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values | table_as_csv
stringlengths 47
8.31k
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29.8k
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10.4k
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stringlengths 55
104
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stringclasses 670
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1.35k
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33.8k
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stringlengths 1.12k
33.7k
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--A2
|
How many fire accidents occurred in Vehicles, Shops, markets, and Farms and public parks in the years 2020, 2019, and 2018?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{417 | 401 | 386} || {174 | 184 | 203} || {115 | 73 | 27}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `How many fire accidents occurred in Vehicles, Shops, markets, and Farms and public parks in the years 2020, 2019, and 2018?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `How many fire accidents occurred in Vehicles, Shops, markets, and Farms and public parks in the years 2020, 2019, and 2018?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--A0
|
What are the top 3 places of occurrence with the highest number of fire accidents in 2020 and how many were there?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
|
{Others | 765} || {Residential premises | 671} || {Vehicles | 417}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `What are the top 3 places of occurrence with the highest number of fire accidents in 2020 and how many were there?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `What are the top 3 places of occurrence with the highest number of fire accidents in 2020 and how many were there?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--M1
|
How many fires were there on ships and boats in years 2017 and 2018 combined?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{10}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `How many fires were there on ships and boats in years 2017 and 2018 combined?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `How many fires were there on ships and boats in years 2017 and 2018 combined?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--A3
|
How many fire accidents occurred in Vehicles and Shops, markets in the year 2020?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{417} || {174}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `How many fire accidents occurred in Vehicles and Shops, markets in the year 2020?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `How many fire accidents occurred in Vehicles and Shops, markets in the year 2020?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--A5
|
For the 'Residential premises' and 'Vehicles', what is the total number of fire accidents that occurred in 2019 and 2020?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{2155}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `For the 'Residential premises' and 'Vehicles', what is the total number of fire accidents that occurred in 2019 and 2020?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `For the 'Residential premises' and 'Vehicles', what is the total number of fire accidents that occurred in 2019 and 2020?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--A1
|
Did the number of fire accidents in residential premises and vehicles combined exceed 1000 in any year from 2017 to 2020?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `Did the number of fire accidents in residential premises and vehicles combined exceed 1000 in any year from 2017 to 2020?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `Did the number of fire accidents in residential premises and vehicles combined exceed 1000 in any year from 2017 to 2020?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--259
|
realWorldHCTs
|
,0,1,2,3,4
0,Year Place of Occurrence,2020,2019,2018,2017
1,Residential premises,671,666,731,697
2,Vehicles,417,401,386,346
3,"Shops, markets",174,184,203,158
4,Industrial enterprises and factories,23,27,9,16
5,Farms and public parks,115,73,27,19
6,Ships and boats,4,4,7,3
7,Medical facilities,5,10,17,7
8,Educational facilities,8,22,50,30
9,Governmental agencies,14,22,29,18
10,Others,765,851,463,369
11,Total,"2,196","2,260","1,922","1,663"
|
<table id="0-1">
<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>
<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>
<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>
<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>
<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>
<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>
<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>
<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>
<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>
<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>
<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>
<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>
</table>
|
| Year Place of Occurrence | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|
| Residential premises | 671 | 666 | 731 | 697 |
| Vehicles | 417 | 401 | 386 | 346 |
| Shops, markets | 174 | 184 | 203 | 158 |
| Industrial enterprises and factories | 23 | 27 | 9 | 16 |
| Farms and public parks | 115 | 73 | 27 | 19 |
| Ships and boats | 4 | 4 | 7 | 3 |
| Medical facilities | 5 | 10 | 17 | 7 |
| Educational facilities | 8 | 22 | 50 | 30 |
| Governmental agencies | 14 | 22 | 29 | 18 |
| Others | 765 | 851 | 463 | 369 |
| Total | 2,196 | 2,260 | 1,922 | 1,663 |
|
./datasets/realWorld_datasets/tables/images/psa_8_259.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--259--A4
|
In the year 2020, were there more fire accidents in residential premises than in vehicles?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `In the year 2020, were there more fire accidents in residential premises than in vehicles?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Year Place of Occurrence</td><td>2020</td><td>2019</td><td>2018</td><td>2017</td></tr>\n<tr><td>Residential premises</td><td>671</td><td>666</td><td>731</td><td>697</td></tr>\n<tr><td>Vehicles</td><td>417</td><td>401</td><td>386</td><td>346</td></tr>\n<tr><td>Shops, markets</td><td>174</td><td>184</td><td>203</td><td>158</td></tr>\n<tr><td>Industrial enterprises and factories</td><td>23</td><td>27</td><td>9</td><td>16</td></tr>\n<tr><td>Farms and public parks</td><td>115</td><td>73</td><td>27</td><td>19</td></tr>\n<tr><td>Ships and boats</td><td>4</td><td>4</td><td>7</td><td>3</td></tr>\n<tr><td>Medical facilities</td><td>5</td><td>10</td><td>17</td><td>7</td></tr>\n<tr><td>Educational facilities</td><td>8</td><td>22</td><td>50</td><td>30</td></tr>\n<tr><td>Governmental agencies</td><td>14</td><td>22</td><td>29</td><td>18</td></tr>\n<tr><td>Others</td><td>765</td><td>851</td><td>463</td><td>369</td></tr>\n<tr><td>Total</td><td>2,196</td><td>2,260</td><td>1,922</td><td>1,663</td></tr>\n</table>` \n\nQuestion: `In the year 2020, were there more fire accidents in residential premises than in vehicles?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--A5
|
How many Non-Qatari females were registered in the age group 30-34?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{24}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `How many Non-Qatari females were registered in the age group 30-34?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `How many Non-Qatari females were registered in the age group 30-34?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--M0
|
What is the number of qataris females when the age group is 10-14?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{1}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the number of qataris females when the age group is 10-14?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the number of qataris females when the age group is 10-14?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--M1
|
What is the value in non qataris males for age group 1?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{5}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the value in non qataris males for age group 1?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the value in non qataris males for age group 1?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--A4
|
What is the total number of registered deaths for Qatari females in the age group 30-34?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{4}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the total number of registered deaths for Qatari females in the age group 30-34?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the total number of registered deaths for Qatari females in the age group 30-34?` \n\n # OUTPUT: \nAnswer:"}]
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psa--4--174
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realWorldHCTs
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,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
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<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
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| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--A3
|
What were the total registered deaths for Non-Qataris and Qataris in the age groups 30-34, 40-44, and 50-54 for both genders?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{152 | 14} || {122 | 14} || {124 | 34 }
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What were the total registered deaths for Non-Qataris and Qataris in the age groups 30-34, 40-44, and 50-54 for both genders?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What were the total registered deaths for Non-Qataris and Qataris in the age groups 30-34, 40-44, and 50-54 for both genders?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--A2
|
For the age groups 30-34 and 45-49, what is the total number of registered deaths for Qatari males and females combined in 2016?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{32}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `For the age groups 30-34 and 45-49, what is the total number of registered deaths for Qatari males and females combined in 2016?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `For the age groups 30-34 and 45-49, what is the total number of registered deaths for Qatari males and females combined in 2016?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--A1
|
What are the top 2 age groups of Qatari females that registered the highest number of deaths in 2016, and how many deaths were registered for each of those groups?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 2}
|
{80-84 | 40} || {70-74 | 31}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What are the top 2 age groups of Qatari females that registered the highest number of deaths in 2016, and how many deaths were registered for each of those groups?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What are the top 2 age groups of Qatari females that registered the highest number of deaths in 2016, and how many deaths were registered for each of those groups?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--4--174
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,Nationality & Gender Age Group (in Years),Total,__,__,Non-Qataris,__,__,Qataris,__,__,()
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males,__
2,Under 1 Year,161,79,82,108,54,54,53,25,28,
3,1,15,9,6,13,8,5,2,1,1,
4,2,4,1,3,3,1,2,1,0,1,
5,3,7,1,6,7,1,6,0,0,0,
6,4,3,2,1,2,1,1,1,1,0,
7,Total,190,92,98,133,65,68,57,27,30,
8,5-9,22,11,11,17,8,9,5,3,2,-
9,10-14,17,4,13,8,3,5,9,1,8,-
10,15-19,34,7,27,17,3,14,17,4,13,-
11,20-24,114,8,106,87,4,83,27,4,23,-
12,25-29,152,12,140,135,10,125,17,2,15,-
13,30-34,166,28,138,152,24,128,14,4,10,-
14,35-39,170,24,146,151,16,135,19,8,11,-
15,40-44,136,23,113,122,19,103,14,4,10,-
16,45-49,181,26,155,163,21,142,18,5,13,-
17,50-54,158,26,132,124,13,111,34,13,21,-
18,55-59,189,38,151,136,22,114,53,16,37,-
19,60-64,171,56,115,105,28,77,66,28,38,-
20,65-69,151,48,103,94,28,66,57,20,37,-
21,70-74,144,58,86,83,27,56,61,31,30,-
22,75-79,114,40,74,47,13,34,67,27,40,-
23,80-84,135,58,77,43,18,25,92,40,52,-
24,85-89,55,23,32,19,8,11,36,15,21,-
25,90-94,29,10,19,8,3,5,21,7,14,-
26,95+,18,8,10,8,4,4,10,4,6,+
27,Not Stated,1,0,1,0,0,0,1,0,1,
28,Total,"2,347",600,"1,747","1,652",337,"1,315",695,263,432,
|
<table id="0-1">
<tr><td rowspan="2">Nationality & Gender</td><td colspan="3">Total</td><td colspan="3">Non-Qataris</td><td colspan="3">QatariS</td><td rowspan="2">()</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>
<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>
<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>
<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>
<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>
<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>
<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>
<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>
<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>
<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>
<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>
<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>
<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>
<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>
<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>
<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>
<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>
<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>
<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>
<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>
<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>
<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>
<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>
<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>
<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>
</table>
|
| Nationality & Gender | Total | | | Non-Qataris | | | QatariS | | | () |
|---|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males | |
| Under 1 Year | 161 | 79 | 82 | 108 | 54 | 54 | 53 | 25 | 28 | |
| 1 | 15 | 9 | 6 | 13 | 8 | 5 | 2 | 1 | 1 | |
| 2 | 4 | 1 | 3 | 3 | 1 | 2 | 1 | 0 | 1 | |
| 3 | 7 | 1 | 6 | 7 | 1 | 6 | 0 | 0 | 0 | |
| 4 | 3 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | |
| Total | 190 | 92 | 98 | 133 | 65 | 68 | 57 | 27 | 30 | |
| 5-9 | 22 | 11 | 11 | 17 | 8 | 9 | 5 | 3 | 2 | - |
| 10-14 | 17 | 4 | 13 | 8 | 3 | 5 | 9 | 1 | 8 | - |
| 15-19 | 34 | 7 | 27 | 17 | 3 | 14 | 17 | 4 | 13 | - |
| 20-24 | 114 | 8 | 106 | 87 | 4 | 83 | 27 | 4 | 23 | - |
| 25-29 | 152 | 12 | 140 | 135 | 10 | 125 | 17 | 2 | 15 | - |
| 30-34 | 166 | 28 | 138 | 152 | 24 | 128 | 14 | 4 | 10 | - |
| 35-39 | 170 | 24 | 146 | 151 | 16 | 135 | 19 | 8 | 11 | - |
| 40-44 | 136 | 23 | 113 | 122 | 19 | 103 | 14 | 4 | 10 | |
| 45-49 | 181 | 26 | 155 | 163 | 21 | 142 | 18 | 5 | 13 | - |
| 50-54 | 158 | 26 | 132 | 124 | 13 | 111 | 34 | 13 | 21 | . |
| 55-59 | 189 | 38 | 151 | 136 | 22 | 114 | 53 | 16 | 37 | - |
| 60-64 | 171 | 56 | 115 | 105 | 28 | 77 | 66 | 28 | 38 | |
| 65-69 | 151 | 48 | 103 | 94 | 28 | 66 | 57 | 20 | 37 | - |
| 70-74 | 144 | 58 | 86 | 83 | 27 | 56 | 61 | 31 | 30 | |
| 75-79 | 114 | 40 | 74 | 47 | 13 | 34 | 67 | 27 | 40 | - |
| 80-84 | 135 | 58 | 77 | 43 | 18 | 25 | 92 | 40 | 52 | - |
| 85-89 | 55 | 23 | 32 | 19 | 8 | 11 | 36 | 15 | 21 | - |
| 90-94 | 29 | 10 | 19 | 8 | 3 | 5 | 21 | 7 | 14 | - |
| 95+ | 18 | 8 | 10 | 8 | 4 | 4 | 10 | 4 | 6 | + |
| Not Stated | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
| Total | 2,347 | 600 | 1,747 | 1,652 | 337 | 1,315 | 695 | 263 | 432 | |
|
./datasets/realWorld_datasets/tables/images/psa_4_174.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--4--174--A0
|
What is the maximum number of registered deaths for Non-Qataris Males and the minimum number of registered deaths for Qataris Females in any age group in 2016?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{142} || {0}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the maximum number of registered deaths for Non-Qataris Males and the minimum number of registered deaths for Qataris Females in any age group in 2016?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Nationality & Gender</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qataris</td><td colspan=\"3\">QatariS</td><td rowspan=\"2\">()</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Under 1 Year</td><td>161</td><td>79</td><td>82</td><td>108</td><td>54</td><td>54</td><td>53</td><td>25</td><td>28</td></tr>\n<tr><td>1</td><td>15</td><td>9</td><td>6</td><td>13</td><td>8</td><td>5</td><td>2</td><td>1</td><td>1</td></tr>\n<tr><td>2</td><td>4</td><td>1</td><td>3</td><td>3</td><td>1</td><td>2</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>3</td><td>7</td><td>1</td><td>6</td><td>7</td><td>1</td><td>6</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>4</td><td>3</td><td>2</td><td>1</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n<tr><td>Total</td><td>190</td><td>92</td><td>98</td><td>133</td><td>65</td><td>68</td><td>57</td><td>27</td><td>30</td></tr>\n<tr><td>5-9</td><td>22</td><td>11</td><td>11</td><td>17</td><td>8</td><td>9</td><td>5</td><td>3</td><td>2</td><td>-</td></tr>\n<tr><td>10-14</td><td>17</td><td>4</td><td>13</td><td>8</td><td>3</td><td>5</td><td>9</td><td>1</td><td>8</td><td>-</td></tr>\n<tr><td>15-19</td><td>34</td><td>7</td><td>27</td><td>17</td><td>3</td><td>14</td><td>17</td><td>4</td><td>13</td><td>-</td></tr>\n<tr><td>20-24</td><td>114</td><td>8</td><td>106</td><td>87</td><td>4</td><td>83</td><td>27</td><td>4</td><td>23</td><td>-</td></tr>\n<tr><td>25-29</td><td>152</td><td>12</td><td>140</td><td>135</td><td>10</td><td>125</td><td>17</td><td>2</td><td>15</td><td>-</td></tr>\n<tr><td>30-34</td><td>166</td><td>28</td><td>138</td><td>152</td><td>24</td><td>128</td><td>14</td><td>4</td><td>10</td><td>-</td></tr>\n<tr><td>35-39</td><td>170</td><td>24</td><td>146</td><td>151</td><td>16</td><td>135</td><td>19</td><td>8</td><td>11</td><td>-</td></tr>\n<tr><td>40-44</td><td>136</td><td>23</td><td>113</td><td>122</td><td>19</td><td>103</td><td>14</td><td>4</td><td>10</td></tr>\n<tr><td>45-49</td><td>181</td><td>26</td><td>155</td><td>163</td><td>21</td><td>142</td><td>18</td><td>5</td><td>13</td><td>-</td></tr>\n<tr><td>50-54</td><td>158</td><td>26</td><td>132</td><td>124</td><td>13</td><td>111</td><td>34</td><td>13</td><td>21</td><td>.</td></tr>\n<tr><td>55-59</td><td>189</td><td>38</td><td>151</td><td>136</td><td>22</td><td>114</td><td>53</td><td>16</td><td>37</td><td>-</td></tr>\n<tr><td>60-64</td><td>171</td><td>56</td><td>115</td><td>105</td><td>28</td><td>77</td><td>66</td><td>28</td><td>38</td></tr>\n<tr><td>65-69</td><td>151</td><td>48</td><td>103</td><td>94</td><td>28</td><td>66</td><td>57</td><td>20</td><td>37</td><td>-</td></tr>\n<tr><td>70-74</td><td>144</td><td>58</td><td>86</td><td>83</td><td>27</td><td>56</td><td>61</td><td>31</td><td>30</td></tr>\n<tr><td>75-79</td><td>114</td><td>40</td><td>74</td><td>47</td><td>13</td><td>34</td><td>67</td><td>27</td><td>40</td><td>-</td></tr>\n<tr><td>80-84</td><td>135</td><td>58</td><td>77</td><td>43</td><td>18</td><td>25</td><td>92</td><td>40</td><td>52</td><td>-</td></tr>\n<tr><td>85-89</td><td>55</td><td>23</td><td>32</td><td>19</td><td>8</td><td>11</td><td>36</td><td>15</td><td>21</td><td>-</td></tr>\n<tr><td>90-94</td><td>29</td><td>10</td><td>19</td><td>8</td><td>3</td><td>5</td><td>21</td><td>7</td><td>14</td><td>-</td></tr>\n<tr><td>95+</td><td>18</td><td>8</td><td>10</td><td>8</td><td>4</td><td>4</td><td>10</td><td>4</td><td>6</td><td>+</td></tr>\n<tr><td>Not Stated</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td></tr>\n<tr><td>Total</td><td>2,347</td><td>600</td><td>1,747</td><td>1,652</td><td>337</td><td>1,315</td><td>695</td><td>263</td><td>432</td></tr>\n</table>` \n\nQuestion: `What is the maximum number of registered deaths for Non-Qataris Males and the minimum number of registered deaths for Qataris Females in any age group in 2016?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--17--6049
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Methods,FB15K-DB15K (20%),__,__,FB15K-DB15K (50%),__,__,FB15K-DB15K (80%),__,__
1,__,MRR,Hits@1,Hits@10,MRR,Hits@1,Hits@10,MRR,Hits@1,Hits@10
2,"TransE (Bordes et al., 2013)",13.4,7.8,24.0,30.6,23.0,44.6,50.7,42.6,65.9
3,"GCN-align (Wang et al., 2018a)",8.7,5.3,17.4,29.3,22.6,43.5,47.2,41.4,63.5
4,"AttrGNN (Liu et al., 2020b)",34.3,25.2,53.5,54.7,47.3,72.1,70.3,67.1,83.9
5,"BERT (Devlin et al., 2019)",32.6,24.3,48.0,49.6,45.2,67.9,65.3,64.5,80.1
6,"ViT (Dosovitskiy et al., 2021)",33.5,25.1,53.9,50.5,45.5,69.0,71.5,66.8,85.7
7,"CLIP (Radford et al., 2021)",35.4,27.0,55.3,54.1,48.7,71.4,73.9,68.3,86.0
8,"PoE (Liu et al., 2019)",17.0,12.6,25.1,53.3,46.4,65.8,72.1,66.6,82.0
9,"Chen et al. (Chen et al., 2020)",35.7,26.5,54.1,51.2,41.7,70.3,68.5,59.0,86.9
10,"HEA (Guo et al., 2021)",,12.7,36.9,,26.2,58.1,,41.7,78.6
11,"EVA (Liu et al., 2021)",35.2,28.9,54.5,53.8,45.3,72.9,71.6,63.5,85.1
12,"ACK-MMEA (Li et al., 2023a)",38.7,30.4,54.9,62.4,56.0,73.6,75.2,68.2,87.4
13,MoAlign (ours),40.9 (12.2),31.8 (+1.4),56.4(11.1),63.4 (+1.0),57.6(+1.6),74.9 (11.3),77.3 (12.1),69.9 (+1.6),88.2 (+0.8)
|
<table id="0-1">
<tr><td rowspan="2">Methods</td><td colspan="3">FB15K-DB15K (20%)</td><td colspan="3">FB15K-DB15K (50%)</td><td colspan="3">FB15K-DB15K (80%)</td></tr>
<tr><td>MRR</td><td>Hits@1</td><td>Hits@10</td><td>MRR</td><td>Hits@1</td><td>Hits@10</td><td>MRR</td><td>Hits@1</td><td>Hits@10</td></tr>
<tr><td>TransE (Bordes et al., 2013)</td><td>13.4</td><td>7.8</td><td>24.0</td><td>30.6</td><td>23.0</td><td>44.6</td><td>50.7</td><td>42.6</td><td>65.9</td></tr>
<tr><td>GCN-align (Wang et al., 2018a)</td><td>8.7</td><td>5.3</td><td>17.4</td><td>29.3</td><td>22.6</td><td>43.5</td><td>47.2</td><td>41.4</td><td>63.5</td></tr>
<tr><td>AttrGNN (Liu et al., 2020b)</td><td>34.3</td><td>25.2</td><td>53.5</td><td>54.7</td><td>47.3</td><td>72.1</td><td>70.3</td><td>67.1</td><td>83.9</td></tr>
<tr><td>BERT (Devlin et al., 2019)</td><td>32.6</td><td>24.3</td><td>48.0</td><td>49.6</td><td>45.2</td><td>67.9</td><td>65.3</td><td>64.5</td><td>80.1</td></tr>
<tr><td>ViT (Dosovitskiy et al., 2021)</td><td>33.5</td><td>25.1</td><td>53.9</td><td>50.5</td><td>45.5</td><td>69.0</td><td>71.5</td><td>66.8</td><td>85.7</td></tr>
<tr><td>CLIP (Radford et al., 2021)</td><td>35.4</td><td>27.0</td><td>55.3</td><td>54.1</td><td>48.7</td><td>71.4</td><td>73.9</td><td>68.3</td><td>86.0</td></tr>
<tr><td>PoE (Liu et al., 2019)</td><td>17.0</td><td>12.6</td><td>25.1</td><td>53.3</td><td>46.4</td><td>65.8</td><td>72.1</td><td>66.6</td><td>82.0</td></tr>
<tr><td>Chen et al. (Chen et al., 2020)</td><td>35.7</td><td>26.5</td><td>54.1</td><td>51.2</td><td>41.7</td><td>70.3</td><td>68.5</td><td>59.0</td><td>86.9</td></tr>
<tr><td>HEA (Guo et al., 2021)</td><td></td><td>12.7</td><td>36.9</td><td></td><td>26.2</td><td>58.1</td><td></td><td>41.7</td><td>78.6</td></tr>
<tr><td>EVA (Liu et al., 2021)</td><td>35.2</td><td>28.9</td><td>54.5</td><td>53.8</td><td>45.3</td><td>72.9</td><td>71.6</td><td>63.5</td><td>85.1</td></tr>
<tr><td>ACK-MMEA (Li et al., 2023a)</td><td>38.7</td><td>30.4</td><td>54.9</td><td>62.4</td><td>56.0</td><td>73.6</td><td>75.2</td><td>68.2</td><td>87.4</td></tr>
<tr><td>MoAlign (ours)</td><td>40.9 (↑2.2)</td><td>31.8 (↑1.4)</td><td>56.4 (↑1.1)</td><td>63.4 (↑1.0)</td><td>57.6 (↑1.6)</td><td>74.9 (↑1.3)</td><td>77.3 (↑2.1)</td><td>69.9 (↑1.6)</td><td>88.2 (↑0.8)</td></tr>
</table>
|
| Methods | FB15K-DB15K (20%) | | | FB15K-DB15K (50%) | | | FB15K-DB15K (80%) | | |
|---|---|---|---|---|---|---|---|---|---|
| | MRR | Hits@1 | Hits@10 | MRR | Hits@1 | Hits@10 | MRR | Hits@1 | Hits@10 |
| TransE (Bordes et al., 2013) | 13.4 | 7.8 | 24.0 | 30.6 | 23.0 | 44.6 | 50.7 | 42.6 | 65.9 |
| GCN-align (Wang et al., 2018a) | 8.7 | 5.3 | 17.4 | 29.3 | 22.6 | 43.5 | 47.2 | 41.4 | 63.5 |
| AttrGNN (Liu et al., 2020b) | 34.3 | 25.2 | 53.5 | 54.7 | 47.3 | 72.1 | 70.3 | 67.1 | 83.9 |
| BERT (Devlin et al., 2019) | 32.6 | 24.3 | 48.0 | 49.6 | 45.2 | 67.9 | 65.3 | 64.5 | 80.1 |
| ViT (Dosovitskiy et al., 2021) | 33.5 | 25.1 | 53.9 | 50.5 | 45.5 | 69.0 | 71.5 | 66.8 | 85.7 |
| CLIP (Radford et al., 2021) | 35.4 | 27.0 | 55.3 | 54.1 | 48.7 | 71.4 | 73.9 | 68.3 | 86.0 |
| PoE (Liu et al., 2019) | 17.0 | 12.6 | 25.1 | 53.3 | 46.4 | 65.8 | 72.1 | 66.6 | 82.0 |
| Chen et al. (Chen et al., 2020) | 35.7 | 26.5 | 54.1 | 51.2 | 41.7 | 70.3 | 68.5 | 59.0 | 86.9 |
| HEA (Guo et al., 2021) | | 12.7 | 36.9 | | 26.2 | 58.1 | | 41.7 | 78.6 |
| EVA (Liu et al., 2021) | 35.2 | 28.9 | 54.5 | 53.8 | 45.3 | 72.9 | 71.6 | 63.5 | 85.1 |
| ACK-MMEA (Li et al., 2023a) | 38.7 | 30.4 | 54.9 | 62.4 | 56.0 | 73.6 | 75.2 | 68.2 | 87.4 |
| MoAlign (ours) | 40.9 (↑2.2) | 31.8 (↑1.4) | 56.4 (↑1.1) | 63.4 (↑1.0) | 57.6 (↑1.6) | 74.9 (↑1.3) | 77.3 (↑2.1) | 69.9 (↑1.6) | 88.2 (↑0.8) |
|
./datasets/realWorld_datasets/tables/images/arxiv_17_6049.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--17--6049--M0
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Report the MRR result of FB15K-DB15K (50%) for GCN-align
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{29.3}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Methods</td><td colspan=\"3\">FB15K-DB15K (20%)</td><td colspan=\"3\">FB15K-DB15K (50%)</td><td colspan=\"3\">FB15K-DB15K (80%)</td></tr>\n<tr><td>MRR</td><td>Hits@1</td><td>Hits@10</td><td>MRR</td><td>Hits@1</td><td>Hits@10</td><td>MRR</td><td>Hits@1</td><td>Hits@10</td></tr>\n<tr><td>TransE (Bordes et al., 2013)</td><td>13.4</td><td>7.8</td><td>24.0</td><td>30.6</td><td>23.0</td><td>44.6</td><td>50.7</td><td>42.6</td><td>65.9</td></tr>\n<tr><td>GCN-align (Wang et al., 2018a)</td><td>8.7</td><td>5.3</td><td>17.4</td><td>29.3</td><td>22.6</td><td>43.5</td><td>47.2</td><td>41.4</td><td>63.5</td></tr>\n<tr><td>AttrGNN (Liu et al., 2020b)</td><td>34.3</td><td>25.2</td><td>53.5</td><td>54.7</td><td>47.3</td><td>72.1</td><td>70.3</td><td>67.1</td><td>83.9</td></tr>\n<tr><td>BERT (Devlin et al., 2019)</td><td>32.6</td><td>24.3</td><td>48.0</td><td>49.6</td><td>45.2</td><td>67.9</td><td>65.3</td><td>64.5</td><td>80.1</td></tr>\n<tr><td>ViT (Dosovitskiy et al., 2021)</td><td>33.5</td><td>25.1</td><td>53.9</td><td>50.5</td><td>45.5</td><td>69.0</td><td>71.5</td><td>66.8</td><td>85.7</td></tr>\n<tr><td>CLIP (Radford et al., 2021)</td><td>35.4</td><td>27.0</td><td>55.3</td><td>54.1</td><td>48.7</td><td>71.4</td><td>73.9</td><td>68.3</td><td>86.0</td></tr>\n<tr><td>PoE (Liu et al., 2019)</td><td>17.0</td><td>12.6</td><td>25.1</td><td>53.3</td><td>46.4</td><td>65.8</td><td>72.1</td><td>66.6</td><td>82.0</td></tr>\n<tr><td>Chen et al. (Chen et al., 2020)</td><td>35.7</td><td>26.5</td><td>54.1</td><td>51.2</td><td>41.7</td><td>70.3</td><td>68.5</td><td>59.0</td><td>86.9</td></tr>\n<tr><td>HEA (Guo et al., 2021)</td><td></td><td>12.7</td><td>36.9</td><td></td><td>26.2</td><td>58.1</td><td></td><td>41.7</td><td>78.6</td></tr>\n<tr><td>EVA (Liu et al., 2021)</td><td>35.2</td><td>28.9</td><td>54.5</td><td>53.8</td><td>45.3</td><td>72.9</td><td>71.6</td><td>63.5</td><td>85.1</td></tr>\n<tr><td>ACK-MMEA (Li et al., 2023a)</td><td>38.7</td><td>30.4</td><td>54.9</td><td>62.4</td><td>56.0</td><td>73.6</td><td>75.2</td><td>68.2</td><td>87.4</td></tr>\n<tr><td>MoAlign (ours)</td><td>40.9 (\u21912.2)</td><td>31.8 (\u21911.4)</td><td>56.4 (\u21911.1)</td><td>63.4 (\u21911.0)</td><td>57.6 (\u21911.6)</td><td>74.9 (\u21911.3)</td><td>77.3 (\u21912.1)</td><td>69.9 (\u21911.6)</td><td>88.2 (\u21910.8)</td></tr>\n</table>` \n\nQuestion: `Report the MRR result of FB15K-DB15K (50%) for GCN-align` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Methods</td><td colspan=\"3\">FB15K-DB15K (20%)</td><td colspan=\"3\">FB15K-DB15K (50%)</td><td colspan=\"3\">FB15K-DB15K (80%)</td></tr>\n<tr><td>MRR</td><td>Hits@1</td><td>Hits@10</td><td>MRR</td><td>Hits@1</td><td>Hits@10</td><td>MRR</td><td>Hits@1</td><td>Hits@10</td></tr>\n<tr><td>TransE (Bordes et al., 2013)</td><td>13.4</td><td>7.8</td><td>24.0</td><td>30.6</td><td>23.0</td><td>44.6</td><td>50.7</td><td>42.6</td><td>65.9</td></tr>\n<tr><td>GCN-align (Wang et al., 2018a)</td><td>8.7</td><td>5.3</td><td>17.4</td><td>29.3</td><td>22.6</td><td>43.5</td><td>47.2</td><td>41.4</td><td>63.5</td></tr>\n<tr><td>AttrGNN (Liu et al., 2020b)</td><td>34.3</td><td>25.2</td><td>53.5</td><td>54.7</td><td>47.3</td><td>72.1</td><td>70.3</td><td>67.1</td><td>83.9</td></tr>\n<tr><td>BERT (Devlin et al., 2019)</td><td>32.6</td><td>24.3</td><td>48.0</td><td>49.6</td><td>45.2</td><td>67.9</td><td>65.3</td><td>64.5</td><td>80.1</td></tr>\n<tr><td>ViT (Dosovitskiy et al., 2021)</td><td>33.5</td><td>25.1</td><td>53.9</td><td>50.5</td><td>45.5</td><td>69.0</td><td>71.5</td><td>66.8</td><td>85.7</td></tr>\n<tr><td>CLIP (Radford et al., 2021)</td><td>35.4</td><td>27.0</td><td>55.3</td><td>54.1</td><td>48.7</td><td>71.4</td><td>73.9</td><td>68.3</td><td>86.0</td></tr>\n<tr><td>PoE (Liu et al., 2019)</td><td>17.0</td><td>12.6</td><td>25.1</td><td>53.3</td><td>46.4</td><td>65.8</td><td>72.1</td><td>66.6</td><td>82.0</td></tr>\n<tr><td>Chen et al. (Chen et al., 2020)</td><td>35.7</td><td>26.5</td><td>54.1</td><td>51.2</td><td>41.7</td><td>70.3</td><td>68.5</td><td>59.0</td><td>86.9</td></tr>\n<tr><td>HEA (Guo et al., 2021)</td><td></td><td>12.7</td><td>36.9</td><td></td><td>26.2</td><td>58.1</td><td></td><td>41.7</td><td>78.6</td></tr>\n<tr><td>EVA (Liu et al., 2021)</td><td>35.2</td><td>28.9</td><td>54.5</td><td>53.8</td><td>45.3</td><td>72.9</td><td>71.6</td><td>63.5</td><td>85.1</td></tr>\n<tr><td>ACK-MMEA (Li et al., 2023a)</td><td>38.7</td><td>30.4</td><td>54.9</td><td>62.4</td><td>56.0</td><td>73.6</td><td>75.2</td><td>68.2</td><td>87.4</td></tr>\n<tr><td>MoAlign (ours)</td><td>40.9 (\u21912.2)</td><td>31.8 (\u21911.4)</td><td>56.4 (\u21911.1)</td><td>63.4 (\u21911.0)</td><td>57.6 (\u21911.6)</td><td>74.9 (\u21911.3)</td><td>77.3 (\u21912.1)</td><td>69.9 (\u21911.6)</td><td>88.2 (\u21910.8)</td></tr>\n</table>` \n\nQuestion: `Report the MRR result of FB15K-DB15K (50%) for GCN-align` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--26--10130
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Model,OVerall,__,Head,__,Tail,__
1,__,NDCG@10,HR@10,NDCG@10,HR@10,NDCG@10,HR@10
2,MGLB,0.04297,0.06113,0.05206,0.07986,0.01123,0.02282
3,MGLF,0.04842,0.06935,0.05590,0.08748,0.02452,0.04528
4,MGL,0.05347,0.07551,0.06302,0.09610,0.02666,0.05082
|
<table id="0-1">
<tr><td rowspan="2">Model</td><td colspan="2">Overall</td><td colspan="2">Head</td><td colspan="2">Tail</td></tr>
<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>
<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>
<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>
<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>
</table>
|
| Model | Overall | | Head | | Tail | |
|---|---|---|---|---|---|---|
| | NDCG@10 | HR@10 | NDCG@10 | HR@10 | NDCG@10 | HR@10 |
| MGLB | 0.04297 | 0.06113 | 0.05206 | 0.07986 | 0.01123 | 0.02282 |
| MGLF | 0.04842 | 0.06935 | 0.05590 | 0.08748 | 0.02452 | 0.04528 |
| MGL | 0.05347 | 0.07551 | 0.06302 | 0.09610 | 0.02666 | 0.05082 |
|
./datasets/realWorld_datasets/tables/images/arxiv_26_10130.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10130--M1
|
Report the highest value of NDCG@10 in Head.
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.06302}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `Report the highest value of NDCG@10 in Head.` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `Report the highest value of NDCG@10 in Head.` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--26--10130
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Model,OVerall,__,Head,__,Tail,__
1,__,NDCG@10,HR@10,NDCG@10,HR@10,NDCG@10,HR@10
2,MGLB,0.04297,0.06113,0.05206,0.07986,0.01123,0.02282
3,MGLF,0.04842,0.06935,0.05590,0.08748,0.02452,0.04528
4,MGL,0.05347,0.07551,0.06302,0.09610,0.02666,0.05082
|
<table id="0-1">
<tr><td rowspan="2">Model</td><td colspan="2">Overall</td><td colspan="2">Head</td><td colspan="2">Tail</td></tr>
<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>
<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>
<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>
<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>
</table>
|
| Model | Overall | | Head | | Tail | |
|---|---|---|---|---|---|---|
| | NDCG@10 | HR@10 | NDCG@10 | HR@10 | NDCG@10 | HR@10 |
| MGLB | 0.04297 | 0.06113 | 0.05206 | 0.07986 | 0.01123 | 0.02282 |
| MGLF | 0.04842 | 0.06935 | 0.05590 | 0.08748 | 0.02452 | 0.04528 |
| MGL | 0.05347 | 0.07551 | 0.06302 | 0.09610 | 0.02666 | 0.05082 |
|
./datasets/realWorld_datasets/tables/images/arxiv_26_10130.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10130--A1
|
What are the NDCG@10 and HR@10 values in the Overall category for the models MGL_B and MGL_F?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.04297 | 0.06113} || {0.04842 | 0.06935}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `What are the NDCG@10 and HR@10 values in the Overall category for the models MGL_B and MGL_F?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `What are the NDCG@10 and HR@10 values in the Overall category for the models MGL_B and MGL_F?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--26--10130
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Model,OVerall,__,Head,__,Tail,__
1,__,NDCG@10,HR@10,NDCG@10,HR@10,NDCG@10,HR@10
2,MGLB,0.04297,0.06113,0.05206,0.07986,0.01123,0.02282
3,MGLF,0.04842,0.06935,0.05590,0.08748,0.02452,0.04528
4,MGL,0.05347,0.07551,0.06302,0.09610,0.02666,0.05082
|
<table id="0-1">
<tr><td rowspan="2">Model</td><td colspan="2">Overall</td><td colspan="2">Head</td><td colspan="2">Tail</td></tr>
<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>
<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>
<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>
<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>
</table>
|
| Model | Overall | | Head | | Tail | |
|---|---|---|---|---|---|---|
| | NDCG@10 | HR@10 | NDCG@10 | HR@10 | NDCG@10 | HR@10 |
| MGLB | 0.04297 | 0.06113 | 0.05206 | 0.07986 | 0.01123 | 0.02282 |
| MGLF | 0.04842 | 0.06935 | 0.05590 | 0.08748 | 0.02452 | 0.04528 |
| MGL | 0.05347 | 0.07551 | 0.06302 | 0.09610 | 0.02666 | 0.05082 |
|
./datasets/realWorld_datasets/tables/images/arxiv_26_10130.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10130--M0
|
report NDCG@10 in Head part for MGL model
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.06302}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `report NDCG@10 in Head part for MGL model` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `report NDCG@10 in Head part for MGL model` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--26--10130
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Model,OVerall,__,Head,__,Tail,__
1,__,NDCG@10,HR@10,NDCG@10,HR@10,NDCG@10,HR@10
2,MGLB,0.04297,0.06113,0.05206,0.07986,0.01123,0.02282
3,MGLF,0.04842,0.06935,0.05590,0.08748,0.02452,0.04528
4,MGL,0.05347,0.07551,0.06302,0.09610,0.02666,0.05082
|
<table id="0-1">
<tr><td rowspan="2">Model</td><td colspan="2">Overall</td><td colspan="2">Head</td><td colspan="2">Tail</td></tr>
<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>
<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>
<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>
<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>
</table>
|
| Model | Overall | | Head | | Tail | |
|---|---|---|---|---|---|---|
| | NDCG@10 | HR@10 | NDCG@10 | HR@10 | NDCG@10 | HR@10 |
| MGLB | 0.04297 | 0.06113 | 0.05206 | 0.07986 | 0.01123 | 0.02282 |
| MGLF | 0.04842 | 0.06935 | 0.05590 | 0.08748 | 0.02452 | 0.04528 |
| MGL | 0.05347 | 0.07551 | 0.06302 | 0.09610 | 0.02666 | 0.05082 |
|
./datasets/realWorld_datasets/tables/images/arxiv_26_10130.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10130--A0
|
What are the minimum and maximum NDCG@10 values in the Tail section for models MGL_B and MGL_F?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.01123} || {0.02452}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `What are the minimum and maximum NDCG@10 values in the Tail section for models MGL_B and MGL_F?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `What are the minimum and maximum NDCG@10 values in the Tail section for models MGL_B and MGL_F?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--26--10130
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Model,OVerall,__,Head,__,Tail,__
1,__,NDCG@10,HR@10,NDCG@10,HR@10,NDCG@10,HR@10
2,MGLB,0.04297,0.06113,0.05206,0.07986,0.01123,0.02282
3,MGLF,0.04842,0.06935,0.05590,0.08748,0.02452,0.04528
4,MGL,0.05347,0.07551,0.06302,0.09610,0.02666,0.05082
|
<table id="0-1">
<tr><td rowspan="2">Model</td><td colspan="2">Overall</td><td colspan="2">Head</td><td colspan="2">Tail</td></tr>
<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>
<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>
<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>
<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>
</table>
|
| Model | Overall | | Head | | Tail | |
|---|---|---|---|---|---|---|
| | NDCG@10 | HR@10 | NDCG@10 | HR@10 | NDCG@10 | HR@10 |
| MGLB | 0.04297 | 0.06113 | 0.05206 | 0.07986 | 0.01123 | 0.02282 |
| MGLF | 0.04842 | 0.06935 | 0.05590 | 0.08748 | 0.02452 | 0.04528 |
| MGL | 0.05347 | 0.07551 | 0.06302 | 0.09610 | 0.02666 | 0.05082 |
|
./datasets/realWorld_datasets/tables/images/arxiv_26_10130.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--26--10130--A2
|
What is the NDCG@10 value in the Overall category for the model MGL_F?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.04842}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `What is the NDCG@10 value in the Overall category for the model MGL_F?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Model</td><td colspan=\"2\">Overall</td><td colspan=\"2\">Head</td><td colspan=\"2\">Tail</td></tr>\n<tr><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td><td>NDCG@10</td><td>HR@10</td></tr>\n<tr><td>MGLB</td><td>0.04297</td><td>0.06113</td><td>0.05206</td><td>0.07986</td><td>0.01123</td><td>0.02282</td></tr>\n<tr><td>MGLF</td><td>0.04842</td><td>0.06935</td><td>0.05590</td><td>0.08748</td><td>0.02452</td><td>0.04528</td></tr>\n<tr><td>MGL</td><td>0.05347</td><td>0.07551</td><td>0.06302</td><td>0.09610</td><td>0.02666</td><td>0.05082</td></tr>\n</table>` \n\nQuestion: `What is the NDCG@10 value in the Overall category for the model MGL_F?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--25--10084
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Dataset,Model,Metric,the number of noise features K,__,__,__,__
1,__,__,__,10,25,50,75,100
2,Avazu,DNN,AUC Log Loss,0.8006,0.8006,0.8005,0.8006,0.8007
3,__,__,__,0.3674,0.3675,0.3674,0.3674,0.3673
4,__,DCNv2,AUC Log Loss,0.8029,0.8029,0.8027,0.8027,0.8027
5,__,__,__,0.3661,0.3661,0.3661,0.3662,0.3661
6,__,DeepFM,AUC Log Loss,0.7998,0.7998,0.7999,0.7998,0.7999
7,__,__,__,0.3680,0.3680,0.3678,0.3680,0.3680
8,Criteo,DNN,AUC Log Loss,0.8145,0.8145,0.8146,0.8146,0.8147
9,__,__,__,0.4374,0.4373,0.4372,0.4372,0.4372
10,__,DCNv2,AUC Log Loss,0.8163,0.8164,0.8164,0.8165,0.8165 0.4355
11,__,__,__,0.4357,0.4356,0.4356,0.4355,__
12,__,DeepFM,AUC Log Loss,0.8125,0.8126,0.8127,0.8126,0.8126
13,__,__,__,0.4392,0.4392,0.4390,0.4393,0.4392
|
<table id="0-1">
<tr><td rowspan="2">Dataset</td><td rowspan="2">Model</td><td rowspan="2">Metric</td><td colspan="5">the number of noise features K</td></tr>
<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>
<tr><td rowspan="6">Avazu</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>
<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>
<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>
<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>
<tr><td rowspan="6">Criteo</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>
<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>
<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>
<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>
</table>
|
| Dataset | Model | Metric | the number of noise features K | | | | |
|---|---|---|---|---|---|---|---|
| | | | 10 | 25 | 50 | 75 | 100 |
| Avazu | DNN | AUC | 0.8006 | 0.8006 | 0.8005 | 0.8006 | 0.8007 |
| | | Log Loss | 0.3674 | 0.3675 | 0.3674 | 0.3674 | 0.3673 |
| | DCNv2 | AUC | 0.8029 | 0.8029 | 0.8027 | 0.8027 | 0.8027 |
| | | Log Loss | 0.3661 | 0.3661 | 0.3661 | 0.3662 | 0.3661 |
| | DeepFM | AUC | 0.7998 | 0.7998 | 0.7999 | 0.7998 | 0.7999 |
| | | Log Loss | 0.3680 | 0.3680 | 0.3678 | 0.3680 | 0.3680 |
| Criteo | DNN | AUC | 0.8145 | 0.8145 | 0.8146 | 0.8146 | 0.8147 |
| | | Log Loss | 0.4374 | 0.4373 | 0.4372 | 0.4372 | 0.4372 |
| | DCNv2 | AUC | 0.8163 | 0.8164 | 0.8164 | 0.8165 | 0.8165 |
| | | Log Loss | 0.4357 | 0.4356 | 0.4356 | 0.4355 | 0.4355 |
| | DeepFM | AUC | 0.8125 | 0.8126 | 0.8127 | 0.8126 | 0.8126 |
| | | Log Loss | 0.4392 | 0.4392 | 0.4390 | 0.4393 | 0.4392 |
|
./datasets/realWorld_datasets/tables/images/arxiv_25_10084.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--25--10084--A0
|
For the Avazu dataset using the DNN model, what is the difference in AUC metric between the number of noise features K=10 and K=50?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0.0001}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `For the Avazu dataset using the DNN model, what is the difference in AUC metric between the number of noise features K=10 and K=50?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `For the Avazu dataset using the DNN model, what is the difference in AUC metric between the number of noise features K=10 and K=50?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--25--10084
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Dataset,Model,Metric,the number of noise features K,__,__,__,__
1,__,__,__,10,25,50,75,100
2,Avazu,DNN,AUC Log Loss,0.8006,0.8006,0.8005,0.8006,0.8007
3,__,__,__,0.3674,0.3675,0.3674,0.3674,0.3673
4,__,DCNv2,AUC Log Loss,0.8029,0.8029,0.8027,0.8027,0.8027
5,__,__,__,0.3661,0.3661,0.3661,0.3662,0.3661
6,__,DeepFM,AUC Log Loss,0.7998,0.7998,0.7999,0.7998,0.7999
7,__,__,__,0.3680,0.3680,0.3678,0.3680,0.3680
8,Criteo,DNN,AUC Log Loss,0.8145,0.8145,0.8146,0.8146,0.8147
9,__,__,__,0.4374,0.4373,0.4372,0.4372,0.4372
10,__,DCNv2,AUC Log Loss,0.8163,0.8164,0.8164,0.8165,0.8165 0.4355
11,__,__,__,0.4357,0.4356,0.4356,0.4355,__
12,__,DeepFM,AUC Log Loss,0.8125,0.8126,0.8127,0.8126,0.8126
13,__,__,__,0.4392,0.4392,0.4390,0.4393,0.4392
|
<table id="0-1">
<tr><td rowspan="2">Dataset</td><td rowspan="2">Model</td><td rowspan="2">Metric</td><td colspan="5">the number of noise features K</td></tr>
<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>
<tr><td rowspan="6">Avazu</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>
<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>
<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>
<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>
<tr><td rowspan="6">Criteo</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>
<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>
<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>
<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>
</table>
|
| Dataset | Model | Metric | the number of noise features K | | | | |
|---|---|---|---|---|---|---|---|
| | | | 10 | 25 | 50 | 75 | 100 |
| Avazu | DNN | AUC | 0.8006 | 0.8006 | 0.8005 | 0.8006 | 0.8007 |
| | | Log Loss | 0.3674 | 0.3675 | 0.3674 | 0.3674 | 0.3673 |
| | DCNv2 | AUC | 0.8029 | 0.8029 | 0.8027 | 0.8027 | 0.8027 |
| | | Log Loss | 0.3661 | 0.3661 | 0.3661 | 0.3662 | 0.3661 |
| | DeepFM | AUC | 0.7998 | 0.7998 | 0.7999 | 0.7998 | 0.7999 |
| | | Log Loss | 0.3680 | 0.3680 | 0.3678 | 0.3680 | 0.3680 |
| Criteo | DNN | AUC | 0.8145 | 0.8145 | 0.8146 | 0.8146 | 0.8147 |
| | | Log Loss | 0.4374 | 0.4373 | 0.4372 | 0.4372 | 0.4372 |
| | DCNv2 | AUC | 0.8163 | 0.8164 | 0.8164 | 0.8165 | 0.8165 |
| | | Log Loss | 0.4357 | 0.4356 | 0.4356 | 0.4355 | 0.4355 |
| | DeepFM | AUC | 0.8125 | 0.8126 | 0.8127 | 0.8126 | 0.8126 |
| | | Log Loss | 0.4392 | 0.4392 | 0.4390 | 0.4393 | 0.4392 |
|
./datasets/realWorld_datasets/tables/images/arxiv_25_10084.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--25--10084--M1
|
Report two highest feature-10 value with its metric and model in Avazu dataset
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "3", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "2"}
|
{DCNv2 | AUC | 0.8029} || {DNN | AUC | 0.8006}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `Report two highest feature-10 value with its metric and model in Avazu dataset` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `Report two highest feature-10 value with its metric and model in Avazu dataset` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--25--10084
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Dataset,Model,Metric,the number of noise features K,__,__,__,__
1,__,__,__,10,25,50,75,100
2,Avazu,DNN,AUC Log Loss,0.8006,0.8006,0.8005,0.8006,0.8007
3,__,__,__,0.3674,0.3675,0.3674,0.3674,0.3673
4,__,DCNv2,AUC Log Loss,0.8029,0.8029,0.8027,0.8027,0.8027
5,__,__,__,0.3661,0.3661,0.3661,0.3662,0.3661
6,__,DeepFM,AUC Log Loss,0.7998,0.7998,0.7999,0.7998,0.7999
7,__,__,__,0.3680,0.3680,0.3678,0.3680,0.3680
8,Criteo,DNN,AUC Log Loss,0.8145,0.8145,0.8146,0.8146,0.8147
9,__,__,__,0.4374,0.4373,0.4372,0.4372,0.4372
10,__,DCNv2,AUC Log Loss,0.8163,0.8164,0.8164,0.8165,0.8165 0.4355
11,__,__,__,0.4357,0.4356,0.4356,0.4355,__
12,__,DeepFM,AUC Log Loss,0.8125,0.8126,0.8127,0.8126,0.8126
13,__,__,__,0.4392,0.4392,0.4390,0.4393,0.4392
|
<table id="0-1">
<tr><td rowspan="2">Dataset</td><td rowspan="2">Model</td><td rowspan="2">Metric</td><td colspan="5">the number of noise features K</td></tr>
<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>
<tr><td rowspan="6">Avazu</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>
<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>
<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>
<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>
<tr><td rowspan="6">Criteo</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>
<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>
<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>
<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>
</table>
|
| Dataset | Model | Metric | the number of noise features K | | | | |
|---|---|---|---|---|---|---|---|
| | | | 10 | 25 | 50 | 75 | 100 |
| Avazu | DNN | AUC | 0.8006 | 0.8006 | 0.8005 | 0.8006 | 0.8007 |
| | | Log Loss | 0.3674 | 0.3675 | 0.3674 | 0.3674 | 0.3673 |
| | DCNv2 | AUC | 0.8029 | 0.8029 | 0.8027 | 0.8027 | 0.8027 |
| | | Log Loss | 0.3661 | 0.3661 | 0.3661 | 0.3662 | 0.3661 |
| | DeepFM | AUC | 0.7998 | 0.7998 | 0.7999 | 0.7998 | 0.7999 |
| | | Log Loss | 0.3680 | 0.3680 | 0.3678 | 0.3680 | 0.3680 |
| Criteo | DNN | AUC | 0.8145 | 0.8145 | 0.8146 | 0.8146 | 0.8147 |
| | | Log Loss | 0.4374 | 0.4373 | 0.4372 | 0.4372 | 0.4372 |
| | DCNv2 | AUC | 0.8163 | 0.8164 | 0.8164 | 0.8165 | 0.8165 |
| | | Log Loss | 0.4357 | 0.4356 | 0.4356 | 0.4355 | 0.4355 |
| | DeepFM | AUC | 0.8125 | 0.8126 | 0.8127 | 0.8126 | 0.8126 |
| | | Log Loss | 0.4392 | 0.4392 | 0.4390 | 0.4393 | 0.4392 |
|
./datasets/realWorld_datasets/tables/images/arxiv_25_10084.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--25--10084--M0
|
Report the total number of feature-10 for DNN model in dataset Avazu
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "2", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{1.168}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `Report the total number of feature-10 for DNN model in dataset Avazu` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `Report the total number of feature-10 for DNN model in dataset Avazu` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--25--10084
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Dataset,Model,Metric,the number of noise features K,__,__,__,__
1,__,__,__,10,25,50,75,100
2,Avazu,DNN,AUC Log Loss,0.8006,0.8006,0.8005,0.8006,0.8007
3,__,__,__,0.3674,0.3675,0.3674,0.3674,0.3673
4,__,DCNv2,AUC Log Loss,0.8029,0.8029,0.8027,0.8027,0.8027
5,__,__,__,0.3661,0.3661,0.3661,0.3662,0.3661
6,__,DeepFM,AUC Log Loss,0.7998,0.7998,0.7999,0.7998,0.7999
7,__,__,__,0.3680,0.3680,0.3678,0.3680,0.3680
8,Criteo,DNN,AUC Log Loss,0.8145,0.8145,0.8146,0.8146,0.8147
9,__,__,__,0.4374,0.4373,0.4372,0.4372,0.4372
10,__,DCNv2,AUC Log Loss,0.8163,0.8164,0.8164,0.8165,0.8165 0.4355
11,__,__,__,0.4357,0.4356,0.4356,0.4355,__
12,__,DeepFM,AUC Log Loss,0.8125,0.8126,0.8127,0.8126,0.8126
13,__,__,__,0.4392,0.4392,0.4390,0.4393,0.4392
|
<table id="0-1">
<tr><td rowspan="2">Dataset</td><td rowspan="2">Model</td><td rowspan="2">Metric</td><td colspan="5">the number of noise features K</td></tr>
<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>
<tr><td rowspan="6">Avazu</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>
<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>
<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>
<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>
<tr><td rowspan="6">Criteo</td><td rowspan="2">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>
<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>
<tr><td rowspan="2">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>
<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>
<tr><td rowspan="2">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>
<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>
</table>
|
| Dataset | Model | Metric | the number of noise features K | | | | |
|---|---|---|---|---|---|---|---|
| | | | 10 | 25 | 50 | 75 | 100 |
| Avazu | DNN | AUC | 0.8006 | 0.8006 | 0.8005 | 0.8006 | 0.8007 |
| | | Log Loss | 0.3674 | 0.3675 | 0.3674 | 0.3674 | 0.3673 |
| | DCNv2 | AUC | 0.8029 | 0.8029 | 0.8027 | 0.8027 | 0.8027 |
| | | Log Loss | 0.3661 | 0.3661 | 0.3661 | 0.3662 | 0.3661 |
| | DeepFM | AUC | 0.7998 | 0.7998 | 0.7999 | 0.7998 | 0.7999 |
| | | Log Loss | 0.3680 | 0.3680 | 0.3678 | 0.3680 | 0.3680 |
| Criteo | DNN | AUC | 0.8145 | 0.8145 | 0.8146 | 0.8146 | 0.8147 |
| | | Log Loss | 0.4374 | 0.4373 | 0.4372 | 0.4372 | 0.4372 |
| | DCNv2 | AUC | 0.8163 | 0.8164 | 0.8164 | 0.8165 | 0.8165 |
| | | Log Loss | 0.4357 | 0.4356 | 0.4356 | 0.4355 | 0.4355 |
| | DeepFM | AUC | 0.8125 | 0.8126 | 0.8127 | 0.8126 | 0.8126 |
| | | Log Loss | 0.4392 | 0.4392 | 0.4390 | 0.4393 | 0.4392 |
|
./datasets/realWorld_datasets/tables/images/arxiv_25_10084.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--25--10084--A1
|
For the Avazu dataset models where the AUC is greater than 0.8, what is the difference between the AUC values for noise features K=25 and K=75?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{0} || {0.0002}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `For the Avazu dataset models where the AUC is greater than 0.8, what is the difference between the AUC values for noise features K=25 and K=75?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Dataset</td><td rowspan=\"2\">Model</td><td rowspan=\"2\">Metric</td><td colspan=\"5\">the number of noise features K</td></tr>\n<tr><td>10</td><td>25</td><td>50</td><td>75</td><td>100</td></tr>\n<tr><td rowspan=\"6\">Avazu</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8006</td><td>0.8006</td><td>0.8005</td><td>0.8006</td><td>0.8007</td></tr>\n<tr><td>Log Loss</td><td>0.3674</td><td>0.3675</td><td>0.3674</td><td>0.3674</td><td>0.3673</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8029</td><td>0.8029</td><td>0.8027</td><td>0.8027</td><td>0.8027</td></tr>\n<tr><td>Log Loss</td><td>0.3661</td><td>0.3661</td><td>0.3661</td><td>0.3662</td><td>0.3661</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.7998</td><td>0.7998</td><td>0.7999</td><td>0.7998</td><td>0.7999</td></tr>\n<tr><td>Log Loss</td><td>0.3680</td><td>0.3680</td><td>0.3678</td><td>0.3680</td><td>0.3680</td></tr>\n<tr><td rowspan=\"6\">Criteo</td><td rowspan=\"2\">DNN</td><td>AUC</td><td>0.8145</td><td>0.8145</td><td>0.8146</td><td>0.8146</td><td>0.8147</td></tr>\n<tr><td>Log Loss</td><td>0.4374</td><td>0.4373</td><td>0.4372</td><td>0.4372</td><td>0.4372</td></tr>\n<tr><td rowspan=\"2\">DCNv2</td><td>AUC</td><td>0.8163</td><td>0.8164</td><td>0.8164</td><td>0.8165</td><td>0.8165</td></tr>\n<tr><td>Log Loss</td><td>0.4357</td><td>0.4356</td><td>0.4356</td><td>0.4355</td><td>0.4355</td></tr>\n<tr><td rowspan=\"2\">DeepFM</td><td>AUC</td><td>0.8125</td><td>0.8126</td><td>0.8127</td><td>0.8126</td><td>0.8126</td></tr>\n<tr><td>Log Loss</td><td>0.4392</td><td>0.4392</td><td>0.4390</td><td>0.4393</td><td>0.4392</td></tr>\n</table>` \n\nQuestion: `For the Avazu dataset models where the AUC is greater than 0.8, what is the difference between the AUC values for noise features K=25 and K=75?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--A1
|
What are the total number of employees and establishments for 'Electricity, Gas, Steam and Water Supply' and 'Sewerage' main economic activities?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{4426 | 8 } || {672 | 12}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What are the total number of employees and establishments for 'Electricity, Gas, Steam and Water Supply' and 'Sewerage' main economic activities?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What are the total number of employees and establishments for 'Electricity, Gas, Steam and Water Supply' and 'Sewerage' main economic activities?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--A0
|
What is the sum of the 'Total Emp.' column for all the listed economic activities?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{10732}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What is the sum of the 'Total Emp.' column for all the listed economic activities?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What is the sum of the 'Total Emp.' column for all the listed economic activities?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--A3
|
What are the Main Economic Activities for establishments with more than 5 employees?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Electricity, Gas, Steam and Water Supply} || {Sewerage} || {Waste collection, treatment and disposal activities; materials recovery} || {Treatment and disposal of non-hazardous waste} || [Materials recovery} || {Remediation activities and other waste management services}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What are the Main Economic Activities for establishments with more than 5 employees?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What are the Main Economic Activities for establishments with more than 5 employees?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--M1
|
For the Materials recovery Activity, report the Total number of Estb. for both Establishments with 10+ and Establishments with < 10
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": true, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{8}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `For the Materials recovery Activity, report the Total number of Estb. for both Establishments with 10+ and Establishments with < 10` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `For the Materials recovery Activity, report the Total number of Estb. for both Establishments with 10+ and Establishments with < 10` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--A4
|
What is the average number of employees for the economic activities "Sewerage" and "Materials recovery"?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{419}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What is the average number of employees for the economic activities \"Sewerage\" and \"Materials recovery\"?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What is the average number of employees for the economic activities \"Sewerage\" and \"Materials recovery\"?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--M0
|
Report the number of Estb. under Establishments with 10+ for the Activity of Water supply; sewerage, waste management and remediation
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{41}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `Report the number of Estb. under Establishments with 10+ for the Activity of Water supply; sewerage, waste management and remediation` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `Report the number of Estb. under Establishments with 10+ for the Activity of Water supply; sewerage, waste management and remediation` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--A2
|
What are the Main Economic Activities and their corresponding Total Employees for activities with more than 5 Establishments?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Electricity, Gas, Steam and Water Supply | 4426} || {Water supply; sewerage, waste management and remediation activities | 2391} || {Sewerage | 672} || {Waste collection, treatment and disposal activities; materials recovery | 1494} || {Treatment and disposal of non-hazardous waste | 554} || {Materials recovery | 166} || {Remediation activities and other waste management services | 225}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What are the Main Economic Activities and their corresponding Total Employees for activities with more than 5 Establishments?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What are the Main Economic Activities and their corresponding Total Employees for activities with more than 5 Establishments?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--1--156
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Activity Code,Main Economic Activity,Total,__,Establishments with 10+,__,Establishments with <10,__
1,__,__,Emp.,Estb.,Emp.,Estb.,Emp.,Estb.
2,D,"ELECTRICITY, GAS, AND WATER SUPPLY",4426,8,4426,8,0,0
3,35,"Electricity, Gas, Steam and Water Supply",4426,8,4426,8,0,0
4,E,"Water supply; sewerage, waste management and remediation activities",2391,41,2391,41,0,0
5,37,Sewerage,672,12,672,12,0,0
6,3700,Sewerage,672,12,672,12,0,0
7,38,"Waste collection, treatment and disposal activities; materials recovery",1494,21,1494,21,0,0
8,3811,Collection of non-hazardous waste,503,5,503,5,0,0
9,3821,Treatment and disposal of non-hazardous waste,554,6,554,6,0,0
10,3822,Treatment and disposal of hazardous waste,271,2,271,2,0,0
11,3830,Materials recovery,166,8,166,8,0,0
12,39,Remediation activities and other waste management services,225,8,225,8,0,0
13,3900,Remediation activities and other waste management services,225,8,225,8,0,0
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Total</td><td colspan="2">Establishments with 10+</td><td colspan="2">Establishments with <10 Employees</td></tr>
<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>
<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>
<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Total | | Establishments with 10+ | | Establishments with <10 Employees | |
|---|---|---|---|---|---|---|---|
| | | Emp. | Estb. | Emp. | Estb. | Emp. | Estb. |
| D | ELECTRICITY, GAS, AND WATER SUPPLY | 4426 | 8 | 4426 | 8 | 0 | 0 |
| 35 | Electricity, Gas, Steam and Water Supply | 4426 | 8 | 4426 | 8 | 0 | 0 |
| E | Water supply; sewerage, waste management and remediation activities | 2391 | 41 | 2391 | 41 | 0 | 0 |
| 37 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 3700 | Sewerage | 672 | 12 | 672 | 12 | 0 | 0 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 1494 | 21 | 1494 | 21 | 0 | 0 |
| 3811 | Collection of non-hazardous waste | 503 | 5 | 503 | 5 | 0 | 0 |
| 3821 | Treatment and disposal of non-hazardous waste | 554 | 6 | 554 | 6 | 0 | 0 |
| 3822 | Treatment and disposal of hazardous waste | 271 | 2 | 271 | 2 | 0 | 0 |
| 3830 | Materials recovery | 166 | 8 | 166 | 8 | 0 | 0 |
| 39 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
| 3900 | Remediation activities and other waste management services | 225 | 8 | 225 | 8 | 0 | 0 |
|
./datasets/realWorld_datasets/tables/images/psa_1_156.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": false, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--1--156--A5
|
What is the difference in the number of employees between the 'Electricity, Gas, Steam and Water Supply' and 'Sewerage' sectors?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{3754}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of employees between the 'Electricity, Gas, Steam and Water Supply' and 'Sewerage' sectors?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Total</td><td colspan=\"2\">Establishments with 10+</td><td colspan=\"2\">Establishments with <10 Employees</td></tr>\n<tr><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td><td>Emp.</td><td>Estb.</td></tr>\n<tr><td>D</td><td>ELECTRICITY, GAS, AND WATER SUPPLY</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>35</td><td>Electricity, Gas, Steam and Water Supply</td><td>4426</td><td>8</td><td>4426</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>2391</td><td>41</td><td>2391</td><td>41</td><td>0</td><td>0</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>672</td><td>12</td><td>672</td><td>12</td><td>0</td><td>0</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>1494</td><td>21</td><td>1494</td><td>21</td><td>0</td><td>0</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>503</td><td>5</td><td>503</td><td>5</td><td>0</td><td>0</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>554</td><td>6</td><td>554</td><td>6</td><td>0</td><td>0</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>271</td><td>2</td><td>271</td><td>2</td><td>0</td><td>0</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>166</td><td>8</td><td>166</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>225</td><td>8</td><td>225</td><td>8</td><td>0</td><td>0</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of employees between the 'Electricity, Gas, Steam and Water Supply' and 'Sewerage' sectors?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--17--1537
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Baselines Fine-tuned Models,__,__,__,__,__,__
1,Tasks,FastText,BERT non-tuned,Simple Classification,"BERT
a-b","Single Layer
a-b","BERT
a-c"
2,SimLex-999,0.44,0.17,0.21,0.331,0.341,0.191
3,MEN,0.81,0.27,0.27,0.311,0.281,0.331
4,WS535,0.69,0.27,0.27,0.27->,0.261,0.27->
|
<table id="0-1">
<tr><td></td><td colspan="2">Baselines</td><td colspan="4">Fine-tuned Models</td></tr>
<tr><td>Tasks</td><td>FastText</td><td>BERT non-tuned</td><td>Simple Classification</td><td>BERT a-b</td><td>Single Layer a-b</td><td>BERT a-c</td></tr>
<tr><td>SimLex-999</td><td>0.44</td><td>0.17</td><td>0.21</td><td>0.33↑</td><td>0.34↑</td><td>0.19↑</td></tr>
<tr><td>MEN</td><td>0.81</td><td>0.27</td><td>0.27</td><td>0.31↑</td><td>0.28↑</td><td>0.33↑</td></tr>
<tr><td>WS535</td><td>0.69</td><td>0.27</td><td>0.27</td><td>0.27→</td><td>0.26↓</td><td>0.27→</td></tr>
</table>
|
| | Baselines | | Fine-tuned Models | | | |
|---|---|---|---|---|---|---|
| Tasks | FastText | BERT non-tuned | Simple Classification | BERT a-b | Single Layer a-b | BERT a-c |
| SimLex-999 | 0.44 | 0.17 | 0.21 | 0.33↑ | 0.34↑ | 0.19↑ |
| MEN | 0.81 | 0.27 | 0.27 | 0.31↑ | 0.28↑ | 0.33↑ |
| WS535 | 0.69 | 0.27 | 0.27 | 0.27→ | 0.26↓ | 0.27→ |
|
./datasets/realWorld_datasets/tables/images/arxiv_17_1537.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--17--1537--M0
|
Report the FastText result fo MEN
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.81}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td></td><td colspan=\"2\">Baselines</td><td colspan=\"4\">Fine-tuned Models</td></tr>\n<tr><td>Tasks</td><td>FastText</td><td>BERT non-tuned</td><td>Simple Classification</td><td>BERT a-b</td><td>Single Layer a-b</td><td>BERT a-c</td></tr>\n<tr><td>SimLex-999</td><td>0.44</td><td>0.17</td><td>0.21</td><td>0.33\u2191</td><td>0.34\u2191</td><td>0.19\u2191</td></tr>\n<tr><td>MEN</td><td>0.81</td><td>0.27</td><td>0.27</td><td>0.31\u2191</td><td>0.28\u2191</td><td>0.33\u2191</td></tr>\n<tr><td>WS535</td><td>0.69</td><td>0.27</td><td>0.27</td><td>0.27\u2192</td><td>0.26\u2193</td><td>0.27\u2192</td></tr>\n</table>` \n\nQuestion: `Report the FastText result fo MEN` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td></td><td colspan=\"2\">Baselines</td><td colspan=\"4\">Fine-tuned Models</td></tr>\n<tr><td>Tasks</td><td>FastText</td><td>BERT non-tuned</td><td>Simple Classification</td><td>BERT a-b</td><td>Single Layer a-b</td><td>BERT a-c</td></tr>\n<tr><td>SimLex-999</td><td>0.44</td><td>0.17</td><td>0.21</td><td>0.33\u2191</td><td>0.34\u2191</td><td>0.19\u2191</td></tr>\n<tr><td>MEN</td><td>0.81</td><td>0.27</td><td>0.27</td><td>0.31\u2191</td><td>0.28\u2191</td><td>0.33\u2191</td></tr>\n<tr><td>WS535</td><td>0.69</td><td>0.27</td><td>0.27</td><td>0.27\u2192</td><td>0.26\u2193</td><td>0.27\u2192</td></tr>\n</table>` \n\nQuestion: `Report the FastText result fo MEN` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--9--3551
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Mode,Main Model,Ref. Model,MultiNLI,WANLI,AdversarialNLI,__,__
1,__,__,__,__,__,R1,R2,R3
2,ERM,DeBERTa V3Small,,87.57,61.61,33.55,30.63,32.40
3,ERM,DeBERTa V3Base,,90.00,64.61,43.55,33.23,34.14
4,ERM,DeBERTa V3Large,,91.06,66.46,58.17,45.57,41.34
5,DM,DeBERTa V3Large,Random,90.74,65.31,53.30,42.02,38.60
6,DM,DeBERTa V3Large,DeBERTaV3Large,90.75,66.33,59.75,45.60,41.94
7,Across different model sizes,__,__,__,__,__,__,__
8,DM,DeBERTa V3Large,DeBERTa V3Small,90.51,66.80,59.60,45.62,42.04
9,DM,DeBERTa V3Large,DeBERTaV3Base,90.74,66.61,61.42,46.73,41.58
10,,Across different pretraining methods,__,__,__,__,__,__
11,DM,DeBERTa V3Large,ELECTRASmall,90.91,62.09,49.62,38.5,35.98
12,DM,DeBERTa V3Large,ELECTRABase,90.63,66.58,59.77,46.25,42.29
13,DM,DeBERTa V3Large,ELECTRA Large,90.80,66.42,58.95,44.57,41.52
|
<table id="0-1">
<tr><td>Mode</td><td>Main Model</td><td>Ref. Model</td><td>MultiNLI</td><td>WANLI</td><td colspan="3">AdversarialNLI</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>R1</td><td>R2</td><td>R3</td></tr>
<tr><td>ERM</td><td>DeBERTaV3Small</td><td></td><td>87.57</td><td>61.61</td><td>33.55</td><td>30.63</td><td>32.40</td></tr>
<tr><td>ERM</td><td>DeBERTaV3Base</td><td></td><td>90.00</td><td>64.61</td><td>43.55</td><td>33.23</td><td>34.14</td></tr>
<tr><td>ERM</td><td>DeBERTaV3Large</td><td></td><td>91.06</td><td>66.46</td><td>58.17</td><td>45.57</td><td>41.34</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>Random</td><td>90.74</td><td>65.31</td><td>53.30</td><td>42.02</td><td>38.60</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Large</td><td>90.75</td><td>66.33</td><td>59.75</td><td>45.60</td><td>41.94</td></tr>
<tr><td colspan="8">Across different model sizes</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTAV3Small</td><td>90.51</td><td>66.80</td><td>59.60</td><td>45.62</td><td>42.04</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Base</td><td>90.74</td><td>66.61</td><td>61.42</td><td>46.73</td><td>41.58</td></tr>
<tr><td colspan="8">Across different pretraining methods</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRASmall</td><td>90.91</td><td>62.09</td><td>49.62</td><td>38.5</td><td>35.98</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRABase</td><td>90.63</td><td>66.58</td><td>59.77</td><td>46.25</td><td>42.29</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRALarge</td><td>90.80</td><td>66.42</td><td>58.95</td><td>44.57</td><td>41.52</td></tr>
</table>
|
| Mode | Main Model | Ref. Model | MultiNLI | WANLI | AdversarialNLI | | |
|---|---|---|---|---|---|---|---|
| | | | | | R1 | R2 | R3 |
| ERM | DeBERTaV3Small | | 87.57 | 61.61 | 33.55 | 30.63 | 32.40 |
| ERM | DeBERTaV3Base | | 90.00 | 64.61 | 43.55 | 33.23 | 34.14 |
| ERM | DeBERTaV3Large | | 91.06 | 66.46 | 58.17 | 45.57 | 41.34 |
| DM | DeBERTaV3Large | Random | 90.74 | 65.31 | 53.30 | 42.02 | 38.60 |
| DM | DeBERTaV3Large | DeBERTaV3Large | 90.75 | 66.33 | 59.75 | 45.60 | 41.94 |
| Across different model sizes | | | | | | | |
| DM | DeBERTaV3Large | DeBERTAV3Small | 90.51 | 66.80 | 59.60 | 45.62 | 42.04 |
| DM | DeBERTaV3Large | DeBERTaV3Base | 90.74 | 66.61 | 61.42 | 46.73 | 41.58 |
| Across different pretraining methods | | | | | | | |
| DM | DeBERTaV3Large | ELECTRASmall | 90.91 | 62.09 | 49.62 | 38.5 | 35.98 |
| DM | DeBERTaV3Large | ELECTRABase | 90.63 | 66.58 | 59.77 | 46.25 | 42.29 |
| DM | DeBERTaV3Large | ELECTRALarge | 90.80 | 66.42 | 58.95 | 44.57 | 41.52 |
|
./datasets/realWorld_datasets/tables/images/arxiv_9_3551.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
arxiv--9--3551--M1
|
What are the values of multiNLI greaterr than 90.5
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{91.06} || {90.74} || {90.75} || {90.51} || {90.74} || {90.91} || {90.63} || {90.80}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Mode</td><td>Main Model</td><td>Ref. Model</td><td>MultiNLI</td><td>WANLI</td><td colspan=\"3\">AdversarialNLI</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>R1</td><td>R2</td><td>R3</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Small</td><td></td><td>87.57</td><td>61.61</td><td>33.55</td><td>30.63</td><td>32.40</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Base</td><td></td><td>90.00</td><td>64.61</td><td>43.55</td><td>33.23</td><td>34.14</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Large</td><td></td><td>91.06</td><td>66.46</td><td>58.17</td><td>45.57</td><td>41.34</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>Random</td><td>90.74</td><td>65.31</td><td>53.30</td><td>42.02</td><td>38.60</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Large</td><td>90.75</td><td>66.33</td><td>59.75</td><td>45.60</td><td>41.94</td></tr>\n<tr><td colspan=\"8\">Across different model sizes</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTAV3Small</td><td>90.51</td><td>66.80</td><td>59.60</td><td>45.62</td><td>42.04</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Base</td><td>90.74</td><td>66.61</td><td>61.42</td><td>46.73</td><td>41.58</td></tr>\n<tr><td colspan=\"8\">Across different pretraining methods</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRASmall</td><td>90.91</td><td>62.09</td><td>49.62</td><td>38.5</td><td>35.98</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRABase</td><td>90.63</td><td>66.58</td><td>59.77</td><td>46.25</td><td>42.29</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRALarge</td><td>90.80</td><td>66.42</td><td>58.95</td><td>44.57</td><td>41.52</td></tr>\n</table>` \n\nQuestion: `What are the values of multiNLI greaterr than 90.5` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Mode</td><td>Main Model</td><td>Ref. Model</td><td>MultiNLI</td><td>WANLI</td><td colspan=\"3\">AdversarialNLI</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>R1</td><td>R2</td><td>R3</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Small</td><td></td><td>87.57</td><td>61.61</td><td>33.55</td><td>30.63</td><td>32.40</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Base</td><td></td><td>90.00</td><td>64.61</td><td>43.55</td><td>33.23</td><td>34.14</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Large</td><td></td><td>91.06</td><td>66.46</td><td>58.17</td><td>45.57</td><td>41.34</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>Random</td><td>90.74</td><td>65.31</td><td>53.30</td><td>42.02</td><td>38.60</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Large</td><td>90.75</td><td>66.33</td><td>59.75</td><td>45.60</td><td>41.94</td></tr>\n<tr><td colspan=\"8\">Across different model sizes</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTAV3Small</td><td>90.51</td><td>66.80</td><td>59.60</td><td>45.62</td><td>42.04</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Base</td><td>90.74</td><td>66.61</td><td>61.42</td><td>46.73</td><td>41.58</td></tr>\n<tr><td colspan=\"8\">Across different pretraining methods</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRASmall</td><td>90.91</td><td>62.09</td><td>49.62</td><td>38.5</td><td>35.98</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRABase</td><td>90.63</td><td>66.58</td><td>59.77</td><td>46.25</td><td>42.29</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRALarge</td><td>90.80</td><td>66.42</td><td>58.95</td><td>44.57</td><td>41.52</td></tr>\n</table>` \n\nQuestion: `What are the values of multiNLI greaterr than 90.5` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--9--3551
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Mode,Main Model,Ref. Model,MultiNLI,WANLI,AdversarialNLI,__,__
1,__,__,__,__,__,R1,R2,R3
2,ERM,DeBERTa V3Small,,87.57,61.61,33.55,30.63,32.40
3,ERM,DeBERTa V3Base,,90.00,64.61,43.55,33.23,34.14
4,ERM,DeBERTa V3Large,,91.06,66.46,58.17,45.57,41.34
5,DM,DeBERTa V3Large,Random,90.74,65.31,53.30,42.02,38.60
6,DM,DeBERTa V3Large,DeBERTaV3Large,90.75,66.33,59.75,45.60,41.94
7,Across different model sizes,__,__,__,__,__,__,__
8,DM,DeBERTa V3Large,DeBERTa V3Small,90.51,66.80,59.60,45.62,42.04
9,DM,DeBERTa V3Large,DeBERTaV3Base,90.74,66.61,61.42,46.73,41.58
10,,Across different pretraining methods,__,__,__,__,__,__
11,DM,DeBERTa V3Large,ELECTRASmall,90.91,62.09,49.62,38.5,35.98
12,DM,DeBERTa V3Large,ELECTRABase,90.63,66.58,59.77,46.25,42.29
13,DM,DeBERTa V3Large,ELECTRA Large,90.80,66.42,58.95,44.57,41.52
|
<table id="0-1">
<tr><td>Mode</td><td>Main Model</td><td>Ref. Model</td><td>MultiNLI</td><td>WANLI</td><td colspan="3">AdversarialNLI</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>R1</td><td>R2</td><td>R3</td></tr>
<tr><td>ERM</td><td>DeBERTaV3Small</td><td></td><td>87.57</td><td>61.61</td><td>33.55</td><td>30.63</td><td>32.40</td></tr>
<tr><td>ERM</td><td>DeBERTaV3Base</td><td></td><td>90.00</td><td>64.61</td><td>43.55</td><td>33.23</td><td>34.14</td></tr>
<tr><td>ERM</td><td>DeBERTaV3Large</td><td></td><td>91.06</td><td>66.46</td><td>58.17</td><td>45.57</td><td>41.34</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>Random</td><td>90.74</td><td>65.31</td><td>53.30</td><td>42.02</td><td>38.60</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Large</td><td>90.75</td><td>66.33</td><td>59.75</td><td>45.60</td><td>41.94</td></tr>
<tr><td colspan="8">Across different model sizes</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTAV3Small</td><td>90.51</td><td>66.80</td><td>59.60</td><td>45.62</td><td>42.04</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Base</td><td>90.74</td><td>66.61</td><td>61.42</td><td>46.73</td><td>41.58</td></tr>
<tr><td colspan="8">Across different pretraining methods</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRASmall</td><td>90.91</td><td>62.09</td><td>49.62</td><td>38.5</td><td>35.98</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRABase</td><td>90.63</td><td>66.58</td><td>59.77</td><td>46.25</td><td>42.29</td></tr>
<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRALarge</td><td>90.80</td><td>66.42</td><td>58.95</td><td>44.57</td><td>41.52</td></tr>
</table>
|
| Mode | Main Model | Ref. Model | MultiNLI | WANLI | AdversarialNLI | | |
|---|---|---|---|---|---|---|---|
| | | | | | R1 | R2 | R3 |
| ERM | DeBERTaV3Small | | 87.57 | 61.61 | 33.55 | 30.63 | 32.40 |
| ERM | DeBERTaV3Base | | 90.00 | 64.61 | 43.55 | 33.23 | 34.14 |
| ERM | DeBERTaV3Large | | 91.06 | 66.46 | 58.17 | 45.57 | 41.34 |
| DM | DeBERTaV3Large | Random | 90.74 | 65.31 | 53.30 | 42.02 | 38.60 |
| DM | DeBERTaV3Large | DeBERTaV3Large | 90.75 | 66.33 | 59.75 | 45.60 | 41.94 |
| Across different model sizes | | | | | | | |
| DM | DeBERTaV3Large | DeBERTAV3Small | 90.51 | 66.80 | 59.60 | 45.62 | 42.04 |
| DM | DeBERTaV3Large | DeBERTaV3Base | 90.74 | 66.61 | 61.42 | 46.73 | 41.58 |
| Across different pretraining methods | | | | | | | |
| DM | DeBERTaV3Large | ELECTRASmall | 90.91 | 62.09 | 49.62 | 38.5 | 35.98 |
| DM | DeBERTaV3Large | ELECTRABase | 90.63 | 66.58 | 59.77 | 46.25 | 42.29 |
| DM | DeBERTaV3Large | ELECTRALarge | 90.80 | 66.42 | 58.95 | 44.57 | 41.52 |
|
./datasets/realWorld_datasets/tables/images/arxiv_9_3551.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": true}
|
arxiv--9--3551--M0
|
What is the AdversarialNLI R2 score for mode DM and Ref. Model is Random?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "2", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{42.02}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Mode</td><td>Main Model</td><td>Ref. Model</td><td>MultiNLI</td><td>WANLI</td><td colspan=\"3\">AdversarialNLI</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>R1</td><td>R2</td><td>R3</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Small</td><td></td><td>87.57</td><td>61.61</td><td>33.55</td><td>30.63</td><td>32.40</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Base</td><td></td><td>90.00</td><td>64.61</td><td>43.55</td><td>33.23</td><td>34.14</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Large</td><td></td><td>91.06</td><td>66.46</td><td>58.17</td><td>45.57</td><td>41.34</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>Random</td><td>90.74</td><td>65.31</td><td>53.30</td><td>42.02</td><td>38.60</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Large</td><td>90.75</td><td>66.33</td><td>59.75</td><td>45.60</td><td>41.94</td></tr>\n<tr><td colspan=\"8\">Across different model sizes</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTAV3Small</td><td>90.51</td><td>66.80</td><td>59.60</td><td>45.62</td><td>42.04</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Base</td><td>90.74</td><td>66.61</td><td>61.42</td><td>46.73</td><td>41.58</td></tr>\n<tr><td colspan=\"8\">Across different pretraining methods</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRASmall</td><td>90.91</td><td>62.09</td><td>49.62</td><td>38.5</td><td>35.98</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRABase</td><td>90.63</td><td>66.58</td><td>59.77</td><td>46.25</td><td>42.29</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRALarge</td><td>90.80</td><td>66.42</td><td>58.95</td><td>44.57</td><td>41.52</td></tr>\n</table>` \n\nQuestion: `What is the AdversarialNLI R2 score for mode DM and Ref. Model is Random?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Mode</td><td>Main Model</td><td>Ref. Model</td><td>MultiNLI</td><td>WANLI</td><td colspan=\"3\">AdversarialNLI</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>R1</td><td>R2</td><td>R3</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Small</td><td></td><td>87.57</td><td>61.61</td><td>33.55</td><td>30.63</td><td>32.40</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Base</td><td></td><td>90.00</td><td>64.61</td><td>43.55</td><td>33.23</td><td>34.14</td></tr>\n<tr><td>ERM</td><td>DeBERTaV3Large</td><td></td><td>91.06</td><td>66.46</td><td>58.17</td><td>45.57</td><td>41.34</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>Random</td><td>90.74</td><td>65.31</td><td>53.30</td><td>42.02</td><td>38.60</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Large</td><td>90.75</td><td>66.33</td><td>59.75</td><td>45.60</td><td>41.94</td></tr>\n<tr><td colspan=\"8\">Across different model sizes</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTAV3Small</td><td>90.51</td><td>66.80</td><td>59.60</td><td>45.62</td><td>42.04</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>DeBERTaV3Base</td><td>90.74</td><td>66.61</td><td>61.42</td><td>46.73</td><td>41.58</td></tr>\n<tr><td colspan=\"8\">Across different pretraining methods</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRASmall</td><td>90.91</td><td>62.09</td><td>49.62</td><td>38.5</td><td>35.98</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRABase</td><td>90.63</td><td>66.58</td><td>59.77</td><td>46.25</td><td>42.29</td></tr>\n<tr><td>DM</td><td>DeBERTaV3Large</td><td>ELECTRALarge</td><td>90.80</td><td>66.42</td><td>58.95</td><td>44.57</td><td>41.52</td></tr>\n</table>` \n\nQuestion: `What is the AdversarialNLI R2 score for mode DM and Ref. Model is Random?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--6--727
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Seq.,Zhang et al. 19,__,Baseline,__,AirIMU,__
1,__,rot,pos,rot,pos,rot,pos
2,MH02,0.250,0.280,0.401,0.034,0.022,0.024
3,MH04,0.370,0.580,0.400,0.053,0.025,0.045
4,V103,0.670,0.530,0.402,0.044,0.033,0.036
5,V202,0.680,0.830,0.418,0.026,0.031,0.025
6,V101,1.620,0.300,0.398,0.028,0.023,0.018
|
<table id="0-1">
<tr><td rowspan="2">Seq.</td><td colspan="2">Zhang et al. [19]</td><td colspan="2">Baseline</td><td colspan="2">AirIMU</td></tr>
<tr><td>rot</td><td>pos</td><td>rot</td><td>pos</td><td>rot</td><td>pos</td></tr>
<tr><td>MH02</td><td>0.250</td><td>0.280</td><td>0.401</td><td>0.034</td><td>0.022</td><td>0.024</td></tr>
<tr><td>MH04</td><td>0.370</td><td>0.580</td><td>0.400</td><td>0.053</td><td>0.025</td><td>0.045</td></tr>
<tr><td>V103</td><td>0.670</td><td>0.530</td><td>0.402</td><td>0.044</td><td>0.033</td><td>0.036</td></tr>
<tr><td>V202</td><td>0.680</td><td>0.830</td><td>0.418</td><td>0.026</td><td>0.031</td><td>0.025</td></tr>
<tr><td>V101</td><td>1.620</td><td>0.300</td><td>0.398</td><td>0.028</td><td>0.023</td><td>0.018</td></tr>
</table>
|
| Seq. | Zhang et al. [19] | | Baseline | | AirIMU | |
|---|---|---|---|---|---|---|
| | rot | pos | rot | pos | rot | pos |
| MH02 | 0.250 | 0.280 | 0.401 | 0.034 | 0.022 | 0.024 |
| MH04 | 0.370 | 0.580 | 0.400 | 0.053 | 0.025 | 0.045 |
| V103 | 0.670 | 0.530 | 0.402 | 0.044 | 0.033 | 0.036 |
| V202 | 0.680 | 0.830 | 0.418 | 0.026 | 0.031 | 0.025 |
| V101 | 1.620 | 0.300 | 0.398 | 0.028 | 0.023 | 0.018 |
|
./datasets/realWorld_datasets/tables/images/arxiv_6_727.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--6--727--M1
|
What is the smallest value for baseline rot?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.398}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Seq.</td><td colspan=\"2\">Zhang et al. [19]</td><td colspan=\"2\">Baseline</td><td colspan=\"2\">AirIMU</td></tr>\n<tr><td>rot</td><td>pos</td><td>rot</td><td>pos</td><td>rot</td><td>pos</td></tr>\n<tr><td>MH02</td><td>0.250</td><td>0.280</td><td>0.401</td><td>0.034</td><td>0.022</td><td>0.024</td></tr>\n<tr><td>MH04</td><td>0.370</td><td>0.580</td><td>0.400</td><td>0.053</td><td>0.025</td><td>0.045</td></tr>\n<tr><td>V103</td><td>0.670</td><td>0.530</td><td>0.402</td><td>0.044</td><td>0.033</td><td>0.036</td></tr>\n<tr><td>V202</td><td>0.680</td><td>0.830</td><td>0.418</td><td>0.026</td><td>0.031</td><td>0.025</td></tr>\n<tr><td>V101</td><td>1.620</td><td>0.300</td><td>0.398</td><td>0.028</td><td>0.023</td><td>0.018</td></tr>\n</table>` \n\nQuestion: `What is the smallest value for baseline rot?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Seq.</td><td colspan=\"2\">Zhang et al. [19]</td><td colspan=\"2\">Baseline</td><td colspan=\"2\">AirIMU</td></tr>\n<tr><td>rot</td><td>pos</td><td>rot</td><td>pos</td><td>rot</td><td>pos</td></tr>\n<tr><td>MH02</td><td>0.250</td><td>0.280</td><td>0.401</td><td>0.034</td><td>0.022</td><td>0.024</td></tr>\n<tr><td>MH04</td><td>0.370</td><td>0.580</td><td>0.400</td><td>0.053</td><td>0.025</td><td>0.045</td></tr>\n<tr><td>V103</td><td>0.670</td><td>0.530</td><td>0.402</td><td>0.044</td><td>0.033</td><td>0.036</td></tr>\n<tr><td>V202</td><td>0.680</td><td>0.830</td><td>0.418</td><td>0.026</td><td>0.031</td><td>0.025</td></tr>\n<tr><td>V101</td><td>1.620</td><td>0.300</td><td>0.398</td><td>0.028</td><td>0.023</td><td>0.018</td></tr>\n</table>` \n\nQuestion: `What is the smallest value for baseline rot?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--6--727
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Seq.,Zhang et al. 19,__,Baseline,__,AirIMU,__
1,__,rot,pos,rot,pos,rot,pos
2,MH02,0.250,0.280,0.401,0.034,0.022,0.024
3,MH04,0.370,0.580,0.400,0.053,0.025,0.045
4,V103,0.670,0.530,0.402,0.044,0.033,0.036
5,V202,0.680,0.830,0.418,0.026,0.031,0.025
6,V101,1.620,0.300,0.398,0.028,0.023,0.018
|
<table id="0-1">
<tr><td rowspan="2">Seq.</td><td colspan="2">Zhang et al. [19]</td><td colspan="2">Baseline</td><td colspan="2">AirIMU</td></tr>
<tr><td>rot</td><td>pos</td><td>rot</td><td>pos</td><td>rot</td><td>pos</td></tr>
<tr><td>MH02</td><td>0.250</td><td>0.280</td><td>0.401</td><td>0.034</td><td>0.022</td><td>0.024</td></tr>
<tr><td>MH04</td><td>0.370</td><td>0.580</td><td>0.400</td><td>0.053</td><td>0.025</td><td>0.045</td></tr>
<tr><td>V103</td><td>0.670</td><td>0.530</td><td>0.402</td><td>0.044</td><td>0.033</td><td>0.036</td></tr>
<tr><td>V202</td><td>0.680</td><td>0.830</td><td>0.418</td><td>0.026</td><td>0.031</td><td>0.025</td></tr>
<tr><td>V101</td><td>1.620</td><td>0.300</td><td>0.398</td><td>0.028</td><td>0.023</td><td>0.018</td></tr>
</table>
|
| Seq. | Zhang et al. [19] | | Baseline | | AirIMU | |
|---|---|---|---|---|---|---|
| | rot | pos | rot | pos | rot | pos |
| MH02 | 0.250 | 0.280 | 0.401 | 0.034 | 0.022 | 0.024 |
| MH04 | 0.370 | 0.580 | 0.400 | 0.053 | 0.025 | 0.045 |
| V103 | 0.670 | 0.530 | 0.402 | 0.044 | 0.033 | 0.036 |
| V202 | 0.680 | 0.830 | 0.418 | 0.026 | 0.031 | 0.025 |
| V101 | 1.620 | 0.300 | 0.398 | 0.028 | 0.023 | 0.018 |
|
./datasets/realWorld_datasets/tables/images/arxiv_6_727.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--6--727--M0
|
What is the largest value for AirIMU pos
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{0.045}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Seq.</td><td colspan=\"2\">Zhang et al. [19]</td><td colspan=\"2\">Baseline</td><td colspan=\"2\">AirIMU</td></tr>\n<tr><td>rot</td><td>pos</td><td>rot</td><td>pos</td><td>rot</td><td>pos</td></tr>\n<tr><td>MH02</td><td>0.250</td><td>0.280</td><td>0.401</td><td>0.034</td><td>0.022</td><td>0.024</td></tr>\n<tr><td>MH04</td><td>0.370</td><td>0.580</td><td>0.400</td><td>0.053</td><td>0.025</td><td>0.045</td></tr>\n<tr><td>V103</td><td>0.670</td><td>0.530</td><td>0.402</td><td>0.044</td><td>0.033</td><td>0.036</td></tr>\n<tr><td>V202</td><td>0.680</td><td>0.830</td><td>0.418</td><td>0.026</td><td>0.031</td><td>0.025</td></tr>\n<tr><td>V101</td><td>1.620</td><td>0.300</td><td>0.398</td><td>0.028</td><td>0.023</td><td>0.018</td></tr>\n</table>` \n\nQuestion: `What is the largest value for AirIMU pos` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Seq.</td><td colspan=\"2\">Zhang et al. [19]</td><td colspan=\"2\">Baseline</td><td colspan=\"2\">AirIMU</td></tr>\n<tr><td>rot</td><td>pos</td><td>rot</td><td>pos</td><td>rot</td><td>pos</td></tr>\n<tr><td>MH02</td><td>0.250</td><td>0.280</td><td>0.401</td><td>0.034</td><td>0.022</td><td>0.024</td></tr>\n<tr><td>MH04</td><td>0.370</td><td>0.580</td><td>0.400</td><td>0.053</td><td>0.025</td><td>0.045</td></tr>\n<tr><td>V103</td><td>0.670</td><td>0.530</td><td>0.402</td><td>0.044</td><td>0.033</td><td>0.036</td></tr>\n<tr><td>V202</td><td>0.680</td><td>0.830</td><td>0.418</td><td>0.026</td><td>0.031</td><td>0.025</td></tr>\n<tr><td>V101</td><td>1.620</td><td>0.300</td><td>0.398</td><td>0.028</td><td>0.023</td><td>0.018</td></tr>\n</table>` \n\nQuestion: `What is the largest value for AirIMU pos` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--9--6026
|
realWorldHCTs
|
,0,1,2,3
0,Oracle,Model,Avg SAJ,Diversity Top100 +
1,Albuterol Similarity,reinvent,3.177,0.394
2,,reinvent trans,3.173,0.408
3,Amlodipine MPO,reinvent,3.478,0.391
4,,reinvent trans,3.888,0.311
5,Celecoxib Rediscovery,reinvent,3.458,0.551
6,,reinvent trans,3.245,0.357
7,DRD2,reinvent,2.788,0.868
8,,reinvent trans,2.914,0.464
9,Deco Hop,reinvent,3.458,0.551
10,,reinvent trans,3.240,0.457
11,Fexofenadine MPO,reinvent,4.163,0.325
12,,reinvent trans,4.113,0.411
13,GSK3B,reinvent,3.146,0.884
14,,reinvent trans,3.146,0.884
15,Isomers C7H8N202,reinvent,4.273,0.712
16,,reinvent trans,2.589,0.796
17,Isomers C9H10N2O2PF2Cl,reinvent,3.261,0.585
18,,reinvent trans,3.245,0.686
19,Median 1,reinvent,4.571,0.408
20,,reinvent trans,3.532,0.371
21,Median 2,reinvent,2.772,0.411
22,,reinvent trans,2.877,0.389
23,Mestranol Similarity,reinvent,3.799,0.267
24,,reinvent trans,4.394,0.434
25,Osimertinib MPO,reinvent,3.174,0.504
26,,reinvent trans,3.799,0.447
27,Perindopril MPO,reinvent,3.819,0.479
28,,reinvent trans,3.766,0.357
29,QED,reinvent,1.883,0.573
30,,reinvent trans,3.422,0.540
31,Ranolazine MPO,reinvent,3.468,0.421
32,,reinvent trans,2.727,0.434
33,Scaffold Hop,reinvent,2.857,0.555
34,,reinvent trans,4.355,0.382
35,Sitagliptin MPO,reinvent,2.639,0.692
36,,reinvent trans,5.279,0.391
37,Thiothixene Rediscovery,reinvent,2.899,0.373
38,,reinvent trans,3.275,0.441
39,Troglitazone Rediscovery,reinvent,3.275,0.441
40,,reinvent trans,4.435,0.204
41,Valsartan Smarts,reinvent,3.421,0.874
42,,reinvent trans,3.421,0.874
43,Zaleplon MPO,reinvent,1.991,0.614
44,,reinvent trans,2.465,0.486
|
<table id="0-1">
<tr><td>Oracle</td><td>Model</td><td>Avg SA↓</td><td>Diversity Top100↑</td></tr>
<tr><td>Albuterol Similarity</td><td>reinvent</td><td>3.177</td><td>0.394</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.173</td><td>0.408</td></tr>
<tr><td rowspan="2">Amlodipine MPO</td><td>reinvent</td><td>3.478</td><td>0.391</td></tr>
<tr><td>reinvent trans</td><td>3.888</td><td>0.311</td></tr>
<tr><td>Celecoxib Rediscovery</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.357</td></tr>
<tr><td>DRD2</td><td>reinvent</td><td>2.788</td><td>0.868</td></tr>
<tr><td></td><td>reinvent trans</td><td>2.914</td><td>0.464</td></tr>
<tr><td rowspan="2">Deco Hop</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>
<tr><td>reinvent trans</td><td>3.240</td><td>0.457</td></tr>
<tr><td>Fexofenadine MPO</td><td>reinvent</td><td>4.163</td><td>0.325</td></tr>
<tr><td></td><td>reinvent trans</td><td>4.113</td><td>0.411</td></tr>
<tr><td>GSK3B</td><td>reinvent</td><td>3.146</td><td>0.884</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.146</td><td>0.884</td></tr>
<tr><td rowspan="2">Isomers C7H8N2O2</td><td>reinvent</td><td>4.273</td><td>0.712</td></tr>
<tr><td>reinvent trans</td><td>2.589</td><td>0.796</td></tr>
<tr><td>Isomers C9H10N2O2PF2C1</td><td>reinvent</td><td>3.261</td><td>0.585</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.686</td></tr>
<tr><td rowspan="2">Median 1</td><td>reinvent</td><td>4.571</td><td>0.408</td></tr>
<tr><td>reinvent trans</td><td>3.532</td><td>0.371</td></tr>
<tr><td>Median 2</td><td>reinvent</td><td>2.772</td><td>0.411</td></tr>
<tr><td></td><td>reinvent trans</td><td>2.877</td><td>0.389</td></tr>
<tr><td rowspan="2">Mestranol Similarity</td><td>reinvent</td><td>3.799</td><td>0.267</td></tr>
<tr><td>reinvent trans</td><td>4.394</td><td>0.434</td></tr>
<tr><td rowspan="2">Osimertinib MPO</td><td>reinvent</td><td>3.174</td><td>0.504</td></tr>
<tr><td>reinvent trans</td><td>3.799</td><td>0.447</td></tr>
<tr><td rowspan="2">Perindopril MPO</td><td>reinvent</td><td>3.819</td><td>0.479</td></tr>
<tr><td>reinvent trans</td><td>3.766</td><td>0.357</td></tr>
<tr><td>QED</td><td>reinvent</td><td>1.883</td><td>0.573</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.422</td><td>0.540</td></tr>
<tr><td rowspan="2">Ranolazine MPO</td><td>reinvent</td><td>3.468</td><td>0.421</td></tr>
<tr><td>reinvent trans</td><td>2.727</td><td>0.434</td></tr>
<tr><td>Scaffold Hop</td><td>reinvent</td><td>2.857</td><td>0.555</td></tr>
<tr><td></td><td>reinvent trans</td><td>4.355</td><td>0.382</td></tr>
<tr><td rowspan="2">Sitagliptin MPO</td><td>reinvent</td><td>2.639</td><td>0.692</td></tr>
<tr><td>reinvent trans</td><td>5.279</td><td>0.391</td></tr>
<tr><td rowspan="2">Thiothixene Rediscovery</td><td>reinvent</td><td>2.899</td><td>0.373</td></tr>
<tr><td>reinvent trans</td><td>3.275</td><td>0.441</td></tr>
<tr><td rowspan="2">Troglitazone Rediscovery</td><td>reinvent</td><td>3.275</td><td>0.441</td></tr>
<tr><td>reinvent trans</td><td>4.435</td><td>0.204</td></tr>
<tr><td rowspan="2">Valsartan Smarts</td><td>reinvent</td><td>3.421</td><td>0.874</td></tr>
<tr><td>reinvent trans</td><td>3.421</td><td>0.874</td></tr>
<tr><td>Zaleplon MPO</td><td>reinvent</td><td>1.991</td><td>0.614</td></tr>
<tr><td></td><td>reinvent trans</td><td>2.465</td><td>0.486</td></tr>
</table>
|
| Oracle | Model | Avg SA↓ | Diversity Top100↑ |
|---|---|---|---|
| Albuterol Similarity | reinvent | 3.177 | 0.394 |
| | reinvent trans | 3.173 | 0.408 |
| Amlodipine MPO | reinvent | 3.478 | 0.391 |
| | reinvent trans | 3.888 | 0.311 |
| Celecoxib Rediscovery | reinvent | 3.458 | 0.551 |
| | reinvent trans | 3.245 | 0.357 |
| DRD2 | reinvent | 2.788 | 0.868 |
| | reinvent trans | 2.914 | 0.464 |
| Deco Hop | reinvent | 3.458 | 0.551 |
| | reinvent trans | 3.240 | 0.457 |
| Fexofenadine MPO | reinvent | 4.163 | 0.325 |
| | reinvent trans | 4.113 | 0.411 |
| GSK3B | reinvent | 3.146 | 0.884 |
| | reinvent trans | 3.146 | 0.884 |
| Isomers C7H8N2O2 | reinvent | 4.273 | 0.712 |
| | reinvent trans | 2.589 | 0.796 |
| Isomers C9H10N2O2PF2C1 | reinvent | 3.261 | 0.585 |
| | reinvent trans | 3.245 | 0.686 |
| Median 1 | reinvent | 4.571 | 0.408 |
| | reinvent trans | 3.532 | 0.371 |
| Median 2 | reinvent | 2.772 | 0.411 |
| | reinvent trans | 2.877 | 0.389 |
| Mestranol Similarity | reinvent | 3.799 | 0.267 |
| | reinvent trans | 4.394 | 0.434 |
| Osimertinib MPO | reinvent | 3.174 | 0.504 |
| | reinvent trans | 3.799 | 0.447 |
| Perindopril MPO | reinvent | 3.819 | 0.479 |
| | reinvent trans | 3.766 | 0.357 |
| QED | reinvent | 1.883 | 0.573 |
| | reinvent trans | 3.422 | 0.540 |
| Ranolazine MPO | reinvent | 3.468 | 0.421 |
| | reinvent trans | 2.727 | 0.434 |
| Scaffold Hop | reinvent | 2.857 | 0.555 |
| | reinvent trans | 4.355 | 0.382 |
| Sitagliptin MPO | reinvent | 2.639 | 0.692 |
| | reinvent trans | 5.279 | 0.391 |
| Thiothixene Rediscovery | reinvent | 2.899 | 0.373 |
| | reinvent trans | 3.275 | 0.441 |
| Troglitazone Rediscovery | reinvent | 3.275 | 0.441 |
| | reinvent trans | 4.435 | 0.204 |
| Valsartan Smarts | reinvent | 3.421 | 0.874 |
| | reinvent trans | 3.421 | 0.874 |
| Zaleplon MPO | reinvent | 1.991 | 0.614 |
| | reinvent trans | 2.465 | 0.486 |
|
./datasets/realWorld_datasets/tables/images/arxiv_9_6026.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--9--6026--M0
|
What oracles have the top 3 highest diversity top100?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": true, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": true, "Rank Rank On Plain": false, "Rank Rank On Expression": true, "Rank Report Top": "3"}
|
{GSK3B} || {Valsartan Smarts} || {DRD2}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Oracle</td><td>Model</td><td>Avg SA\u2193</td><td>Diversity Top100\u2191</td></tr>\n<tr><td>Albuterol Similarity</td><td>reinvent</td><td>3.177</td><td>0.394</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.173</td><td>0.408</td></tr>\n<tr><td rowspan=\"2\">Amlodipine MPO</td><td>reinvent</td><td>3.478</td><td>0.391</td></tr>\n<tr><td>reinvent trans</td><td>3.888</td><td>0.311</td></tr>\n<tr><td>Celecoxib Rediscovery</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.357</td></tr>\n<tr><td>DRD2</td><td>reinvent</td><td>2.788</td><td>0.868</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.914</td><td>0.464</td></tr>\n<tr><td rowspan=\"2\">Deco Hop</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td>reinvent trans</td><td>3.240</td><td>0.457</td></tr>\n<tr><td>Fexofenadine MPO</td><td>reinvent</td><td>4.163</td><td>0.325</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.113</td><td>0.411</td></tr>\n<tr><td>GSK3B</td><td>reinvent</td><td>3.146</td><td>0.884</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.146</td><td>0.884</td></tr>\n<tr><td rowspan=\"2\">Isomers C7H8N2O2</td><td>reinvent</td><td>4.273</td><td>0.712</td></tr>\n<tr><td>reinvent trans</td><td>2.589</td><td>0.796</td></tr>\n<tr><td>Isomers C9H10N2O2PF2C1</td><td>reinvent</td><td>3.261</td><td>0.585</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.686</td></tr>\n<tr><td rowspan=\"2\">Median 1</td><td>reinvent</td><td>4.571</td><td>0.408</td></tr>\n<tr><td>reinvent trans</td><td>3.532</td><td>0.371</td></tr>\n<tr><td>Median 2</td><td>reinvent</td><td>2.772</td><td>0.411</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.877</td><td>0.389</td></tr>\n<tr><td rowspan=\"2\">Mestranol Similarity</td><td>reinvent</td><td>3.799</td><td>0.267</td></tr>\n<tr><td>reinvent trans</td><td>4.394</td><td>0.434</td></tr>\n<tr><td rowspan=\"2\">Osimertinib MPO</td><td>reinvent</td><td>3.174</td><td>0.504</td></tr>\n<tr><td>reinvent trans</td><td>3.799</td><td>0.447</td></tr>\n<tr><td rowspan=\"2\">Perindopril MPO</td><td>reinvent</td><td>3.819</td><td>0.479</td></tr>\n<tr><td>reinvent trans</td><td>3.766</td><td>0.357</td></tr>\n<tr><td>QED</td><td>reinvent</td><td>1.883</td><td>0.573</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.422</td><td>0.540</td></tr>\n<tr><td rowspan=\"2\">Ranolazine MPO</td><td>reinvent</td><td>3.468</td><td>0.421</td></tr>\n<tr><td>reinvent trans</td><td>2.727</td><td>0.434</td></tr>\n<tr><td>Scaffold Hop</td><td>reinvent</td><td>2.857</td><td>0.555</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.355</td><td>0.382</td></tr>\n<tr><td rowspan=\"2\">Sitagliptin MPO</td><td>reinvent</td><td>2.639</td><td>0.692</td></tr>\n<tr><td>reinvent trans</td><td>5.279</td><td>0.391</td></tr>\n<tr><td rowspan=\"2\">Thiothixene Rediscovery</td><td>reinvent</td><td>2.899</td><td>0.373</td></tr>\n<tr><td>reinvent trans</td><td>3.275</td><td>0.441</td></tr>\n<tr><td rowspan=\"2\">Troglitazone Rediscovery</td><td>reinvent</td><td>3.275</td><td>0.441</td></tr>\n<tr><td>reinvent trans</td><td>4.435</td><td>0.204</td></tr>\n<tr><td rowspan=\"2\">Valsartan Smarts</td><td>reinvent</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>reinvent trans</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>Zaleplon MPO</td><td>reinvent</td><td>1.991</td><td>0.614</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.465</td><td>0.486</td></tr>\n</table>` \n\nQuestion: `What oracles have the top 3 highest diversity top100?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Oracle</td><td>Model</td><td>Avg SA\u2193</td><td>Diversity Top100\u2191</td></tr>\n<tr><td>Albuterol Similarity</td><td>reinvent</td><td>3.177</td><td>0.394</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.173</td><td>0.408</td></tr>\n<tr><td rowspan=\"2\">Amlodipine MPO</td><td>reinvent</td><td>3.478</td><td>0.391</td></tr>\n<tr><td>reinvent trans</td><td>3.888</td><td>0.311</td></tr>\n<tr><td>Celecoxib Rediscovery</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.357</td></tr>\n<tr><td>DRD2</td><td>reinvent</td><td>2.788</td><td>0.868</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.914</td><td>0.464</td></tr>\n<tr><td rowspan=\"2\">Deco Hop</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td>reinvent trans</td><td>3.240</td><td>0.457</td></tr>\n<tr><td>Fexofenadine MPO</td><td>reinvent</td><td>4.163</td><td>0.325</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.113</td><td>0.411</td></tr>\n<tr><td>GSK3B</td><td>reinvent</td><td>3.146</td><td>0.884</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.146</td><td>0.884</td></tr>\n<tr><td rowspan=\"2\">Isomers C7H8N2O2</td><td>reinvent</td><td>4.273</td><td>0.712</td></tr>\n<tr><td>reinvent trans</td><td>2.589</td><td>0.796</td></tr>\n<tr><td>Isomers C9H10N2O2PF2C1</td><td>reinvent</td><td>3.261</td><td>0.585</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.686</td></tr>\n<tr><td rowspan=\"2\">Median 1</td><td>reinvent</td><td>4.571</td><td>0.408</td></tr>\n<tr><td>reinvent trans</td><td>3.532</td><td>0.371</td></tr>\n<tr><td>Median 2</td><td>reinvent</td><td>2.772</td><td>0.411</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.877</td><td>0.389</td></tr>\n<tr><td rowspan=\"2\">Mestranol Similarity</td><td>reinvent</td><td>3.799</td><td>0.267</td></tr>\n<tr><td>reinvent trans</td><td>4.394</td><td>0.434</td></tr>\n<tr><td rowspan=\"2\">Osimertinib MPO</td><td>reinvent</td><td>3.174</td><td>0.504</td></tr>\n<tr><td>reinvent trans</td><td>3.799</td><td>0.447</td></tr>\n<tr><td rowspan=\"2\">Perindopril MPO</td><td>reinvent</td><td>3.819</td><td>0.479</td></tr>\n<tr><td>reinvent trans</td><td>3.766</td><td>0.357</td></tr>\n<tr><td>QED</td><td>reinvent</td><td>1.883</td><td>0.573</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.422</td><td>0.540</td></tr>\n<tr><td rowspan=\"2\">Ranolazine MPO</td><td>reinvent</td><td>3.468</td><td>0.421</td></tr>\n<tr><td>reinvent trans</td><td>2.727</td><td>0.434</td></tr>\n<tr><td>Scaffold Hop</td><td>reinvent</td><td>2.857</td><td>0.555</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.355</td><td>0.382</td></tr>\n<tr><td rowspan=\"2\">Sitagliptin MPO</td><td>reinvent</td><td>2.639</td><td>0.692</td></tr>\n<tr><td>reinvent trans</td><td>5.279</td><td>0.391</td></tr>\n<tr><td rowspan=\"2\">Thiothixene Rediscovery</td><td>reinvent</td><td>2.899</td><td>0.373</td></tr>\n<tr><td>reinvent trans</td><td>3.275</td><td>0.441</td></tr>\n<tr><td rowspan=\"2\">Troglitazone Rediscovery</td><td>reinvent</td><td>3.275</td><td>0.441</td></tr>\n<tr><td>reinvent trans</td><td>4.435</td><td>0.204</td></tr>\n<tr><td rowspan=\"2\">Valsartan Smarts</td><td>reinvent</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>reinvent trans</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>Zaleplon MPO</td><td>reinvent</td><td>1.991</td><td>0.614</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.465</td><td>0.486</td></tr>\n</table>` \n\nQuestion: `What oracles have the top 3 highest diversity top100?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--9--6026
|
realWorldHCTs
|
,0,1,2,3
0,Oracle,Model,Avg SAJ,Diversity Top100 +
1,Albuterol Similarity,reinvent,3.177,0.394
2,,reinvent trans,3.173,0.408
3,Amlodipine MPO,reinvent,3.478,0.391
4,,reinvent trans,3.888,0.311
5,Celecoxib Rediscovery,reinvent,3.458,0.551
6,,reinvent trans,3.245,0.357
7,DRD2,reinvent,2.788,0.868
8,,reinvent trans,2.914,0.464
9,Deco Hop,reinvent,3.458,0.551
10,,reinvent trans,3.240,0.457
11,Fexofenadine MPO,reinvent,4.163,0.325
12,,reinvent trans,4.113,0.411
13,GSK3B,reinvent,3.146,0.884
14,,reinvent trans,3.146,0.884
15,Isomers C7H8N202,reinvent,4.273,0.712
16,,reinvent trans,2.589,0.796
17,Isomers C9H10N2O2PF2Cl,reinvent,3.261,0.585
18,,reinvent trans,3.245,0.686
19,Median 1,reinvent,4.571,0.408
20,,reinvent trans,3.532,0.371
21,Median 2,reinvent,2.772,0.411
22,,reinvent trans,2.877,0.389
23,Mestranol Similarity,reinvent,3.799,0.267
24,,reinvent trans,4.394,0.434
25,Osimertinib MPO,reinvent,3.174,0.504
26,,reinvent trans,3.799,0.447
27,Perindopril MPO,reinvent,3.819,0.479
28,,reinvent trans,3.766,0.357
29,QED,reinvent,1.883,0.573
30,,reinvent trans,3.422,0.540
31,Ranolazine MPO,reinvent,3.468,0.421
32,,reinvent trans,2.727,0.434
33,Scaffold Hop,reinvent,2.857,0.555
34,,reinvent trans,4.355,0.382
35,Sitagliptin MPO,reinvent,2.639,0.692
36,,reinvent trans,5.279,0.391
37,Thiothixene Rediscovery,reinvent,2.899,0.373
38,,reinvent trans,3.275,0.441
39,Troglitazone Rediscovery,reinvent,3.275,0.441
40,,reinvent trans,4.435,0.204
41,Valsartan Smarts,reinvent,3.421,0.874
42,,reinvent trans,3.421,0.874
43,Zaleplon MPO,reinvent,1.991,0.614
44,,reinvent trans,2.465,0.486
|
<table id="0-1">
<tr><td>Oracle</td><td>Model</td><td>Avg SA↓</td><td>Diversity Top100↑</td></tr>
<tr><td>Albuterol Similarity</td><td>reinvent</td><td>3.177</td><td>0.394</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.173</td><td>0.408</td></tr>
<tr><td rowspan="2">Amlodipine MPO</td><td>reinvent</td><td>3.478</td><td>0.391</td></tr>
<tr><td>reinvent trans</td><td>3.888</td><td>0.311</td></tr>
<tr><td>Celecoxib Rediscovery</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.357</td></tr>
<tr><td>DRD2</td><td>reinvent</td><td>2.788</td><td>0.868</td></tr>
<tr><td></td><td>reinvent trans</td><td>2.914</td><td>0.464</td></tr>
<tr><td rowspan="2">Deco Hop</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>
<tr><td>reinvent trans</td><td>3.240</td><td>0.457</td></tr>
<tr><td>Fexofenadine MPO</td><td>reinvent</td><td>4.163</td><td>0.325</td></tr>
<tr><td></td><td>reinvent trans</td><td>4.113</td><td>0.411</td></tr>
<tr><td>GSK3B</td><td>reinvent</td><td>3.146</td><td>0.884</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.146</td><td>0.884</td></tr>
<tr><td rowspan="2">Isomers C7H8N2O2</td><td>reinvent</td><td>4.273</td><td>0.712</td></tr>
<tr><td>reinvent trans</td><td>2.589</td><td>0.796</td></tr>
<tr><td>Isomers C9H10N2O2PF2C1</td><td>reinvent</td><td>3.261</td><td>0.585</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.686</td></tr>
<tr><td rowspan="2">Median 1</td><td>reinvent</td><td>4.571</td><td>0.408</td></tr>
<tr><td>reinvent trans</td><td>3.532</td><td>0.371</td></tr>
<tr><td>Median 2</td><td>reinvent</td><td>2.772</td><td>0.411</td></tr>
<tr><td></td><td>reinvent trans</td><td>2.877</td><td>0.389</td></tr>
<tr><td rowspan="2">Mestranol Similarity</td><td>reinvent</td><td>3.799</td><td>0.267</td></tr>
<tr><td>reinvent trans</td><td>4.394</td><td>0.434</td></tr>
<tr><td rowspan="2">Osimertinib MPO</td><td>reinvent</td><td>3.174</td><td>0.504</td></tr>
<tr><td>reinvent trans</td><td>3.799</td><td>0.447</td></tr>
<tr><td rowspan="2">Perindopril MPO</td><td>reinvent</td><td>3.819</td><td>0.479</td></tr>
<tr><td>reinvent trans</td><td>3.766</td><td>0.357</td></tr>
<tr><td>QED</td><td>reinvent</td><td>1.883</td><td>0.573</td></tr>
<tr><td></td><td>reinvent trans</td><td>3.422</td><td>0.540</td></tr>
<tr><td rowspan="2">Ranolazine MPO</td><td>reinvent</td><td>3.468</td><td>0.421</td></tr>
<tr><td>reinvent trans</td><td>2.727</td><td>0.434</td></tr>
<tr><td>Scaffold Hop</td><td>reinvent</td><td>2.857</td><td>0.555</td></tr>
<tr><td></td><td>reinvent trans</td><td>4.355</td><td>0.382</td></tr>
<tr><td rowspan="2">Sitagliptin MPO</td><td>reinvent</td><td>2.639</td><td>0.692</td></tr>
<tr><td>reinvent trans</td><td>5.279</td><td>0.391</td></tr>
<tr><td rowspan="2">Thiothixene Rediscovery</td><td>reinvent</td><td>2.899</td><td>0.373</td></tr>
<tr><td>reinvent trans</td><td>3.275</td><td>0.441</td></tr>
<tr><td rowspan="2">Troglitazone Rediscovery</td><td>reinvent</td><td>3.275</td><td>0.441</td></tr>
<tr><td>reinvent trans</td><td>4.435</td><td>0.204</td></tr>
<tr><td rowspan="2">Valsartan Smarts</td><td>reinvent</td><td>3.421</td><td>0.874</td></tr>
<tr><td>reinvent trans</td><td>3.421</td><td>0.874</td></tr>
<tr><td>Zaleplon MPO</td><td>reinvent</td><td>1.991</td><td>0.614</td></tr>
<tr><td></td><td>reinvent trans</td><td>2.465</td><td>0.486</td></tr>
</table>
|
| Oracle | Model | Avg SA↓ | Diversity Top100↑ |
|---|---|---|---|
| Albuterol Similarity | reinvent | 3.177 | 0.394 |
| | reinvent trans | 3.173 | 0.408 |
| Amlodipine MPO | reinvent | 3.478 | 0.391 |
| | reinvent trans | 3.888 | 0.311 |
| Celecoxib Rediscovery | reinvent | 3.458 | 0.551 |
| | reinvent trans | 3.245 | 0.357 |
| DRD2 | reinvent | 2.788 | 0.868 |
| | reinvent trans | 2.914 | 0.464 |
| Deco Hop | reinvent | 3.458 | 0.551 |
| | reinvent trans | 3.240 | 0.457 |
| Fexofenadine MPO | reinvent | 4.163 | 0.325 |
| | reinvent trans | 4.113 | 0.411 |
| GSK3B | reinvent | 3.146 | 0.884 |
| | reinvent trans | 3.146 | 0.884 |
| Isomers C7H8N2O2 | reinvent | 4.273 | 0.712 |
| | reinvent trans | 2.589 | 0.796 |
| Isomers C9H10N2O2PF2C1 | reinvent | 3.261 | 0.585 |
| | reinvent trans | 3.245 | 0.686 |
| Median 1 | reinvent | 4.571 | 0.408 |
| | reinvent trans | 3.532 | 0.371 |
| Median 2 | reinvent | 2.772 | 0.411 |
| | reinvent trans | 2.877 | 0.389 |
| Mestranol Similarity | reinvent | 3.799 | 0.267 |
| | reinvent trans | 4.394 | 0.434 |
| Osimertinib MPO | reinvent | 3.174 | 0.504 |
| | reinvent trans | 3.799 | 0.447 |
| Perindopril MPO | reinvent | 3.819 | 0.479 |
| | reinvent trans | 3.766 | 0.357 |
| QED | reinvent | 1.883 | 0.573 |
| | reinvent trans | 3.422 | 0.540 |
| Ranolazine MPO | reinvent | 3.468 | 0.421 |
| | reinvent trans | 2.727 | 0.434 |
| Scaffold Hop | reinvent | 2.857 | 0.555 |
| | reinvent trans | 4.355 | 0.382 |
| Sitagliptin MPO | reinvent | 2.639 | 0.692 |
| | reinvent trans | 5.279 | 0.391 |
| Thiothixene Rediscovery | reinvent | 2.899 | 0.373 |
| | reinvent trans | 3.275 | 0.441 |
| Troglitazone Rediscovery | reinvent | 3.275 | 0.441 |
| | reinvent trans | 4.435 | 0.204 |
| Valsartan Smarts | reinvent | 3.421 | 0.874 |
| | reinvent trans | 3.421 | 0.874 |
| Zaleplon MPO | reinvent | 1.991 | 0.614 |
| | reinvent trans | 2.465 | 0.486 |
|
./datasets/realWorld_datasets/tables/images/arxiv_9_6026.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--9--6026--M1
|
What is the avgSA values where the oracle is Deco Hope
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{3.458} || {3.240}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Oracle</td><td>Model</td><td>Avg SA\u2193</td><td>Diversity Top100\u2191</td></tr>\n<tr><td>Albuterol Similarity</td><td>reinvent</td><td>3.177</td><td>0.394</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.173</td><td>0.408</td></tr>\n<tr><td rowspan=\"2\">Amlodipine MPO</td><td>reinvent</td><td>3.478</td><td>0.391</td></tr>\n<tr><td>reinvent trans</td><td>3.888</td><td>0.311</td></tr>\n<tr><td>Celecoxib Rediscovery</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.357</td></tr>\n<tr><td>DRD2</td><td>reinvent</td><td>2.788</td><td>0.868</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.914</td><td>0.464</td></tr>\n<tr><td rowspan=\"2\">Deco Hop</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td>reinvent trans</td><td>3.240</td><td>0.457</td></tr>\n<tr><td>Fexofenadine MPO</td><td>reinvent</td><td>4.163</td><td>0.325</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.113</td><td>0.411</td></tr>\n<tr><td>GSK3B</td><td>reinvent</td><td>3.146</td><td>0.884</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.146</td><td>0.884</td></tr>\n<tr><td rowspan=\"2\">Isomers C7H8N2O2</td><td>reinvent</td><td>4.273</td><td>0.712</td></tr>\n<tr><td>reinvent trans</td><td>2.589</td><td>0.796</td></tr>\n<tr><td>Isomers C9H10N2O2PF2C1</td><td>reinvent</td><td>3.261</td><td>0.585</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.686</td></tr>\n<tr><td rowspan=\"2\">Median 1</td><td>reinvent</td><td>4.571</td><td>0.408</td></tr>\n<tr><td>reinvent trans</td><td>3.532</td><td>0.371</td></tr>\n<tr><td>Median 2</td><td>reinvent</td><td>2.772</td><td>0.411</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.877</td><td>0.389</td></tr>\n<tr><td rowspan=\"2\">Mestranol Similarity</td><td>reinvent</td><td>3.799</td><td>0.267</td></tr>\n<tr><td>reinvent trans</td><td>4.394</td><td>0.434</td></tr>\n<tr><td rowspan=\"2\">Osimertinib MPO</td><td>reinvent</td><td>3.174</td><td>0.504</td></tr>\n<tr><td>reinvent trans</td><td>3.799</td><td>0.447</td></tr>\n<tr><td rowspan=\"2\">Perindopril MPO</td><td>reinvent</td><td>3.819</td><td>0.479</td></tr>\n<tr><td>reinvent trans</td><td>3.766</td><td>0.357</td></tr>\n<tr><td>QED</td><td>reinvent</td><td>1.883</td><td>0.573</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.422</td><td>0.540</td></tr>\n<tr><td rowspan=\"2\">Ranolazine MPO</td><td>reinvent</td><td>3.468</td><td>0.421</td></tr>\n<tr><td>reinvent trans</td><td>2.727</td><td>0.434</td></tr>\n<tr><td>Scaffold Hop</td><td>reinvent</td><td>2.857</td><td>0.555</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.355</td><td>0.382</td></tr>\n<tr><td rowspan=\"2\">Sitagliptin MPO</td><td>reinvent</td><td>2.639</td><td>0.692</td></tr>\n<tr><td>reinvent trans</td><td>5.279</td><td>0.391</td></tr>\n<tr><td rowspan=\"2\">Thiothixene Rediscovery</td><td>reinvent</td><td>2.899</td><td>0.373</td></tr>\n<tr><td>reinvent trans</td><td>3.275</td><td>0.441</td></tr>\n<tr><td rowspan=\"2\">Troglitazone Rediscovery</td><td>reinvent</td><td>3.275</td><td>0.441</td></tr>\n<tr><td>reinvent trans</td><td>4.435</td><td>0.204</td></tr>\n<tr><td rowspan=\"2\">Valsartan Smarts</td><td>reinvent</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>reinvent trans</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>Zaleplon MPO</td><td>reinvent</td><td>1.991</td><td>0.614</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.465</td><td>0.486</td></tr>\n</table>` \n\nQuestion: `What is the avgSA values where the oracle is Deco Hope` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Oracle</td><td>Model</td><td>Avg SA\u2193</td><td>Diversity Top100\u2191</td></tr>\n<tr><td>Albuterol Similarity</td><td>reinvent</td><td>3.177</td><td>0.394</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.173</td><td>0.408</td></tr>\n<tr><td rowspan=\"2\">Amlodipine MPO</td><td>reinvent</td><td>3.478</td><td>0.391</td></tr>\n<tr><td>reinvent trans</td><td>3.888</td><td>0.311</td></tr>\n<tr><td>Celecoxib Rediscovery</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.357</td></tr>\n<tr><td>DRD2</td><td>reinvent</td><td>2.788</td><td>0.868</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.914</td><td>0.464</td></tr>\n<tr><td rowspan=\"2\">Deco Hop</td><td>reinvent</td><td>3.458</td><td>0.551</td></tr>\n<tr><td>reinvent trans</td><td>3.240</td><td>0.457</td></tr>\n<tr><td>Fexofenadine MPO</td><td>reinvent</td><td>4.163</td><td>0.325</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.113</td><td>0.411</td></tr>\n<tr><td>GSK3B</td><td>reinvent</td><td>3.146</td><td>0.884</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.146</td><td>0.884</td></tr>\n<tr><td rowspan=\"2\">Isomers C7H8N2O2</td><td>reinvent</td><td>4.273</td><td>0.712</td></tr>\n<tr><td>reinvent trans</td><td>2.589</td><td>0.796</td></tr>\n<tr><td>Isomers C9H10N2O2PF2C1</td><td>reinvent</td><td>3.261</td><td>0.585</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.245</td><td>0.686</td></tr>\n<tr><td rowspan=\"2\">Median 1</td><td>reinvent</td><td>4.571</td><td>0.408</td></tr>\n<tr><td>reinvent trans</td><td>3.532</td><td>0.371</td></tr>\n<tr><td>Median 2</td><td>reinvent</td><td>2.772</td><td>0.411</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.877</td><td>0.389</td></tr>\n<tr><td rowspan=\"2\">Mestranol Similarity</td><td>reinvent</td><td>3.799</td><td>0.267</td></tr>\n<tr><td>reinvent trans</td><td>4.394</td><td>0.434</td></tr>\n<tr><td rowspan=\"2\">Osimertinib MPO</td><td>reinvent</td><td>3.174</td><td>0.504</td></tr>\n<tr><td>reinvent trans</td><td>3.799</td><td>0.447</td></tr>\n<tr><td rowspan=\"2\">Perindopril MPO</td><td>reinvent</td><td>3.819</td><td>0.479</td></tr>\n<tr><td>reinvent trans</td><td>3.766</td><td>0.357</td></tr>\n<tr><td>QED</td><td>reinvent</td><td>1.883</td><td>0.573</td></tr>\n<tr><td></td><td>reinvent trans</td><td>3.422</td><td>0.540</td></tr>\n<tr><td rowspan=\"2\">Ranolazine MPO</td><td>reinvent</td><td>3.468</td><td>0.421</td></tr>\n<tr><td>reinvent trans</td><td>2.727</td><td>0.434</td></tr>\n<tr><td>Scaffold Hop</td><td>reinvent</td><td>2.857</td><td>0.555</td></tr>\n<tr><td></td><td>reinvent trans</td><td>4.355</td><td>0.382</td></tr>\n<tr><td rowspan=\"2\">Sitagliptin MPO</td><td>reinvent</td><td>2.639</td><td>0.692</td></tr>\n<tr><td>reinvent trans</td><td>5.279</td><td>0.391</td></tr>\n<tr><td rowspan=\"2\">Thiothixene Rediscovery</td><td>reinvent</td><td>2.899</td><td>0.373</td></tr>\n<tr><td>reinvent trans</td><td>3.275</td><td>0.441</td></tr>\n<tr><td rowspan=\"2\">Troglitazone Rediscovery</td><td>reinvent</td><td>3.275</td><td>0.441</td></tr>\n<tr><td>reinvent trans</td><td>4.435</td><td>0.204</td></tr>\n<tr><td rowspan=\"2\">Valsartan Smarts</td><td>reinvent</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>reinvent trans</td><td>3.421</td><td>0.874</td></tr>\n<tr><td>Zaleplon MPO</td><td>reinvent</td><td>1.991</td><td>0.614</td></tr>\n<tr><td></td><td>reinvent trans</td><td>2.465</td><td>0.486</td></tr>\n</table>` \n\nQuestion: `What is the avgSA values where the oracle is Deco Hope` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--3--2971
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Dataset Method,CUB-200-2011,NABirds,Oxford Flowers,Stanford Dogs,Stanford Cars,Mean,Params.(M)
1,Full fine-tuning,87.3,82.7,98.8,89.4,84.5,88.5,85.98
2,Linear probing,85.3,75.9,97.9,86.2,51.3,79.3,0.10
3,"Adapter [7]
:selected:",87.1,84.3,98.5,89.8,68.6,85.7,0.41
4,Bias 42,88.4,84.2,98.8,91.2,79.4,88.4,0.28
5,VPT-Shallow 6,86.7,78.8,98.4,90.7,68.7,84.6,0.25
6,VPT-Deep 6,88.5,84.2,99.0,90.2,83.6,89.1,0.85
7,"LoRA 24
:selected:",88.3,85.6,99.2,91.0,83.2,89.5,0.44
8,"SSF* 9
:selected:",89.5,85.7,99.6,89.6,89.2,90.7,0.39
9,"SSF
:selected:",82.7,85.9,98.5,87.7,82.6,87.5,0.39
10,ARCatt,88.4,85.0,99.4,90.1,82.7,89.1,0.15
11,ARC,88.5,85.3,99.3,91.9,85.7,90.1,0.20
|
<table id="0-1">
<tr><td>Dataset Method (diagonal text)</td><td>CUB-200-2011</td><td>NABirds</td><td>Oxford Flowers</td><td>Stanford Dogs</td><td>Stanford Cars</td><td>Mean</td><td>Params.(M)</td></tr>
<tr><td>Full fine-tuning</td><td>87.3</td><td>82.7</td><td>98.8</td><td>89.4</td><td>84.5</td><td>88.5</td><td>85.98</td></tr>
<tr><td>Linear probing</td><td>85.3</td><td>75.9</td><td>97.9</td><td>86.2</td><td>51.3</td><td>79.3</td><td>0.10</td></tr>
<tr><td>Adapter [7]</td><td>87.1</td><td>84.3</td><td>98.5</td><td>89.8</td><td>68.6</td><td>85.7</td><td>0.41</td></tr>
<tr><td>Bias [42]</td><td>88.4</td><td>84.2</td><td>98.8</td><td>91.2</td><td>79.4</td><td>88.4</td><td>0.28</td></tr>
<tr><td>VPT-Shallow 6</td><td>86.7</td><td>78.8</td><td>98.4</td><td>90.7</td><td>68.7</td><td>84.6</td><td>0.25</td></tr>
<tr><td>VPT-Deep 6</td><td>88.5</td><td>84.2</td><td>99.0</td><td>90.2</td><td>83.6</td><td>89.1</td><td>0.85</td></tr>
<tr><td>LoRA 24</td><td>88.3</td><td>85.6</td><td>99.2</td><td>91.0</td><td>83.2</td><td>89.5</td><td>0.44</td></tr>
<tr><td>SSF* 9</td><td>89.5</td><td>85.7</td><td>99.6</td><td>89.6</td><td>89.2</td><td>90.7</td><td>0.39</td></tr>
<tr><td>SSF 9</td><td>82.7</td><td>85.9</td><td>98.5</td><td>87.7</td><td>82.6</td><td>87.5</td><td>0.39</td></tr>
<tr><td>ARCatt</td><td>88.4</td><td>85.0</td><td>99.4</td><td>90.1</td><td>82.7</td><td>89.1</td><td>0.15</td></tr>
<tr><td>ARC</td><td>88.5</td><td>85.3</td><td>99.3</td><td>91.9</td><td>85.7</td><td>90.1</td><td>0.20</td></tr>
</table>
|
| Dataset Method (diagonal text) | CUB-200-2011 | NABirds | Oxford Flowers | Stanford Dogs | Stanford Cars | Mean | Params.(M) |
|---|---|---|---|---|---|---|---|
| Full fine-tuning | 87.3 | 82.7 | 98.8 | 89.4 | 84.5 | 88.5 | 85.98 |
| Linear probing | 85.3 | 75.9 | 97.9 | 86.2 | 51.3 | 79.3 | 0.10 |
| Adapter [7] | 87.1 | 84.3 | 98.5 | 89.8 | 68.6 | 85.7 | 0.41 |
| Bias [42] | 88.4 | 84.2 | 98.8 | 91.2 | 79.4 | 88.4 | 0.28 |
| VPT-Shallow 6 | 86.7 | 78.8 | 98.4 | 90.7 | 68.7 | 84.6 | 0.25 |
| VPT-Deep 6 | 88.5 | 84.2 | 99.0 | 90.2 | 83.6 | 89.1 | 0.85 |
| LoRA 24 | 88.3 | 85.6 | 99.2 | 91.0 | 83.2 | 89.5 | 0.44 |
| SSF* 9 | 89.5 | 85.7 | 99.6 | 89.6 | 89.2 | 90.7 | 0.39 |
| SSF 9 | 82.7 | 85.9 | 98.5 | 87.7 | 82.6 | 87.5 | 0.39 |
| ARCatt | 88.4 | 85.0 | 99.4 | 90.1 | 82.7 | 89.1 | 0.15 |
| ARC | 88.5 | 85.3 | 99.3 | 91.9 | 85.7 | 90.1 | 0.20 |
|
./datasets/realWorld_datasets/tables/images/arxiv_3_2971.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
arxiv--3--2971--M0
|
For the LoRA Method, what is the Oxford Flowers score
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{99.2}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Dataset Method (diagonal text)</td><td>CUB-200-2011</td><td>NABirds</td><td>Oxford Flowers</td><td>Stanford Dogs</td><td>Stanford Cars</td><td>Mean</td><td>Params.(M)</td></tr>\n<tr><td>Full fine-tuning</td><td>87.3</td><td>82.7</td><td>98.8</td><td>89.4</td><td>84.5</td><td>88.5</td><td>85.98</td></tr>\n<tr><td>Linear probing</td><td>85.3</td><td>75.9</td><td>97.9</td><td>86.2</td><td>51.3</td><td>79.3</td><td>0.10</td></tr>\n<tr><td>Adapter [7]</td><td>87.1</td><td>84.3</td><td>98.5</td><td>89.8</td><td>68.6</td><td>85.7</td><td>0.41</td></tr>\n<tr><td>Bias [42]</td><td>88.4</td><td>84.2</td><td>98.8</td><td>91.2</td><td>79.4</td><td>88.4</td><td>0.28</td></tr>\n<tr><td>VPT-Shallow 6</td><td>86.7</td><td>78.8</td><td>98.4</td><td>90.7</td><td>68.7</td><td>84.6</td><td>0.25</td></tr>\n<tr><td>VPT-Deep 6</td><td>88.5</td><td>84.2</td><td>99.0</td><td>90.2</td><td>83.6</td><td>89.1</td><td>0.85</td></tr>\n<tr><td>LoRA 24</td><td>88.3</td><td>85.6</td><td>99.2</td><td>91.0</td><td>83.2</td><td>89.5</td><td>0.44</td></tr>\n<tr><td>SSF* 9</td><td>89.5</td><td>85.7</td><td>99.6</td><td>89.6</td><td>89.2</td><td>90.7</td><td>0.39</td></tr>\n<tr><td>SSF 9</td><td>82.7</td><td>85.9</td><td>98.5</td><td>87.7</td><td>82.6</td><td>87.5</td><td>0.39</td></tr>\n<tr><td>ARCatt</td><td>88.4</td><td>85.0</td><td>99.4</td><td>90.1</td><td>82.7</td><td>89.1</td><td>0.15</td></tr>\n<tr><td>ARC</td><td>88.5</td><td>85.3</td><td>99.3</td><td>91.9</td><td>85.7</td><td>90.1</td><td>0.20</td></tr>\n</table>` \n\nQuestion: `For the LoRA Method, what is the Oxford Flowers score` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Dataset Method (diagonal text)</td><td>CUB-200-2011</td><td>NABirds</td><td>Oxford Flowers</td><td>Stanford Dogs</td><td>Stanford Cars</td><td>Mean</td><td>Params.(M)</td></tr>\n<tr><td>Full fine-tuning</td><td>87.3</td><td>82.7</td><td>98.8</td><td>89.4</td><td>84.5</td><td>88.5</td><td>85.98</td></tr>\n<tr><td>Linear probing</td><td>85.3</td><td>75.9</td><td>97.9</td><td>86.2</td><td>51.3</td><td>79.3</td><td>0.10</td></tr>\n<tr><td>Adapter [7]</td><td>87.1</td><td>84.3</td><td>98.5</td><td>89.8</td><td>68.6</td><td>85.7</td><td>0.41</td></tr>\n<tr><td>Bias [42]</td><td>88.4</td><td>84.2</td><td>98.8</td><td>91.2</td><td>79.4</td><td>88.4</td><td>0.28</td></tr>\n<tr><td>VPT-Shallow 6</td><td>86.7</td><td>78.8</td><td>98.4</td><td>90.7</td><td>68.7</td><td>84.6</td><td>0.25</td></tr>\n<tr><td>VPT-Deep 6</td><td>88.5</td><td>84.2</td><td>99.0</td><td>90.2</td><td>83.6</td><td>89.1</td><td>0.85</td></tr>\n<tr><td>LoRA 24</td><td>88.3</td><td>85.6</td><td>99.2</td><td>91.0</td><td>83.2</td><td>89.5</td><td>0.44</td></tr>\n<tr><td>SSF* 9</td><td>89.5</td><td>85.7</td><td>99.6</td><td>89.6</td><td>89.2</td><td>90.7</td><td>0.39</td></tr>\n<tr><td>SSF 9</td><td>82.7</td><td>85.9</td><td>98.5</td><td>87.7</td><td>82.6</td><td>87.5</td><td>0.39</td></tr>\n<tr><td>ARCatt</td><td>88.4</td><td>85.0</td><td>99.4</td><td>90.1</td><td>82.7</td><td>89.1</td><td>0.15</td></tr>\n<tr><td>ARC</td><td>88.5</td><td>85.3</td><td>99.3</td><td>91.9</td><td>85.7</td><td>90.1</td><td>0.20</td></tr>\n</table>` \n\nQuestion: `For the LoRA Method, what is the Oxford Flowers score` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--3--2971
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,Dataset Method,CUB-200-2011,NABirds,Oxford Flowers,Stanford Dogs,Stanford Cars,Mean,Params.(M)
1,Full fine-tuning,87.3,82.7,98.8,89.4,84.5,88.5,85.98
2,Linear probing,85.3,75.9,97.9,86.2,51.3,79.3,0.10
3,"Adapter [7]
:selected:",87.1,84.3,98.5,89.8,68.6,85.7,0.41
4,Bias 42,88.4,84.2,98.8,91.2,79.4,88.4,0.28
5,VPT-Shallow 6,86.7,78.8,98.4,90.7,68.7,84.6,0.25
6,VPT-Deep 6,88.5,84.2,99.0,90.2,83.6,89.1,0.85
7,"LoRA 24
:selected:",88.3,85.6,99.2,91.0,83.2,89.5,0.44
8,"SSF* 9
:selected:",89.5,85.7,99.6,89.6,89.2,90.7,0.39
9,"SSF
:selected:",82.7,85.9,98.5,87.7,82.6,87.5,0.39
10,ARCatt,88.4,85.0,99.4,90.1,82.7,89.1,0.15
11,ARC,88.5,85.3,99.3,91.9,85.7,90.1,0.20
|
<table id="0-1">
<tr><td>Dataset Method (diagonal text)</td><td>CUB-200-2011</td><td>NABirds</td><td>Oxford Flowers</td><td>Stanford Dogs</td><td>Stanford Cars</td><td>Mean</td><td>Params.(M)</td></tr>
<tr><td>Full fine-tuning</td><td>87.3</td><td>82.7</td><td>98.8</td><td>89.4</td><td>84.5</td><td>88.5</td><td>85.98</td></tr>
<tr><td>Linear probing</td><td>85.3</td><td>75.9</td><td>97.9</td><td>86.2</td><td>51.3</td><td>79.3</td><td>0.10</td></tr>
<tr><td>Adapter [7]</td><td>87.1</td><td>84.3</td><td>98.5</td><td>89.8</td><td>68.6</td><td>85.7</td><td>0.41</td></tr>
<tr><td>Bias [42]</td><td>88.4</td><td>84.2</td><td>98.8</td><td>91.2</td><td>79.4</td><td>88.4</td><td>0.28</td></tr>
<tr><td>VPT-Shallow 6</td><td>86.7</td><td>78.8</td><td>98.4</td><td>90.7</td><td>68.7</td><td>84.6</td><td>0.25</td></tr>
<tr><td>VPT-Deep 6</td><td>88.5</td><td>84.2</td><td>99.0</td><td>90.2</td><td>83.6</td><td>89.1</td><td>0.85</td></tr>
<tr><td>LoRA 24</td><td>88.3</td><td>85.6</td><td>99.2</td><td>91.0</td><td>83.2</td><td>89.5</td><td>0.44</td></tr>
<tr><td>SSF* 9</td><td>89.5</td><td>85.7</td><td>99.6</td><td>89.6</td><td>89.2</td><td>90.7</td><td>0.39</td></tr>
<tr><td>SSF 9</td><td>82.7</td><td>85.9</td><td>98.5</td><td>87.7</td><td>82.6</td><td>87.5</td><td>0.39</td></tr>
<tr><td>ARCatt</td><td>88.4</td><td>85.0</td><td>99.4</td><td>90.1</td><td>82.7</td><td>89.1</td><td>0.15</td></tr>
<tr><td>ARC</td><td>88.5</td><td>85.3</td><td>99.3</td><td>91.9</td><td>85.7</td><td>90.1</td><td>0.20</td></tr>
</table>
|
| Dataset Method (diagonal text) | CUB-200-2011 | NABirds | Oxford Flowers | Stanford Dogs | Stanford Cars | Mean | Params.(M) |
|---|---|---|---|---|---|---|---|
| Full fine-tuning | 87.3 | 82.7 | 98.8 | 89.4 | 84.5 | 88.5 | 85.98 |
| Linear probing | 85.3 | 75.9 | 97.9 | 86.2 | 51.3 | 79.3 | 0.10 |
| Adapter [7] | 87.1 | 84.3 | 98.5 | 89.8 | 68.6 | 85.7 | 0.41 |
| Bias [42] | 88.4 | 84.2 | 98.8 | 91.2 | 79.4 | 88.4 | 0.28 |
| VPT-Shallow 6 | 86.7 | 78.8 | 98.4 | 90.7 | 68.7 | 84.6 | 0.25 |
| VPT-Deep 6 | 88.5 | 84.2 | 99.0 | 90.2 | 83.6 | 89.1 | 0.85 |
| LoRA 24 | 88.3 | 85.6 | 99.2 | 91.0 | 83.2 | 89.5 | 0.44 |
| SSF* 9 | 89.5 | 85.7 | 99.6 | 89.6 | 89.2 | 90.7 | 0.39 |
| SSF 9 | 82.7 | 85.9 | 98.5 | 87.7 | 82.6 | 87.5 | 0.39 |
| ARCatt | 88.4 | 85.0 | 99.4 | 90.1 | 82.7 | 89.1 | 0.15 |
| ARC | 88.5 | 85.3 | 99.3 | 91.9 | 85.7 | 90.1 | 0.20 |
|
./datasets/realWorld_datasets/tables/images/arxiv_3_2971.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
arxiv--3--2971--M1
|
Report the Methods where Stanford Dogs score is higher that 90.0 and the NABrids score is 85.0 or more
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "2", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{LoRA} || {ARCatt} || {ARC}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Dataset Method (diagonal text)</td><td>CUB-200-2011</td><td>NABirds</td><td>Oxford Flowers</td><td>Stanford Dogs</td><td>Stanford Cars</td><td>Mean</td><td>Params.(M)</td></tr>\n<tr><td>Full fine-tuning</td><td>87.3</td><td>82.7</td><td>98.8</td><td>89.4</td><td>84.5</td><td>88.5</td><td>85.98</td></tr>\n<tr><td>Linear probing</td><td>85.3</td><td>75.9</td><td>97.9</td><td>86.2</td><td>51.3</td><td>79.3</td><td>0.10</td></tr>\n<tr><td>Adapter [7]</td><td>87.1</td><td>84.3</td><td>98.5</td><td>89.8</td><td>68.6</td><td>85.7</td><td>0.41</td></tr>\n<tr><td>Bias [42]</td><td>88.4</td><td>84.2</td><td>98.8</td><td>91.2</td><td>79.4</td><td>88.4</td><td>0.28</td></tr>\n<tr><td>VPT-Shallow 6</td><td>86.7</td><td>78.8</td><td>98.4</td><td>90.7</td><td>68.7</td><td>84.6</td><td>0.25</td></tr>\n<tr><td>VPT-Deep 6</td><td>88.5</td><td>84.2</td><td>99.0</td><td>90.2</td><td>83.6</td><td>89.1</td><td>0.85</td></tr>\n<tr><td>LoRA 24</td><td>88.3</td><td>85.6</td><td>99.2</td><td>91.0</td><td>83.2</td><td>89.5</td><td>0.44</td></tr>\n<tr><td>SSF* 9</td><td>89.5</td><td>85.7</td><td>99.6</td><td>89.6</td><td>89.2</td><td>90.7</td><td>0.39</td></tr>\n<tr><td>SSF 9</td><td>82.7</td><td>85.9</td><td>98.5</td><td>87.7</td><td>82.6</td><td>87.5</td><td>0.39</td></tr>\n<tr><td>ARCatt</td><td>88.4</td><td>85.0</td><td>99.4</td><td>90.1</td><td>82.7</td><td>89.1</td><td>0.15</td></tr>\n<tr><td>ARC</td><td>88.5</td><td>85.3</td><td>99.3</td><td>91.9</td><td>85.7</td><td>90.1</td><td>0.20</td></tr>\n</table>` \n\nQuestion: `Report the Methods where Stanford Dogs score is higher that 90.0 and the NABrids score is 85.0 or more` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Dataset Method (diagonal text)</td><td>CUB-200-2011</td><td>NABirds</td><td>Oxford Flowers</td><td>Stanford Dogs</td><td>Stanford Cars</td><td>Mean</td><td>Params.(M)</td></tr>\n<tr><td>Full fine-tuning</td><td>87.3</td><td>82.7</td><td>98.8</td><td>89.4</td><td>84.5</td><td>88.5</td><td>85.98</td></tr>\n<tr><td>Linear probing</td><td>85.3</td><td>75.9</td><td>97.9</td><td>86.2</td><td>51.3</td><td>79.3</td><td>0.10</td></tr>\n<tr><td>Adapter [7]</td><td>87.1</td><td>84.3</td><td>98.5</td><td>89.8</td><td>68.6</td><td>85.7</td><td>0.41</td></tr>\n<tr><td>Bias [42]</td><td>88.4</td><td>84.2</td><td>98.8</td><td>91.2</td><td>79.4</td><td>88.4</td><td>0.28</td></tr>\n<tr><td>VPT-Shallow 6</td><td>86.7</td><td>78.8</td><td>98.4</td><td>90.7</td><td>68.7</td><td>84.6</td><td>0.25</td></tr>\n<tr><td>VPT-Deep 6</td><td>88.5</td><td>84.2</td><td>99.0</td><td>90.2</td><td>83.6</td><td>89.1</td><td>0.85</td></tr>\n<tr><td>LoRA 24</td><td>88.3</td><td>85.6</td><td>99.2</td><td>91.0</td><td>83.2</td><td>89.5</td><td>0.44</td></tr>\n<tr><td>SSF* 9</td><td>89.5</td><td>85.7</td><td>99.6</td><td>89.6</td><td>89.2</td><td>90.7</td><td>0.39</td></tr>\n<tr><td>SSF 9</td><td>82.7</td><td>85.9</td><td>98.5</td><td>87.7</td><td>82.6</td><td>87.5</td><td>0.39</td></tr>\n<tr><td>ARCatt</td><td>88.4</td><td>85.0</td><td>99.4</td><td>90.1</td><td>82.7</td><td>89.1</td><td>0.15</td></tr>\n<tr><td>ARC</td><td>88.5</td><td>85.3</td><td>99.3</td><td>91.9</td><td>85.7</td><td>90.1</td><td>0.20</td></tr>\n</table>` \n\nQuestion: `Report the Methods where Stanford Dogs score is higher that 90.0 and the NABrids score is 85.0 or more` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--A0
|
What were the total broadcasting hours and the hours for Dramas on Qatar TV for the month of June 2018?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{800 | 116}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `What were the total broadcasting hours and the hours for Dramas on Qatar TV for the month of June 2018?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `What were the total broadcasting hours and the hours for Dramas on Qatar TV for the month of June 2018?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--M0
|
Which 2 months had the highest number of programs in total?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "2"}
|
{June} || {January}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `Which 2 months had the highest number of programs in total?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `Which 2 months had the highest number of programs in total?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--M1
|
Which month had the lowest number of total program hours?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{May}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `Which month had the lowest number of total program hours?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `Which month had the lowest number of total program hours?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--A1
|
For the months with more than 700 total broadcasting hours, what was the maximum number of hours for Dramas and the minimum number of hours for Educational programs?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{116 | 60}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `For the months with more than 700 total broadcasting hours, what was the maximum number of hours for Dramas and the minimum number of hours for Educational programs?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `For the months with more than 700 total broadcasting hours, what was the maximum number of hours for Dramas and the minimum number of hours for Educational programs?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--A2
|
How many hours were dedicated to "Cultural" programs on Qatar TV in the month of "May"?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{140}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `How many hours were dedicated to \"Cultural\" programs on Qatar TV in the month of \"May\"?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `How many hours were dedicated to \"Cultural\" programs on Qatar TV in the month of \"May\"?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--A5
|
What was the combined total of broadcasting hours for Dramas and Educational programs on Qatar TV in the month of June 2018?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{176}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `What was the combined total of broadcasting hours for Dramas and Educational programs on Qatar TV in the month of June 2018?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `What was the combined total of broadcasting hours for Dramas and Educational programs on Qatar TV in the month of June 2018?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--A4
|
How many hours were dedicated to Dramas, Educational, and Cultural programs on Qatar TV in the months of February and July?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{84 | 64 | 126} || {93 | 64 | 140}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `How many hours were dedicated to Dramas, Educational, and Cultural programs on Qatar TV in the months of February and July?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `How many hours were dedicated to Dramas, Educational, and Cultural programs on Qatar TV in the months of February and July?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--271
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Type of Programs Month,Total,Advertising,Dramas,Educational,Cultural,Cartoon,Recreation,Media,Religious
1,January,760,2,93,76,140,217,140,58,34
2,February,679,1,84,64,126,196,126,50,32
3,March,745,2,93,64,140,217,140,53,36
4,April,732,1,90,72,135,210,135,55,34
5,May,620,16,93,32,140,105,140,58,36
6,June,800,52,116,60,135,210,135,44,48
7,July,749,2,93,64,140,217,140,58,35
8,August,759,2,93,76,140,217,140,55,36
9,September,728,1,90,68,135,210,135,55,34
10,October,753,2,93,68,140,217,140,58,35
11,November,735,1,90,76,135,210,135,53,35
12,December,713,2,60,64,140,217,140,55,35
13,Total,"8,773",84,"1,088",784,"1,646","2,443","1,646",652,430
|
<table id="0-1">
<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>
<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>
<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>
<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>
<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>
<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>
<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>
<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>
<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>
<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>
<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>
<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>
</table>
|
| Month (diagonal line) Type of Programs | Total | Advertising | Dramas | Educational | Cultural | Cartoon | Recreation | Media | Religious |
|---|---|---|---|---|---|---|---|---|---|
| January | 760 | 2 | 93 | 76 | 140 | 217 | 140 | 58 | 34 |
| February | 679 | 1 | 84 | 64 | 126 | 196 | 126 | 50 | 32 |
| March | 745 | 2 | 93 | 64 | 140 | 217 | 140 | 53 | 36 |
| April | 732 | 1 | 90 | 72 | 135 | 210 | 135 | 55 | 34 |
| May | 620 | 16 | 93 | 32 | 140 | 105 | 140 | 58 | 36 |
| June | 800 | 52 | 116 | 60 | 135 | 210 | 135 | 44 | 48 |
| July | 749 | 2 | 93 | 64 | 140 | 217 | 140 | 58 | 35 |
| August | 759 | 2 | 93 | 76 | 140 | 217 | 140 | 55 | 36 |
| September | 728 | 1 | 90 | 68 | 135 | 210 | 135 | 55 | 34 |
| October | 753 | 2 | 93 | 68 | 140 | 217 | 140 | 58 | 35 |
| November | 735 | 1 | 90 | 76 | 135 | 210 | 135 | 53 | 35 |
| December | 713 | 2 | 60 | 64 | 140 | 217 | 140 | 55 | 35 |
| Total | 8,773 | 84 | 1,088 | 784 | 1,646 | 2,443 | 1,646 | 652 | 430 |
|
./datasets/realWorld_datasets/tables/images/psa_8_271.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--271--A3
|
For months with total broadcasting hours less than 700, what is the difference between the hours allocated to Dramas and Educational programs?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{20} || {61}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `For months with total broadcasting hours less than 700, what is the difference between the hours allocated to Dramas and Educational programs?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Month (diagonal line) Type of Programs</td><td>Total</td><td>Advertising</td><td>Dramas</td><td>Educational</td><td>Cultural</td><td>Cartoon</td><td>Recreation</td><td>Media</td><td>Religious</td></tr>\n<tr><td>January</td><td>760</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>58</td><td>34</td></tr>\n<tr><td>February</td><td>679</td><td>1</td><td>84</td><td>64</td><td>126</td><td>196</td><td>126</td><td>50</td><td>32</td></tr>\n<tr><td>March</td><td>745</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>53</td><td>36</td></tr>\n<tr><td>April</td><td>732</td><td>1</td><td>90</td><td>72</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>May</td><td>620</td><td>16</td><td>93</td><td>32</td><td>140</td><td>105</td><td>140</td><td>58</td><td>36</td></tr>\n<tr><td>June</td><td>800</td><td>52</td><td>116</td><td>60</td><td>135</td><td>210</td><td>135</td><td>44</td><td>48</td></tr>\n<tr><td>July</td><td>749</td><td>2</td><td>93</td><td>64</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>August</td><td>759</td><td>2</td><td>93</td><td>76</td><td>140</td><td>217</td><td>140</td><td>55</td><td>36</td></tr>\n<tr><td>September</td><td>728</td><td>1</td><td>90</td><td>68</td><td>135</td><td>210</td><td>135</td><td>55</td><td>34</td></tr>\n<tr><td>October</td><td>753</td><td>2</td><td>93</td><td>68</td><td>140</td><td>217</td><td>140</td><td>58</td><td>35</td></tr>\n<tr><td>November</td><td>735</td><td>1</td><td>90</td><td>76</td><td>135</td><td>210</td><td>135</td><td>53</td><td>35</td></tr>\n<tr><td>December</td><td>713</td><td>2</td><td>60</td><td>64</td><td>140</td><td>217</td><td>140</td><td>55</td><td>35</td></tr>\n<tr><td>Total</td><td>8,773</td><td>84</td><td>1,088</td><td>784</td><td>1,646</td><td>2,443</td><td>1,646</td><td>652</td><td>430</td></tr>\n</table>` \n\nQuestion: `For months with total broadcasting hours less than 700, what is the difference between the hours allocated to Dramas and Educational programs?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--3--159--A0
|
For economic activities with an Operating Surplus greater than 100,000, what is the minimum and maximum value of Compensation Of Employees?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": false, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{114117} || {1431634}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `For economic activities with an Operating Surplus greater than 100,000, what is the minimum and maximum value of Compensation Of Employees?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `For economic activities with an Operating Surplus greater than 100,000, what is the minimum and maximum value of Compensation Of Employees?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--3--159--A1
|
Is the Operating Surplus for 'Electricity, gas, steam and air conditioning supply' greater than the Operating Surplus for 'Water supply; sewerage, waste management and remediation activities'?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `Is the Operating Surplus for 'Electricity, gas, steam and air conditioning supply' greater than the Operating Surplus for 'Water supply; sewerage, waste management and remediation activities'?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `Is the Operating Surplus for 'Electricity, gas, steam and air conditioning supply' greater than the Operating Surplus for 'Water supply; sewerage, waste management and remediation activities'?` \n\n # OUTPUT: \nAnswer:"}]
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psa--3--159
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
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psa--3--159--A4
|
For the activity "Sewerage", is the "Operating Surplus" greater than the "Compensation Of Employees"?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
No
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `For the activity \"Sewerage\", is the \"Operating Surplus\" greater than the \"Compensation Of Employees\"?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `For the activity \"Sewerage\", is the \"Operating Surplus\" greater than the \"Compensation Of Employees\"?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--3--159--A5
|
For the economic activity "Water supply; sewerage, waste management and remediation activities", what is the computed total of "Operating Surplus" and "Compensation Of Employees"?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{418321}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `For the economic activity \"Water supply; sewerage, waste management and remediation activities\", what is the computed total of \"Operating Surplus\" and \"Compensation Of Employees\"?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `For the economic activity \"Water supply; sewerage, waste management and remediation activities\", what is the computed total of \"Operating Surplus\" and \"Compensation Of Employees\"?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
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psa--3--159--M1
|
Does sewerage value added per work the highest among all main economic activies?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": true, "Yes/No Scope Single": true, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
No
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `Does sewerage value added per work the highest among all main economic activies?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `Does sewerage value added per work the highest among all main economic activies?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--3--159--A2
|
What are the Operating Surplus, Compensation Of Employees, and Value Added Per Worker for the activities 'Electricity, gas, steam and air conditioning supply', 'Sewerage', and 'Waste collection, treatment and disposal activities; materials recovery'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{11244046 | 1431634 | 2957426 } || { 35593 | 38373 | 121236 } || { 210113 | 114117 | 231852}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `What are the Operating Surplus, Compensation Of Employees, and Value Added Per Worker for the activities 'Electricity, gas, steam and air conditioning supply', 'Sewerage', and 'Waste collection, treatment and disposal activities; materials recovery'?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `What are the Operating Surplus, Compensation Of Employees, and Value Added Per Worker for the activities 'Electricity, gas, steam and air conditioning supply', 'Sewerage', and 'Waste collection, treatment and disposal activities; materials recovery'?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--3--159--M0
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What is total average annual wage?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{234475}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `What is total average annual wage?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `What is total average annual wage?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--3--159
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Activity Code,Main Economic Activity,Distribution Of Net Value Added (Value QR. 000),__,( QR.) Value Added Per Worker,( QR.) Productivity Of Employee,(%) Percentage Of Intermediate Services To,(%) Percentage Of Intermediate Goods To Output,( QR.) Average Annual Wage (1)
1,__,__,Operating Surplus,Compensat ion Of Employees,__,__,__,__,__
2,D,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
3,35,"Electricity, gas, steam and air conditioning supply",11244046,1431634,2957426,6365191,2.50,51.03,323460
4,E,"Water supply; sewerage,
waste management and remediation activities",251538,166783,189061,320956,22.07,19.03,69901
5,37,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
6,3700,Sewerage,35593,38373,121236,231594,40.91,6.74,57445
7,38,"Waste collection, treatment and disposal activities; materials recovery",210113,114117,231852,379860,16.94,22.02,76435
8,3811,Collection of non-hazardous waste,34660,14276,101881,114713,8.23,2.95,28438
9,3821,Treatment and disposal of non- hazardous waste,98843,69230,314423,512726,23.66,15.02,124964
10,3822,Treatment and disposal of hazardous waste,38658,18991,236734,309068,14.86,8.54,70079
11,3830,Materials recovery,37952,11620,342141,855434,8.27,51.73,70000
12,39,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
13,3900,Remediation activities and other waste management services,5832,14293,107501,196726,21.57,23.78,63526
14,,Total,11495581,1598417,1986447,4245231,3.02,50.18,234475
|
<table id="0-1">
<tr><td rowspan="2">Activity Code</td><td rowspan="2">Main Economic Activity</td><td colspan="2">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan="2">(QR.) Value Added Per Worker</td><td rowspan="2">(QR.) Productivity Of Employee</td><td rowspan="2">(%) Percentage Of Intermediate Services To</td><td rowspan="2">(%) Percentage Of Intermediate Goods To Output</td><td rowspan="2">1 (QR.) Average Annual Wage (1)</td></tr>
<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>
<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>
<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>
<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>
<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>
<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>
<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>
<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>
<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>
<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>
<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>
</table>
|
| Activity Code | Main Economic Activity | Distribution Of Net Value Added (Value QR. 000) | | (QR.) Value Added Per Worker | (QR.) Productivity Of Employee | (%) Percentage Of Intermediate Services To | (%) Percentage Of Intermediate Goods To Output | 1 (QR.) Average Annual Wage (1) |
|---|---|---|---|---|---|---|---|---|
| | | Operating Surplus | Compensat ion Of Employees | | | | | |
| D | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| 35 | Electricity, gas, steam and air conditioning supply | 11244046 | 1431634 | 2957426 | 6365191 | 2.50 | 51.03 | 323460 |
| E | Water supply; sewerage, waste management and remediation activities | 251538 | 166783 | 189061 | 320956 | 22.07 | 19.03 | 69901 |
| 37 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 3700 | Sewerage | 35593 | 38373 | 121236 | 231594 | 40.91 | 6.74 | 57445 |
| 38 | Waste collection, treatment and disposal activities; materials recovery | 210113 | 114117 | 231852 | 379860 | 16.94 | 22.02 | 76435 |
| 3811 | Collection of non-hazardous waste | 34660 | 14276 | 101881 | 114713 | 8.23 | 2.95 | 28438 |
| 3821 | Treatment and disposal of non-hazardous waste | 98843 | 69230 | 314423 | 512726 | 23.66 | 15.02 | 124964 |
| 3822 | Treatment and disposal of hazardous waste | 38658 | 18991 | 236734 | 309068 | 14.86 | 8.54 | 70079 |
| 3830 | Materials recovery | 37952 | 11620 | 342141 | 855434 | 8.27 | 51.73 | 70000 |
| 39 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| 3900 | Remediation activities and other waste management services | 5832 | 14293 | 107501 | 196726 | 21.57 | 23.78 | 63526 |
| | Total | 11495581 | 1598417 | 1986447 | 4245231 | 3.02 | 50.18 | 234475 |
|
./datasets/realWorld_datasets/tables/images/psa_3_159.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--3--159--A3
|
What is the Operating Surplus and Compensation Of Employees for the activity 'Water supply; sewerage, waste management and remediation activities'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{251538 | 166783}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `What is the Operating Surplus and Compensation Of Employees for the activity 'Water supply; sewerage, waste management and remediation activities'?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Activity Code</td><td rowspan=\"2\">Main Economic Activity</td><td colspan=\"2\">Distribution Of Net Value Added (Value QR. 000)</td><td rowspan=\"2\">(QR.) Value Added Per Worker</td><td rowspan=\"2\">(QR.) Productivity Of Employee</td><td rowspan=\"2\">(%) Percentage Of Intermediate Services To</td><td rowspan=\"2\">(%) Percentage Of Intermediate Goods To Output</td><td rowspan=\"2\">1 (QR.) Average Annual Wage (1)</td></tr>\n<tr><td>Operating Surplus</td><td>Compensat ion Of Employees</td></tr>\n<tr><td>D</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>35</td><td>Electricity, gas, steam and air conditioning supply</td><td>11244046</td><td>1431634</td><td>2957426</td><td>6365191</td><td>2.50</td><td>51.03</td><td>323460</td></tr>\n<tr><td>E</td><td>Water supply; sewerage, waste management and remediation activities</td><td>251538</td><td>166783</td><td>189061</td><td>320956</td><td>22.07</td><td>19.03</td><td>69901</td></tr>\n<tr><td>37</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>3700</td><td>Sewerage</td><td>35593</td><td>38373</td><td>121236</td><td>231594</td><td>40.91</td><td>6.74</td><td>57445</td></tr>\n<tr><td>38</td><td>Waste collection, treatment and disposal activities; materials recovery</td><td>210113</td><td>114117</td><td>231852</td><td>379860</td><td>16.94</td><td>22.02</td><td>76435</td></tr>\n<tr><td>3811</td><td>Collection of non-hazardous waste</td><td>34660</td><td>14276</td><td>101881</td><td>114713</td><td>8.23</td><td>2.95</td><td>28438</td></tr>\n<tr><td>3821</td><td>Treatment and disposal of non-hazardous waste</td><td>98843</td><td>69230</td><td>314423</td><td>512726</td><td>23.66</td><td>15.02</td><td>124964</td></tr>\n<tr><td>3822</td><td>Treatment and disposal of hazardous waste</td><td>38658</td><td>18991</td><td>236734</td><td>309068</td><td>14.86</td><td>8.54</td><td>70079</td></tr>\n<tr><td>3830</td><td>Materials recovery</td><td>37952</td><td>11620</td><td>342141</td><td>855434</td><td>8.27</td><td>51.73</td><td>70000</td></tr>\n<tr><td>39</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td>3900</td><td>Remediation activities and other waste management services</td><td>5832</td><td>14293</td><td>107501</td><td>196726</td><td>21.57</td><td>23.78</td><td>63526</td></tr>\n<tr><td></td><td>Total</td><td>11495581</td><td>1598417</td><td>1986447</td><td>4245231</td><td>3.02</td><td>50.18</td><td>234475</td></tr>\n</table>` \n\nQuestion: `What is the Operating Surplus and Compensation Of Employees for the activity 'Water supply; sewerage, waste management and remediation activities'?` \n\n # OUTPUT: \nAnswer:"}]
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census--4--596
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10,11,12
0,Geographic area,"Nonfarm employment (BLS)1 (1,000)",__,__,Earnings (BEA)2 (mil. dol.),__,__,Federal tax collections3 (mil. dol.),__,__,State tax collections (mil. dol.),__,__
1,__,2004,2003,2000,2004,2003,2001,2004,2003,2000,2004,2003,2000
2,United States,"421,618.0","421,583.0","420,790.0","1,210,977","1,163,988","1,048,681","2,002,296","1,930,649","2,076,044","593,489","548,991","539,655"
3,Alabama,359.9,358.4,351.7,"18,184","17,701","15,838","18,489","17,907","18,869","7,018","6,416","6,438"
4,Alaska,81.2,81.6,74.4,"5,852","5,595","4,938","3,267","3,249","2,977","1,288","1,120","1,423"
5,Arizona,400.7,393.5,366.6,"20,800","19,475","16,941","25,345","23,231","25,173","9,606","8,692","8,101"
6,Arkansas,200.7,198.5,190.7,"9,213","8,630","7,652","20,576","19,849","17,743","5,581","5,146","4,871"
7,California,"2,390.3","2,425.5","2,318.1","152,099","147,897","133,820","237,931","227,611","258,601","85,721","79,198","83,808"
8,Colorado,359.2,356.2,337.0,"20,657","19,791","17,512","34,661","33,739","37,371","7,051","6,636","7,075"
9,Connecticut,242.4,246.0,241.8,"14,763","14,155","13,233","41,909","38,746","40,344","10,291","9,509","10,171"
10,Delaware,58.1,57.2,56.6,"3,517","3,345","2,864","11,151","10,481","11,841","2,375","2,116","2,132"
11,District of Columbia,230.6,230.6,223.9,"24,414","23,713","21,015","16,931","19,413",(5),(NA),(NA),(NA)
12,Florida,"1,069.0","1,053.0","1,001.7","60,389","56,544","50,183","94,278","91,247","97,339","30,768","26,993","24,817"
13,Georgia,638.4,632.4,597.2,"35,786","34,360","30,184","59,084","56,847","61,040","14,571","13,412","13,511"
14,Hawaii .,120.1,119.1,114.6,"9,922","9,317","8,086","8,395","5,262","6,237","3,849","3,570","3,335"
15,Idaho.,114.2,113.0,108.8,"5,257","4,948","4,410","6,480","6,757","7,330","2,648","2,344","2,377"
16,Illinois,843.9,853.2,839.6,"46,431","45,135","42,112","108,477","105,855","115,149","25,491","22,212","22,789"
17,Indiana,426.1,422.6,410.3,"19,286","18,502","17,041","32,192","33,066","33,891","11,957","11,216","10,104"
18,lowa,244.3,244.8,243.3,"10,972","10,532","9,670","14,543","14,559","14,646","5,133","4,922","5,185"
19,Kansas,252.0,250.4,244.9,"11,863","11,212","10,136","15,897","15,516","17,815","5,284","5,008","4,848"
20,Kentucky,309.4,312.5,305.1,"15,592","15,064","13,658","17,515","16,812","17,899","8,463","8,319","7,695"
21,Louisiana,382.5,379.3,373.4,"17,792","16,897","14,798","20,341","19,878","16,200","8,026","7,450","6,512"
22,Maine,104.9,103.7,99.5,"5,322","5,094","4,478","5,487","5,194","5,570","2,897","2,697","2,661"
23,Maryland,465.7,467.1,452.5,"33,523","32,992","29,615","40,893","38,251","57,985","12,315","10,980","10,354"
24,Massachusetts,407.6,412.6,423.9,"24,302","23,682","22,175","59,060","56,054","64,307","16,699","15,608","16,153"
25,Michigan,682.1,685.4,681.6,"33,667","33,099","30,723","63,745","64,764","75,674","24,061","22,748","22,756"
26,Minnesota,411.1,412.5,407.6,"19,921","19,137","17,359","58,068","57,906","55,241","14,735","13,981","13,339"
27,Mississippi,242.5,240.8,233.8,"11,596","10,984","9,664","8,951","9,014","9,759","5,125","4,999","4,712"
28,Missouri,429.3,432.2,426.2,"20,726","20,167","18,454","38,326","38,120","40,653","9,120","8,627","8,572"
29,Montana,87.0,85.8,80.3,"4,091","3,903","3,420","3,134","3,096","3,675","1,626","1,487","1,411"
30,Nebraska,160.1,159.8,154.4,"7,591","7,233","6,390","14,393","13,867","12,662","3,640","3,348","2,981"
31,Nevada,138.5,134.9,121.7,"8,909","8,141","7,014","13,294","13,170","11,892","4,739","4,129","3,717"
32,New Hampshire.,89.7,90.1,83.5,"4,094","3,938","3,389","7,183","7,366","7,942","2,005","1,959","1,696"
33,New Jersey,634.1,621.9,588.8,"38,389","36,344","32,595","91,082","86,514","95,860","20,981","19,936","18,148"
34,New Mexico,198.3,195.1,183.0,"10,548","10,000","8,735","6,050",6.271,"6,197","4,002","3,607","3,743"
35,New York .,"1,483.3","1,487.8","1,467.7","85,597","82,207","76,268","171,949","168,462","191,362","45,834","42,253","41,736"
36,North Carolina.,650.7,641.4,622.2,"36,755","34,551","30,617","53,979","48,365","44,947","16,576","15,849","15,315"
37,North Dakota,74.6,75.3,73.0,"3,370","3,201","2,747","2,825","2,721","2,873","1,229","1,178","1,172"
38,Ohio,801.8,802.6,785.0,"40,566","39,547","35,814","87,854","85,242","88,641","22,476","20,652","19,676"
39,Oklahoma,301.6,295.8,287.7,"15,359","14,673","13,429","20,419","19,635","19,113","6,427","5,906","5,840"
40,Oregon,269.5,267.7,267.3,"14,079","13,470","12,651","18,880","17,540","20,068","6,103","5,702","5,946"
41,Pennsylvania,745.1,745.6,725.1,"39,843","38,990","35,374","87,841","81,812","88,350","25,347","23,187","22,467"
42,Rhode Island,65.8,66.2,64.3,"4,459","4,329","3,954","8,545","8,664","8,258","2,409","2,257","2,035"
43,South Carolina,327.5,326.1,322.8,"17,192","16,401","14,904","15,357","14,999","16,455","6,804","6,353","6,381"
44,South Dakota,74.3,74.3,70.3,"3,295","3,115","2,780","3,294","3,375","4,111","1,063","1,013",927
45,Tennessee,414.0,411.1,399.0,"19,385","18,513","16,587","36,802","35,251","36,710","9,536","8,812","7,740"
46,Texas,"1,655.6","1,646.1","1,561.9","83,934","81,112","71,197","152,691","141,935","152,583","30,752","29,099","27,424"
47,Utah,198.7,196.6,185.4,"9,774","9,440","8,391","9,594","9,306","10,023","4,189","3,955","3,979"
48,Vermont,52.4,52.0,49.4,"2,602","2,410","2,076","3,079","3,035","3,467","1,767","1,559","1,483"
49,Virginia,651.5,637.5,624.7,"48,270","46,001","41,514","47,017","47,095","50,091","14,233","12,969","12,648"
50,Washington,523.3,520.6,483.3,"31,444","30,060","26,596","42,168","41,906","47,845","13,895","12,960","12,567"
51,West Virginia,143.1,142.5,143.1,"7,005","6,779","6,110","5,226","4,830","5,016","3,749",3.594,"3,343"
52,Wisconsin.,412.1,412.9,405.6,"19,633","18,881","17,171","34,711","34,153","35,890","12,531","12,090","12,575"
53,Wyoming,64.6,63.5,60.7,"2,946","2,780","2,397","2,934","2,712","2,357","1,505","1,217",964
|
<table id="0-1">
<tr><td rowspan="2">Geographic area</td><td colspan="3">Nonfarm employment (BLS)¹ (1,000)</td><td colspan="3">Earnings (BEA)² (mil. dol.)</td><td colspan="3">Federal tax collections³ (mil. dol.)</td><td colspan="3">State tax collections (mil. dol.)</td></tr>
<tr><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2001</td><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2000</td></tr>
<tr><td>United States</td><td>421,618.0</td><td>421,583.0</td><td>420,790.0</td><td>1,210,977</td><td>1,163,988</td><td>1,048,681</td><td>2,002,296</td><td>1,930,649</td><td>2,076,044</td><td>593,489</td><td>548,991</td><td>539,655</td></tr>
<tr><td>Alabama</td><td>359.9</td><td>358.4</td><td>351.7</td><td>18,184</td><td>17,701</td><td>15,838</td><td>18,489</td><td>17,907</td><td>18,869</td><td>7,018</td><td>6,416</td><td>6,438</td></tr>
<tr><td>Alaska.</td><td>81.2</td><td>81.6</td><td>74.4</td><td>5,852</td><td>5,595</td><td>4,938</td><td>3,267</td><td>3,249</td><td>2,977</td><td>1,288</td><td>1,120</td><td>1,423</td></tr>
<tr><td>Arizona</td><td>400.7</td><td>393.5</td><td>366.6</td><td>20,800</td><td>19,475</td><td>16,941</td><td>25,345</td><td>23,231</td><td>25,173</td><td>9,606</td><td>8,692</td><td>8,101</td></tr>
<tr><td>Arkansas</td><td>200.7</td><td>198.5</td><td>190.7</td><td>9,213</td><td>8,630</td><td>7,652</td><td>20.576</td><td>19,849</td><td>17,743</td><td>5,581</td><td>5,146</td><td>4,871</td></tr>
<tr><td>California</td><td>2,390.3</td><td>2,425.5</td><td>2,318.1</td><td>152,099</td><td>147,897</td><td>133,820</td><td>237,931</td><td>227,611</td><td>258,601</td><td>85,721</td><td>79,198</td><td>83,808</td></tr>
<tr><td>Colorado</td><td>359.2</td><td>356.2</td><td>337.0</td><td>20,657</td><td>19,791</td><td>17,512</td><td>34,661</td><td>33,739</td><td>37,371</td><td>7,051</td><td>6,636</td><td>7,075</td></tr>
<tr><td>Connecticut</td><td>242.4</td><td>246.0</td><td>241.8</td><td>14,763</td><td>14,155</td><td>13,233</td><td>41,909</td><td>38.746</td><td>40,344</td><td>10,291</td><td>9,509</td><td>10,171</td></tr>
<tr><td>Delaware</td><td>58.1</td><td>57.2</td><td>56.6</td><td>3,517</td><td>3,345</td><td>2,864</td><td>11,151</td><td>10,481</td><td>11,841</td><td>2,375</td><td>2,116</td><td>2,132</td></tr>
<tr><td>District of Columbia</td><td>230.6</td><td>230.6</td><td>223.9</td><td>24,414</td><td>23,713</td><td>21,015</td><td>16,931</td><td>19,413</td><td>(°)</td><td>(NA)</td><td>(NA)</td><td>(NA)</td></tr>
<tr><td>Florida</td><td>1,069.0</td><td>1,053.0</td><td>1,001.7</td><td>60,389</td><td>56,544</td><td>50,183</td><td>94,278</td><td>91,247</td><td>97,339</td><td>30,768</td><td>26,993</td><td>24,817</td></tr>
<tr><td>Georgia</td><td>638.4</td><td>632.4</td><td>597.2</td><td>35,786</td><td>34,360</td><td>30,184</td><td>59,084</td><td>56,847</td><td>61,040</td><td>14,571</td><td>13,412</td><td>13,511</td></tr>
<tr><td>Hawaii</td><td>120.1</td><td>119.1</td><td>114.6</td><td>9,922</td><td>9.317</td><td>8.086</td><td>8.395</td><td>5,262</td><td>6,237</td><td>3,849</td><td>3,570</td><td>3,335</td></tr>
<tr><td>Idaho.</td><td>114.2</td><td>113.0</td><td>108.8</td><td>5,257</td><td>4,948</td><td>4,410</td><td>6,480</td><td>6,757</td><td>7,330</td><td>2,648</td><td>2,344</td><td>2,377</td></tr>
<tr><td>Illinois</td><td>843.9</td><td>853.2</td><td>839.6</td><td>46,431</td><td>45,135</td><td>42,112</td><td>108,477</td><td>105.855</td><td>115,149</td><td>25,491</td><td>22.212</td><td>22,789</td></tr>
<tr><td>Indiana</td><td>426.1</td><td>422.6</td><td>410.3</td><td>19,286</td><td>18,502</td><td>17,041</td><td>32,192</td><td>33.066</td><td>33.891</td><td>11,957</td><td>11,216</td><td>10,104</td></tr>
<tr><td>lowa</td><td>244.3</td><td>244.8</td><td>243.3</td><td>10,972</td><td>10,532</td><td>9,670</td><td>14,543</td><td>14,559</td><td>14,646</td><td>5,133</td><td>4,922</td><td>5,185</td></tr>
<tr><td>Kansas</td><td>252.0</td><td>250.4</td><td>244.9</td><td>11,863</td><td>11,212</td><td>10,136</td><td>15,897</td><td>15,516</td><td>17,815</td><td>5,284</td><td>5,008</td><td>4,848</td></tr>
<tr><td>Kentucky</td><td>309.4</td><td>312.5</td><td>305.1</td><td>15,592</td><td>15,064</td><td>13,658</td><td>17,515</td><td>16,812</td><td>17,899</td><td>8,463</td><td>8,319</td><td>7,695</td></tr>
<tr><td>Louisiana</td><td>382.5</td><td>379.3</td><td>373.4</td><td>17,792</td><td>16,897</td><td>14,798</td><td>20,341</td><td>19,878</td><td>16,200</td><td>8,026</td><td>7,450</td><td>6,512</td></tr>
<tr><td>Maine</td><td>104.9</td><td>103.7</td><td>99.5</td><td>5,322</td><td>5,094</td><td>4,478</td><td>5,487</td><td>5,194</td><td>5,570</td><td>2,897</td><td>2,697</td><td>2,661</td></tr>
<tr><td>Maryland</td><td>465.7</td><td>467.1</td><td>452.5</td><td>33,523</td><td>32,992</td><td>29,615</td><td>40,893</td><td>38,251</td><td>57,985</td><td>12,315</td><td>10,980</td><td>10,354</td></tr>
<tr><td>Massachusetts</td><td>407.6</td><td>412.6</td><td>423.9</td><td>24,302</td><td>23.682</td><td>22,175</td><td>59.060</td><td>56,054</td><td>64,307</td><td>16,699</td><td>15,608</td><td>16.153</td></tr>
<tr><td>Michigan</td><td>682.1</td><td>685.4</td><td>681.6</td><td>33,667</td><td>33,099</td><td>30,723</td><td>63,745</td><td>64,764</td><td>75,674</td><td>24,061</td><td>22,748</td><td>22,756</td></tr>
<tr><td>Minnesota</td><td>411.1</td><td>412.5</td><td>407.6</td><td>19,921</td><td>19,137</td><td>17,359</td><td>58,068</td><td>57,906</td><td>55,241</td><td>14,735</td><td>13,981</td><td>13,339</td></tr>
<tr><td>Mississippi</td><td>242.5</td><td>240.8</td><td>233.8</td><td>11,596</td><td>10,984</td><td>9,664</td><td>8,951</td><td>9,014</td><td>9,759</td><td>5,125</td><td>4,999</td><td>4,712</td></tr>
<tr><td>Missouri</td><td>429.3</td><td>432.2</td><td>426.2</td><td>20,726</td><td>20,167</td><td>18,454</td><td>38,326</td><td>38,120</td><td>40,653</td><td>9,120</td><td>8,627</td><td>8,572</td></tr>
<tr><td>Montana</td><td>87.0</td><td>85.8</td><td>80.3</td><td>4,091</td><td>3.903</td><td>3.420</td><td>3,134</td><td>3,096</td><td>3,675</td><td>1,626</td><td>1,487</td><td>1,411</td></tr>
<tr><td>Nebraska</td><td>160.1</td><td>159.8</td><td>154.4</td><td>7,591</td><td>7,233</td><td>6,390</td><td>14,393</td><td>13,867</td><td>12,662</td><td>3,640</td><td>3,348</td><td>2,981</td></tr>
<tr><td>Nevada</td><td>138.5</td><td>134.9</td><td>121.7</td><td>8,909</td><td>8,141</td><td>7,014</td><td>13,294</td><td>13,170</td><td>11,892</td><td>4,739</td><td>4,129</td><td>3,717</td></tr>
<tr><td>New Hampshire</td><td>89.7</td><td>90.1</td><td>83.5</td><td>4,094</td><td>3,938</td><td>3,389</td><td>7,183</td><td>7,366</td><td>7,942</td><td>2,005</td><td>1,959</td><td>1,696</td></tr>
<tr><td>New Jersey</td><td>634.1</td><td>621.9</td><td>588.8</td><td>38,389</td><td>36,344</td><td>32,595</td><td>91,082</td><td>86,514</td><td>95,860</td><td>20,981</td><td>19,936</td><td>18,148</td></tr>
<tr><td>New Mexico</td><td>198.3</td><td>195.1</td><td>183.0</td><td>10,548</td><td>10,000</td><td>8,735</td><td>6,050</td><td>6,271</td><td>6,197</td><td>4,002</td><td>3,607</td><td>3,743</td></tr>
<tr><td>New York</td><td>1,483.3</td><td>1,487.8</td><td>1,467.7</td><td>85,597</td><td>82,207</td><td>76,268</td><td>171,949</td><td>168,462</td><td>191,362</td><td>45,834</td><td>42,253</td><td>41,736</td></tr>
<tr><td>North Carolina</td><td>650.7</td><td>641.4</td><td>622.2</td><td>36,755</td><td>34,551</td><td>30,617</td><td>53,979</td><td>48,365</td><td>44,947</td><td>16,576</td><td>15,849</td><td>15,315</td></tr>
<tr><td>North Dakota</td><td>74.6</td><td>75.3</td><td>73.0</td><td>3,370</td><td>3,201</td><td>2,747</td><td>2,825</td><td>2,721</td><td>2,873</td><td>1,229</td><td>1,178</td><td>1,172</td></tr>
<tr><td>Ohio</td><td>801.8</td><td>802.6</td><td>785.0</td><td>40,566</td><td>39,547</td><td>35,814</td><td>87,854</td><td>85,242</td><td>88,641</td><td>22,476</td><td>20,652</td><td>19,676</td></tr>
<tr><td>Oklahoma</td><td>301.6</td><td>295.8</td><td>287.7</td><td>15,359</td><td>14,673</td><td>13,429</td><td>20,419</td><td>19,635</td><td>19,113</td><td>6,427</td><td>5,906</td><td>5,840</td></tr>
<tr><td>Oregon</td><td>269.5</td><td>267.7</td><td>267.3</td><td>14,079</td><td>13,470</td><td>12,651</td><td>18,880</td><td>17.540</td><td>20,068</td><td>6,103</td><td>5,702</td><td>5,946</td></tr>
<tr><td>Pennsylvania</td><td>745.1</td><td>745.6</td><td>725.1</td><td>39,843</td><td>38,990</td><td>35,374</td><td>87,841</td><td>81,812</td><td>88,350</td><td>25,347</td><td>23,187</td><td>22,467</td></tr>
<tr><td>Rhode Island</td><td>65.8</td><td>66.2</td><td>64.3</td><td>4,459</td><td>4,329</td><td>3,954</td><td>8,545</td><td>8,664</td><td>8,258</td><td>2,409</td><td>2,257</td><td>2,035</td></tr>
<tr><td>South Carolina</td><td>327.5</td><td>326.1</td><td>322.8</td><td>17,192</td><td>16,401</td><td>14,904</td><td>15,357</td><td>14,999</td><td>16,455</td><td>6,804</td><td>6,353</td><td>6,381</td></tr>
<tr><td>South Dakota</td><td>74.3</td><td>74.3</td><td>70.3</td><td>3,295</td><td>3.115</td><td>2,780</td><td>3,294</td><td>3,375</td><td>4,111</td><td>1,063</td><td>1,013</td><td>927</td></tr>
<tr><td>Tennessee</td><td>414.0</td><td>411.1</td><td>399.0</td><td>19,385</td><td>18,513</td><td>16,587</td><td>36,802</td><td>35,251</td><td>36,710</td><td>9,536</td><td>8,812</td><td>7,740</td></tr>
<tr><td>Texas</td><td>1,655.6</td><td>1,646.1</td><td>1,561.9</td><td>83,934</td><td>81,112</td><td>71,197</td><td>152,691</td><td>141,935</td><td>152,583</td><td>30,752</td><td>29,099</td><td>27,424</td></tr>
<tr><td>Utah</td><td>198.7</td><td>196.6</td><td>185.4</td><td>9,774</td><td>9,440</td><td>8,391</td><td>9,594</td><td>9,306</td><td>10,023</td><td>4,189</td><td>3,955</td><td>3,979</td></tr>
<tr><td>Vermont</td><td>52.4</td><td>52.0</td><td>49.4</td><td>2,602</td><td>2,410</td><td>2,076</td><td>3,079</td><td>3,035</td><td>3,467</td><td>1,767</td><td>1,559</td><td>1,483</td></tr>
<tr><td>Virginia</td><td>651.5</td><td>637.5</td><td>624.7</td><td>48,270</td><td>46,001</td><td>41,514</td><td>47,017</td><td>47,095</td><td>50,091</td><td>14,233</td><td>12,969</td><td>12,648</td></tr>
<tr><td>Washington</td><td>523.3</td><td>520.6</td><td>483.3</td><td>31,444</td><td>30,060</td><td>26,596</td><td>42,168</td><td>41,906</td><td>47,845</td><td>13,895</td><td>12,960</td><td>12,567</td></tr>
<tr><td>West Virginia</td><td>143.1</td><td>142.5</td><td>143.1</td><td>7,005</td><td>6,779</td><td>6,110</td><td>5,226</td><td>4,830</td><td>5,016</td><td>3,749</td><td>3,594</td><td>3,343</td></tr>
<tr><td>Wisconsin.</td><td>412.1</td><td>412.9</td><td>405.6</td><td>19,633</td><td>18,881</td><td>17,171</td><td>34,711</td><td>34,153</td><td>35,890</td><td>12,531</td><td>12,090</td><td>12,575</td></tr>
<tr><td>Wyoming</td><td>64.6</td><td>63.5</td><td>60.7</td><td>2,946</td><td>2,780</td><td>2,397</td><td>2,934</td><td>2,712</td><td>2,357</td><td>1,505</td><td>1,217</td><td>964</td></tr>
</table>
|
| Geographic area | Nonfarm employment (BLS)¹ (1,000) | | | Earnings (BEA)² (mil. dol.) | | | Federal tax collections³ (mil. dol.) | | | State tax collections (mil. dol.) | | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | 2004 | 2003 | 2000 | 2004 | 2003 | 2001 | 2004 | 2003 | 2000 | 2004 | 2003 | 2000 |
| United States | 421,618.0 | 421,583.0 | 420,790.0 | 1,210,977 | 1,163,988 | 1,048,681 | 2,002,296 | 1,930,649 | 2,076,044 | 593,489 | 548,991 | 539,655 |
| Alabama | 359.9 | 358.4 | 351.7 | 18,184 | 17,701 | 15,838 | 18,489 | 17,907 | 18,869 | 7,018 | 6,416 | 6,438 |
| Alaska. | 81.2 | 81.6 | 74.4 | 5,852 | 5,595 | 4,938 | 3,267 | 3,249 | 2,977 | 1,288 | 1,120 | 1,423 |
| Arizona | 400.7 | 393.5 | 366.6 | 20,800 | 19,475 | 16,941 | 25,345 | 23,231 | 25,173 | 9,606 | 8,692 | 8,101 |
| Arkansas | 200.7 | 198.5 | 190.7 | 9,213 | 8,630 | 7,652 | 20.576 | 19,849 | 17,743 | 5,581 | 5,146 | 4,871 |
| California | 2,390.3 | 2,425.5 | 2,318.1 | 152,099 | 147,897 | 133,820 | 237,931 | 227,611 | 258,601 | 85,721 | 79,198 | 83,808 |
| Colorado | 359.2 | 356.2 | 337.0 | 20,657 | 19,791 | 17,512 | 34,661 | 33,739 | 37,371 | 7,051 | 6,636 | 7,075 |
| Connecticut | 242.4 | 246.0 | 241.8 | 14,763 | 14,155 | 13,233 | 41,909 | 38.746 | 40,344 | 10,291 | 9,509 | 10,171 |
| Delaware | 58.1 | 57.2 | 56.6 | 3,517 | 3,345 | 2,864 | 11,151 | 10,481 | 11,841 | 2,375 | 2,116 | 2,132 |
| District of Columbia | 230.6 | 230.6 | 223.9 | 24,414 | 23,713 | 21,015 | 16,931 | 19,413 | (°) | (NA) | (NA) | (NA) |
| Florida | 1,069.0 | 1,053.0 | 1,001.7 | 60,389 | 56,544 | 50,183 | 94,278 | 91,247 | 97,339 | 30,768 | 26,993 | 24,817 |
| Georgia | 638.4 | 632.4 | 597.2 | 35,786 | 34,360 | 30,184 | 59,084 | 56,847 | 61,040 | 14,571 | 13,412 | 13,511 |
| Hawaii | 120.1 | 119.1 | 114.6 | 9,922 | 9.317 | 8.086 | 8.395 | 5,262 | 6,237 | 3,849 | 3,570 | 3,335 |
| Idaho. | 114.2 | 113.0 | 108.8 | 5,257 | 4,948 | 4,410 | 6,480 | 6,757 | 7,330 | 2,648 | 2,344 | 2,377 |
| Illinois | 843.9 | 853.2 | 839.6 | 46,431 | 45,135 | 42,112 | 108,477 | 105.855 | 115,149 | 25,491 | 22.212 | 22,789 |
| Indiana | 426.1 | 422.6 | 410.3 | 19,286 | 18,502 | 17,041 | 32,192 | 33.066 | 33.891 | 11,957 | 11,216 | 10,104 |
| lowa | 244.3 | 244.8 | 243.3 | 10,972 | 10,532 | 9,670 | 14,543 | 14,559 | 14,646 | 5,133 | 4,922 | 5,185 |
| Kansas | 252.0 | 250.4 | 244.9 | 11,863 | 11,212 | 10,136 | 15,897 | 15,516 | 17,815 | 5,284 | 5,008 | 4,848 |
| Kentucky | 309.4 | 312.5 | 305.1 | 15,592 | 15,064 | 13,658 | 17,515 | 16,812 | 17,899 | 8,463 | 8,319 | 7,695 |
| Louisiana | 382.5 | 379.3 | 373.4 | 17,792 | 16,897 | 14,798 | 20,341 | 19,878 | 16,200 | 8,026 | 7,450 | 6,512 |
| Maine | 104.9 | 103.7 | 99.5 | 5,322 | 5,094 | 4,478 | 5,487 | 5,194 | 5,570 | 2,897 | 2,697 | 2,661 |
| Maryland | 465.7 | 467.1 | 452.5 | 33,523 | 32,992 | 29,615 | 40,893 | 38,251 | 57,985 | 12,315 | 10,980 | 10,354 |
| Massachusetts | 407.6 | 412.6 | 423.9 | 24,302 | 23.682 | 22,175 | 59.060 | 56,054 | 64,307 | 16,699 | 15,608 | 16.153 |
| Michigan | 682.1 | 685.4 | 681.6 | 33,667 | 33,099 | 30,723 | 63,745 | 64,764 | 75,674 | 24,061 | 22,748 | 22,756 |
| Minnesota | 411.1 | 412.5 | 407.6 | 19,921 | 19,137 | 17,359 | 58,068 | 57,906 | 55,241 | 14,735 | 13,981 | 13,339 |
| Mississippi | 242.5 | 240.8 | 233.8 | 11,596 | 10,984 | 9,664 | 8,951 | 9,014 | 9,759 | 5,125 | 4,999 | 4,712 |
| Missouri | 429.3 | 432.2 | 426.2 | 20,726 | 20,167 | 18,454 | 38,326 | 38,120 | 40,653 | 9,120 | 8,627 | 8,572 |
| Montana | 87.0 | 85.8 | 80.3 | 4,091 | 3.903 | 3.420 | 3,134 | 3,096 | 3,675 | 1,626 | 1,487 | 1,411 |
| Nebraska | 160.1 | 159.8 | 154.4 | 7,591 | 7,233 | 6,390 | 14,393 | 13,867 | 12,662 | 3,640 | 3,348 | 2,981 |
| Nevada | 138.5 | 134.9 | 121.7 | 8,909 | 8,141 | 7,014 | 13,294 | 13,170 | 11,892 | 4,739 | 4,129 | 3,717 |
| New Hampshire | 89.7 | 90.1 | 83.5 | 4,094 | 3,938 | 3,389 | 7,183 | 7,366 | 7,942 | 2,005 | 1,959 | 1,696 |
| New Jersey | 634.1 | 621.9 | 588.8 | 38,389 | 36,344 | 32,595 | 91,082 | 86,514 | 95,860 | 20,981 | 19,936 | 18,148 |
| New Mexico | 198.3 | 195.1 | 183.0 | 10,548 | 10,000 | 8,735 | 6,050 | 6,271 | 6,197 | 4,002 | 3,607 | 3,743 |
| New York | 1,483.3 | 1,487.8 | 1,467.7 | 85,597 | 82,207 | 76,268 | 171,949 | 168,462 | 191,362 | 45,834 | 42,253 | 41,736 |
| North Carolina | 650.7 | 641.4 | 622.2 | 36,755 | 34,551 | 30,617 | 53,979 | 48,365 | 44,947 | 16,576 | 15,849 | 15,315 |
| North Dakota | 74.6 | 75.3 | 73.0 | 3,370 | 3,201 | 2,747 | 2,825 | 2,721 | 2,873 | 1,229 | 1,178 | 1,172 |
| Ohio | 801.8 | 802.6 | 785.0 | 40,566 | 39,547 | 35,814 | 87,854 | 85,242 | 88,641 | 22,476 | 20,652 | 19,676 |
| Oklahoma | 301.6 | 295.8 | 287.7 | 15,359 | 14,673 | 13,429 | 20,419 | 19,635 | 19,113 | 6,427 | 5,906 | 5,840 |
| Oregon | 269.5 | 267.7 | 267.3 | 14,079 | 13,470 | 12,651 | 18,880 | 17.540 | 20,068 | 6,103 | 5,702 | 5,946 |
| Pennsylvania | 745.1 | 745.6 | 725.1 | 39,843 | 38,990 | 35,374 | 87,841 | 81,812 | 88,350 | 25,347 | 23,187 | 22,467 |
| Rhode Island | 65.8 | 66.2 | 64.3 | 4,459 | 4,329 | 3,954 | 8,545 | 8,664 | 8,258 | 2,409 | 2,257 | 2,035 |
| South Carolina | 327.5 | 326.1 | 322.8 | 17,192 | 16,401 | 14,904 | 15,357 | 14,999 | 16,455 | 6,804 | 6,353 | 6,381 |
| South Dakota | 74.3 | 74.3 | 70.3 | 3,295 | 3.115 | 2,780 | 3,294 | 3,375 | 4,111 | 1,063 | 1,013 | 927 |
| Tennessee | 414.0 | 411.1 | 399.0 | 19,385 | 18,513 | 16,587 | 36,802 | 35,251 | 36,710 | 9,536 | 8,812 | 7,740 |
| Texas | 1,655.6 | 1,646.1 | 1,561.9 | 83,934 | 81,112 | 71,197 | 152,691 | 141,935 | 152,583 | 30,752 | 29,099 | 27,424 |
| Utah | 198.7 | 196.6 | 185.4 | 9,774 | 9,440 | 8,391 | 9,594 | 9,306 | 10,023 | 4,189 | 3,955 | 3,979 |
| Vermont | 52.4 | 52.0 | 49.4 | 2,602 | 2,410 | 2,076 | 3,079 | 3,035 | 3,467 | 1,767 | 1,559 | 1,483 |
| Virginia | 651.5 | 637.5 | 624.7 | 48,270 | 46,001 | 41,514 | 47,017 | 47,095 | 50,091 | 14,233 | 12,969 | 12,648 |
| Washington | 523.3 | 520.6 | 483.3 | 31,444 | 30,060 | 26,596 | 42,168 | 41,906 | 47,845 | 13,895 | 12,960 | 12,567 |
| West Virginia | 143.1 | 142.5 | 143.1 | 7,005 | 6,779 | 6,110 | 5,226 | 4,830 | 5,016 | 3,749 | 3,594 | 3,343 |
| Wisconsin. | 412.1 | 412.9 | 405.6 | 19,633 | 18,881 | 17,171 | 34,711 | 34,153 | 35,890 | 12,531 | 12,090 | 12,575 |
| Wyoming | 64.6 | 63.5 | 60.7 | 2,946 | 2,780 | 2,397 | 2,934 | 2,712 | 2,357 | 1,505 | 1,217 | 964 |
|
./datasets/realWorld_datasets/tables/images/census_4_596.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--4--596--M0
|
What is the federal tax collection amount for the state of Alaska in 2004?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{3267}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Geographic area</td><td colspan=\"3\">Nonfarm employment (BLS)\u00b9 (1,000)</td><td colspan=\"3\">Earnings (BEA)\u00b2 (mil. dol.)</td><td colspan=\"3\">Federal tax collections\u00b3 (mil. dol.)</td><td colspan=\"3\">State tax collections (mil. dol.)</td></tr>\n<tr><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2001</td><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2000</td></tr>\n<tr><td>United States</td><td>421,618.0</td><td>421,583.0</td><td>420,790.0</td><td>1,210,977</td><td>1,163,988</td><td>1,048,681</td><td>2,002,296</td><td>1,930,649</td><td>2,076,044</td><td>593,489</td><td>548,991</td><td>539,655</td></tr>\n<tr><td>Alabama</td><td>359.9</td><td>358.4</td><td>351.7</td><td>18,184</td><td>17,701</td><td>15,838</td><td>18,489</td><td>17,907</td><td>18,869</td><td>7,018</td><td>6,416</td><td>6,438</td></tr>\n<tr><td>Alaska.</td><td>81.2</td><td>81.6</td><td>74.4</td><td>5,852</td><td>5,595</td><td>4,938</td><td>3,267</td><td>3,249</td><td>2,977</td><td>1,288</td><td>1,120</td><td>1,423</td></tr>\n<tr><td>Arizona</td><td>400.7</td><td>393.5</td><td>366.6</td><td>20,800</td><td>19,475</td><td>16,941</td><td>25,345</td><td>23,231</td><td>25,173</td><td>9,606</td><td>8,692</td><td>8,101</td></tr>\n<tr><td>Arkansas</td><td>200.7</td><td>198.5</td><td>190.7</td><td>9,213</td><td>8,630</td><td>7,652</td><td>20.576</td><td>19,849</td><td>17,743</td><td>5,581</td><td>5,146</td><td>4,871</td></tr>\n<tr><td>California</td><td>2,390.3</td><td>2,425.5</td><td>2,318.1</td><td>152,099</td><td>147,897</td><td>133,820</td><td>237,931</td><td>227,611</td><td>258,601</td><td>85,721</td><td>79,198</td><td>83,808</td></tr>\n<tr><td>Colorado</td><td>359.2</td><td>356.2</td><td>337.0</td><td>20,657</td><td>19,791</td><td>17,512</td><td>34,661</td><td>33,739</td><td>37,371</td><td>7,051</td><td>6,636</td><td>7,075</td></tr>\n<tr><td>Connecticut</td><td>242.4</td><td>246.0</td><td>241.8</td><td>14,763</td><td>14,155</td><td>13,233</td><td>41,909</td><td>38.746</td><td>40,344</td><td>10,291</td><td>9,509</td><td>10,171</td></tr>\n<tr><td>Delaware</td><td>58.1</td><td>57.2</td><td>56.6</td><td>3,517</td><td>3,345</td><td>2,864</td><td>11,151</td><td>10,481</td><td>11,841</td><td>2,375</td><td>2,116</td><td>2,132</td></tr>\n<tr><td>District of Columbia</td><td>230.6</td><td>230.6</td><td>223.9</td><td>24,414</td><td>23,713</td><td>21,015</td><td>16,931</td><td>19,413</td><td>(\u00b0)</td><td>(NA)</td><td>(NA)</td><td>(NA)</td></tr>\n<tr><td>Florida</td><td>1,069.0</td><td>1,053.0</td><td>1,001.7</td><td>60,389</td><td>56,544</td><td>50,183</td><td>94,278</td><td>91,247</td><td>97,339</td><td>30,768</td><td>26,993</td><td>24,817</td></tr>\n<tr><td>Georgia</td><td>638.4</td><td>632.4</td><td>597.2</td><td>35,786</td><td>34,360</td><td>30,184</td><td>59,084</td><td>56,847</td><td>61,040</td><td>14,571</td><td>13,412</td><td>13,511</td></tr>\n<tr><td>Hawaii</td><td>120.1</td><td>119.1</td><td>114.6</td><td>9,922</td><td>9.317</td><td>8.086</td><td>8.395</td><td>5,262</td><td>6,237</td><td>3,849</td><td>3,570</td><td>3,335</td></tr>\n<tr><td>Idaho.</td><td>114.2</td><td>113.0</td><td>108.8</td><td>5,257</td><td>4,948</td><td>4,410</td><td>6,480</td><td>6,757</td><td>7,330</td><td>2,648</td><td>2,344</td><td>2,377</td></tr>\n<tr><td>Illinois</td><td>843.9</td><td>853.2</td><td>839.6</td><td>46,431</td><td>45,135</td><td>42,112</td><td>108,477</td><td>105.855</td><td>115,149</td><td>25,491</td><td>22.212</td><td>22,789</td></tr>\n<tr><td>Indiana</td><td>426.1</td><td>422.6</td><td>410.3</td><td>19,286</td><td>18,502</td><td>17,041</td><td>32,192</td><td>33.066</td><td>33.891</td><td>11,957</td><td>11,216</td><td>10,104</td></tr>\n<tr><td>lowa</td><td>244.3</td><td>244.8</td><td>243.3</td><td>10,972</td><td>10,532</td><td>9,670</td><td>14,543</td><td>14,559</td><td>14,646</td><td>5,133</td><td>4,922</td><td>5,185</td></tr>\n<tr><td>Kansas</td><td>252.0</td><td>250.4</td><td>244.9</td><td>11,863</td><td>11,212</td><td>10,136</td><td>15,897</td><td>15,516</td><td>17,815</td><td>5,284</td><td>5,008</td><td>4,848</td></tr>\n<tr><td>Kentucky</td><td>309.4</td><td>312.5</td><td>305.1</td><td>15,592</td><td>15,064</td><td>13,658</td><td>17,515</td><td>16,812</td><td>17,899</td><td>8,463</td><td>8,319</td><td>7,695</td></tr>\n<tr><td>Louisiana</td><td>382.5</td><td>379.3</td><td>373.4</td><td>17,792</td><td>16,897</td><td>14,798</td><td>20,341</td><td>19,878</td><td>16,200</td><td>8,026</td><td>7,450</td><td>6,512</td></tr>\n<tr><td>Maine</td><td>104.9</td><td>103.7</td><td>99.5</td><td>5,322</td><td>5,094</td><td>4,478</td><td>5,487</td><td>5,194</td><td>5,570</td><td>2,897</td><td>2,697</td><td>2,661</td></tr>\n<tr><td>Maryland</td><td>465.7</td><td>467.1</td><td>452.5</td><td>33,523</td><td>32,992</td><td>29,615</td><td>40,893</td><td>38,251</td><td>57,985</td><td>12,315</td><td>10,980</td><td>10,354</td></tr>\n<tr><td>Massachusetts</td><td>407.6</td><td>412.6</td><td>423.9</td><td>24,302</td><td>23.682</td><td>22,175</td><td>59.060</td><td>56,054</td><td>64,307</td><td>16,699</td><td>15,608</td><td>16.153</td></tr>\n<tr><td>Michigan</td><td>682.1</td><td>685.4</td><td>681.6</td><td>33,667</td><td>33,099</td><td>30,723</td><td>63,745</td><td>64,764</td><td>75,674</td><td>24,061</td><td>22,748</td><td>22,756</td></tr>\n<tr><td>Minnesota</td><td>411.1</td><td>412.5</td><td>407.6</td><td>19,921</td><td>19,137</td><td>17,359</td><td>58,068</td><td>57,906</td><td>55,241</td><td>14,735</td><td>13,981</td><td>13,339</td></tr>\n<tr><td>Mississippi</td><td>242.5</td><td>240.8</td><td>233.8</td><td>11,596</td><td>10,984</td><td>9,664</td><td>8,951</td><td>9,014</td><td>9,759</td><td>5,125</td><td>4,999</td><td>4,712</td></tr>\n<tr><td>Missouri</td><td>429.3</td><td>432.2</td><td>426.2</td><td>20,726</td><td>20,167</td><td>18,454</td><td>38,326</td><td>38,120</td><td>40,653</td><td>9,120</td><td>8,627</td><td>8,572</td></tr>\n<tr><td>Montana</td><td>87.0</td><td>85.8</td><td>80.3</td><td>4,091</td><td>3.903</td><td>3.420</td><td>3,134</td><td>3,096</td><td>3,675</td><td>1,626</td><td>1,487</td><td>1,411</td></tr>\n<tr><td>Nebraska</td><td>160.1</td><td>159.8</td><td>154.4</td><td>7,591</td><td>7,233</td><td>6,390</td><td>14,393</td><td>13,867</td><td>12,662</td><td>3,640</td><td>3,348</td><td>2,981</td></tr>\n<tr><td>Nevada</td><td>138.5</td><td>134.9</td><td>121.7</td><td>8,909</td><td>8,141</td><td>7,014</td><td>13,294</td><td>13,170</td><td>11,892</td><td>4,739</td><td>4,129</td><td>3,717</td></tr>\n<tr><td>New Hampshire</td><td>89.7</td><td>90.1</td><td>83.5</td><td>4,094</td><td>3,938</td><td>3,389</td><td>7,183</td><td>7,366</td><td>7,942</td><td>2,005</td><td>1,959</td><td>1,696</td></tr>\n<tr><td>New Jersey</td><td>634.1</td><td>621.9</td><td>588.8</td><td>38,389</td><td>36,344</td><td>32,595</td><td>91,082</td><td>86,514</td><td>95,860</td><td>20,981</td><td>19,936</td><td>18,148</td></tr>\n<tr><td>New Mexico</td><td>198.3</td><td>195.1</td><td>183.0</td><td>10,548</td><td>10,000</td><td>8,735</td><td>6,050</td><td>6,271</td><td>6,197</td><td>4,002</td><td>3,607</td><td>3,743</td></tr>\n<tr><td>New York</td><td>1,483.3</td><td>1,487.8</td><td>1,467.7</td><td>85,597</td><td>82,207</td><td>76,268</td><td>171,949</td><td>168,462</td><td>191,362</td><td>45,834</td><td>42,253</td><td>41,736</td></tr>\n<tr><td>North Carolina</td><td>650.7</td><td>641.4</td><td>622.2</td><td>36,755</td><td>34,551</td><td>30,617</td><td>53,979</td><td>48,365</td><td>44,947</td><td>16,576</td><td>15,849</td><td>15,315</td></tr>\n<tr><td>North Dakota</td><td>74.6</td><td>75.3</td><td>73.0</td><td>3,370</td><td>3,201</td><td>2,747</td><td>2,825</td><td>2,721</td><td>2,873</td><td>1,229</td><td>1,178</td><td>1,172</td></tr>\n<tr><td>Ohio</td><td>801.8</td><td>802.6</td><td>785.0</td><td>40,566</td><td>39,547</td><td>35,814</td><td>87,854</td><td>85,242</td><td>88,641</td><td>22,476</td><td>20,652</td><td>19,676</td></tr>\n<tr><td>Oklahoma</td><td>301.6</td><td>295.8</td><td>287.7</td><td>15,359</td><td>14,673</td><td>13,429</td><td>20,419</td><td>19,635</td><td>19,113</td><td>6,427</td><td>5,906</td><td>5,840</td></tr>\n<tr><td>Oregon</td><td>269.5</td><td>267.7</td><td>267.3</td><td>14,079</td><td>13,470</td><td>12,651</td><td>18,880</td><td>17.540</td><td>20,068</td><td>6,103</td><td>5,702</td><td>5,946</td></tr>\n<tr><td>Pennsylvania</td><td>745.1</td><td>745.6</td><td>725.1</td><td>39,843</td><td>38,990</td><td>35,374</td><td>87,841</td><td>81,812</td><td>88,350</td><td>25,347</td><td>23,187</td><td>22,467</td></tr>\n<tr><td>Rhode Island</td><td>65.8</td><td>66.2</td><td>64.3</td><td>4,459</td><td>4,329</td><td>3,954</td><td>8,545</td><td>8,664</td><td>8,258</td><td>2,409</td><td>2,257</td><td>2,035</td></tr>\n<tr><td>South Carolina</td><td>327.5</td><td>326.1</td><td>322.8</td><td>17,192</td><td>16,401</td><td>14,904</td><td>15,357</td><td>14,999</td><td>16,455</td><td>6,804</td><td>6,353</td><td>6,381</td></tr>\n<tr><td>South Dakota</td><td>74.3</td><td>74.3</td><td>70.3</td><td>3,295</td><td>3.115</td><td>2,780</td><td>3,294</td><td>3,375</td><td>4,111</td><td>1,063</td><td>1,013</td><td>927</td></tr>\n<tr><td>Tennessee</td><td>414.0</td><td>411.1</td><td>399.0</td><td>19,385</td><td>18,513</td><td>16,587</td><td>36,802</td><td>35,251</td><td>36,710</td><td>9,536</td><td>8,812</td><td>7,740</td></tr>\n<tr><td>Texas</td><td>1,655.6</td><td>1,646.1</td><td>1,561.9</td><td>83,934</td><td>81,112</td><td>71,197</td><td>152,691</td><td>141,935</td><td>152,583</td><td>30,752</td><td>29,099</td><td>27,424</td></tr>\n<tr><td>Utah</td><td>198.7</td><td>196.6</td><td>185.4</td><td>9,774</td><td>9,440</td><td>8,391</td><td>9,594</td><td>9,306</td><td>10,023</td><td>4,189</td><td>3,955</td><td>3,979</td></tr>\n<tr><td>Vermont</td><td>52.4</td><td>52.0</td><td>49.4</td><td>2,602</td><td>2,410</td><td>2,076</td><td>3,079</td><td>3,035</td><td>3,467</td><td>1,767</td><td>1,559</td><td>1,483</td></tr>\n<tr><td>Virginia</td><td>651.5</td><td>637.5</td><td>624.7</td><td>48,270</td><td>46,001</td><td>41,514</td><td>47,017</td><td>47,095</td><td>50,091</td><td>14,233</td><td>12,969</td><td>12,648</td></tr>\n<tr><td>Washington</td><td>523.3</td><td>520.6</td><td>483.3</td><td>31,444</td><td>30,060</td><td>26,596</td><td>42,168</td><td>41,906</td><td>47,845</td><td>13,895</td><td>12,960</td><td>12,567</td></tr>\n<tr><td>West Virginia</td><td>143.1</td><td>142.5</td><td>143.1</td><td>7,005</td><td>6,779</td><td>6,110</td><td>5,226</td><td>4,830</td><td>5,016</td><td>3,749</td><td>3,594</td><td>3,343</td></tr>\n<tr><td>Wisconsin.</td><td>412.1</td><td>412.9</td><td>405.6</td><td>19,633</td><td>18,881</td><td>17,171</td><td>34,711</td><td>34,153</td><td>35,890</td><td>12,531</td><td>12,090</td><td>12,575</td></tr>\n<tr><td>Wyoming</td><td>64.6</td><td>63.5</td><td>60.7</td><td>2,946</td><td>2,780</td><td>2,397</td><td>2,934</td><td>2,712</td><td>2,357</td><td>1,505</td><td>1,217</td><td>964</td></tr>\n</table>` \n\nQuestion: `What is the federal tax collection amount for the state of Alaska in 2004?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Geographic area</td><td colspan=\"3\">Nonfarm employment (BLS)\u00b9 (1,000)</td><td colspan=\"3\">Earnings (BEA)\u00b2 (mil. dol.)</td><td colspan=\"3\">Federal tax collections\u00b3 (mil. dol.)</td><td colspan=\"3\">State tax collections (mil. dol.)</td></tr>\n<tr><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2001</td><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2000</td></tr>\n<tr><td>United States</td><td>421,618.0</td><td>421,583.0</td><td>420,790.0</td><td>1,210,977</td><td>1,163,988</td><td>1,048,681</td><td>2,002,296</td><td>1,930,649</td><td>2,076,044</td><td>593,489</td><td>548,991</td><td>539,655</td></tr>\n<tr><td>Alabama</td><td>359.9</td><td>358.4</td><td>351.7</td><td>18,184</td><td>17,701</td><td>15,838</td><td>18,489</td><td>17,907</td><td>18,869</td><td>7,018</td><td>6,416</td><td>6,438</td></tr>\n<tr><td>Alaska.</td><td>81.2</td><td>81.6</td><td>74.4</td><td>5,852</td><td>5,595</td><td>4,938</td><td>3,267</td><td>3,249</td><td>2,977</td><td>1,288</td><td>1,120</td><td>1,423</td></tr>\n<tr><td>Arizona</td><td>400.7</td><td>393.5</td><td>366.6</td><td>20,800</td><td>19,475</td><td>16,941</td><td>25,345</td><td>23,231</td><td>25,173</td><td>9,606</td><td>8,692</td><td>8,101</td></tr>\n<tr><td>Arkansas</td><td>200.7</td><td>198.5</td><td>190.7</td><td>9,213</td><td>8,630</td><td>7,652</td><td>20.576</td><td>19,849</td><td>17,743</td><td>5,581</td><td>5,146</td><td>4,871</td></tr>\n<tr><td>California</td><td>2,390.3</td><td>2,425.5</td><td>2,318.1</td><td>152,099</td><td>147,897</td><td>133,820</td><td>237,931</td><td>227,611</td><td>258,601</td><td>85,721</td><td>79,198</td><td>83,808</td></tr>\n<tr><td>Colorado</td><td>359.2</td><td>356.2</td><td>337.0</td><td>20,657</td><td>19,791</td><td>17,512</td><td>34,661</td><td>33,739</td><td>37,371</td><td>7,051</td><td>6,636</td><td>7,075</td></tr>\n<tr><td>Connecticut</td><td>242.4</td><td>246.0</td><td>241.8</td><td>14,763</td><td>14,155</td><td>13,233</td><td>41,909</td><td>38.746</td><td>40,344</td><td>10,291</td><td>9,509</td><td>10,171</td></tr>\n<tr><td>Delaware</td><td>58.1</td><td>57.2</td><td>56.6</td><td>3,517</td><td>3,345</td><td>2,864</td><td>11,151</td><td>10,481</td><td>11,841</td><td>2,375</td><td>2,116</td><td>2,132</td></tr>\n<tr><td>District of Columbia</td><td>230.6</td><td>230.6</td><td>223.9</td><td>24,414</td><td>23,713</td><td>21,015</td><td>16,931</td><td>19,413</td><td>(\u00b0)</td><td>(NA)</td><td>(NA)</td><td>(NA)</td></tr>\n<tr><td>Florida</td><td>1,069.0</td><td>1,053.0</td><td>1,001.7</td><td>60,389</td><td>56,544</td><td>50,183</td><td>94,278</td><td>91,247</td><td>97,339</td><td>30,768</td><td>26,993</td><td>24,817</td></tr>\n<tr><td>Georgia</td><td>638.4</td><td>632.4</td><td>597.2</td><td>35,786</td><td>34,360</td><td>30,184</td><td>59,084</td><td>56,847</td><td>61,040</td><td>14,571</td><td>13,412</td><td>13,511</td></tr>\n<tr><td>Hawaii</td><td>120.1</td><td>119.1</td><td>114.6</td><td>9,922</td><td>9.317</td><td>8.086</td><td>8.395</td><td>5,262</td><td>6,237</td><td>3,849</td><td>3,570</td><td>3,335</td></tr>\n<tr><td>Idaho.</td><td>114.2</td><td>113.0</td><td>108.8</td><td>5,257</td><td>4,948</td><td>4,410</td><td>6,480</td><td>6,757</td><td>7,330</td><td>2,648</td><td>2,344</td><td>2,377</td></tr>\n<tr><td>Illinois</td><td>843.9</td><td>853.2</td><td>839.6</td><td>46,431</td><td>45,135</td><td>42,112</td><td>108,477</td><td>105.855</td><td>115,149</td><td>25,491</td><td>22.212</td><td>22,789</td></tr>\n<tr><td>Indiana</td><td>426.1</td><td>422.6</td><td>410.3</td><td>19,286</td><td>18,502</td><td>17,041</td><td>32,192</td><td>33.066</td><td>33.891</td><td>11,957</td><td>11,216</td><td>10,104</td></tr>\n<tr><td>lowa</td><td>244.3</td><td>244.8</td><td>243.3</td><td>10,972</td><td>10,532</td><td>9,670</td><td>14,543</td><td>14,559</td><td>14,646</td><td>5,133</td><td>4,922</td><td>5,185</td></tr>\n<tr><td>Kansas</td><td>252.0</td><td>250.4</td><td>244.9</td><td>11,863</td><td>11,212</td><td>10,136</td><td>15,897</td><td>15,516</td><td>17,815</td><td>5,284</td><td>5,008</td><td>4,848</td></tr>\n<tr><td>Kentucky</td><td>309.4</td><td>312.5</td><td>305.1</td><td>15,592</td><td>15,064</td><td>13,658</td><td>17,515</td><td>16,812</td><td>17,899</td><td>8,463</td><td>8,319</td><td>7,695</td></tr>\n<tr><td>Louisiana</td><td>382.5</td><td>379.3</td><td>373.4</td><td>17,792</td><td>16,897</td><td>14,798</td><td>20,341</td><td>19,878</td><td>16,200</td><td>8,026</td><td>7,450</td><td>6,512</td></tr>\n<tr><td>Maine</td><td>104.9</td><td>103.7</td><td>99.5</td><td>5,322</td><td>5,094</td><td>4,478</td><td>5,487</td><td>5,194</td><td>5,570</td><td>2,897</td><td>2,697</td><td>2,661</td></tr>\n<tr><td>Maryland</td><td>465.7</td><td>467.1</td><td>452.5</td><td>33,523</td><td>32,992</td><td>29,615</td><td>40,893</td><td>38,251</td><td>57,985</td><td>12,315</td><td>10,980</td><td>10,354</td></tr>\n<tr><td>Massachusetts</td><td>407.6</td><td>412.6</td><td>423.9</td><td>24,302</td><td>23.682</td><td>22,175</td><td>59.060</td><td>56,054</td><td>64,307</td><td>16,699</td><td>15,608</td><td>16.153</td></tr>\n<tr><td>Michigan</td><td>682.1</td><td>685.4</td><td>681.6</td><td>33,667</td><td>33,099</td><td>30,723</td><td>63,745</td><td>64,764</td><td>75,674</td><td>24,061</td><td>22,748</td><td>22,756</td></tr>\n<tr><td>Minnesota</td><td>411.1</td><td>412.5</td><td>407.6</td><td>19,921</td><td>19,137</td><td>17,359</td><td>58,068</td><td>57,906</td><td>55,241</td><td>14,735</td><td>13,981</td><td>13,339</td></tr>\n<tr><td>Mississippi</td><td>242.5</td><td>240.8</td><td>233.8</td><td>11,596</td><td>10,984</td><td>9,664</td><td>8,951</td><td>9,014</td><td>9,759</td><td>5,125</td><td>4,999</td><td>4,712</td></tr>\n<tr><td>Missouri</td><td>429.3</td><td>432.2</td><td>426.2</td><td>20,726</td><td>20,167</td><td>18,454</td><td>38,326</td><td>38,120</td><td>40,653</td><td>9,120</td><td>8,627</td><td>8,572</td></tr>\n<tr><td>Montana</td><td>87.0</td><td>85.8</td><td>80.3</td><td>4,091</td><td>3.903</td><td>3.420</td><td>3,134</td><td>3,096</td><td>3,675</td><td>1,626</td><td>1,487</td><td>1,411</td></tr>\n<tr><td>Nebraska</td><td>160.1</td><td>159.8</td><td>154.4</td><td>7,591</td><td>7,233</td><td>6,390</td><td>14,393</td><td>13,867</td><td>12,662</td><td>3,640</td><td>3,348</td><td>2,981</td></tr>\n<tr><td>Nevada</td><td>138.5</td><td>134.9</td><td>121.7</td><td>8,909</td><td>8,141</td><td>7,014</td><td>13,294</td><td>13,170</td><td>11,892</td><td>4,739</td><td>4,129</td><td>3,717</td></tr>\n<tr><td>New Hampshire</td><td>89.7</td><td>90.1</td><td>83.5</td><td>4,094</td><td>3,938</td><td>3,389</td><td>7,183</td><td>7,366</td><td>7,942</td><td>2,005</td><td>1,959</td><td>1,696</td></tr>\n<tr><td>New Jersey</td><td>634.1</td><td>621.9</td><td>588.8</td><td>38,389</td><td>36,344</td><td>32,595</td><td>91,082</td><td>86,514</td><td>95,860</td><td>20,981</td><td>19,936</td><td>18,148</td></tr>\n<tr><td>New Mexico</td><td>198.3</td><td>195.1</td><td>183.0</td><td>10,548</td><td>10,000</td><td>8,735</td><td>6,050</td><td>6,271</td><td>6,197</td><td>4,002</td><td>3,607</td><td>3,743</td></tr>\n<tr><td>New York</td><td>1,483.3</td><td>1,487.8</td><td>1,467.7</td><td>85,597</td><td>82,207</td><td>76,268</td><td>171,949</td><td>168,462</td><td>191,362</td><td>45,834</td><td>42,253</td><td>41,736</td></tr>\n<tr><td>North Carolina</td><td>650.7</td><td>641.4</td><td>622.2</td><td>36,755</td><td>34,551</td><td>30,617</td><td>53,979</td><td>48,365</td><td>44,947</td><td>16,576</td><td>15,849</td><td>15,315</td></tr>\n<tr><td>North Dakota</td><td>74.6</td><td>75.3</td><td>73.0</td><td>3,370</td><td>3,201</td><td>2,747</td><td>2,825</td><td>2,721</td><td>2,873</td><td>1,229</td><td>1,178</td><td>1,172</td></tr>\n<tr><td>Ohio</td><td>801.8</td><td>802.6</td><td>785.0</td><td>40,566</td><td>39,547</td><td>35,814</td><td>87,854</td><td>85,242</td><td>88,641</td><td>22,476</td><td>20,652</td><td>19,676</td></tr>\n<tr><td>Oklahoma</td><td>301.6</td><td>295.8</td><td>287.7</td><td>15,359</td><td>14,673</td><td>13,429</td><td>20,419</td><td>19,635</td><td>19,113</td><td>6,427</td><td>5,906</td><td>5,840</td></tr>\n<tr><td>Oregon</td><td>269.5</td><td>267.7</td><td>267.3</td><td>14,079</td><td>13,470</td><td>12,651</td><td>18,880</td><td>17.540</td><td>20,068</td><td>6,103</td><td>5,702</td><td>5,946</td></tr>\n<tr><td>Pennsylvania</td><td>745.1</td><td>745.6</td><td>725.1</td><td>39,843</td><td>38,990</td><td>35,374</td><td>87,841</td><td>81,812</td><td>88,350</td><td>25,347</td><td>23,187</td><td>22,467</td></tr>\n<tr><td>Rhode Island</td><td>65.8</td><td>66.2</td><td>64.3</td><td>4,459</td><td>4,329</td><td>3,954</td><td>8,545</td><td>8,664</td><td>8,258</td><td>2,409</td><td>2,257</td><td>2,035</td></tr>\n<tr><td>South Carolina</td><td>327.5</td><td>326.1</td><td>322.8</td><td>17,192</td><td>16,401</td><td>14,904</td><td>15,357</td><td>14,999</td><td>16,455</td><td>6,804</td><td>6,353</td><td>6,381</td></tr>\n<tr><td>South Dakota</td><td>74.3</td><td>74.3</td><td>70.3</td><td>3,295</td><td>3.115</td><td>2,780</td><td>3,294</td><td>3,375</td><td>4,111</td><td>1,063</td><td>1,013</td><td>927</td></tr>\n<tr><td>Tennessee</td><td>414.0</td><td>411.1</td><td>399.0</td><td>19,385</td><td>18,513</td><td>16,587</td><td>36,802</td><td>35,251</td><td>36,710</td><td>9,536</td><td>8,812</td><td>7,740</td></tr>\n<tr><td>Texas</td><td>1,655.6</td><td>1,646.1</td><td>1,561.9</td><td>83,934</td><td>81,112</td><td>71,197</td><td>152,691</td><td>141,935</td><td>152,583</td><td>30,752</td><td>29,099</td><td>27,424</td></tr>\n<tr><td>Utah</td><td>198.7</td><td>196.6</td><td>185.4</td><td>9,774</td><td>9,440</td><td>8,391</td><td>9,594</td><td>9,306</td><td>10,023</td><td>4,189</td><td>3,955</td><td>3,979</td></tr>\n<tr><td>Vermont</td><td>52.4</td><td>52.0</td><td>49.4</td><td>2,602</td><td>2,410</td><td>2,076</td><td>3,079</td><td>3,035</td><td>3,467</td><td>1,767</td><td>1,559</td><td>1,483</td></tr>\n<tr><td>Virginia</td><td>651.5</td><td>637.5</td><td>624.7</td><td>48,270</td><td>46,001</td><td>41,514</td><td>47,017</td><td>47,095</td><td>50,091</td><td>14,233</td><td>12,969</td><td>12,648</td></tr>\n<tr><td>Washington</td><td>523.3</td><td>520.6</td><td>483.3</td><td>31,444</td><td>30,060</td><td>26,596</td><td>42,168</td><td>41,906</td><td>47,845</td><td>13,895</td><td>12,960</td><td>12,567</td></tr>\n<tr><td>West Virginia</td><td>143.1</td><td>142.5</td><td>143.1</td><td>7,005</td><td>6,779</td><td>6,110</td><td>5,226</td><td>4,830</td><td>5,016</td><td>3,749</td><td>3,594</td><td>3,343</td></tr>\n<tr><td>Wisconsin.</td><td>412.1</td><td>412.9</td><td>405.6</td><td>19,633</td><td>18,881</td><td>17,171</td><td>34,711</td><td>34,153</td><td>35,890</td><td>12,531</td><td>12,090</td><td>12,575</td></tr>\n<tr><td>Wyoming</td><td>64.6</td><td>63.5</td><td>60.7</td><td>2,946</td><td>2,780</td><td>2,397</td><td>2,934</td><td>2,712</td><td>2,357</td><td>1,505</td><td>1,217</td><td>964</td></tr>\n</table>` \n\nQuestion: `What is the federal tax collection amount for the state of Alaska in 2004?` \n\n # OUTPUT: \nAnswer:"}]
|
|
census--4--596
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10,11,12
0,Geographic area,"Nonfarm employment (BLS)1 (1,000)",__,__,Earnings (BEA)2 (mil. dol.),__,__,Federal tax collections3 (mil. dol.),__,__,State tax collections (mil. dol.),__,__
1,__,2004,2003,2000,2004,2003,2001,2004,2003,2000,2004,2003,2000
2,United States,"421,618.0","421,583.0","420,790.0","1,210,977","1,163,988","1,048,681","2,002,296","1,930,649","2,076,044","593,489","548,991","539,655"
3,Alabama,359.9,358.4,351.7,"18,184","17,701","15,838","18,489","17,907","18,869","7,018","6,416","6,438"
4,Alaska,81.2,81.6,74.4,"5,852","5,595","4,938","3,267","3,249","2,977","1,288","1,120","1,423"
5,Arizona,400.7,393.5,366.6,"20,800","19,475","16,941","25,345","23,231","25,173","9,606","8,692","8,101"
6,Arkansas,200.7,198.5,190.7,"9,213","8,630","7,652","20,576","19,849","17,743","5,581","5,146","4,871"
7,California,"2,390.3","2,425.5","2,318.1","152,099","147,897","133,820","237,931","227,611","258,601","85,721","79,198","83,808"
8,Colorado,359.2,356.2,337.0,"20,657","19,791","17,512","34,661","33,739","37,371","7,051","6,636","7,075"
9,Connecticut,242.4,246.0,241.8,"14,763","14,155","13,233","41,909","38,746","40,344","10,291","9,509","10,171"
10,Delaware,58.1,57.2,56.6,"3,517","3,345","2,864","11,151","10,481","11,841","2,375","2,116","2,132"
11,District of Columbia,230.6,230.6,223.9,"24,414","23,713","21,015","16,931","19,413",(5),(NA),(NA),(NA)
12,Florida,"1,069.0","1,053.0","1,001.7","60,389","56,544","50,183","94,278","91,247","97,339","30,768","26,993","24,817"
13,Georgia,638.4,632.4,597.2,"35,786","34,360","30,184","59,084","56,847","61,040","14,571","13,412","13,511"
14,Hawaii .,120.1,119.1,114.6,"9,922","9,317","8,086","8,395","5,262","6,237","3,849","3,570","3,335"
15,Idaho.,114.2,113.0,108.8,"5,257","4,948","4,410","6,480","6,757","7,330","2,648","2,344","2,377"
16,Illinois,843.9,853.2,839.6,"46,431","45,135","42,112","108,477","105,855","115,149","25,491","22,212","22,789"
17,Indiana,426.1,422.6,410.3,"19,286","18,502","17,041","32,192","33,066","33,891","11,957","11,216","10,104"
18,lowa,244.3,244.8,243.3,"10,972","10,532","9,670","14,543","14,559","14,646","5,133","4,922","5,185"
19,Kansas,252.0,250.4,244.9,"11,863","11,212","10,136","15,897","15,516","17,815","5,284","5,008","4,848"
20,Kentucky,309.4,312.5,305.1,"15,592","15,064","13,658","17,515","16,812","17,899","8,463","8,319","7,695"
21,Louisiana,382.5,379.3,373.4,"17,792","16,897","14,798","20,341","19,878","16,200","8,026","7,450","6,512"
22,Maine,104.9,103.7,99.5,"5,322","5,094","4,478","5,487","5,194","5,570","2,897","2,697","2,661"
23,Maryland,465.7,467.1,452.5,"33,523","32,992","29,615","40,893","38,251","57,985","12,315","10,980","10,354"
24,Massachusetts,407.6,412.6,423.9,"24,302","23,682","22,175","59,060","56,054","64,307","16,699","15,608","16,153"
25,Michigan,682.1,685.4,681.6,"33,667","33,099","30,723","63,745","64,764","75,674","24,061","22,748","22,756"
26,Minnesota,411.1,412.5,407.6,"19,921","19,137","17,359","58,068","57,906","55,241","14,735","13,981","13,339"
27,Mississippi,242.5,240.8,233.8,"11,596","10,984","9,664","8,951","9,014","9,759","5,125","4,999","4,712"
28,Missouri,429.3,432.2,426.2,"20,726","20,167","18,454","38,326","38,120","40,653","9,120","8,627","8,572"
29,Montana,87.0,85.8,80.3,"4,091","3,903","3,420","3,134","3,096","3,675","1,626","1,487","1,411"
30,Nebraska,160.1,159.8,154.4,"7,591","7,233","6,390","14,393","13,867","12,662","3,640","3,348","2,981"
31,Nevada,138.5,134.9,121.7,"8,909","8,141","7,014","13,294","13,170","11,892","4,739","4,129","3,717"
32,New Hampshire.,89.7,90.1,83.5,"4,094","3,938","3,389","7,183","7,366","7,942","2,005","1,959","1,696"
33,New Jersey,634.1,621.9,588.8,"38,389","36,344","32,595","91,082","86,514","95,860","20,981","19,936","18,148"
34,New Mexico,198.3,195.1,183.0,"10,548","10,000","8,735","6,050",6.271,"6,197","4,002","3,607","3,743"
35,New York .,"1,483.3","1,487.8","1,467.7","85,597","82,207","76,268","171,949","168,462","191,362","45,834","42,253","41,736"
36,North Carolina.,650.7,641.4,622.2,"36,755","34,551","30,617","53,979","48,365","44,947","16,576","15,849","15,315"
37,North Dakota,74.6,75.3,73.0,"3,370","3,201","2,747","2,825","2,721","2,873","1,229","1,178","1,172"
38,Ohio,801.8,802.6,785.0,"40,566","39,547","35,814","87,854","85,242","88,641","22,476","20,652","19,676"
39,Oklahoma,301.6,295.8,287.7,"15,359","14,673","13,429","20,419","19,635","19,113","6,427","5,906","5,840"
40,Oregon,269.5,267.7,267.3,"14,079","13,470","12,651","18,880","17,540","20,068","6,103","5,702","5,946"
41,Pennsylvania,745.1,745.6,725.1,"39,843","38,990","35,374","87,841","81,812","88,350","25,347","23,187","22,467"
42,Rhode Island,65.8,66.2,64.3,"4,459","4,329","3,954","8,545","8,664","8,258","2,409","2,257","2,035"
43,South Carolina,327.5,326.1,322.8,"17,192","16,401","14,904","15,357","14,999","16,455","6,804","6,353","6,381"
44,South Dakota,74.3,74.3,70.3,"3,295","3,115","2,780","3,294","3,375","4,111","1,063","1,013",927
45,Tennessee,414.0,411.1,399.0,"19,385","18,513","16,587","36,802","35,251","36,710","9,536","8,812","7,740"
46,Texas,"1,655.6","1,646.1","1,561.9","83,934","81,112","71,197","152,691","141,935","152,583","30,752","29,099","27,424"
47,Utah,198.7,196.6,185.4,"9,774","9,440","8,391","9,594","9,306","10,023","4,189","3,955","3,979"
48,Vermont,52.4,52.0,49.4,"2,602","2,410","2,076","3,079","3,035","3,467","1,767","1,559","1,483"
49,Virginia,651.5,637.5,624.7,"48,270","46,001","41,514","47,017","47,095","50,091","14,233","12,969","12,648"
50,Washington,523.3,520.6,483.3,"31,444","30,060","26,596","42,168","41,906","47,845","13,895","12,960","12,567"
51,West Virginia,143.1,142.5,143.1,"7,005","6,779","6,110","5,226","4,830","5,016","3,749",3.594,"3,343"
52,Wisconsin.,412.1,412.9,405.6,"19,633","18,881","17,171","34,711","34,153","35,890","12,531","12,090","12,575"
53,Wyoming,64.6,63.5,60.7,"2,946","2,780","2,397","2,934","2,712","2,357","1,505","1,217",964
|
<table id="0-1">
<tr><td rowspan="2">Geographic area</td><td colspan="3">Nonfarm employment (BLS)¹ (1,000)</td><td colspan="3">Earnings (BEA)² (mil. dol.)</td><td colspan="3">Federal tax collections³ (mil. dol.)</td><td colspan="3">State tax collections (mil. dol.)</td></tr>
<tr><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2001</td><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2000</td></tr>
<tr><td>United States</td><td>421,618.0</td><td>421,583.0</td><td>420,790.0</td><td>1,210,977</td><td>1,163,988</td><td>1,048,681</td><td>2,002,296</td><td>1,930,649</td><td>2,076,044</td><td>593,489</td><td>548,991</td><td>539,655</td></tr>
<tr><td>Alabama</td><td>359.9</td><td>358.4</td><td>351.7</td><td>18,184</td><td>17,701</td><td>15,838</td><td>18,489</td><td>17,907</td><td>18,869</td><td>7,018</td><td>6,416</td><td>6,438</td></tr>
<tr><td>Alaska.</td><td>81.2</td><td>81.6</td><td>74.4</td><td>5,852</td><td>5,595</td><td>4,938</td><td>3,267</td><td>3,249</td><td>2,977</td><td>1,288</td><td>1,120</td><td>1,423</td></tr>
<tr><td>Arizona</td><td>400.7</td><td>393.5</td><td>366.6</td><td>20,800</td><td>19,475</td><td>16,941</td><td>25,345</td><td>23,231</td><td>25,173</td><td>9,606</td><td>8,692</td><td>8,101</td></tr>
<tr><td>Arkansas</td><td>200.7</td><td>198.5</td><td>190.7</td><td>9,213</td><td>8,630</td><td>7,652</td><td>20.576</td><td>19,849</td><td>17,743</td><td>5,581</td><td>5,146</td><td>4,871</td></tr>
<tr><td>California</td><td>2,390.3</td><td>2,425.5</td><td>2,318.1</td><td>152,099</td><td>147,897</td><td>133,820</td><td>237,931</td><td>227,611</td><td>258,601</td><td>85,721</td><td>79,198</td><td>83,808</td></tr>
<tr><td>Colorado</td><td>359.2</td><td>356.2</td><td>337.0</td><td>20,657</td><td>19,791</td><td>17,512</td><td>34,661</td><td>33,739</td><td>37,371</td><td>7,051</td><td>6,636</td><td>7,075</td></tr>
<tr><td>Connecticut</td><td>242.4</td><td>246.0</td><td>241.8</td><td>14,763</td><td>14,155</td><td>13,233</td><td>41,909</td><td>38.746</td><td>40,344</td><td>10,291</td><td>9,509</td><td>10,171</td></tr>
<tr><td>Delaware</td><td>58.1</td><td>57.2</td><td>56.6</td><td>3,517</td><td>3,345</td><td>2,864</td><td>11,151</td><td>10,481</td><td>11,841</td><td>2,375</td><td>2,116</td><td>2,132</td></tr>
<tr><td>District of Columbia</td><td>230.6</td><td>230.6</td><td>223.9</td><td>24,414</td><td>23,713</td><td>21,015</td><td>16,931</td><td>19,413</td><td>(°)</td><td>(NA)</td><td>(NA)</td><td>(NA)</td></tr>
<tr><td>Florida</td><td>1,069.0</td><td>1,053.0</td><td>1,001.7</td><td>60,389</td><td>56,544</td><td>50,183</td><td>94,278</td><td>91,247</td><td>97,339</td><td>30,768</td><td>26,993</td><td>24,817</td></tr>
<tr><td>Georgia</td><td>638.4</td><td>632.4</td><td>597.2</td><td>35,786</td><td>34,360</td><td>30,184</td><td>59,084</td><td>56,847</td><td>61,040</td><td>14,571</td><td>13,412</td><td>13,511</td></tr>
<tr><td>Hawaii</td><td>120.1</td><td>119.1</td><td>114.6</td><td>9,922</td><td>9.317</td><td>8.086</td><td>8.395</td><td>5,262</td><td>6,237</td><td>3,849</td><td>3,570</td><td>3,335</td></tr>
<tr><td>Idaho.</td><td>114.2</td><td>113.0</td><td>108.8</td><td>5,257</td><td>4,948</td><td>4,410</td><td>6,480</td><td>6,757</td><td>7,330</td><td>2,648</td><td>2,344</td><td>2,377</td></tr>
<tr><td>Illinois</td><td>843.9</td><td>853.2</td><td>839.6</td><td>46,431</td><td>45,135</td><td>42,112</td><td>108,477</td><td>105.855</td><td>115,149</td><td>25,491</td><td>22.212</td><td>22,789</td></tr>
<tr><td>Indiana</td><td>426.1</td><td>422.6</td><td>410.3</td><td>19,286</td><td>18,502</td><td>17,041</td><td>32,192</td><td>33.066</td><td>33.891</td><td>11,957</td><td>11,216</td><td>10,104</td></tr>
<tr><td>lowa</td><td>244.3</td><td>244.8</td><td>243.3</td><td>10,972</td><td>10,532</td><td>9,670</td><td>14,543</td><td>14,559</td><td>14,646</td><td>5,133</td><td>4,922</td><td>5,185</td></tr>
<tr><td>Kansas</td><td>252.0</td><td>250.4</td><td>244.9</td><td>11,863</td><td>11,212</td><td>10,136</td><td>15,897</td><td>15,516</td><td>17,815</td><td>5,284</td><td>5,008</td><td>4,848</td></tr>
<tr><td>Kentucky</td><td>309.4</td><td>312.5</td><td>305.1</td><td>15,592</td><td>15,064</td><td>13,658</td><td>17,515</td><td>16,812</td><td>17,899</td><td>8,463</td><td>8,319</td><td>7,695</td></tr>
<tr><td>Louisiana</td><td>382.5</td><td>379.3</td><td>373.4</td><td>17,792</td><td>16,897</td><td>14,798</td><td>20,341</td><td>19,878</td><td>16,200</td><td>8,026</td><td>7,450</td><td>6,512</td></tr>
<tr><td>Maine</td><td>104.9</td><td>103.7</td><td>99.5</td><td>5,322</td><td>5,094</td><td>4,478</td><td>5,487</td><td>5,194</td><td>5,570</td><td>2,897</td><td>2,697</td><td>2,661</td></tr>
<tr><td>Maryland</td><td>465.7</td><td>467.1</td><td>452.5</td><td>33,523</td><td>32,992</td><td>29,615</td><td>40,893</td><td>38,251</td><td>57,985</td><td>12,315</td><td>10,980</td><td>10,354</td></tr>
<tr><td>Massachusetts</td><td>407.6</td><td>412.6</td><td>423.9</td><td>24,302</td><td>23.682</td><td>22,175</td><td>59.060</td><td>56,054</td><td>64,307</td><td>16,699</td><td>15,608</td><td>16.153</td></tr>
<tr><td>Michigan</td><td>682.1</td><td>685.4</td><td>681.6</td><td>33,667</td><td>33,099</td><td>30,723</td><td>63,745</td><td>64,764</td><td>75,674</td><td>24,061</td><td>22,748</td><td>22,756</td></tr>
<tr><td>Minnesota</td><td>411.1</td><td>412.5</td><td>407.6</td><td>19,921</td><td>19,137</td><td>17,359</td><td>58,068</td><td>57,906</td><td>55,241</td><td>14,735</td><td>13,981</td><td>13,339</td></tr>
<tr><td>Mississippi</td><td>242.5</td><td>240.8</td><td>233.8</td><td>11,596</td><td>10,984</td><td>9,664</td><td>8,951</td><td>9,014</td><td>9,759</td><td>5,125</td><td>4,999</td><td>4,712</td></tr>
<tr><td>Missouri</td><td>429.3</td><td>432.2</td><td>426.2</td><td>20,726</td><td>20,167</td><td>18,454</td><td>38,326</td><td>38,120</td><td>40,653</td><td>9,120</td><td>8,627</td><td>8,572</td></tr>
<tr><td>Montana</td><td>87.0</td><td>85.8</td><td>80.3</td><td>4,091</td><td>3.903</td><td>3.420</td><td>3,134</td><td>3,096</td><td>3,675</td><td>1,626</td><td>1,487</td><td>1,411</td></tr>
<tr><td>Nebraska</td><td>160.1</td><td>159.8</td><td>154.4</td><td>7,591</td><td>7,233</td><td>6,390</td><td>14,393</td><td>13,867</td><td>12,662</td><td>3,640</td><td>3,348</td><td>2,981</td></tr>
<tr><td>Nevada</td><td>138.5</td><td>134.9</td><td>121.7</td><td>8,909</td><td>8,141</td><td>7,014</td><td>13,294</td><td>13,170</td><td>11,892</td><td>4,739</td><td>4,129</td><td>3,717</td></tr>
<tr><td>New Hampshire</td><td>89.7</td><td>90.1</td><td>83.5</td><td>4,094</td><td>3,938</td><td>3,389</td><td>7,183</td><td>7,366</td><td>7,942</td><td>2,005</td><td>1,959</td><td>1,696</td></tr>
<tr><td>New Jersey</td><td>634.1</td><td>621.9</td><td>588.8</td><td>38,389</td><td>36,344</td><td>32,595</td><td>91,082</td><td>86,514</td><td>95,860</td><td>20,981</td><td>19,936</td><td>18,148</td></tr>
<tr><td>New Mexico</td><td>198.3</td><td>195.1</td><td>183.0</td><td>10,548</td><td>10,000</td><td>8,735</td><td>6,050</td><td>6,271</td><td>6,197</td><td>4,002</td><td>3,607</td><td>3,743</td></tr>
<tr><td>New York</td><td>1,483.3</td><td>1,487.8</td><td>1,467.7</td><td>85,597</td><td>82,207</td><td>76,268</td><td>171,949</td><td>168,462</td><td>191,362</td><td>45,834</td><td>42,253</td><td>41,736</td></tr>
<tr><td>North Carolina</td><td>650.7</td><td>641.4</td><td>622.2</td><td>36,755</td><td>34,551</td><td>30,617</td><td>53,979</td><td>48,365</td><td>44,947</td><td>16,576</td><td>15,849</td><td>15,315</td></tr>
<tr><td>North Dakota</td><td>74.6</td><td>75.3</td><td>73.0</td><td>3,370</td><td>3,201</td><td>2,747</td><td>2,825</td><td>2,721</td><td>2,873</td><td>1,229</td><td>1,178</td><td>1,172</td></tr>
<tr><td>Ohio</td><td>801.8</td><td>802.6</td><td>785.0</td><td>40,566</td><td>39,547</td><td>35,814</td><td>87,854</td><td>85,242</td><td>88,641</td><td>22,476</td><td>20,652</td><td>19,676</td></tr>
<tr><td>Oklahoma</td><td>301.6</td><td>295.8</td><td>287.7</td><td>15,359</td><td>14,673</td><td>13,429</td><td>20,419</td><td>19,635</td><td>19,113</td><td>6,427</td><td>5,906</td><td>5,840</td></tr>
<tr><td>Oregon</td><td>269.5</td><td>267.7</td><td>267.3</td><td>14,079</td><td>13,470</td><td>12,651</td><td>18,880</td><td>17.540</td><td>20,068</td><td>6,103</td><td>5,702</td><td>5,946</td></tr>
<tr><td>Pennsylvania</td><td>745.1</td><td>745.6</td><td>725.1</td><td>39,843</td><td>38,990</td><td>35,374</td><td>87,841</td><td>81,812</td><td>88,350</td><td>25,347</td><td>23,187</td><td>22,467</td></tr>
<tr><td>Rhode Island</td><td>65.8</td><td>66.2</td><td>64.3</td><td>4,459</td><td>4,329</td><td>3,954</td><td>8,545</td><td>8,664</td><td>8,258</td><td>2,409</td><td>2,257</td><td>2,035</td></tr>
<tr><td>South Carolina</td><td>327.5</td><td>326.1</td><td>322.8</td><td>17,192</td><td>16,401</td><td>14,904</td><td>15,357</td><td>14,999</td><td>16,455</td><td>6,804</td><td>6,353</td><td>6,381</td></tr>
<tr><td>South Dakota</td><td>74.3</td><td>74.3</td><td>70.3</td><td>3,295</td><td>3.115</td><td>2,780</td><td>3,294</td><td>3,375</td><td>4,111</td><td>1,063</td><td>1,013</td><td>927</td></tr>
<tr><td>Tennessee</td><td>414.0</td><td>411.1</td><td>399.0</td><td>19,385</td><td>18,513</td><td>16,587</td><td>36,802</td><td>35,251</td><td>36,710</td><td>9,536</td><td>8,812</td><td>7,740</td></tr>
<tr><td>Texas</td><td>1,655.6</td><td>1,646.1</td><td>1,561.9</td><td>83,934</td><td>81,112</td><td>71,197</td><td>152,691</td><td>141,935</td><td>152,583</td><td>30,752</td><td>29,099</td><td>27,424</td></tr>
<tr><td>Utah</td><td>198.7</td><td>196.6</td><td>185.4</td><td>9,774</td><td>9,440</td><td>8,391</td><td>9,594</td><td>9,306</td><td>10,023</td><td>4,189</td><td>3,955</td><td>3,979</td></tr>
<tr><td>Vermont</td><td>52.4</td><td>52.0</td><td>49.4</td><td>2,602</td><td>2,410</td><td>2,076</td><td>3,079</td><td>3,035</td><td>3,467</td><td>1,767</td><td>1,559</td><td>1,483</td></tr>
<tr><td>Virginia</td><td>651.5</td><td>637.5</td><td>624.7</td><td>48,270</td><td>46,001</td><td>41,514</td><td>47,017</td><td>47,095</td><td>50,091</td><td>14,233</td><td>12,969</td><td>12,648</td></tr>
<tr><td>Washington</td><td>523.3</td><td>520.6</td><td>483.3</td><td>31,444</td><td>30,060</td><td>26,596</td><td>42,168</td><td>41,906</td><td>47,845</td><td>13,895</td><td>12,960</td><td>12,567</td></tr>
<tr><td>West Virginia</td><td>143.1</td><td>142.5</td><td>143.1</td><td>7,005</td><td>6,779</td><td>6,110</td><td>5,226</td><td>4,830</td><td>5,016</td><td>3,749</td><td>3,594</td><td>3,343</td></tr>
<tr><td>Wisconsin.</td><td>412.1</td><td>412.9</td><td>405.6</td><td>19,633</td><td>18,881</td><td>17,171</td><td>34,711</td><td>34,153</td><td>35,890</td><td>12,531</td><td>12,090</td><td>12,575</td></tr>
<tr><td>Wyoming</td><td>64.6</td><td>63.5</td><td>60.7</td><td>2,946</td><td>2,780</td><td>2,397</td><td>2,934</td><td>2,712</td><td>2,357</td><td>1,505</td><td>1,217</td><td>964</td></tr>
</table>
|
| Geographic area | Nonfarm employment (BLS)¹ (1,000) | | | Earnings (BEA)² (mil. dol.) | | | Federal tax collections³ (mil. dol.) | | | State tax collections (mil. dol.) | | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | 2004 | 2003 | 2000 | 2004 | 2003 | 2001 | 2004 | 2003 | 2000 | 2004 | 2003 | 2000 |
| United States | 421,618.0 | 421,583.0 | 420,790.0 | 1,210,977 | 1,163,988 | 1,048,681 | 2,002,296 | 1,930,649 | 2,076,044 | 593,489 | 548,991 | 539,655 |
| Alabama | 359.9 | 358.4 | 351.7 | 18,184 | 17,701 | 15,838 | 18,489 | 17,907 | 18,869 | 7,018 | 6,416 | 6,438 |
| Alaska. | 81.2 | 81.6 | 74.4 | 5,852 | 5,595 | 4,938 | 3,267 | 3,249 | 2,977 | 1,288 | 1,120 | 1,423 |
| Arizona | 400.7 | 393.5 | 366.6 | 20,800 | 19,475 | 16,941 | 25,345 | 23,231 | 25,173 | 9,606 | 8,692 | 8,101 |
| Arkansas | 200.7 | 198.5 | 190.7 | 9,213 | 8,630 | 7,652 | 20.576 | 19,849 | 17,743 | 5,581 | 5,146 | 4,871 |
| California | 2,390.3 | 2,425.5 | 2,318.1 | 152,099 | 147,897 | 133,820 | 237,931 | 227,611 | 258,601 | 85,721 | 79,198 | 83,808 |
| Colorado | 359.2 | 356.2 | 337.0 | 20,657 | 19,791 | 17,512 | 34,661 | 33,739 | 37,371 | 7,051 | 6,636 | 7,075 |
| Connecticut | 242.4 | 246.0 | 241.8 | 14,763 | 14,155 | 13,233 | 41,909 | 38.746 | 40,344 | 10,291 | 9,509 | 10,171 |
| Delaware | 58.1 | 57.2 | 56.6 | 3,517 | 3,345 | 2,864 | 11,151 | 10,481 | 11,841 | 2,375 | 2,116 | 2,132 |
| District of Columbia | 230.6 | 230.6 | 223.9 | 24,414 | 23,713 | 21,015 | 16,931 | 19,413 | (°) | (NA) | (NA) | (NA) |
| Florida | 1,069.0 | 1,053.0 | 1,001.7 | 60,389 | 56,544 | 50,183 | 94,278 | 91,247 | 97,339 | 30,768 | 26,993 | 24,817 |
| Georgia | 638.4 | 632.4 | 597.2 | 35,786 | 34,360 | 30,184 | 59,084 | 56,847 | 61,040 | 14,571 | 13,412 | 13,511 |
| Hawaii | 120.1 | 119.1 | 114.6 | 9,922 | 9.317 | 8.086 | 8.395 | 5,262 | 6,237 | 3,849 | 3,570 | 3,335 |
| Idaho. | 114.2 | 113.0 | 108.8 | 5,257 | 4,948 | 4,410 | 6,480 | 6,757 | 7,330 | 2,648 | 2,344 | 2,377 |
| Illinois | 843.9 | 853.2 | 839.6 | 46,431 | 45,135 | 42,112 | 108,477 | 105.855 | 115,149 | 25,491 | 22.212 | 22,789 |
| Indiana | 426.1 | 422.6 | 410.3 | 19,286 | 18,502 | 17,041 | 32,192 | 33.066 | 33.891 | 11,957 | 11,216 | 10,104 |
| lowa | 244.3 | 244.8 | 243.3 | 10,972 | 10,532 | 9,670 | 14,543 | 14,559 | 14,646 | 5,133 | 4,922 | 5,185 |
| Kansas | 252.0 | 250.4 | 244.9 | 11,863 | 11,212 | 10,136 | 15,897 | 15,516 | 17,815 | 5,284 | 5,008 | 4,848 |
| Kentucky | 309.4 | 312.5 | 305.1 | 15,592 | 15,064 | 13,658 | 17,515 | 16,812 | 17,899 | 8,463 | 8,319 | 7,695 |
| Louisiana | 382.5 | 379.3 | 373.4 | 17,792 | 16,897 | 14,798 | 20,341 | 19,878 | 16,200 | 8,026 | 7,450 | 6,512 |
| Maine | 104.9 | 103.7 | 99.5 | 5,322 | 5,094 | 4,478 | 5,487 | 5,194 | 5,570 | 2,897 | 2,697 | 2,661 |
| Maryland | 465.7 | 467.1 | 452.5 | 33,523 | 32,992 | 29,615 | 40,893 | 38,251 | 57,985 | 12,315 | 10,980 | 10,354 |
| Massachusetts | 407.6 | 412.6 | 423.9 | 24,302 | 23.682 | 22,175 | 59.060 | 56,054 | 64,307 | 16,699 | 15,608 | 16.153 |
| Michigan | 682.1 | 685.4 | 681.6 | 33,667 | 33,099 | 30,723 | 63,745 | 64,764 | 75,674 | 24,061 | 22,748 | 22,756 |
| Minnesota | 411.1 | 412.5 | 407.6 | 19,921 | 19,137 | 17,359 | 58,068 | 57,906 | 55,241 | 14,735 | 13,981 | 13,339 |
| Mississippi | 242.5 | 240.8 | 233.8 | 11,596 | 10,984 | 9,664 | 8,951 | 9,014 | 9,759 | 5,125 | 4,999 | 4,712 |
| Missouri | 429.3 | 432.2 | 426.2 | 20,726 | 20,167 | 18,454 | 38,326 | 38,120 | 40,653 | 9,120 | 8,627 | 8,572 |
| Montana | 87.0 | 85.8 | 80.3 | 4,091 | 3.903 | 3.420 | 3,134 | 3,096 | 3,675 | 1,626 | 1,487 | 1,411 |
| Nebraska | 160.1 | 159.8 | 154.4 | 7,591 | 7,233 | 6,390 | 14,393 | 13,867 | 12,662 | 3,640 | 3,348 | 2,981 |
| Nevada | 138.5 | 134.9 | 121.7 | 8,909 | 8,141 | 7,014 | 13,294 | 13,170 | 11,892 | 4,739 | 4,129 | 3,717 |
| New Hampshire | 89.7 | 90.1 | 83.5 | 4,094 | 3,938 | 3,389 | 7,183 | 7,366 | 7,942 | 2,005 | 1,959 | 1,696 |
| New Jersey | 634.1 | 621.9 | 588.8 | 38,389 | 36,344 | 32,595 | 91,082 | 86,514 | 95,860 | 20,981 | 19,936 | 18,148 |
| New Mexico | 198.3 | 195.1 | 183.0 | 10,548 | 10,000 | 8,735 | 6,050 | 6,271 | 6,197 | 4,002 | 3,607 | 3,743 |
| New York | 1,483.3 | 1,487.8 | 1,467.7 | 85,597 | 82,207 | 76,268 | 171,949 | 168,462 | 191,362 | 45,834 | 42,253 | 41,736 |
| North Carolina | 650.7 | 641.4 | 622.2 | 36,755 | 34,551 | 30,617 | 53,979 | 48,365 | 44,947 | 16,576 | 15,849 | 15,315 |
| North Dakota | 74.6 | 75.3 | 73.0 | 3,370 | 3,201 | 2,747 | 2,825 | 2,721 | 2,873 | 1,229 | 1,178 | 1,172 |
| Ohio | 801.8 | 802.6 | 785.0 | 40,566 | 39,547 | 35,814 | 87,854 | 85,242 | 88,641 | 22,476 | 20,652 | 19,676 |
| Oklahoma | 301.6 | 295.8 | 287.7 | 15,359 | 14,673 | 13,429 | 20,419 | 19,635 | 19,113 | 6,427 | 5,906 | 5,840 |
| Oregon | 269.5 | 267.7 | 267.3 | 14,079 | 13,470 | 12,651 | 18,880 | 17.540 | 20,068 | 6,103 | 5,702 | 5,946 |
| Pennsylvania | 745.1 | 745.6 | 725.1 | 39,843 | 38,990 | 35,374 | 87,841 | 81,812 | 88,350 | 25,347 | 23,187 | 22,467 |
| Rhode Island | 65.8 | 66.2 | 64.3 | 4,459 | 4,329 | 3,954 | 8,545 | 8,664 | 8,258 | 2,409 | 2,257 | 2,035 |
| South Carolina | 327.5 | 326.1 | 322.8 | 17,192 | 16,401 | 14,904 | 15,357 | 14,999 | 16,455 | 6,804 | 6,353 | 6,381 |
| South Dakota | 74.3 | 74.3 | 70.3 | 3,295 | 3.115 | 2,780 | 3,294 | 3,375 | 4,111 | 1,063 | 1,013 | 927 |
| Tennessee | 414.0 | 411.1 | 399.0 | 19,385 | 18,513 | 16,587 | 36,802 | 35,251 | 36,710 | 9,536 | 8,812 | 7,740 |
| Texas | 1,655.6 | 1,646.1 | 1,561.9 | 83,934 | 81,112 | 71,197 | 152,691 | 141,935 | 152,583 | 30,752 | 29,099 | 27,424 |
| Utah | 198.7 | 196.6 | 185.4 | 9,774 | 9,440 | 8,391 | 9,594 | 9,306 | 10,023 | 4,189 | 3,955 | 3,979 |
| Vermont | 52.4 | 52.0 | 49.4 | 2,602 | 2,410 | 2,076 | 3,079 | 3,035 | 3,467 | 1,767 | 1,559 | 1,483 |
| Virginia | 651.5 | 637.5 | 624.7 | 48,270 | 46,001 | 41,514 | 47,017 | 47,095 | 50,091 | 14,233 | 12,969 | 12,648 |
| Washington | 523.3 | 520.6 | 483.3 | 31,444 | 30,060 | 26,596 | 42,168 | 41,906 | 47,845 | 13,895 | 12,960 | 12,567 |
| West Virginia | 143.1 | 142.5 | 143.1 | 7,005 | 6,779 | 6,110 | 5,226 | 4,830 | 5,016 | 3,749 | 3,594 | 3,343 |
| Wisconsin. | 412.1 | 412.9 | 405.6 | 19,633 | 18,881 | 17,171 | 34,711 | 34,153 | 35,890 | 12,531 | 12,090 | 12,575 |
| Wyoming | 64.6 | 63.5 | 60.7 | 2,946 | 2,780 | 2,397 | 2,934 | 2,712 | 2,357 | 1,505 | 1,217 | 964 |
|
./datasets/realWorld_datasets/tables/images/census_4_596.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--4--596--M1
|
How much money in total did the states of Alabama, Georgia, and Iowa collect through state tax in 2003?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": true, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{24750}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Geographic area</td><td colspan=\"3\">Nonfarm employment (BLS)\u00b9 (1,000)</td><td colspan=\"3\">Earnings (BEA)\u00b2 (mil. dol.)</td><td colspan=\"3\">Federal tax collections\u00b3 (mil. dol.)</td><td colspan=\"3\">State tax collections (mil. dol.)</td></tr>\n<tr><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2001</td><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2000</td></tr>\n<tr><td>United States</td><td>421,618.0</td><td>421,583.0</td><td>420,790.0</td><td>1,210,977</td><td>1,163,988</td><td>1,048,681</td><td>2,002,296</td><td>1,930,649</td><td>2,076,044</td><td>593,489</td><td>548,991</td><td>539,655</td></tr>\n<tr><td>Alabama</td><td>359.9</td><td>358.4</td><td>351.7</td><td>18,184</td><td>17,701</td><td>15,838</td><td>18,489</td><td>17,907</td><td>18,869</td><td>7,018</td><td>6,416</td><td>6,438</td></tr>\n<tr><td>Alaska.</td><td>81.2</td><td>81.6</td><td>74.4</td><td>5,852</td><td>5,595</td><td>4,938</td><td>3,267</td><td>3,249</td><td>2,977</td><td>1,288</td><td>1,120</td><td>1,423</td></tr>\n<tr><td>Arizona</td><td>400.7</td><td>393.5</td><td>366.6</td><td>20,800</td><td>19,475</td><td>16,941</td><td>25,345</td><td>23,231</td><td>25,173</td><td>9,606</td><td>8,692</td><td>8,101</td></tr>\n<tr><td>Arkansas</td><td>200.7</td><td>198.5</td><td>190.7</td><td>9,213</td><td>8,630</td><td>7,652</td><td>20.576</td><td>19,849</td><td>17,743</td><td>5,581</td><td>5,146</td><td>4,871</td></tr>\n<tr><td>California</td><td>2,390.3</td><td>2,425.5</td><td>2,318.1</td><td>152,099</td><td>147,897</td><td>133,820</td><td>237,931</td><td>227,611</td><td>258,601</td><td>85,721</td><td>79,198</td><td>83,808</td></tr>\n<tr><td>Colorado</td><td>359.2</td><td>356.2</td><td>337.0</td><td>20,657</td><td>19,791</td><td>17,512</td><td>34,661</td><td>33,739</td><td>37,371</td><td>7,051</td><td>6,636</td><td>7,075</td></tr>\n<tr><td>Connecticut</td><td>242.4</td><td>246.0</td><td>241.8</td><td>14,763</td><td>14,155</td><td>13,233</td><td>41,909</td><td>38.746</td><td>40,344</td><td>10,291</td><td>9,509</td><td>10,171</td></tr>\n<tr><td>Delaware</td><td>58.1</td><td>57.2</td><td>56.6</td><td>3,517</td><td>3,345</td><td>2,864</td><td>11,151</td><td>10,481</td><td>11,841</td><td>2,375</td><td>2,116</td><td>2,132</td></tr>\n<tr><td>District of Columbia</td><td>230.6</td><td>230.6</td><td>223.9</td><td>24,414</td><td>23,713</td><td>21,015</td><td>16,931</td><td>19,413</td><td>(\u00b0)</td><td>(NA)</td><td>(NA)</td><td>(NA)</td></tr>\n<tr><td>Florida</td><td>1,069.0</td><td>1,053.0</td><td>1,001.7</td><td>60,389</td><td>56,544</td><td>50,183</td><td>94,278</td><td>91,247</td><td>97,339</td><td>30,768</td><td>26,993</td><td>24,817</td></tr>\n<tr><td>Georgia</td><td>638.4</td><td>632.4</td><td>597.2</td><td>35,786</td><td>34,360</td><td>30,184</td><td>59,084</td><td>56,847</td><td>61,040</td><td>14,571</td><td>13,412</td><td>13,511</td></tr>\n<tr><td>Hawaii</td><td>120.1</td><td>119.1</td><td>114.6</td><td>9,922</td><td>9.317</td><td>8.086</td><td>8.395</td><td>5,262</td><td>6,237</td><td>3,849</td><td>3,570</td><td>3,335</td></tr>\n<tr><td>Idaho.</td><td>114.2</td><td>113.0</td><td>108.8</td><td>5,257</td><td>4,948</td><td>4,410</td><td>6,480</td><td>6,757</td><td>7,330</td><td>2,648</td><td>2,344</td><td>2,377</td></tr>\n<tr><td>Illinois</td><td>843.9</td><td>853.2</td><td>839.6</td><td>46,431</td><td>45,135</td><td>42,112</td><td>108,477</td><td>105.855</td><td>115,149</td><td>25,491</td><td>22.212</td><td>22,789</td></tr>\n<tr><td>Indiana</td><td>426.1</td><td>422.6</td><td>410.3</td><td>19,286</td><td>18,502</td><td>17,041</td><td>32,192</td><td>33.066</td><td>33.891</td><td>11,957</td><td>11,216</td><td>10,104</td></tr>\n<tr><td>lowa</td><td>244.3</td><td>244.8</td><td>243.3</td><td>10,972</td><td>10,532</td><td>9,670</td><td>14,543</td><td>14,559</td><td>14,646</td><td>5,133</td><td>4,922</td><td>5,185</td></tr>\n<tr><td>Kansas</td><td>252.0</td><td>250.4</td><td>244.9</td><td>11,863</td><td>11,212</td><td>10,136</td><td>15,897</td><td>15,516</td><td>17,815</td><td>5,284</td><td>5,008</td><td>4,848</td></tr>\n<tr><td>Kentucky</td><td>309.4</td><td>312.5</td><td>305.1</td><td>15,592</td><td>15,064</td><td>13,658</td><td>17,515</td><td>16,812</td><td>17,899</td><td>8,463</td><td>8,319</td><td>7,695</td></tr>\n<tr><td>Louisiana</td><td>382.5</td><td>379.3</td><td>373.4</td><td>17,792</td><td>16,897</td><td>14,798</td><td>20,341</td><td>19,878</td><td>16,200</td><td>8,026</td><td>7,450</td><td>6,512</td></tr>\n<tr><td>Maine</td><td>104.9</td><td>103.7</td><td>99.5</td><td>5,322</td><td>5,094</td><td>4,478</td><td>5,487</td><td>5,194</td><td>5,570</td><td>2,897</td><td>2,697</td><td>2,661</td></tr>\n<tr><td>Maryland</td><td>465.7</td><td>467.1</td><td>452.5</td><td>33,523</td><td>32,992</td><td>29,615</td><td>40,893</td><td>38,251</td><td>57,985</td><td>12,315</td><td>10,980</td><td>10,354</td></tr>\n<tr><td>Massachusetts</td><td>407.6</td><td>412.6</td><td>423.9</td><td>24,302</td><td>23.682</td><td>22,175</td><td>59.060</td><td>56,054</td><td>64,307</td><td>16,699</td><td>15,608</td><td>16.153</td></tr>\n<tr><td>Michigan</td><td>682.1</td><td>685.4</td><td>681.6</td><td>33,667</td><td>33,099</td><td>30,723</td><td>63,745</td><td>64,764</td><td>75,674</td><td>24,061</td><td>22,748</td><td>22,756</td></tr>\n<tr><td>Minnesota</td><td>411.1</td><td>412.5</td><td>407.6</td><td>19,921</td><td>19,137</td><td>17,359</td><td>58,068</td><td>57,906</td><td>55,241</td><td>14,735</td><td>13,981</td><td>13,339</td></tr>\n<tr><td>Mississippi</td><td>242.5</td><td>240.8</td><td>233.8</td><td>11,596</td><td>10,984</td><td>9,664</td><td>8,951</td><td>9,014</td><td>9,759</td><td>5,125</td><td>4,999</td><td>4,712</td></tr>\n<tr><td>Missouri</td><td>429.3</td><td>432.2</td><td>426.2</td><td>20,726</td><td>20,167</td><td>18,454</td><td>38,326</td><td>38,120</td><td>40,653</td><td>9,120</td><td>8,627</td><td>8,572</td></tr>\n<tr><td>Montana</td><td>87.0</td><td>85.8</td><td>80.3</td><td>4,091</td><td>3.903</td><td>3.420</td><td>3,134</td><td>3,096</td><td>3,675</td><td>1,626</td><td>1,487</td><td>1,411</td></tr>\n<tr><td>Nebraska</td><td>160.1</td><td>159.8</td><td>154.4</td><td>7,591</td><td>7,233</td><td>6,390</td><td>14,393</td><td>13,867</td><td>12,662</td><td>3,640</td><td>3,348</td><td>2,981</td></tr>\n<tr><td>Nevada</td><td>138.5</td><td>134.9</td><td>121.7</td><td>8,909</td><td>8,141</td><td>7,014</td><td>13,294</td><td>13,170</td><td>11,892</td><td>4,739</td><td>4,129</td><td>3,717</td></tr>\n<tr><td>New Hampshire</td><td>89.7</td><td>90.1</td><td>83.5</td><td>4,094</td><td>3,938</td><td>3,389</td><td>7,183</td><td>7,366</td><td>7,942</td><td>2,005</td><td>1,959</td><td>1,696</td></tr>\n<tr><td>New Jersey</td><td>634.1</td><td>621.9</td><td>588.8</td><td>38,389</td><td>36,344</td><td>32,595</td><td>91,082</td><td>86,514</td><td>95,860</td><td>20,981</td><td>19,936</td><td>18,148</td></tr>\n<tr><td>New Mexico</td><td>198.3</td><td>195.1</td><td>183.0</td><td>10,548</td><td>10,000</td><td>8,735</td><td>6,050</td><td>6,271</td><td>6,197</td><td>4,002</td><td>3,607</td><td>3,743</td></tr>\n<tr><td>New York</td><td>1,483.3</td><td>1,487.8</td><td>1,467.7</td><td>85,597</td><td>82,207</td><td>76,268</td><td>171,949</td><td>168,462</td><td>191,362</td><td>45,834</td><td>42,253</td><td>41,736</td></tr>\n<tr><td>North Carolina</td><td>650.7</td><td>641.4</td><td>622.2</td><td>36,755</td><td>34,551</td><td>30,617</td><td>53,979</td><td>48,365</td><td>44,947</td><td>16,576</td><td>15,849</td><td>15,315</td></tr>\n<tr><td>North Dakota</td><td>74.6</td><td>75.3</td><td>73.0</td><td>3,370</td><td>3,201</td><td>2,747</td><td>2,825</td><td>2,721</td><td>2,873</td><td>1,229</td><td>1,178</td><td>1,172</td></tr>\n<tr><td>Ohio</td><td>801.8</td><td>802.6</td><td>785.0</td><td>40,566</td><td>39,547</td><td>35,814</td><td>87,854</td><td>85,242</td><td>88,641</td><td>22,476</td><td>20,652</td><td>19,676</td></tr>\n<tr><td>Oklahoma</td><td>301.6</td><td>295.8</td><td>287.7</td><td>15,359</td><td>14,673</td><td>13,429</td><td>20,419</td><td>19,635</td><td>19,113</td><td>6,427</td><td>5,906</td><td>5,840</td></tr>\n<tr><td>Oregon</td><td>269.5</td><td>267.7</td><td>267.3</td><td>14,079</td><td>13,470</td><td>12,651</td><td>18,880</td><td>17.540</td><td>20,068</td><td>6,103</td><td>5,702</td><td>5,946</td></tr>\n<tr><td>Pennsylvania</td><td>745.1</td><td>745.6</td><td>725.1</td><td>39,843</td><td>38,990</td><td>35,374</td><td>87,841</td><td>81,812</td><td>88,350</td><td>25,347</td><td>23,187</td><td>22,467</td></tr>\n<tr><td>Rhode Island</td><td>65.8</td><td>66.2</td><td>64.3</td><td>4,459</td><td>4,329</td><td>3,954</td><td>8,545</td><td>8,664</td><td>8,258</td><td>2,409</td><td>2,257</td><td>2,035</td></tr>\n<tr><td>South Carolina</td><td>327.5</td><td>326.1</td><td>322.8</td><td>17,192</td><td>16,401</td><td>14,904</td><td>15,357</td><td>14,999</td><td>16,455</td><td>6,804</td><td>6,353</td><td>6,381</td></tr>\n<tr><td>South Dakota</td><td>74.3</td><td>74.3</td><td>70.3</td><td>3,295</td><td>3.115</td><td>2,780</td><td>3,294</td><td>3,375</td><td>4,111</td><td>1,063</td><td>1,013</td><td>927</td></tr>\n<tr><td>Tennessee</td><td>414.0</td><td>411.1</td><td>399.0</td><td>19,385</td><td>18,513</td><td>16,587</td><td>36,802</td><td>35,251</td><td>36,710</td><td>9,536</td><td>8,812</td><td>7,740</td></tr>\n<tr><td>Texas</td><td>1,655.6</td><td>1,646.1</td><td>1,561.9</td><td>83,934</td><td>81,112</td><td>71,197</td><td>152,691</td><td>141,935</td><td>152,583</td><td>30,752</td><td>29,099</td><td>27,424</td></tr>\n<tr><td>Utah</td><td>198.7</td><td>196.6</td><td>185.4</td><td>9,774</td><td>9,440</td><td>8,391</td><td>9,594</td><td>9,306</td><td>10,023</td><td>4,189</td><td>3,955</td><td>3,979</td></tr>\n<tr><td>Vermont</td><td>52.4</td><td>52.0</td><td>49.4</td><td>2,602</td><td>2,410</td><td>2,076</td><td>3,079</td><td>3,035</td><td>3,467</td><td>1,767</td><td>1,559</td><td>1,483</td></tr>\n<tr><td>Virginia</td><td>651.5</td><td>637.5</td><td>624.7</td><td>48,270</td><td>46,001</td><td>41,514</td><td>47,017</td><td>47,095</td><td>50,091</td><td>14,233</td><td>12,969</td><td>12,648</td></tr>\n<tr><td>Washington</td><td>523.3</td><td>520.6</td><td>483.3</td><td>31,444</td><td>30,060</td><td>26,596</td><td>42,168</td><td>41,906</td><td>47,845</td><td>13,895</td><td>12,960</td><td>12,567</td></tr>\n<tr><td>West Virginia</td><td>143.1</td><td>142.5</td><td>143.1</td><td>7,005</td><td>6,779</td><td>6,110</td><td>5,226</td><td>4,830</td><td>5,016</td><td>3,749</td><td>3,594</td><td>3,343</td></tr>\n<tr><td>Wisconsin.</td><td>412.1</td><td>412.9</td><td>405.6</td><td>19,633</td><td>18,881</td><td>17,171</td><td>34,711</td><td>34,153</td><td>35,890</td><td>12,531</td><td>12,090</td><td>12,575</td></tr>\n<tr><td>Wyoming</td><td>64.6</td><td>63.5</td><td>60.7</td><td>2,946</td><td>2,780</td><td>2,397</td><td>2,934</td><td>2,712</td><td>2,357</td><td>1,505</td><td>1,217</td><td>964</td></tr>\n</table>` \n\nQuestion: `How much money in total did the states of Alabama, Georgia, and Iowa collect through state tax in 2003?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Geographic area</td><td colspan=\"3\">Nonfarm employment (BLS)\u00b9 (1,000)</td><td colspan=\"3\">Earnings (BEA)\u00b2 (mil. dol.)</td><td colspan=\"3\">Federal tax collections\u00b3 (mil. dol.)</td><td colspan=\"3\">State tax collections (mil. dol.)</td></tr>\n<tr><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2001</td><td>2004</td><td>2003</td><td>2000</td><td>2004</td><td>2003</td><td>2000</td></tr>\n<tr><td>United States</td><td>421,618.0</td><td>421,583.0</td><td>420,790.0</td><td>1,210,977</td><td>1,163,988</td><td>1,048,681</td><td>2,002,296</td><td>1,930,649</td><td>2,076,044</td><td>593,489</td><td>548,991</td><td>539,655</td></tr>\n<tr><td>Alabama</td><td>359.9</td><td>358.4</td><td>351.7</td><td>18,184</td><td>17,701</td><td>15,838</td><td>18,489</td><td>17,907</td><td>18,869</td><td>7,018</td><td>6,416</td><td>6,438</td></tr>\n<tr><td>Alaska.</td><td>81.2</td><td>81.6</td><td>74.4</td><td>5,852</td><td>5,595</td><td>4,938</td><td>3,267</td><td>3,249</td><td>2,977</td><td>1,288</td><td>1,120</td><td>1,423</td></tr>\n<tr><td>Arizona</td><td>400.7</td><td>393.5</td><td>366.6</td><td>20,800</td><td>19,475</td><td>16,941</td><td>25,345</td><td>23,231</td><td>25,173</td><td>9,606</td><td>8,692</td><td>8,101</td></tr>\n<tr><td>Arkansas</td><td>200.7</td><td>198.5</td><td>190.7</td><td>9,213</td><td>8,630</td><td>7,652</td><td>20.576</td><td>19,849</td><td>17,743</td><td>5,581</td><td>5,146</td><td>4,871</td></tr>\n<tr><td>California</td><td>2,390.3</td><td>2,425.5</td><td>2,318.1</td><td>152,099</td><td>147,897</td><td>133,820</td><td>237,931</td><td>227,611</td><td>258,601</td><td>85,721</td><td>79,198</td><td>83,808</td></tr>\n<tr><td>Colorado</td><td>359.2</td><td>356.2</td><td>337.0</td><td>20,657</td><td>19,791</td><td>17,512</td><td>34,661</td><td>33,739</td><td>37,371</td><td>7,051</td><td>6,636</td><td>7,075</td></tr>\n<tr><td>Connecticut</td><td>242.4</td><td>246.0</td><td>241.8</td><td>14,763</td><td>14,155</td><td>13,233</td><td>41,909</td><td>38.746</td><td>40,344</td><td>10,291</td><td>9,509</td><td>10,171</td></tr>\n<tr><td>Delaware</td><td>58.1</td><td>57.2</td><td>56.6</td><td>3,517</td><td>3,345</td><td>2,864</td><td>11,151</td><td>10,481</td><td>11,841</td><td>2,375</td><td>2,116</td><td>2,132</td></tr>\n<tr><td>District of Columbia</td><td>230.6</td><td>230.6</td><td>223.9</td><td>24,414</td><td>23,713</td><td>21,015</td><td>16,931</td><td>19,413</td><td>(\u00b0)</td><td>(NA)</td><td>(NA)</td><td>(NA)</td></tr>\n<tr><td>Florida</td><td>1,069.0</td><td>1,053.0</td><td>1,001.7</td><td>60,389</td><td>56,544</td><td>50,183</td><td>94,278</td><td>91,247</td><td>97,339</td><td>30,768</td><td>26,993</td><td>24,817</td></tr>\n<tr><td>Georgia</td><td>638.4</td><td>632.4</td><td>597.2</td><td>35,786</td><td>34,360</td><td>30,184</td><td>59,084</td><td>56,847</td><td>61,040</td><td>14,571</td><td>13,412</td><td>13,511</td></tr>\n<tr><td>Hawaii</td><td>120.1</td><td>119.1</td><td>114.6</td><td>9,922</td><td>9.317</td><td>8.086</td><td>8.395</td><td>5,262</td><td>6,237</td><td>3,849</td><td>3,570</td><td>3,335</td></tr>\n<tr><td>Idaho.</td><td>114.2</td><td>113.0</td><td>108.8</td><td>5,257</td><td>4,948</td><td>4,410</td><td>6,480</td><td>6,757</td><td>7,330</td><td>2,648</td><td>2,344</td><td>2,377</td></tr>\n<tr><td>Illinois</td><td>843.9</td><td>853.2</td><td>839.6</td><td>46,431</td><td>45,135</td><td>42,112</td><td>108,477</td><td>105.855</td><td>115,149</td><td>25,491</td><td>22.212</td><td>22,789</td></tr>\n<tr><td>Indiana</td><td>426.1</td><td>422.6</td><td>410.3</td><td>19,286</td><td>18,502</td><td>17,041</td><td>32,192</td><td>33.066</td><td>33.891</td><td>11,957</td><td>11,216</td><td>10,104</td></tr>\n<tr><td>lowa</td><td>244.3</td><td>244.8</td><td>243.3</td><td>10,972</td><td>10,532</td><td>9,670</td><td>14,543</td><td>14,559</td><td>14,646</td><td>5,133</td><td>4,922</td><td>5,185</td></tr>\n<tr><td>Kansas</td><td>252.0</td><td>250.4</td><td>244.9</td><td>11,863</td><td>11,212</td><td>10,136</td><td>15,897</td><td>15,516</td><td>17,815</td><td>5,284</td><td>5,008</td><td>4,848</td></tr>\n<tr><td>Kentucky</td><td>309.4</td><td>312.5</td><td>305.1</td><td>15,592</td><td>15,064</td><td>13,658</td><td>17,515</td><td>16,812</td><td>17,899</td><td>8,463</td><td>8,319</td><td>7,695</td></tr>\n<tr><td>Louisiana</td><td>382.5</td><td>379.3</td><td>373.4</td><td>17,792</td><td>16,897</td><td>14,798</td><td>20,341</td><td>19,878</td><td>16,200</td><td>8,026</td><td>7,450</td><td>6,512</td></tr>\n<tr><td>Maine</td><td>104.9</td><td>103.7</td><td>99.5</td><td>5,322</td><td>5,094</td><td>4,478</td><td>5,487</td><td>5,194</td><td>5,570</td><td>2,897</td><td>2,697</td><td>2,661</td></tr>\n<tr><td>Maryland</td><td>465.7</td><td>467.1</td><td>452.5</td><td>33,523</td><td>32,992</td><td>29,615</td><td>40,893</td><td>38,251</td><td>57,985</td><td>12,315</td><td>10,980</td><td>10,354</td></tr>\n<tr><td>Massachusetts</td><td>407.6</td><td>412.6</td><td>423.9</td><td>24,302</td><td>23.682</td><td>22,175</td><td>59.060</td><td>56,054</td><td>64,307</td><td>16,699</td><td>15,608</td><td>16.153</td></tr>\n<tr><td>Michigan</td><td>682.1</td><td>685.4</td><td>681.6</td><td>33,667</td><td>33,099</td><td>30,723</td><td>63,745</td><td>64,764</td><td>75,674</td><td>24,061</td><td>22,748</td><td>22,756</td></tr>\n<tr><td>Minnesota</td><td>411.1</td><td>412.5</td><td>407.6</td><td>19,921</td><td>19,137</td><td>17,359</td><td>58,068</td><td>57,906</td><td>55,241</td><td>14,735</td><td>13,981</td><td>13,339</td></tr>\n<tr><td>Mississippi</td><td>242.5</td><td>240.8</td><td>233.8</td><td>11,596</td><td>10,984</td><td>9,664</td><td>8,951</td><td>9,014</td><td>9,759</td><td>5,125</td><td>4,999</td><td>4,712</td></tr>\n<tr><td>Missouri</td><td>429.3</td><td>432.2</td><td>426.2</td><td>20,726</td><td>20,167</td><td>18,454</td><td>38,326</td><td>38,120</td><td>40,653</td><td>9,120</td><td>8,627</td><td>8,572</td></tr>\n<tr><td>Montana</td><td>87.0</td><td>85.8</td><td>80.3</td><td>4,091</td><td>3.903</td><td>3.420</td><td>3,134</td><td>3,096</td><td>3,675</td><td>1,626</td><td>1,487</td><td>1,411</td></tr>\n<tr><td>Nebraska</td><td>160.1</td><td>159.8</td><td>154.4</td><td>7,591</td><td>7,233</td><td>6,390</td><td>14,393</td><td>13,867</td><td>12,662</td><td>3,640</td><td>3,348</td><td>2,981</td></tr>\n<tr><td>Nevada</td><td>138.5</td><td>134.9</td><td>121.7</td><td>8,909</td><td>8,141</td><td>7,014</td><td>13,294</td><td>13,170</td><td>11,892</td><td>4,739</td><td>4,129</td><td>3,717</td></tr>\n<tr><td>New Hampshire</td><td>89.7</td><td>90.1</td><td>83.5</td><td>4,094</td><td>3,938</td><td>3,389</td><td>7,183</td><td>7,366</td><td>7,942</td><td>2,005</td><td>1,959</td><td>1,696</td></tr>\n<tr><td>New Jersey</td><td>634.1</td><td>621.9</td><td>588.8</td><td>38,389</td><td>36,344</td><td>32,595</td><td>91,082</td><td>86,514</td><td>95,860</td><td>20,981</td><td>19,936</td><td>18,148</td></tr>\n<tr><td>New Mexico</td><td>198.3</td><td>195.1</td><td>183.0</td><td>10,548</td><td>10,000</td><td>8,735</td><td>6,050</td><td>6,271</td><td>6,197</td><td>4,002</td><td>3,607</td><td>3,743</td></tr>\n<tr><td>New York</td><td>1,483.3</td><td>1,487.8</td><td>1,467.7</td><td>85,597</td><td>82,207</td><td>76,268</td><td>171,949</td><td>168,462</td><td>191,362</td><td>45,834</td><td>42,253</td><td>41,736</td></tr>\n<tr><td>North Carolina</td><td>650.7</td><td>641.4</td><td>622.2</td><td>36,755</td><td>34,551</td><td>30,617</td><td>53,979</td><td>48,365</td><td>44,947</td><td>16,576</td><td>15,849</td><td>15,315</td></tr>\n<tr><td>North Dakota</td><td>74.6</td><td>75.3</td><td>73.0</td><td>3,370</td><td>3,201</td><td>2,747</td><td>2,825</td><td>2,721</td><td>2,873</td><td>1,229</td><td>1,178</td><td>1,172</td></tr>\n<tr><td>Ohio</td><td>801.8</td><td>802.6</td><td>785.0</td><td>40,566</td><td>39,547</td><td>35,814</td><td>87,854</td><td>85,242</td><td>88,641</td><td>22,476</td><td>20,652</td><td>19,676</td></tr>\n<tr><td>Oklahoma</td><td>301.6</td><td>295.8</td><td>287.7</td><td>15,359</td><td>14,673</td><td>13,429</td><td>20,419</td><td>19,635</td><td>19,113</td><td>6,427</td><td>5,906</td><td>5,840</td></tr>\n<tr><td>Oregon</td><td>269.5</td><td>267.7</td><td>267.3</td><td>14,079</td><td>13,470</td><td>12,651</td><td>18,880</td><td>17.540</td><td>20,068</td><td>6,103</td><td>5,702</td><td>5,946</td></tr>\n<tr><td>Pennsylvania</td><td>745.1</td><td>745.6</td><td>725.1</td><td>39,843</td><td>38,990</td><td>35,374</td><td>87,841</td><td>81,812</td><td>88,350</td><td>25,347</td><td>23,187</td><td>22,467</td></tr>\n<tr><td>Rhode Island</td><td>65.8</td><td>66.2</td><td>64.3</td><td>4,459</td><td>4,329</td><td>3,954</td><td>8,545</td><td>8,664</td><td>8,258</td><td>2,409</td><td>2,257</td><td>2,035</td></tr>\n<tr><td>South Carolina</td><td>327.5</td><td>326.1</td><td>322.8</td><td>17,192</td><td>16,401</td><td>14,904</td><td>15,357</td><td>14,999</td><td>16,455</td><td>6,804</td><td>6,353</td><td>6,381</td></tr>\n<tr><td>South Dakota</td><td>74.3</td><td>74.3</td><td>70.3</td><td>3,295</td><td>3.115</td><td>2,780</td><td>3,294</td><td>3,375</td><td>4,111</td><td>1,063</td><td>1,013</td><td>927</td></tr>\n<tr><td>Tennessee</td><td>414.0</td><td>411.1</td><td>399.0</td><td>19,385</td><td>18,513</td><td>16,587</td><td>36,802</td><td>35,251</td><td>36,710</td><td>9,536</td><td>8,812</td><td>7,740</td></tr>\n<tr><td>Texas</td><td>1,655.6</td><td>1,646.1</td><td>1,561.9</td><td>83,934</td><td>81,112</td><td>71,197</td><td>152,691</td><td>141,935</td><td>152,583</td><td>30,752</td><td>29,099</td><td>27,424</td></tr>\n<tr><td>Utah</td><td>198.7</td><td>196.6</td><td>185.4</td><td>9,774</td><td>9,440</td><td>8,391</td><td>9,594</td><td>9,306</td><td>10,023</td><td>4,189</td><td>3,955</td><td>3,979</td></tr>\n<tr><td>Vermont</td><td>52.4</td><td>52.0</td><td>49.4</td><td>2,602</td><td>2,410</td><td>2,076</td><td>3,079</td><td>3,035</td><td>3,467</td><td>1,767</td><td>1,559</td><td>1,483</td></tr>\n<tr><td>Virginia</td><td>651.5</td><td>637.5</td><td>624.7</td><td>48,270</td><td>46,001</td><td>41,514</td><td>47,017</td><td>47,095</td><td>50,091</td><td>14,233</td><td>12,969</td><td>12,648</td></tr>\n<tr><td>Washington</td><td>523.3</td><td>520.6</td><td>483.3</td><td>31,444</td><td>30,060</td><td>26,596</td><td>42,168</td><td>41,906</td><td>47,845</td><td>13,895</td><td>12,960</td><td>12,567</td></tr>\n<tr><td>West Virginia</td><td>143.1</td><td>142.5</td><td>143.1</td><td>7,005</td><td>6,779</td><td>6,110</td><td>5,226</td><td>4,830</td><td>5,016</td><td>3,749</td><td>3,594</td><td>3,343</td></tr>\n<tr><td>Wisconsin.</td><td>412.1</td><td>412.9</td><td>405.6</td><td>19,633</td><td>18,881</td><td>17,171</td><td>34,711</td><td>34,153</td><td>35,890</td><td>12,531</td><td>12,090</td><td>12,575</td></tr>\n<tr><td>Wyoming</td><td>64.6</td><td>63.5</td><td>60.7</td><td>2,946</td><td>2,780</td><td>2,397</td><td>2,934</td><td>2,712</td><td>2,357</td><td>1,505</td><td>1,217</td><td>964</td></tr>\n</table>` \n\nQuestion: `How much money in total did the states of Alabama, Georgia, and Iowa collect through state tax in 2003?` \n\n # OUTPUT: \nAnswer:"}]
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arxiv--10--4200
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realWorldHCTs
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,0,1,2,3,4,5,6
0,Methods,GCN,__,GIN,__,Sag,__
1,__,before,after,before,after,before,after
2,Clean,83.33,86.84,87.72,86.84,79.82,34.21
3,Random,84.21,73.68,65.79,84.21,81.58,34.21
4,EMaxS,34.21,34.21,79.82,81.58,73.68,68.42
5,EMinS,80.70,68.42,74.56,81.58,78.07,71.05
6,EMinF,83.33,78.95,85.09,78.95,83.33,55.26
7,SubInj,35.96,34.21,35.96,65.79,73.68,57.89
|
<table id="0-1">
<tr><td rowspan="2">Methods</td><td colspan="2">GCN</td><td colspan="2">GIN</td><td colspan="2">Sage</td></tr>
<tr><td>before</td><td>after</td><td>before</td><td>after</td><td>before</td><td>after</td></tr>
<tr><td>Clean</td><td>83.33</td><td>86.84</td><td>87.72</td><td>86.84</td><td>79.82</td><td>34.21</td></tr>
<tr><td>Random</td><td>84.21</td><td>73.68</td><td>65.79</td><td>84.21</td><td>81.58</td><td>34.21</td></tr>
<tr><td>EMaxS</td><td>34.21</td><td>34.21</td><td>79.82</td><td>81.58</td><td>73.68</td><td>68.42</td></tr>
<tr><td>EMinS</td><td>80.70</td><td>68.42</td><td>74.56</td><td>81.58</td><td>78.07</td><td>71.05</td></tr>
<tr><td>EMinF</td><td>83.33</td><td>78.95</td><td>85.09</td><td>78.95</td><td>83.33</td><td>55.26</td></tr>
<tr><td>SubInj</td><td>35.96</td><td>34.21</td><td>35.96</td><td>65.79</td><td>73.68</td><td>57.89</td></tr>
</table>
|
| Methods | GCN | | GIN | | Sage | |
|---|---|---|---|---|---|---|
| | before | after | before | after | before | after |
| Clean | 83.33 | 86.84 | 87.72 | 86.84 | 79.82 | 34.21 |
| Random | 84.21 | 73.68 | 65.79 | 84.21 | 81.58 | 34.21 |
| EMaxS | 34.21 | 34.21 | 79.82 | 81.58 | 73.68 | 68.42 |
| EMinS | 80.70 | 68.42 | 74.56 | 81.58 | 78.07 | 71.05 |
| EMinF | 83.33 | 78.95 | 85.09 | 78.95 | 83.33 | 55.26 |
| SubInj | 35.96 | 34.21 | 35.96 | 65.79 | 73.68 | 57.89 |
|
./datasets/realWorld_datasets/tables/images/arxiv_10_4200.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--10--4200--M1
|
What is the largest values for GIN before and SAGE after?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "2", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{87.72} || {71.05}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Methods</td><td colspan=\"2\">GCN</td><td colspan=\"2\">GIN</td><td colspan=\"2\">Sage</td></tr>\n<tr><td>before</td><td>after</td><td>before</td><td>after</td><td>before</td><td>after</td></tr>\n<tr><td>Clean</td><td>83.33</td><td>86.84</td><td>87.72</td><td>86.84</td><td>79.82</td><td>34.21</td></tr>\n<tr><td>Random</td><td>84.21</td><td>73.68</td><td>65.79</td><td>84.21</td><td>81.58</td><td>34.21</td></tr>\n<tr><td>EMaxS</td><td>34.21</td><td>34.21</td><td>79.82</td><td>81.58</td><td>73.68</td><td>68.42</td></tr>\n<tr><td>EMinS</td><td>80.70</td><td>68.42</td><td>74.56</td><td>81.58</td><td>78.07</td><td>71.05</td></tr>\n<tr><td>EMinF</td><td>83.33</td><td>78.95</td><td>85.09</td><td>78.95</td><td>83.33</td><td>55.26</td></tr>\n<tr><td>SubInj</td><td>35.96</td><td>34.21</td><td>35.96</td><td>65.79</td><td>73.68</td><td>57.89</td></tr>\n</table>` \n\nQuestion: `What is the largest values for GIN before and SAGE after?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Methods</td><td colspan=\"2\">GCN</td><td colspan=\"2\">GIN</td><td colspan=\"2\">Sage</td></tr>\n<tr><td>before</td><td>after</td><td>before</td><td>after</td><td>before</td><td>after</td></tr>\n<tr><td>Clean</td><td>83.33</td><td>86.84</td><td>87.72</td><td>86.84</td><td>79.82</td><td>34.21</td></tr>\n<tr><td>Random</td><td>84.21</td><td>73.68</td><td>65.79</td><td>84.21</td><td>81.58</td><td>34.21</td></tr>\n<tr><td>EMaxS</td><td>34.21</td><td>34.21</td><td>79.82</td><td>81.58</td><td>73.68</td><td>68.42</td></tr>\n<tr><td>EMinS</td><td>80.70</td><td>68.42</td><td>74.56</td><td>81.58</td><td>78.07</td><td>71.05</td></tr>\n<tr><td>EMinF</td><td>83.33</td><td>78.95</td><td>85.09</td><td>78.95</td><td>83.33</td><td>55.26</td></tr>\n<tr><td>SubInj</td><td>35.96</td><td>34.21</td><td>35.96</td><td>65.79</td><td>73.68</td><td>57.89</td></tr>\n</table>` \n\nQuestion: `What is the largest values for GIN before and SAGE after?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--A2
|
What is the sum of the total number of females for the educational statuses "Primary" and "University"?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{133678}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What is the sum of the total number of females for the educational statuses \"Primary\" and \"University\"?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What is the sum of the total number of females for the educational statuses \"Primary\" and \"University\"?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--M0
|
Report the number of Qatari females in primary education status.
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{336}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `Report the number of Qatari females in primary education status.` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `Report the number of Qatari females in primary education status.` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--A1
|
For the educational status of "University", what are the total numbers of females and males?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{83,606 | 226,792}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `For the educational status of \"University\", what are the total numbers of females and males?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `For the educational status of \"University\", what are the total numbers of females and males?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--A5
|
What are the total number of females and males for the educational statuses 'Primary' and 'University'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{50,072 | 370,966} || {83,606 | 226,792}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What are the total number of females and males for the educational statuses 'Primary' and 'University'?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What are the total number of females and males for the educational statuses 'Primary' and 'University'?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--A4
|
What is the average number of Non-Qatari Males in the Educational Status categories of Primary, Secondary, and University?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{284909}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What is the average number of Non-Qatari Males in the Educational Status categories of Primary, Secondary, and University?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What is the average number of Non-Qatari Males in the Educational Status categories of Primary, Secondary, and University?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--A0
|
What is the difference between the total number of Qatari males and females with a University educational status?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{1915}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What is the difference between the total number of Qatari males and females with a University educational status?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `What is the difference between the total number of Qatari males and females with a University educational status?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--A3
|
How many females and males are there with a University educational status among Non-Qatari residents?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{64,055 | 205,326}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `How many females and males are there with a University educational status among Non-Qatari residents?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `How many females and males are there with a University educational status among Non-Qatari residents?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1337
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9
0,Educational Status,Total,__,__,Non-Qatari,__,__,Qatari,__,__
1,__,Total,Females,Males,Total,Females,Males,Total,Females,Males
2,Illiterate,"23,729","1,940","21,789","23,715","1,940","21,775",14,0,14
3,Read & Write,"226,337","23,578","202,759","225,665","23,466","202,199",672,112,560
4,Literacy,"1,552",154,"1,398","1,552",154,"1,398",0,0,0
5,Primary,"421,038","50,072","370,966","417,384","49,736","367,648","3,654",336,"3,318"
6,Preparatory,"545,028","45,914","499,114","533,473","43,422","490,051","11,555","2,492","9,063"
7,Vocational Training,"31,060",106,"30,954","31,060",106,"30,954",0,0,0
8,Secondary,"356,726","48,823","307,903","319,133","37,380","281,753","37,593","11,443","26,150"
9,Diploma,"102,204","15,073","87,131","98,464","13,883","84,581","3,740","1,190","2,550"
10,University,"310,398","83,606","226,792","269,381","64,055","205,326","41,017","19,551","21,466"
11,Higher Diploma,"11,895","1,842","10,053","10,089","1,044","9,045","1,806",798,"1,008"
12,M.A / M.Sc.,"16,365","3,456","12,909","13,943","2,770","11,173","2,422",686,"1,736"
13,Ph.D.,"8,170","1,481","6,689","6,699","1,032","5,667","1,471",449,"1,022"
14,Total,"2,054,502","276,045","1,778,457","1,950,558","238,988","1,711,570","103,944","37,057","66,887"
|
<table id="0-1">
<tr><td rowspan="2">Educational Status</td><td colspan="3">Total</td><td colspan="3">Non-Qatari</td><td colspan="3">Qatari</td></tr>
<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>
<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>
<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>
<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>
<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>
<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>
<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>
<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>
<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>
<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>
<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>
</table>
|
| Educational Status | Total | | | Non-Qatari | | | Qatari | | |
|---|---|---|---|---|---|---|---|---|---|
| | Total | Females | Males | Total | Females | Males | Total | Females | Males |
| Illiterate | 23,729 | 1,940 | 21,789 | 23,715 | 1,940 | 21,775 | 14 | 0 | 14 |
| Read & Write | 226,337 | 23,578 | 202,759 | 225,665 | 23,466 | 202,199 | 672 | 112 | 560 |
| Literacy | 1,552 | 154 | 1,398 | 1,552 | 154 | 1,398 | 0 | 0 | 0 |
| Primary | 421,038 | 50,072 | 370,966 | 417,384 | 49,736 | 367,648 | 3,654 | 336 | 3,318 |
| Preparatory | 545,028 | 45,914 | 499,114 | 533,473 | 43,422 | 490,051 | 11,555 | 2,492 | 9,063 |
| Vocational Training | 31,060 | 106 | 30,954 | 31,060 | 106 | 30,954 | 0 | 0 | 0 |
| Secondary | 356,726 | 48,823 | 307,903 | 319,133 | 37,380 | 281,753 | 37,593 | 11,443 | 26,150 |
| Diploma | 102,204 | 15,073 | 87,131 | 98,464 | 13,883 | 84,581 | 3,740 | 1,190 | 2,550 |
| University | 310,398 | 83,606 | 226,792 | 269,381 | 64,055 | 205,326 | 41,017 | 19,551 | 21,466 |
| Higher Diploma | 11,895 | 1,842 | 10,053 | 10,089 | 1,044 | 9,045 | 1,806 | 798 | 1,008 |
| M.A / M.Sc. | 16,365 | 3,456 | 12,909 | 13,943 | 2,770 | 11,173 | 2,422 | 686 | 1,736 |
| Ph.D. | 8,170 | 1,481 | 6,689 | 6,699 | 1,032 | 5,667 | 1,471 | 449 | 1,022 |
| Total | 2,054,502 | 276,045 | 1,778,457 | 1,950,558 | 238,988 | 1,711,570 | 103,944 | 37,057 | 66,887 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1337.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1337--M1
|
Report the number of people who received all kinds of education.
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{2054502}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `Report the number of people who received all kinds of education.` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Educational Status</td><td colspan=\"3\">Total</td><td colspan=\"3\">Non-Qatari</td><td colspan=\"3\">Qatari</td></tr>\n<tr><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Illiterate</td><td>23,729</td><td>1,940</td><td>21,789</td><td>23,715</td><td>1,940</td><td>21,775</td><td>14</td><td>0</td><td>14</td></tr>\n<tr><td>Read & Write</td><td>226,337</td><td>23,578</td><td>202,759</td><td>225,665</td><td>23,466</td><td>202,199</td><td>672</td><td>112</td><td>560</td></tr>\n<tr><td>Literacy</td><td>1,552</td><td>154</td><td>1,398</td><td>1,552</td><td>154</td><td>1,398</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Primary</td><td>421,038</td><td>50,072</td><td>370,966</td><td>417,384</td><td>49,736</td><td>367,648</td><td>3,654</td><td>336</td><td>3,318</td></tr>\n<tr><td>Preparatory</td><td>545,028</td><td>45,914</td><td>499,114</td><td>533,473</td><td>43,422</td><td>490,051</td><td>11,555</td><td>2,492</td><td>9,063</td></tr>\n<tr><td>Vocational Training</td><td>31,060</td><td>106</td><td>30,954</td><td>31,060</td><td>106</td><td>30,954</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Secondary</td><td>356,726</td><td>48,823</td><td>307,903</td><td>319,133</td><td>37,380</td><td>281,753</td><td>37,593</td><td>11,443</td><td>26,150</td></tr>\n<tr><td>Diploma</td><td>102,204</td><td>15,073</td><td>87,131</td><td>98,464</td><td>13,883</td><td>84,581</td><td>3,740</td><td>1,190</td><td>2,550</td></tr>\n<tr><td>University</td><td>310,398</td><td>83,606</td><td>226,792</td><td>269,381</td><td>64,055</td><td>205,326</td><td>41,017</td><td>19,551</td><td>21,466</td></tr>\n<tr><td>Higher Diploma</td><td>11,895</td><td>1,842</td><td>10,053</td><td>10,089</td><td>1,044</td><td>9,045</td><td>1,806</td><td>798</td><td>1,008</td></tr>\n<tr><td>M.A / M.Sc.</td><td>16,365</td><td>3,456</td><td>12,909</td><td>13,943</td><td>2,770</td><td>11,173</td><td>2,422</td><td>686</td><td>1,736</td></tr>\n<tr><td>Ph.D.</td><td>8,170</td><td>1,481</td><td>6,689</td><td>6,699</td><td>1,032</td><td>5,667</td><td>1,471</td><td>449</td><td>1,022</td></tr>\n<tr><td>Total</td><td>2,054,502</td><td>276,045</td><td>1,778,457</td><td>1,950,558</td><td>238,988</td><td>1,711,570</td><td>103,944</td><td>37,057</td><td>66,887</td></tr>\n</table>` \n\nQuestion: `Report the number of people who received all kinds of education.` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--21--9643
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10
0,,Single-Node (Python),__,__,__,,Multi-Node (Apache Spark),__,__,__,__
1,__,SF=1,SF=5,SF=10,SF=15,SF=1,SF=10,SF=100,SF=200,SF=300,SF=400
2,TLD,2.38,4.99,15.19,14.63,94.19,138.12,797.76,1729.97,2735.43,5993.25
3,TPTT,91.18,352.61,905.16,1432.03,130.02,153.21,328.58,441.98,588.84,761.54
4,TPST,9.92,23.11,52.39,65.33,58.59,64.07,77.70,91.27,96.30,105.02
5,TTT,14.26,38.04,97.62,165.86,35.70,41.66,58.19,84.34,102.42,124.46
6,AIUCpm@SF,45.28,85.10,65.51,73.31,8.43,69.20,323.37,433.22,506.99,485.61
|
<table id="0-1">
<tr><td></td><td colspan="4">Single-Node (Python)</td><td colspan="6">Multi-Node (Apache Spark)</td></tr>
<tr><td></td><td>SF=1</td><td>SF=5</td><td>SF=10</td><td>SF=15</td><td>SF=1</td><td>SF=10</td><td>SF=100</td><td>SF=200</td><td>SF=300</td><td>SF=400</td></tr>
<tr><td>T_LD</td><td>2.38</td><td>4.99</td><td>15.19</td><td>14.63</td><td>94.19</td><td>138.12</td><td>797.76</td><td>1729.97</td><td>2735.43</td><td>5993.25</td></tr>
<tr><td>T_PTT</td><td>91.18</td><td>352.61</td><td>905.16</td><td>1432.03</td><td>130.02</td><td>153.21</td><td>328.58</td><td>441.98</td><td>588.84</td><td>761.54</td></tr>
<tr><td>T_PST</td><td>9.92</td><td>23.11</td><td>52.39</td><td>65.33</td><td>58.59</td><td>64.07</td><td>77.70</td><td>91.27</td><td>96.30</td><td>105.02</td></tr>
<tr><td>TTT</td><td>14.26</td><td>38.04</td><td>97.62</td><td>165.86</td><td>35.70</td><td>41.66</td><td>58.19</td><td>84.34</td><td>102.42</td><td>124.46</td></tr>
<tr><td>AIUCpm@SF</td><td>45.28</td><td>85.10</td><td>65.51</td><td>73.31</td><td>8.43</td><td>69.20</td><td>323.37</td><td>433.22</td><td>506.99</td><td>485.61</td></tr>
</table>
|
| | Single-Node (Python) | | | | Multi-Node (Apache Spark) | | | | | |
|---|---|---|---|---|---|---|---|---|---|---|
| | SF=1 | SF=5 | SF=10 | SF=15 | SF=1 | SF=10 | SF=100 | SF=200 | SF=300 | SF=400 |
| T_LD | 2.38 | 4.99 | 15.19 | 14.63 | 94.19 | 138.12 | 797.76 | 1729.97 | 2735.43 | 5993.25 |
| T_PTT | 91.18 | 352.61 | 905.16 | 1432.03 | 130.02 | 153.21 | 328.58 | 441.98 | 588.84 | 761.54 |
| T_PST | 9.92 | 23.11 | 52.39 | 65.33 | 58.59 | 64.07 | 77.70 | 91.27 | 96.30 | 105.02 |
| TTT | 14.26 | 38.04 | 97.62 | 165.86 | 35.70 | 41.66 | 58.19 | 84.34 | 102.42 | 124.46 |
| AIUCpm@SF | 45.28 | 85.10 | 65.51 | 73.31 | 8.43 | 69.20 | 323.37 | 433.22 | 506.99 | 485.61 |
|
./datasets/realWorld_datasets/tables/images/arxiv_21_9643.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--21--9643--M0
|
For the TTT technique, what is the score for SF=10 under "Single-Node (Python)"
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{97.62}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td></td><td colspan=\"4\">Single-Node (Python)</td><td colspan=\"6\">Multi-Node (Apache Spark)</td></tr>\n<tr><td></td><td>SF=1</td><td>SF=5</td><td>SF=10</td><td>SF=15</td><td>SF=1</td><td>SF=10</td><td>SF=100</td><td>SF=200</td><td>SF=300</td><td>SF=400</td></tr>\n<tr><td>T_LD</td><td>2.38</td><td>4.99</td><td>15.19</td><td>14.63</td><td>94.19</td><td>138.12</td><td>797.76</td><td>1729.97</td><td>2735.43</td><td>5993.25</td></tr>\n<tr><td>T_PTT</td><td>91.18</td><td>352.61</td><td>905.16</td><td>1432.03</td><td>130.02</td><td>153.21</td><td>328.58</td><td>441.98</td><td>588.84</td><td>761.54</td></tr>\n<tr><td>T_PST</td><td>9.92</td><td>23.11</td><td>52.39</td><td>65.33</td><td>58.59</td><td>64.07</td><td>77.70</td><td>91.27</td><td>96.30</td><td>105.02</td></tr>\n<tr><td>TTT</td><td>14.26</td><td>38.04</td><td>97.62</td><td>165.86</td><td>35.70</td><td>41.66</td><td>58.19</td><td>84.34</td><td>102.42</td><td>124.46</td></tr>\n<tr><td>AIUCpm@SF</td><td>45.28</td><td>85.10</td><td>65.51</td><td>73.31</td><td>8.43</td><td>69.20</td><td>323.37</td><td>433.22</td><td>506.99</td><td>485.61</td></tr>\n</table>` \n\nQuestion: `For the TTT technique, what is the score for SF=10 under \"Single-Node (Python)\"` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td></td><td colspan=\"4\">Single-Node (Python)</td><td colspan=\"6\">Multi-Node (Apache Spark)</td></tr>\n<tr><td></td><td>SF=1</td><td>SF=5</td><td>SF=10</td><td>SF=15</td><td>SF=1</td><td>SF=10</td><td>SF=100</td><td>SF=200</td><td>SF=300</td><td>SF=400</td></tr>\n<tr><td>T_LD</td><td>2.38</td><td>4.99</td><td>15.19</td><td>14.63</td><td>94.19</td><td>138.12</td><td>797.76</td><td>1729.97</td><td>2735.43</td><td>5993.25</td></tr>\n<tr><td>T_PTT</td><td>91.18</td><td>352.61</td><td>905.16</td><td>1432.03</td><td>130.02</td><td>153.21</td><td>328.58</td><td>441.98</td><td>588.84</td><td>761.54</td></tr>\n<tr><td>T_PST</td><td>9.92</td><td>23.11</td><td>52.39</td><td>65.33</td><td>58.59</td><td>64.07</td><td>77.70</td><td>91.27</td><td>96.30</td><td>105.02</td></tr>\n<tr><td>TTT</td><td>14.26</td><td>38.04</td><td>97.62</td><td>165.86</td><td>35.70</td><td>41.66</td><td>58.19</td><td>84.34</td><td>102.42</td><td>124.46</td></tr>\n<tr><td>AIUCpm@SF</td><td>45.28</td><td>85.10</td><td>65.51</td><td>73.31</td><td>8.43</td><td>69.20</td><td>323.37</td><td>433.22</td><td>506.99</td><td>485.61</td></tr>\n</table>` \n\nQuestion: `For the TTT technique, what is the score for SF=10 under \"Single-Node (Python)\"` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--2--515
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--A1
|
What is the difference between the total number of economically active non-Qatari females in the 'Government Company/Corporation' sector and the 'Government Department' sector in 2012?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{2,378}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What is the difference between the total number of economically active non-Qatari females in the 'Government Company/Corporation' sector and the 'Government Department' sector in 2012?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What is the difference between the total number of economically active non-Qatari females in the 'Government Company/Corporation' sector and the 'Government Department' sector in 2012?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--2--515
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--M0
|
For the Financial and insurance activities, what is the total for the Private and Mixed Sectors
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{1,660}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `For the Financial and insurance activities, what is the total for the Private and Mixed Sectors` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `For the Financial and insurance activities, what is the total for the Private and Mixed Sectors` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--2--515
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--A5
|
What are the top 3 economic activities with the highest number of economically active non-Qatari females aged 15 years & above, and what are those numbers?
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{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
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{Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 90361} || {Education | 9525} || {Human health and social work activities | 8399}
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What are the top 3 economic activities with the highest number of economically active non-Qatari females aged 15 years & above, and what are those numbers?` \n\n # OUTPUT: \nAnswer:"}]
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[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What are the top 3 economic activities with the highest number of economically active non-Qatari females aged 15 years & above, and what are those numbers?` \n\n # OUTPUT: \nAnswer:"}]
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psa--2--515
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realWorldHCTs
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,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
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<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
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| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
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./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
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{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
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psa--2--515--M1
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For the non-zero activities in the Mixed Sector, Report the minimum and maximum values in the Mixed Sector
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "2", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": true, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "2", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
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{13} || {1,869}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `For the non-zero activities in the Mixed Sector, Report the minimum and maximum values in the Mixed Sector` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `For the non-zero activities in the Mixed Sector, Report the minimum and maximum values in the Mixed Sector` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--2--515
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--A2
|
Which 2 sectors had the highest total number of economically active non-Qatari females in 2012 and what were those totals?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 2}
|
{Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 90361} || {Education | 9525}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `Which 2 sectors had the highest total number of economically active non-Qatari females in 2012 and what were those totals?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `Which 2 sectors had the highest total number of economically active non-Qatari females in 2012 and what were those totals?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--2--515
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--A0
|
What are the Economic Activity sectors and their corresponding Total number where the Total is greater than 1000?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Mining and quarrying | 2184} || {Construction | 2849} || {Wholesale and retail trade; repair of motor vehicles and motorcycles | 5155} || {Transportation and storage | 5228} || {Accommodation and food service activities | 2797} || {Information and communication | 2127} || {Financial and insurance activities | 1746} || {Professional, scientific and technical activities | 1504} || {Administrative and support service activities | 1934} || {Public administration and defence; compulsory social security | 4316} || {Education | 9525} || {Human health and social work activities | 8399} || {Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 90361}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What are the Economic Activity sectors and their corresponding Total number where the Total is greater than 1000?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What are the Economic Activity sectors and their corresponding Total number where the Total is greater than 1000?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--2--515
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--A3
|
What were the total numbers for economically active non-Qatari females in the sectors of 'Mining and quarrying', 'Manufacturing', and 'Electricity, gas, steam and air conditioning supply' across 'Private', 'Government Company/Corporation', and 'Government Department'?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 3, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{2491}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What were the total numbers for economically active non-Qatari females in the sectors of 'Mining and quarrying', 'Manufacturing', and 'Electricity, gas, steam and air conditioning supply' across 'Private', 'Government Company/Corporation', and 'Government Department'?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What were the total numbers for economically active non-Qatari females in the sectors of 'Mining and quarrying', 'Manufacturing', and 'Electricity, gas, steam and air conditioning supply' across 'Private', 'Government Company/Corporation', and 'Government Department'?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--2--515
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Sector Economic Activity,Total,Domestic,Non profit,/ / Diplomatic/Int ernational/Re gional,Private,Mixed,/ Government Company / Corporation,Government Department
1,"Agriculture, forestry and fishing",55,0,0,0,55,0,0,0
2,Mining and quarrying,"2,184",0,0,0,177,434,"1,573",0
3,Manufacturing,580,0,0,0,374,206,0,0
4,"Electricity, gas, steam and air conditioning supply",380,0,0,0,0,13,367,0
5,Construction,"2,849",0,0,0,"2,849",0,0,0
6,Wholesale and retail trade; repair of motor vehicles and motorcycles,"5,155",0,0,0,"4,568",587,0,0
7,Transportation and storage,"5,228",0,0,0,849,"1,869","2,474",36
8,Accommodation and food service activities,"2,797",0,0,0,"2,311",0,486,0
9,Information and communication,"2,127",0,0,0,532,824,702,69
10,Financial and insurance activities,"1,746",0,0,0,"1,122",538,86,0
11,Real estate activities,283,0,0,0,193,90,0,0
12,"Professional, scientific and technical activities","1,504",0,0,0,"1,308",196,0,0
13,Administrative and support service activities,"1,934",0,0,0,"1,842",0,92,0
14,Public administration and defence; compulsory social security,"4,316",0,0,0,0,0,0,"4,316"
15,Education,"9,525",0,0,0,"7,414",0,0,"2,111"
16,Human health and social work activities,"8,399",0,17,0,"1,587",0,"5,023","1,772"
17,"Arts, entertainment and recreation",236,0,0,0,115,0,0,121
18,Other service activities,664,0,270,0,394,0,0,0
19,Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use,"90,361","90,361",0,0,0,0,0,0
20,Activities of extraterritorial organizations and bodies,325,0,0,325,0,0,0,0
21,Total,"140,648","90,361",287,325,"25,690","4,757","10,803","8,425"
|
<table id="0-1">
<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>
<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>
<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>
<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>
<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>
<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>
<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>
<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>
<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>
<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>
<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>
<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>
<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>
<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>
<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>
<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>
<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>
<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>
</table>
|
| Sector Economic Activity | Total | Domestic | Non profit | / / Diplomatic/Int ernational/Re gional | Private | Mixed | / Government Company / Corporation | Government Department | (diagonal text) |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fishing | 55 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | |
| Mining and quarrying | 2,184 | 0 | 0 | 0 | 177 | 434 | 1,573 | 0 | |
| Manufacturing | 580 | 0 | 0 | 0 | 374 | 206 | 0 | 0 | |
| Electricity, gas, steam and air conditioning supply | 380 | 0 | 0 | 0 | 0 | 13 | 367 | 0 | |
| Construction | 2,849 | 0 | 0 | 0 | 2,849 | 0 | 0 | 0 | |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 5,155 | 0 | 0 | 0 | 4,568 | 587 | 0 | 0 | |
| Transportation and storage | 5,228 | 0 | 0 | 0 | 849 | 1,869 | 2,474 | 36 | |
| Accommodation and food service activities | 2,797 | 0 | 0 | 0 | 2,311 | 0 | 486 | 0 | |
| Information and communication | 2,127 | 0 | 0 | 0 | 532 | 824 | 702 | 69 | |
| Financial and insurance activities | 1,746 | 0 | 0 | 0 | 1,122 | 538 | 86 | 0 | |
| Real estate activities | 283 | 0 | 0 | 0 | 193 | 90 | 0 | 0 | |
| Professional, scientific and technical activities | 1,504 | 0 | 0 | 0 | 1,308 | 196 | 0 | 0 | |
| Administrative and support service activities | 1,934 | 0 | 0 | 0 | 1,842 | 0 | 92 | 0 | |
| Public administration and defence; compulsory social security | 4,316 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | |
| Education | 9,525 | 0 | 0 | 0 | 7,414 | 0 | 0 | 2,111 | |
| Human health and social work activities | 8,399 | 0 | 17 | 0 | 1,587 | 0 | 5,023 | 1,772 | |
| Arts, entertainment and recreation | 236 | 0 | 0 | 0 | 115 | 0 | 0 | 121 | |
| Other service activities | 664 | 0 | 270 | 0 | 394 | 0 | 0 | 0 | |
| Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use | 90,361 | 90,361 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Activities of extraterritorial organizations and bodies | 325 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | |
| Total | 140,648 | 90,361 | 287 | 325 | 25,690 | 4,757 | 10,803 | 8,425 | |
|
./datasets/realWorld_datasets/tables/images/psa_2_515.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--2--515--A4
|
What are the sectors where the total number of economically active non-Qatari females aged 15 years & above is greater than 2,000?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
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{Mining and quarrying} || {Construction} || {Wholesale and retail trade; repair of motor vehicles and motorcycles} || {Transportation and storage} || {Accommodation and food service activities} || {Information and communication} || {Public administration and defence; compulsory social security} || {Education} || {Human health and social work activities} || {Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What are the sectors where the total number of economically active non-Qatari females aged 15 years & above is greater than 2,000?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Sector Economic Activity</td><td>Total</td><td>Domestic</td><td>Non profit</td><td>/ / Diplomatic/Int ernational/Re gional</td><td>Private</td><td>Mixed</td><td>/ Government Company / Corporation</td><td>Government Department</td><td>(diagonal text)</td></tr>\n<tr><td>Agriculture, forestry and fishing</td><td>55</td><td>0</td><td>0</td><td>0</td><td>55</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Mining and quarrying</td><td>2,184</td><td>0</td><td>0</td><td>0</td><td>177</td><td>434</td><td>1,573</td><td>0</td></tr>\n<tr><td>Manufacturing</td><td>580</td><td>0</td><td>0</td><td>0</td><td>374</td><td>206</td><td>0</td><td>0</td></tr>\n<tr><td>Electricity, gas, steam and air conditioning supply</td><td>380</td><td>0</td><td>0</td><td>0</td><td>0</td><td>13</td><td>367</td><td>0</td></tr>\n<tr><td>Construction</td><td>2,849</td><td>0</td><td>0</td><td>0</td><td>2,849</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>5,155</td><td>0</td><td>0</td><td>0</td><td>4,568</td><td>587</td><td>0</td><td>0</td></tr>\n<tr><td>Transportation and storage</td><td>5,228</td><td>0</td><td>0</td><td>0</td><td>849</td><td>1,869</td><td>2,474</td><td>36</td></tr>\n<tr><td>Accommodation and food service activities</td><td>2,797</td><td>0</td><td>0</td><td>0</td><td>2,311</td><td>0</td><td>486</td><td>0</td></tr>\n<tr><td>Information and communication</td><td>2,127</td><td>0</td><td>0</td><td>0</td><td>532</td><td>824</td><td>702</td><td>69</td></tr>\n<tr><td>Financial and insurance activities</td><td>1,746</td><td>0</td><td>0</td><td>0</td><td>1,122</td><td>538</td><td>86</td><td>0</td></tr>\n<tr><td>Real estate activities</td><td>283</td><td>0</td><td>0</td><td>0</td><td>193</td><td>90</td><td>0</td><td>0</td></tr>\n<tr><td>Professional, scientific and technical activities</td><td>1,504</td><td>0</td><td>0</td><td>0</td><td>1,308</td><td>196</td><td>0</td><td>0</td></tr>\n<tr><td>Administrative and support service activities</td><td>1,934</td><td>0</td><td>0</td><td>0</td><td>1,842</td><td>0</td><td>92</td><td>0</td></tr>\n<tr><td>Public administration and defence; compulsory social security</td><td>4,316</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4,316</td></tr>\n<tr><td>Education</td><td>9,525</td><td>0</td><td>0</td><td>0</td><td>7,414</td><td>0</td><td>0</td><td>2,111</td></tr>\n<tr><td>Human health and social work activities</td><td>8,399</td><td>0</td><td>17</td><td>0</td><td>1,587</td><td>0</td><td>5,023</td><td>1,772</td></tr>\n<tr><td>Arts, entertainment and recreation</td><td>236</td><td>0</td><td>0</td><td>0</td><td>115</td><td>0</td><td>0</td><td>121</td></tr>\n<tr><td>Other service activities</td><td>664</td><td>0</td><td>270</td><td>0</td><td>394</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of households as employers; undifferentiated goods- and services- producing activities of households for own use</td><td>90,361</td><td>90,361</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Activities of extraterritorial organizations and bodies</td><td>325</td><td>0</td><td>0</td><td>325</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n<tr><td>Total</td><td>140,648</td><td>90,361</td><td>287</td><td>325</td><td>25,690</td><td>4,757</td><td>10,803</td><td>8,425</td></tr>\n</table>` \n\nQuestion: `What are the sectors where the total number of economically active non-Qatari females aged 15 years & above is greater than 2,000?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--16--1957
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realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14
0,Stage,Method,GS,GD,GX,HI,HN,JL,SD,SC,ZJ,AP50,AP75,FPS,Year
1,Single,Gliding Vertex [32],55.5,51.1,62.0,61.0,63.8,70.8,58.2,39.3,55.6,55.8,25.9,10.5,2020
2,__,KLD [31],53.3,51.5,63.0,61.1,64.0,70.9,57.6,41.2,55.9,56.0,30.0,9.3,2021
3,__,KFIoU [30],55.5,52.2,62.9,61.6,65.1,73.0,58.8,39.5,55.1,56.4,27.7,14.4,2022
4,Multi,FR-O [6]],56.5,52.1,62.8,62.2,64.9,72.0,58.9,40.6,56.9,56.8,29.2,19.7,2017
5,__,RoI-Transformer [27],56.7,51.8,62.3,61.9,65.0,72.4,58.7,40.2,55.7,56.6,32.2,19.1,2019
6,__,OR-CNN [26],56.0,52.0,62.9,62.0,64.6,72.4,58.6,40.1,55.1,56.4,31.5,18.6,2021
7,__,CR-O [25],55.2,51.3,61.1,61.8,64.6,71.1,56.9,39.5,54.8,55.6,33.9,11.5,-
8,__,CEDet (Ours),57.1,53.9,64.0,63.8,66.3,74.4,61.3,42.8,57.8,58.5,34.1,8.9,
|
<table id="0-1">
<tr><td>Stage</td><td>Method</td><td>GS</td><td>GD</td><td>GX</td><td>HI</td><td>HN</td><td>JL</td><td>SD</td><td>SC</td><td>ZJ</td><td>AP50</td><td>AP75</td><td>FPS</td><td>Year</td></tr>
<tr><td rowspan="3">Single</td><td>Gliding Vertex [32]</td><td>55.5</td><td>51.1</td><td>62.0</td><td>61.0</td><td>63.8</td><td>70.8</td><td>58.2</td><td>39.3</td><td>55.6</td><td>55.8</td><td>25.9</td><td>10.5</td><td>2020</td></tr>
<tr><td>KLD [31]</td><td>53.3</td><td>51.5</td><td>63.0</td><td>61.1</td><td>64.0</td><td>70.9</td><td>57.6</td><td>41.2</td><td>55.9</td><td>56.0</td><td>30.0</td><td>9.3</td><td>2021</td></tr>
<tr><td>KFIOU [30]</td><td>55.5</td><td>52.2</td><td>62.9</td><td>61.6</td><td>65.1</td><td>73.0</td><td>58.8</td><td>39.5</td><td>55.1</td><td>56.4</td><td>27.7</td><td>14.4</td><td>2022</td></tr>
<tr><td rowspan="5">Multi</td><td>FR-O [61]</td><td>56.5</td><td>52.1</td><td>62.8</td><td>62.2</td><td>64.9</td><td>72.0</td><td>58.9</td><td>40.6</td><td>56.9</td><td>56.8</td><td>29.2</td><td>19.7</td><td>2017</td></tr>
<tr><td>RoI-Transformer [27]</td><td>56.7</td><td>51.8</td><td>62.3</td><td>61.9</td><td>65.0</td><td>72.4</td><td>58.7</td><td>40.2</td><td>55.7</td><td>56.6</td><td>32.2</td><td>19.1</td><td>2019</td></tr>
<tr><td>OR-CNN [26]</td><td>56.0</td><td>52.0</td><td>62.9</td><td>62.0</td><td>64.6</td><td>72.4</td><td>58.6</td><td>40.1</td><td>55.1</td><td>56.4</td><td>31.5</td><td>18.6</td><td>2021</td></tr>
<tr><td>CR-O [25]</td><td>55.2</td><td>51.3</td><td>61.1</td><td>61.8</td><td>64.6</td><td>71.1</td><td>56.9</td><td>39.5</td><td>54.8</td><td>55.6</td><td>33.9</td><td>11.5</td><td></td></tr>
<tr><td>CEDet (Ours)</td><td>57.1</td><td>53.9</td><td>64.0</td><td>63.8</td><td>66.3</td><td>74.4</td><td>61.3</td><td>42.8</td><td>57.8</td><td>58.5</td><td>34.1</td><td>8.9</td><td></td></tr>
</table>
|
| Stage | Method | GS | GD | GX | HI | HN | JL | SD | SC | ZJ | AP50 | AP75 | FPS | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Single | Gliding Vertex [32] | 55.5 | 51.1 | 62.0 | 61.0 | 63.8 | 70.8 | 58.2 | 39.3 | 55.6 | 55.8 | 25.9 | 10.5 | 2020 |
| | KLD [31] | 53.3 | 51.5 | 63.0 | 61.1 | 64.0 | 70.9 | 57.6 | 41.2 | 55.9 | 56.0 | 30.0 | 9.3 | 2021 |
| | KFIOU [30] | 55.5 | 52.2 | 62.9 | 61.6 | 65.1 | 73.0 | 58.8 | 39.5 | 55.1 | 56.4 | 27.7 | 14.4 | 2022 |
| Multi | FR-O [61] | 56.5 | 52.1 | 62.8 | 62.2 | 64.9 | 72.0 | 58.9 | 40.6 | 56.9 | 56.8 | 29.2 | 19.7 | 2017 |
| | RoI-Transformer [27] | 56.7 | 51.8 | 62.3 | 61.9 | 65.0 | 72.4 | 58.7 | 40.2 | 55.7 | 56.6 | 32.2 | 19.1 | 2019 |
| | OR-CNN [26] | 56.0 | 52.0 | 62.9 | 62.0 | 64.6 | 72.4 | 58.6 | 40.1 | 55.1 | 56.4 | 31.5 | 18.6 | 2021 |
| | CR-O [25] | 55.2 | 51.3 | 61.1 | 61.8 | 64.6 | 71.1 | 56.9 | 39.5 | 54.8 | 55.6 | 33.9 | 11.5 | |
| | CEDet (Ours) | 57.1 | 53.9 | 64.0 | 63.8 | 66.3 | 74.4 | 61.3 | 42.8 | 57.8 | 58.5 | 34.1 | 8.9 | |
|
./datasets/realWorld_datasets/tables/images/arxiv_16_1957.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--16--1957--M1
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What is the minimum FPS number across all experiments?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{8.9}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Stage</td><td>Method</td><td>GS</td><td>GD</td><td>GX</td><td>HI</td><td>HN</td><td>JL</td><td>SD</td><td>SC</td><td>ZJ</td><td>AP50</td><td>AP75</td><td>FPS</td><td>Year</td></tr>\n<tr><td rowspan=\"3\">Single</td><td>Gliding Vertex [32]</td><td>55.5</td><td>51.1</td><td>62.0</td><td>61.0</td><td>63.8</td><td>70.8</td><td>58.2</td><td>39.3</td><td>55.6</td><td>55.8</td><td>25.9</td><td>10.5</td><td>2020</td></tr>\n<tr><td>KLD [31]</td><td>53.3</td><td>51.5</td><td>63.0</td><td>61.1</td><td>64.0</td><td>70.9</td><td>57.6</td><td>41.2</td><td>55.9</td><td>56.0</td><td>30.0</td><td>9.3</td><td>2021</td></tr>\n<tr><td>KFIOU [30]</td><td>55.5</td><td>52.2</td><td>62.9</td><td>61.6</td><td>65.1</td><td>73.0</td><td>58.8</td><td>39.5</td><td>55.1</td><td>56.4</td><td>27.7</td><td>14.4</td><td>2022</td></tr>\n<tr><td rowspan=\"5\">Multi</td><td>FR-O [61]</td><td>56.5</td><td>52.1</td><td>62.8</td><td>62.2</td><td>64.9</td><td>72.0</td><td>58.9</td><td>40.6</td><td>56.9</td><td>56.8</td><td>29.2</td><td>19.7</td><td>2017</td></tr>\n<tr><td>RoI-Transformer [27]</td><td>56.7</td><td>51.8</td><td>62.3</td><td>61.9</td><td>65.0</td><td>72.4</td><td>58.7</td><td>40.2</td><td>55.7</td><td>56.6</td><td>32.2</td><td>19.1</td><td>2019</td></tr>\n<tr><td>OR-CNN [26]</td><td>56.0</td><td>52.0</td><td>62.9</td><td>62.0</td><td>64.6</td><td>72.4</td><td>58.6</td><td>40.1</td><td>55.1</td><td>56.4</td><td>31.5</td><td>18.6</td><td>2021</td></tr>\n<tr><td>CR-O [25]</td><td>55.2</td><td>51.3</td><td>61.1</td><td>61.8</td><td>64.6</td><td>71.1</td><td>56.9</td><td>39.5</td><td>54.8</td><td>55.6</td><td>33.9</td><td>11.5</td><td></td></tr>\n<tr><td>CEDet (Ours)</td><td>57.1</td><td>53.9</td><td>64.0</td><td>63.8</td><td>66.3</td><td>74.4</td><td>61.3</td><td>42.8</td><td>57.8</td><td>58.5</td><td>34.1</td><td>8.9</td><td></td></tr>\n</table>` \n\nQuestion: `What is the minimum FPS number across all experiments?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Stage</td><td>Method</td><td>GS</td><td>GD</td><td>GX</td><td>HI</td><td>HN</td><td>JL</td><td>SD</td><td>SC</td><td>ZJ</td><td>AP50</td><td>AP75</td><td>FPS</td><td>Year</td></tr>\n<tr><td rowspan=\"3\">Single</td><td>Gliding Vertex [32]</td><td>55.5</td><td>51.1</td><td>62.0</td><td>61.0</td><td>63.8</td><td>70.8</td><td>58.2</td><td>39.3</td><td>55.6</td><td>55.8</td><td>25.9</td><td>10.5</td><td>2020</td></tr>\n<tr><td>KLD [31]</td><td>53.3</td><td>51.5</td><td>63.0</td><td>61.1</td><td>64.0</td><td>70.9</td><td>57.6</td><td>41.2</td><td>55.9</td><td>56.0</td><td>30.0</td><td>9.3</td><td>2021</td></tr>\n<tr><td>KFIOU [30]</td><td>55.5</td><td>52.2</td><td>62.9</td><td>61.6</td><td>65.1</td><td>73.0</td><td>58.8</td><td>39.5</td><td>55.1</td><td>56.4</td><td>27.7</td><td>14.4</td><td>2022</td></tr>\n<tr><td rowspan=\"5\">Multi</td><td>FR-O [61]</td><td>56.5</td><td>52.1</td><td>62.8</td><td>62.2</td><td>64.9</td><td>72.0</td><td>58.9</td><td>40.6</td><td>56.9</td><td>56.8</td><td>29.2</td><td>19.7</td><td>2017</td></tr>\n<tr><td>RoI-Transformer [27]</td><td>56.7</td><td>51.8</td><td>62.3</td><td>61.9</td><td>65.0</td><td>72.4</td><td>58.7</td><td>40.2</td><td>55.7</td><td>56.6</td><td>32.2</td><td>19.1</td><td>2019</td></tr>\n<tr><td>OR-CNN [26]</td><td>56.0</td><td>52.0</td><td>62.9</td><td>62.0</td><td>64.6</td><td>72.4</td><td>58.6</td><td>40.1</td><td>55.1</td><td>56.4</td><td>31.5</td><td>18.6</td><td>2021</td></tr>\n<tr><td>CR-O [25]</td><td>55.2</td><td>51.3</td><td>61.1</td><td>61.8</td><td>64.6</td><td>71.1</td><td>56.9</td><td>39.5</td><td>54.8</td><td>55.6</td><td>33.9</td><td>11.5</td><td></td></tr>\n<tr><td>CEDet (Ours)</td><td>57.1</td><td>53.9</td><td>64.0</td><td>63.8</td><td>66.3</td><td>74.4</td><td>61.3</td><td>42.8</td><td>57.8</td><td>58.5</td><td>34.1</td><td>8.9</td><td></td></tr>\n</table>` \n\nQuestion: `What is the minimum FPS number across all experiments?` \n\n # OUTPUT: \nAnswer:"}]
|
|
arxiv--16--1957
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14
0,Stage,Method,GS,GD,GX,HI,HN,JL,SD,SC,ZJ,AP50,AP75,FPS,Year
1,Single,Gliding Vertex [32],55.5,51.1,62.0,61.0,63.8,70.8,58.2,39.3,55.6,55.8,25.9,10.5,2020
2,__,KLD [31],53.3,51.5,63.0,61.1,64.0,70.9,57.6,41.2,55.9,56.0,30.0,9.3,2021
3,__,KFIoU [30],55.5,52.2,62.9,61.6,65.1,73.0,58.8,39.5,55.1,56.4,27.7,14.4,2022
4,Multi,FR-O [6]],56.5,52.1,62.8,62.2,64.9,72.0,58.9,40.6,56.9,56.8,29.2,19.7,2017
5,__,RoI-Transformer [27],56.7,51.8,62.3,61.9,65.0,72.4,58.7,40.2,55.7,56.6,32.2,19.1,2019
6,__,OR-CNN [26],56.0,52.0,62.9,62.0,64.6,72.4,58.6,40.1,55.1,56.4,31.5,18.6,2021
7,__,CR-O [25],55.2,51.3,61.1,61.8,64.6,71.1,56.9,39.5,54.8,55.6,33.9,11.5,-
8,__,CEDet (Ours),57.1,53.9,64.0,63.8,66.3,74.4,61.3,42.8,57.8,58.5,34.1,8.9,
|
<table id="0-1">
<tr><td>Stage</td><td>Method</td><td>GS</td><td>GD</td><td>GX</td><td>HI</td><td>HN</td><td>JL</td><td>SD</td><td>SC</td><td>ZJ</td><td>AP50</td><td>AP75</td><td>FPS</td><td>Year</td></tr>
<tr><td rowspan="3">Single</td><td>Gliding Vertex [32]</td><td>55.5</td><td>51.1</td><td>62.0</td><td>61.0</td><td>63.8</td><td>70.8</td><td>58.2</td><td>39.3</td><td>55.6</td><td>55.8</td><td>25.9</td><td>10.5</td><td>2020</td></tr>
<tr><td>KLD [31]</td><td>53.3</td><td>51.5</td><td>63.0</td><td>61.1</td><td>64.0</td><td>70.9</td><td>57.6</td><td>41.2</td><td>55.9</td><td>56.0</td><td>30.0</td><td>9.3</td><td>2021</td></tr>
<tr><td>KFIOU [30]</td><td>55.5</td><td>52.2</td><td>62.9</td><td>61.6</td><td>65.1</td><td>73.0</td><td>58.8</td><td>39.5</td><td>55.1</td><td>56.4</td><td>27.7</td><td>14.4</td><td>2022</td></tr>
<tr><td rowspan="5">Multi</td><td>FR-O [61]</td><td>56.5</td><td>52.1</td><td>62.8</td><td>62.2</td><td>64.9</td><td>72.0</td><td>58.9</td><td>40.6</td><td>56.9</td><td>56.8</td><td>29.2</td><td>19.7</td><td>2017</td></tr>
<tr><td>RoI-Transformer [27]</td><td>56.7</td><td>51.8</td><td>62.3</td><td>61.9</td><td>65.0</td><td>72.4</td><td>58.7</td><td>40.2</td><td>55.7</td><td>56.6</td><td>32.2</td><td>19.1</td><td>2019</td></tr>
<tr><td>OR-CNN [26]</td><td>56.0</td><td>52.0</td><td>62.9</td><td>62.0</td><td>64.6</td><td>72.4</td><td>58.6</td><td>40.1</td><td>55.1</td><td>56.4</td><td>31.5</td><td>18.6</td><td>2021</td></tr>
<tr><td>CR-O [25]</td><td>55.2</td><td>51.3</td><td>61.1</td><td>61.8</td><td>64.6</td><td>71.1</td><td>56.9</td><td>39.5</td><td>54.8</td><td>55.6</td><td>33.9</td><td>11.5</td><td></td></tr>
<tr><td>CEDet (Ours)</td><td>57.1</td><td>53.9</td><td>64.0</td><td>63.8</td><td>66.3</td><td>74.4</td><td>61.3</td><td>42.8</td><td>57.8</td><td>58.5</td><td>34.1</td><td>8.9</td><td></td></tr>
</table>
|
| Stage | Method | GS | GD | GX | HI | HN | JL | SD | SC | ZJ | AP50 | AP75 | FPS | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Single | Gliding Vertex [32] | 55.5 | 51.1 | 62.0 | 61.0 | 63.8 | 70.8 | 58.2 | 39.3 | 55.6 | 55.8 | 25.9 | 10.5 | 2020 |
| | KLD [31] | 53.3 | 51.5 | 63.0 | 61.1 | 64.0 | 70.9 | 57.6 | 41.2 | 55.9 | 56.0 | 30.0 | 9.3 | 2021 |
| | KFIOU [30] | 55.5 | 52.2 | 62.9 | 61.6 | 65.1 | 73.0 | 58.8 | 39.5 | 55.1 | 56.4 | 27.7 | 14.4 | 2022 |
| Multi | FR-O [61] | 56.5 | 52.1 | 62.8 | 62.2 | 64.9 | 72.0 | 58.9 | 40.6 | 56.9 | 56.8 | 29.2 | 19.7 | 2017 |
| | RoI-Transformer [27] | 56.7 | 51.8 | 62.3 | 61.9 | 65.0 | 72.4 | 58.7 | 40.2 | 55.7 | 56.6 | 32.2 | 19.1 | 2019 |
| | OR-CNN [26] | 56.0 | 52.0 | 62.9 | 62.0 | 64.6 | 72.4 | 58.6 | 40.1 | 55.1 | 56.4 | 31.5 | 18.6 | 2021 |
| | CR-O [25] | 55.2 | 51.3 | 61.1 | 61.8 | 64.6 | 71.1 | 56.9 | 39.5 | 54.8 | 55.6 | 33.9 | 11.5 | |
| | CEDet (Ours) | 57.1 | 53.9 | 64.0 | 63.8 | 66.3 | 74.4 | 61.3 | 42.8 | 57.8 | 58.5 | 34.1 | 8.9 | |
|
./datasets/realWorld_datasets/tables/images/arxiv_16_1957.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": true, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
arxiv--16--1957--M0
|
What is the GS result for Single KLD
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{53.3}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Stage</td><td>Method</td><td>GS</td><td>GD</td><td>GX</td><td>HI</td><td>HN</td><td>JL</td><td>SD</td><td>SC</td><td>ZJ</td><td>AP50</td><td>AP75</td><td>FPS</td><td>Year</td></tr>\n<tr><td rowspan=\"3\">Single</td><td>Gliding Vertex [32]</td><td>55.5</td><td>51.1</td><td>62.0</td><td>61.0</td><td>63.8</td><td>70.8</td><td>58.2</td><td>39.3</td><td>55.6</td><td>55.8</td><td>25.9</td><td>10.5</td><td>2020</td></tr>\n<tr><td>KLD [31]</td><td>53.3</td><td>51.5</td><td>63.0</td><td>61.1</td><td>64.0</td><td>70.9</td><td>57.6</td><td>41.2</td><td>55.9</td><td>56.0</td><td>30.0</td><td>9.3</td><td>2021</td></tr>\n<tr><td>KFIOU [30]</td><td>55.5</td><td>52.2</td><td>62.9</td><td>61.6</td><td>65.1</td><td>73.0</td><td>58.8</td><td>39.5</td><td>55.1</td><td>56.4</td><td>27.7</td><td>14.4</td><td>2022</td></tr>\n<tr><td rowspan=\"5\">Multi</td><td>FR-O [61]</td><td>56.5</td><td>52.1</td><td>62.8</td><td>62.2</td><td>64.9</td><td>72.0</td><td>58.9</td><td>40.6</td><td>56.9</td><td>56.8</td><td>29.2</td><td>19.7</td><td>2017</td></tr>\n<tr><td>RoI-Transformer [27]</td><td>56.7</td><td>51.8</td><td>62.3</td><td>61.9</td><td>65.0</td><td>72.4</td><td>58.7</td><td>40.2</td><td>55.7</td><td>56.6</td><td>32.2</td><td>19.1</td><td>2019</td></tr>\n<tr><td>OR-CNN [26]</td><td>56.0</td><td>52.0</td><td>62.9</td><td>62.0</td><td>64.6</td><td>72.4</td><td>58.6</td><td>40.1</td><td>55.1</td><td>56.4</td><td>31.5</td><td>18.6</td><td>2021</td></tr>\n<tr><td>CR-O [25]</td><td>55.2</td><td>51.3</td><td>61.1</td><td>61.8</td><td>64.6</td><td>71.1</td><td>56.9</td><td>39.5</td><td>54.8</td><td>55.6</td><td>33.9</td><td>11.5</td><td></td></tr>\n<tr><td>CEDet (Ours)</td><td>57.1</td><td>53.9</td><td>64.0</td><td>63.8</td><td>66.3</td><td>74.4</td><td>61.3</td><td>42.8</td><td>57.8</td><td>58.5</td><td>34.1</td><td>8.9</td><td></td></tr>\n</table>` \n\nQuestion: `What is the GS result for Single KLD` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Stage</td><td>Method</td><td>GS</td><td>GD</td><td>GX</td><td>HI</td><td>HN</td><td>JL</td><td>SD</td><td>SC</td><td>ZJ</td><td>AP50</td><td>AP75</td><td>FPS</td><td>Year</td></tr>\n<tr><td rowspan=\"3\">Single</td><td>Gliding Vertex [32]</td><td>55.5</td><td>51.1</td><td>62.0</td><td>61.0</td><td>63.8</td><td>70.8</td><td>58.2</td><td>39.3</td><td>55.6</td><td>55.8</td><td>25.9</td><td>10.5</td><td>2020</td></tr>\n<tr><td>KLD [31]</td><td>53.3</td><td>51.5</td><td>63.0</td><td>61.1</td><td>64.0</td><td>70.9</td><td>57.6</td><td>41.2</td><td>55.9</td><td>56.0</td><td>30.0</td><td>9.3</td><td>2021</td></tr>\n<tr><td>KFIOU [30]</td><td>55.5</td><td>52.2</td><td>62.9</td><td>61.6</td><td>65.1</td><td>73.0</td><td>58.8</td><td>39.5</td><td>55.1</td><td>56.4</td><td>27.7</td><td>14.4</td><td>2022</td></tr>\n<tr><td rowspan=\"5\">Multi</td><td>FR-O [61]</td><td>56.5</td><td>52.1</td><td>62.8</td><td>62.2</td><td>64.9</td><td>72.0</td><td>58.9</td><td>40.6</td><td>56.9</td><td>56.8</td><td>29.2</td><td>19.7</td><td>2017</td></tr>\n<tr><td>RoI-Transformer [27]</td><td>56.7</td><td>51.8</td><td>62.3</td><td>61.9</td><td>65.0</td><td>72.4</td><td>58.7</td><td>40.2</td><td>55.7</td><td>56.6</td><td>32.2</td><td>19.1</td><td>2019</td></tr>\n<tr><td>OR-CNN [26]</td><td>56.0</td><td>52.0</td><td>62.9</td><td>62.0</td><td>64.6</td><td>72.4</td><td>58.6</td><td>40.1</td><td>55.1</td><td>56.4</td><td>31.5</td><td>18.6</td><td>2021</td></tr>\n<tr><td>CR-O [25]</td><td>55.2</td><td>51.3</td><td>61.1</td><td>61.8</td><td>64.6</td><td>71.1</td><td>56.9</td><td>39.5</td><td>54.8</td><td>55.6</td><td>33.9</td><td>11.5</td><td></td></tr>\n<tr><td>CEDet (Ours)</td><td>57.1</td><td>53.9</td><td>64.0</td><td>63.8</td><td>66.3</td><td>74.4</td><td>61.3</td><td>42.8</td><td>57.8</td><td>58.5</td><td>34.1</td><td>8.9</td><td></td></tr>\n</table>` \n\nQuestion: `What is the GS result for Single KLD` \n\n # OUTPUT: \nAnswer:"}]
|
|
census--2--3680
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Type of beneficiary,1990,1995,1997,1998,1999,2000,2001,2002
1,Total disbursements,"109,709","180,096","210,359","213,411","211,959","219,276","241,175","256,856"
2,Hospital insurance disbursements .,"66,687","114,883","137,836","137,140","131,441","130,284","141,723","148,031"
3,Benefits.,"65,721","113,395","136,007","134,321","129,107","125,992","135,979","144,140"
4,Aged,"58,503","100,107","120,091","118,346","113,328","110,241","118,835","125,262"
5,Disabled.,"7,218","13,288","15,916","15,975","15,779","15,751","17,144","18,878"
6,Disabled,"6,467","12,300","14,755","14,850","14,745","14,719","16,010","17,613"
7,ESRD 1,751,988,"1,161","1,125","1,034","1,032","1,135","1,265"
8,Home health transfer 2,,,,978,179,"1,706","3,103","1,168"
9,Peer review activity .,191,189,168,188,177,236,274,259
10,Administrative expenses,774,"1,300","1,661","1,653","1,978","2,350","2,368","2,464"
11,Supplementary medical insurance disbursements,"43,022","65,213","72,523","76,271","80,518","88,992","99,452","108,825"
12,Benefits.,"41,498","63,491","71,102","75,815","79,187","88,918","100,569","108,163"
13,Aged .,"36,837","54,830","60,957","65,115","67,963","76,334","86,093","91,660"
14,Disabled.,"4,661","8,660","10,129","10,666","11,187","12,542","14,420","16,407"
15,Disabled,"3,758","7,363","8,683","9,279","9,850","11,063","12,753","14,510"
16,ESRD 1,903,"1,297","1,446","1,387","1,337","1,479","1,667","1,898"
17,Home health transfer 2,,,,-978,-179,"-1,706","-3,103","-1,168"
18,Peer review activity,,2,16,33,36,43,55,95
19,Administrative expenses .,"1,524","1,722","1,420","1,435","1,510","1,780","1,986","1,830"
|
<table id="0-1">
<tr><td>Type of beneficiary</td><td>1990</td><td>1995</td><td>1997</td><td>1998</td><td>1999</td><td>2000</td><td>2001</td><td>2002</td></tr>
<tr><td>Total disbursements . . . . . . . . . .</td><td>109,709</td><td>180,096</td><td>210,359</td><td>213,411</td><td>211,959</td><td>219,276</td><td>241,175</td><td>256,856</td></tr>
<tr><td>Hospital insurance disbursements . .</td><td>66,687</td><td>114,883</td><td>137,836</td><td>137,140</td><td>131,441</td><td>130,284</td><td>141,723</td><td>148,031</td></tr>
<tr><td>Benefits. . . . . . . . . . .</td><td>65,721</td><td>113,395</td><td>136,007</td><td>134,321</td><td>129,107</td><td>125,992</td><td>135,979</td><td>144,140</td></tr>
<tr><td>Aged . . . . . . . . . .</td><td>58,503</td><td>100,107</td><td>120,091</td><td>118,346</td><td>113,328</td><td>110,241</td><td>118,835</td><td>125,262</td></tr>
<tr><td>Disabled.</td><td>7,218</td><td>13,288</td><td>15,916</td><td>15,975</td><td>15,779</td><td>15,751</td><td>17,144</td><td>18,878</td></tr>
<tr><td>Disabled</td><td>6,467</td><td>12,300</td><td>14,755</td><td>14,850</td><td>14,745</td><td>14,719</td><td>16,010</td><td>17,613</td></tr>
<tr><td>ESRD</td><td>751</td><td>988</td><td>1,161</td><td>1,125</td><td>1,034</td><td>1,032</td><td>1,135</td><td>1,265</td></tr>
<tr><td>Home health transfer ²</td><td></td><td></td><td></td><td>978</td><td>179</td><td>1,706</td><td>3,103</td><td>1,168</td></tr>
<tr><td>Peer review activity</td><td>191</td><td>189</td><td>168</td><td>188</td><td>177</td><td>236</td><td>274</td><td>259</td></tr>
<tr><td>Administrative expenses³</td><td>774</td><td>1,300</td><td>1,661</td><td>1,653</td><td>1,978</td><td>2,350</td><td>2,368</td><td>2,464</td></tr>
<tr><td>Supplementary medical insurance disbursements ¹</td><td>43,022</td><td>65,213</td><td>72,523</td><td>76,271</td><td>80,518</td><td>88,992</td><td>99,452</td><td>108,825</td></tr>
<tr><td>Benefits.</td><td>41,498</td><td>63,491</td><td>71,102</td><td>75,815</td><td>79,187</td><td>88,918</td><td>100,569</td><td>108,163</td></tr>
<tr><td>Aged.</td><td>36,837</td><td>54,830</td><td>60,957</td><td>65,115</td><td>67,963</td><td>76,334</td><td>86,093</td><td>91,660</td></tr>
<tr><td>Disabled.</td><td>4,661</td><td>8,660</td><td>10,129</td><td>10,666</td><td>11,187</td><td>12,542</td><td>14,420</td><td>16,407</td></tr>
<tr><td>Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td><td></td><td></td><td></td><td></td><td>9,850</td><td>11,063</td><td>12,753</td><td>14,510</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>1,337</td><td>1,479</td><td>1,667</td><td>1,898</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>-179</td><td>-1,706</td><td>-3,103</td><td>-1,168</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>36</td><td>43</td><td>55</td><td>95</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>1,510</td><td>1,780</td><td>1,986</td><td>1,830</td></tr>
</table>
|
| Type of beneficiary | 1990 | 1995 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 |
|---|---|---|---|---|---|---|---|---|
| Total disbursements . . . . . . . . . . | 109,709 | 180,096 | 210,359 | 213,411 | 211,959 | 219,276 | 241,175 | 256,856 |
| Hospital insurance disbursements . . | 66,687 | 114,883 | 137,836 | 137,140 | 131,441 | 130,284 | 141,723 | 148,031 |
| Benefits. . . . . . . . . . . | 65,721 | 113,395 | 136,007 | 134,321 | 129,107 | 125,992 | 135,979 | 144,140 |
| Aged . . . . . . . . . . | 58,503 | 100,107 | 120,091 | 118,346 | 113,328 | 110,241 | 118,835 | 125,262 |
| Disabled. | 7,218 | 13,288 | 15,916 | 15,975 | 15,779 | 15,751 | 17,144 | 18,878 |
| Disabled | 6,467 | 12,300 | 14,755 | 14,850 | 14,745 | 14,719 | 16,010 | 17,613 |
| ESRD | 751 | 988 | 1,161 | 1,125 | 1,034 | 1,032 | 1,135 | 1,265 |
| Home health transfer ² | | | | 978 | 179 | 1,706 | 3,103 | 1,168 |
| Peer review activity | 191 | 189 | 168 | 188 | 177 | 236 | 274 | 259 |
| Administrative expenses³ | 774 | 1,300 | 1,661 | 1,653 | 1,978 | 2,350 | 2,368 | 2,464 |
| Supplementary medical insurance disbursements ¹ | 43,022 | 65,213 | 72,523 | 76,271 | 80,518 | 88,992 | 99,452 | 108,825 |
| Benefits. | 41,498 | 63,491 | 71,102 | 75,815 | 79,187 | 88,918 | 100,569 | 108,163 |
| Aged. | 36,837 | 54,830 | 60,957 | 65,115 | 67,963 | 76,334 | 86,093 | 91,660 |
| Disabled. | 4,661 | 8,660 | 10,129 | 10,666 | 11,187 | 12,542 | 14,420 | 16,407 |
| Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . | | | | | 9,850 | 11,063 | 12,753 | 14,510 |
| | | | | | 1,337 | 1,479 | 1,667 | 1,898 |
| | | | | | -179 | -1,706 | -3,103 | -1,168 |
| | | | | | 36 | 43 | 55 | 95 |
| | | | | | 1,510 | 1,780 | 1,986 | 1,830 |
|
./datasets/realWorld_datasets/tables/images/census_2_3680.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--2--3680--M0
|
What are the lowest two non-negative values for Year 2001
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": "2"}
|
{55} || {274}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Type of beneficiary</td><td>1990</td><td>1995</td><td>1997</td><td>1998</td><td>1999</td><td>2000</td><td>2001</td><td>2002</td></tr>\n<tr><td>Total disbursements . . . . . . . . . .</td><td>109,709</td><td>180,096</td><td>210,359</td><td>213,411</td><td>211,959</td><td>219,276</td><td>241,175</td><td>256,856</td></tr>\n<tr><td>Hospital insurance disbursements . .</td><td>66,687</td><td>114,883</td><td>137,836</td><td>137,140</td><td>131,441</td><td>130,284</td><td>141,723</td><td>148,031</td></tr>\n<tr><td>Benefits. . . . . . . . . . .</td><td>65,721</td><td>113,395</td><td>136,007</td><td>134,321</td><td>129,107</td><td>125,992</td><td>135,979</td><td>144,140</td></tr>\n<tr><td>Aged . . . . . . . . . .</td><td>58,503</td><td>100,107</td><td>120,091</td><td>118,346</td><td>113,328</td><td>110,241</td><td>118,835</td><td>125,262</td></tr>\n<tr><td>Disabled.</td><td>7,218</td><td>13,288</td><td>15,916</td><td>15,975</td><td>15,779</td><td>15,751</td><td>17,144</td><td>18,878</td></tr>\n<tr><td>Disabled</td><td>6,467</td><td>12,300</td><td>14,755</td><td>14,850</td><td>14,745</td><td>14,719</td><td>16,010</td><td>17,613</td></tr>\n<tr><td>ESRD</td><td>751</td><td>988</td><td>1,161</td><td>1,125</td><td>1,034</td><td>1,032</td><td>1,135</td><td>1,265</td></tr>\n<tr><td>Home health transfer \u00b2</td><td></td><td></td><td></td><td>978</td><td>179</td><td>1,706</td><td>3,103</td><td>1,168</td></tr>\n<tr><td>Peer review activity</td><td>191</td><td>189</td><td>168</td><td>188</td><td>177</td><td>236</td><td>274</td><td>259</td></tr>\n<tr><td>Administrative expenses\u00b3</td><td>774</td><td>1,300</td><td>1,661</td><td>1,653</td><td>1,978</td><td>2,350</td><td>2,368</td><td>2,464</td></tr>\n<tr><td>Supplementary medical insurance disbursements \u00b9</td><td>43,022</td><td>65,213</td><td>72,523</td><td>76,271</td><td>80,518</td><td>88,992</td><td>99,452</td><td>108,825</td></tr>\n<tr><td>Benefits.</td><td>41,498</td><td>63,491</td><td>71,102</td><td>75,815</td><td>79,187</td><td>88,918</td><td>100,569</td><td>108,163</td></tr>\n<tr><td>Aged.</td><td>36,837</td><td>54,830</td><td>60,957</td><td>65,115</td><td>67,963</td><td>76,334</td><td>86,093</td><td>91,660</td></tr>\n<tr><td>Disabled.</td><td>4,661</td><td>8,660</td><td>10,129</td><td>10,666</td><td>11,187</td><td>12,542</td><td>14,420</td><td>16,407</td></tr>\n<tr><td>Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td><td></td><td></td><td></td><td></td><td>9,850</td><td>11,063</td><td>12,753</td><td>14,510</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,337</td><td>1,479</td><td>1,667</td><td>1,898</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>-179</td><td>-1,706</td><td>-3,103</td><td>-1,168</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>36</td><td>43</td><td>55</td><td>95</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,510</td><td>1,780</td><td>1,986</td><td>1,830</td></tr>\n</table>` \n\nQuestion: `What are the lowest two non-negative values for Year 2001` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Type of beneficiary</td><td>1990</td><td>1995</td><td>1997</td><td>1998</td><td>1999</td><td>2000</td><td>2001</td><td>2002</td></tr>\n<tr><td>Total disbursements . . . . . . . . . .</td><td>109,709</td><td>180,096</td><td>210,359</td><td>213,411</td><td>211,959</td><td>219,276</td><td>241,175</td><td>256,856</td></tr>\n<tr><td>Hospital insurance disbursements . .</td><td>66,687</td><td>114,883</td><td>137,836</td><td>137,140</td><td>131,441</td><td>130,284</td><td>141,723</td><td>148,031</td></tr>\n<tr><td>Benefits. . . . . . . . . . .</td><td>65,721</td><td>113,395</td><td>136,007</td><td>134,321</td><td>129,107</td><td>125,992</td><td>135,979</td><td>144,140</td></tr>\n<tr><td>Aged . . . . . . . . . .</td><td>58,503</td><td>100,107</td><td>120,091</td><td>118,346</td><td>113,328</td><td>110,241</td><td>118,835</td><td>125,262</td></tr>\n<tr><td>Disabled.</td><td>7,218</td><td>13,288</td><td>15,916</td><td>15,975</td><td>15,779</td><td>15,751</td><td>17,144</td><td>18,878</td></tr>\n<tr><td>Disabled</td><td>6,467</td><td>12,300</td><td>14,755</td><td>14,850</td><td>14,745</td><td>14,719</td><td>16,010</td><td>17,613</td></tr>\n<tr><td>ESRD</td><td>751</td><td>988</td><td>1,161</td><td>1,125</td><td>1,034</td><td>1,032</td><td>1,135</td><td>1,265</td></tr>\n<tr><td>Home health transfer \u00b2</td><td></td><td></td><td></td><td>978</td><td>179</td><td>1,706</td><td>3,103</td><td>1,168</td></tr>\n<tr><td>Peer review activity</td><td>191</td><td>189</td><td>168</td><td>188</td><td>177</td><td>236</td><td>274</td><td>259</td></tr>\n<tr><td>Administrative expenses\u00b3</td><td>774</td><td>1,300</td><td>1,661</td><td>1,653</td><td>1,978</td><td>2,350</td><td>2,368</td><td>2,464</td></tr>\n<tr><td>Supplementary medical insurance disbursements \u00b9</td><td>43,022</td><td>65,213</td><td>72,523</td><td>76,271</td><td>80,518</td><td>88,992</td><td>99,452</td><td>108,825</td></tr>\n<tr><td>Benefits.</td><td>41,498</td><td>63,491</td><td>71,102</td><td>75,815</td><td>79,187</td><td>88,918</td><td>100,569</td><td>108,163</td></tr>\n<tr><td>Aged.</td><td>36,837</td><td>54,830</td><td>60,957</td><td>65,115</td><td>67,963</td><td>76,334</td><td>86,093</td><td>91,660</td></tr>\n<tr><td>Disabled.</td><td>4,661</td><td>8,660</td><td>10,129</td><td>10,666</td><td>11,187</td><td>12,542</td><td>14,420</td><td>16,407</td></tr>\n<tr><td>Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td><td></td><td></td><td></td><td></td><td>9,850</td><td>11,063</td><td>12,753</td><td>14,510</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,337</td><td>1,479</td><td>1,667</td><td>1,898</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>-179</td><td>-1,706</td><td>-3,103</td><td>-1,168</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>36</td><td>43</td><td>55</td><td>95</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,510</td><td>1,780</td><td>1,986</td><td>1,830</td></tr>\n</table>` \n\nQuestion: `What are the lowest two non-negative values for Year 2001` \n\n # OUTPUT: \nAnswer:"}]
|
|
census--2--3680
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7,8
0,Type of beneficiary,1990,1995,1997,1998,1999,2000,2001,2002
1,Total disbursements,"109,709","180,096","210,359","213,411","211,959","219,276","241,175","256,856"
2,Hospital insurance disbursements .,"66,687","114,883","137,836","137,140","131,441","130,284","141,723","148,031"
3,Benefits.,"65,721","113,395","136,007","134,321","129,107","125,992","135,979","144,140"
4,Aged,"58,503","100,107","120,091","118,346","113,328","110,241","118,835","125,262"
5,Disabled.,"7,218","13,288","15,916","15,975","15,779","15,751","17,144","18,878"
6,Disabled,"6,467","12,300","14,755","14,850","14,745","14,719","16,010","17,613"
7,ESRD 1,751,988,"1,161","1,125","1,034","1,032","1,135","1,265"
8,Home health transfer 2,,,,978,179,"1,706","3,103","1,168"
9,Peer review activity .,191,189,168,188,177,236,274,259
10,Administrative expenses,774,"1,300","1,661","1,653","1,978","2,350","2,368","2,464"
11,Supplementary medical insurance disbursements,"43,022","65,213","72,523","76,271","80,518","88,992","99,452","108,825"
12,Benefits.,"41,498","63,491","71,102","75,815","79,187","88,918","100,569","108,163"
13,Aged .,"36,837","54,830","60,957","65,115","67,963","76,334","86,093","91,660"
14,Disabled.,"4,661","8,660","10,129","10,666","11,187","12,542","14,420","16,407"
15,Disabled,"3,758","7,363","8,683","9,279","9,850","11,063","12,753","14,510"
16,ESRD 1,903,"1,297","1,446","1,387","1,337","1,479","1,667","1,898"
17,Home health transfer 2,,,,-978,-179,"-1,706","-3,103","-1,168"
18,Peer review activity,,2,16,33,36,43,55,95
19,Administrative expenses .,"1,524","1,722","1,420","1,435","1,510","1,780","1,986","1,830"
|
<table id="0-1">
<tr><td>Type of beneficiary</td><td>1990</td><td>1995</td><td>1997</td><td>1998</td><td>1999</td><td>2000</td><td>2001</td><td>2002</td></tr>
<tr><td>Total disbursements . . . . . . . . . .</td><td>109,709</td><td>180,096</td><td>210,359</td><td>213,411</td><td>211,959</td><td>219,276</td><td>241,175</td><td>256,856</td></tr>
<tr><td>Hospital insurance disbursements . .</td><td>66,687</td><td>114,883</td><td>137,836</td><td>137,140</td><td>131,441</td><td>130,284</td><td>141,723</td><td>148,031</td></tr>
<tr><td>Benefits. . . . . . . . . . .</td><td>65,721</td><td>113,395</td><td>136,007</td><td>134,321</td><td>129,107</td><td>125,992</td><td>135,979</td><td>144,140</td></tr>
<tr><td>Aged . . . . . . . . . .</td><td>58,503</td><td>100,107</td><td>120,091</td><td>118,346</td><td>113,328</td><td>110,241</td><td>118,835</td><td>125,262</td></tr>
<tr><td>Disabled.</td><td>7,218</td><td>13,288</td><td>15,916</td><td>15,975</td><td>15,779</td><td>15,751</td><td>17,144</td><td>18,878</td></tr>
<tr><td>Disabled</td><td>6,467</td><td>12,300</td><td>14,755</td><td>14,850</td><td>14,745</td><td>14,719</td><td>16,010</td><td>17,613</td></tr>
<tr><td>ESRD</td><td>751</td><td>988</td><td>1,161</td><td>1,125</td><td>1,034</td><td>1,032</td><td>1,135</td><td>1,265</td></tr>
<tr><td>Home health transfer ²</td><td></td><td></td><td></td><td>978</td><td>179</td><td>1,706</td><td>3,103</td><td>1,168</td></tr>
<tr><td>Peer review activity</td><td>191</td><td>189</td><td>168</td><td>188</td><td>177</td><td>236</td><td>274</td><td>259</td></tr>
<tr><td>Administrative expenses³</td><td>774</td><td>1,300</td><td>1,661</td><td>1,653</td><td>1,978</td><td>2,350</td><td>2,368</td><td>2,464</td></tr>
<tr><td>Supplementary medical insurance disbursements ¹</td><td>43,022</td><td>65,213</td><td>72,523</td><td>76,271</td><td>80,518</td><td>88,992</td><td>99,452</td><td>108,825</td></tr>
<tr><td>Benefits.</td><td>41,498</td><td>63,491</td><td>71,102</td><td>75,815</td><td>79,187</td><td>88,918</td><td>100,569</td><td>108,163</td></tr>
<tr><td>Aged.</td><td>36,837</td><td>54,830</td><td>60,957</td><td>65,115</td><td>67,963</td><td>76,334</td><td>86,093</td><td>91,660</td></tr>
<tr><td>Disabled.</td><td>4,661</td><td>8,660</td><td>10,129</td><td>10,666</td><td>11,187</td><td>12,542</td><td>14,420</td><td>16,407</td></tr>
<tr><td>Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td><td></td><td></td><td></td><td></td><td>9,850</td><td>11,063</td><td>12,753</td><td>14,510</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>1,337</td><td>1,479</td><td>1,667</td><td>1,898</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>-179</td><td>-1,706</td><td>-3,103</td><td>-1,168</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>36</td><td>43</td><td>55</td><td>95</td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td>1,510</td><td>1,780</td><td>1,986</td><td>1,830</td></tr>
</table>
|
| Type of beneficiary | 1990 | 1995 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 |
|---|---|---|---|---|---|---|---|---|
| Total disbursements . . . . . . . . . . | 109,709 | 180,096 | 210,359 | 213,411 | 211,959 | 219,276 | 241,175 | 256,856 |
| Hospital insurance disbursements . . | 66,687 | 114,883 | 137,836 | 137,140 | 131,441 | 130,284 | 141,723 | 148,031 |
| Benefits. . . . . . . . . . . | 65,721 | 113,395 | 136,007 | 134,321 | 129,107 | 125,992 | 135,979 | 144,140 |
| Aged . . . . . . . . . . | 58,503 | 100,107 | 120,091 | 118,346 | 113,328 | 110,241 | 118,835 | 125,262 |
| Disabled. | 7,218 | 13,288 | 15,916 | 15,975 | 15,779 | 15,751 | 17,144 | 18,878 |
| Disabled | 6,467 | 12,300 | 14,755 | 14,850 | 14,745 | 14,719 | 16,010 | 17,613 |
| ESRD | 751 | 988 | 1,161 | 1,125 | 1,034 | 1,032 | 1,135 | 1,265 |
| Home health transfer ² | | | | 978 | 179 | 1,706 | 3,103 | 1,168 |
| Peer review activity | 191 | 189 | 168 | 188 | 177 | 236 | 274 | 259 |
| Administrative expenses³ | 774 | 1,300 | 1,661 | 1,653 | 1,978 | 2,350 | 2,368 | 2,464 |
| Supplementary medical insurance disbursements ¹ | 43,022 | 65,213 | 72,523 | 76,271 | 80,518 | 88,992 | 99,452 | 108,825 |
| Benefits. | 41,498 | 63,491 | 71,102 | 75,815 | 79,187 | 88,918 | 100,569 | 108,163 |
| Aged. | 36,837 | 54,830 | 60,957 | 65,115 | 67,963 | 76,334 | 86,093 | 91,660 |
| Disabled. | 4,661 | 8,660 | 10,129 | 10,666 | 11,187 | 12,542 | 14,420 | 16,407 |
| Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . | | | | | 9,850 | 11,063 | 12,753 | 14,510 |
| | | | | | 1,337 | 1,479 | 1,667 | 1,898 |
| | | | | | -179 | -1,706 | -3,103 | -1,168 |
| | | | | | 36 | 43 | 55 | 95 |
| | | | | | 1,510 | 1,780 | 1,986 | 1,830 |
|
./datasets/realWorld_datasets/tables/images/census_2_3680.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
census--2--3680--M1
|
For the Type of beneficiary equals "Administrative expenses", what is the sum of values for year 1995
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": true, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{3022}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Type of beneficiary</td><td>1990</td><td>1995</td><td>1997</td><td>1998</td><td>1999</td><td>2000</td><td>2001</td><td>2002</td></tr>\n<tr><td>Total disbursements . . . . . . . . . .</td><td>109,709</td><td>180,096</td><td>210,359</td><td>213,411</td><td>211,959</td><td>219,276</td><td>241,175</td><td>256,856</td></tr>\n<tr><td>Hospital insurance disbursements . .</td><td>66,687</td><td>114,883</td><td>137,836</td><td>137,140</td><td>131,441</td><td>130,284</td><td>141,723</td><td>148,031</td></tr>\n<tr><td>Benefits. . . . . . . . . . .</td><td>65,721</td><td>113,395</td><td>136,007</td><td>134,321</td><td>129,107</td><td>125,992</td><td>135,979</td><td>144,140</td></tr>\n<tr><td>Aged . . . . . . . . . .</td><td>58,503</td><td>100,107</td><td>120,091</td><td>118,346</td><td>113,328</td><td>110,241</td><td>118,835</td><td>125,262</td></tr>\n<tr><td>Disabled.</td><td>7,218</td><td>13,288</td><td>15,916</td><td>15,975</td><td>15,779</td><td>15,751</td><td>17,144</td><td>18,878</td></tr>\n<tr><td>Disabled</td><td>6,467</td><td>12,300</td><td>14,755</td><td>14,850</td><td>14,745</td><td>14,719</td><td>16,010</td><td>17,613</td></tr>\n<tr><td>ESRD</td><td>751</td><td>988</td><td>1,161</td><td>1,125</td><td>1,034</td><td>1,032</td><td>1,135</td><td>1,265</td></tr>\n<tr><td>Home health transfer \u00b2</td><td></td><td></td><td></td><td>978</td><td>179</td><td>1,706</td><td>3,103</td><td>1,168</td></tr>\n<tr><td>Peer review activity</td><td>191</td><td>189</td><td>168</td><td>188</td><td>177</td><td>236</td><td>274</td><td>259</td></tr>\n<tr><td>Administrative expenses\u00b3</td><td>774</td><td>1,300</td><td>1,661</td><td>1,653</td><td>1,978</td><td>2,350</td><td>2,368</td><td>2,464</td></tr>\n<tr><td>Supplementary medical insurance disbursements \u00b9</td><td>43,022</td><td>65,213</td><td>72,523</td><td>76,271</td><td>80,518</td><td>88,992</td><td>99,452</td><td>108,825</td></tr>\n<tr><td>Benefits.</td><td>41,498</td><td>63,491</td><td>71,102</td><td>75,815</td><td>79,187</td><td>88,918</td><td>100,569</td><td>108,163</td></tr>\n<tr><td>Aged.</td><td>36,837</td><td>54,830</td><td>60,957</td><td>65,115</td><td>67,963</td><td>76,334</td><td>86,093</td><td>91,660</td></tr>\n<tr><td>Disabled.</td><td>4,661</td><td>8,660</td><td>10,129</td><td>10,666</td><td>11,187</td><td>12,542</td><td>14,420</td><td>16,407</td></tr>\n<tr><td>Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td><td></td><td></td><td></td><td></td><td>9,850</td><td>11,063</td><td>12,753</td><td>14,510</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,337</td><td>1,479</td><td>1,667</td><td>1,898</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>-179</td><td>-1,706</td><td>-3,103</td><td>-1,168</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>36</td><td>43</td><td>55</td><td>95</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,510</td><td>1,780</td><td>1,986</td><td>1,830</td></tr>\n</table>` \n\nQuestion: `For the Type of beneficiary equals \"Administrative expenses\", what is the sum of values for year 1995` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Type of beneficiary</td><td>1990</td><td>1995</td><td>1997</td><td>1998</td><td>1999</td><td>2000</td><td>2001</td><td>2002</td></tr>\n<tr><td>Total disbursements . . . . . . . . . .</td><td>109,709</td><td>180,096</td><td>210,359</td><td>213,411</td><td>211,959</td><td>219,276</td><td>241,175</td><td>256,856</td></tr>\n<tr><td>Hospital insurance disbursements . .</td><td>66,687</td><td>114,883</td><td>137,836</td><td>137,140</td><td>131,441</td><td>130,284</td><td>141,723</td><td>148,031</td></tr>\n<tr><td>Benefits. . . . . . . . . . .</td><td>65,721</td><td>113,395</td><td>136,007</td><td>134,321</td><td>129,107</td><td>125,992</td><td>135,979</td><td>144,140</td></tr>\n<tr><td>Aged . . . . . . . . . .</td><td>58,503</td><td>100,107</td><td>120,091</td><td>118,346</td><td>113,328</td><td>110,241</td><td>118,835</td><td>125,262</td></tr>\n<tr><td>Disabled.</td><td>7,218</td><td>13,288</td><td>15,916</td><td>15,975</td><td>15,779</td><td>15,751</td><td>17,144</td><td>18,878</td></tr>\n<tr><td>Disabled</td><td>6,467</td><td>12,300</td><td>14,755</td><td>14,850</td><td>14,745</td><td>14,719</td><td>16,010</td><td>17,613</td></tr>\n<tr><td>ESRD</td><td>751</td><td>988</td><td>1,161</td><td>1,125</td><td>1,034</td><td>1,032</td><td>1,135</td><td>1,265</td></tr>\n<tr><td>Home health transfer \u00b2</td><td></td><td></td><td></td><td>978</td><td>179</td><td>1,706</td><td>3,103</td><td>1,168</td></tr>\n<tr><td>Peer review activity</td><td>191</td><td>189</td><td>168</td><td>188</td><td>177</td><td>236</td><td>274</td><td>259</td></tr>\n<tr><td>Administrative expenses\u00b3</td><td>774</td><td>1,300</td><td>1,661</td><td>1,653</td><td>1,978</td><td>2,350</td><td>2,368</td><td>2,464</td></tr>\n<tr><td>Supplementary medical insurance disbursements \u00b9</td><td>43,022</td><td>65,213</td><td>72,523</td><td>76,271</td><td>80,518</td><td>88,992</td><td>99,452</td><td>108,825</td></tr>\n<tr><td>Benefits.</td><td>41,498</td><td>63,491</td><td>71,102</td><td>75,815</td><td>79,187</td><td>88,918</td><td>100,569</td><td>108,163</td></tr>\n<tr><td>Aged.</td><td>36,837</td><td>54,830</td><td>60,957</td><td>65,115</td><td>67,963</td><td>76,334</td><td>86,093</td><td>91,660</td></tr>\n<tr><td>Disabled.</td><td>4,661</td><td>8,660</td><td>10,129</td><td>10,666</td><td>11,187</td><td>12,542</td><td>14,420</td><td>16,407</td></tr>\n<tr><td>Disabled . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td><td></td><td></td><td></td><td></td><td>9,850</td><td>11,063</td><td>12,753</td><td>14,510</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,337</td><td>1,479</td><td>1,667</td><td>1,898</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>-179</td><td>-1,706</td><td>-3,103</td><td>-1,168</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>36</td><td>43</td><td>55</td><td>95</td></tr>\n<tr><td></td><td></td><td></td><td></td><td></td><td>1,510</td><td>1,780</td><td>1,986</td><td>1,830</td></tr>\n</table>` \n\nQuestion: `For the Type of beneficiary equals \"Administrative expenses\", what is the sum of values for year 1995` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--526
|
realWorldHCTs
|
,0,1,2,3
0,gender Offer To Work In Private Sector,Total,Females,Males
1,Offered,298,179,119
2,Not Offered,"2,288","1,660",628
3,Total,"2,586","1,839",747
|
<table id="0-1">
<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>
<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>
<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>
</table>
|
| Offer To Work In Private Sector | Total | Females | Males |
|---|---|---|---|
| Offered | 298 | 179 | 119 |
| Not Offered | 2,288 | 1,660 | 628 |
| Total | 2,586 | 1,839 | 747 |
|
./datasets/realWorld_datasets/tables/images/psa_8_526.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--526--A4
|
What is the maximum number of unemployed Qataris not offered work in the private sector and the minimum number of unemployed Qataris offered work in the private sector across all genders?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 2, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{1660} || {119}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the maximum number of unemployed Qataris not offered work in the private sector and the minimum number of unemployed Qataris offered work in the private sector across all genders?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the maximum number of unemployed Qataris not offered work in the private sector and the minimum number of unemployed Qataris offered work in the private sector across all genders?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--526
|
realWorldHCTs
|
,0,1,2,3
0,gender Offer To Work In Private Sector,Total,Females,Males
1,Offered,298,179,119
2,Not Offered,"2,288","1,660",628
3,Total,"2,586","1,839",747
|
<table id="0-1">
<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>
<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>
<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>
</table>
|
| Offer To Work In Private Sector | Total | Females | Males |
|---|---|---|---|
| Offered | 298 | 179 | 119 |
| Not Offered | 2,288 | 1,660 | 628 |
| Total | 2,586 | 1,839 | 747 |
|
./datasets/realWorld_datasets/tables/images/psa_8_526.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--526--A0
|
What is the difference in the number of unemployed Qataris offered work in the private sector between males and females?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{-60}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of unemployed Qataris offered work in the private sector between males and females?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of unemployed Qataris offered work in the private sector between males and females?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--526
|
realWorldHCTs
|
,0,1,2,3
0,gender Offer To Work In Private Sector,Total,Females,Males
1,Offered,298,179,119
2,Not Offered,"2,288","1,660",628
3,Total,"2,586","1,839",747
|
<table id="0-1">
<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>
<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>
<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>
</table>
|
| Offer To Work In Private Sector | Total | Females | Males |
|---|---|---|---|
| Offered | 298 | 179 | 119 |
| Not Offered | 2,288 | 1,660 | 628 |
| Total | 2,586 | 1,839 | 747 |
|
./datasets/realWorld_datasets/tables/images/psa_8_526.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--526--A3
|
What is the difference in the number of unemployed Qataris who were offered work in the private sector versus those who were not offered, considering both males and females?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{-1990}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of unemployed Qataris who were offered work in the private sector versus those who were not offered, considering both males and females?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of unemployed Qataris who were offered work in the private sector versus those who were not offered, considering both males and females?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--526
|
realWorldHCTs
|
,0,1,2,3
0,gender Offer To Work In Private Sector,Total,Females,Males
1,Offered,298,179,119
2,Not Offered,"2,288","1,660",628
3,Total,"2,586","1,839",747
|
<table id="0-1">
<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>
<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>
<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>
</table>
|
| Offer To Work In Private Sector | Total | Females | Males |
|---|---|---|---|
| Offered | 298 | 179 | 119 |
| Not Offered | 2,288 | 1,660 | 628 |
| Total | 2,586 | 1,839 | 747 |
|
./datasets/realWorld_datasets/tables/images/psa_8_526.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--526--A5
|
What is the difference in the number of unemployed Qataris offered and not offered work in the private sector?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": true, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{-1990}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of unemployed Qataris offered and not offered work in the private sector?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What is the difference in the number of unemployed Qataris offered and not offered work in the private sector?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--526
|
realWorldHCTs
|
,0,1,2,3
0,gender Offer To Work In Private Sector,Total,Females,Males
1,Offered,298,179,119
2,Not Offered,"2,288","1,660",628
3,Total,"2,586","1,839",747
|
<table id="0-1">
<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>
<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>
<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>
</table>
|
| Offer To Work In Private Sector | Total | Females | Males |
|---|---|---|---|
| Offered | 298 | 179 | 119 |
| Not Offered | 2,288 | 1,660 | 628 |
| Total | 2,586 | 1,839 | 747 |
|
./datasets/realWorld_datasets/tables/images/psa_8_526.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--526--A1
|
What are the total number of unemployed Qataris and the number of females among them who were offered and not offered work in the private sector in 2012?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{298 | 179} || {2,288 | 1,660}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What are the total number of unemployed Qataris and the number of females among them who were offered and not offered work in the private sector in 2012?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `What are the total number of unemployed Qataris and the number of females among them who were offered and not offered work in the private sector in 2012?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--8--526
|
realWorldHCTs
|
,0,1,2,3
0,gender Offer To Work In Private Sector,Total,Females,Males
1,Offered,298,179,119
2,Not Offered,"2,288","1,660",628
3,Total,"2,586","1,839",747
|
<table id="0-1">
<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>
<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>
<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>
<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>
</table>
|
| Offer To Work In Private Sector | Total | Females | Males |
|---|---|---|---|
| Offered | 298 | 179 | 119 |
| Not Offered | 2,288 | 1,660 | 628 |
| Total | 2,586 | 1,839 | 747 |
|
./datasets/realWorld_datasets/tables/images/psa_8_526.jpg
|
{"Standard Relational Table": false, "Multi Level Column": false, "Balanced Multi Level Column": false, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": true, "Row Group Label": false}
|
psa--8--526--A2
|
Is the number of females not offered work in the private sector greater than the number of males offered work in the private sector?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": false, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": false, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": false, "Yes/No": true, "Yes/No Scope Single": false, "Yes/No Scope Multiple": true, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
Yes
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `Is the number of females not offered work in the private sector greater than the number of males offered work in the private sector?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td>Offer To Work In Private Sector</td><td>Total</td><td>Females</td><td>Males</td></tr>\n<tr><td>Offered</td><td>298</td><td>179</td><td>119</td></tr>\n<tr><td>Not Offered</td><td>2,288</td><td>1,660</td><td>628</td></tr>\n<tr><td>Total</td><td>2,586</td><td>1,839</td><td>747</td></tr>\n</table>` \n\nQuestion: `Is the number of females not offered work in the private sector greater than the number of males offered work in the private sector?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--A4
|
What are the Economic Activities that had a percentage greater than 1.0 in the 1st quarter of 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Mining and quarrying} || {Manufacturing} || {Construction} || {Wholesale and retail trade; repair of motor vehicles and motorcycles} || {Transportation and storage} || {Information and communication} || {Financial and insurance activities} || {Real estate activities} || {Professional, scientific and technical activities and Administrative and support service activities} || {Public administration and defence; compulsory social security} || {Education} || {Human health and social work activities} || {Arts, entertainment and recreation; Other service activities}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What are the Economic Activities that had a percentage greater than 1.0 in the 1st quarter of 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What are the Economic Activities that had a percentage greater than 1.0 in the 1st quarter of 2019?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--A1
|
What were the percentages of GDP for 'Mining and quarrying', 'Manufacturing', and 'Construction' activities in the first and second quarters of 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{37.7 | 36.0} || {7.4 | 7.9} || {12.6 | 12.3}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What were the percentages of GDP for 'Mining and quarrying', 'Manufacturing', and 'Construction' activities in the first and second quarters of 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What were the percentages of GDP for 'Mining and quarrying', 'Manufacturing', and 'Construction' activities in the first and second quarters of 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--M0
|
What is the gross domestic product value of year 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{100}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the gross domestic product value of year 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the gross domestic product value of year 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--A5
|
What is the computed average percentage for 'Mining and quarrying' for the first two quarters of 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{36.85}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the computed average percentage for 'Mining and quarrying' for the first two quarters of 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the computed average percentage for 'Mining and quarrying' for the first two quarters of 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--M1
|
What is the number of year 2019 where the code is L?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "1", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{6.5}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the number of year 2019 where the code is L?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the number of year 2019 where the code is L?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--A0
|
What is the minimum percentage contribution of 'Mining and quarrying' to the Total GDP across the 2019 quarters?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": false, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{34.3}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the minimum percentage contribution of 'Mining and quarrying' to the Total GDP across the 2019 quarters?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What is the minimum percentage contribution of 'Mining and quarrying' to the Total GDP across the 2019 quarters?` \n\n # OUTPUT: \nAnswer:"}]
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psa--5--753
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realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
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psa--5--753--A2
|
What are the Economic Activities that had a percentage of less than 5% in Quarter 2 of the year 2019?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{Agriculture, forestry and fishing} || {Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities} || {Transportation and storage} || {Accommodation and food service activities} || {Information and communication} || {Professional, scientific and technical activities and Administrative and support service activities} || {Education} || {Human health and social work activities} || {Arts, entertainment and recreation; Other service activities} || {Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use} || {Financial Services Indirectly Measured (FISIM)} || {Import duties}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What are the Economic Activities that had a percentage of less than 5% in Quarter 2 of the year 2019?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What are the Economic Activities that had a percentage of less than 5% in Quarter 2 of the year 2019?` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--5--753
|
realWorldHCTs
|
,0,1,2,3,4,5,6,7
0,,Code,Economic Activity,2019 Quarters*,__,__,__,Year*
1,__,__,__,1,2,3,4,2019
2,,A,"Agriculture, forestry and fishing",0.2,0.2,0.2,0.2,0.2
3,,B,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
4,,C,Manufacturing,7.4,7.9,8.1,7.8,7.8
5,",",D + E,"Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities",0.7,1.1,1.2,1.0,1.0
6,,F,Construction,12.6,12.3,11.8,12.2,12.2
7,,G,Wholesale and retail trade; repair of motor vehicles and motorcycles,7.1,7.2,8.3,8.7,7.8
8,,H,Transportation and storage,4.3,4.4,4.5,4.4,4.4
9,,I,Accommodation and food service activities,0.8,0.9,0.9,1.0,0.9
10,,J,Information and communication,1.4,1.4,1.5,1.3,1.4
11,,K,Financial and insurance activities,8.1,8.0,7.8,8.7,8.2
12,,L,Real estate activities,6.3,6.4,6.7,6.7,6.5
13,,M+N,"Professional, scientific and technical activities and Administrative and support service activities",3.4,3.3,3.0,3.2,3.2
14,,0,Public administration and defence; compulsory social security,7.8,8.4,8.3,8.2,8.2
15,(1),P,Education(1),1.8,1.9,1.8,1.8,1.8
16,(1),Q,Human health and social work activities(1),2.1,"2.3
:selected:",2.3,2.2,2.2
17,", (1)",R+S,"Arts, entertainment and recreation; Other service activities(1)",1.3,1.4,1.4,1.4,1.4
18,,T,Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use,0.7,0.7,0.7,0.7,0.7
19,,,Financial Services Indirectly Measured (FISIM),(4.2),(4.5),(4.5),(4.4),(4.4)
20,,,Import duties,0.6,0.6,0.5,0.5,0.6
21,,,Gross Domestic Product,100.0,100.0,100.0,100.0,100.0
22,,,Mining and quarrying,37.7,36.0,35.5,34.3,35.9
23,,,Non Mining and quarrying,62.3,64.0,64.5,65.7,64.1
24,,,Memorandum item,,,,,
25,(2),,General Government activities(2),11.7,12.6,12.4,12.2,12.2
|
<table id="0-1">
<tr><td rowspan="2">Code</td><td rowspan="2">Economic Activity</td><td colspan="4">2019 Quarters*</td><td rowspan="2">Year*
2019</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>
<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>
<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>
<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>
<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>
<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>
<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>
<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>
<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>
<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>
<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>
<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>
<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>
<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>
<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>
<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>
<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>
<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>
<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>
<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>
<tr><td colspan="8"></td></tr>
<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>
<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>
<tr><td></td><td colspan="6">Memorandum item</td></tr>
<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>
</table>
|
| Code | Economic Activity | 2019 Quarters* | | | | Year*
2019 | |
|---|---|---|---|---|---|---|---|
| | | 1 | 2 | 3 | 4 | | |
| A | Agriculture, forestry and fishing | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
| B | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| C | Manufacturing | 7.4 | 7.9 | 8.1 | 7.8 | 7.8 | |
| , | D+E | Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities | 0.7 | 1.1 | 1.2 | 1.0 | 1.0 |
| F | Construction | 12.6 | 12.3 | 11.8 | 12.2 | 12.2 | |
| G | Wholesale and retail trade; repair of motor vehicles and motorcycles | 7.1 | 7.2 | 8.3 | 8.7 | 7.8 | |
| H | Transportation and storage | 4.3 | 4.4 | 4.5 | 4.4 | 4.4 | |
| I | Accommodation and food service activities | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | |
| J | Information and communication | 1.4 | 1.4 | 1.5 | 1.3 | 1.4 | |
| K | Financial and insurance activities | 8.1 | 8.0 | 7.8 | 8.7 | 8.2 | |
| L | Real estate activities | 6.3 | 6.4 | 6.7 | 6.7 | 6.5 | |
| M+N | Professional, scientific and technical activities and Administrative and support service activities | 3.4 | 3.3 | 3.0 | 3.2 | 3.2 | |
| O | Public administration and defence; compulsory social security | 7.8 | 8.4 | 8.3 | 8.2 | 8.2 | |
| (1) | P | Education (2) | 1.8 | 1.9 | 1.8 | 1.8 | 1.8 |
| (1) | Q | Human health and social work activities (2) | 2.1 | 2.3 | 2.3 | 2.2 | 2.2 |
| (1) | R+S | Arts, entertainment and recreation; Other service activities(1) | 1.3 | 1.4 | 1.4 | 1.4 | 1.4 |
| T | Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | |
| | Financial Services Indirectly Measured (FISIM) | (4.2) | (4.5) | (4.5) | (4.4) | (4.4) | |
| | Import duties | 0.6 | 0.6 | 0.5 | 0.5 | 0.6 | |
| | Gross Domestic Product | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| | | | | | | | |
| | Mining and quarrying | 37.7 | 36.0 | 35.5 | 34.3 | 35.9 | |
| | Non Mining and quarrying | 62.3 | 64.0 | 64.5 | 65.7 | 64.1 | |
| | Memorandum item | | | | | | |
| | General Government activities | 11.7 | 12.6 | 12.4 | 12.2 | 12.2 | |
|
./datasets/realWorld_datasets/tables/images/psa_5_753.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": false, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": true, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": false, "Implicit Column Aggregation Terms": true, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": false, "Implicit Row Aggregation Terms": true, "Split Header Cell": false, "Row Group Label": false}
|
psa--5--753--A3
|
What are the top 3 economic activities by their contribution to the GDP in the year 2019, and what are their respective percentages?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": 2, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": true, "Rank Rank On Plain": true, "Rank Rank On Expression": false, "Rank Report Top": 3}
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{Mining and quarrying | 35.9} || {Construction | 12.2} || {Financial andinsurance activities | 8.2} || {Public administration and defence; compulsory social security | 8.2}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What are the top 3 economic activities by their contribution to the GDP in the year 2019, and what are their respective percentages?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Code</td><td rowspan=\"2\">Economic Activity</td><td colspan=\"4\">2019 Quarters*</td><td rowspan=\"2\">Year*\n2019</td></tr>\n<tr><td>1</td><td>2</td><td>3</td><td>4</td></tr>\n<tr><td>A</td><td>Agriculture, forestry and fishing</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.2</td></tr>\n<tr><td>B</td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td>C</td><td>Manufacturing</td><td>7.4</td><td>7.9</td><td>8.1</td><td>7.8</td><td>7.8</td></tr>\n<tr><td>,</td><td>D+E</td><td>Electricity, gas, steam and air conditioning supply; Water supply, sewerage, waste management and remediation activities</td><td>0.7</td><td>1.1</td><td>1.2</td><td>1.0</td><td>1.0</td></tr>\n<tr><td>F</td><td>Construction</td><td>12.6</td><td>12.3</td><td>11.8</td><td>12.2</td><td>12.2</td></tr>\n<tr><td>G</td><td>Wholesale and retail trade; repair of motor vehicles and motorcycles</td><td>7.1</td><td>7.2</td><td>8.3</td><td>8.7</td><td>7.8</td></tr>\n<tr><td>H</td><td>Transportation and storage</td><td>4.3</td><td>4.4</td><td>4.5</td><td>4.4</td><td>4.4</td></tr>\n<tr><td>I</td><td>Accommodation and food service activities</td><td>0.8</td><td>0.9</td><td>0.9</td><td>1.0</td><td>0.9</td></tr>\n<tr><td>J</td><td>Information and communication</td><td>1.4</td><td>1.4</td><td>1.5</td><td>1.3</td><td>1.4</td></tr>\n<tr><td>K</td><td>Financial and insurance activities</td><td>8.1</td><td>8.0</td><td>7.8</td><td>8.7</td><td>8.2</td></tr>\n<tr><td>L</td><td>Real estate activities</td><td>6.3</td><td>6.4</td><td>6.7</td><td>6.7</td><td>6.5</td></tr>\n<tr><td>M+N</td><td>Professional, scientific and technical activities and Administrative and support service activities</td><td>3.4</td><td>3.3</td><td>3.0</td><td>3.2</td><td>3.2</td></tr>\n<tr><td>O</td><td>Public administration and defence; compulsory social security</td><td>7.8</td><td>8.4</td><td>8.3</td><td>8.2</td><td>8.2</td></tr>\n<tr><td>(1)</td><td>P</td><td>Education (2)</td><td>1.8</td><td>1.9</td><td>1.8</td><td>1.8</td><td>1.8</td></tr>\n<tr><td>(1)</td><td>Q</td><td>Human health and social work activities (2)</td><td>2.1</td><td>2.3</td><td>2.3</td><td>2.2</td><td>2.2</td></tr>\n<tr><td>(1)</td><td>R+S</td><td>Arts, entertainment and recreation; Other service activities(1)</td><td>1.3</td><td>1.4</td><td>1.4</td><td>1.4</td><td>1.4</td></tr>\n<tr><td>T</td><td>Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td><td>0.7</td></tr>\n<tr><td></td><td>Financial Services Indirectly Measured (FISIM)</td><td>(4.2)</td><td>(4.5)</td><td>(4.5)</td><td>(4.4)</td><td>(4.4)</td></tr>\n<tr><td></td><td>Import duties</td><td>0.6</td><td>0.6</td><td>0.5</td><td>0.5</td><td>0.6</td></tr>\n<tr><td></td><td>Gross Domestic Product</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td><td>100.0</td></tr>\n<tr><td colspan=\"8\"></td></tr>\n<tr><td></td><td>Mining and quarrying</td><td>37.7</td><td>36.0</td><td>35.5</td><td>34.3</td><td>35.9</td></tr>\n<tr><td></td><td>Non Mining and quarrying</td><td>62.3</td><td>64.0</td><td>64.5</td><td>65.7</td><td>64.1</td></tr>\n<tr><td></td><td colspan=\"6\">Memorandum item</td></tr>\n<tr><td></td><td>General Government activities</td><td>11.7</td><td>12.6</td><td>12.4</td><td>12.2</td><td>12.2</td></tr>\n</table>` \n\nQuestion: `What are the top 3 economic activities by their contribution to the GDP in the year 2019, and what are their respective percentages?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1342
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Occupation,Total,__,Females,__,Males,__
1,__,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers
2,"Legislators, Senior Officials And Managers","44,744","43,396","32,125","6,696","47,740","36,700"
3,Professionals,"28,373","187,511","24,470","57,737","30,795","129,774"
4,Technicians And Associate Professionals,"19,721","139,139","19,983","15,546","19,649","123,593"
5,Clerks,"16,991","110,454","15,151","33,927","18,211","76,527"
6,Service Workers And Shop And Market Sales Workers,"7,228","194,232","6,195","49,037","8,047","145,195"
7,Skilled Agricultural And Fishery Workers,"4,666","25,207",0,0,"4,666","25,207"
8,Craft And Related Trades Workers,"5,362","667,483","7,863",447,"5,361","667,036"
9,Plant And Machine Operators And Assemblers,"4,928","291,544","5,311",873,"4,927","290,671"
10,Elementary Occupations,"3,964","386,818","3,181","110,550","5,136","276,268"
11,Total,"11,099","2,045,784","9,960","274,813","11,560","1,770,971"
|
<table id="0-1">
<tr><td rowspan="2">Occupation</td><td colspan="2">Total</td><td colspan="2">Females</td><td colspan="2">Males</td></tr>
<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>
<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>
<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>
<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>
<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>
<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>
<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>
<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>
<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>
<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>
<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>
</table>
|
| Occupation | Total | | Females | | Males | |
|---|---|---|---|---|---|---|
| | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers |
| Legislators, Senior Officials And Managers | 44,744 | 43,396 | 32,125 | 6,696 | 47,740 | 36,700 |
| Professionals | 28,373 | 187,511 | 24,470 | 57,737 | 30,795 | 129,774 |
| Technicians And Associate Professionals | 19,721 | 139,139 | 19,983 | 15,546 | 19,649 | 123,593 |
| Clerks | 16,991 | 110,454 | 15,151 | 33,927 | 18,211 | 76,527 |
| Service Workers And Shop And Market Sales Workers | 7,228 | 194,232 | 6,195 | 49,037 | 8,047 | 145,195 |
| Skilled Agricultural And Fishery Workers | 4,666 | 25,207 | 0 | 0 | 4,666 | 25,207 |
| Craft And Related Trades Workers | 5,362 | 667,483 | 7,863 | 447 | 5,361 | 667,036 |
| Plant And Machine Operators And Assemblers | 4,928 | 291,544 | 5,311 | 873 | 4,927 | 290,671 |
| Elementary Occupations | 3,964 | 386,818 | 3,181 | 110,550 | 5,136 | 276,268 |
| Total | 11,099 | 2,045,784 | 9,960 | 274,813 | 11,560 | 1,770,971 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1342.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1342--M0
|
Report the female average wage of clerks
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": true, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "1", "Row Filter Retained Rows Single": true, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "1", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{15151}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `Report the female average wage of clerks` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `Report the female average wage of clerks` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1342
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Occupation,Total,__,Females,__,Males,__
1,__,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers
2,"Legislators, Senior Officials And Managers","44,744","43,396","32,125","6,696","47,740","36,700"
3,Professionals,"28,373","187,511","24,470","57,737","30,795","129,774"
4,Technicians And Associate Professionals,"19,721","139,139","19,983","15,546","19,649","123,593"
5,Clerks,"16,991","110,454","15,151","33,927","18,211","76,527"
6,Service Workers And Shop And Market Sales Workers,"7,228","194,232","6,195","49,037","8,047","145,195"
7,Skilled Agricultural And Fishery Workers,"4,666","25,207",0,0,"4,666","25,207"
8,Craft And Related Trades Workers,"5,362","667,483","7,863",447,"5,361","667,036"
9,Plant And Machine Operators And Assemblers,"4,928","291,544","5,311",873,"4,927","290,671"
10,Elementary Occupations,"3,964","386,818","3,181","110,550","5,136","276,268"
11,Total,"11,099","2,045,784","9,960","274,813","11,560","1,770,971"
|
<table id="0-1">
<tr><td rowspan="2">Occupation</td><td colspan="2">Total</td><td colspan="2">Females</td><td colspan="2">Males</td></tr>
<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>
<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>
<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>
<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>
<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>
<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>
<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>
<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>
<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>
<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>
<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>
</table>
|
| Occupation | Total | | Females | | Males | |
|---|---|---|---|---|---|---|
| | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers |
| Legislators, Senior Officials And Managers | 44,744 | 43,396 | 32,125 | 6,696 | 47,740 | 36,700 |
| Professionals | 28,373 | 187,511 | 24,470 | 57,737 | 30,795 | 129,774 |
| Technicians And Associate Professionals | 19,721 | 139,139 | 19,983 | 15,546 | 19,649 | 123,593 |
| Clerks | 16,991 | 110,454 | 15,151 | 33,927 | 18,211 | 76,527 |
| Service Workers And Shop And Market Sales Workers | 7,228 | 194,232 | 6,195 | 49,037 | 8,047 | 145,195 |
| Skilled Agricultural And Fishery Workers | 4,666 | 25,207 | 0 | 0 | 4,666 | 25,207 |
| Craft And Related Trades Workers | 5,362 | 667,483 | 7,863 | 447 | 5,361 | 667,036 |
| Plant And Machine Operators And Assemblers | 4,928 | 291,544 | 5,311 | 873 | 4,927 | 290,671 |
| Elementary Occupations | 3,964 | 386,818 | 3,181 | 110,550 | 5,136 | 276,268 |
| Total | 11,099 | 2,045,784 | 9,960 | 274,813 | 11,560 | 1,770,971 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1342.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1342--A2
|
What is the minimum monthly average wage across all occupations?
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": false, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": false, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": true, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": true, "Aggregation Num Of Aggregations": 1, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{3964}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `What is the minimum monthly average wage across all occupations?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `What is the minimum monthly average wage across all occupations?` \n\n # OUTPUT: \nAnswer:"}]
|
|
psa--13--1342
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Occupation,Total,__,Females,__,Males,__
1,__,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers
2,"Legislators, Senior Officials And Managers","44,744","43,396","32,125","6,696","47,740","36,700"
3,Professionals,"28,373","187,511","24,470","57,737","30,795","129,774"
4,Technicians And Associate Professionals,"19,721","139,139","19,983","15,546","19,649","123,593"
5,Clerks,"16,991","110,454","15,151","33,927","18,211","76,527"
6,Service Workers And Shop And Market Sales Workers,"7,228","194,232","6,195","49,037","8,047","145,195"
7,Skilled Agricultural And Fishery Workers,"4,666","25,207",0,0,"4,666","25,207"
8,Craft And Related Trades Workers,"5,362","667,483","7,863",447,"5,361","667,036"
9,Plant And Machine Operators And Assemblers,"4,928","291,544","5,311",873,"4,927","290,671"
10,Elementary Occupations,"3,964","386,818","3,181","110,550","5,136","276,268"
11,Total,"11,099","2,045,784","9,960","274,813","11,560","1,770,971"
|
<table id="0-1">
<tr><td rowspan="2">Occupation</td><td colspan="2">Total</td><td colspan="2">Females</td><td colspan="2">Males</td></tr>
<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>
<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>
<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>
<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>
<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>
<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>
<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>
<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>
<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>
<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>
<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>
</table>
|
| Occupation | Total | | Females | | Males | |
|---|---|---|---|---|---|---|
| | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers |
| Legislators, Senior Officials And Managers | 44,744 | 43,396 | 32,125 | 6,696 | 47,740 | 36,700 |
| Professionals | 28,373 | 187,511 | 24,470 | 57,737 | 30,795 | 129,774 |
| Technicians And Associate Professionals | 19,721 | 139,139 | 19,983 | 15,546 | 19,649 | 123,593 |
| Clerks | 16,991 | 110,454 | 15,151 | 33,927 | 18,211 | 76,527 |
| Service Workers And Shop And Market Sales Workers | 7,228 | 194,232 | 6,195 | 49,037 | 8,047 | 145,195 |
| Skilled Agricultural And Fishery Workers | 4,666 | 25,207 | 0 | 0 | 4,666 | 25,207 |
| Craft And Related Trades Workers | 5,362 | 667,483 | 7,863 | 447 | 5,361 | 667,036 |
| Plant And Machine Operators And Assemblers | 4,928 | 291,544 | 5,311 | 873 | 4,927 | 290,671 |
| Elementary Occupations | 3,964 | 386,818 | 3,181 | 110,550 | 5,136 | 276,268 |
| Total | 11,099 | 2,045,784 | 9,960 | 274,813 | 11,560 | 1,770,971 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1342.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1342--M1
|
Report the average monthly wage for all occupations.
| null |
{"Row Filter": false, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": false, "Row Filter Involved Columns Single": false, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": "", "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": false, "Row Filter Num Of Conditions": "", "Returned Columns": true, "Returned Columns Project On Plain": true, "Returned Columns Project On Expression": false, "Returned Columns Max Depth Of Involved Columns": "2", "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": false, "Returned Columns Num Of Output Columns": "1", "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": true, "Aggregation Aggregation On Plain": true, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": true, "Aggregation Grouping Local": false, "Aggregation Grouping Global": true, "Aggregation Aggregation In Table Present": true, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": "1", "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false, "Rank Report Top": ""}
|
{11099}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `Report the average monthly wage for all occupations.` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `Report the average monthly wage for all occupations.` \n\n # OUTPUT: \nAnswer:"}]
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|
psa--13--1342
|
realWorldHCTs
|
,0,1,2,3,4,5,6
0,Occupation,Total,__,Females,__,Males,__
1,__,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers,Monthly Average Wage,Paid employment Workers
2,"Legislators, Senior Officials And Managers","44,744","43,396","32,125","6,696","47,740","36,700"
3,Professionals,"28,373","187,511","24,470","57,737","30,795","129,774"
4,Technicians And Associate Professionals,"19,721","139,139","19,983","15,546","19,649","123,593"
5,Clerks,"16,991","110,454","15,151","33,927","18,211","76,527"
6,Service Workers And Shop And Market Sales Workers,"7,228","194,232","6,195","49,037","8,047","145,195"
7,Skilled Agricultural And Fishery Workers,"4,666","25,207",0,0,"4,666","25,207"
8,Craft And Related Trades Workers,"5,362","667,483","7,863",447,"5,361","667,036"
9,Plant And Machine Operators And Assemblers,"4,928","291,544","5,311",873,"4,927","290,671"
10,Elementary Occupations,"3,964","386,818","3,181","110,550","5,136","276,268"
11,Total,"11,099","2,045,784","9,960","274,813","11,560","1,770,971"
|
<table id="0-1">
<tr><td rowspan="2">Occupation</td><td colspan="2">Total</td><td colspan="2">Females</td><td colspan="2">Males</td></tr>
<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>
<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>
<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>
<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>
<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>
<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>
<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>
<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>
<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>
<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>
<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>
</table>
|
| Occupation | Total | | Females | | Males | |
|---|---|---|---|---|---|---|
| | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers | Monthly Average Wage | Paid employment Workers |
| Legislators, Senior Officials And Managers | 44,744 | 43,396 | 32,125 | 6,696 | 47,740 | 36,700 |
| Professionals | 28,373 | 187,511 | 24,470 | 57,737 | 30,795 | 129,774 |
| Technicians And Associate Professionals | 19,721 | 139,139 | 19,983 | 15,546 | 19,649 | 123,593 |
| Clerks | 16,991 | 110,454 | 15,151 | 33,927 | 18,211 | 76,527 |
| Service Workers And Shop And Market Sales Workers | 7,228 | 194,232 | 6,195 | 49,037 | 8,047 | 145,195 |
| Skilled Agricultural And Fishery Workers | 4,666 | 25,207 | 0 | 0 | 4,666 | 25,207 |
| Craft And Related Trades Workers | 5,362 | 667,483 | 7,863 | 447 | 5,361 | 667,036 |
| Plant And Machine Operators And Assemblers | 4,928 | 291,544 | 5,311 | 873 | 4,927 | 290,671 |
| Elementary Occupations | 3,964 | 386,818 | 3,181 | 110,550 | 5,136 | 276,268 |
| Total | 11,099 | 2,045,784 | 9,960 | 274,813 | 11,560 | 1,770,971 |
|
./datasets/realWorld_datasets/tables/images/psa_13_1342.jpg
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": false, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": false, "Balanced Row Nesting": false, "Symmetric Row Nesting": false, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
psa--13--1342--A4
|
For occupations with a total number of paid employment workers greater than 250,000, what is the difference between the monthly average wage of males and females?
| null |
{"Row Filter": true, "Row Filter Condition Type Lookup": false, "Row Filter Condition Type Expression": true, "Row Filter Involved Columns Single": true, "Row Filter Involved Columns Multiple": false, "Row Filter Max Depth Of Involved Columns": 1, "Row Filter Retained Rows Single": false, "Row Filter Retained Rows Multiple": true, "Row Filter Num Of Conditions": 1, "Returned Columns": true, "Returned Columns Project On Plain": false, "Returned Columns Project On Expression": true, "Returned Columns Max Depth Of Involved Columns": 1, "Returned Columns Expression In Table Present": false, "Returned Columns Expression In Table Not Present": true, "Returned Columns Num Of Output Columns": 1, "Yes/No": false, "Yes/No Scope Single": false, "Yes/No Scope Multiple": false, "Aggregation": false, "Aggregation Aggregation On Plain": false, "Aggregation Aggregation On Expression": false, "Aggregation Aggregation Type Min": false, "Aggregation Aggregation Type Max": false, "Aggregation Aggregation Type Count": false, "Aggregation Aggregation Type Sum": false, "Aggregation Aggregation Type Avg": false, "Aggregation Grouping Local": false, "Aggregation Grouping Global": false, "Aggregation Aggregation In Table Present": false, "Aggregation Aggregation In Table Not Present": false, "Aggregation Num Of Aggregations": false, "Rank": false, "Rank Rank On Plain": false, "Rank Rank On Expression": false}
|
{-2502} || {-384} || {1955}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `For occupations with a total number of paid employment workers greater than 250,000, what is the difference between the monthly average wage of males and females?` \n\n # OUTPUT: \nAnswer:"}]
|
[{"role": "user", "content": "You are a table question answering assistant. You are given a table in CSV format and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token. Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\n # INPUTS: \nTable: \n `<table id=\"0-1\">\n<tr><td rowspan=\"2\">Occupation</td><td colspan=\"2\">Total</td><td colspan=\"2\">Females</td><td colspan=\"2\">Males</td></tr>\n<tr><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td><td>Monthly Average Wage</td><td>Paid employment Workers</td></tr>\n<tr><td>Legislators, Senior Officials And Managers</td><td>44,744</td><td>43,396</td><td>32,125</td><td>6,696</td><td>47,740</td><td>36,700</td></tr>\n<tr><td>Professionals</td><td>28,373</td><td>187,511</td><td>24,470</td><td>57,737</td><td>30,795</td><td>129,774</td></tr>\n<tr><td>Technicians And Associate Professionals</td><td>19,721</td><td>139,139</td><td>19,983</td><td>15,546</td><td>19,649</td><td>123,593</td></tr>\n<tr><td>Clerks</td><td>16,991</td><td>110,454</td><td>15,151</td><td>33,927</td><td>18,211</td><td>76,527</td></tr>\n<tr><td>Service Workers And Shop And Market Sales Workers</td><td>7,228</td><td>194,232</td><td>6,195</td><td>49,037</td><td>8,047</td><td>145,195</td></tr>\n<tr><td>Skilled Agricultural And Fishery Workers</td><td>4,666</td><td>25,207</td><td>0</td><td>0</td><td>4,666</td><td>25,207</td></tr>\n<tr><td>Craft And Related Trades Workers</td><td>5,362</td><td>667,483</td><td>7,863</td><td>447</td><td>5,361</td><td>667,036</td></tr>\n<tr><td>Plant And Machine Operators And Assemblers</td><td>4,928</td><td>291,544</td><td>5,311</td><td>873</td><td>4,927</td><td>290,671</td></tr>\n<tr><td>Elementary Occupations</td><td>3,964</td><td>386,818</td><td>3,181</td><td>110,550</td><td>5,136</td><td>276,268</td></tr>\n<tr><td>Total</td><td>11,099</td><td>2,045,784</td><td>9,960</td><td>274,813</td><td>11,560</td><td>1,770,971</td></tr>\n</table>` \n\nQuestion: `For occupations with a total number of paid employment workers greater than 250,000, what is the difference between the monthly average wage of males and females?` \n\n # OUTPUT: \nAnswer:"}]
|
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