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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 38 new columns ({'300.1', '300.3', '5868900', '5879000', '5846500', '5849700', '5859800', '200.3', '100.1', '5842700', '5873900', '5853000', '300.2', '5.1', '300', '200.2', '500', '5870000', '5861000', '5869500', '10', '5849300', '150', '5850100', '5843800', '5', '5859400', '100', '1160', '5876500', '5871000', '200', '5851000', '200.1', '300.4', '5845300', '89', '50'}) and 4 missing columns ({'34200.004241176', '1', '1.1', '16113575'}).
This happened while the csv dataset builder was generating data using
hf://datasets/totalorganfailure/lobster-data/LOBSTER_SampleFile_AAPL_2012-06-21_10/AAPL_2012-06-21_34200000_57600000_orderbook_10.csv (at revision fb51a829d2b5a78c79468db533ba28c5f1d161d0)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
5859400: int64
200: int64
5853300: int64
18: int64
5859800: int64
200.1: int64
5853000: int64
150: int64
5861000: int64
200.2: int64
5851000: int64
5: int64
5868900: int64
300: int64
5850100: int64
89: int64
5869500: int64
50: int64
5849700: int64
5.1: int64
5870000: int64
100: int64
5849300: int64
300.1: int64
5871000: int64
10: int64
5846500: int64
300.2: int64
5873900: int64
100.1: int64
5845300: int64
300.3: int64
5876500: int64
1160: int64
5843800: int64
200.3: int64
5879000: int64
500: int64
5842700: int64
300.4: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4565
to
{'34200.004241176': Value('float64'), '1': Value('int64'), '16113575': Value('int64'), '18': Value('int64'), '5853300': Value('int64'), '1.1': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 38 new columns ({'300.1', '300.3', '5868900', '5879000', '5846500', '5849700', '5859800', '200.3', '100.1', '5842700', '5873900', '5853000', '300.2', '5.1', '300', '200.2', '500', '5870000', '5861000', '5869500', '10', '5849300', '150', '5850100', '5843800', '5', '5859400', '100', '1160', '5876500', '5871000', '200', '5851000', '200.1', '300.4', '5845300', '89', '50'}) and 4 missing columns ({'34200.004241176', '1', '1.1', '16113575'}).
This happened while the csv dataset builder was generating data using
hf://datasets/totalorganfailure/lobster-data/LOBSTER_SampleFile_AAPL_2012-06-21_10/AAPL_2012-06-21_34200000_57600000_orderbook_10.csv (at revision fb51a829d2b5a78c79468db533ba28c5f1d161d0)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
34200.004241176
float64 | 1
int64 | 16113575
int64 | 18
int64 | 5853300
int64 | 1.1
int64 |
|---|---|---|---|---|---|
34,200.004261
| 1
| 16,113,584
| 18
| 5,853,200
| 1
|
34,200.004447
| 1
| 16,113,594
| 18
| 5,853,100
| 1
|
34,200.025552
| 1
| 16,120,456
| 18
| 5,859,100
| -1
|
34,200.02558
| 1
| 16,120,480
| 18
| 5,859,200
| -1
|
34,200.025613
| 1
| 16,120,503
| 18
| 5,859,300
| -1
|
34,200.050241
| 1
| 16,127,688
| 100
| 5,850,000
| 1
|
34,200.201518
| 1
| 16,166,035
| 100
| 5,859,300
| -1
|
34,200.201736
| 3
| 16,113,594
| 18
| 5,853,100
| 1
|
34,200.201742
| 3
| 16,113,584
| 18
| 5,853,200
| 1
|
34,200.201743
| 3
| 16,120,456
| 18
| 5,859,100
| -1
|
34,200.201768
| 3
| 16,120,503
| 18
| 5,859,300
| -1
|
34,200.201781
| 3
| 16,120,480
| 18
| 5,859,200
| -1
|
34,200.201966
| 1
| 16,166,175
| 2
| 5,849,900
| 1
|
34,200.205573
| 1
| 16,167,159
| 18
| 5,853,600
| 1
|
34,200.205597
| 1
| 16,167,166
| 18
| 5,853,500
| 1
|
34,200.27174
| 1
| 3,647,217
| 20
| 5,857,300
| 1
|
34,200.27174
| 1
| 5,740,544
| 40
| 5,857,400
| -1
|
34,200.27174
| 1
| 2,109,823
| 50
| 5,857,000
| 1
|
34,200.27174
| 1
| 3,570,647
| 50
| 5,857,500
| -1
|
34,200.27174
| 1
| 3,237,773
| 20
| 5,856,900
| 1
|
34,200.27174
| 1
| 3,647,221
| 5
| 5,857,500
| -1
|
34,200.27174
| 1
| 3,583,158
| 5
| 5,856,500
| 1
|
34,200.27174
| 1
| 3,647,222
| 7
| 5,857,500
| -1
|
34,200.27174
| 1
| 3,647,220
| 20
| 5,856,400
| 1
|
34,200.27174
| 1
| 5,230,851
| 20
| 5,857,500
| -1
|
34,200.27174
| 1
| 4,731,250
| 3
| 5,856,000
| 1
|
34,200.27174
| 1
| 1,373,927
| 25
| 5,857,800
| -1
|
34,200.27174
| 1
| 1,601,225
| 20
| 5,857,800
| -1
|
34,200.27174
| 1
| 2,606,421
| 4
| 5,858,000
| -1
|
34,200.27174
| 1
| 1,364,835
| 5
| 5,858,200
| -1
|
34,200.27174
| 1
| 7,277,867
| 7
| 5,858,300
| -1
|
34,200.274847
| 3
| 16,167,159
| 18
| 5,853,600
| 1
|
34,200.274848
| 3
| 16,113,575
| 18
| 5,853,300
| 1
|
34,200.27493
| 3
| 16,167,166
| 18
| 5,853,500
| 1
|
34,200.275016
| 4
| 5,740,544
| 40
| 5,857,400
| -1
|
34,200.275016
| 4
| 3,570,647
| 25
| 5,857,500
| -1
|
34,200.275057
| 4
| 3,647,217
| 1
| 5,857,300
| 1
|
34,200.275063
| 4
| 3,647,217
| 10
| 5,857,300
| 1
|
34,200.275072
| 4
| 3,570,647
| 25
| 5,857,500
| -1
|
34,200.275072
| 4
| 3,647,221
| 5
| 5,857,500
| -1
|
34,200.275072
| 4
| 3,647,222
| 7
| 5,857,500
| -1
|
34,200.275072
| 4
| 5,230,851
| 20
| 5,857,500
| -1
|
34,200.275072
| 4
| 1,373,927
| 25
| 5,857,800
| -1
|
34,200.275072
| 4
| 1,601,225
| 20
| 5,857,800
| -1
|
34,200.275072
| 5
| 0
| 100
| 5,857,900
| -1
|
34,200.275072
| 4
| 2,606,421
| 4
| 5,858,000
| -1
|
34,200.275072
| 4
| 1,364,835
| 5
| 5,858,200
| -1
|
34,200.275072
| 4
| 7,277,867
| 7
| 5,858,300
| -1
|
34,200.275072
| 5
| 0
| 3
| 5,859,000
| -1
|
34,200.275072
| 5
| 0
| 200
| 5,859,000
| -1
|
34,200.275072
| 5
| 0
| 1
| 5,859,100
| -1
|
34,200.275072
| 5
| 0
| 1
| 5,859,200
| -1
|
34,200.275072
| 5
| 0
| 300
| 5,859,200
| -1
|
34,200.275072
| 4
| 16,166,035
| 37
| 5,859,300
| -1
|
34,200.275087
| 1
| 16,182,629
| 100
| 5,852,500
| 1
|
34,200.275123
| 1
| 16,182,649
| 50
| 5,857,400
| 1
|
34,200.277208
| 3
| 15,836,282
| 100
| 5,868,900
| -1
|
34,200.277699
| 3
| 15,847,383
| 100
| 5,873,900
| -1
|
34,200.280396
| 1
| 16,183,794
| 18
| 5,857,700
| 1
|
34,200.280424
| 1
| 16,183,801
| 18
| 5,857,600
| 1
|
34,200.280446
| 1
| 16,183,806
| 18
| 5,857,500
| 1
|
34,200.29384
| 1
| 16,186,225
| 100
| 5,857,000
| 1
|
34,200.347391
| 1
| 16,196,199
| 100
| 5,859,300
| -1
|
34,200.358687
| 4
| 16,166,035
| 4
| 5,859,300
| -1
|
34,200.393803
| 1
| 16,207,125
| 100
| 5,859,400
| -1
|
34,200.393976
| 3
| 16,182,649
| 50
| 5,857,400
| 1
|
34,200.394002
| 3
| 16,183,801
| 18
| 5,857,600
| 1
|
34,200.394003
| 3
| 16,183,806
| 18
| 5,857,500
| 1
|
34,200.394048
| 1
| 16,207,170
| 100
| 5,859,900
| -1
|
34,200.395117
| 1
| 16,207,442
| 200
| 5,859,800
| -1
|
34,200.417747
| 4
| 16,183,794
| 18
| 5,857,700
| 1
|
34,200.417747
| 4
| 3,647,217
| 9
| 5,857,300
| 1
|
34,200.417747
| 5
| 0
| 23
| 5,857,200
| 1
|
34,200.418944
| 5
| 0
| 77
| 5,857,200
| 1
|
34,200.418944
| 4
| 2,109,823
| 23
| 5,857,000
| 1
|
34,200.41909
| 1
| 16,211,220
| 18
| 5,859,200
| -1
|
34,200.459503
| 3
| 16,186,225
| 100
| 5,857,000
| 1
|
34,200.4597
| 1
| 16,220,046
| 100
| 5,854,500
| 1
|
34,200.484613
| 1
| 16,225,065
| 300
| 5,870,000
| -1
|
34,200.484768
| 1
| 16,225,109
| 300
| 5,870,000
| -1
|
34,200.502026
| 3
| 16,220,046
| 100
| 5,854,500
| 1
|
34,200.544528
| 1
| 16,235,607
| 5
| 5,863,300
| -1
|
34,200.6106
| 3
| 16,196,199
| 100
| 5,859,300
| -1
|
34,200.610751
| 3
| 16,211,220
| 18
| 5,859,200
| -1
|
34,200.615389
| 1
| 16,249,592
| 100
| 5,854,400
| 1
|
34,200.698811
| 1
| 16,265,081
| 100
| 5,854,500
| 1
|
34,200.701389
| 1
| 16,265,573
| 100
| 5,858,700
| -1
|
34,200.702574
| 1
| 16,265,761
| 67
| 5,854,400
| 1
|
34,200.76306
| 4
| 2,109,823
| 1
| 5,857,000
| 1
|
34,200.833565
| 3
| 16,265,081
| 100
| 5,854,500
| 1
|
34,200.833761
| 1
| 16,284,218
| 100
| 5,857,000
| 1
|
34,200.834525
| 3
| 16,284,218
| 100
| 5,857,000
| 1
|
34,200.834769
| 1
| 16,284,304
| 100
| 5,854,500
| 1
|
34,200.887406
| 5
| 0
| 47
| 5,858,600
| -1
|
34,200.887489
| 1
| 16,291,236
| 18
| 5,857,000
| 1
|
34,200.887549
| 1
| 16,291,244
| 18
| 5,857,100
| 1
|
34,200.888239
| 3
| 16,284,304
| 100
| 5,854,500
| 1
|
34,200.888357
| 1
| 16,291,389
| 100
| 5,856,000
| 1
|
34,200.888642
| 3
| 16,291,389
| 100
| 5,856,000
| 1
|
34,200.8888
| 1
| 16,291,456
| 100
| 5,856,100
| 1
|
End of preview.