Datasets:
TinTinDo
/
Data

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 7.500000 was truncated converting to int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value 7.500000 was truncated converting to int64
              
              The above exception was the direct cause of the following exception:
              
              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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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Duration
int64
Average_Pulse
int64
Max_Pulse
int64
Calorie_Burnage
int64
Hours_Work
int64
Hours_Sleep
int64
30
80
120
240
10
7
45
85
120
250
10
7
45
90
130
260
8
7
60
95
130
270
8
7
60
100
140
280
0
7
60
105
140
290
7
8
60
110
145
300
7
8
45
115
145
310
8
8
60
120
150
320
0
8
45
125
150
330
8
8
30
80
120
240
10
7
45
85
120
250
10
7
45
90
130
260
8
7
60
95
130
270
8
7
60
100
140
280
0
7
60
105
140
290
7
8
60
110
145
300
7
8
45
115
145
310
8
8
60
120
150
320
0
8
45
125
150
330
8
8
30
80
120
240
10
7
45
85
120
250
10
7
45
90
130
260
8
7
60
95
130
270
8
7
60
100
140
280
0
7
60
105
140
290
7
8
60
110
145
300
7
8
45
115
145
310
8
8
60
120
150
320
0
8
45
125
150
330
8
8
30
80
120
240
10
7
45
85
120
250
10
7
45
90
130
260
8
7
60
95
130
270
8
7
60
100
140
280
0
7
60
105
140
290
7
8
60
110
145
300
7
8
45
115
145
310
8
8
60
120
150
320
0
8
45
125
150
330
8
8
60
110
130
409
0
8
60
117
145
479
0
8
60
103
135
340
8
7.5
45
109
175
282
8
8
45
117
148
406
0
6.5
60
102
127
300
0
7.5
60
110
136
374
0
7.5
45
104
134
253
0
9
30
109
133
195
8
8
60
98
124
269
7.5
8
60
103
147
329
8
7
60
100
120
250
0
5
60
106
128
345
8.5
7.5
60
104
132
379
8.5
7.5
60
98
123
275
9
7
60
98
120
215
6.5
7
60
100
120
300
9
8
45
90
112
180
8
8
60
103
123
323
8
8
45
97
125
243
8
7
60
108
131
364
8
7
45
100
119
282
0
7
60
130
101
300
8
7
45
105
132
246
0
8
60
102
126
334
8
8
60
100
120
250
8
7
60
92
118
241
7
6
60
103
132
353
9
8.5
60
100
132
280
3
8
60
102
129
380
3
8
60
92
115
243
7.5
8
60
101
124
299
8.5
7.5
60
93
113
223
8
7
60
107
136
361
2
8
60
114
140
415
9
8.5
60
100
120
300
8
7
60
100
120
300
7
6
45
104
129
266
8
7
60
98
126
286
7.5
7
60
100
122
329
8
7
60
111
138
400
8
8
60
111
131
397
0
8
60
99
119
273
8
7
60
109
153
387
8
7
45
111
136
300
11
7
45
108
129
298
5
7
60
111
139
397
0
8
60
107
136
380
8.5
8
80
123
146
643
8.5
8
60
106
130
263
8
8
60
118
151
486
7
7
30
136
175
238
0
7.5
60
121
146
450
5
8
60
118
121
413
8
7
45
115
144
305
5
7
20
153
172
226
0
8
45
123
152
321
5
8
210
108
160
1,376
8
8
160
110
137
1,034
8
8
160
109
135
853
8
8
End of preview.