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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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
|
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