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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 2 new columns ({'Failure', 'UDI'})
This happened while the csv dataset builder was generating data using
hf://datasets/aks2022/Machine-Failure-Prediction/machine-failure-prediction.csv (at revision f389893f047f11cc4e7211d7fefe3faef9dcf55e)
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/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
UDI: int64
Type: string
Air temperature: double
Process temperature: double
Rotational speed: int64
Torque: double
Tool wear: int64
Failure: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1212
to
{'Type': Value('int64'), 'Air temperature': Value('float64'), 'Process temperature': Value('float64'), 'Rotational speed': Value('int64'), 'Torque': Value('float64'), 'Tool wear': 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/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/python3.9/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/python3.9/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 2 new columns ({'Failure', 'UDI'})
This happened while the csv dataset builder was generating data using
hf://datasets/aks2022/Machine-Failure-Prediction/machine-failure-prediction.csv (at revision f389893f047f11cc4e7211d7fefe3faef9dcf55e)
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.
Type
int64 | Air temperature
float64 | Process temperature
float64 | Rotational speed
int64 | Torque
float64 | Tool wear
int64 |
|---|---|---|---|---|---|
1
| 300.8
| 330.037037
| 1,538
| 36.1
| 198
|
2
| 303.6
| 335.592593
| 1,421
| 44.8
| 101
|
2
| 298.3
| 321.148148
| 1,485
| 42
| 117
|
1
| 303.3
| 333.740741
| 1,592
| 33.7
| 14
|
1
| 302.4
| 330.407407
| 1,865
| 23.9
| 129
|
0
| 300.5
| 328.555556
| 1,397
| 45.9
| 210
|
0
| 297.7
| 327.814815
| 1,440
| 51.1
| 191
|
1
| 303.7
| 338.925926
| 1,335
| 51.1
| 161
|
2
| 300
| 327.444444
| 1,618
| 36.2
| 53
|
2
| 297.4
| 322.62963
| 1,535
| 34.6
| 51
|
0
| 299.7
| 325.962963
| 1,456
| 40.6
| 182
|
1
| 300.3
| 335.222222
| 1,707
| 33.6
| 158
|
2
| 303.6
| 340.037037
| 1,396
| 38.2
| 117
|
1
| 302.4
| 335.222222
| 1,495
| 36.8
| 215
|
1
| 302
| 332.62963
| 1,420
| 45.9
| 144
|
1
| 300.6
| 332.259259
| 1,471
| 37.9
| 86
|
1
| 297.8
| 327.814815
| 1,341
| 49.2
| 208
|
1
| 298.3
| 322.62963
| 1,452
| 45.5
| 63
|
1
| 300.6
| 330.407407
| 1,556
| 37.7
| 122
|
1
| 299.6
| 331.888889
| 1,400
| 40.8
| 118
|
2
| 298.8
| 326.333333
| 1,618
| 35.1
| 173
|
1
| 299.2
| 323.37037
| 1,442
| 46.5
| 11
|
1
| 303.1
| 333.37037
| 1,435
| 40.1
| 219
|
1
| 298.9
| 327.444444
| 1,589
| 34.2
| 197
|
1
| 303.7
| 338.925926
| 1,395
| 53.9
| 123
|
0
| 298.5
| 324.111111
| 1,450
| 43.9
| 28
|
1
| 297.7
| 319.666667
| 1,379
| 43.3
| 111
|
0
| 299.1
| 330.407407
| 1,369
| 54.5
| 104
|
1
| 301.7
| 331.518519
| 1,763
| 25.9
| 3
|
1
| 297.5
| 324.851852
| 1,443
| 43.5
| 0
|
1
| 297.8
| 323
| 1,518
| 32.5
| 190
|
1
| 299.8
| 327.444444
| 1,447
| 43.1
| 12
|
1
| 303
| 333.37037
| 1,511
| 45.7
| 184
|
2
| 303.8
| 338.925926
| 1,555
| 33.4
| 128
|
1
| 298.6
| 327.074074
| 1,325
| 52.2
| 127
|
1
| 301.6
| 331.888889
| 1,564
| 34.1
| 150
|
2
| 302.5
| 335.962963
| 1,298
| 57.5
| 57
|
2
| 298
| 322.259259
| 1,466
| 42.6
| 2
|
1
| 302.3
| 334.111111
| 1,535
| 41.8
| 77
|
2
| 301.6
| 330.777778
| 1,414
| 49.3
| 106
|
2
| 302.3
| 335.222222
| 1,540
| 28.9
| 149
|
2
| 298.8
| 325.962963
| 1,452
| 48.6
| 98
|
1
| 298.6
| 327.444444
| 1,353
| 62.5
| 9
|
1
| 298.1
| 324.111111
| 1,568
| 32.9
| 10
|
1
| 298.5
| 327.074074
| 1,480
| 38.1
| 160
|
1
| 298.8
| 325.592593
| 1,350
| 52.5
| 111
|
1
| 303.6
| 337.074074
| 1,696
| 30.7
| 5
|
2
| 301.8
| 331.518519
| 1,383
| 45.7
| 44
|
1
| 298.1
| 319.666667
| 1,684
| 33.1
| 200
|
1
| 299.1
| 323.37037
| 1,455
| 39.8
| 145
|
1
| 302.3
| 333.37037
| 1,758
| 24.4
| 68
|
1
| 298.8
| 331.148148
| 1,651
| 33.3
| 0
|
1
| 303.8
| 339.666667
| 1,819
| 23.7
| 16
|
2
| 300.1
| 333.740741
| 1,650
| 33.8
| 38
|
2
| 300.6
| 328.185185
| 1,447
| 42.9
| 12
|
1
| 300.8
| 335.222222
| 1,681
| 31.3
| 221
|
2
| 300.3
| 327.074074
| 1,665
| 31.4
| 32
|
0
| 299.1
| 328.925926
| 1,431
| 49.5
| 205
|
2
| 299.2
| 325.222222
| 1,541
| 36.3
| 104
|
1
| 298.9
| 323.740741
| 1,539
| 45.4
| 4
|
1
| 297.3
| 323
| 1,339
| 52.1
| 36
|
1
| 301
| 337.074074
| 1,602
| 35.9
| 67
|
1
| 300.9
| 331.518519
| 1,479
| 43.3
| 201
|
2
| 298.8
| 324.481482
| 1,497
| 46.8
| 72
|
1
| 299
| 330.037037
| 1,520
| 45
| 171
|
1
| 299.6
| 332.259259
| 1,448
| 46.3
| 196
|
1
| 299.7
| 325.592593
| 1,715
| 27.8
| 192
|
1
| 298.5
| 328.185185
| 1,593
| 35.1
| 203
|
2
| 301.3
| 332.62963
| 1,495
| 40.8
| 148
|
2
| 300.5
| 326.333333
| 1,578
| 30.5
| 34
|
2
| 303.4
| 338.925926
| 1,399
| 48.4
| 34
|
2
| 297
| 320.777778
| 1,579
| 34.1
| 94
|
0
| 301.8
| 331.148148
| 1,441
| 46.3
| 100
|
1
| 300.7
| 327.444444
| 1,733
| 24.8
| 85
|
2
| 300.7
| 327.444444
| 1,421
| 49.8
| 165
|
1
| 299.7
| 333.37037
| 1,352
| 52.1
| 176
|
1
| 295.9
| 316.333333
| 1,557
| 41.1
| 113
|
1
| 301.7
| 332.62963
| 1,700
| 28.7
| 19
|
2
| 297.6
| 322.62963
| 1,648
| 29.1
| 134
|
0
| 298.7
| 323
| 1,560
| 33.3
| 53
|
2
| 297.3
| 323
| 1,521
| 38.2
| 87
|
1
| 295.5
| 314.851852
| 1,448
| 48.9
| 65
|
2
| 303.3
| 338.555556
| 1,397
| 47.1
| 137
|
0
| 302.4
| 333.37037
| 1,506
| 40.8
| 204
|
1
| 301.3
| 332.62963
| 1,554
| 47.7
| 84
|
2
| 300.5
| 328.925926
| 1,415
| 43.5
| 98
|
2
| 301.3
| 330.407407
| 1,577
| 48.3
| 78
|
1
| 300.4
| 327.814815
| 1,488
| 35.7
| 177
|
1
| 297
| 320.777778
| 1,500
| 39.9
| 175
|
1
| 300.3
| 334.481482
| 1,548
| 32.2
| 25
|
1
| 299.9
| 333.740741
| 1,647
| 27.5
| 26
|
1
| 300.8
| 335.222222
| 1,432
| 45.8
| 6
|
2
| 298.2
| 324.481482
| 1,456
| 41.2
| 150
|
1
| 296.8
| 320.777778
| 1,565
| 39.5
| 124
|
1
| 300.4
| 327.814815
| 1,534
| 42.5
| 127
|
1
| 302.3
| 331.888889
| 1,377
| 47.3
| 22
|
1
| 297.9
| 325.592593
| 1,595
| 32
| 32
|
2
| 299.9
| 333.37037
| 1,579
| 35.5
| 162
|
1
| 300.2
| 333.740741
| 1,487
| 36.9
| 71
|
1
| 299.8
| 328.555556
| 1,553
| 36.6
| 157
|
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