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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/praneeth232/machine-failure-prediction/machine-failure-prediction.csv (at revision bbaf320ba099324f61717196810a630ffbc9c6ef)
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, "' + 1210
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/praneeth232/machine-failure-prediction/machine-failure-prediction.csv (at revision bbaf320ba099324f61717196810a630ffbc9c6ef)
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
| 297.4
| 324.111111
| 1,510
| 36.2
| 92
|
1
| 296.8
| 320.777778
| 1,373
| 42.9
| 74
|
1
| 298.4
| 323.740741
| 1,477
| 44
| 124
|
2
| 297.9
| 323.37037
| 1,449
| 40.8
| 157
|
1
| 296.9
| 323
| 1,390
| 41.8
| 184
|
1
| 297.8
| 328.185185
| 1,533
| 36.8
| 198
|
1
| 296.3
| 318.925926
| 1,567
| 31.4
| 5
|
1
| 297.6
| 326.703704
| 1,958
| 22.1
| 108
|
1
| 297.3
| 322.62963
| 1,504
| 36.3
| 45
|
1
| 297.9
| 325.962963
| 1,478
| 39.7
| 10
|
2
| 295.5
| 314.111111
| 1,326
| 50.8
| 18
|
1
| 298.3
| 328.925926
| 1,858
| 23.9
| 114
|
1
| 295.9
| 316.333333
| 1,414
| 50.2
| 51
|
1
| 297.9
| 328.185185
| 1,336
| 71.6
| 31
|
1
| 295.6
| 314.481482
| 1,389
| 46.2
| 113
|
2
| 298.9
| 325.222222
| 1,924
| 22.6
| 193
|
2
| 296.6
| 319.666667
| 1,482
| 39.9
| 153
|
1
| 297.3
| 324.111111
| 1,619
| 31.6
| 129
|
1
| 297.5
| 323.37037
| 1,335
| 48
| 131
|
1
| 298.4
| 323.740741
| 1,591
| 36.7
| 122
|
1
| 297.7
| 327.814815
| 1,498
| 41
| 176
|
2
| 297.4
| 322.259259
| 1,424
| 53.9
| 120
|
0
| 295.6
| 314.111111
| 1,396
| 52.4
| 0
|
2
| 295.6
| 314.851852
| 1,584
| 33.6
| 81
|
1
| 295.6
| 314.851852
| 1,569
| 35.1
| 140
|
1
| 298.8
| 325.592593
| 1,378
| 54.4
| 165
|
1
| 298.4
| 322.62963
| 1,433
| 62.3
| 20
|
1
| 298
| 322.62963
| 1,405
| 56.2
| 218
|
1
| 296.9
| 320.037037
| 1,452
| 45.7
| 122
|
2
| 297.5
| 322.259259
| 2,448
| 13.8
| 29
|
2
| 297.6
| 327.444444
| 1,330
| 53.1
| 7
|
1
| 297.8
| 323
| 1,512
| 39.9
| 181
|
1
| 298.3
| 329.296296
| 1,545
| 36.3
| 90
|
1
| 297.5
| 326.703704
| 1,803
| 24.7
| 98
|
2
| 298.4
| 329.666667
| 1,725
| 32
| 80
|
1
| 297.7
| 325.592593
| 1,477
| 38.3
| 60
|
2
| 298.4
| 322.259259
| 1,499
| 40
| 211
|
1
| 298.4
| 324.111111
| 1,588
| 35
| 99
|
2
| 297.6
| 324.851852
| 1,479
| 38.1
| 182
|
0
| 297.6
| 327.444444
| 1,428
| 46.6
| 13
|
1
| 296.9
| 321.888889
| 1,435
| 45.3
| 62
|
1
| 297.5
| 322.62963
| 2,564
| 12.8
| 127
|
2
| 295.6
| 314.481482
| 1,418
| 46.2
| 24
|
2
| 297.3
| 323
| 1,665
| 28.9
| 17
|
1
| 298.4
| 323.740741
| 1,433
| 47.1
| 101
|
0
| 297.7
| 327.814815
| 1,440
| 51.1
| 191
|
0
| 298
| 321.888889
| 1,440
| 43.7
| 37
|
1
| 296.9
| 322.62963
| 1,555
| 38.2
| 175
|
1
| 298.8
| 324.851852
| 1,461
| 47.9
| 206
|
1
| 295.8
| 315.962963
| 1,358
| 49.2
| 63
|
1
| 298.3
| 328.555556
| 1,507
| 41.6
| 112
|
1
| 297.6
| 327.074074
| 1,373
| 50.6
| 55
|
1
| 296.8
| 321.518519
| 1,675
| 29.7
| 46
|
1
| 299
| 326.703704
| 1,758
| 25.7
| 68
|
2
| 299.1
| 327.074074
| 1,339
| 48.2
| 86
|
1
| 297.7
| 323.37037
| 1,373
| 56.7
| 203
|
0
| 298.4
| 324.851852
| 1,782
| 23.9
| 24
|
2
| 297.4
| 326.333333
| 1,775
| 25.8
| 91
|
1
| 297.4
| 326.703704
| 1,296
| 52.3
| 96
|
2
| 296.9
| 323
| 1,450
| 46.9
| 186
|
1
| 298.7
| 325.222222
| 1,691
| 30.1
| 154
|
2
| 296
| 316.333333
| 1,628
| 36.8
| 121
|
2
| 295.4
| 313.37037
| 1,526
| 38.2
| 181
|
1
| 297.4
| 325.962963
| 1,620
| 33.2
| 28
|
2
| 297.8
| 325.222222
| 1,434
| 43.3
| 96
|
1
| 297.5
| 323
| 1,604
| 38.1
| 106
|
0
| 297.8
| 326.703704
| 1,445
| 48.2
| 10
|
2
| 297.3
| 323.740741
| 1,471
| 50.7
| 157
|
2
| 298.2
| 322.62963
| 1,522
| 49.1
| 22
|
1
| 295.7
| 314.851852
| 1,464
| 46.2
| 92
|
2
| 299
| 325.222222
| 1,575
| 35.3
| 47
|
2
| 298.8
| 324.481482
| 1,497
| 46.8
| 72
|
1
| 297.6
| 325.962963
| 1,611
| 33.1
| 155
|
1
| 298.2
| 321.888889
| 1,306
| 58.3
| 35
|
1
| 297.5
| 326.703704
| 1,497
| 35.8
| 44
|
1
| 295.6
| 314.111111
| 1,569
| 40.4
| 174
|
1
| 298.8
| 325.592593
| 1,350
| 52.5
| 111
|
1
| 297.4
| 323.740741
| 1,609
| 36.2
| 116
|
2
| 297.5
| 327.074074
| 1,448
| 43.7
| 46
|
1
| 295.9
| 316.333333
| 1,679
| 30.4
| 117
|
2
| 298.9
| 324.851852
| 1,679
| 28.7
| 181
|
1
| 297.5
| 326.703704
| 1,650
| 34.6
| 142
|
0
| 298.8
| 324.851852
| 1,466
| 44.1
| 184
|
1
| 295.8
| 315.222222
| 1,337
| 54.6
| 87
|
2
| 297.6
| 323
| 1,507
| 46
| 51
|
2
| 297.6
| 323.37037
| 1,848
| 23.7
| 37
|
2
| 297.7
| 325.962963
| 1,732
| 28.8
| 152
|
1
| 297.4
| 325.962963
| 1,428
| 38.8
| 26
|
1
| 297.6
| 324.111111
| 1,622
| 37.9
| 79
|
2
| 297.4
| 325.222222
| 1,685
| 30.7
| 177
|
1
| 297.6
| 323
| 1,353
| 57.5
| 88
|
1
| 297.5
| 323.740741
| 1,552
| 44.9
| 77
|
2
| 296.7
| 320.037037
| 1,547
| 34.7
| 150
|
1
| 297.5
| 326.333333
| 1,732
| 29.9
| 32
|
2
| 296.9
| 321.148148
| 2,010
| 18.9
| 86
|
2
| 299
| 325.222222
| 1,419
| 45.2
| 27
|
2
| 298.9
| 325.222222
| 1,812
| 25.9
| 174
|
1
| 296.6
| 319.296296
| 1,436
| 42.8
| 156
|
2
| 298.3
| 329.296296
| 1,389
| 49.6
| 75
|
0
| 296.9
| 320.777778
| 1,549
| 37.8
| 104
|
End of preview.