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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 1 new columns ({'Engine_Condition'}) and 6 missing columns ({'Engine_rpm', 'lub_oil_temp', 'Coolant_temp', 'Fuel_pressure', 'Coolant_pressure', 'Lub_oil_pressure'}).
This happened while the csv dataset builder was generating data using
hf://datasets/CodingBuddy/Predictive-maintenance/y_train.csv (at revision 92ff18ba0bff25ceafe348d79644978c48644aa5)
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 "/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 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Engine_Condition: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 392
to
{'Engine_rpm': Value('int64'), 'Lub_oil_pressure': Value('float64'), 'Fuel_pressure': Value('float64'), 'Coolant_pressure': Value('float64'), 'lub_oil_temp': Value('float64'), 'Coolant_temp': Value('float64')}
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 1339, 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 972, 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 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 1 new columns ({'Engine_Condition'}) and 6 missing columns ({'Engine_rpm', 'lub_oil_temp', 'Coolant_temp', 'Fuel_pressure', 'Coolant_pressure', 'Lub_oil_pressure'}).
This happened while the csv dataset builder was generating data using
hf://datasets/CodingBuddy/Predictive-maintenance/y_train.csv (at revision 92ff18ba0bff25ceafe348d79644978c48644aa5)
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.
Engine_rpm
int64 | Lub_oil_pressure
float64 | Fuel_pressure
float64 | Coolant_pressure
float64 | lub_oil_temp
float64 | Coolant_temp
float64 |
|---|---|---|---|---|---|
489
| 2.134818
| 5.674162
| 3.370571
| 76.291865
| 74.695573
|
910
| 2.10541
| 5.381185
| 1.714422
| 75.479919
| 79.92753
|
523
| 2.991344
| 4.781397
| 2.687113
| 76.939586
| 76.40191
|
727
| 2.928145
| 8.276127
| 1.318319
| 78.202955
| 71.288606
|
666
| 3.527191
| 8.625874
| 2.096356
| 74.028029
| 66.678025
|
645
| 2.370529
| 7.621057
| 1.390177
| 86.239597
| 78.358652
|
1,029
| 2.402729
| 7.245764
| 2.314968
| 76.984773
| 80.014393
|
899
| 2.463034
| 5.814229
| 1.671851
| 78.5851
| 69.051388
|
984
| 3.692439
| 5.295042
| 1.662781
| 78.401538
| 65.332227
|
877
| 2.031846
| 4.135845
| 2.454267
| 76.259382
| 75.972441
|
808
| 5.054628
| 11.762847
| 1.498095
| 78.148476
| 81.133974
|
985
| 3.680778
| 4.997288
| 3.280425
| 76.478806
| 76.403894
|
543
| 5.243985
| 8.415203
| 2.606358
| 75.916037
| 75.886057
|
1,213
| 2.615431
| 12.880649
| 2.189643
| 76.892099
| 73.269793
|
1,000
| 2.737609
| 7.050306
| 2.978769
| 77.640835
| 70.935765
|
844
| 2.12148
| 4.123632
| 3.392019
| 76.47297
| 79.47549
|
385
| 4.87901
| 9.545393
| 2.856513
| 75.122606
| 69.434771
|
1,023
| 5.043413
| 12.864281
| 2.84669
| 76.326291
| 79.175506
|
537
| 4.156876
| 4.950165
| 2.970651
| 76.293586
| 80.982348
|
568
| 1.694807
| 12.348968
| 2.549711
| 73.736636
| 74.466254
|
956
| 3.801883
| 5.681047
| 3.222322
| 77.899396
| 73.157387
|
531
| 2.752722
| 3.742765
| 2.564416
| 77.006995
| 67.639895
|
833
| 2.168215
| 10.163609
| 1.516405
| 77.252448
| 79.425184
|
689
| 2.689093
| 3.075331
| 1.867306
| 74.255208
| 73.180785
|
838
| 2.186042
| 2.300803
| 1.804424
| 82.053763
| 79.710716
|
848
| 2.649552
| 5.354388
| 2.206415
| 75.003057
| 68.549884
|
693
| 4.783418
| 7.651037
| 2.477349
| 77.079288
| 76.570091
|
594
| 3.084191
| 6.167154
| 2.095289
| 77.894048
| 81.404784
|
752
| 3.58646
| 7.361105
| 1.490917
| 78.823805
| 71.034738
|
558
| 4.443161
| 5.610185
| 3.112912
| 76.664141
| 67.082136
|
1,158
| 3.106533
| 5.283098
| 2.08261
| 83.492547
| 91.43866
|
556
| 4.521859
| 4.856588
| 1.095585
| 76.816848
| 89.99239
|
632
| 4.480879
| 6.195419
| 2.586983
| 74.782881
| 73.497605
|
521
| 2.571298
| 6.797906
| 3.069017
| 76.508946
| 86.484412
|
603
| 2.834343
| 8.813425
| 2.705946
| 74.443287
| 82.7921
|
589
| 3.896935
| 5.126121
| 1.950193
| 80.748987
| 84.953357
|
757
| 4.524118
| 11.335988
| 1.808347
| 74.961748
| 89.43613
|
1,380
| 5.140655
| 4.036824
| 1.861603
| 76.861163
| 85.013412
|
710
| 2.290683
| 6.53077
| 2.855587
| 76.449853
| 75.029542
|
1,244
| 4.236204
| 15.711606
| 3.18144
| 78.799186
| 75.097707
|
906
| 3.898434
| 7.295919
| 2.113603
| 87.370751
| 90.313624
|
604
| 5.292656
| 10.988485
| 1.4564
| 84.777872
| 84.538346
|
496
| 2.325607
| 2.679709
| 1.871161
| 75.694329
| 78.923878
|
826
| 3.715461
| 11.30668
| 1.731784
| 77.546953
| 82.096057
|
948
| 5.008724
| 7.620823
| 2.250333
| 79.519331
| 73.950295
|
633
| 4.99797
| 5.827523
| 2.56296
| 76.948409
| 73.27514
|
594
| 3.650876
| 3.246766
| 1.366778
| 76.623788
| 83.849694
|
855
| 4.242377
| 16.198058
| 1.158095
| 78.500516
| 85.4262
|
1,683
| 2.986699
| 6.596885
| 1.947343
| 77.199041
| 72.605844
|
701
| 2.538212
| 7.602349
| 2.77368
| 77.34683
| 86.642983
|
1,060
| 0.310808
| 6.537004
| 1.504135
| 74.827478
| 74.969447
|
727
| 2.621025
| 9.518806
| 2.889201
| 78.010075
| 82.206493
|
495
| 1.820325
| 6.070955
| 1.221021
| 78.249489
| 80.443738
|
823
| 3.873634
| 4.861404
| 2.744469
| 77.245628
| 83.367299
|
777
| 3.874779
| 7.434013
| 2.388319
| 83.481586
| 84.044351
|
1,468
| 2.815471
| 5.701884
| 2.791582
| 82.063526
| 82.61145
|
778
| 2.651913
| 16.946016
| 3.665664
| 75.135771
| 68.249702
|
853
| 1.938875
| 15.150643
| 2.819533
| 76.217566
| 77.071431
|
1,436
| 3.481701
| 10.054304
| 2.654589
| 77.812445
| 79.376655
|
594
| 3.339114
| 5.30206
| 2.254715
| 77.67948
| 78.421579
|
883
| 1.190749
| 4.536156
| 3.36081
| 76.661334
| 70.908686
|
463
| 3.109449
| 7.312216
| 1.436549
| 76.345621
| 77.44584
|
403
| 4.012811
| 8.609491
| 1.427517
| 84.111247
| 73.147049
|
455
| 3.699408
| 0.717386
| 1.409716
| 77.780797
| 82.321307
|
537
| 2.490573
| 3.850438
| 2.279635
| 84.10091
| 81.94767
|
1,315
| 4.249952
| 7.116549
| 3.214132
| 75.83607
| 78.187722
|
580
| 4.721039
| 2.671087
| 2.0272
| 77.962609
| 68.344758
|
428
| 4.817375
| 7.381478
| 3.067389
| 74.598112
| 68.051277
|
652
| 3.294514
| 4.747837
| 1.840367
| 75.169404
| 73.216696
|
1,480
| 3.186473
| 8.622551
| 2.020006
| 77.036818
| 77.269761
|
1,342
| 2.208707
| 5.953657
| 1.644254
| 76.476507
| 93.28803
|
808
| 1.897994
| 4.01273
| 2.255445
| 74.421318
| 70.875362
|
816
| 3.665968
| 6.333247
| 1.805788
| 75.425167
| 80.748074
|
701
| 4.724991
| 4.956874
| 3.010533
| 77.925225
| 78.402405
|
488
| 0.325005
| 8.190476
| 1.503244
| 76.150753
| 77.308195
|
844
| 2.36649
| 6.591311
| 1.726951
| 75.328941
| 76.681337
|
549
| 1.870282
| 6.813985
| 2.254254
| 73.541845
| 73.567809
|
566
| 3.513361
| 7.180617
| 2.113465
| 77.832655
| 71.197034
|
691
| 4.023225
| 1.460063
| 1.92407
| 74.952104
| 79.825513
|
927
| 2.210405
| 4.883065
| 1.54425
| 77.206829
| 86.704436
|
768
| 4.143359
| 6.123134
| 3.160531
| 76.770211
| 75.668186
|
378
| 2.714733
| 9.066225
| 1.408376
| 88.041242
| 84.072589
|
937
| 2.871735
| 7.049813
| 1.437773
| 77.831682
| 86.01488
|
845
| 3.267148
| 12.860714
| 2.847952
| 74.36889
| 66.976588
|
985
| 3.73398
| 6.217013
| 1.565098
| 85.800246
| 84.725522
|
569
| 1.973369
| 7.309184
| 4.738955
| 79.158689
| 85.848807
|
804
| 1.945053
| 6.96565
| 1.376613
| 76.083099
| 77.798293
|
895
| 2.965773
| 2.963021
| 2.57942
| 78.025097
| 91.338478
|
717
| 1.886188
| 6.228442
| 1.83487
| 76.279511
| 84.215192
|
688
| 1.909407
| 5.671502
| 1.135106
| 78.187591
| 71.210084
|
979
| 2.687821
| 6.667786
| 2.381332
| 76.309745
| 84.924999
|
581
| 2.796343
| 12.182567
| 2.968462
| 74.740083
| 88.09517
|
518
| 2.005426
| 7.492081
| 2.94091
| 77.953207
| 70.749355
|
709
| 0.662906
| 12.694415
| 2.543064
| 75.361472
| 74.6047
|
583
| 2.923504
| 4.92118
| 1.49076
| 77.592957
| 73.453402
|
894
| 3.717891
| 6.656079
| 1.703451
| 76.233256
| 74.884571
|
810
| 1.948652
| 7.204751
| 1.307335
| 75.849186
| 84.839054
|
443
| 2.628596
| 6.531509
| 3.187268
| 73.701782
| 89.508966
|
1,062
| 3.773597
| 5.449411
| 2.931592
| 76.849347
| 78.085262
|
761
| 2.984737
| 5.410648
| 1.292547
| 75.113445
| 71.657825
|
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