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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 ({'Coolant_Pressure', 'Fuel_Pressure', 'Engine_RPM', 'Lub_Oil_Pressure', 'Lub_Oil_Temperature', 'Coolant_Temperature'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spac1ngcat/cs-pred-maintain-ds/processed/y_train.csv (at revision a094e52d6b03a3a6f10f3b47684340c94ab0cb9a)
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_Temperature': Value('float64'), 'Coolant_Temperature': 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 ({'Coolant_Pressure', 'Fuel_Pressure', 'Engine_RPM', 'Lub_Oil_Pressure', 'Lub_Oil_Temperature', 'Coolant_Temperature'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spac1ngcat/cs-pred-maintain-ds/processed/y_train.csv (at revision a094e52d6b03a3a6f10f3b47684340c94ab0cb9a)
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_Temperature
float64 | Coolant_Temperature
float64 |
|---|---|---|---|---|---|
774
| 2.431403
| 4.415033
| 2.772102
| 83.808725
| 85.327622
|
437
| 4.105411
| 7.999949
| 1.191933
| 74.557203
| 75.700696
|
574
| 1.850124
| 5.981534
| 2.866207
| 74.674846
| 83.211338
|
594
| 3.84421
| 5.017002
| 1.519279
| 74.661615
| 87.805541
|
843
| 4.215024
| 7.051008
| 1.551039
| 76.061172
| 79.495152
|
696
| 2.129059
| 4.909903
| 1.540422
| 76.154712
| 84.964857
|
517
| 4.528669
| 5.230017
| 1.499712
| 77.718029
| 68.518499
|
457
| 4.1633
| 5.228002
| 1.935741
| 77.700995
| 71.254602
|
425
| 5.518577
| 7.410779
| 2.74806
| 75.711811
| 67.547163
|
617
| 2.260673
| 7.883905
| 1.668754
| 85.697966
| 73.496336
|
1,062
| 3.773597
| 5.449411
| 2.931592
| 76.849347
| 78.085262
|
957
| 4.6476
| 5.786338
| 1.381004
| 77.240734
| 69.737397
|
547
| 2.57031
| 5.008349
| 2.177492
| 81.943311
| 73.895349
|
1,121
| 3.823508
| 6.003388
| 3.12043
| 77.006104
| 73.477714
|
575
| 3.553624
| 6.714695
| 3.410633
| 77.466859
| 81.75444
|
945
| 3.359872
| 6.136984
| 1.930852
| 75.189049
| 75.229285
|
958
| 4.983135
| 7.697941
| 3.819935
| 75.992781
| 82.411176
|
515
| 2.217124
| 3.937785
| 2.662859
| 85.78132
| 81.159139
|
521
| 3.298007
| 6.014803
| 1.865336
| 75.345687
| 76.560665
|
970
| 4.603667
| 6.255057
| 2.459944
| 76.474395
| 79.329053
|
781
| 5.232078
| 7.463928
| 1.565229
| 76.938489
| 85.573794
|
936
| 3.364814
| 6.182248
| 4.417288
| 75.491516
| 82.580053
|
525
| 2.172241
| 7.166855
| 2.731882
| 75.922987
| 90.870701
|
879
| 4.530388
| 4.717392
| 0.763296
| 76.812211
| 81.19781
|
1,138
| 2.88886
| 12.926534
| 1.904225
| 77.246287
| 79.41898
|
728
| 2.085242
| 7.460108
| 3.621526
| 81.442877
| 67.664799
|
1,305
| 2.821387
| 6.790782
| 1.085222
| 78.208589
| 78.852945
|
525
| 4.571709
| 8.3924
| 1.507326
| 78.138506
| 78.712955
|
1,127
| 5.072683
| 6.813174
| 0.934779
| 83.061276
| 72.130182
|
534
| 4.85061
| 8.052546
| 1.601042
| 75.747494
| 77.470291
|
622
| 2.473583
| 5.511924
| 1.689233
| 76.376989
| 69.270361
|
537
| 3.836001
| 5.423528
| 2.135997
| 74.819881
| 72.609158
|
590
| 2.938977
| 4.903834
| 1.382703
| 81.628817
| 87.968572
|
603
| 4.103445
| 4.816153
| 2.675636
| 83.992204
| 88.370231
|
432
| 2.343959
| 10.064375
| 2.122863
| 79.391114
| 79.570907
|
453
| 2.587314
| 10.342068
| 3.146921
| 77.346051
| 85.148984
|
930
| 3.178996
| 3.897455
| 2.411755
| 75.874428
| 80.956342
|
538
| 2.394591
| 7.695385
| 2.038831
| 75.663292
| 76.594262
|
424
| 2.612656
| 6.025298
| 2.575465
| 76.983324
| 70.605976
|
1,245
| 4.016101
| 9.099826
| 1.929348
| 75.62318
| 75.541486
|
457
| 3.560819
| 6.459347
| 2.291434
| 74.66553
| 88.888186
|
649
| 4.440848
| 14.881286
| 1.553337
| 74.793806
| 70.07719
|
823
| 2.861595
| 10.338044
| 2.326564
| 76.75463
| 78.382811
|
750
| 2.495852
| 2.854472
| 1.294612
| 76.243732
| 78.268798
|
552
| 3.642421
| 7.614003
| 1.62583
| 76.472281
| 80.387335
|
1,094
| 0.55523
| 6.286631
| 5.838286
| 75.171391
| 75.732364
|
498
| 1.889265
| 12.086345
| 3.245452
| 75.483273
| 91.180562
|
838
| 4.443468
| 6.18931
| 1.730793
| 86.375944
| 86.314343
|
1,266
| 4.013943
| 11.87845
| 1.610832
| 76.781066
| 76.866004
|
815
| 3.422209
| 7.176713
| 2.43191
| 76.959839
| 75.123418
|
878
| 4.016754
| 6.357183
| 5.665076
| 75.802144
| 72.980594
|
671
| 2.218751
| 4.208758
| 4.461875
| 84.61242
| 80.513548
|
850
| 3.74195
| 5.130775
| 1.079256
| 80.500362
| 73.897838
|
435
| 2.771795
| 8.088242
| 2.872364
| 77.004906
| 85.616714
|
842
| 2.933118
| 6.837385
| 1.331724
| 76.538918
| 67.831675
|
554
| 4.275606
| 5.459291
| 1.319508
| 80.682703
| 81.227324
|
921
| 3.135051
| 5.230342
| 2.900423
| 75.950961
| 86.698774
|
543
| 4.490403
| 6.134859
| 2.767621
| 77.598157
| 85.596001
|
825
| 3.945245
| 7.74952
| 2.483063
| 85.437855
| 74.030968
|
748
| 5.835675
| 2.185116
| 2.481492
| 76.904222
| 82.567707
|
455
| 5.236366
| 8.199034
| 3.289016
| 75.555559
| 92.484712
|
1,028
| 4.294797
| 8.984204
| 2.429853
| 75.693921
| 78.53467
|
672
| 3.910786
| 3.36531
| 2.734905
| 78.01341
| 82.050374
|
831
| 3.996668
| 6.209742
| 2.331628
| 75.10232
| 68.886919
|
719
| 3.294853
| 8.236059
| 1.477249
| 77.902203
| 71.674826
|
1,251
| 2.648395
| 6.680012
| 1.322661
| 74.344177
| 70.097824
|
642
| 3.069803
| 5.318273
| 1.944214
| 77.770832
| 83.138754
|
630
| 2.646407
| 9.484594
| 0.994632
| 78.52042
| 84.068084
|
712
| 3.56042
| 6.046207
| 2.531478
| 74.364175
| 73.511301
|
930
| 2.877134
| 8.359251
| 4.442517
| 84.692678
| 71.76105
|
780
| 2.684926
| 1.896518
| 2.679223
| 75.17492
| 78.604925
|
1,017
| 2.806894
| 4.171261
| 2.413649
| 77.917688
| 87.424757
|
1,280
| 3.08263
| 8.02881
| 1.352983
| 78.707972
| 81.888246
|
894
| 5.039303
| 4.381845
| 2.742446
| 74.838277
| 76.81841
|
940
| 3.052892
| 4.581922
| 2.428639
| 74.613327
| 79.156676
|
918
| 2.981941
| 11.245539
| 2.724376
| 76.193842
| 92.014862
|
700
| 2.691592
| 13.97572
| 2.441019
| 77.658685
| 79.613134
|
398
| 4.027409
| 10.782834
| 3.452318
| 84.129531
| 76.585463
|
532
| 4.799351
| 8.365104
| 2.447521
| 76.01707
| 69.575538
|
433
| 2.93944
| 9.806853
| 2.211752
| 75.462699
| 71.19539
|
1,204
| 3.401066
| 6.446009
| 2.684397
| 75.124877
| 74.840314
|
1,036
| 5.575966
| 4.540205
| 0.433955
| 78.508704
| 82.055699
|
1,314
| 2.821013
| 4.854731
| 1.61106
| 76.549576
| 78.573389
|
553
| 2.971412
| 2.595394
| 1.719789
| 76.816028
| 78.369835
|
1,046
| 2.299535
| 5.860466
| 2.041204
| 76.687789
| 76.233353
|
633
| 3.270641
| 5.198359
| 1.570229
| 81.870246
| 88.19792
|
887
| 0.522123
| 7.794847
| 3.457653
| 77.095296
| 83.344287
|
1,221
| 3.358881
| 7.386152
| 1.733297
| 77.890635
| 68.157528
|
739
| 4.531784
| 6.711863
| 1.153552
| 74.962331
| 65.551755
|
685
| 2.135644
| 6.553195
| 2.871375
| 74.424618
| 77.517881
|
681
| 3.563244
| 3.082272
| 1.643047
| 81.967008
| 82.618019
|
489
| 2.391037
| 8.914555
| 2.039664
| 81.02691
| 75.790341
|
701
| 2.894352
| 5.755448
| 0.751676
| 79.827688
| 82.131702
|
1,019
| 3.990966
| 2.288702
| 2.610204
| 77.389226
| 85.330727
|
1,384
| 2.181792
| 3.698334
| 2.207523
| 75.776034
| 89.072566
|
663
| 3.759915
| 3.330879
| 1.026883
| 77.372457
| 86.668142
|
975
| 3.151469
| 12.127887
| 1.241194
| 84.452053
| 84.147246
|
584
| 2.733812
| 18.168402
| 2.968318
| 74.91733
| 76.383151
|
529
| 3.697769
| 6.329355
| 3.52642
| 76.14835
| 74.772981
|
606
| 2.127442
| 7.11174
| 1.915011
| 74.394679
| 90.892712
|
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