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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)

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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
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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
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1,017
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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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