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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'})

This happened while the csv dataset builder was generating data using

hf://datasets/Shalyn/predictiveMaintanence/engine_data.csv (at revision b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c), [/tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtest.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtrain.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/engine_data.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/engine_data.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytest.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytrain.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytrain.csv)]

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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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 rpm: int64
              Lub oil pressure: double
              Fuel pressure: double
              Coolant pressure: double
              lub oil temp: double
              Coolant temp: double
              Engine Condition: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1152
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Shalyn/predictiveMaintanence/engine_data.csv (at revision b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c), [/tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtest.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtrain.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/engine_data.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/engine_data.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytest.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/28716719792117-config-parquet-and-info-Shalyn-predictiveMaintane-93bf22a6/hub/datasets--Shalyn--predictiveMaintanence/snapshots/b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytrain.csv (origin=hf://datasets/Shalyn/predictiveMaintanence@b35beddbaf878eca4b0ae620bc1f2ae2b2dae23c/ytrain.csv)]
              
              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
682
2.391656
4.617196
2.848982
76.272417
69.884609
605
5.466877
6.424361
5.72752
73.222679
74.907314
658
3.434232
3.680896
1.678708
88.089916
78.704806
749
2.094656
7.120927
1.63967
77.661625
82.3867
676
3.538228
5.956472
3.225336
75.226352
67.15322
589
2.933888
6.358464
2.461478
77.534616
75.403745
885
2.034509
15.49968
1.52279
78.959645
80.817985
576
5.495972
13.114658
1.251058
78.09139
71.934674
535
3.15944
8.676361
1.265139
82.408722
80.752747
806
3.946885
21.138326
1.572569
74.923316
72.112692
1,157
4.515705
4.627773
2.788219
75.297469
82.764025
731
3.383523
6.90539
2.799604
75.237708
78.444128
550
5.336469
9.645622
1.935837
75.266365
74.793934
978
4.366676
6.638085
2.829643
88.038301
78.488782
768
1.741205
6.508534
1.37171
82.978832
83.580243
712
3.270437
6.759981
3.382764
76.799896
76.502848
1,023
2.008806
6.63691
3.409817
86.485544
77.354678
1,312
5.963439
7.563578
5.931953
77.738876
88.661972
881
2.611563
5.870779
1.347794
77.170897
79.376553
1,189
3.776089
6.065286
0.995445
75.938384
71.174258
437
2.693598
11.037605
1.326968
76.752581
77.066773
420
2.240302
4.474089
1.415427
75.973623
71.960686
995
2.518348
4.6591
1.951887
74.183853
71.860524
1,411
3.518329
4.158887
2.044416
78.023885
86.243027
583
2.331887
5.947067
2.178496
83.780901
78.048924
957
2.922171
4.281125
0.263216
74.33229
77.98141
634
3.505142
7.167421
2.440673
78.11833
80.720463
906
3.123475
4.8361
1.96256
86.667679
71.67302
644
4.39858
3.913022
3.354028
77.77836
83.630441
482
2.70487
7.348635
3.410127
76.430289
85.991305
1,129
2.309523
5.902515
1.373239
77.76946
67.055317
478
2.610548
7.001139
2.235325
75.195087
84.214834
581
4.611078
5.814586
1.397271
79.280764
74.727543
604
4.500836
9.2712
1.819653
75.872297
79.835688
974
2.406435
8.351377
2.115063
75.807589
82.398398
1,374
2.543575
8.64102
1.541131
82.268575
66.810303
877
2.98616
6.472393
2.954737
77.820133
73.064765
691
3.114958
8.880786
2.529944
76.420127
84.945772
1,189
2.217924
6.032801
2.921191
77.074033
69.409121
1,026
4.222344
7.791029
5.78875
76.053238
82.986918
957
2.60634
5.244943
1.764043
76.818301
77.979951
630
2.47975
8.718685
2.482158
76.590026
67.474946
606
1.802313
6.326789
1.235789
73.904536
75.979805
1,095
1.780946
6.519417
1.560544
74.020249
91.095461
764
1.901425
7.515205
3.073447
74.761299
91.078753
616
4.576592
8.535923
0.917569
83.023504
70.079149
1,121
3.03146
7.363304
2.499724
81.478454
76.26667
1,103
2.508735
5.632619
2.256141
74.683705
76.897316
924
2.768432
7.054434
1.371187
76.16275
77.877423
814
4.27853
7.47502
3.010202
76.18134
78.06702
1,143
2.251101
5.311892
1.649677
84.249583
81.237604
580
3.200053
4.061579
1.508119
76.363397
78.843828
625
5.618394
6.188778
1.133348
74.161536
76.832068
634
2.870266
5.199727
1.207352
80.342923
78.146704
380
2.394813
7.577546
1.213488
78.512528
78.786311
1,122
3.110329
4.88914
4.594904
74.22113
77.931001
489
2.667227
7.132622
3.112086
75.044276
71.640769
639
3.633029
6.89067
2.161282
82.793689
79.927736
517
2.840869
6.451359
1.974187
77.238311
80.302434
1,239
3.969398
5.327651
2.499354
77.358004
80.28498
698
2.411822
3.999256
2.318413
75.378014
78.85399
792
3.865397
7.120032
2.598757
76.240845
78.07582
764
5.130342
5.196309
3.623317
76.542193
66.756797
708
3.132303
1.853394
1.805396
75.693551
75.143381
686
2.185154
5.748859
1.903213
76.538842
87.432886
1,235
2.367841
7.623086
1.258014
77.291954
78.161184
987
2.665617
4.018006
1.843348
78.636722
78.474567
758
2.750955
1.226343
1.015934
81.76118
81.688022
828
3.244163
2.019875
2.733952
75.57958
69.663483
823
2.305869
5.791692
1.310674
84.160091
76.792174
1,191
5.482785
4.512002
2.948047
76.638268
71.373045
888
2.526086
7.37214
2.652059
76.345778
71.472895
1,198
3.806825
13.73986
3.985981
76.859682
83.61579
1,438
3.128226
3.346491
2.327817
84.176073
75.921392
818
5.397645
6.131988
3.316957
77.214344
69.532226
1,000
3.930661
7.364337
2.284601
75.826978
69.544216
1,399
4.381382
8.970809
1.466342
76.262662
66.499672
886
3.631694
1.99935
2.976567
76.440193
75.463753
749
3.095541
6.136059
1.843784
75.713973
75.408863
694
4.295271
8.738219
3.650847
77.705623
80.322012
785
3.14666
3.498956
1.725812
83.161039
86.87487
1,315
2.849191
10.79315
1.5244
78.068787
72.004893
1,184
2.372619
6.617619
1.496244
77.282101
79.15375
505
3.576976
9.374167
2.048024
76.71482
78.784206
767
3.675062
6.603299
2.240416
77.226557
71.871107
446
3.307253
5.314083
1.852103
82.32471
66.734088
647
2.603949
4.936318
3.187993
74.9343
72.345244
1,029
2.528493
8.954362
2.716114
75.952884
76.623336
534
2.087386
6.621158
2.390513
81.464264
80.3203
987
4.490324
4.157264
1.134337
76.633682
82.251079
874
3.407218
13.944291
1.466438
77.807724
82.570965
523
1.511866
6.046909
1.235807
77.241074
77.838064
562
4.150302
4.801896
2.140263
76.168602
72.330274
1,041
4.211048
5.424243
1.414678
77.093633
80.054223
782
4.040201
8.2209
2.007361
77.775313
80.840067
445
2.68724
5.760546
1.600305
78.336973
79.023435
936
3.364814
6.182248
4.417288
75.491516
82.580053
650
2.997577
5.764933
2.490282
75.143217
72.345957
617
2.99071
6.549015
6.197552
76.404974
84.033187
1,347
2.414643
4.876242
1.457513
75.263159
81.567636
End of preview.