The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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', 'lub oil temp', 'Lub oil pressure', 'Engine rpm', 'Coolant temp', 'Fuel pressure'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sudha1726/predictive-maintainanace/y_train.csv (at revision 41f46cfd6966f9c2b86fcaaed2dedd914a250587)
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 1455, 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 1054, 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', 'lub oil temp', 'Lub oil pressure', 'Engine rpm', 'Coolant temp', 'Fuel pressure'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sudha1726/predictive-maintainanace/y_train.csv (at revision 41f46cfd6966f9c2b86fcaaed2dedd914a250587)
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 |
|---|---|---|---|---|---|
493
| 3.962344
| 6.331438
| 1.552196
| 74.842183
| 83.683952
|
525
| 3.96838
| 5.55898
| 1.551743
| 76.86155
| 84.501699
|
1,024
| 2.965898
| 5.425383
| 2.703365
| 75.55213
| 84.191483
|
667
| 2.5034
| 6.063999
| 1.846347
| 74.967748
| 92.878094
|
786
| 2.718334
| 7.62641
| 2.936233
| 77.23312
| 69.413782
|
554
| 4.13539
| 4.492539
| 1.709781
| 81.371618
| 72.442962
|
452
| 3.444236
| 5.624988
| 2.314415
| 74.08515
| 78.498373
|
733
| 1.910396
| 5.468187
| 2.262233
| 78.098826
| 85.189804
|
902
| 2.405149
| 5.656221
| 1.518731
| 76.989336
| 78.316051
|
653
| 2.475161
| 6.625957
| 2.479978
| 76.734286
| 82.029732
|
1,064
| 5.890638
| 3.596829
| 3.646584
| 78.551553
| 74.595603
|
627
| 3.195913
| 8.27961
| 2.452966
| 75.604219
| 77.604118
|
972
| 3.124232
| 6.554847
| 1.894652
| 80.572759
| 76.736655
|
586
| 3.201429
| 6.238381
| 2.001394
| 75.470123
| 83.80766
|
724
| 2.533632
| 2.091088
| 1.567528
| 77.337607
| 77.384204
|
557
| 2.776649
| 4.354502
| 1.696256
| 78.291703
| 93.369105
|
476
| 2.649686
| 4.161549
| 1.703113
| 78.773388
| 75.599068
|
799
| 3.523895
| 9.54977
| 1.500989
| 75.616042
| 75.922404
|
567
| 4.941227
| 6.879213
| 1.680248
| 75.80527
| 71.482574
|
426
| 4.075708
| 3.017942
| 0.869609
| 74.223857
| 72.51437
|
625
| 1.895039
| 7.779939
| 2.220259
| 76.738191
| 84.123107
|
1,282
| 2.361006
| 9.796271
| 2.154175
| 76.151516
| 85.371106
|
503
| 4.31111
| 5.25437
| 2.327144
| 76.990353
| 79.438234
|
725
| 3.877439
| 5.780917
| 1.862608
| 77.244127
| 91.933004
|
387
| 4.610814
| 7.81212
| 1.243252
| 74.921241
| 74.986672
|
757
| 5.542156
| 7.530199
| 2.924863
| 77.076799
| 77.197164
|
447
| 2.973532
| 5.506936
| 3.03644
| 75.440778
| 80.237137
|
1,077
| 5.251764
| 9.501512
| 3.548356
| 77.168801
| 83.397346
|
1,046
| 2.299535
| 5.860466
| 2.041204
| 76.687789
| 76.233353
|
706
| 3.621096
| 6.412525
| 1.778912
| 76.301357
| 76.943549
|
765
| 3.668062
| 11.881688
| 1.998997
| 75.488175
| 76.669005
|
655
| 3.049225
| 8.558617
| 2.135557
| 74.355159
| 79.545372
|
953
| 3.782185
| 9.728329
| 2.883632
| 75.485327
| 78.793678
|
868
| 3.617018
| 6.6987
| 0.998094
| 78.230045
| 74.70599
|
952
| 4.848723
| 9.970973
| 1.269681
| 75.162439
| 71.103928
|
813
| 2.776082
| 6.992621
| 1.834924
| 77.987906
| 79.860005
|
918
| 2.729961
| 5.481438
| 2.350554
| 75.981169
| 78.129019
|
658
| 3.686021
| 6.034731
| 2.220792
| 75.808248
| 72.471546
|
873
| 2.578445
| 6.660782
| 2.403702
| 76.670656
| 86.479299
|
1,113
| 2.58823
| 8.252509
| 2.978393
| 78.472517
| 86.36104
|
767
| 4.52045
| 4.59382
| 2.720206
| 78.358162
| 81.526177
|
755
| 2.854142
| 7.044979
| 1.041464
| 75.786777
| 73.031879
|
1,059
| 3.427111
| 7.15235
| 1.716316
| 75.647299
| 80.853617
|
876
| 4.212847
| 6.616102
| 1.767898
| 76.09046
| 79.820441
|
902
| 4.31507
| 9.896735
| 2.120898
| 76.263232
| 80.062084
|
979
| 2.815908
| 3.574738
| 0.903005
| 75.811307
| 83.480193
|
958
| 4.006515
| 7.951343
| 3.16831
| 78.424014
| 89.089093
|
894
| 2.577116
| 7.534326
| 2.154862
| 78.703941
| 82.958127
|
686
| 2.281505
| 4.581041
| 2.43873
| 74.081288
| 69.072213
|
443
| 2.513208
| 10.573309
| 2.979241
| 77.189589
| 73.451002
|
895
| 3.743431
| 4.018061
| 2.700538
| 76.395981
| 86.87131
|
651
| 4.051047
| 6.534119
| 1.440997
| 76.693779
| 83.677409
|
598
| 1.166303
| 8.209485
| 2.452161
| 77.886492
| 72.897615
|
804
| 1.922464
| 3.879554
| 1.753843
| 76.863065
| 80.887817
|
1,232
| 2.019945
| 6.066875
| 2.794574
| 76.121508
| 86.518034
|
794
| 5.05797
| 6.783486
| 2.21297
| 76.136397
| 72.946943
|
1,283
| 3.177311
| 3.229891
| 1.584506
| 75.357501
| 84.393269
|
621
| 2.595899
| 4.663912
| 2.138634
| 77.181966
| 65.75667
|
700
| 2.197572
| 6.46798
| 1.756679
| 77.02632
| 83.060763
|
613
| 1.892259
| 7.012302
| 1.8878
| 75.156389
| 84.515544
|
765
| 2.904932
| 6.633208
| 2.980183
| 80.6567
| 74.46389
|
527
| 2.59868
| 6.134264
| 1.183945
| 74.984147
| 76.767467
|
799
| 4.164921
| 6.042047
| 2.763638
| 77.169075
| 71.390347
|
555
| 2.391767
| 5.999558
| 1.755179
| 77.678166
| 74.842799
|
796
| 1.958934
| 9.064292
| 0.990015
| 76.7205
| 72.806651
|
585
| 5.182254
| 4.231804
| 2.471571
| 75.286071
| 84.135194
|
406
| 2.936677
| 6.800314
| 2.553607
| 77.583227
| 84.24391
|
631
| 3.180473
| 4.588038
| 2.058372
| 74.685507
| 75.28811
|
960
| 2.503391
| 9.117413
| 2.455641
| 77.376284
| 70.609083
|
695
| 2.876399
| 3.799518
| 1.143531
| 75.84012
| 82.132611
|
612
| 4.442201
| 9.970848
| 2.403873
| 78.40273
| 74.523761
|
436
| 3.897132
| 6.914879
| 3.365968
| 76.391635
| 88.815248
|
1,032
| 3.893372
| 5.321953
| 2.281724
| 74.677099
| 83.668217
|
633
| 3.271553
| 4.541113
| 2.378214
| 77.596503
| 68.345581
|
696
| 5.005687
| 5.304703
| 1.141288
| 74.492698
| 80.861036
|
728
| 3.506826
| 6.205877
| 1.432782
| 75.858182
| 77.318968
|
512
| 1.860994
| 6.326147
| 1.128839
| 76.624816
| 74.157281
|
989
| 2.335419
| 1.455418
| 3.091981
| 73.601978
| 69.178671
|
677
| 3.169062
| 4.871895
| 2.572828
| 77.761661
| 88.296283
|
639
| 2.627508
| 4.99165
| 1.810122
| 75.630389
| 82.880166
|
597
| 2.139896
| 4.53844
| 2.375392
| 72.851064
| 81.837688
|
692
| 3.62863
| 5.532653
| 1.644915
| 73.472109
| 74.684839
|
681
| 4.210147
| 7.116
| 2.587141
| 78.444075
| 78.278373
|
1,152
| 3.952011
| 4.955447
| 1.906075
| 76.271928
| 73.479152
|
901
| 5.10985
| 5.744217
| 3.179771
| 78.026904
| 73.782058
|
653
| 3.311074
| 6.214654
| 2.805208
| 74.697678
| 74.945373
|
638
| 2.615483
| 5.068612
| 1.236516
| 76.025738
| 73.068794
|
539
| 3.333235
| 8.204547
| 2.231954
| 77.460499
| 86.441718
|
638
| 5.078508
| 5.132751
| 2.227829
| 78.191478
| 74.504117
|
485
| 4.847598
| 8.725143
| 1.439916
| 76.75493
| 79.182832
|
782
| 2.725019
| 6.397499
| 3.064009
| 75.900124
| 71.097198
|
525
| 3.457539
| 11.007026
| 1.673039
| 75.503928
| 68.388645
|
506
| 3.835086
| 4.604191
| 3.525126
| 74.712207
| 76.614601
|
834
| 2.582245
| 8.559726
| 1.665253
| 75.020363
| 73.86292
|
1,345
| 4.964371
| 7.929235
| 1.116681
| 77.675048
| 77.836895
|
812
| 2.838577
| 9.361612
| 1.36401
| 75.622287
| 74.239421
|
731
| 4.926004
| 8.3518
| 2.251393
| 77.653847
| 91.545453
|
837
| 4.484271
| 9.154752
| 1.540788
| 76.860383
| 86.740988
|
1,161
| 2.350326
| 8.389375
| 1.820227
| 77.581365
| 86.847544
|
929
| 4.107049
| 7.928831
| 1.506508
| 77.490943
| 84.329449
|
End of preview.