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 pressure', 'Coolant temp', 'Engine rpm', 'Fuel pressure', 'lub oil temp'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Debashre2824/predictive-maintenance-engine/y_train.csv (at revision d0451047c70d78e13c5ba240e9fd5cb4c75c030d)

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 ({'Coolant pressure', 'Lub oil pressure', 'Coolant temp', 'Engine rpm', 'Fuel pressure', 'lub oil temp'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Debashre2824/predictive-maintenance-engine/y_train.csv (at revision d0451047c70d78e13c5ba240e9fd5cb4c75c030d)
              
              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
496
4.70624
5.249898
3.803385
75.033607
70.542095
836
3.960027
4.928546
3.705357
74.395016
84.098307
623
3.055244
9.494612
2.084725
76.865701
72.927688
675
2.785797
5.463947
1.649817
75.397279
82.907453
1,412
2.816022
4.00141
1.921522
83.246013
71.176927
414
3.928896
4.468993
1.740373
74.461489
80.171776
1,041
2.618464
6.031472
3.444127
75.87409
74.213489
975
5.964635
4.00145
2.460979
80.727668
80.231235
1,158
2.653552
4.956097
1.126615
76.703935
82.821523
1,357
4.045931
7.2471
1.827783
78.382214
87.120363
767
3.675062
6.603299
2.240416
77.226557
71.871107
1,179
3.308127
6.162965
0.736781
75.678397
71.430854
956
3.720926
5.050159
4.541596
78.294517
75.350544
1,057
2.23783
5.631612
2.505175
74.529496
76.760059
854
5.325312
3.992183
5.119024
81.89433
82.209094
855
3.087465
5.170975
2.49316
86.235597
81.372706
1,096
2.480399
5.149975
0.635378
84.090834
78.015959
434
4.442973
7.090542
1.524269
75.620907
83.188313
822
3.310684
5.627634
2.058694
77.853008
78.117307
569
3.736063
5.729134
1.870194
76.742341
79.451863
952
2.40655
7.418635
1.44315
75.180661
78.452812
973
2.349488
5.715477
3.340146
78.821659
77.506734
554
3.396276
10.290297
1.999733
76.546559
83.106267
811
4.851543
3.622094
0.758107
76.042221
82.374601
540
3.081387
4.375281
0.982797
76.415207
79.320499
778
3.538907
5.208443
1.734624
73.849828
73.385308
563
2.217112
6.034855
2.623956
78.603892
77.731044
1,033
2.036132
4.932128
2.235217
75.931896
69.710272
804
4.57266
5.992453
1.535159
77.051917
79.80514
369
2.746007
6.989355
1.830474
77.18143
75.697478
798
5.789154
6.727879
1.819378
77.601968
79.906577
437
3.900054
6.734776
2.790181
78.008376
78.002771
1,221
4.42086
5.888119
5.204647
76.787069
90.006726
946
2.33791
5.878699
6.107326
78.055623
81.372531
654
2.126811
6.048617
2.932469
75.452488
85.561782
800
3.40304
5.070474
2.423549
75.857648
75.29601
1,388
2.991451
4.277201
1.463619
77.886941
82.120037
576
4.796219
8.31517
3.235007
83.490921
90.11711
1,307
3.771457
2.955204
1.844966
77.864105
81.623514
663
4.798853
7.292509
2.363309
75.429563
70.386828
582
1.305755
5.211494
2.633097
75.93492
75.580952
1,145
4.436745
5.686701
2.965899
74.062249
71.002669
673
1.826226
8.79934
1.239882
76.365291
83.423228
469
2.244983
7.020501
0.246693
76.915875
86.219173
739
2.464748
8.192446
2.752652
74.697141
87.950844
1,240
4.557669
4.769486
1.481279
77.441172
75.294501
529
2.591552
7.383817
2.334104
76.628042
76.083761
835
3.516408
3.704002
1.359745
89.275897
73.337822
848
2.474463
5.649183
3.259924
76.354736
77.660874
754
2.931881
5.210595
1.070077
78.219563
81.21399
510
4.64128
3.945978
1.855171
78.017094
74.074583
450
0.699888
4.111952
0.949993
74.86905
72.889809
658
3.201742
6.108218
1.567632
75.665033
69.755396
529
3.215984
5.469481
2.196793
78.294028
75.39119
1,799
2.776676
7.228798
1.834901
87.578571
78.951378
84
3.830491
4.907142
1.061624
75.626682
77.407978
798
1.988798
2.982692
1.362544
77.303689
76.034316
1,083
4.86708
4.984865
2.4964
81.90805
81.064302
633
2.211679
7.715703
2.24428
76.325323
81.733805
918
2.981941
11.245539
2.724376
76.193842
92.014862
668
2.54182
5.14548
3.114428
75.49389
70.381397
488
0.325005
8.190476
1.503244
76.150753
77.308195
813
4.485257
8.605066
1.668094
76.21798
77.237554
413
3.492244
6.194312
1.769396
82.126134
78.464299
1,185
3.76483
10.673992
2.249566
78.487524
75.174314
1,057
2.054571
6.884652
1.598794
76.617464
87.627446
643
2.625858
8.451585
2.90954
83.808091
68.859504
659
4.495829
5.978984
5.866578
76.959741
83.497599
429
3.378734
3.557734
2.692528
77.956845
93.980689
1,087
4.294721
3.272855
2.08666
85.178231
75.427291
671
4.183711
7.136869
2.776894
77.187541
79.178336
743
2.983045
11.830769
1.705551
76.268239
85.180514
744
2.740729
4.944986
1.294337
77.417051
90.163324
809
4.050245
7.785442
2.343225
77.791209
75.283887
902
4.200947
14.528383
2.169704
76.169902
78.116536
555
2.756869
2.941945
2.084822
78.193826
83.436028
706
3.322614
6.614217
2.1754
75.46537
69.857252
634
4.144614
8.87925
1.95402
74.04727
80.937101
665
3.020798
7.931052
2.793915
76.949302
76.395635
913
2.577537
5.168561
2.085453
83.063455
86.055655
1,212
1.723152
5.266437
4.289763
80.382307
82.462033
1,300
2.21935
8.433284
1.580678
80.84323
74.473407
621
3.251042
5.331136
2.615028
78.185455
71.337673
808
3.077382
3.582213
5.852737
83.184829
74.732234
1,258
3.265263
11.247399
1.487561
76.842186
71.705021
1,267
4.119743
8.259543
2.09562
74.636635
76.781918
868
2.525346
4.285353
1.596997
76.14099
82.910354
1,024
2.194611
4.866378
0.512182
77.774181
83.93496
1,036
2.161426
6.125224
2.157851
75.996252
77.318644
656
4.151634
6.293229
3.177781
75.572258
68.317647
823
2.377631
2.604273
1.97795
73.113172
76.898773
524
1.441212
6.81795
1.786358
77.267706
73.978998
699
2.106315
2.486776
1.0972
86.787515
90.570099
981
3.235836
7.454698
4.277397
73.299392
80.962784
833
3.758835
6.281994
1.660214
76.560451
70.938112
919
2.726379
14.715238
2.298589
75.610175
87.730004
801
3.707931
8.233514
2.483217
75.775911
81.361103
696
4.103563
6.618358
1.740116
77.589843
67.575875
1,266
5.377554
5.537528
1.029143
77.857636
85.885943
1,409
2.781202
7.002047
2.945533
84.636721
81.159766
End of preview.