Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value -0.741176 was truncated converting to int64
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 674, 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 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value -0.741176 was truncated converting to int64
              
              The above exception was the direct cause of the following exception:
              
              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 1919, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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
RPM_FuelPressure_Ratio
float64
Power_Index
float64
Thermal_Pressure_Index
float64
Mech_Cooling_Balance
float64
Pressure_Coordination
float64
Low_Oil_Pressure_Flag
int64
High_Coolant_Temp_Flag
int64
Low_RPM_Flag
int64
Engine Condition
int64
496
4.70624
5.249898
3.803385
75.033607
70.542095
94.477841
2.60395
13.436824
426.36076
1.446513
0
0
1
0
836
3.960027
4.928546
3.705357
74.395016
84.098307
169.623711
4.120265
17.063477
752.156362
1.223189
0
0
0
1
623
3.055244
9.494612
2.084725
76.865701
72.927688
65.616096
5.915143
7.680947
551.042831
7.409886
0
0
0
0
675
2.785797
5.463947
1.649817
75.397279
82.907453
123.536852
3.688164
15.17352
593.228527
3.814129
0
0
0
1
1,412
2.816022
4.00141
1.921522
83.246013
71.176927
352.874737
5.649991
17.787917
1,341.717573
2.079888
0
0
0
1
414
3.928896
4.468993
1.740373
74.461489
80.171776
92.63812
1.850163
17.939523
336.016747
2.72862
0
0
1
1
1,041
2.618464
6.031472
3.444127
75.87409
74.213489
172.594401
6.278762
12.304354
965.960848
2.587345
0
0
0
1
975
5.964635
4.00145
2.460979
80.727668
80.231235
243.66105
3.901414
20.050489
898.272421
1.540471
0
0
0
0
1,158
2.653552
4.956097
1.126615
76.703935
82.821523
233.651108
5.739161
16.711002
1,076.705414
3.829483
0
0
0
0
1,357
4.045931
7.2471
1.827783
78.382214
87.120363
187.247057
9.834315
12.021394
1,272.097784
5.419317
0
0
0
1
767
3.675062
6.603299
2.240416
77.226557
71.871107
116.15389
5.06473
10.884105
696.56354
4.362883
0
0
0
0
1,179
3.308127
6.162965
0.736781
75.678397
71.430854
191.303704
7.266136
11.59032
1,110.140491
5.426184
0
0
0
0
956
3.720926
5.050159
4.541596
78.294517
75.350544
189.300614
4.827952
14.920402
879.828786
0.508563
0
0
0
1
1,057
2.23783
5.631612
2.505175
74.529496
76.760059
187.69017
5.952613
13.630188
979.972597
3.126437
0
0
0
0
854
5.325312
3.992183
5.119024
81.89433
82.209094
213.917487
3.409325
20.592462
771.997193
-1.126841
0
0
0
0
855
3.087465
5.170975
2.49316
86.235597
81.372706
165.34566
4.421184
15.736402
774.221599
2.677815
0
0
0
0
1,096
2.480399
5.149975
0.635378
84.090834
78.015959
212.816137
5.644373
15.148773
1,019.829061
4.514597
0
0
0
1
434
4.442973
7.090542
1.524269
75.620907
83.188313
61.208208
3.077295
11.732276
353.730391
5.566273
0
0
1
1
822
3.310684
5.627634
2.058694
77.853008
78.117307
146.064664
4.625916
13.880995
745.134683
3.56894
0
0
0
1
569
3.736063
5.729134
1.870194
76.742341
79.451863
99.31675
3.259877
13.868015
491.414006
3.858941
0
0
1
1
952
2.40655
7.418635
1.44315
75.180661
78.452812
128.325323
7.06254
10.575087
874.510588
5.975485
0
0
0
1
973
2.349488
5.715477
3.340146
78.821659
77.506734
170.239208
5.561159
13.560827
894.502608
2.375331
0
0
0
1
554
3.396276
10.290297
1.999733
76.546559
83.106267
53.837074
5.700824
8.07617
472.290277
8.290564
0
0
1
1
811
4.851543
3.622094
0.758107
76.042221
82.374601
223.903032
2.937518
22.742199
732.718835
2.863987
0
0
0
1
540
3.081387
4.375281
0.982797
76.415207
79.320499
123.420358
2.362652
18.129193
462.778091
3.392484
0
0
1
1
778
3.538907
5.208443
1.734624
73.849828
73.385308
149.372555
4.052169
14.089654
706.418976
3.47382
0
0
0
1
563
2.217112
6.034855
2.623956
78.603892
77.731044
93.291241
3.397623
12.88033
484.862112
3.410898
0
0
1
1
1,033
2.036132
4.932128
2.235217
75.931896
69.710272
209.442645
5.094888
14.133885
963.090644
2.696911
0
0
0
1
804
4.57266
5.992453
1.535159
77.051917
79.80514
134.168531
4.817932
13.317585
727.232361
4.457294
0
0
0
1
369
2.746007
6.989355
1.830474
77.18143
75.697478
52.794494
2.579072
10.830379
294.218055
5.158881
0
0
1
1
798
5.789154
6.727879
1.819378
77.601968
79.906577
118.610753
5.368848
11.876916
722.063199
4.908501
0
0
0
1
437
3.900054
6.734776
2.790181
78.008376
78.002771
64.88699
2.943097
11.582071
360.107102
3.944595
0
0
1
0
1,221
4.42086
5.888119
5.204647
76.787069
90.006726
207.366384
7.189393
15.286134
1,130.209488
0.683472
0
0
0
1
946
2.33791
5.878699
6.107326
78.055623
81.372531
160.919678
5.561249
13.841904
860.858053
-0.228627
0
0
0
0
654
2.126811
6.048617
2.932469
75.452488
85.561782
108.123715
3.955795
14.145654
567.63256
3.116148
0
0
0
0
800
3.40304
5.070474
2.423549
75.857648
75.29601
157.775853
4.05638
14.849865
725.68348
2.646925
0
0
0
1
1,388
2.991451
4.277201
1.463619
77.886941
82.120037
324.510493
5.936756
19.199434
1,307.407795
2.813583
0
0
0
1
576
4.796219
8.31517
3.235007
83.490921
90.11711
69.2709
4.789538
10.837662
487.444102
5.080163
0
0
1
1
1,307
3.771457
2.955204
1.844966
77.864105
81.623514
442.269215
3.862451
27.620174
1,227.302977
1.110238
0
0
0
0
663
4.798853
7.292509
2.363309
75.429563
70.386828
90.915091
4.834933
9.651923
595.048715
4.9292
0
0
0
1
582
1.305755
5.211494
2.633097
75.93492
75.580952
111.676015
3.03309
14.502714
505.091706
2.578397
1
0
1
1
1,145
4.436745
5.686701
2.965899
74.062249
71.002669
201.3466
6.511273
12.485717
1,075.468177
2.720802
0
0
0
0
673
1.826226
8.79934
1.239882
76.365291
83.423228
76.482921
5.921956
9.480612
590.163116
7.559458
0
0
0
0
469
2.244983
7.020501
0.246693
76.915875
86.219173
66.804255
3.292615
12.28104
384.779118
6.773808
0
0
1
1
739
2.464748
8.192446
2.752652
74.697141
87.950844
90.204941
6.054218
10.73559
650.761252
5.439794
0
0
0
0
1,240
4.557669
4.769486
1.481279
77.441172
75.294501
259.985565
5.914162
15.78668
1,167.78189
3.288207
0
0
0
1
529
2.591552
7.383817
2.334104
76.628042
76.083761
71.643066
3.906039
10.304109
453.173686
5.049712
0
0
1
1
835
3.516408
3.704002
1.359745
89.275897
73.337822
225.431213
3.092842
19.799562
763.81884
2.344257
0
0
0
1
848
2.474463
5.649183
3.259924
76.354736
77.660874
150.109943
4.790507
13.747252
769.553664
2.389258
0
0
0
0
754
2.931881
5.210595
1.070077
78.219563
81.21399
144.704889
3.928789
15.586288
674.647814
4.140518
0
0
0
1
510
4.64128
3.945978
1.855171
78.017094
74.074583
129.245188
2.012449
18.772124
438.711527
2.090807
0
0
1
0
450
0.699888
4.111952
0.949993
74.86905
72.889809
109.436821
1.850378
17.726287
376.860086
3.161959
1
0
1
1
658
3.201742
6.108218
1.567632
75.665033
69.755396
107.723543
4.019208
11.419906
589.878714
4.540587
0
0
0
1
529
3.215984
5.469481
2.196793
78.294028
75.39119
96.718322
2.893355
13.78395
454.628001
3.272688
0
0
1
1
1,799
2.776676
7.228798
1.834901
87.578571
78.951378
248.865388
13.004607
10.921771
1,720.990397
5.393896
0
0
0
1
84
3.830491
4.907142
1.061624
75.626682
77.407978
17.117872
0.4122
15.774522
9.360889
3.845518
0
0
1
1
798
1.988798
2.982692
1.362544
77.303689
76.034316
267.54266
2.380188
25.491758
722.591938
1.620148
0
0
0
0
1,083
4.86708
4.984865
2.4964
81.90805
81.064302
217.257187
5.398609
16.262052
1,004.306379
2.488466
0
0
0
0
633
2.211679
7.715703
2.24428
76.325323
81.733805
82.040375
4.88404
10.593163
551.233593
5.471423
0
0
0
0
918
2.981941
11.245539
2.724376
76.193842
92.014862
81.632299
10.323405
8.182336
826.242703
8.521163
0
0
0
1
668
2.54182
5.14548
3.114428
75.49389
70.381397
129.822434
3.43718
13.67827
597.045994
2.031051
0
0
0
1
488
0.325005
8.190476
1.503244
76.150753
77.308195
59.581327
3.996952
9.43878
409.513567
6.687232
1
0
1
1
813
4.485257
8.605066
1.668094
76.21798
77.237554
94.479115
6.995919
8.975813
738.579609
6.936973
0
0
0
1
413
3.492244
6.194312
1.769396
82.126134
78.464299
66.673962
2.558251
12.667132
336.258549
4.424916
0
0
1
1
1,185
3.76483
10.673992
2.249566
78.487524
75.174314
111.017408
12.64868
7.042749
1,111.340951
8.424426
0
0
0
0
1,057
2.054571
6.884652
1.598794
76.617464
87.627446
153.529696
7.277077
12.727924
969.828331
5.285858
0
0
0
1
643
2.625858
8.451585
2.90954
83.808091
68.859504
76.080314
5.434369
8.147516
573.856814
5.542045
0
0
0
0
659
4.495829
5.978984
5.866578
76.959741
83.497599
110.219216
3.94015
13.965159
574.131652
0.112406
0
0
0
1
429
3.378734
3.557734
2.692528
77.956845
93.980689
120.58203
1.526268
26.41581
335.705517
0.865206
0
0
1
0
1,087
4.294721
3.272855
2.08666
85.178231
75.427291
332.124862
3.557594
23.046255
1,013.78077
1.186196
0
0
0
0
671
4.183711
7.136869
2.776894
77.187541
79.178336
94.018683
4.788839
11.094252
593.228481
4.359976
0
0
0
1
743
2.983045
11.830769
1.705551
76.268239
85.180514
62.802291
8.790261
7.199908
659.09698
10.125218
0
0
0
1
744
2.740729
4.944986
1.294337
77.417051
90.163324
150.45514
3.679069
18.233247
655.283069
3.650649
0
0
0
1
809
4.050245
7.785442
2.343225
77.791209
75.283887
103.911755
6.298423
9.669816
735.423133
5.442217
0
0
0
1
902
4.200947
14.528383
2.169704
76.169902
78.116536
62.085327
13.104601
5.376819
825.914708
12.358679
0
0
0
0
555
2.756869
2.941945
2.084822
78.193826
83.436028
188.650085
1.632779
28.360745
472.236019
0.857122
0
0
1
1
706
3.322614
6.614217
2.1754
75.46537
69.857252
106.739604
4.669637
10.561665
637.289962
4.438817
0
0
0
1
634
4.144614
8.87925
1.95402
74.04727
80.937101
71.402348
5.629444
9.115298
555.253493
6.92523
0
0
0
1
665
3.020798
7.931052
2.793915
76.949302
76.395635
83.847532
5.27415
9.632459
588.831248
5.137137
0
0
0
1
913
2.577537
5.168561
2.085453
83.063455
86.055655
176.644572
4.718896
16.649797
827.436429
3.083108
0
0
0
0
1,212
1.723152
5.266437
4.289763
80.382307
82.462033
230.136173
6.382922
15.658001
1,126.971356
0.976674
0
0
0
0
1,300
2.21935
8.433284
1.580678
80.84323
74.473407
154.15091
10.96327
8.83088
1,226.165265
6.852606
0
0
0
0
621
3.251042
5.331136
2.615028
78.185455
71.337673
116.485275
3.310635
13.381302
550.298341
2.716108
0
0
0
0
808
3.077382
3.582213
5.852737
83.184829
74.732234
225.558242
2.894428
20.861969
730.492412
-2.270523
0
0
0
1
1,258
3.265263
11.247399
1.487561
76.842186
71.705021
111.847981
14.149228
6.375248
1,188.072681
9.759838
0
0
0
1
1,267
4.119743
8.259543
2.09562
74.636635
76.781918
153.398124
10.464842
9.296134
1,192.242204
6.163923
0
0
0
0
868
2.525346
4.285353
1.596997
76.14099
82.910354
202.549916
3.719687
19.347333
786.017995
2.688356
0
0
0
1
1,024
2.194611
4.866378
0.512182
77.774181
83.93496
210.423004
4.983171
17.247897
941.74747
4.354197
0
0
0
0
1,036
2.161426
6.125224
2.157851
75.996252
77.318644
169.136384
6.345732
12.622969
958.684932
3.967374
0
0
0
0
656
4.151634
6.293229
3.177781
75.572258
68.317647
104.238854
4.128358
10.855721
588.656206
3.115447
0
0
0
1
823
2.377631
2.604273
1.97795
73.113172
76.898773
316.017854
2.143317
29.527807
746.500909
0.626323
0
0
0
1
524
1.441212
6.81795
1.786358
77.267706
73.978998
76.855838
3.572606
10.850607
449.675855
5.031591
1
0
1
0
699
2.106315
2.486776
1.0972
86.787515
90.570099
281.08565
1.738257
36.420537
609.439017
1.389577
0
0
0
0
981
3.235836
7.454698
4.277397
73.299392
80.962784
131.594692
7.313059
10.860624
898.995656
3.177301
0
0
0
1
833
3.758835
6.281994
1.660214
76.560451
70.938112
132.600994
5.232901
11.292274
764.160509
4.62178
0
0
0
0
919
2.726379
14.715238
2.298589
75.610175
87.730004
62.452226
13.523304
5.961843
831.697786
12.416649
0
0
0
1
801
3.707931
8.233514
2.483217
75.775911
81.361103
97.285201
6.595044
9.881687
720.863611
5.750297
0
0
0
1
696
4.103563
6.618358
1.740116
77.589843
67.575875
105.161876
4.606377
10.210353
630.787571
4.878242
0
0
0
1
1,266
5.377554
5.537528
1.029143
77.857636
85.885943
228.621471
7.01051
15.509771
1,184.462467
4.508384
0
0
0
1
1,409
2.781202
7.002047
2.945533
84.636721
81.159766
201.226574
9.865885
11.590846
1,327.675903
4.056515
0
0
0
1
End of preview.

No dataset card yet

Downloads last month
83

Space using simnid/predictive-engine-maintenance-dataset 1