Dataset Preview
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 2 new columns ({'z_coordinate', 'predicted_class_by_rule'}) and 4 missing columns ({'predicted_log10_life', 'predicted_class_by_ml', 'ground_truth_log10_life', 'percentage_error'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SachinSaud/Project_Fatigue/Fatigue_Life_Combined_master/combined_test_results_rule_based/shaft_low/final_combined_prediction_sample_0.csv (at revision 97521c0497d7ecb108368d1ec3c0af63c21e64c4)
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
node_index: int64
z_coordinate: double
ground_truth_life: double
final_predicted_life: double
absolute_error: double
predicted_class_by_rule: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1051
to
{'node_index': Value('int64'), 'ground_truth_log10_life': Value('float64'), 'predicted_log10_life': Value('float64'), 'ground_truth_life': Value('float64'), 'final_predicted_life': Value('float64'), 'absolute_error': Value('float64'), 'percentage_error': Value('float64'), 'predicted_class_by_ml': Value('int64')}
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 1334, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 911, in stream_convert_to_parquet
builder._prepare_split(
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 2 new columns ({'z_coordinate', 'predicted_class_by_rule'}) and 4 missing columns ({'predicted_log10_life', 'predicted_class_by_ml', 'ground_truth_log10_life', 'percentage_error'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SachinSaud/Project_Fatigue/Fatigue_Life_Combined_master/combined_test_results_rule_based/shaft_low/final_combined_prediction_sample_0.csv (at revision 97521c0497d7ecb108368d1ec3c0af63c21e64c4)
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.
node_index
int64 | ground_truth_log10_life
float64 | predicted_log10_life
float64 | ground_truth_life
float64 | final_predicted_life
float64 | absolute_error
float64 | percentage_error
float64 | predicted_class_by_ml
int64 |
|---|---|---|---|---|---|---|---|
0
| 3.690967
| 3.846186
| 4,908.7
| 7,017.5605
| 2,108.8604
| 42.961685
| 0
|
1
| 3.722757
| 3.809372
| 5,281.5
| 6,447.2153
| 1,165.7153
| 22.07167
| 0
|
2
| 3.661387
| 3.838193
| 4,585.5
| 6,889.5903
| 2,304.0903
| 50.247307
| 0
|
3
| 3.677397
| 3.775038
| 4,757.7
| 5,957.136
| 1,199.436
| 25.210417
| 0
|
4
| 3.627919
| 4.049066
| 4,245.4
| 11,196.082
| 6,950.682
| 163.72267
| 1
|
5
| 3.560516
| 3.830602
| 3,635.1
| 6,770.203
| 3,135.103
| 86.2453
| 0
|
6
| 3.643374
| 4.123224
| 4,399.2
| 13,280.786
| 8,881.586
| 201.89091
| 1
|
7
| 3.718128
| 3.801681
| 5,225.5
| 6,334.0435
| 1,108.5435
| 21.214113
| 0
|
8
| 3.649052
| 3.67642
| 4,457.1
| 4,747.0054
| 289.90527
| 6.504347
| 0
|
9
| 3.765467
| 3.7157
| 5,827.3
| 5,196.374
| 630.9258
| 10.827069
| 0
|
10
| 3.783989
| 3.666084
| 6,081.2
| 4,635.3613
| 1,445.8389
| 23.77555
| 0
|
11
| 3.829433
| 3.834333
| 6,752
| 6,828.6274
| 76.62744
| 1.134885
| 0
|
12
| 3.796075
| 3.810428
| 6,252.8
| 6,462.914
| 210.11426
| 3.360323
| 0
|
13
| 3.568577
| 3.557237
| 3,703.2
| 3,607.754
| 95.446045
| 2.577394
| 0
|
14
| 3.567026
| 3.556854
| 3,690
| 3,604.5725
| 85.42749
| 2.315108
| 0
|
15
| 3.568073
| 3.55978
| 3,698.9
| 3,628.9429
| 69.95703
| 1.891293
| 0
|
16
| 3.568061
| 3.558861
| 3,698.8
| 3,621.271
| 77.52905
| 2.09606
| 0
|
17
| 3.566202
| 3.558432
| 3,683
| 3,617.6963
| 65.30371
| 1.773112
| 0
|
18
| 3.577607
| 3.561478
| 3,781
| 3,643.157
| 137.84302
| 3.645676
| 0
|
19
| 3.569058
| 3.562303
| 3,707.3
| 3,650.0857
| 57.214355
| 1.543289
| 0
|
20
| 3.567144
| 3.556099
| 3,691
| 3,598.309
| 92.69092
| 2.511268
| 0
|
21
| 3.575015
| 3.564488
| 3,758.5
| 3,668.491
| 90.00903
| 2.394813
| 0
|
22
| 3.581654
| 3.564882
| 3,816.4
| 3,671.8276
| 144.57227
| 3.788184
| 0
|
23
| 3.570403
| 3.561072
| 3,718.8
| 3,639.7566
| 79.04346
| 2.12551
| 0
|
24
| 3.567485
| 3.558942
| 3,693.9
| 3,621.9429
| 71.95703
| 1.947996
| 0
|
25
| 3.569643
| 3.56767
| 3,712.3
| 3,695.4695
| 16.830566
| 0.453373
| 0
|
26
| 6
| 6.006074
| 1,000,000
| 1,014,082.94
| 14,082.9375
| 1.408294
| 1
|
27
| 6
| 6.005136
| 1,000,000
| 1,011,895.2
| 11,895.1875
| 1.189519
| 1
|
28
| 6
| 6.00431
| 1,000,000
| 1,009,972.75
| 9,972.75
| 0.997275
| 1
|
29
| 6
| 6.00533
| 1,000,000
| 1,012,347.5
| 12,347.5
| 1.23475
| 1
|
30
| 6
| 6.006029
| 1,000,000
| 1,013,979.4
| 13,979.375
| 1.397938
| 1
|
31
| 6
| 6.006142
| 1,000,000
| 1,014,242.2
| 14,242.1875
| 1.424219
| 1
|
32
| 6
| 6.005874
| 1,000,000
| 1,013,616.5
| 13,616.5
| 1.36165
| 1
|
33
| 6
| 6.006629
| 1,000,000
| 1,015,380.9
| 15,380.875
| 1.538088
| 1
|
34
| 6
| 6.006333
| 1,000,000
| 1,014,689.94
| 14,689.9375
| 1.468994
| 1
|
35
| 6
| 6.006659
| 1,000,000
| 1,015,450
| 15,450
| 1.545
| 1
|
36
| 6
| 6.005955
| 1,000,000
| 1,013,806.9
| 13,806.875
| 1.380688
| 1
|
37
| 6
| 6.005883
| 1,000,000
| 1,013,638.75
| 13,638.75
| 1.363875
| 1
|
38
| 5.829246
| 6.009702
| 674,910
| 1,022,590.44
| 347,680.44
| 51.515083
| 1
|
39
| 5.909026
| 6.011746
| 811,010
| 1,027,413.94
| 216,403.94
| 26.683266
| 1
|
40
| 5.193403
| 5.973496
| 156,100
| 940,798.1
| 784,698.1
| 502.68936
| 1
|
41
| 5.874482
| 6.003913
| 749,000
| 1,009,051.7
| 260,051.69
| 34.719852
| 1
|
42
| 5.818628
| 5.995583
| 658,610
| 989,881.2
| 331,271.2
| 50.298534
| 1
|
43
| 5.689024
| 6.011528
| 488,680
| 1,026,898.56
| 538,218.56
| 110.13722
| 1
|
44
| 5.817023
| 6.011633
| 656,180
| 1,027,147.75
| 370,967.75
| 56.53445
| 1
|
45
| 5.516178
| 6.007757
| 328,230
| 1,018,020.94
| 689,790.94
| 210.15475
| 1
|
46
| 6
| 6.008406
| 1,000,000
| 1,019,543.3
| 19,543.312
| 1.954331
| 1
|
47
| 5.50496
| 6.008389
| 319,860
| 1,019,504.1
| 699,644.1
| 218.73448
| 1
|
48
| 5.69824
| 6.008612
| 499,160
| 1,020,028.1
| 520,868.12
| 104.34893
| 1
|
49
| 6
| 6.006148
| 1,000,000
| 1,014,256.6
| 14,256.625
| 1.425663
| 1
|
50
| 5.877463
| 6.006918
| 754,160
| 1,016,056.75
| 261,896.75
| 34.726948
| 1
|
51
| 6
| 6.008578
| 1,000,000
| 1,019,947.5
| 19,947.5
| 1.99475
| 1
|
52
| 5.689477
| 5.890222
| 489,190
| 776,644.1
| 287,454.12
| 58.761246
| 1
|
53
| 6
| 6.009198
| 1,000,000
| 1,021,404.4
| 21,404.375
| 2.140437
| 1
|
54
| 6
| 6.008055
| 1,000,000
| 1,018,720.9
| 18,720.875
| 1.872088
| 1
|
55
| 6
| 6.008735
| 1,000,000
| 1,020,317.1
| 20,317.125
| 2.031713
| 1
|
56
| 5.848867
| 5.956399
| 706,100
| 904,481
| 198,381
| 28.09531
| 1
|
57
| 6
| 6.004063
| 1,000,000
| 1,009,398.5
| 9,398.5
| 0.93985
| 1
|
58
| 6
| 6.006749
| 1,000,000
| 1,015,660.75
| 15,660.75
| 1.566075
| 1
|
59
| 6
| 6.005846
| 1,000,000
| 1,013,550.9
| 13,550.875
| 1.355088
| 1
|
60
| 6
| 6.004261
| 1,000,000
| 1,009,858.56
| 9,858.5625
| 0.985856
| 1
|
61
| 6
| 6.006053
| 1,000,000
| 1,014,033.94
| 14,033.9375
| 1.403394
| 1
|
62
| 6
| 6.00467
| 1,000,000
| 1,010,810.3
| 10,810.3125
| 1.081031
| 1
|
63
| 6
| 6.003116
| 1,000,000
| 1,007,199.9
| 7,199.875
| 0.719988
| 1
|
64
| 6
| 6.006138
| 1,000,000
| 1,014,234.4
| 14,234.375
| 1.423438
| 1
|
65
| 6
| 6.005936
| 1,000,000
| 1,013,762.3
| 13,762.3125
| 1.376231
| 1
|
66
| 6
| 6.006787
| 1,000,000
| 1,015,750
| 15,750
| 1.575
| 1
|
67
| 6
| 6.005318
| 1,000,000
| 1,012,319.7
| 12,319.6875
| 1.231969
| 1
|
68
| 6
| 6.00614
| 1,000,000
| 1,014,238.8
| 14,238.8125
| 1.423881
| 1
|
69
| 6
| 6.006434
| 1,000,000
| 1,014,923.94
| 14,923.9375
| 1.492394
| 1
|
70
| 6
| 6.003985
| 1,000,000
| 1,009,216.75
| 9,216.75
| 0.921675
| 1
|
71
| 4.30882
| 4.448871
| 20,362
| 28,110.635
| 7,748.635
| 38.05439
| 1
|
72
| 4.523591
| 4.394883
| 33,388
| 24,824.625
| 8,563.375
| 25.648064
| 1
|
73
| 4.38369
| 4.565221
| 24,193
| 36,746.95
| 12,553.949
| 51.89083
| 1
|
74
| 4.570672
| 4.794091
| 37,211
| 62,243.03
| 25,032.031
| 67.270515
| 1
|
75
| 4.423475
| 4.648411
| 26,514
| 44,505.203
| 17,991.203
| 67.855484
| 1
|
76
| 4.300791
| 4.394141
| 19,989
| 24,782.25
| 4,793.25
| 23.979439
| 1
|
77
| 4.583799
| 4.805114
| 38,353
| 63,843.074
| 25,490.074
| 66.46175
| 1
|
78
| 4.462668
| 4.692223
| 29,018
| 49,229.234
| 20,211.234
| 69.65068
| 1
|
79
| 4.377689
| 4.585916
| 23,861
| 38,540.344
| 14,679.344
| 61.520237
| 1
|
80
| 4.29108
| 4.579001
| 19,547
| 37,931.62
| 18,384.621
| 94.05342
| 1
|
81
| 4.847684
| 4.806294
| 70,418
| 64,016.87
| 6,401.129
| 9.090188
| 1
|
82
| 4.414907
| 4.786786
| 25,996
| 61,204.883
| 35,208.883
| 135.43962
| 1
|
83
| 4.28117
| 4.766041
| 19,106
| 58,350.055
| 39,244.055
| 205.40173
| 1
|
84
| 4.639656
| 4.809553
| 43,617
| 64,499.023
| 20,882.023
| 47.87588
| 1
|
85
| 4.483045
| 4.775151
| 30,412
| 59,586.9
| 29,174.898
| 95.93219
| 1
|
86
| 4.477035
| 4.666168
| 29,994
| 46,362.598
| 16,368.598
| 54.572903
| 1
|
87
| 4.334374
| 4.489618
| 21,596
| 30,875.807
| 9,279.807
| 42.970024
| 1
|
88
| 4.736436
| 4.939777
| 54,505
| 87,051.625
| 32,546.625
| 59.7131
| 1
|
89
| 4.629308
| 4.782066
| 42,590
| 60,543.336
| 17,953.336
| 42.153877
| 1
|
90
| 3.774831
| 4.193506
| 5,954.3
| 15,613.697
| 9,659.397
| 162.22559
| 1
|
91
| 3.875958
| 4.133938
| 7,515.5
| 13,612.498
| 6,096.998
| 81.12565
| 1
|
92
| 3.831147
| 4.357218
| 6,778.7
| 22,762.41
| 15,983.71
| 235.79314
| 1
|
93
| 3.596135
| 4.176498
| 3,945.8
| 15,014.053
| 11,068.253
| 280.50717
| 1
|
94
| 3.753698
| 4.215099
| 5,671.5
| 16,409.65
| 10,738.15
| 189.33528
| 1
|
95
| 3.636949
| 4.111946
| 4,334.6
| 12,940.339
| 8,605.738
| 198.53592
| 1
|
96
| 3.970259
| 3.804398
| 9,338.1
| 6,373.791
| 2,964.3086
| 31.744238
| 0
|
97
| 3.576249
| 3.530978
| 3,769.2
| 3,396.0767
| 373.1233
| 9.899271
| 0
|
98
| 3.567403
| 3.553743
| 3,693.2
| 3,578.847
| 114.35303
| 3.096313
| 0
|
99
| 3.553106
| 3.542911
| 3,573.6
| 3,490.6882
| 82.911865
| 2.320122
| 0
|
End of preview.
No dataset card yet
- Downloads last month
- -