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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'}) and 6 missing columns ({'Lub oil pressure', 'lub oil temp', 'Engine rpm', 'Coolant pressure', 'Fuel pressure', 'Coolant temp'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Bhargavi329/vehicle-predictive-maintenance/y_train.csv (at revision 2fc6a170c5da9d49ec611261c690a832f39856bb)
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 ({'Lub oil pressure', 'lub oil temp', 'Engine rpm', 'Coolant pressure', 'Fuel pressure', 'Coolant temp'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Bhargavi329/vehicle-predictive-maintenance/y_train.csv (at revision 2fc6a170c5da9d49ec611261c690a832f39856bb)
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.