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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 ({'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 |
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