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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 2 new columns ({'UDI', 'Failure'}) This happened while the csv dataset builder was generating data using hf://datasets/amit14official/machine-failure-prediction/machine-failure-prediction.csv (at revision 42e6aa1039d59fd9ad172b310fa5a5703cd33b41) 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast UDI: int64 Type: string Air temperature: double Process temperature: double Rotational speed: int64 Torque: double Tool wear: int64 Failure: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1212 to {'Type': Value('int64'), 'Air temperature': Value('float64'), 'Process temperature': Value('float64'), 'Rotational speed': Value('int64'), 'Torque': Value('float64'), 'Tool wear': 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 1456, 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 1055, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/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 ({'UDI', 'Failure'}) This happened while the csv dataset builder was generating data using hf://datasets/amit14official/machine-failure-prediction/machine-failure-prediction.csv (at revision 42e6aa1039d59fd9ad172b310fa5a5703cd33b41) 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)
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Type
int64 | Air temperature
float64 | Process temperature
float64 | Rotational speed
int64 | Torque
float64 | Tool wear
int64 |
---|---|---|---|---|---|
1 | 300.8 | 330.037037 | 1,538 | 36.1 | 198 |
2 | 303.6 | 335.592593 | 1,421 | 44.8 | 101 |
2 | 298.3 | 321.148148 | 1,485 | 42 | 117 |
1 | 303.3 | 333.740741 | 1,592 | 33.7 | 14 |
1 | 302.4 | 330.407407 | 1,865 | 23.9 | 129 |
0 | 300.5 | 328.555556 | 1,397 | 45.9 | 210 |
0 | 297.7 | 327.814815 | 1,440 | 51.1 | 191 |
1 | 303.7 | 338.925926 | 1,335 | 51.1 | 161 |
2 | 300 | 327.444444 | 1,618 | 36.2 | 53 |
2 | 297.4 | 322.62963 | 1,535 | 34.6 | 51 |
0 | 299.7 | 325.962963 | 1,456 | 40.6 | 182 |
1 | 300.3 | 335.222222 | 1,707 | 33.6 | 158 |
2 | 303.6 | 340.037037 | 1,396 | 38.2 | 117 |
1 | 302.4 | 335.222222 | 1,495 | 36.8 | 215 |
1 | 302 | 332.62963 | 1,420 | 45.9 | 144 |
1 | 300.6 | 332.259259 | 1,471 | 37.9 | 86 |
1 | 297.8 | 327.814815 | 1,341 | 49.2 | 208 |
1 | 298.3 | 322.62963 | 1,452 | 45.5 | 63 |
1 | 300.6 | 330.407407 | 1,556 | 37.7 | 122 |
1 | 299.6 | 331.888889 | 1,400 | 40.8 | 118 |
2 | 298.8 | 326.333333 | 1,618 | 35.1 | 173 |
1 | 299.2 | 323.37037 | 1,442 | 46.5 | 11 |
1 | 303.1 | 333.37037 | 1,435 | 40.1 | 219 |
1 | 298.9 | 327.444444 | 1,589 | 34.2 | 197 |
1 | 303.7 | 338.925926 | 1,395 | 53.9 | 123 |
0 | 298.5 | 324.111111 | 1,450 | 43.9 | 28 |
1 | 297.7 | 319.666667 | 1,379 | 43.3 | 111 |
0 | 299.1 | 330.407407 | 1,369 | 54.5 | 104 |
1 | 301.7 | 331.518519 | 1,763 | 25.9 | 3 |
1 | 297.5 | 324.851852 | 1,443 | 43.5 | 0 |
1 | 297.8 | 323 | 1,518 | 32.5 | 190 |
1 | 299.8 | 327.444444 | 1,447 | 43.1 | 12 |
1 | 303 | 333.37037 | 1,511 | 45.7 | 184 |
2 | 303.8 | 338.925926 | 1,555 | 33.4 | 128 |
1 | 298.6 | 327.074074 | 1,325 | 52.2 | 127 |
1 | 301.6 | 331.888889 | 1,564 | 34.1 | 150 |
2 | 302.5 | 335.962963 | 1,298 | 57.5 | 57 |
2 | 298 | 322.259259 | 1,466 | 42.6 | 2 |
1 | 302.3 | 334.111111 | 1,535 | 41.8 | 77 |
2 | 301.6 | 330.777778 | 1,414 | 49.3 | 106 |
2 | 302.3 | 335.222222 | 1,540 | 28.9 | 149 |
2 | 298.8 | 325.962963 | 1,452 | 48.6 | 98 |
1 | 298.6 | 327.444444 | 1,353 | 62.5 | 9 |
1 | 298.1 | 324.111111 | 1,568 | 32.9 | 10 |
1 | 298.5 | 327.074074 | 1,480 | 38.1 | 160 |
1 | 298.8 | 325.592593 | 1,350 | 52.5 | 111 |
1 | 303.6 | 337.074074 | 1,696 | 30.7 | 5 |
2 | 301.8 | 331.518519 | 1,383 | 45.7 | 44 |
1 | 298.1 | 319.666667 | 1,684 | 33.1 | 200 |
1 | 299.1 | 323.37037 | 1,455 | 39.8 | 145 |
1 | 302.3 | 333.37037 | 1,758 | 24.4 | 68 |
1 | 298.8 | 331.148148 | 1,651 | 33.3 | 0 |
1 | 303.8 | 339.666667 | 1,819 | 23.7 | 16 |
2 | 300.1 | 333.740741 | 1,650 | 33.8 | 38 |
2 | 300.6 | 328.185185 | 1,447 | 42.9 | 12 |
1 | 300.8 | 335.222222 | 1,681 | 31.3 | 221 |
2 | 300.3 | 327.074074 | 1,665 | 31.4 | 32 |
0 | 299.1 | 328.925926 | 1,431 | 49.5 | 205 |
2 | 299.2 | 325.222222 | 1,541 | 36.3 | 104 |
1 | 298.9 | 323.740741 | 1,539 | 45.4 | 4 |
1 | 297.3 | 323 | 1,339 | 52.1 | 36 |
1 | 301 | 337.074074 | 1,602 | 35.9 | 67 |
1 | 300.9 | 331.518519 | 1,479 | 43.3 | 201 |
2 | 298.8 | 324.481482 | 1,497 | 46.8 | 72 |
1 | 299 | 330.037037 | 1,520 | 45 | 171 |
1 | 299.6 | 332.259259 | 1,448 | 46.3 | 196 |
1 | 299.7 | 325.592593 | 1,715 | 27.8 | 192 |
1 | 298.5 | 328.185185 | 1,593 | 35.1 | 203 |
2 | 301.3 | 332.62963 | 1,495 | 40.8 | 148 |
2 | 300.5 | 326.333333 | 1,578 | 30.5 | 34 |
2 | 303.4 | 338.925926 | 1,399 | 48.4 | 34 |
2 | 297 | 320.777778 | 1,579 | 34.1 | 94 |
0 | 301.8 | 331.148148 | 1,441 | 46.3 | 100 |
1 | 300.7 | 327.444444 | 1,733 | 24.8 | 85 |
2 | 300.7 | 327.444444 | 1,421 | 49.8 | 165 |
1 | 299.7 | 333.37037 | 1,352 | 52.1 | 176 |
1 | 295.9 | 316.333333 | 1,557 | 41.1 | 113 |
1 | 301.7 | 332.62963 | 1,700 | 28.7 | 19 |
2 | 297.6 | 322.62963 | 1,648 | 29.1 | 134 |
0 | 298.7 | 323 | 1,560 | 33.3 | 53 |
2 | 297.3 | 323 | 1,521 | 38.2 | 87 |
1 | 295.5 | 314.851852 | 1,448 | 48.9 | 65 |
2 | 303.3 | 338.555556 | 1,397 | 47.1 | 137 |
0 | 302.4 | 333.37037 | 1,506 | 40.8 | 204 |
1 | 301.3 | 332.62963 | 1,554 | 47.7 | 84 |
2 | 300.5 | 328.925926 | 1,415 | 43.5 | 98 |
2 | 301.3 | 330.407407 | 1,577 | 48.3 | 78 |
1 | 300.4 | 327.814815 | 1,488 | 35.7 | 177 |
1 | 297 | 320.777778 | 1,500 | 39.9 | 175 |
1 | 300.3 | 334.481482 | 1,548 | 32.2 | 25 |
1 | 299.9 | 333.740741 | 1,647 | 27.5 | 26 |
1 | 300.8 | 335.222222 | 1,432 | 45.8 | 6 |
2 | 298.2 | 324.481482 | 1,456 | 41.2 | 150 |
1 | 296.8 | 320.777778 | 1,565 | 39.5 | 124 |
1 | 300.4 | 327.814815 | 1,534 | 42.5 | 127 |
1 | 302.3 | 331.888889 | 1,377 | 47.3 | 22 |
1 | 297.9 | 325.592593 | 1,595 | 32 | 32 |
2 | 299.9 | 333.37037 | 1,579 | 35.5 | 162 |
1 | 300.2 | 333.740741 | 1,487 | 36.9 | 71 |
1 | 299.8 | 328.555556 | 1,553 | 36.6 | 157 |
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