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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 ({'Salary'}) and 19 missing columns ({'HmRun', 'Runs', 'RBI', 'CRBI', 'DivisionW', 'PutOuts', 'Walks', 'AtBat', 'Errors', 'Assists', 'LeagueN', 'CRuns', 'Years', 'Hits', 'CWalks', 'NewLeagueN', 'CHmRun', 'CHits', 'CAtBat'}). This happened while the csv dataset builder was generating data using hf://datasets/Adapting/MLO/hitters.y.csv (at revision f8cbdcb404b37b5804966dd9851064e01db9f4e6) 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 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast Salary: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 374 to {'AtBat': Value(dtype='int64', id=None), 'Hits': Value(dtype='int64', id=None), 'HmRun': Value(dtype='int64', id=None), 'Runs': Value(dtype='int64', id=None), 'RBI': Value(dtype='int64', id=None), 'Walks': Value(dtype='int64', id=None), 'Years': Value(dtype='int64', id=None), 'CAtBat': Value(dtype='int64', id=None), 'CHits': Value(dtype='int64', id=None), 'CHmRun': Value(dtype='int64', id=None), 'CRuns': Value(dtype='int64', id=None), 'CRBI': Value(dtype='int64', id=None), 'CWalks': Value(dtype='int64', id=None), 'LeagueN': Value(dtype='int64', id=None), 'DivisionW': Value(dtype='int64', id=None), 'PutOuts': Value(dtype='int64', id=None), 'Assists': Value(dtype='int64', id=None), 'Errors': Value(dtype='int64', id=None), 'NewLeagueN': Value(dtype='int64', id=None)} 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'Salary'}) and 19 missing columns ({'HmRun', 'Runs', 'RBI', 'CRBI', 'DivisionW', 'PutOuts', 'Walks', 'AtBat', 'Errors', 'Assists', 'LeagueN', 'CRuns', 'Years', 'Hits', 'CWalks', 'NewLeagueN', 'CHmRun', 'CHits', 'CAtBat'}). This happened while the csv dataset builder was generating data using hf://datasets/Adapting/MLO/hitters.y.csv (at revision f8cbdcb404b37b5804966dd9851064e01db9f4e6) 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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AtBat
int64 | Hits
int64 | HmRun
int64 | Runs
int64 | RBI
int64 | Walks
int64 | Years
int64 | CAtBat
int64 | CHits
int64 | CHmRun
int64 | CRuns
int64 | CRBI
int64 | CWalks
int64 | LeagueN
int64 | DivisionW
int64 | PutOuts
int64 | Assists
int64 | Errors
int64 | NewLeagueN
int64 |
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315 | 81 | 7 | 24 | 38 | 39 | 14 | 3,449 | 835 | 69 | 321 | 414 | 375 | 1 | 1 | 632 | 43 | 10 | 1 |
479 | 130 | 18 | 66 | 72 | 76 | 3 | 1,624 | 457 | 63 | 224 | 266 | 263 | 0 | 1 | 880 | 82 | 14 | 0 |
496 | 141 | 20 | 65 | 78 | 37 | 11 | 5,628 | 1,575 | 225 | 828 | 838 | 354 | 1 | 0 | 200 | 11 | 3 | 1 |
321 | 87 | 10 | 39 | 42 | 30 | 2 | 396 | 101 | 12 | 48 | 46 | 33 | 1 | 0 | 805 | 40 | 4 | 1 |
594 | 169 | 4 | 74 | 51 | 35 | 11 | 4,408 | 1,133 | 19 | 501 | 336 | 194 | 0 | 1 | 282 | 421 | 25 | 0 |
185 | 37 | 1 | 23 | 8 | 21 | 2 | 214 | 42 | 1 | 30 | 9 | 24 | 1 | 0 | 76 | 127 | 7 | 0 |
298 | 73 | 0 | 24 | 24 | 7 | 3 | 509 | 108 | 0 | 41 | 37 | 12 | 0 | 1 | 121 | 283 | 9 | 0 |
323 | 81 | 6 | 26 | 32 | 8 | 2 | 341 | 86 | 6 | 32 | 34 | 8 | 1 | 1 | 143 | 290 | 19 | 1 |
401 | 92 | 17 | 49 | 66 | 65 | 13 | 5,206 | 1,332 | 253 | 784 | 890 | 866 | 0 | 0 | 0 | 0 | 0 | 0 |
574 | 159 | 21 | 107 | 75 | 59 | 10 | 4,631 | 1,300 | 90 | 702 | 504 | 488 | 0 | 0 | 238 | 445 | 22 | 0 |
202 | 53 | 4 | 31 | 26 | 27 | 9 | 1,876 | 467 | 15 | 192 | 186 | 161 | 1 | 1 | 304 | 45 | 11 | 1 |
418 | 113 | 13 | 48 | 61 | 47 | 4 | 1,512 | 392 | 41 | 205 | 204 | 203 | 1 | 0 | 211 | 11 | 7 | 1 |
239 | 60 | 0 | 30 | 11 | 22 | 6 | 1,941 | 510 | 4 | 309 | 103 | 207 | 0 | 0 | 121 | 151 | 6 | 0 |
196 | 43 | 7 | 29 | 27 | 30 | 13 | 3,231 | 825 | 36 | 376 | 290 | 238 | 1 | 0 | 80 | 45 | 8 | 1 |
568 | 158 | 20 | 89 | 75 | 73 | 15 | 8,068 | 2,273 | 177 | 1,045 | 993 | 732 | 1 | 1 | 105 | 290 | 10 | 1 |
190 | 46 | 2 | 24 | 8 | 15 | 5 | 479 | 102 | 5 | 65 | 23 | 39 | 0 | 1 | 102 | 177 | 16 | 0 |
127 | 32 | 8 | 16 | 22 | 14 | 8 | 727 | 180 | 24 | 67 | 82 | 56 | 1 | 1 | 202 | 22 | 2 | 1 |
413 | 92 | 16 | 72 | 48 | 65 | 1 | 413 | 92 | 16 | 72 | 48 | 65 | 1 | 0 | 280 | 9 | 5 | 1 |
426 | 109 | 3 | 55 | 43 | 62 | 1 | 426 | 109 | 3 | 55 | 43 | 62 | 0 | 1 | 361 | 22 | 2 | 1 |
472 | 116 | 16 | 60 | 62 | 74 | 6 | 1,924 | 489 | 67 | 242 | 251 | 240 | 1 | 1 | 518 | 55 | 3 | 1 |
629 | 168 | 18 | 73 | 102 | 40 | 18 | 8,424 | 2,464 | 164 | 1,008 | 1,072 | 402 | 0 | 0 | 1,067 | 157 | 14 | 0 |
587 | 163 | 4 | 92 | 51 | 70 | 6 | 2,695 | 747 | 17 | 442 | 198 | 317 | 0 | 0 | 434 | 9 | 3 | 0 |
324 | 73 | 4 | 32 | 18 | 22 | 7 | 1,931 | 491 | 13 | 291 | 108 | 180 | 1 | 0 | 222 | 3 | 3 | 1 |
474 | 129 | 10 | 50 | 56 | 40 | 10 | 2,331 | 604 | 61 | 246 | 327 | 166 | 1 | 1 | 732 | 83 | 13 | 1 |
550 | 152 | 6 | 92 | 37 | 81 | 5 | 2,308 | 633 | 32 | 349 | 182 | 308 | 1 | 1 | 262 | 329 | 16 | 1 |
513 | 137 | 20 | 90 | 95 | 90 | 14 | 5,201 | 1,382 | 166 | 763 | 734 | 784 | 0 | 1 | 267 | 5 | 3 | 0 |
419 | 108 | 6 | 55 | 36 | 22 | 3 | 591 | 149 | 8 | 80 | 46 | 31 | 1 | 1 | 226 | 7 | 4 | 1 |
583 | 168 | 17 | 83 | 80 | 56 | 5 | 1,646 | 452 | 44 | 219 | 208 | 136 | 0 | 0 | 109 | 292 | 25 | 0 |
204 | 49 | 6 | 23 | 25 | 12 | 7 | 1,309 | 308 | 27 | 126 | 132 | 66 | 0 | 1 | 419 | 46 | 5 | 0 |
379 | 106 | 10 | 38 | 60 | 30 | 14 | 6,207 | 1,906 | 146 | 859 | 803 | 571 | 1 | 1 | 72 | 170 | 24 | 1 |
268 | 60 | 5 | 24 | 25 | 15 | 2 | 350 | 78 | 5 | 34 | 29 | 18 | 1 | 1 | 442 | 59 | 6 | 1 |
181 | 41 | 1 | 15 | 21 | 33 | 2 | 232 | 50 | 4 | 20 | 29 | 45 | 0 | 0 | 326 | 29 | 5 | 0 |
217 | 46 | 7 | 32 | 19 | 9 | 4 | 694 | 160 | 32 | 86 | 76 | 32 | 0 | 0 | 307 | 25 | 1 | 0 |
254 | 68 | 2 | 28 | 26 | 22 | 6 | 999 | 236 | 21 | 108 | 117 | 118 | 0 | 0 | 359 | 30 | 4 | 0 |
416 | 132 | 7 | 57 | 49 | 33 | 3 | 932 | 273 | 24 | 113 | 121 | 80 | 1 | 1 | 73 | 177 | 18 | 1 |
205 | 57 | 8 | 34 | 32 | 9 | 5 | 756 | 192 | 32 | 117 | 107 | 51 | 0 | 0 | 58 | 4 | 4 | 0 |
526 | 146 | 13 | 71 | 70 | 84 | 6 | 2,648 | 715 | 77 | 352 | 342 | 289 | 1 | 1 | 303 | 9 | 9 | 1 |
457 | 101 | 14 | 42 | 63 | 22 | 17 | 6,521 | 1,767 | 281 | 1,003 | 977 | 619 | 0 | 1 | 389 | 39 | 4 | 0 |
214 | 53 | 2 | 30 | 29 | 23 | 2 | 226 | 59 | 2 | 32 | 32 | 27 | 1 | 0 | 109 | 7 | 3 | 1 |
591 | 168 | 19 | 80 | 72 | 39 | 9 | 4,478 | 1,307 | 113 | 634 | 563 | 319 | 0 | 1 | 67 | 147 | 4 | 0 |
403 | 101 | 12 | 45 | 53 | 39 | 12 | 5,150 | 1,429 | 166 | 747 | 666 | 526 | 0 | 0 | 316 | 6 | 5 | 0 |
405 | 102 | 18 | 49 | 85 | 20 | 6 | 950 | 231 | 29 | 99 | 138 | 64 | 1 | 1 | 161 | 10 | 3 | 1 |
244 | 58 | 9 | 28 | 25 | 35 | 4 | 1,335 | 333 | 49 | 164 | 179 | 194 | 1 | 1 | 142 | 14 | 2 | 1 |
313 | 78 | 6 | 32 | 41 | 12 | 12 | 3,742 | 968 | 35 | 409 | 321 | 170 | 1 | 1 | 106 | 206 | 7 | 1 |
627 | 177 | 25 | 98 | 81 | 70 | 6 | 3,210 | 927 | 133 | 529 | 472 | 313 | 0 | 0 | 240 | 482 | 13 | 0 |
416 | 113 | 24 | 58 | 69 | 16 | 1 | 416 | 113 | 24 | 58 | 69 | 16 | 0 | 0 | 203 | 70 | 10 | 0 |
155 | 44 | 6 | 21 | 23 | 15 | 16 | 6,631 | 1,634 | 98 | 698 | 661 | 777 | 1 | 0 | 53 | 88 | 3 | 1 |
236 | 56 | 0 | 27 | 15 | 11 | 4 | 1,115 | 270 | 1 | 116 | 64 | 57 | 0 | 1 | 125 | 199 | 13 | 0 |
216 | 53 | 1 | 31 | 15 | 22 | 4 | 926 | 210 | 9 | 118 | 69 | 114 | 1 | 1 | 73 | 152 | 11 | 1 |
585 | 139 | 31 | 93 | 94 | 62 | 17 | 7,546 | 1,982 | 315 | 1,141 | 1,179 | 727 | 0 | 0 | 0 | 0 | 0 | 0 |
199 | 53 | 5 | 29 | 22 | 21 | 3 | 514 | 120 | 8 | 57 | 40 | 39 | 0 | 1 | 152 | 3 | 5 | 0 |
521 | 142 | 20 | 67 | 86 | 45 | 4 | 815 | 205 | 22 | 99 | 103 | 78 | 0 | 0 | 107 | 242 | 23 | 0 |
311 | 81 | 3 | 42 | 30 | 26 | 17 | 8,247 | 2,198 | 100 | 950 | 909 | 690 | 1 | 1 | 153 | 223 | 10 | 1 |
512 | 131 | 26 | 69 | 96 | 52 | 14 | 5,347 | 1,397 | 221 | 712 | 815 | 548 | 0 | 1 | 119 | 216 | 12 | 0 |
507 | 122 | 29 | 78 | 85 | 91 | 18 | 7,761 | 1,947 | 347 | 1,175 | 1,152 | 1,380 | 0 | 0 | 808 | 108 | 2 | 0 |
529 | 137 | 26 | 86 | 97 | 97 | 15 | 6,661 | 1,785 | 291 | 1,082 | 949 | 989 | 0 | 0 | 280 | 10 | 5 | 0 |
424 | 119 | 6 | 57 | 46 | 13 | 9 | 3,651 | 1,046 | 32 | 461 | 301 | 112 | 0 | 0 | 224 | 286 | 8 | 1 |
351 | 97 | 4 | 55 | 29 | 39 | 4 | 1,258 | 353 | 16 | 196 | 110 | 117 | 1 | 1 | 226 | 7 | 3 | 0 |
388 | 103 | 15 | 59 | 47 | 39 | 6 | 2,174 | 555 | 80 | 285 | 274 | 186 | 0 | 1 | 182 | 9 | 4 | 0 |
339 | 96 | 4 | 37 | 29 | 23 | 4 | 1,064 | 290 | 11 | 123 | 108 | 55 | 0 | 1 | 104 | 213 | 9 | 0 |
255 | 70 | 7 | 49 | 35 | 43 | 15 | 6,311 | 1,661 | 154 | 1,019 | 608 | 820 | 1 | 0 | 51 | 54 | 8 | 1 |
677 | 238 | 31 | 117 | 113 | 53 | 5 | 2,223 | 737 | 93 | 349 | 401 | 171 | 0 | 0 | 1,377 | 100 | 6 | 0 |
614 | 163 | 29 | 89 | 83 | 75 | 11 | 5,017 | 1,388 | 266 | 813 | 822 | 617 | 1 | 1 | 303 | 6 | 6 | 1 |
329 | 83 | 9 | 50 | 39 | 56 | 9 | 3,828 | 948 | 145 | 575 | 528 | 635 | 0 | 1 | 276 | 6 | 2 | 0 |
637 | 174 | 31 | 89 | 116 | 56 | 14 | 6,727 | 2,024 | 247 | 978 | 1,093 | 495 | 1 | 1 | 278 | 9 | 9 | 1 |
280 | 82 | 16 | 44 | 45 | 47 | 2 | 428 | 113 | 25 | 61 | 70 | 63 | 0 | 0 | 148 | 4 | 2 | 0 |
155 | 41 | 12 | 21 | 29 | 22 | 16 | 5,409 | 1,338 | 181 | 746 | 805 | 875 | 0 | 1 | 165 | 9 | 1 | 0 |
458 | 114 | 13 | 67 | 57 | 48 | 4 | 1,350 | 298 | 28 | 160 | 123 | 122 | 0 | 1 | 246 | 389 | 18 | 0 |
314 | 83 | 13 | 39 | 46 | 16 | 5 | 1,457 | 405 | 28 | 156 | 159 | 76 | 0 | 1 | 533 | 40 | 4 | 0 |
475 | 123 | 27 | 76 | 93 | 72 | 4 | 1,810 | 471 | 108 | 292 | 343 | 267 | 1 | 0 | 226 | 10 | 6 | 1 |
317 | 78 | 7 | 35 | 35 | 32 | 1 | 317 | 78 | 7 | 35 | 35 | 32 | 0 | 0 | 45 | 122 | 26 | 0 |
511 | 138 | 25 | 76 | 96 | 61 | 3 | 592 | 164 | 28 | 87 | 110 | 71 | 0 | 1 | 157 | 7 | 8 | 0 |
382 | 119 | 13 | 54 | 58 | 36 | 12 | 2,133 | 594 | 41 | 287 | 294 | 227 | 1 | 1 | 59 | 156 | 9 | 1 |
565 | 148 | 24 | 90 | 104 | 77 | 14 | 7,287 | 2,083 | 305 | 1,135 | 1,234 | 791 | 0 | 0 | 292 | 9 | 5 | 0 |
415 | 115 | 27 | 97 | 71 | 68 | 3 | 711 | 184 | 45 | 156 | 119 | 99 | 1 | 1 | 274 | 2 | 7 | 1 |
424 | 110 | 15 | 70 | 47 | 36 | 7 | 2,130 | 544 | 38 | 335 | 174 | 258 | 1 | 1 | 292 | 6 | 3 | 1 |
495 | 151 | 17 | 61 | 84 | 78 | 10 | 5,624 | 1,679 | 275 | 884 | 1,015 | 709 | 0 | 0 | 1,045 | 88 | 13 | 0 |
233 | 49 | 2 | 41 | 23 | 18 | 8 | 1,350 | 336 | 7 | 166 | 122 | 106 | 0 | 0 | 102 | 132 | 10 | 0 |
566 | 154 | 22 | 76 | 84 | 43 | 14 | 6,100 | 1,583 | 131 | 743 | 693 | 300 | 0 | 1 | 316 | 439 | 10 | 0 |
641 | 198 | 31 | 101 | 108 | 41 | 5 | 2,129 | 610 | 92 | 297 | 319 | 117 | 0 | 0 | 269 | 17 | 10 | 0 |
215 | 51 | 4 | 19 | 18 | 11 | 1 | 215 | 51 | 4 | 19 | 18 | 11 | 0 | 0 | 116 | 5 | 12 | 0 |
441 | 128 | 16 | 70 | 73 | 80 | 14 | 6,675 | 2,095 | 209 | 1,072 | 1,050 | 695 | 0 | 1 | 97 | 218 | 16 | 0 |
325 | 76 | 16 | 33 | 52 | 37 | 5 | 1,506 | 351 | 71 | 195 | 219 | 214 | 1 | 1 | 726 | 87 | 3 | 0 |
490 | 125 | 24 | 81 | 105 | 62 | 13 | 6,063 | 1,646 | 271 | 847 | 999 | 680 | 1 | 0 | 869 | 62 | 8 | 1 |
574 | 152 | 31 | 91 | 101 | 64 | 3 | 985 | 260 | 53 | 148 | 173 | 95 | 1 | 1 | 1,253 | 111 | 11 | 1 |
596 | 171 | 34 | 91 | 108 | 52 | 6 | 2,862 | 728 | 107 | 361 | 401 | 224 | 0 | 1 | 118 | 334 | 21 | 0 |
472 | 118 | 12 | 63 | 54 | 30 | 4 | 793 | 187 | 14 | 102 | 80 | 50 | 0 | 1 | 228 | 377 | 26 | 0 |
283 | 77 | 14 | 45 | 47 | 26 | 16 | 6,840 | 1,910 | 259 | 915 | 1,067 | 546 | 0 | 1 | 144 | 6 | 5 | 0 |
408 | 94 | 4 | 42 | 36 | 66 | 9 | 3,573 | 866 | 59 | 429 | 365 | 410 | 1 | 1 | 282 | 487 | 19 | 1 |
327 | 85 | 3 | 30 | 44 | 20 | 8 | 2,140 | 568 | 16 | 216 | 208 | 93 | 0 | 0 | 91 | 185 | 12 | 0 |
370 | 96 | 21 | 49 | 46 | 60 | 15 | 6,986 | 1,972 | 231 | 1,070 | 955 | 921 | 1 | 0 | 137 | 5 | 9 | 1 |
354 | 77 | 16 | 36 | 55 | 41 | 20 | 8,716 | 2,172 | 384 | 1,172 | 1,267 | 1,057 | 1 | 1 | 83 | 174 | 16 | 1 |
539 | 139 | 5 | 93 | 58 | 69 | 5 | 1,469 | 369 | 12 | 247 | 126 | 198 | 0 | 1 | 462 | 9 | 7 | 0 |
340 | 84 | 11 | 62 | 33 | 47 | 5 | 1,516 | 376 | 42 | 284 | 141 | 219 | 1 | 0 | 185 | 8 | 4 | 0 |
510 | 126 | 2 | 42 | 44 | 35 | 11 | 5,562 | 1,578 | 44 | 703 | 519 | 256 | 1 | 1 | 207 | 358 | 20 | 1 |
282 | 78 | 13 | 37 | 51 | 29 | 5 | 1,649 | 453 | 73 | 211 | 280 | 138 | 0 | 1 | 670 | 57 | 5 | 0 |
380 | 120 | 5 | 54 | 51 | 31 | 8 | 3,118 | 900 | 92 | 444 | 419 | 240 | 0 | 1 | 237 | 8 | 1 | 0 |
584 | 158 | 15 | 70 | 84 | 42 | 5 | 2,358 | 636 | 58 | 265 | 316 | 134 | 1 | 0 | 331 | 20 | 4 | 1 |
570 | 169 | 21 | 72 | 88 | 38 | 7 | 3,754 | 1,077 | 140 | 492 | 589 | 263 | 0 | 1 | 295 | 15 | 5 | 0 |
306 | 104 | 14 | 50 | 58 | 25 | 7 | 2,954 | 822 | 55 | 313 | 377 | 187 | 1 | 0 | 116 | 222 | 15 | 1 |
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