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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 6 new columns ({'sales_skills', 'monthly_bills', 'entrepreneurial_readiness', 'monthly_income', 'business_idea_difficulty', 'willing_risk_level'}) and 6 missing columns ({'monthly income', 'business idea difficulty', 'monthly bills', 'entrepernuerial readiness', 'willing risk level', 'sales skills'}).
This happened while the csv dataset builder was generating data using
hf://datasets/chaosbringerc/entrepreneur-readiness-dataset/entrepreneur_profiles.csv (at revision 1f496ffee1fa5f5be232f0e0387fc882a8b7ea87)
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
savings: int64
monthly_income: int64
monthly_bills: int64
expenses: int64
entertainment: int64
willing_risk_level: int64
sales_skills: int64
age: int64
dependencies: int64
assets: int64
confidence: int64
business_idea_difficulty: int64
entrepreneurial_readiness: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1854
to
{'savings': Value('int64'), 'monthly income': Value('int64'), 'monthly bills': Value('int64'), 'expenses': Value('int64'), 'entertainment': Value('int64'), 'willing risk level': Value('int64'), 'sales skills': Value('int64'), 'age': Value('int64'), 'dependencies': Value('int64'), 'assets': Value('int64'), 'confidence': Value('int64'), 'business idea difficulty': Value('int64'), 'entrepernuerial readiness': 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 6 new columns ({'sales_skills', 'monthly_bills', 'entrepreneurial_readiness', 'monthly_income', 'business_idea_difficulty', 'willing_risk_level'}) and 6 missing columns ({'monthly income', 'business idea difficulty', 'monthly bills', 'entrepernuerial readiness', 'willing risk level', 'sales skills'}).
This happened while the csv dataset builder was generating data using
hf://datasets/chaosbringerc/entrepreneur-readiness-dataset/entrepreneur_profiles.csv (at revision 1f496ffee1fa5f5be232f0e0387fc882a8b7ea87)
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.
savings int64 | monthly income int64 | monthly bills int64 | expenses int64 | entertainment int64 | willing risk level int64 | sales skills int64 | age int64 | dependencies int64 | assets int64 | confidence int64 | business idea difficulty int64 | entrepernuerial readiness int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,251 | 2,556 | 518 | 469 | 293 | 10 | 7 | 24 | 5 | 1,244 | 9 | 2 | 3 |
1,226 | 3,095 | 258 | 438 | 190 | 6 | 5 | 21 | 3 | 1,356 | 6 | 8 | 8 |
581 | 3,911 | 546 | 610 | 224 | 5 | 10 | 50 | 5 | 1,538 | 6 | 6 | 3 |
638 | 3,359 | 296 | 546 | 106 | 5 | 8 | 33 | 8 | 1,938 | 5 | 10 | 8 |
660 | 2,200 | 238 | 921 | 263 | 5 | 5 | 41 | 10 | 1,226 | 10 | 8 | 7 |
560 | 2,316 | 554 | 526 | 125 | 5 | 6 | 31 | 8 | 1,442 | 7 | 2 | 7 |
602 | 3,540 | 370 | 810 | 283 | 10 | 3 | 34 | 1 | 1,462 | 8 | 10 | 7 |
586 | 3,268 | 525 | 423 | 278 | 8 | 8 | 19 | 1 | 1,292 | 9 | 3 | 8 |
517 | 2,322 | 343 | 838 | 285 | 6 | 5 | 35 | 2 | 1,543 | 5 | 5 | 6 |
1,374 | 3,737 | 466 | 858 | 129 | 8 | 10 | 30 | 7 | 1,850 | 6 | 3 | 3 |
700 | 3,766 | 356 | 876 | 299 | 7 | 6 | 24 | 2 | 1,387 | 5 | 2 | 1 |
1,379 | 3,101 | 206 | 463 | 225 | 8 | 10 | 58 | 3 | 1,901 | 5 | 3 | 2 |
1,345 | 3,037 | 406 | 568 | 139 | 8 | 4 | 36 | 9 | 1,494 | 7 | 4 | 9 |
893 | 2,493 | 364 | 582 | 193 | 7 | 7 | 48 | 3 | 1,004 | 9 | 6 | 4 |
1,262 | 3,918 | 375 | 494 | 269 | 7 | 6 | 59 | 8 | 1,321 | 5 | 10 | 8 |
851 | 2,815 | 453 | 600 | 148 | 5 | 3 | 18 | 3 | 1,626 | 6 | 3 | 7 |
595 | 2,480 | 449 | 661 | 175 | 6 | 6 | 45 | 3 | 1,172 | 7 | 5 | 8 |
1,006 | 3,858 | 550 | 610 | 170 | 7 | 6 | 41 | 6 | 1,064 | 10 | 5 | 5 |
691 | 3,283 | 387 | 893 | 120 | 8 | 10 | 52 | 8 | 1,392 | 6 | 6 | 6 |
1,379 | 3,520 | 249 | 533 | 187 | 9 | 7 | 18 | 4 | 1,008 | 10 | 8 | 6 |
554 | 3,944 | 321 | 440 | 223 | 9 | 10 | 30 | 9 | 1,894 | 5 | 1 | 6 |
1,222 | 2,459 | 494 | 696 | 212 | 8 | 10 | 20 | 9 | 1,920 | 9 | 6 | 10 |
890 | 2,902 | 276 | 692 | 200 | 10 | 7 | 55 | 7 | 1,138 | 10 | 3 | 2 |
883 | 3,716 | 435 | 452 | 118 | 5 | 3 | 59 | 9 | 1,004 | 10 | 2 | 4 |
1,194 | 2,254 | 527 | 530 | 175 | 8 | 10 | 24 | 10 | 1,709 | 8 | 10 | 6 |
561 | 3,020 | 448 | 401 | 101 | 5 | 7 | 43 | 5 | 1,182 | 10 | 8 | 5 |
819 | 3,463 | 573 | 852 | 181 | 10 | 6 | 57 | 9 | 1,049 | 9 | 1 | 7 |
1,176 | 2,115 | 477 | 837 | 284 | 7 | 8 | 30 | 3 | 1,931 | 10 | 1 | 2 |
1,481 | 2,124 | 306 | 408 | 210 | 6 | 9 | 42 | 10 | 1,295 | 7 | 2 | 1 |
1,356 | 2,880 | 479 | 651 | 168 | 7 | 3 | 50 | 3 | 1,600 | 10 | 5 | 1 |
843 | 2,799 | 473 | 726 | 282 | 5 | 3 | 39 | 6 | 1,377 | 6 | 10 | 8 |
1,150 | 2,157 | 374 | 685 | 208 | 8 | 4 | 23 | 10 | 1,939 | 10 | 9 | 7 |
1,480 | 3,634 | 341 | 591 | 209 | 10 | 5 | 39 | 9 | 1,780 | 7 | 5 | 7 |
1,081 | 2,489 | 528 | 491 | 233 | 5 | 6 | 51 | 2 | 1,096 | 9 | 9 | 9 |
1,442 | 2,435 | 393 | 554 | 296 | 9 | 9 | 45 | 1 | 1,439 | 8 | 6 | 5 |
1,083 | 2,198 | 551 | 410 | 215 | 8 | 5 | 59 | 3 | 1,112 | 9 | 4 | 3 |
1,036 | 2,615 | 549 | 631 | 157 | 7 | 10 | 20 | 6 | 1,068 | 10 | 4 | 6 |
966 | 3,246 | 543 | 530 | 195 | 6 | 6 | 45 | 10 | 1,749 | 9 | 2 | 2 |
518 | 2,920 | 583 | 933 | 139 | 9 | 4 | 31 | 5 | 1,508 | 10 | 4 | 5 |
750 | 2,711 | 401 | 779 | 236 | 8 | 3 | 25 | 10 | 1,896 | 9 | 1 | 10 |
1,040 | 2,533 | 294 | 465 | 138 | 9 | 4 | 30 | 2 | 1,635 | 6 | 6 | 9 |
896 | 3,093 | 270 | 603 | 114 | 6 | 6 | 38 | 8 | 1,747 | 8 | 2 | 5 |
1,376 | 2,548 | 405 | 499 | 146 | 9 | 5 | 31 | 4 | 1,521 | 10 | 3 | 1 |
827 | 2,220 | 400 | 917 | 173 | 8 | 9 | 58 | 7 | 1,659 | 9 | 6 | 1 |
615 | 2,023 | 351 | 635 | 191 | 10 | 4 | 20 | 3 | 1,595 | 6 | 3 | 2 |
994 | 3,807 | 527 | 648 | 273 | 10 | 10 | 22 | 1 | 1,474 | 7 | 3 | 5 |
1,162 | 2,617 | 321 | 651 | 122 | 6 | 9 | 52 | 2 | 1,816 | 7 | 5 | 9 |
1,037 | 3,946 | 257 | 773 | 109 | 9 | 7 | 53 | 9 | 1,915 | 8 | 5 | 4 |
668 | 2,703 | 559 | 422 | 279 | 8 | 3 | 36 | 5 | 1,873 | 8 | 1 | 7 |
1,240 | 2,790 | 525 | 492 | 253 | 6 | 10 | 18 | 7 | 1,036 | 8 | 9 | 10 |
838 | 2,900 | 551 | 941 | 202 | 6 | 7 | 57 | 10 | 1,353 | 8 | 4 | 4 |
1,170 | 2,648 | 518 | 708 | 117 | 6 | 10 | 47 | 4 | 1,541 | 9 | 7 | 2 |
524 | 3,958 | 392 | 688 | 118 | 6 | 9 | 28 | 7 | 1,778 | 10 | 7 | 3 |
1,261 | 3,895 | 308 | 400 | 132 | 10 | 9 | 21 | 2 | 1,037 | 6 | 5 | 8 |
1,307 | 3,504 | 579 | 770 | 194 | 9 | 8 | 55 | 2 | 1,554 | 6 | 6 | 3 |
625 | 3,926 | 287 | 542 | 270 | 5 | 9 | 35 | 3 | 1,776 | 8 | 5 | 3 |
876 | 2,366 | 487 | 818 | 288 | 5 | 8 | 47 | 6 | 1,632 | 7 | 3 | 3 |
1,119 | 2,946 | 304 | 576 | 154 | 6 | 6 | 25 | 7 | 1,991 | 6 | 5 | 3 |
574 | 3,216 | 473 | 560 | 159 | 10 | 5 | 42 | 10 | 1,759 | 10 | 7 | 8 |
1,001 | 3,843 | 423 | 495 | 210 | 5 | 7 | 50 | 2 | 1,713 | 7 | 6 | 5 |
1,373 | 3,293 | 218 | 826 | 237 | 5 | 9 | 47 | 2 | 1,229 | 6 | 5 | 5 |
708 | 3,977 | 446 | 434 | 213 | 7 | 6 | 34 | 7 | 1,287 | 8 | 3 | 7 |
1,245 | 2,894 | 546 | 824 | 234 | 5 | 7 | 21 | 8 | 1,177 | 9 | 9 | 6 |
867 | 3,707 | 286 | 575 | 219 | 7 | 9 | 41 | 1 | 1,324 | 8 | 7 | 2 |
1,424 | 3,184 | 532 | 656 | 248 | 7 | 8 | 39 | 10 | 1,110 | 9 | 8 | 6 |
1,340 | 3,373 | 435 | 484 | 192 | 7 | 7 | 57 | 1 | 1,466 | 6 | 10 | 7 |
856 | 3,005 | 282 | 514 | 291 | 10 | 4 | 56 | 7 | 1,967 | 5 | 6 | 3 |
1,271 | 2,790 | 313 | 974 | 272 | 5 | 9 | 34 | 4 | 1,746 | 9 | 4 | 2 |
1,318 | 2,559 | 285 | 841 | 249 | 5 | 6 | 43 | 1 | 1,865 | 9 | 9 | 3 |
785 | 2,815 | 410 | 963 | 192 | 8 | 4 | 57 | 9 | 1,453 | 5 | 1 | 8 |
1,216 | 3,649 | 450 | 862 | 222 | 6 | 7 | 35 | 2 | 1,994 | 7 | 2 | 8 |
835 | 3,822 | 344 | 685 | 295 | 9 | 6 | 35 | 3 | 1,011 | 6 | 7 | 4 |
1,489 | 2,432 | 252 | 743 | 198 | 9 | 6 | 54 | 8 | 1,782 | 6 | 7 | 3 |
965 | 3,740 | 380 | 400 | 280 | 7 | 4 | 51 | 9 | 1,788 | 6 | 6 | 5 |
796 | 3,257 | 300 | 830 | 142 | 8 | 5 | 30 | 4 | 1,133 | 6 | 5 | 9 |
1,057 | 2,822 | 421 | 747 | 298 | 6 | 4 | 44 | 5 | 1,202 | 6 | 6 | 10 |
1,295 | 2,943 | 598 | 509 | 134 | 9 | 9 | 42 | 5 | 1,896 | 9 | 10 | 9 |
576 | 2,157 | 270 | 432 | 207 | 5 | 8 | 25 | 8 | 1,226 | 6 | 10 | 9 |
936 | 3,991 | 292 | 716 | 138 | 7 | 6 | 44 | 1 | 1,826 | 9 | 2 | 5 |
660 | 2,447 | 212 | 705 | 217 | 9 | 5 | 34 | 8 | 1,446 | 10 | 8 | 3 |
1,411 | 3,674 | 506 | 525 | 198 | 7 | 9 | 29 | 7 | 1,922 | 6 | 2 | 4 |
699 | 2,432 | 383 | 523 | 181 | 8 | 10 | 53 | 5 | 1,017 | 6 | 3 | 8 |
764 | 3,657 | 216 | 454 | 185 | 5 | 9 | 35 | 10 | 1,749 | 5 | 6 | 9 |
823 | 3,080 | 574 | 824 | 284 | 8 | 10 | 26 | 5 | 1,137 | 6 | 5 | 10 |
1,343 | 2,990 | 298 | 699 | 202 | 6 | 3 | 40 | 1 | 1,110 | 10 | 4 | 4 |
517 | 3,172 | 325 | 712 | 206 | 6 | 10 | 41 | 4 | 1,715 | 7 | 4 | 5 |
994 | 3,279 | 419 | 475 | 177 | 7 | 4 | 30 | 1 | 1,138 | 5 | 7 | 4 |
1,386 | 2,376 | 342 | 952 | 231 | 7 | 10 | 18 | 1 | 1,532 | 5 | 8 | 4 |
1,223 | 2,667 | 556 | 548 | 281 | 9 | 10 | 47 | 7 | 1,205 | 7 | 5 | 9 |
691 | 2,495 | 422 | 990 | 178 | 5 | 5 | 18 | 6 | 1,931 | 6 | 4 | 5 |
1,248 | 2,012 | 352 | 942 | 182 | 10 | 9 | 51 | 8 | 1,236 | 10 | 4 | 2 |
786 | 2,147 | 455 | 549 | 229 | 8 | 8 | 27 | 9 | 1,796 | 10 | 4 | 3 |
755 | 3,549 | 566 | 412 | 196 | 5 | 7 | 20 | 3 | 1,812 | 10 | 8 | 9 |
1,467 | 2,763 | 319 | 735 | 146 | 7 | 6 | 36 | 8 | 1,615 | 10 | 9 | 6 |
1,300 | 3,538 | 243 | 970 | 197 | 6 | 9 | 47 | 6 | 1,754 | 7 | 10 | 6 |
1,491 | 2,642 | 258 | 660 | 284 | 8 | 6 | 20 | 6 | 1,343 | 10 | 2 | 10 |
542 | 3,934 | 470 | 837 | 159 | 9 | 7 | 44 | 1 | 1,772 | 7 | 8 | 1 |
1,122 | 3,206 | 534 | 873 | 111 | 5 | 6 | 26 | 6 | 1,728 | 9 | 3 | 9 |
1,324 | 2,546 | 319 | 748 | 299 | 7 | 9 | 51 | 7 | 1,691 | 6 | 3 | 1 |
874 | 2,464 | 412 | 842 | 123 | 10 | 4 | 23 | 8 | 1,002 | 10 | 9 | 3 |
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