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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 15 new columns ({'POINTS_DE_VIE', 'NumeroWin', 'POINT_DEFENSE_SPECIALE', 'POINTS_DEFFENCE', 'POINTS_VITESSE', 'NOMBRE_GENERATIONS', 'TYPE_1', 'POINTS_ATTAQUE', 'POINTS_ATTAQUE_SPECIALE', 'TYPE_2', 'NUMERO', 'Taux de victoire', 'NOM', 'NumeroBittle', 'LEGENDAIRE'}) and 3 missing columns ({'Second_pokemon', 'First_pokemon', 'Winner'}).
This happened while the csv dataset builder was generating data using
hf://datasets/GGBooond/Pokemon/dataset.csv (at revision e4735af2f90a8e68cd7e17691cc38d89cc01b680)
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
NUMERO: int64
NOM: string
TYPE_1: string
TYPE_2: string
POINTS_DE_VIE: int64
POINTS_ATTAQUE: int64
POINTS_DEFFENCE: int64
POINTS_ATTAQUE_SPECIALE: int64
POINT_DEFENSE_SPECIALE: int64
POINTS_VITESSE: int64
NOMBRE_GENERATIONS: int64
LEGENDAIRE: int64
NumeroBittle: int64
NumeroWin: int64
Taux de victoire: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2103
to
{'First_pokemon': Value('int64'), 'Second_pokemon': Value('int64'), 'Winner': 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 15 new columns ({'POINTS_DE_VIE', 'NumeroWin', 'POINT_DEFENSE_SPECIALE', 'POINTS_DEFFENCE', 'POINTS_VITESSE', 'NOMBRE_GENERATIONS', 'TYPE_1', 'POINTS_ATTAQUE', 'POINTS_ATTAQUE_SPECIALE', 'TYPE_2', 'NUMERO', 'Taux de victoire', 'NOM', 'NumeroBittle', 'LEGENDAIRE'}) and 3 missing columns ({'Second_pokemon', 'First_pokemon', 'Winner'}).
This happened while the csv dataset builder was generating data using
hf://datasets/GGBooond/Pokemon/dataset.csv (at revision e4735af2f90a8e68cd7e17691cc38d89cc01b680)
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.
First_pokemon
int64 | Second_pokemon
int64 | Winner
int64 |
|---|---|---|
266
| 298
| 298
|
702
| 701
| 701
|
191
| 668
| 668
|
237
| 683
| 683
|
151
| 231
| 151
|
657
| 752
| 657
|
192
| 134
| 134
|
73
| 545
| 545
|
220
| 763
| 763
|
302
| 31
| 31
|
442
| 130
| 130
|
701
| 624
| 701
|
15
| 283
| 283
|
151
| 87
| 151
|
269
| 462
| 269
|
763
| 448
| 448
|
143
| 263
| 263
|
365
| 240
| 240
|
499
| 774
| 499
|
563
| 578
| 563
|
440
| 687
| 687
|
373
| 441
| 441
|
654
| 671
| 671
|
121
| 355
| 121
|
609
| 649
| 649
|
270
| 708
| 270
|
460
| 568
| 568
|
626
| 767
| 767
|
139
| 451
| 139
|
694
| 747
| 694
|
455
| 549
| 549
|
181
| 301
| 301
|
208
| 184
| 184
|
536
| 365
| 536
|
260
| 381
| 381
|
471
| 269
| 269
|
621
| 287
| 287
|
406
| 134
| 406
|
592
| 503
| 503
|
564
| 242
| 242
|
579
| 242
| 242
|
200
| 719
| 200
|
376
| 135
| 376
|
76
| 441
| 441
|
667
| 645
| 645
|
475
| 400
| 475
|
3
| 737
| 737
|
435
| 45
| 435
|
231
| 146
| 146
|
510
| 715
| 715
|
456
| 260
| 260
|
164
| 751
| 751
|
424
| 754
| 424
|
258
| 779
| 258
|
360
| 208
| 208
|
723
| 646
| 646
|
384
| 533
| 533
|
734
| 673
| 673
|
141
| 721
| 141
|
244
| 741
| 244
|
509
| 217
| 509
|
633
| 44
| 633
|
595
| 719
| 595
|
606
| 40
| 606
|
368
| 598
| 368
|
746
| 584
| 746
|
350
| 187
| 350
|
303
| 198
| 303
|
169
| 701
| 701
|
569
| 115
| 115
|
231
| 172
| 172
|
71
| 440
| 71
|
659
| 610
| 610
|
570
| 557
| 557
|
712
| 40
| 712
|
451
| 352
| 451
|
661
| 95
| 95
|
540
| 4
| 540
|
130
| 319
| 130
|
125
| 418
| 418
|
309
| 276
| 276
|
579
| 612
| 612
|
716
| 80
| 80
|
482
| 535
| 535
|
376
| 37
| 37
|
6
| 328
| 328
|
343
| 159
| 159
|
509
| 574
| 574
|
546
| 530
| 546
|
486
| 229
| 229
|
686
| 213
| 213
|
304
| 386
| 386
|
514
| 732
| 732
|
161
| 757
| 161
|
150
| 265
| 265
|
436
| 701
| 701
|
221
| 265
| 265
|
436
| 603
| 603
|
242
| 365
| 242
|
792
| 251
| 792
|
End of preview.