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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 4 new columns ({'movie_id', 'title', 'cast', 'crew'}) and 4 missing columns ({'timestamp', 'userId', 'rating', 'movieId'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mhdiqbalpradipta/movie/tmdb_credits.csv (at revision 69803d07df5ec44266a27ca3f2e8e705bd91d902)
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 1869, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
movie_id: int64
title: string
cast: string
crew: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 701
to
{'userId': Value(dtype='int64', id=None), 'movieId': Value(dtype='int64', id=None), 'rating': Value(dtype='float64', id=None), 'timestamp': 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 1392, 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 1041, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, 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 1740, 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 1871, 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 4 new columns ({'movie_id', 'title', 'cast', 'crew'}) and 4 missing columns ({'timestamp', 'userId', 'rating', 'movieId'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mhdiqbalpradipta/movie/tmdb_credits.csv (at revision 69803d07df5ec44266a27ca3f2e8e705bd91d902)
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.
userId
int64 | movieId
int64 | rating
float64 | timestamp
int64 |
|---|---|---|---|
1 | 31 | 2.5 | 1,260,759,144 |
1 | 1,029 | 3 | 1,260,759,179 |
1 | 1,061 | 3 | 1,260,759,182 |
1 | 1,129 | 2 | 1,260,759,185 |
1 | 1,172 | 4 | 1,260,759,205 |
1 | 1,263 | 2 | 1,260,759,151 |
1 | 1,287 | 2 | 1,260,759,187 |
1 | 1,293 | 2 | 1,260,759,148 |
1 | 1,339 | 3.5 | 1,260,759,125 |
1 | 1,343 | 2 | 1,260,759,131 |
1 | 1,371 | 2.5 | 1,260,759,135 |
1 | 1,405 | 1 | 1,260,759,203 |
1 | 1,953 | 4 | 1,260,759,191 |
1 | 2,105 | 4 | 1,260,759,139 |
1 | 2,150 | 3 | 1,260,759,194 |
1 | 2,193 | 2 | 1,260,759,198 |
1 | 2,294 | 2 | 1,260,759,108 |
1 | 2,455 | 2.5 | 1,260,759,113 |
1 | 2,968 | 1 | 1,260,759,200 |
1 | 3,671 | 3 | 1,260,759,117 |
2 | 10 | 4 | 835,355,493 |
2 | 17 | 5 | 835,355,681 |
2 | 39 | 5 | 835,355,604 |
2 | 47 | 4 | 835,355,552 |
2 | 50 | 4 | 835,355,586 |
2 | 52 | 3 | 835,356,031 |
2 | 62 | 3 | 835,355,749 |
2 | 110 | 4 | 835,355,532 |
2 | 144 | 3 | 835,356,016 |
2 | 150 | 5 | 835,355,395 |
2 | 153 | 4 | 835,355,441 |
2 | 161 | 3 | 835,355,493 |
2 | 165 | 3 | 835,355,441 |
2 | 168 | 3 | 835,355,710 |
2 | 185 | 3 | 835,355,511 |
2 | 186 | 3 | 835,355,664 |
2 | 208 | 3 | 835,355,511 |
2 | 222 | 5 | 835,355,840 |
2 | 223 | 1 | 835,355,749 |
2 | 225 | 3 | 835,355,552 |
2 | 235 | 3 | 835,355,664 |
2 | 248 | 3 | 835,355,896 |
2 | 253 | 4 | 835,355,511 |
2 | 261 | 4 | 835,355,681 |
2 | 265 | 5 | 835,355,697 |
2 | 266 | 5 | 835,355,586 |
2 | 272 | 3 | 835,355,767 |
2 | 273 | 4 | 835,355,779 |
2 | 292 | 3 | 835,355,492 |
2 | 296 | 4 | 835,355,395 |
2 | 300 | 3 | 835,355,532 |
2 | 314 | 4 | 835,356,044 |
2 | 317 | 2 | 835,355,551 |
2 | 319 | 1 | 835,355,918 |
2 | 339 | 3 | 835,355,492 |
2 | 349 | 4 | 835,355,441 |
2 | 350 | 4 | 835,355,697 |
2 | 356 | 3 | 835,355,628 |
2 | 357 | 3 | 835,355,749 |
2 | 364 | 3 | 835,355,604 |
2 | 367 | 3 | 835,355,619 |
2 | 370 | 2 | 835,355,932 |
2 | 371 | 3 | 835,355,968 |
2 | 372 | 3 | 835,356,094 |
2 | 377 | 3 | 835,355,710 |
2 | 382 | 3 | 835,356,165 |
2 | 405 | 2 | 835,356,246 |
2 | 410 | 3 | 835,355,532 |
2 | 454 | 4 | 835,355,604 |
2 | 457 | 3 | 835,355,511 |
2 | 468 | 4 | 835,355,790 |
2 | 474 | 2 | 835,355,828 |
2 | 480 | 4 | 835,355,643 |
2 | 485 | 3 | 835,355,918 |
2 | 497 | 3 | 835,355,880 |
2 | 500 | 4 | 835,355,731 |
2 | 508 | 4 | 835,355,860 |
2 | 509 | 4 | 835,355,719 |
2 | 515 | 4 | 835,355,817 |
2 | 527 | 4 | 835,355,731 |
2 | 537 | 4 | 835,356,199 |
2 | 539 | 3 | 835,355,767 |
2 | 550 | 3 | 835,356,109 |
2 | 551 | 5 | 835,355,767 |
2 | 552 | 3 | 835,355,860 |
2 | 585 | 5 | 835,355,817 |
2 | 586 | 3 | 835,355,790 |
2 | 587 | 3 | 835,355,779 |
2 | 588 | 3 | 835,355,441 |
2 | 589 | 5 | 835,355,697 |
2 | 590 | 5 | 835,355,395 |
2 | 592 | 5 | 835,355,395 |
2 | 593 | 3 | 835,355,511 |
2 | 616 | 3 | 835,355,932 |
2 | 661 | 4 | 835,356,141 |
2 | 720 | 4 | 835,355,978 |
3 | 60 | 3 | 1,298,861,675 |
3 | 110 | 4 | 1,298,922,049 |
3 | 247 | 3.5 | 1,298,861,637 |
3 | 267 | 3 | 1,298,861,761 |
End of preview.
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