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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
|
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