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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 5 new columns ({'group id', 'luminance score', 'aesthetic score', 'id', 'motion score'}) and 1 missing columns ({'duration'}).

This happened while the csv dataset builder was generating data using

hf://datasets/VideoDatasets/SpatialVID-RAW/metadata_short_duration.csv (at revision 94157acfcd7bc7da2b99b635df573f3f33c47b9b), ['hf://datasets/VideoDatasets/SpatialVID-RAW@94157acfcd7bc7da2b99b635df573f3f33c47b9b/metadata_long_duration.csv', 'hf://datasets/VideoDatasets/SpatialVID-RAW@94157acfcd7bc7da2b99b635df573f3f33c47b9b/metadata_short_duration.csv']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              group id: int64
              YouTube id: string
              timestamp_start: string
              timestamp_end: string
              fps: double
              aesthetic score: double
              luminance score: double
              motion score: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1368
              to
              {'YouTube id': Value('string'), 'timestamp_start': Value('string'), 'timestamp_end': Value('string'), 'fps': Value('float64'), 'duration': Value('float64')}
              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 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 5 new columns ({'group id', 'luminance score', 'aesthetic score', 'id', 'motion score'}) and 1 missing columns ({'duration'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/VideoDatasets/SpatialVID-RAW/metadata_short_duration.csv (at revision 94157acfcd7bc7da2b99b635df573f3f33c47b9b), ['hf://datasets/VideoDatasets/SpatialVID-RAW@94157acfcd7bc7da2b99b635df573f3f33c47b9b/metadata_long_duration.csv', 'hf://datasets/VideoDatasets/SpatialVID-RAW@94157acfcd7bc7da2b99b635df573f3f33c47b9b/metadata_short_duration.csv']
              
              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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YouTube id
string
timestamp_start
string
timestamp_end
string
fps
float64
duration
float64
--7SrUK4_sk
00:00:00.300
00:00:19.119
59.940063
18.819
--7SrUK4_sk
00:00:19.720
00:00:41.541
59.940063
21.821
--7SrUK4_sk
00:00:42.142
00:00:55.355
59.940063
13.213
--7SrUK4_sk
00:00:55.956
00:02:17.988
59.940063
82.032
--7SrUK4_sk
00:02:18.588
00:09:22.011
59.940063
423.423
--7SrUK4_sk
00:09:22.612
00:11:27.787
59.940063
125.175
--7SrUK4_sk
00:11:28.838
00:13:40.370
59.940063
131.532
--7SrUK4_sk
00:13:40.970
00:15:09.959
59.940063
88.989
--7SrUK4_sk
00:15:10.560
00:16:43.152
59.940063
92.592
--7SrUK4_sk
00:16:43.753
00:17:40.609
59.940063
56.856
--7SrUK4_sk
00:17:41.210
00:21:58.617
59.940063
257.407
--7SrUK4_sk
00:21:59.518
00:22:21.890
59.940063
22.372
--7SrUK4_sk
00:22:25.694
00:24:32.221
59.940063
126.527
--7SrUK4_sk
00:24:33.172
00:25:37.836
59.940063
64.664
--7SrUK4_sk
00:25:38.437
00:26:05.614
59.940063
27.177
--7SrUK4_sk
00:26:06.215
00:26:41.500
59.940063
35.285
--7SrUK4_sk
00:26:43.101
00:26:48.757
59.940063
5.656
--7SrUK4_sk
00:26:49.358
00:27:10.629
59.940063
21.271
--7SrUK4_sk
00:27:13.232
00:27:50.419
59.940063
37.187
--7SrUK4_sk
00:27:51.019
00:28:11.590
59.940063
20.571
--7SrUK4_sk
00:28:12.190
00:35:59.707
59.940063
467.517
--7SrUK4_sk
00:36:01.910
00:36:07.665
59.940063
5.755
--7SrUK4_sk
00:36:08.967
00:36:12.821
59.940063
3.854
--7SrUK4_sk
00:36:19.878
00:36:26.534
59.940063
6.656
--7SrUK4_sk
00:36:27.485
00:36:31.289
59.940063
3.804
--7SrUK4_sk
00:36:34.242
00:36:58.166
59.940063
23.924
--7SrUK4_sk
00:37:03.721
00:37:06.224
59.940063
2.503
--7SrUK4_sk
00:37:08.176
00:37:11.579
59.940063
3.403
--7SrUK4_sk
00:37:12.180
00:37:16.384
59.940063
4.204
--7SrUK4_sk
00:37:16.985
00:37:19.737
59.940063
2.752
--7SrUK4_sk
00:37:20.338
00:37:23.191
59.940063
2.853
--7SrUK4_sk
00:37:33.151
00:37:35.353
59.940063
2.202
--7SrUK4_sk
00:37:35.954
00:37:42.560
59.940063
6.606
--7SrUK4_sk
00:37:43.161
00:37:47.265
59.940063
4.104
--7SrUK4_sk
00:37:47.865
00:37:55.073
59.940063
7.208
--7SrUK4_sk
00:37:56.474
00:38:03.881
59.940063
7.407
--7SrUK4_sk
00:38:09.587
00:38:16.894
59.940063
7.307
--7SrUK4_sk
00:38:24.402
00:38:26.754
59.940063
2.352
--7SrUK4_sk
00:38:29.407
00:38:33.061
59.940063
3.654
--7SrUK4_sk
00:38:38.666
00:38:43.621
59.940063
4.955
--7SrUK4_sk
00:38:44.222
00:38:49.978
59.940063
5.756
--7SrUK4_sk
00:38:52.930
00:38:55.033
59.940063
2.103
--7SrUK4_sk
00:38:55.633
00:39:16.504
59.940063
20.871
--7SrUK4_sk
00:39:23.261
00:39:26.214
59.940063
2.953
--7SrUK4_sk
00:39:28.416
00:39:30.768
59.940063
2.352
--7SrUK4_sk
00:39:31.369
00:39:44.382
59.940063
13.013
--7SrUK4_sk
00:39:45.683
00:39:48.686
59.940063
3.003
--7SrUK4_sk
00:39:49.287
00:39:52.990
59.940063
3.703
--7SrUK4_sk
00:39:56.294
00:39:59.747
59.940063
3.453
--7SrUK4_sk
00:40:00.348
00:40:21.069
59.940063
20.721
--7SrUK4_sk
00:40:21.669
00:40:27.775
59.940063
6.106
--7SrUK4_sk
00:40:28.376
00:40:37.985
59.940063
9.609
--7SrUK4_sk
00:40:38.986
00:40:44.192
59.940063
5.206
--7SrUK4_sk
00:40:46.844
00:40:51.599
59.940063
4.755
--7SrUK4_sk
00:40:55.002
00:41:05.213
59.940063
10.211
--7SrUK4_sk
00:41:07.064
00:41:16.023
59.940063
8.959
--7SrUK4_sk
00:41:17.575
00:43:11.339
59.940063
113.764
--7SrUK4_sk
00:43:11.939
00:45:20.718
59.940063
128.779
--7SrUK4_sk
00:45:21.318
00:45:54.001
59.940063
32.683
--7SrUK4_sk
00:45:56.554
00:45:59.407
59.940063
2.853
--7SrUK4_sk
00:46:00.007
00:46:02.810
59.940063
2.803
--7SrUK4_sk
00:46:03.411
00:46:11.419
59.940063
8.008
--CYX1RExUM
00:00:00.300
00:05:14.614
29.97003
314.314
--CYX1RExUM
00:05:15.215
00:05:18.018
29.97003
2.803
--CYX1RExUM
00:05:20.520
00:05:23.023
29.97003
2.503
--CYX1RExUM
00:05:28.028
00:05:31.431
29.97003
3.403
--CYX1RExUM
00:05:32.032
00:05:41.441
29.97003
9.409
--CYX1RExUM
00:05:43.944
00:05:47.547
29.97003
3.603
--CYX1RExUM
00:05:50.450
00:05:59.059
29.97003
8.609
--CYX1RExUM
00:06:00.360
00:06:02.662
29.97003
2.302
--CYX1RExUM
00:06:10.470
00:06:13.773
29.97003
3.303
--CYX1RExUM
00:06:14.374
00:06:27.087
29.97003
12.713
--CYX1RExUM
00:06:27.687
00:06:30.690
29.97003
3.003
--CYX1RExUM
00:06:33.593
00:06:36.396
29.97003
2.803
--CYX1RExUM
00:06:41.101
00:06:45.305
29.97003
4.204
--CYX1RExUM
00:06:51.011
00:06:53.913
29.97003
2.902
--CYX1RExUM
00:06:54.514
00:06:58.918
29.97003
4.404
--CYX1RExUM
00:07:02.222
00:07:29.649
29.97003
27.427
--CYX1RExUM
00:07:30.250
00:07:33.053
29.97003
2.803
--CYX1RExUM
00:07:33.653
00:10:38.638
29.97003
184.985
--CYX1RExUM
00:10:39.239
00:10:44.844
29.97003
5.605
--CYX1RExUM
00:10:46.346
00:10:51.551
29.97003
5.205
--CYX1RExUM
00:10:52.152
00:10:55.655
29.97003
3.503
--CYX1RExUM
00:10:58.458
00:11:05.765
29.97003
7.307
--CYX1RExUM
00:11:06.366
00:11:10.570
29.97003
4.204
--CYX1RExUM
00:11:15.275
00:12:00.286
29.97003
45.011
--CYX1RExUM
00:12:02.121
00:13:04.484
29.97003
62.363
--CYX1RExUM
00:13:05.084
00:13:09.989
29.97003
4.905
--CYX1RExUM
00:13:10.590
00:13:31.210
29.97003
20.62
--CYX1RExUM
00:13:32.712
00:13:35.114
29.97003
2.402
--CYX1RExUM
00:13:37.116
00:13:45.224
29.97003
8.108
--CYX1RExUM
00:13:46.726
00:13:51.130
29.97003
4.404
--CYX1RExUM
00:13:57.437
00:14:02.542
29.97003
5.105
--CYX1RExUM
00:14:04.344
00:14:10.450
29.97003
6.106
--CYX1RExUM
00:14:11.050
00:17:51.871
29.97003
220.821
--CYX1RExUM
00:17:54.073
00:17:58.077
29.97003
4.004
--CYX1RExUM
00:18:00.379
00:18:33.913
29.97003
33.534
--CYX1RExUM
00:18:36.115
00:18:53.933
29.97003
17.818
--CYX1RExUM
00:18:56.936
00:22:14.333
29.97003
197.397
--CYX1RExUM
00:22:16.735
00:22:19.939
29.97003
3.204
End of preview.