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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)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.
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.