Datasets:

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sleeping-ai

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yt-data

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Sleeping AI 11

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 8 new columns ({'video_id', 'like_count', 'license', 'youtube_link', 'channel_url', 'view_count', 'similarity_score', 'description'}) and 1 missing columns ({'youtube_results'}).

This happened while the json dataset builder was generating data using

hf://datasets/sleeping-ai/yt-data/yt_metadata.jsonl (at revision 8b4d8d64d1cecee2e0561b77f3963377d65da958)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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
              song_id: int64
              primary_artist: string
              song_title: string
              youtube_link: string
              similarity_score: double
              video_id: string
              channel_url: string
              license: string
              like_count: string
              view_count: string
              description: string
              to
              {'song_id': Value(dtype='int64', id=None), 'song_title': Value(dtype='string', id=None), 'primary_artist': Value(dtype='string', id=None), 'youtube_results': [{'title': Value(dtype='string', id=None), 'channel': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'similarity_score': Value(dtype='float64', 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 1433, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 8 new columns ({'video_id', 'like_count', 'license', 'youtube_link', 'channel_url', 'view_count', 'similarity_score', 'description'}) and 1 missing columns ({'youtube_results'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/sleeping-ai/yt-data/yt_metadata.jsonl (at revision 8b4d8d64d1cecee2e0561b77f3963377d65da958)
              
              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)