Datasets:

ConquestAce

/

spotify-songs

like 0

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 ({'artists', 'album_name', 'track_genre', 'track_name', 'index'}) and 4 missing columns ({'genre', 'album', 'artist', 'name'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ConquestAce/spotify-songs/dataset.csv (at revision d7c525ee10d2d867c6d4007643d9425a6befd4d4)

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
              index: int64
              track_id: string
              artists: string
              album_name: string
              track_name: string
              popularity: int64
              duration_ms: int64
              explicit: bool
              danceability: double
              energy: double
              key: int64
              loudness: double
              mode: int64
              speechiness: double
              acousticness: double
              instrumentalness: double
              liveness: double
              valence: double
              tempo: double
              time_signature: int64
              track_genre: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2721
              to
              {'track_id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'artist': Value(dtype='string', id=None), 'album': Value(dtype='string', id=None), 'duration_ms': Value(dtype='int64', id=None), 'genre': Value(dtype='string', id=None), 'acousticness': Value(dtype='float64', id=None), 'danceability': Value(dtype='float64', id=None), 'energy': Value(dtype='float64', id=None), 'instrumentalness': Value(dtype='float64', id=None), 'liveness': Value(dtype='float64', id=None), 'loudness': Value(dtype='float64', id=None), 'speechiness': Value(dtype='float64', id=None), 'tempo': Value(dtype='float64', id=None), 'valence': Value(dtype='float64', id=None), 'mode': Value(dtype='int64', id=None), 'key': Value(dtype='int64', id=None), 'time_signature': Value(dtype='int64', id=None), 'popularity': Value(dtype='int64', id=None), 'explicit': Value(dtype='bool', 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 1417, 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 1049, 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 1000, 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 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 5 new columns ({'artists', 'album_name', 'track_genre', 'track_name', 'index'}) and 4 missing columns ({'genre', 'album', 'artist', 'name'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ConquestAce/spotify-songs/dataset.csv (at revision d7c525ee10d2d867c6d4007643d9425a6befd4d4)
              
              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)