Datasets:

---

niveetha

/

ReadifyDataset

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 24 new columns ({'playlist_subgenre', 'track_popularity', 'track_album_id', 'duration_ms', 'energy', 'playlist_genre', 'track_artist', 'lyrics', 'liveness', 'acousticness', 'track_album_name', 'speechiness', 'loudness', 'valence', 'track_album_release_date', 'track_name', 'playlist_id', 'key', 'danceability', 'track_id', 'instrumentalness', 'mode', 'tempo', 'playlist_name'}) and 19 missing columns ({'url', 'format', 'series_title', 'genres', 'current_readers', 'description', 'rating_score', 'num_pages', 'Unnamed: 0', 'num_ratings', 'authors', 'isbn', 'series_release_number', 'title', 'price', 'publication_date', 'want_to_read', 'publisher', 'num_reviews'}).

This happened while the csv dataset builder was generating data using

hf://datasets/niveetha/ReadifyDataset/spotify_songs (1).csv (at revision 71f38a319540a964a8f567a76938036e5ed81010), ['hf://datasets/niveetha/ReadifyDataset@71f38a319540a964a8f567a76938036e5ed81010/goodreads_top100_from1980to2023_final.csv', 'hf://datasets/niveetha/ReadifyDataset@71f38a319540a964a8f567a76938036e5ed81010/spotify_songs (1).csv', 'hf://datasets/niveetha/ReadifyDataset@71f38a319540a964a8f567a76938036e5ed81010/spotify_songs.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 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, 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 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              track_id: string
              track_name: string
              track_artist: string
              lyrics: string
              track_popularity: int64
              track_album_id: string
              track_album_name: string
              track_album_release_date: string
              playlist_name: string
              playlist_id: string
              playlist_genre: string
              playlist_subgenre: string
              danceability: double
              energy: double
              key: int64
              loudness: double
              mode: int64
              speechiness: double
              acousticness: double
              instrumentalness: double
              liveness: double
              valence: double
              tempo: double
              duration_ms: int64
              language: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3322
              to
              {'Unnamed: 0': Value('int64'), 'isbn': Value('string'), 'title': Value('string'), 'series_title': Value('string'), 'series_release_number': Value('string'), 'authors': Value('string'), 'publisher': Value('string'), 'language': Value('string'), 'description': Value('string'), 'num_pages': Value('string'), 'format': Value('string'), 'genres': Value('string'), 'publication_date': Value('string'), 'rating_score': Value('float64'), 'num_ratings': Value('float64'), 'num_reviews': Value('float64'), 'current_readers': Value('float64'), 'want_to_read': Value('float64'), 'price': Value('float64'), 'url': Value('string')}
              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 1369, 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 948, 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 1694, 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 1850, 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 24 new columns ({'playlist_subgenre', 'track_popularity', 'track_album_id', 'duration_ms', 'energy', 'playlist_genre', 'track_artist', 'lyrics', 'liveness', 'acousticness', 'track_album_name', 'speechiness', 'loudness', 'valence', 'track_album_release_date', 'track_name', 'playlist_id', 'key', 'danceability', 'track_id', 'instrumentalness', 'mode', 'tempo', 'playlist_name'}) and 19 missing columns ({'url', 'format', 'series_title', 'genres', 'current_readers', 'description', 'rating_score', 'num_pages', 'Unnamed: 0', 'num_ratings', 'authors', 'isbn', 'series_release_number', 'title', 'price', 'publication_date', 'want_to_read', 'publisher', 'num_reviews'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/niveetha/ReadifyDataset/spotify_songs (1).csv (at revision 71f38a319540a964a8f567a76938036e5ed81010), ['hf://datasets/niveetha/ReadifyDataset@71f38a319540a964a8f567a76938036e5ed81010/goodreads_top100_from1980to2023_final.csv', 'hf://datasets/niveetha/ReadifyDataset@71f38a319540a964a8f567a76938036e5ed81010/spotify_songs (1).csv', 'hf://datasets/niveetha/ReadifyDataset@71f38a319540a964a8f567a76938036e5ed81010/spotify_songs.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)