Datasets:

---

krishnaveni76

/

anime-userrating-data

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 12 new columns ({'favorites', 'overview', 'producers', 'studios', 'type', 'source', 'rank', 'episodes', 'members', 'popularity', 'scored by', 'licensors'}) and 2 missing columns ({'rating', 'user_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/krishnaveni76/anime-userrating-data/Animes.csv (at revision 073081b6fc6f957d400885a23d9dfb75f3577061)

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
              anime_id: int64
              genres: string
              name: string
              average_rating: string
              overview: string
              type: string
              episodes: string
              producers: string
              licensors: string
              studios: string
              source: string
              anime_rating: string
              rank: string
              popularity: int64
              favorites: int64
              scored by: string
              members: int64
              image url: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2337
              to
              {'user_id': Value(dtype='int64', id=None), 'anime_id': Value(dtype='int64', id=None), 'rating': Value(dtype='int64', id=None), 'genres': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'average_rating': Value(dtype='float64', id=None), 'anime_rating': Value(dtype='string', id=None), 'image url': Value(dtype='string', 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 1420, 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 1052, 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 12 new columns ({'favorites', 'overview', 'producers', 'studios', 'type', 'source', 'rank', 'episodes', 'members', 'popularity', 'scored by', 'licensors'}) and 2 missing columns ({'rating', 'user_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/krishnaveni76/anime-userrating-data/Animes.csv (at revision 073081b6fc6f957d400885a23d9dfb75f3577061)
              
              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)