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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 14 new columns ({'meaning_current_streak', 'reading_max_streak', 'percentage_correct', 'meaning_max_streak', 'meaning_correct', 'reading_correct', 'data_updated_at', 'hidden', 'review_id', 'reading_current_streak', 'meaning_incorrect', 'subject_id', 'subject_type', 'reading_incorrect'}) and 6 missing columns ({'passed_at', 'unlocked_at', 'completed_at', 'level', 'started_at', 'abandoned_at'}).

This happened while the csv dataset builder was generating data using

hf://datasets/osbm/wanikani-logs/reviews/2023-07-19_reviews.csv (at revision 205174112ea22504571756caed25e53c57fb16a0)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              review_id: int64
              created_at: string
              data_updated_at: string
              subject_type: string
              subject_id: int64
              hidden: bool
              percentage_correct: int64
              meaning_correct: int64
              meaning_current_streak: int64
              meaning_incorrect: int64
              meaning_max_streak: int64
              reading_correct: double
              reading_current_streak: double
              reading_incorrect: double
              reading_max_streak: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2187
              to
              {'level': Value(dtype='int64', id=None), 'created_at': Value(dtype='string', id=None), 'unlocked_at': Value(dtype='string', id=None), 'started_at': Value(dtype='string', id=None), 'passed_at': Value(dtype='string', id=None), 'completed_at': Value(dtype='float64', id=None), 'abandoned_at': 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 14 new columns ({'meaning_current_streak', 'reading_max_streak', 'percentage_correct', 'meaning_max_streak', 'meaning_correct', 'reading_correct', 'data_updated_at', 'hidden', 'review_id', 'reading_current_streak', 'meaning_incorrect', 'subject_id', 'subject_type', 'reading_incorrect'}) and 6 missing columns ({'passed_at', 'unlocked_at', 'completed_at', 'level', 'started_at', 'abandoned_at'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/osbm/wanikani-logs/reviews/2023-07-19_reviews.csv (at revision 205174112ea22504571756caed25e53c57fb16a0)
              
              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.

level
int64
created_at
string
unlocked_at
string
started_at
string
passed_at
string
completed_at
null
abandoned_at
null
1
2023-07-11T16:37:33.768630Z
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2
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null
4
2023-08-14T20:37:34.810362Z
2023-08-14T20:37:34.807235Z
2023-08-18T13:30:38.837371Z
null
null
null
1
2023-07-11T16:37:33.768630Z
2023-07-11T16:37:33.767950Z
2023-07-11T16:47:06.159772Z
2023-07-17T18:45:45.844510Z
null
null
2
2023-07-17T18:45:45.892363Z
2023-07-17T18:45:45.889226Z
2023-07-17T21:35:15.792893Z
2023-07-29T11:33:01.987761Z
null
null
3
2023-07-29T11:33:02.021994Z
2023-07-29T11:33:02.018835Z
2023-07-29T12:56:42.762659Z
2023-08-14T20:37:34.770672Z
null
null
4
2023-08-14T20:37:34.810362Z
2023-08-14T20:37:34.807235Z
2023-08-18T13:30:38.837371Z
null
null
null
1
2023-07-11T16:37:33.768630Z
2023-07-11T16:37:33.767950Z
2023-07-11T16:47:06.159772Z
2023-07-17T18:45:45.844510Z
null
null
2
2023-07-17T18:45:45.892363Z
2023-07-17T18:45:45.889226Z
2023-07-17T21:35:15.792893Z
2023-07-29T11:33:01.987761Z
null
null
3
2023-07-29T11:33:02.021994Z
2023-07-29T11:33:02.018835Z
2023-07-29T12:56:42.762659Z
2023-08-14T20:37:34.770672Z
null
null
4
2023-08-14T20:37:34.810362Z
2023-08-14T20:37:34.807235Z
2023-08-18T13:30:38.837371Z
null
null
null
1
2023-07-11T16:37:33.768630Z
2023-07-11T16:37:33.767950Z
2023-07-11T16:47:06.159772Z
2023-07-17T18:45:45.844510Z
null
null
2
2023-07-17T18:45:45.892363Z
2023-07-17T18:45:45.889226Z
2023-07-17T21:35:15.792893Z
2023-07-29T11:33:01.987761Z
null
null
3
2023-07-29T11:33:02.021994Z
2023-07-29T11:33:02.018835Z
2023-07-29T12:56:42.762659Z
2023-08-14T20:37:34.770672Z
null
null
4
2023-08-14T20:37:34.810362Z
2023-08-14T20:37:34.807235Z
2023-08-18T13:30:38.837371Z
null
null
null
1
2023-07-11T16:37:33.768630Z
2023-07-11T16:37:33.767950Z
2023-07-11T16:47:06.159772Z
2023-07-17T18:45:45.844510Z
null
null
2
2023-07-17T18:45:45.892363Z
2023-07-17T18:45:45.889226Z
2023-07-17T21:35:15.792893Z
2023-07-29T11:33:01.987761Z
null
null
3
2023-07-29T11:33:02.021994Z
2023-07-29T11:33:02.018835Z
2023-07-29T12:56:42.762659Z
2023-08-14T20:37:34.770672Z
null
null
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