Datasets:

---

Listerrrr

/

reaction

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 ({'is_singing', 'rms_volume', 'pitch_mean', 'mfcc_mean', 'zero_crossing_rate'})

This happened while the json dataset builder was generating data using

hf://datasets/Listerrrr/reaction/reaction_pair/BV1DPmdYeE8g.json (at revision 0aa93da7b61e3bb18cca7e77a85f8bce0e4b0290)

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
              speaker: int64
              text: string
              start_time: int64
              end_time: int64
              rms_volume: int64
              mfcc_mean: list<item: int64>
                child 0, item: int64
              pitch_mean: int64
              zero_crossing_rate: int64
              is_singing: string
              author: string
              song_name: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1453
              to
              {'speaker': Value(dtype='int64', id=None), 'text': Value(dtype='string', id=None), 'start_time': Value(dtype='int64', id=None), 'end_time': Value(dtype='int64', id=None), 'author': Value(dtype='string', id=None), 'song_name': 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 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 5 new columns ({'is_singing', 'rms_volume', 'pitch_mean', 'mfcc_mean', 'zero_crossing_rate'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Listerrrr/reaction/reaction_pair/BV1DPmdYeE8g.json (at revision 0aa93da7b61e3bb18cca7e77a85f8bce0e4b0290)
              
              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)