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ivrit-ai

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audio-v2-40s

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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 ({'format', 'file_order', 'total_files', 'shards', 'total_shards'}) and 8 missing columns ({'doc_id', 'audio_filepath', 'end_time', 'duration', 'text', 'start_time', 'segment_count', 'extra_data'}).

This happened while the json dataset builder was generating data using

hf://datasets/ivrit-ai/audio-v2-40s/shard_index.json (at revision 486e3d230a955d04051812c902291ec07852d625), [/tmp/hf-datasets-cache/medium/datasets/83372465788435-config-parquet-and-info-ivrit-ai-audio-v2-40s-774126e4/hub/datasets--ivrit-ai--audio-v2-40s/snapshots/486e3d230a955d04051812c902291ec07852d625/manifest.jsonl (origin=hf://datasets/ivrit-ai/audio-v2-40s@486e3d230a955d04051812c902291ec07852d625/manifest.jsonl), /tmp/hf-datasets-cache/medium/datasets/83372465788435-config-parquet-and-info-ivrit-ai-audio-v2-40s-774126e4/hub/datasets--ivrit-ai--audio-v2-40s/snapshots/486e3d230a955d04051812c902291ec07852d625/shard_index.json (origin=hf://datasets/ivrit-ai/audio-v2-40s@486e3d230a955d04051812c902291ec07852d625/shard_index.json)]

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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              format: string
              total_shards: int64
              total_files: int64
              file_order: string
              shards: list<item: struct<name: string, count: int64, first_file: string, last_file: string>>
                child 0, item: struct<name: string, count: int64, first_file: string, last_file: string>
                    child 0, name: string
                    child 1, count: int64
                    child 2, first_file: string
                    child 3, last_file: string
              to
              {'audio_filepath': Value('string'), 'text': Value('string'), 'duration': Value('float64'), 'start_time': Value('float64'), 'end_time': Value('float64'), 'doc_id': Value('int64'), 'segment_count': Value('int64'), 'extra_data': {'source': Value('string'), 'episode': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, 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 ({'format', 'file_order', 'total_files', 'shards', 'total_shards'}) and 8 missing columns ({'doc_id', 'audio_filepath', 'end_time', 'duration', 'text', 'start_time', 'segment_count', 'extra_data'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ivrit-ai/audio-v2-40s/shard_index.json (at revision 486e3d230a955d04051812c902291ec07852d625), [/tmp/hf-datasets-cache/medium/datasets/83372465788435-config-parquet-and-info-ivrit-ai-audio-v2-40s-774126e4/hub/datasets--ivrit-ai--audio-v2-40s/snapshots/486e3d230a955d04051812c902291ec07852d625/manifest.jsonl (origin=hf://datasets/ivrit-ai/audio-v2-40s@486e3d230a955d04051812c902291ec07852d625/manifest.jsonl), /tmp/hf-datasets-cache/medium/datasets/83372465788435-config-parquet-and-info-ivrit-ai-audio-v2-40s-774126e4/hub/datasets--ivrit-ai--audio-v2-40s/snapshots/486e3d230a955d04051812c902291ec07852d625/shard_index.json (origin=hf://datasets/ivrit-ai/audio-v2-40s@486e3d230a955d04051812c902291ec07852d625/shard_index.json)]
              
              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)