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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 8 new columns ({'start', 'custom', 'channel', 'language', 'text', 'speaker', 'recording_id', 'gender'}) and 4 missing columns ({'num_samples', 'sources', 'channel_ids', 'sampling_rate'}).

This happened while the json dataset builder was generating data using

gzip://libritts_supervisions_train-clean-100.jsonl::hf://datasets/yfyeung/libritts-encodec@a34ff577d6d7c335f9f27dfa9168fcea10a4e1ce/data/manifests/libritts_supervisions_train-clean-100.jsonl.gz

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
              id: string
              recording_id: string
              start: double
              duration: double
              channel: int64
              text: string
              language: string
              speaker: string
              gender: string
              custom: struct<orig_text: string, snr: double>
                child 0, orig_text: string
                child 1, snr: double
              to
              {'id': Value(dtype='string', id=None), 'sources': [{'type': Value(dtype='string', id=None), 'channels': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'source': Value(dtype='string', id=None)}], 'sampling_rate': Value(dtype='int64', id=None), 'num_samples': Value(dtype='int64', id=None), 'duration': Value(dtype='float64', id=None), 'channel_ids': Sequence(feature=Value(dtype='int64', id=None), length=-1, 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 1412, 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 988, 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 8 new columns ({'start', 'custom', 'channel', 'language', 'text', 'speaker', 'recording_id', 'gender'}) and 4 missing columns ({'num_samples', 'sources', 'channel_ids', 'sampling_rate'}).
              
              This happened while the json dataset builder was generating data using
              
              gzip://libritts_supervisions_train-clean-100.jsonl::hf://datasets/yfyeung/libritts-encodec@a34ff577d6d7c335f9f27dfa9168fcea10a4e1ce/data/manifests/libritts_supervisions_train-clean-100.jsonl.gz
              
              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.

id
string
sources
list
sampling_rate
int64
num_samples
int64
duration
float64
channel_ids
sequence
4830_25898_000007_000000
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24,000
207,600
8.65
[ 0 ]
4830_25898_000021_000001
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24,000
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4830_25898_000019_000003
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4830_25898_000015_000000
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24,000
282,720
11.78
[ 0 ]
4830_25898_000021_000005
[ { "type": "file", "channels": [ 0 ], "source": "/scratch/valle/egs/libritts/download/LibriTTS/train-clean-100/4830/25898/4830_25898_000021_000005.wav" } ]
24,000
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[ 0 ]
4830_25898_000021_000000
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24,000
223,680
9.32
[ 0 ]
4830_25898_000023_000001
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24,000
182,161
7.590042
[ 0 ]
4830_25898_000006_000004
[ { "type": "file", "channels": [ 0 ], "source": "/scratch/valle/egs/libritts/download/LibriTTS/train-clean-100/4830/25898/4830_25898_000006_000004.wav" } ]
24,000
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4830_25898_000020_000000
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4830_25898_000006_000002
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4830_25898_000009_000000
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24,000
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11.09
[ 0 ]
4830_25898_000006_000001
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24,000
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[ 0 ]
4830_25898_000009_000001
[ { "type": "file", "channels": [ 0 ], "source": "/scratch/valle/egs/libritts/download/LibriTTS/train-clean-100/4830/25898/4830_25898_000009_000001.wav" } ]
24,000
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4830_25898_000033_000001
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24,000
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5.090042
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4830_25898_000022_000000
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24,000
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4830_25898_000021_000006
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24,000
199,680
8.32
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4830_25898_000027_000000
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24,000
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7.469958
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4830_25898_000006_000005
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24,000
214,080
8.92
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4830_25898_000028_000000
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24,000
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4830_25898_000005_000000
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4830_25898_000018_000003
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4830_25898_000009_000002
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4830_25898_000011_000000
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4830_25898_000030_000002
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4830_25898_000016_000000
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24,000
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4830_25898_000021_000003
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4830_25898_000018_000004
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4830_25898_000019_000000
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24,000
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4830_25898_000020_000001
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4830_25898_000036_000002
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4830_25898_000037_000003
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4830_25898_000024_000001
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4830_25898_000021_000004
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4830_25898_000028_000004
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4830_25898_000006_000003
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4830_25898_000018_000001
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4830_25898_000036_000000
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4830_25904_000007_000002
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4830_25904_000010_000003
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4830_25904_000014_000003
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24,000
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4830_25904_000006_000002
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24,000
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13.36
[ 0 ]
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24,000
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[ 0 ]
4830_25904_000009_000001
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24,000
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7.82
[ 0 ]
4830_25904_000012_000008
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24,000
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4830_25904_000013_000002
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24,000
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24,000
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