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Error code: StreamingRowsError Exception: CastError Message: Couldn't cast audio: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string rttm: string episode_name: string -- schema metadata -- huggingface: '{"info": {"features": {"audio": {"_type": "Audio"}, "rttm":' + 96 to {'audio': Audio(sampling_rate=None, mono=True, decode=True, id=None), 'rttm': Value(dtype='string', id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 77, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__ for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 71, in _cast_table pa_table = table_cast(pa_table, self.info.features.arrow_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 audio: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string rttm: string episode_name: string -- schema metadata -- huggingface: '{"info": {"features": {"audio": {"_type": "Audio"}, "rttm":' + 96 to {'audio': Audio(sampling_rate=None, mono=True, decode=True, id=None), 'rttm': Value(dtype='string', id=None)} because column names don't match
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What is this?
This is a dataset extracted from brazilian cartoon called Fudêncio (by MTV), which is somehow similar to South Park.
This dataset has three features
rttm string ( to identify speakers ), episode_name ( for reference ) and the audio voicelines Acapella made using Demucs (no_voice files are not included)
The separation of Demucs is not perfect, but can help people to train RVC voices for different characters.
Plan to future upgrades
I plan to use this later to split voicelines by characters names into another dataset.
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