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OKHand
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Amicus_AISHELL3

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
audio_path: string
text: string
duration: double
speaker_id: string
dataset: string
language: string
file_name: string
audio: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
to
{'audio': Audio(sampling_rate=None, decode=True, num_channels=None, stream_index=None), 'text': Value('string')}
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 272, 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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              audio_path: string
              text: string
              duration: double
              speaker_id: string
              dataset: string
              language: string
              file_name: string
              audio: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              to
              {'audio': Audio(sampling_rate=None, decode=True, num_channels=None, stream_index=None), 'text': Value('string')}
              because column names don't match

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Amicus_AISHELL3

Self-contained Amicus speech dataset packaged for Hugging Face audiofolder.

Splits

  • train: 59693 samples, 59.4776 hours
  • validation: 3569 samples, 3.6945 hours
  • test: 24751 samples, 22.4399 hours

Load with Hugging Face Datasets 

from datasets import load_dataset

ds = load_dataset("audiofolder", data_dir=".")
print(ds)
print(ds["train"][0]["audio"])

After uploading this folder to a dataset repository, replace data_dir="." with the dataset repo id if automatic builder detection works for your repository:

from datasets import load_dataset

ds = load_dataset("YOUR_NAMESPACE/Amicus_AISHELL3")

Use with Amicus

Download the whole dataset repository, including Git LFS files, then launch Amicus training from the downloaded dataset root so relative audio_path values resolve correctly.

huggingface-cli download YOUR_NAMESPACE/Amicus_AISHELL3 \
  --repo-type dataset \
  --local-dir data/Amicus_AISHELL3

cd data/Amicus_AISHELL3
python /path/to/Amicus/training/stage1/1_semantic_alignment.py \
  --train_data train.jsonl

Source

This dataset is based on AISHELL3, available from OpenSLR: https://www.openslr.org/93/

Citation

If you use this dataset, please cite the original AISHELL-3 paper:

@inproceedings{AISHELL-3_2020,
  title={AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines},
  author={Yao Shi, Hui Bu, Xin Xu, Shaoji Zhang, Ming Li},
  year={2015},
  url={https://arxiv.org/abs/2010.11567}
}
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Paper for OKHand/Amicus_AISHELL3