MUSAN: A Music, Speech, and Noise Corpus
Paper • 1510.08484 • Published
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
TXT string | __key__ string | __url__ string |
|---|---|---|
LibriSpeech (c) 2014 by Vassil Panayotov
LibriSpeech ASR corpus is licensed under a
Creative Commons Attribution 4.0 International License.
See <http://creativecommons.org/licenses/by/4.0/>.
| LibriSpeech/LICENSE | hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar.gz |
1. General information
======================
LibriSpeech is a corpus of read speech, based on LibriVox's public domain
audio books. Its purpose is to enable the training and testing of automatic
speech recognition(ASR) systems.
2. Structure
============
The corpus is split into several parts to enable users to se... | LibriSpeech/README | hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar.gz |
"; Some pipe(|) separated metadata about the audio chapters included in the corpus.\n;\n; The meanin(...TRUNCATED) | LibriSpeech/CHAPTERS | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
"; Some pipe(|) separated metadata about all LibriVox readers, whose work was used\n; in the corpus.(...TRUNCATED) | LibriSpeech/SPEAKERS | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
"1 | United States Declaration of Independence | \n11 | Alice's Adventures in Wond(...TRUNCATED) | LibriSpeech/BOOKS | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
null | LibriSpeech/train-clean-100/374/180298/374-180298-0021 | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
null | LibriSpeech/train-clean-100/374/180298/374-180298-0038 | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
null | LibriSpeech/train-clean-100/374/180298/374-180298-0022 | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
null | LibriSpeech/train-clean-100/374/180298/374-180298-0044 | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
null | LibriSpeech/train-clean-100/374/180298/374-180298-0006 | "hf://datasets/Emulated-Inc/enhancement@e4272bcb5f7757fae1fd1f58267f19c6ffe8c860/train-clean-100.tar(...TRUNCATED) |
End of preview.
LibriSpeech train-clean-100 and dev-clean, MUSAN and RIRS_NOISES (archive mirror)
This repository is a mirror for reproducible builds: the files are exact copies of the published originals listed below (byte for byte; SHA256SUMS gives the SHA-256 of each). Please cite and credit the original authors.
Contents
Four archives, unchanged, as published on OpenSLR:
train-clean-100.tar.gzanddev-clean.tar.gz: the train-clean-100 and dev-clean subsets of the LibriSpeech ASR corpus (resource SLR12);musan.tar.gz: the MUSAN corpus of music, speech and noise (resource SLR17);rirs_noises.zip: the database of simulated and real room impulse responses, isotropic and point-source noises (resource SLR28).
Total: 19.12 GB. Check a download with sha256sum -c SHA256SUMS.
| file | bytes | sha256 |
|---|---|---|
dev-clean.tar.gz |
337,926,286 | 76f87d090650617fca0cac8f88b9416e0ebf80350acb97b343a85fa903728ab3 |
musan.tar.gz |
11,086,114,085 | 86d1061c7e15b5c9e906777685c519701df51bfde3001e1070dcc9ffac955ee1 |
rirs_noises.zip |
1,311,166,223 | 3b50cfde915b3984738169b4beb341e9f6b8062ae4c2076146c5db71c2c05dc7 |
train-clean-100.tar.gz |
6,387,309,499 | d4ddd1d5a6ab303066f14971d768ee43278a5f2a0aa43dc716b0e64ecbbbf6e2 |
Sources
- V. Panayotov, G. Chen, D. Povey and S. Khudanpur, "Librispeech: an ASR corpus based on public domain audio
books", ICASSP 2015. OpenSLR resource SLR12, https://www.openslr.org/12 (
train-clean-100.tar.gz, md5 2a93770f6d5c6c964bc36631d331a522;dev-clean.tar.gz, md5 42e2234ba48799c1f50f24a7926300a1). - D. Snyder, G. Chen and D. Povey, "MUSAN: A Music, Speech, and Noise Corpus", arXiv:1510.08484, 2015. OpenSLR
resource SLR17, https://www.openslr.org/17 (
musan.tar.gz). - T. Ko, V. Peddinti, D. Povey, M. L. Seltzer and S. Khudanpur, "A Study on Data Augmentation of Reverberant Speech
for Robust Speech Recognition", ICASSP 2017. OpenSLR resource SLR28, https://www.openslr.org/28
(
rirs_noises.zip).
Licence
train-clean-100.tar.gz,dev-clean.tar.gz: LibriSpeech is released by its authors under Creative Commons Attribution 4.0 International (CC BY 4.0) (LICENSE.TXTin each archive).musan.tar.gz: published on OpenSLR under Creative Commons Attribution 4.0 International (CC BY 4.0). The corpus README states that every file is under a Creative Commons licence or in the US public domain, with no content that forbids commercial use; theLICENSEfile in each subdirectory gives each recording's licence and attribution.rirs_noises.zip: published on OpenSLR under the Apache License 2.0. As itsREADMEdescribes, thereal_rirs_isotropic_noisesfolder holds impulse responses and noises from the RWCP sound scene database, the 2014 REVERB challenge database and the Aachen impulse response database (AIR), andpointsource_noisesholds noises from the Freesound portion of MUSAN.
Attribution: LibriSpeech ASR corpus by V. Panayotov, G. Chen, D. Povey and S. Khudanpur (CC BY 4.0); MUSAN by D. Snyder, G. Chen and D. Povey (CC BY 4.0); RIRS_NOISES by T. Ko, V. Peddinti, D. Povey, M. L. Seltzer and S. Khudanpur (Apache 2.0); OpenSLR resources SLR12, SLR17 and SLR28, unchanged.
No endorsement by the original authors is implied.
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