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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 dataset

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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/diarization_sim@944c216ef703256650471687f31b15ad31553100/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/diarization_sim@944c216ef703256650471687f31b15ad31553100/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/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
"; Some pipe(|) separated metadata about all LibriVox readers, whose work was used\n; in the corpus.(...TRUNCATED)
LibriSpeech/SPEAKERS
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
"1 | United States Declaration of Independence | \n11 | Alice's Adventures in Wond(...TRUNCATED)
LibriSpeech/BOOKS
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
null
LibriSpeech/train-clean-100/374/180298/374-180298-0021
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
null
LibriSpeech/train-clean-100/374/180298/374-180298-0038
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
null
LibriSpeech/train-clean-100/374/180298/374-180298-0022
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
null
LibriSpeech/train-clean-100/374/180298/374-180298-0044
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
null
LibriSpeech/train-clean-100/374/180298/374-180298-0006
"hf://datasets/Emulated-Inc/diarization_sim@944c216ef703256650471687f31b15ad31553100/train-clean-100(...TRUNCATED)
End of preview.

LibriSpeech ASR corpus: train-clean-100 and dev-clean (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

Two archives of the LibriSpeech ASR corpus, unchanged, as published on OpenSLR (resource SLR12):

  • train-clean-100.tar.gz: the train-clean-100 subset;
  • dev-clean.tar.gz: the dev-clean subset.

Total: 6.73 GB. Check a download with sha256sum -c SHA256SUMS.

file bytes sha256
dev-clean.tar.gz 337,926,286 76f87d090650617fca0cac8f88b9416e0ebf80350acb97b343a85fa903728ab3
train-clean-100.tar.gz 6,387,309,499 d4ddd1d5a6ab303066f14971d768ee43278a5f2a0aa43dc716b0e64ecbbbf6e2

Source

  • 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).

Licence

Released by its authors under Creative Commons Attribution 4.0 International (CC BY 4.0) (LICENSE.TXT in each archive).

Attribution: LibriSpeech ASR corpus by V. Panayotov, G. Chen, D. Povey and S. Khudanpur, OpenSLR SLR12 (CC BY 4.0), unchanged.

No endorsement by the original authors is implied.

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