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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 1405, 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 982, 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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flac
audio
__key__
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aishell_flac/BAC009S0767W0483
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aishell_flac/BAC009S0907W0421
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aishell_flac/BAC009S0764W0447
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aishell_flac/BAC009S0902W0418
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aishell_flac/BAC009S0912W0423
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aishell_flac/BAC009S0903W0252
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aishell_flac/BAC009S0912W0468
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aishell_flac/BAC009S0914W0495
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aishell_flac/BAC009S0768W0323
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0768W0247
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0915W0352
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0912W0481
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0904W0447
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0767W0421
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0907W0483
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0913W0280
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0905W0322
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0765W0380
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0768W0368
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
aishell_flac/BAC009S0905W0246
hf://datasets/ash56/ShiftySpeech@88b69ba19f793939cae1302920387bdf1fdb86e3/real_data_flac/real_data_aishell_flac.tar.gz
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This repository introduces: πŸŒ€ ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts

πŸ”₯ Key Features

  • 3000+ hours of synthetic speech
  • Diverse Distribution Shifts: The dataset spans 7 key distribution shifts, including:
    • πŸ“– Reading Style
    • πŸŽ™οΈ Podcast
    • πŸŽ₯ YouTube
    • πŸ—£οΈ Languages (Three different languages)
    • 🌎 Demographics (including variations in age, accent, and gender)
  • Multiple Speech Generation Systems: Includes data synthesized from various TTS models and vocoders.

πŸ’‘ Why We Built This Dataset

Driven by advances in self-supervised learning for speech, state-of-the-art synthetic speech detectors have achieved low error rates on popular benchmarks such as ASVspoof. However, prior benchmarks do not address the wide range of real-world variability in speech. Are reported error rates realistic in real-world conditions? To assess detector failure modes and robustness under controlled distribution shifts, we introduce ShiftySpeech, a benchmark with more than 3000 hours of synthetic speech from 7 domains, 6 TTS systems, 12 vocoders, and 3 languages.

βš™οΈ Usage

Ensure that you have soundfile or librosa installed for proper audio decoding:

pip install soundfile librosa
πŸ“Œ Example: Loading the AISHELL Dataset Vocoded with APNet2
from datasets import load_dataset

dataset = load_dataset("ash56/ShiftySpeech", data_files={"data": f"Vocoders/apnet2/apnet2_aishell_flac.tar.gz"})["data"]

⚠️ Note: It is recommended to load data from a specific folder to avoid unnecessary memory usage.

The source datasets covered by different TTS and Vocoder systems are listed in tts.yaml and vocoders.yaml

πŸ“„ More Information

For detailed information on dataset sources and analysis, see our paper: ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts

You can also find the full implementation on GitHub

Citation

If you find this dataset useful, please cite our work:

@article{garg2025shiftyspeech,
  title={ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts},
  author={Garg, Ashi and Cai, Zexin and Zhang, Lin and Xinyuan, Henry Li and Garc{\'\i}a-Perera, Leibny Paola and Duh, Kevin and Khudanpur, Sanjeev and Wiesner, Matthew and Andrews, Nicholas},
  journal={arXiv preprint arXiv:2502.05674},
  year={2025}
}

βœ‰οΈ Contact

If you have any questions or comments about the resource, please feel free to reach out to us at: gargg.ashi@gmail.com or noa@jhu.edu

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