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Datasets:
guilinhu
/
libri_conversation

Tasks:
Audio-to-Audio
Languages:
English
ArXiv:
License:
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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 1520, 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 130, 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 34, 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 1382, 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 1560, 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__
string
__url__
string
libri_leaving/train/00168/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/00168/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/00168/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/00168/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/00168/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/00168/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/00168/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/00168/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/03490/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03490/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/03139/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03139/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/06764/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06764/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/02367/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/02367/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/06347/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06347/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/03644/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/03644/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/01819/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01819/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/06321/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06321/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/06075/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/06075/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/04255/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/04255/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/target_speech0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/intereference2
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
Not supported with pagination yet
libri_leaving/train/05705/metadata
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/05705/intereference0
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01547/target_speech1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01547/self_speech
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01547/example
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
libri_leaving/train/01547/intereference1
hf://datasets/guilinhu/libri_conversation@b05548d2d571ed4b5af141491e3836577fbba044/libri_leaving_train.tar
End of preview.

Libri Conversation FLAC Dataset

This dataset accompanies the paper:

Proactive Hearing Assistants that Isolate Egocentric Conversations
Hu et al., 2025

It contains ~234 hours of conversational-style audio derived from LibriSpeech-like sources, processed into 60-second multispeaker segments under different experimental conditions:

  • libri_leaving — scenarios where one speaker intermittently leaves the conversation
  • libri_multi — 3-speaker conversational segments

All audio is stored in FLAC format. Metadata files (JSON) are preserved exactly as in the original directory structure.

Dataset Structure

The dataset is organized into two main components:

libri_leaving/
  train/
  val/
  test/

libri_multi/
  train/
  val/
  test/

Because of Hugging Face API request limits, the dataset is packaged into .tar archives.
Each archive mirrors the original folder structure:

libri_leaving_train.tar
libri_leaving_val.tar
libri_leaving_test.tar

libri_multi_train.tar
libri_multi_val.tar
libri_multi_test.tar

Citation

If you use this dataset, please cite the following paper:

@inproceedings{hu2025proactive,
  title={Proactive Hearing Assistants that Isolate Egocentric Conversations},
  author={Hu, Guilin and Itani, Malek and Chen, Tuochao and Gollakota, Shyamnath},
  booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  pages={25377--25394},
  year={2025}
}
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