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Y-Research-Group
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NeuroSonic

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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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wav
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hf://datasets/Y-Research-Group/NeuroSonic@ba1498dab4e4c3e18d10b7ee6e957f4dcdfc4e6a/audio/pcm16k_wav.tar
pcm16k_wav/000048
hf://datasets/Y-Research-Group/NeuroSonic@ba1498dab4e4c3e18d10b7ee6e957f4dcdfc4e6a/audio/pcm16k_wav.tar
pcm16k_wav/000120
hf://datasets/Y-Research-Group/NeuroSonic@ba1498dab4e4c3e18d10b7ee6e957f4dcdfc4e6a/audio/pcm16k_wav.tar
pcm16k_wav/000049
hf://datasets/Y-Research-Group/NeuroSonic@ba1498dab4e4c3e18d10b7ee6e957f4dcdfc4e6a/audio/pcm16k_wav.tar
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CineBrain EEG–Audio Alignment

This repository pairs CineBrain EEG with audio from its audiovisual stimuli. We did not collect or own the underlying data. Our contribution is the EEG–audio alignment.

Files and alignment

  • eeg/sub-0001_EEG_merged.tar–eeg/sub-0006_EEG_merged.tar: 5,400 four-second EEG arrays per participant, each joining five of CineBrain's released 0.8-second preprocessed EEG segments.
  • audio/pcm16k_wav.tar: 8,100 aligned four-second audio clips in 16 kHz mono WAV format.
  • eeg_audio_paired/all_subjects_pairs.npz: 32,400 (subject_id, eeg_idx, audio_idx) pairs; per-participant indexes are also included.

EEG arrays retain their local shapes: 31,860 are (69, 4000) and 540 are (70, 4000).

Extract the archives into one directory to obtain the indexed EEG and audio folders. package_manifest.json provides archive SHA-256 checksums.

The index follows CineBrain's episode assignment: participants 1, 2, and 6 use audio IDs 0–5,399; participants 3, 4, and 5 use IDs 0–2,699 and 5,400–8,099.

Attribution and rights

Credit the CineBrain creators for the original data and Y-Research-Group/NeuroSonic for the alignment. Rights in the EEG and audiovisual material remain with their original rights holders. This repository grants no new license to that material; consult the upstream terms before reuse.
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Paper for Y-Research-Group/NeuroSonic