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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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json
dict
flac
audio
__key__
string
__url__
string
{ "id": "DE_B00000_S00001_W000000", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000000.mp3", "text": "[with a subtle positive with a subtle calm and sounding passably shock sounding strikingly fascination with a fleeting glimpse of expressive barely perceptible contemplation, sounding reasonably ferv...
000000
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000001", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000001.mp3", "text": "[sounding moderately pondering and somewhat engrossment, to some extent confident, plainly serious and sounding comparatively vexation, sounding reasonably enthusiasm sounding noticeably fascination]...
000001
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000002", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000002.mp3", "text": "[sounding obviously intrigue and with an undertone of soft, moderately confident, with a touch of calm, noticeably genuine sounding, decidedly feminine voice and a bit positive sounding fairly pride ...
000002
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000003", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000003.mp3", "text": "[sounding faintly interest, to some extent attention, profoundly feminine voice a bit irritation partially soft somewhat enthusiasm and fairly expressive marginally genuine sounding, lightly confiden...
000003
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000004", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000004.mp3", "text": "[mildly calm, sounding lightly hope a delicate pensiveness deeply feminine voice, clearly genuine sounding, with a ghost of high-pitched, sounding patently curiosity, sounding fairly engrossment and ...
000004
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000005", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000005.mp3", "text": "[sounding reasonably attention and an inkling of sharpness and mildly warm, sounding marginally self-consciousness and sounding markedly intrigue, sounding softly courage and relatively genuine sound...
000005
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000006", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000006.mp3", "text": "[sounding modestly interest, clearly serious partially genuine sounding, sounding moderately absorption to some extent monotone] Viel zu viele Bewerber nehmen häufig den erstbesten Job an, der ihnen...
000006
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000007", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000007.mp3", "text": "[plainly feminine voice and demonstrably genuine sounding a drop of perplexity, sounding passably engrossment sounding evidently interest, sounding mildly honor mildly soft sounding partially broodin...
000007
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000008", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000008.mp3", "text": "[prominently confident and with a drop of dominant and incredibly feminine voice, sounding slightly zeal and sounding softly acerbity and sounding comparatively bantering and somewhat concentration, ...
000008
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000009", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000009.mp3", "text": "[with just a hint of high-pitched and sounding passably concentration and marginally confident and sounding relatively thankfulness, a tinge of respite sounding apparently curiosity, sounding faintly...
000009
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000010", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000010.mp3", "text": "[just a hint of pensiveness partially soft and with an inkling of expressive, sounding markedly curiosity sounding partially irritation with a drop of dominant to some extent serious an undertone of ...
000010
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00001_W000011", "wav": "DE_B00000/DE_B00000_S00001/mp3/DE_B00000_S00001_W000011.mp3", "text": "[sounding distinctly curiosity, fairly calm, somewhat desire, sounding relatively exasperation and manifestly serious and slightly soft, sounding comparatively caring perceptibly genuine sounding, so...
000011
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00002_W000000", "wav": "DE_B00000/DE_B00000_S00002/mp3/DE_B00000_S00002_W000000.mp3", "text": "[relatively warm acutely serious, sounding slightly fatigue sounding evidently intrigue, sounding faintly concentration and sounding incompletely longing with just a hint of dominant, sounding obviou...
000012
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00002_W000001", "wav": "DE_B00000/DE_B00000_S00002/mp3/DE_B00000_S00002_W000001.mp3", "text": "[sounding decidedly meditation sounding strikingly concentration somewhat calm and a faint sign of vexation, with a tinge of masculine voice a subtle pessimism sounding noticeably interest fairly gen...
000013
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00002_W000002", "wav": "DE_B00000/DE_B00000_S00002/mp3/DE_B00000_S00002_W000002.mp3", "text": "[with a touch of low-pitched and relatively genuine sounding, decidedly calm with a fraction of dominant, incompletely confident and sounding fairly fascination and sounding relatively emotional blun...
000014
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
{ "id": "DE_B00000_S00002_W000003", "wav": "DE_B00000/DE_B00000_S00002/mp3/DE_B00000_S00002_W000003.mp3", "text": "[somewhat contemplation sounding faintly surprise and modestly genuine sounding and perceptibly masculine voice and sounding passably deep focus with a speck of dominant a whisper of terror, sounding...
000015
hf://datasets/VoiceNet/emolia-balanced-5M-procedural@f50a0681484268e424fe98880ca5e0762c15880d/emolia-000000.tar
End of preview.

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Check out the documentation for more information.

emolia-balanced-5M-procedural

WebDataset shards (FLAC audio + JSON) of the balanced 5M-clip Emolia subset with procedurally generated text targets (the text field), as used for VoiceCLAP training experiments.

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