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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
flac audio | __key__ string | __url__ string |
|---|---|---|
WenetSpeech4TTS_0000000249 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000001350 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000000372 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000001931 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000001611 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000002312 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000002953 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000003519 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000003802 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000004953 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000005269 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000005603 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000005087 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000007129 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000005383 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000008640 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000008643 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000008940 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000009003 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000009106 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000009287 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000010322 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000010664 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000010952 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000006899 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000011882 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000012084 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000012789 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000012163 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000013234 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000013387 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000013856 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000014152 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000014879 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000013291 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000016966 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000015384 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000018263 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000018623 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000019778 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000019891 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020166 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000017343 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020214 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020171 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020787 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000017238 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020800 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020613 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000020986 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000018993 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000021497 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000023531 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000026139 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000026673 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000026706 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000029897 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000030611 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000030741 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000030780 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000027684 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000030887 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000031055 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000031445 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000033915 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000034506 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000032596 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000034599 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000034538 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000034636 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000034753 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000035988 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000036603 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000036856 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000034955 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000037299 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000038077 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000038433 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000038667 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000039047 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000039077 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000039625 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000040775 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000042035 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000042176 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000042182 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000043178 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000043790 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000042549 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000044149 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000045179 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000045495 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000040865 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000047492 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000045643 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000047635 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000047831 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000048444 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000050961 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar | |
WenetSpeech4TTS_0000051294 | hf://datasets/alephpi/wordvoice-5a@ac7d3192b1bad34c070766039024ba1a57b72987/zh/audios/dev-000.tar |
End of preview.
A cleaned version of XXH333/WordVoice-5A, where the audio samples are uniformly enhanced and upsampled to 24khz by Sidon.
The jsonl fields are normalized. The whole dataset are resharded, while preserving the data split, i.e. shard-xxx.tar for training, dev-xxx.tar for development and test-xxx.tar for test.
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