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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 1539, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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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mp3.flac
audio
__key__
string
__url__
string
audio/en/en_cv19_common_voice_en_10110
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_10153
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_101630
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_10187
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_10199
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_103922
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_104911
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_105525
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_106961
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_110372
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_111635
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_112902
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_113306
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_11341
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_11595
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_117677
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_12195
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_125017
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_12511
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_126209
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_126259
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_126311
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_126332
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_126354
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_128026
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_12928016
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_130702
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_13091
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_132754
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_132863
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_133630
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_133883
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_135536
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_137103
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_137104
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_137150
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_137151
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_137163
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_139416
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_141274
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_141307
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_141347
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_142838
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_142873
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_142887
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_144769
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_144814
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_14559
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_14619
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_148026
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_148137
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_148667
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_148867
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_150391
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_150401
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_151416
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_15269
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_15273
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_153088
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_155347
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_155498
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_15734171
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_15792388
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_15798427
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160353
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160361
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160368
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160372
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160374
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160377
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160381
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_160386
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162548
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162554
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162572
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162658
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162679
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162680
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162729
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_162808
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_16345
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_165164
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_165172
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_165175
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_16560
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_16564
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_16784879
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_16889
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_169031
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_169033
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_169997
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_170517
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171101
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171124
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171137
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171183
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171197
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171217
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171274
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
audio/en/en_cv19_common_voice_en_171286
hf://datasets/nhatminh/zf-train-pack@5de44256f7453b15602a15a96fcc43371884ad6c/part-000.tar
End of preview.

Prepared training data for a Vietnamese ASR fine-tune (lhotse cut manifests + 16 kHz FLAC/WAV), packed as tar shards. Sources and licences (redistributed under their terms; attribution to the original authors):

  • relabelled Vietnamese speech (nhatminh/vi-asr-relabel, nhatminh/vi-asr-relabel-extra): VLSP2020 / LSVSC / VietSpeech / FPT FOSD / InfoRe1 / VietMed / FLEURS / VAIS1000 / ViMedCSS (CC-BY-4.0, Apache-2.0, MIT as listed by each source), transcripts re-normalised
  • English (nhatminh/en-asr-mix): Common Voice 19 (CC0-1.0), VoxPopuli (CC0-1.0), LibriTTS-R (CC-BY-4.0)
  • MUSAN (openslr 17, CC-BY-4.0), RIRS_NOISES (openslr 28, Apache-2.0)
  • gipformer1.5-68M checkpoint (g-group-ai-lab, MIT)
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