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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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wav
audio
__key__
string
__url__
string
angry/M003_angry_level_1_001
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_002
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_003
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_004
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_005
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_006
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_007
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_008
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_009
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_010
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_011
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_012
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_013
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_014
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_015
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_016
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_017
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_018
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_019
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_020
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_021
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_022
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_023
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_024
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_025
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_026
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_027
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_028
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_029
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_1_030
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_001
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_002
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_003
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_004
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_005
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_006
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_007
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_008
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_009
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_010
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_011
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_012
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_013
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_014
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_015
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_016
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_017
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_018
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_019
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_020
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_021
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_022
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_023
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_024
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_025
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_026
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_027
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_028
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_029
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_2_030
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_001
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_002
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_003
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_004
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_005
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_006
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_007
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_008
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_009
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_010
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_011
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_012
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_013
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_014
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_015
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_016
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_017
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_018
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_019
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_020
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_021
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_022
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_023
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_024
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_025
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_026
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_027
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_028
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_029
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M003_angry_level_3_030
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_001
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_002
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_003
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_004
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_005
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_006
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_007
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_008
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_009
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
angry/M005_angry_level_1_010
hf://datasets/bitwisemind/mead_dataset_audio_file_only@021f27ad57d56b5577bd318ae5f5556a30e42243/angry.tar
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