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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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flac
audio
json
dict
__key__
string
__url__
string
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1068_TIE_ANG_XX.wav", "text": "Speech expressing anger", "emotion": "anger", "split": "train", "duration": 3.136, "extra_metadata": { "actor_i...
000000_00000
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1065_WSI_NEU_XX.wav", "text": "A person speaking with a neutral tone", "emotion": "neutral", "split": "train", "duration": 2.603, "extra_metadata"...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1038_TAI_DIS_XX.wav", "text": "A voice expressing disgust", "emotion": "disgust", "split": "train", "duration": 2.97, "extra_metadata": { "act...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1021_IEO_HAP_LO.wav", "text": "A person speaking with happiness in their voice", "emotion": "happy", "split": "train", "duration": 1.735, "extra_m...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1002_DFA_SAD_XX.wav", "text": "A person speaking with sadness", "emotion": "sad", "split": "train", "duration": 2.369, "extra_metadata": { "ac...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1055_WSI_NEU_XX.wav", "text": "A voice expressing a neutral tone", "emotion": "neutral", "split": "train", "duration": 2.703, "extra_metadata": { ...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1072_MTI_FEA_XX.wav", "text": "Speech expressing fear", "emotion": "fear", "split": "train", "duration": 3.937, "extra_metadata": { "actor_id"...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1017_IEO_SAD_MD.wav", "text": "Speech expressing sadness", "emotion": "sad", "split": "train", "duration": 1.802, "extra_metadata": { "actor_i...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1017_WSI_NEU_XX.wav", "text": "A voice expressing a neutral tone", "emotion": "neutral", "split": "train", "duration": 2.202, "extra_metadata": { ...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1069_ITS_HAP_XX.wav", "text": "A person speaking with happiness in their voice", "emotion": "happy", "split": "train", "duration": 2.002, "extra_m...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1069_IWL_FEA_XX.wav", "text": "A person speaking with fear in their voice", "emotion": "fear", "split": "train", "duration": 2.069, "extra_metadat...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1066_IOM_ANG_XX.wav", "text": "Speech expressing anger", "emotion": "anger", "split": "train", "duration": 2.102, "extra_metadata": { "actor_i...
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{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1031_IEO_SAD_LO.wav", "text": "A person speaking with sadness", "emotion": "sad", "split": "train", "duration": 2.469, "extra_metadata": { "ac...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1083_IOM_FEA_XX.wav", "text": "A person speaking with fear in their voice", "emotion": "fear", "split": "train", "duration": 2.703, "extra_metadat...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1013_TIE_NEU_XX.wav", "text": "A person speaking with a neutral tone", "emotion": "neutral", "split": "train", "duration": 2.269, "extra_metadata"...
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{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1065_IOM_HAP_XX.wav", "text": "A person speaking with happiness in their voice", "emotion": "happy", "split": "train", "duration": 2.002, "extra_m...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1088_IEO_ANG_HI.wav", "text": "A person speaking with anger", "emotion": "anger", "split": "train", "duration": 2.769, "extra_metadata": { "ac...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1061_IWW_FEA_XX.wav", "text": "A person speaking with fear in their voice", "emotion": "fear", "split": "train", "duration": 2.603, "extra_metadat...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1004_IEO_HAP_LO.wav", "text": "Speech expressing happiness", "emotion": "happy", "split": "train", "duration": 2.402, "extra_metadata": { "act...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1087_IWL_NEU_XX.wav", "text": "A person speaking with a neutral tone in their voice", "emotion": "neutral", "split": "train", "duration": 2.836, "...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1002_IOM_ANG_XX.wav", "text": "A person speaking with anger in their voice", "emotion": "anger", "split": "train", "duration": 2.836, "extra_metad...
000000_00035
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1002_WSI_DIS_XX.wav", "text": "A voice expressing disgust", "emotion": "disgust", "split": "train", "duration": 3.437, "extra_metadata": { "ac...
000000_00036
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1057_ITS_NEU_XX.wav", "text": "A person speaking with a neutral tone", "emotion": "neutral", "split": "train", "duration": 2.035, "extra_metadata"...
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hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1057_IEO_FEA_MD.wav", "text": "A person speaking with fear in their voice", "emotion": "fear", "split": "train", "duration": 2.703, "extra_metadat...
000000_00038
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1047_WSI_HAP_XX.wav", "text": "Speech expressing happiness", "emotion": "happy", "split": "train", "duration": 2.269, "extra_metadata": { "act...
000000_00039
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1064_IEO_DIS_HI.wav", "text": "A voice expressing disgust", "emotion": "disgust", "split": "train", "duration": 3.971, "extra_metadata": { "ac...
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{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1066_DFA_FEA_XX.wav", "text": "Speech expressing fear", "emotion": "fear", "split": "train", "duration": 2.603, "extra_metadata": { "actor_id"...
000000_00090
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1056_ITH_ANG_XX.wav", "text": "A person speaking with anger in their voice", "emotion": "anger", "split": "train", "duration": 2.369, "extra_metad...
000000_00091
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1030_IEO_SAD_HI.wav", "text": "A voice expressing sadness", "emotion": "sad", "split": "train", "duration": 2.936, "extra_metadata": { "actor_...
000000_00092
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1080_ITH_HAP_XX.wav", "text": "Speech expressing happiness", "emotion": "happy", "split": "train", "duration": 2.536, "extra_metadata": { "act...
000000_00093
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1020_TAI_FEA_XX.wav", "text": "Speech expressing fear", "emotion": "fear", "split": "train", "duration": 2.703, "extra_metadata": { "actor_id"...
000000_00094
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1060_ITS_SAD_XX.wav", "text": "A person speaking with sadness in their voice", "emotion": "sad", "split": "train", "duration": 2.569, "extra_metad...
000000_00095
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1075_IOM_HAP_XX.wav", "text": "Speech expressing happiness", "emotion": "happy", "split": "train", "duration": 1.935, "extra_metadata": { "act...
000000_00096
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1043_TIE_FEA_XX.wav", "text": "A voice expressing fear", "emotion": "fear", "split": "train", "duration": 2.436, "extra_metadata": { "actor_id...
000000_00097
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1063_IEO_SAD_HI.wav", "text": "A person speaking with sadness", "emotion": "sad", "split": "train", "duration": 2.502, "extra_metadata": { "ac...
000000_00098
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
{ "source_dataset": "CREMA-D (7442 clips / 91 actors / 6 emotions)", "source_url": "https://github.com/CheyneyComputerScience/CREMA-D", "original_filename": "1025_IEO_DIS_MD.wav", "text": "A voice expressing disgust", "emotion": "disgust", "split": "train", "duration": 2.936, "extra_metadata": { "ac...
000000_00099
hf://datasets/VoiceNet/voiceclap-extra-corpora@088be5f20714e80fbd53a79cbd1727500b91687d/crema_d_emotion/000000.tar
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Check out the documentation for more information.

voiceclap-extra-corpora

WebDataset shards of the additional voice corpora used in VoiceCLAP experiments, one folder per corpus: voxceleb1/, voxceleb2/, ears/, expresso/, crema_d_emotion/, ravdess_emotion/. VoxCeleb1/2, EARS and Expresso are the full-audio versions with FCaps-style captions (the smaller caption-only versions are in laion/voiceclap-data); CREMA-D and RAVDESS carry emotion labels. The licenses of the source corpora apply.

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