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HBoh
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PAVAS-precomputed-results

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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 dataset

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flac
audio
__key__
string
__url__
string
PAVAS_large_vggsound/---g-f_I2yQ_000001
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/--U7joUcTCo_000000
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/--i-y1v8Hy8_000000
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0BIyqJj9ZU_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0UuUoXQUoI_000107
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0Zg_dXR_6I_000013
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0jeONf82dE_000021
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0p7hKXZ1ww_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0pJqpNjft4_000267
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-0yRK50zyTI_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-1BtY81-D54_000130
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-1pRmoJIGQc_000010
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-2-wdcN5vOw_000017
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-23CeprtibU_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-2Dm0VjW8oM_000001
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-2RPPODqLy4_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-2sE5CH8Wb8_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-2sOH8XovEE_000484
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-2xiZDEuHd8_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3-4qmWSJXU_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3Kv4fdm7Uk_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3RH8_aeZkk_000105
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3YWuPXHknk_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3b9gwBYXp8_000503
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3rHVsIj1M8_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-3z5mFRgbxc_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-40nDU5Ecgg_000130
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PAVAS_large_vggsound/-42aitlKedE_000574
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-4DpBHTuc88_000075
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PAVAS_large_vggsound/-4bPiXbovf0_000008
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PAVAS_large_vggsound/-4kkGS4-qVM_000010
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PAVAS_large_vggsound/-4pmCrSdMhg_000030
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PAVAS_large_vggsound/-4viN_EoxOA_000000
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PAVAS_large_vggsound/-5CGQGSFGyg_000060
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PAVAS_large_vggsound/-5z9IXBJefc_000227
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PAVAS_large_vggsound/-615mGonUqU_000232
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PAVAS_large_vggsound/-6u76q0L5o8_000067
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PAVAS_large_vggsound/-79qo5MUYBk_000207
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PAVAS_large_vggsound/-7IhwezUrUA_000590
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PAVAS_large_vggsound/-7TanrCbmME_000030
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PAVAS_large_vggsound/-7sg--aJdrc_000039
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PAVAS_large_vggsound/-7sg--aJdrc_000049
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PAVAS_large_vggsound/-7tYmeOmsRg_000058
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PAVAS_large_vggsound/-7tYmeOmsRg_000180
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PAVAS_large_vggsound/-86gl1hp1Aw_000105
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PAVAS_large_vggsound/-8cgbhIR_pw_000030
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PAVAS_large_vggsound/-8lzdlqUtJQ_000061
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PAVAS_large_vggsound/-8pCMgGKZY8_000012
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PAVAS_large_vggsound/-A1o1Egi20c_000060
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PAVAS_large_vggsound/-A3zsFeU_OI_000030
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PAVAS_large_vggsound/-ABOfhcXwt8_000017
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PAVAS_large_vggsound/-AIzKe9X0hA_000006
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-AMsYmKRnWE_000008
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-ANxUxvGASw_000010
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-AeiYb4vDK0_000340
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-Am9MfJ6Z2o_000060
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-BftHoV-kXI_000168
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-BmjFZ1xu5Q_000263
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-By6I234TSs_000010
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PAVAS_large_vggsound/-ByoSbgzr4M_000000
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PAVAS_large_vggsound/-CGkSDY0mWI_000096
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PAVAS_large_vggsound/-COelgvUEW4_000016
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PAVAS_large_vggsound/-CZ1LIc8aos_000020
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PAVAS_large_vggsound/-Cr0WQoFQQs_000045
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PAVAS_large_vggsound/-Cv3gOXEoxA_000040
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PAVAS_large_vggsound/-D64b_8YJK4_000046
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-DnZ_ZY3lgA_000160
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PAVAS_large_vggsound/-DwwSHC2jLs_000102
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PAVAS_large_vggsound/-E5o64ACjm0_000017
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PAVAS_large_vggsound/-Ezk-jIm6kM_000170
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PAVAS_large_vggsound/-FKrYTj_eCU_000000
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PAVAS_large_vggsound/-FoTxwPOz3U_000000
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PAVAS_large_vggsound/-G04QpzSpbU_000020
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PAVAS_large_vggsound/-GLVzwHQwtw_000069
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PAVAS_large_vggsound/-GOaBCyC5Js_000087
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PAVAS_large_vggsound/-GOaBCyC5Js_000113
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PAVAS_large_vggsound/-GW1J75oAKU_000304
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-Gr9P8Abnlk_000110
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-HAoExLVs6Q_000380
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-HMEhGV38GM_000216
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-Hwec_jA5bI_000044
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-I3nR4HZK-E_000072
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-IKnJa9U66I_000150
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-IZbvEO9wzU_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-Igq1W20Gi8_000000
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-Ii-kc3ufho_000106
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-IvJaK7HLtQ_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-JBH9j7-h8U_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-JGpAlLrSD0_000458
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-JJmkQYZA-4_000020
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-JTbHL7OKf0_000052
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-JUBdOr8Hes_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-JUhUI_KvUI_000026
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-K-ccLMFE5M_000245
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-K-ccLMFE5M_000259
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-K1BRF6qng8_000030
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-KA76yUSK44_000240
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-KBH8YmHR-0_000050
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-KCYC-n5Uag_000022
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
PAVAS_large_vggsound/-KTabIWnPSg_000021
hf://datasets/HBoh/PAVAS-precomputed-results@9bb7e9888d8982ffd9d138ae6c48cdbdc8864e96/PAVAS_large_vggsound.tar
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

PAVAS Precomputed Results for VGGSound

This dataset contains precomputed PAVAS audio predictions for VGGSound evaluation.

Files

  • PAVAS_large_vggsound.tar: FLAC audio predictions in WebDataset-style layout.
  • PAVAS_large_vggsound_cache.tar: prediction-side av-benchmark feature cache for the same FLAC files.

Audio Layout

The audio tar contains entries like:

PAVAS_large_vggsound/---g-f_I2yQ_000001.flac

All PAVAS FLAC predictions are 44.1 kHz and 8 seconds long.

Evaluation

Use the av-benchmark evaluation pipeline following MMAudio evaluation. The VGGSound ground-truth cache is not included in this dataset.
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