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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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__key__
string
__url__
string
codec.config.csv
unknown
dev.track_1.tsv
unknown
dev.track_2.enroll.tsv
unknown
dev.track_2.trial.tsv
unknown
eval.track_1.tsv
unknown
eval.track_2.enroll.tsv
unknown
eval.track_2.trial.tsv
unknown
train.tsv
unknown
ASVspoof5
"hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/ASVspoof5_protoc(...TRUNCATED)
"SUQsQ09ERUMsQ09ERUNfUSxCaXRyYXRlKGticHMpDQpDMSxvcHVzX3diLDEsNg0KQzEsb3B1c193YiwyLDEyDQpDMSxvcHVzX3d(...TRUNCATED)
"RF8wMDYyIERfMDAwMDAwMDAwMSBGIC0gLSAtIEFDMSBBMTEgc3Bvb2YgLQpEXzA3NTUgRF8wMDAwMDAwMDIyIEYgLSAtIC0gQUM(...TRUNCATED)
"RF80MjA1IERfQTAwMDAwMDA1NjIsRF9BMDAwMDAwMDg5OCxEX0EwMDAwMDAwMzI4CkRfNDY2MCBEX0EwMDAwMDAwMzE2LERfQTA(...TRUNCATED)
"RF8wMDYyIERfMDAwMDAwMDAwMSBGIEExMSBzcG9vZgpEXzA3NTUgRF8wMDAwMDAwMDIyIEYgQTE2IHNwb29mCkRfMDEwNiBEXzA(...TRUNCATED)
"RV8xNjA3IEVfMDAwOTUzODk2OSBNIEMwNSAyIEVfMDAwOTQ4NjE3MSBBQzEgQTI2IHNwb29mIC0KRV8zNjE0IEVfMDAwOTI0OTE(...TRUNCATED)
"RV8wMDAyIEVfQTAwMDAwMDI3NDYsRV9BMDAwMDAwMTk0NSxFX0EwMDAwMDA0Nzg2CkVfMDAwOCBFX0EwMDAwMDAyNjg4LEVfQTA(...TRUNCATED)
"RV80NDEzIEVfMDAwODE3MDkwNyBGIEEyNSBzcG9vZgpFXzAzNTcgRV8wMDA3NDIwNjUxIEYgQTMyIHNwb29mCkVfMjk1OSBFXzA(...TRUNCATED)
"VF80ODUwIFRfMDAwMDAwMDAwMCBGIC0gLSAtIEFDMyBBMDUgc3Bvb2YgLQpUXzA4NTggVF8wMDAwMDAwMDAxIE0gLSAtIC0gQUM(...TRUNCATED)
flac_D/D_0000000001
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000022
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000043
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000064
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000085
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000106
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000127
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000148
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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flac_D/D_0000000169
hf://datasets/Kumarkaustubh2895/asvspoof5@24a1baddf40d0dde468eb22fb0f64fbcd94edb27/flac_D_aa.tar
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End of preview.

This is the Huggingface repository for the ASVspoof 5 database. ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks, and the design of detection solutions. Compared to previous challenges, the ASVspoof~5 database is built from crowdsourced data collected from around 2,000 speakers in diverse acoustic conditions. More than 20 attacks, also crowdsourced, are generated and optionally tested using surrogate detection models, while seven adversarial attacks are incorporated for the first time.

Please check README.txt and LICENSE.txt before downloading the database. It is highly recommended to follow the rules and instructions in the ASVspoof 5 challenge evaluation plan (phase 2, https://www.asvspoof.org/), if you want to produce results comparable with the literature. Please consider citing the reference listed at the bottom of this page. Latest work using the ASVspoof 5 database can be found in the Automatic Speaker Verification Spoofing Countermeasures Workshop proceeding: https://www.isca-archive.org/asvspoof_2024/index.html If you are interested in creating spoofed data for research purpose using the ASVspoof 5 protocol, please send request to info@asvspoof.org

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