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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    HfHubHTTPError
Message:      500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/jungjee/asvspoof5/resolve/5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar (Request ID: Root=1-67ad1475-4435843b0dcf1d7d4891a912;9a0fd456-f7b4-458b-a5f1-7bacc171352c)

The request is taking longer than expected, please try again later.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 406, in hf_raise_for_status
                  response.raise_for_status()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/models.py", line 1024, in raise_for_status
                  raise HTTPError(http_error_msg, response=self)
              requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/jungjee/asvspoof5/resolve/5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1607, in _prepare_split_single
                  for key, record in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 689, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 119, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 41, in _get_pipeline_from_tar
                  current_example[field_name.lower()] = f.read()
                File "/usr/local/lib/python3.9/tarfile.py", line 688, in read
                  b = self.fileobj.read(length)
                File "/usr/local/lib/python3.9/tarfile.py", line 525, in read
                  buf = self._read(size)
                File "/usr/local/lib/python3.9/tarfile.py", line 533, in _read
                  return self.__read(size)
                File "/usr/local/lib/python3.9/tarfile.py", line 563, in __read
                  buf = self.fileobj.read(self.bufsize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 826, in read_with_retries
                  out = read(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 808, in track_read
                  out = f_read(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 757, in read
                  return super().read(length)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1846, in read
                  out = self.cache._fetch(self.loc, self.loc + length)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
                  self.cache = self.fetcher(start, end)  # new block replaces old
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 720, in _fetch_range
                  hf_raise_for_status(r)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/datasets/jungjee/asvspoof5/resolve/5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar (Request ID: Root=1-67ad1475-4435843b0dcf1d7d4891a912;9a0fd456-f7b4-458b-a5f1-7bacc171352c)
              
              The request is taking longer than expected, please try again later.
              
              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 1415, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, 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__
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codec.config.csv
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dev.track_1.tsv
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dev.track_2.enroll.tsv
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dev.track_2.trial.tsv
unknown
eval.track_1.tsv
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eval.track_2.enroll.tsv
unknown
eval.track_2.trial.tsv
unknown
train.tsv
unknown
ASVspoof5
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/ASVspoof5_protocols.tar
"SUQsQ09ERUMsQ09ERUNfUSxCaXRyYXRlKGticHMpDQpDMSxvcHVzX3diLDEsNg0KQzEsb3B1c193YiwyLDEyDQpDMSxvcHVzX3d(...TRUNCATED)
"RF8wMDYyIERfMDAwMDAwMDAwMSBGIC0gLSAtIEFDMSBBMTEgc3Bvb2YgLQpEXzA3NTUgRF8wMDAwMDAwMDIyIEYgLSAtIC0gQUM(...TRUNCATED)
"RF80MjA1IERfQTAwMDAwMDA1NjIsRF9BMDAwMDAwMDg5OCxEX0EwMDAwMDAwMzI4CkRfNDY2MCBEX0EwMDAwMDAwMzE2LERfQTA(...TRUNCATED)
"RF8wMDYyIERfMDAwMDAwMDAwMSBGIEExMSBzcG9vZgpEXzA3NTUgRF8wMDAwMDAwMDIyIEYgQTE2IHNwb29mCkRfMDEwNiBEXzA(...TRUNCATED)
"RV8xNjA3IEVfMDAwOTUzODk2OSBNIEMwNSAyIEVfMDAwOTQ4NjE3MSBBQzEgQTI2IHNwb29mIC0KRV8zNjE0IEVfMDAwOTI0OTE(...TRUNCATED)
"RV8wMDAyIEVfQTAwMDAwMDI3NDYsRV9BMDAwMDAwMTk0NSxFX0EwMDAwMDA0Nzg2CkVfMDAwOCBFX0EwMDAwMDAyNjg4LEVfQTA(...TRUNCATED)
"RV80NDEzIEVfMDAwODE3MDkwNyBGIEEyNSBzcG9vZgpFXzAzNTcgRV8wMDA3NDIwNjUxIEYgQTMyIHNwb29mCkVfMjk1OSBFXzA(...TRUNCATED)
"VF80ODUwIFRfMDAwMDAwMDAwMCBGIC0gLSAtIEFDMyBBMDUgc3Bvb2YgLQpUXzA4NTggVF8wMDAwMDAwMDAxIE0gLSAtIC0gQUM(...TRUNCATED)
flac_D/D_0000000001
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
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flac_D/D_0000000022
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
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flac_D/D_0000000043
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
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flac_D/D_0000000064
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
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flac_D/D_0000000085
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
null
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flac_D/D_0000000106
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
null
null
null
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flac_D/D_0000000127
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
null
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flac_D/D_0000000148
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
null
null
null
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flac_D/D_0000000169
hf://datasets/jungjee/asvspoof5@5d4b1565bc0e3e79343af0b5eacc0ea395405d59/flac_D_aa.tar
null
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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 [email protected]

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