Datasets:

shuohann
/

df_eval

pretty_name: df_eval
license: other
task_categories:
  - audio-classification
language:
  - en
  - zh
tags:
  - deepfake
  - speech
  - anti-spoofing
  - audio
size_categories:
  - 1M<n<10M
configs:
  - config_name: add_2022_track_1
    data_files:
      - split: test
        path: add_2022_track_1/test-*
  - config_name: add_2022_track_3
    data_files:
      - split: test
        path: add_2022_track_3/test-*
  - config_name: add_2023_round_1
    data_files:
      - split: test
        path: add_2023_round_1/test-*
  - config_name: add_2023_round_2
    data_files:
      - split: test
        path: add_2023_round_2/test-*
  - config_name: asvspoof_2019
    data_files:
      - split: test
        path: asvspoof_2019/test-*
  - config_name: asvspoof_2021_df
    data_files:
      - split: test
        path: asvspoof_2021_df/test-*
  - config_name: asvspoof_2021_la
    data_files:
      - split: test
        path: asvspoof_2021_la/test-*
  - config_name: asvspoof_2024
    data_files:
      - split: test
        path: asvspoof_2024/test-*
  - config_name: codecfake
    data_files:
      - split: test
        path: codecfake/test-*
  - config_name: dfadd
    data_files:
      - split: test
        path: dfadd/test-*
  - config_name: fake_or_real
    data_files:
      - split: test
        path: fake_or_real/test-*
  - config_name: in_the_wild
    data_files:
      - split: test
        path: in_the_wild/test-*
  - config_name: librisevoc
    data_files:
      - split: test
        path: librisevoc/test-*
  - config_name: sonar
    data_files:
      - split: test
        path: sonar/test-*
  - config_name: speechfake
    data_files:
      - split: test
        path: speechfake/test-*
  - config_name: speechfake_en
    data_files:
      - split: test
        path: speechfake_en/test-*

df_eval

Public evaluation-only speech deepfake detection dataset, organized like Common Voice language configs: each config is a standard eval protocol (ASVspoof, ADD, In-the-Wild, …) with embedded audio.

Companion code: github.com/Shuo-H/df_eval

Configs are added as uploads complete. Declared configs below match currently available parquet shards on the Hub.

Load

from datasets import load_dataset

ds = load_dataset("shuohann/df_eval", name="sonar", split="test")
print(ds[0]["audio"], ds[0]["label"], ds[0]["file_id"])

Schema

column	type	description
audio	Audio	waveform
label	ClassLabel(bonafide, spoof)	ground-truth
file_id	string	basename of original file
source	string	config name
path	string	original protocol path (metadata)

Split: test only.

Planned configs

Aligned with Speech DF Arena protocol files:

asvspoof_2019, asvspoof_2021_la, asvspoof_2021_df, asvspoof_2024
add_2022_track_1, add_2022_track_3, add_2023_round_1, add_2023_round_2
codecfake, dfadd, fake_or_real, in_the_wild, librisevoc, sonar

License / redistribution notice

This Hub dataset repackages evaluation audio from multiple third-party corpora. Each source has its own license (often research / non-commercial). Upstream sources include:

You are responsible for complying with each original license. Prefer citing and downloading from the original authors when required. The uploader does not claim ownership of the underlying audio.

Citation

Please cite the original dataset papers for any config you use, and Speech DF Arena if you use their protocol definitions.