| --- |
| license: apache-2.0 |
| language: [en] |
| pretty_name: In-the-Wild Audio Deepfake Dataset |
| task_categories: [audio-classification] |
| size_categories: [10K<n<100K] |
| configs: |
| - config_name: default |
| data_files: |
| - {split: test, path: "data/test-*.parquet"} |
| tags: |
| - anti-spoofing |
| - audio-deepfake-detection |
| - speech |
| - benchmark |
| - arena-ready |
| paperswithcode_id: |
| arxiv: |
| - "2203.16263" |
| --- |
| |
| # In-the-Wild Audio Deepfake Dataset |
|
|
| Benchmark-ready packaging of the **In-the-Wild** audio deepfake dataset for speech |
| anti-spoofing / synthetic-voice detection. |
|
|
| ## Overview |
|
|
| In-the-Wild (Müller et al., *Does Audio Deepfake Detection Generalize?*, arXiv |
| 2203.16263) pairs genuine speech with audio deepfakes of politicians and public |
| figures, collected from publicly available sources. It is a **cross-domain |
| generalization** benchmark: models trained on lab datasets (e.g. ASVspoof) are |
| evaluated here against real-world conditions. The task is binary classification: |
| **bonafide** (genuine human speech) vs. **spoof** (deepfake). 31,779 clips |
| (19,963 bonafide / 11,816 spoof), 16 kHz mono. |
|
|
| ## License & redistribution |
|
|
| Redistributed under the **Apache License 2.0**; the full text is in `LICENSE.txt`. |
| Audio is the original 16 kHz mono signal encoded to FLAC (16-bit PCM). We thank |
| 'VocalSynthesis' for the audio deepfakes included in the source dataset. |
|
|
| ## Schema |
|
|
| Canonical 4-column parquet: `path` (string), `audio` (`Audio(16000)`), `label` |
| (`ClassLabel[bonafide, spoof]`), `notes` (JSON string with a unique |
| `utterance_id`, the `speaker` name, and the source `label` string). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{muller2022does, |
| title={Does Audio Deepfake Detection Generalize?}, |
| author={M{\"u}ller, Nicolas M and Czempin, Pavel and Dieckmann, Franziska and Froghyar, Adam and B{\"o}ttinger, Konstantin}, |
| booktitle={Interspeech}, |
| year={2022} |
| } |
| ``` |
|
|
