| --- |
| license: odc-by |
| language: |
| - en |
| pretty_name: ASVspoof 5 (track 1, eval) |
| task_categories: |
| - audio-classification |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: "data/test-*.parquet" |
| tags: |
| - anti-spoofing |
| - audio-deepfake-detection |
| - speech |
| - benchmark |
| - arena-ready |
| arxiv: |
| - "2408.08739" |
| --- |
| |
| # ASVspoof 5 (track 1, eval) |
|
|
| Benchmark-ready packaging of the **Track 1 (spoofing / deepfake detection) evaluation partition** of the ASVspoof 5 challenge, for speech anti-spoofing and synthetic / deepfake voice detection. |
|
|
| ## Overview |
|
|
| Track 1 is binary classification: **bonafide** (genuine human speech) vs. **spoof** (synthetic / converted speech). This packaging contains the full track_1 evaluation set. The original challenge is at https://www.asvspoof.org/. |
| |
| ## License & redistribution |
| |
| Redistributed under the **Open Data Commons Attribution License (ODC-By) v1.0**. See `LICENSE.txt`. Labels and the evaluation protocol are unmodified; audio is the original 16 kHz mono FLAC, embedded bit-exactly (no re-encode — a full decode probe of all 680,774 clips passed cleanly). |
| |
| ## Schema |
| |
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `path` | `string` | `<utterance_id>.flac`, unique | |
| | `audio` | `Audio(16000)` | 16 kHz mono FLAC | |
| | `label` | `ClassLabel` | `"bonafide"` (0) / `"spoof"` (1) | |
| | `notes` | `string` | JSON: `utterance_id`, `speaker_id`, `gender`, `codec`, `codec_id`, `source_id`, `attack_condition`, `attack_id` | |
| |
| `notes` example: |
| ```json |
| {"utterance_id": "E_0009538969", "speaker_id": "E_1607", "gender": "M", "codec": "C05", "codec_id": "2", "source_id": "E_0009486171", "attack_condition": "AC1", "attack_id": "A26"} |
| ``` |
| |
| ## Quick Start |
| |
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("SpeechAntiSpoofingBenchmarks/ASVspoof5", split="test") |
| print(ds[0]) |
| ``` |
| |
| ## Stats |
| |
| | Stat | Value | |
| |------|-------| |
| | Total trials | 680,774 | |
| | Bonafide | 138,688 | |
| | Spoof | 542,086 | |
| |
| ## Source provenance |
| |
| - Original challenge: https://www.asvspoof.org/ |
| - Evaluation protocol: `ASVspoof5.eval.track_1.tsv` |
| |
| ## Evaluation |
| |
| For evaluation instructions and submission format, see [`submissions/README.md`](submissions/README.md). |
| |
| ## Citation |
| |
| ```bibtex |
| @inproceedings{wang2024asvspoof5, |
| title = {{ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale}}, |
| author = {Wang, Xin and Delgado, H{\'e}ctor and Tak, Hemlata and others}, |
| year = {2024}, |
| booktitle = {ASVspoof Workshop 2024}, |
| } |
| ``` |
| |
| ## Maintainer |
| |
| Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks). |
| - Email: ~~k.n.borodin@mtuci.ru~~ (deprecated — use kborodin.research@gmail.com) |
| - Telegram: [@korallll_ai](https://t.me/korallll_ai) |
| |
