| --- |
| license: mit |
| language: [en] |
| pretty_name: "DFADD — Diffusion and Flow-Matching Based Audio Deepfake Dataset" |
| task_categories: [audio-classification] |
| size_categories: [1K<n<10K] |
| configs: |
| - config_name: default |
| data_files: |
| - {split: test, path: "data/test-*.parquet"} |
| tags: |
| - anti-spoofing |
| - audio-deepfake-detection |
| - speech |
| - benchmark |
| - arena-ready |
| - diffusion |
| - flow-matching |
| arxiv: ["2409.08731"] |
| --- |
| |
| # DFADD — Diffusion and Flow-Matching Based Audio Deepfake Dataset |
|
|
| Benchmark-ready packaging of the **DFADD** **test (eval) split** (*DFADD: The |
| Diffusion and Flow-Matching Based Audio Deepfake Dataset*, arXiv 2409.08731), a |
| VCTK-derived dataset targeting the newest generation of high-quality TTS |
| spoofing built on **diffusion** and **flow-matching** synthesizers. |
|
|
| ## Overview |
|
|
| Binary classification: **bonafide** (genuine VCTK recordings) vs. **spoof** |
| (text-to-speech generated from VCTK speakers). Label is the top-level source |
| directory. The spoof side spans **five** modern TTS systems: |
|
|
| | Generator | Family | Spoof clips (test) | |
| |-----------|--------|--------------------| |
| | Grad-TTS | diffusion | 600 | |
| | Matcha-TTS | flow-matching | 600 | |
| | NaturalSpeech 2 | latent diffusion | 600 | |
| | PFlow-TTS | flow-matching | 600 | |
| | StyleTTS 2 | diffusion (style) | 600 | |
|
|
| The bonafide side is the genuine VCTK audio held out for the test split (755 clips). |
|
|
| ## License & redistribution |
|
|
| Released under the **MIT License** (per the upstream DFADD release). Redistribution |
| is permitted with attribution; see `LICENSE.txt`. The underlying speech derives from |
| the **VCTK Corpus** (CC BY 4.0) — attribute both DFADD and VCTK. Audio is the |
| original 16 kHz mono FLAC/WAV, embedded bit-exactly (no re-encode — a full decode |
| probe of all test clips passed cleanly). |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `path` | `string` | source-relative path, e.g. `DATASET_GradTTS/test/p227_001_GradTTS.flac`, unique | |
| | `audio` | `Audio(16000)` | 16 kHz mono | |
| | `label` | `ClassLabel` | `"bonafide"` (0) / `"spoof"` (1) | |
| | `notes` | `string` | JSON: `utterance_id`, `generator`, `speaker`, `attack` | |
|
|
| `notes` example: |
| ```json |
| {"utterance_id": "gradtts__p227_001_GradTTS", "generator": "gradtts", "speaker": "p227", "attack": "gradtts"} |
| ``` |
|
|
| `utterance_id` is `<generator>__<filename-stem>` — the bare stem repeats across |
| generators (the same VCTK texts are synthesized), so the generator prefix is what |
| makes ids unique. Bonafide ids use the `vctk__` prefix. |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("SpeechAntiSpoofingBenchmarks/DFADD", split="test") |
| print(ds[0]) |
| ``` |
|
|
| ## Stats |
|
|
| | Stat | Value | |
| |------|-------| |
| | Total trials | 3,755 | |
| | Bonafide (VCTK) | 755 | |
| | Spoof (TTS) | 3,000 | |
| | Generators | Grad-TTS, Matcha-TTS, NaturalSpeech 2, PFlow-TTS, StyleTTS 2 (600 each) | |
| | Sample rate | 16 kHz mono | |
|
|
| ## Source provenance |
|
|
| - Paper: *DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset*, |
| arXiv 2409.08731 (https://arxiv.org/abs/2409.08731). |
| - Underlying speech: the **VCTK Corpus** (CC BY 4.0). |
|
|
| ## Evaluation |
|
|
| For evaluation instructions and submission format, see [`submissions/README.md`](submissions/README.md). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{du2024dfadd, |
| title = {{DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset}}, |
| author = {Du, Jiawei and others}, |
| journal = {arXiv preprint arXiv:2409.08731}, |
| year = {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) |
|
|
