Datasets:
| license: cc-by-nc-4.0 | |
| task_categories: | |
| - audio-classification | |
| language: | |
| - en | |
| tags: | |
| - deepfake | |
| - deepfake-detection | |
| - audio-deepfake | |
| - audio-deepfake-detection | |
| - mlaad | |
| pretty_name: MLAAD tiny | |
| size_categories: | |
| - 10K<n<100K | |
| # Welcome to MLAAD-tiny | |
| **MLAAD-tiny** is a very small subset of the full [MLAAD](https://huggingface.co/datasets/mueller91/MLAAD) dataset, designed for **education, prototyping, and debugging**. | |
| Many teaching environments (e.g. Colab, Kaggle, university notebooks) impose **strict storage limits**, which makes large-scale audio deepfake datasets impractical to use. To address this, we provide **MLAAD-tiny**, a compact yet representative version of MLAAD. | |
| ## Download | |
| ``` | |
| git lfs install | |
| git clone https://huggingface.co/datasets/mueller91/MLAAD-tiny | |
| ``` | |
| ## Dataset composition | |
| ### Bona-fide | |
| - Source: [M-AILABS](https://github.com/i-celeste-aurora/m-ailabs-dataset) | |
| - ~6,000 audio files | |
| - ~1.9 GB | |
| - English | |
| ### Spoof | |
| - 64 TTS systems | |
| - 100 samples per system (randomly selected from MLAAD) | |
| - ~6,400 audio files | |
| - ~2.3 GB | |
| - English (for training) and German (for testing) | |
| ## License | |
| - **Bona-fide audio** is redistributed from M-AILABS under its original license | |
| (see `original/LICENSE`). | |
| - **Spoofed audio** is redistributed under the **MLAAD v8 license (CC BY-NC 4.0)**. | |