Welcome to MLAAD-tiny

MLAAD-tiny is a very small subset of the full 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.

Dataset composition

Bona-fide

• Source: M-AILABS
• ~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).