Datasets › Audio-alpaca

Audio-alpaca

Introduced by Navonil Majumder et al. in Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization15 Apr 2024 archive 2025-07-28

Audio-alpaca: A preference dataset for aligning text-to-audio models

Audio-alpaca is a pairwise preference dataset containing about 15k (prompt,chosen, rejected) triplets where given a textual prompt, chosen is the preferred generated audio and rejected is the undesirable audio.

Field details

prompt: Given textual prompt

chosen: The preferred audio sample

rejected: The rejected audio sample

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Audio-alpaca

1 variant name, as the archive lists them.

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