Audio-alpaca
Introduced by Majumder et al. in Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization
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
Papers
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