{"url":"/dataset/audio-alpaca","name":"Audio-alpaca","full_name":null,"description_markdown":"# Audio-alpaca: A preference dataset for aligning text-to-audio models\r\n\r\nAudio-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.\r\n\r\n## Field details\r\n\r\n**prompt**: Given textual prompt\r\n\r\n**chosen**: The preferred audio sample\r\n\r\n**rejected**: The rejected audio sample","description_withheld":null,"homepage":"https://huggingface.co/datasets/declare-lab/audio-alpaca","introduced_date":"2024-04-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/tango-2-aligning-diffusion-based-text-to","title":"Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization","first_author":"Navonil Majumder","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Audio Generation","url":"/task/audio-generation","datasets_with_task":"/datasets/task/audio-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Audio-alpaca"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}