{"url":"/dataset/fuss","name":"FUSS","full_name":"Free Universal Sound Separation","description_markdown":"The **Free Universal Sound Separation (FUSS)** dataset is a database of arbitrary sound mixtures and source-level references, for use in experiments on arbitrary sound separation. FUSS is based on FSD50K corpus.","description_withheld":null,"homepage":"https://github.com/google-research/sound-separation/blob/master/datasets/fuss/FUSS_license_doc/README.md","introduced_date":"2020-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/what-s-all-the-fuss-about-free-universal","title":"What's All the FUSS About Free Universal Sound Separation Data?","first_author":"Scott Wisdom","url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Audio Source Separation","url":"/task/audio-source-separation","datasets_with_task":"/datasets/task/audio-source-separation"}],"languages":[],"variants":["FUSS"],"data_loaders":[{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/fuss","frameworks":["tf","jax"]},{"repo":"https://github.com/google-research/sound-separation","url":"https://github.com/google-research/sound-separation","frameworks":[]}],"num_papers_in_archive":16,"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."}