{"url":"/dataset/mvsep","name":"MVSep","full_name":null,"description_markdown":"**MVSep** is a synthetic dataset for the vocal separation task created by combining random vocal and instrumental samples, publicly available on the internet. The sourced samples were separated into two sets (vocal-only and instrumental-only) and then randomly mixed together. The mixtures may not always sound like a real melody, but they allow for testing audio separation methods. Synth MVSep dataset consists of 100 tracks, each with a duration of exactly one minute and a sample rate of 44.1 kHz.\r\n\r\nSource: [Benchmarks and leaderboards for sound demixing tasks](https://arxiv.org/pdf/2305.07489v1.pdf)","description_withheld":null,"homepage":"https://mvsep.com/quality_checker/","introduced_date":"2023-05-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/benchmarks-and-leaderboards-for-sound","title":"Benchmarks and leaderboards for sound demixing tasks","first_author":"Roman Solovyev","url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["MVSep"],"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."}