{"url":"/dataset/musescore","name":"MuseScore","full_name":null,"description_markdown":"The **MuseScore** dataset is a collection of 344,166 audio and MIDI pairs downloaded from [MuseScore](https://musescore.org/) website. The audio is usually synthesized by the MuseScore synthesizer. The audio clips have diverse musical genres and are about two mins long on average.\r\n\r\nDue to copyright issues the dataset is not publicly available, but can be collected and processed with the provided source code.\r\n\r\nSource: [Multitask learning for frame-level instrument recognition](https://arxiv.org/pdf/1811.01143.pdf)\r\nImage Source: [https://biboamy.github.io/instrument-demo/demo.html](https://biboamy.github.io/instrument-demo/demo.html)\r\nAudio Source: [Somewhere over the rainbow](https://biboamy.github.io/instrument-demo/demo.html)","description_withheld":null,"homepage":"https://biboamy.github.io/streaming-demo/main_site/","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/multitask-learning-for-frame-level-instrument","title":"Multitask learning for frame-level instrument recognition","first_author":null,"url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Music Source Separation","url":"/task/music-source-separation","datasets_with_task":"/datasets/task/music-source-separation"}],"languages":[],"variants":["MuseScore"],"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."}