{"url":"/dataset/medleydb","name":"MedleyDB","full_name":null,"description_markdown":"**MedleyDB**, is a dataset of annotated, royalty-free multitrack recordings. It was curated primarily to support research on melody extraction. For each song melody f₀ annotations are provided as well as instrument activations for evaluating automatic instrument recognition. The original dataset consists of 122 multitrack songs out of which 108 include melody annotations.\r\n\r\nThe songs in MedleyDB were obtained from the following sources:\r\n\r\n* Independent Artists (30 songs)\r\n* NYU's Dolan Recording Studio (32 songs)\r\n* Weathervane Music (25 songs)\r\n* Music Delta (35 songs)\r\n\r\nMedleyDB contains songs of a variety of musical genres: Singer/Songwriter, Classical, Rock, World/Folk, Fusion, Jazz, Pop, Musical Theatre, Rap. For each song three types of audio content are given: a mix, stems, and raw audio. All types of audio files are .wav files with a sample rate of 44.1 kHz and a bit depth of 16.\r\n\r\nSource: [https://medleydb.weebly.com/](https://medleydb.weebly.com/)\r\nImage Source: [https://medleydb.weebly.com/](https://medleydb.weebly.com/)\r\nAudio Source: [https://zenodo.org/record/1438309](https://zenodo.org/record/1438309)","description_withheld":null,"homepage":"https://medleydb.weebly.com/","introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research","first_author":null,"url":"http://www.terasoft.com.tw/conf/ismir2014/proceedings/T028_322_Paper.pdf"},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Music Source Separation","url":"/task/music-source-separation","datasets_with_task":"/datasets/task/music-source-separation"},{"name":"Music Information Retrieval","url":"/task/music-information-retrieval","datasets_with_task":"/datasets/task/music-information-retrieval"}],"languages":[],"variants":["MedleyDB"],"data_loaders":[],"num_papers_in_archive":47,"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."}