{"url":"/dataset/lakh-midi-dataset","name":"Lakh MIDI Dataset","full_name":null,"description_markdown":"The Lakh MIDI dataset is a collection of 176,581 unique MIDI files, 45,129 of which have been matched and aligned to entries in the Million Song Dataset. Its goal is to facilitate large-scale music information retrieval, both symbolic (using the MIDI files alone) and audio content-based (using information extracted from the MIDI files as annotations for the matched audio files). Around 10% of all MIDI files include timestamped lyrics events with lyrics are often transcribed at the word, syllable or character level.\r\n\r\nLMD-full denotes the whole dataset. LMD-matched is the subset of LMD-full that consists of MIDI files matched with the Million Song Dataset entries. LMD-aligned contains all the files of LMD-matched, aligned to preview MP3s from the Million Song Dataset.\r\n\r\nA lakh is a unit of measure used in the Indian number system which signifies 100,000.\r\n\r\nSource: [https://colinraffel.com/projects/lmd/](https://colinraffel.com/projects/lmd/)\r\nAudio Source: [https://colinraffel.com/projects/lmd/](https://colinraffel.com/projects/lmd/)","description_withheld":null,"homepage":"https://colinraffel.com/projects/lmd/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching","first_author":null,"url":"http://colinraffel.com/publications/thesis.pdf"},"license":{"name":"CC-BY 4.0","url":"http://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Lyrics","url":"/datasets/modality/lyrics"},{"name":"Midi","url":"/datasets/modality/midi"}],"tasks":[{"name":"Music Modeling","url":"/task/music-modeling","datasets_with_task":"/datasets/task/music-modeling"},{"name":"Music Generation","url":"/task/music-generation","datasets_with_task":"/datasets/task/music-generation"}],"languages":[],"variants":["Lakh MIDI Dataset"],"data_loaders":[{"repo":"https://github.com/marinasie/music_genre_transformation","url":"https://github.com/marinasie/music_genre_transformation","frameworks":["tf","pytorch"]}],"num_papers_in_archive":36,"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."}