{"url":"/dataset/ismir-genre","name":"ISMIR Genre","full_name":"ISMIR2004 Genre","description_markdown":"ISMIR2004 is an audio dataset consisting of 6 genres with 729 excerpts of 30 seconds. It is a dataset used for musical genre classification. The training set consists of 320 classical music samples, 115 electronic music samples, 26 jazz blues samples, 45 metal/punk samples, 101 rock/pop samples and 122 world samples.\n\nSource: [http://ismir2004.ismir.net/genre_contest/index.html](http://ismir2004.ismir.net/genre_contest/index.html)\nImage Source: [http://ismir2004.ismir.net/genre_contest/index.html](http://ismir2004.ismir.net/genre_contest/index.html)","description_withheld":null,"homepage":"http://ismir2004.ismir.net/genre_contest/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["ISMIR Genre"],"data_loaders":[],"num_papers_in_archive":0,"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."}