{"url":"/dataset/groove-midi-dataset","name":"Groove","full_name":"Groove MIDI Dataset","description_markdown":"The **Groove MIDI Dataset (GMD)** is composed of 13.6 hours of aligned MIDI and (synthesized) audio of human-performed, tempo-aligned expressive drumming. The dataset contains 1,150 MIDI files and over 22,000 measures of drumming.","description_withheld":null,"homepage":"https://magenta.tensorflow.org/datasets/groove","introduced_date":"2019-05-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-groove-with-inverse-sequence","title":"Learning to Groove with Inverse Sequence Transformations","first_author":"Jon Gillick","url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Beat Tracking","url":"/task/beat-tracking","datasets_with_task":"/datasets/task/beat-tracking"},{"name":"Downbeat Tracking","url":"/task/downbeat-tracking","datasets_with_task":"/datasets/task/downbeat-tracking"},{"name":"Quantization","url":"/task/quantization","datasets_with_task":"/datasets/task/quantization"},{"name":"Active Learning","url":"/task/active-learning","datasets_with_task":"/datasets/task/active-learning"},{"name":"Music Generation","url":"/task/music-generation","datasets_with_task":"/datasets/task/music-generation"}],"languages":[],"variants":["Groove"],"data_loaders":[{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/groove","frameworks":["tf","jax"]}],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/beat-tracking-on-groove","task":"Beat Tracking","dataset_variant":"Groove","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"Beat This!","paper":"/paper/beat-this-accurate-beat-tracking-without-dbn","metrics":{"F1":"93.7"},"code_links":[{"title":"CPJKU/beat_this","url":"https://github.com/CPJKU/beat_this"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/downbeat-tracking-on-groove","task":"Downbeat Tracking","dataset_variant":"Groove","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"Beat This!","paper":"/paper/beat-this-accurate-beat-tracking-without-dbn","metrics":{"F1":"82.1"},"code_links":[{"title":"CPJKU/beat_this","url":"https://github.com/CPJKU/beat_this"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/beat-this-accurate-beat-tracking-without-dbn","title":"Beat this! Accurate beat tracking without DBN postprocessing","date":"2024-07-31","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"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."}