{"url":"/dataset/vgmidi","name":"VGMIDI","full_name":null,"description_markdown":"VGMIDI is a dataset of piano arrangements of video game soundtracks. It contains 200 MIDI pieces labeled according to emotion and 3,850 unlabeled pieces. Each labeled piece was annotated by 30 human subjects according to the Circumplex (valence-arousal) model of emotion using a custom [web tool](https://github.com/lucasnfe/adl-music annotation).","description_withheld":null,"homepage":"https://github.com/lucasnfe/vgmidi","introduced_date":"2021-03-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-generate-music-with-sentiment","title":"Learning to Generate Music With Sentiment","first_author":"Lucas N. Ferreira","url":null},"license":null,"modalities":[{"name":"Midi","url":"/datasets/modality/midi"}],"tasks":[{"name":"Music Generation","url":"/task/music-generation","datasets_with_task":"/datasets/task/music-generation"},{"name":"Music Emotion Recognition","url":"/task/music-emotion-recognition","datasets_with_task":"/datasets/task/music-emotion-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["VGMIDI"],"data_loaders":[],"num_papers_in_archive":15,"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."}