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Music Emotion Recognition datasets

archive 2025-07-28

5 datasets carry the task tag "Music Emotion Recognition" (the task itself: Music Emotion Recognition), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Music Emotion Recognition datasets 1–5 of 5

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7,356 files (total size: 24.8 GB).
27 papers · 6 benchmarks
VGMIDI is a dataset of piano arrangements of video game soundtracks.
15 papers · 0 benchmarks
It contains 900 audio clips, annotated into 4 quadrants, according to Russell's model.
1 paper · 0 benchmarks
PIAST (PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
XMIDI is a comprehensive, large-scale symbolic music dataset that includes accurate emotion and genre labels, consisting of 108,023 MIDI files.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.