{"url":"/dataset/muvi","name":"MuVi","full_name":"MusicVideos","description_markdown":"A dataset of music videos with continuous valence/arousal ratings as well as emotion tags. \r\n\r\nA unique feature is that ratings are provided in 3 modalities: \r\n\r\n- muted video\r\n\r\n- music only\r\n\r\n- music and video together\r\n\r\nThe github provides: \r\n\r\n- video_urls.csv: Contains the YouTube ids of MuVi dataset. We can also provide all the media files (for all modalities) upon e-mail request.\r\n\r\n- participant_data.csv: We provide the anonymised profile and demographic information of the annotators.\r\n\r\n- media_data.csv: Contains the static annotations which describe the media item’s overall emotion. The terms that were used are based on the GEMS-28 term list.\r\n\r\n- av_data.csv: Includes the dynamic (continuous) annotations for Valence and Arousal.","description_withheld":null,"homepage":"https://github.com/amaai-lab/muvi","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Music","url":"/datasets/modality/music"}],"tasks":[],"languages":[],"variants":["MuVi"],"data_loaders":[],"num_papers_in_archive":1,"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."}