{"url":"/dataset/mugen","name":"MUGEN","full_name":null,"description_markdown":"**MUGEN** is a large-scale video-audio-text dataset MUGEN, collected using the open-sourced platform game CoinRun. MUGEN can help progress research in many tasks in multimodal understanding and generation.","description_withheld":null,"homepage":"https://github.com/mugen-org/MUGEN_coinrun","introduced_date":"2022-04-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/mugen-a-playground-for-video-audio-text","title":"MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration","first_author":"Thomas Hayes","url":null},"license":{"name":"CC-BY-NC","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MUGEN"],"data_loaders":[],"num_papers_in_archive":10,"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."}