{"url":"/dataset/mafw","name":"MAFW","full_name":null,"description_markdown":"**MAFW** is a large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild. It contains 10,045 video-audio clips, annotated with a compound emotional category and a couple of sentences that describe the subjects' affective behaviors in the clip. For the compound emotion annotation, each clip is categorized into one or more of the 11 widely-used emotions, i.e., anger, disgust, fear, happiness, neutral, sadness, surprise, contempt, anxiety, helplessness, and disappointment.","description_withheld":null,"homepage":"https://mafw-database.github.io/MAFW/","introduced_date":"2022-08-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/mafw-a-large-scale-multi-modal-compound","title":"MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild","first_author":"Yuanyuan Liu","url":null},"license":{"name":"MIT license","url":"https://github.com/MAFW-database/MAFW/blob/main/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"},{"name":"Dynamic Facial Expression Recognition","url":"/task/dynamic-facial-expression-recognition","datasets_with_task":"/datasets/task/dynamic-facial-expression-recognition"},{"name":"Zero-Shot Facial Expression Recognition","url":"/task/zero-shot-facial-expression-recognition","datasets_with_task":"/datasets/task/zero-shot-facial-expression-recognition"}],"languages":[],"variants":["MAFW"],"data_loaders":[],"num_papers_in_archive":31,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/zero-shot-facial-expression-recognition-on","task":"Zero-Shot Facial Expression Recognition","dataset_variant":"MAFW","rows":1,"metrics":["UAR","WAR"],"first_row_in_archive_order":{"model":"EmoCLIP","paper":"/paper/emoclip-a-vision-language-method-for-zero","metrics":{"UAR":"25.86","WAR":"33.49"},"code_links":[{"title":"nickyfot/emoclip","url":"https://github.com/nickyfot/emoclip"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/emotion-recognition-on-mafw","task":"Emotion Recognition","dataset_variant":"MAFW","rows":0,"metrics":["Unweighted average recall"],"first_row_in_archive_order":null,"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/emoclip-a-vision-language-method-for-zero","title":"EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition","date":"2023-10-25","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":4,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":10,"samples_ran":4,"samples_unverified":6,"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."}