{"url":"/dataset/whyact","name":"WhyAct","full_name":null,"description_markdown":"**WhyAct** is a dataset for identifying human action reasons in online videos, consisting of 1,077 visual actions manually annotated with their reasons.","description_withheld":null,"homepage":"https://github.com/MichiganNLP/vlog_action_reason","introduced_date":"2021-09-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/whyact-identifying-action-reasons-in","title":"WhyAct: Identifying Action Reasons in Lifestyle Vlogs","first_author":"Oana Ignat","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["WhyAct"],"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."}