{"url":"/dataset/omg-emotion","name":"OMG-Emotion","full_name":"One-Minute Gradual-Emotional Behavior","description_markdown":"The One-Minute Gradual-Emotional Behavior dataset (**OMG-Emotion**) dataset is composed of Youtube videos which are around a minute in length and are annotated taking into consideration a continuous emotional behavior. The videos were selected using a crawler technique that uses specific keywords based on long-term emotional behaviors such as \"monologues\", \"auditions\", \"dialogues\" and \"emotional scenes\".\r\n\r\nIt contains 567 emotion videos with an average length of 1 minute, collected from a variety of Youtube channels. The videos were separated into clips based on utterances, and each utterance was annotated by at least five independent subjects using the Amazon Mechanical Turk tool.","description_withheld":null,"homepage":"https://www2.informatik.uni-hamburg.de/wtm/OMG-EmotionChallenge/","introduced_date":"2018-03-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-omg-emotion-behavior-dataset","title":"The OMG-Emotion Behavior Dataset","first_author":null,"url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["OMG-Emotion"],"data_loaders":[],"num_papers_in_archive":17,"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."}