{"url":"/dataset/charades-ego","name":"Charades-Ego","full_name":null,"description_markdown":"Contains 68,536 activity instances in 68.8 hours of first and third-person video, making it one of the largest and most diverse egocentric datasets available. Charades-Ego furthermore shares activity classes, scripts, and methodology with the Charades dataset, that consist of additional 82.3 hours of third-person video with 66,500 activity instances. \r\n\r\nSource: [Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos](https://arxiv.org/pdf/1804.09626v2.pdf)","description_withheld":null,"homepage":"https://prior.allenai.org/projects/charades-ego","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/charades-ego-a-large-scale-dataset-of-paired","title":"Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos","first_author":"Gunnar A. Sigurdsson","url":null},"license":{"name":"Custom (non-commercial)","url":"https://prior.allenai.org/projects/data/charades-ego/license.txt"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Video Understanding","url":"/task/video-understanding","datasets_with_task":"/datasets/task/video-understanding"},{"name":"Video Classification","url":"/task/video-classification","datasets_with_task":"/datasets/task/video-classification"}],"languages":[],"variants":["Charades-Ego"],"data_loaders":[],"num_papers_in_archive":33,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-recognition-on-charades-ego","task":"Action Recognition","dataset_variant":"Charades-Ego","rows":6,"metrics":["mAP"],"first_row_in_archive_order":{"model":"LaViLa (Finetuned, TimeSformer-L)","paper":"/paper/learning-video-representations-from-large","metrics":{"mAP":"36.1"},"code_links":[{"title":"facebookresearch/lavila","url":"https://github.com/facebookresearch/lavila"},{"title":"Ziyang412/VideoTree","url":"https://github.com/Ziyang412/VideoTree"},{"title":"ceezh/llovi","url":"https://github.com/ceezh/llovi"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/egovlpv2-egocentric-video-language-pre","title":"EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone","date":"2023-07-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hiervl-learning-hierarchical-video-language","title":"HierVL: Learning Hierarchical Video-Language Embeddings","date":"2023-01-05","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-video-representations-from-large","title":"Learning Video Representations from Large Language Models","date":"2022-12-08","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":20,"samples_ran":6,"samples_unverified":14,"pointer_only_for_licence":20,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/egocentric-video-language-pretraining","title":"Egocentric Video-Language Pretraining","date":"2022-06-03","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":2,"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":3,"samples_harvested":28,"samples_ran":13,"samples_unverified":15,"pointer_only_for_licence":27,"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."}