{"url":"/dataset/cmd","name":"CMD","full_name":"Condensed Movies Dataset","description_markdown":"Consists of the key scenes from over 3K movies: each key scene is accompanied by a high level semantic description of the scene, character face-tracks, and metadata about the movie. The dataset is scalable, obtained automatically from YouTube, and is freely available for anybody to download and use. \r\n\r\nSource: [Condensed Movies: Story Based Retrieval with Contextual Embeddings](/paper/condensed-movies-story-based-retrieval-with)","description_withheld":null,"homepage":"https://www.robots.ox.ac.uk/~vgg/research/condensed-movies/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/condensed-movies-story-based-retrieval-with","title":"Condensed Movies: Story Based Retrieval with Contextual Embeddings","first_author":"Max Bain","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Retrieval","url":"/task/video-retrieval","datasets_with_task":"/datasets/task/video-retrieval"}],"languages":[],"variants":["CMD"],"data_loaders":[],"num_papers_in_archive":19,"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."}