{"url":"/dataset/lsmdc-context","name":"LSMDC-Context","full_name":null,"description_markdown":"The Large Scale Movie Description Challenge (LSMDC) - Context is an augmented version of the original LSMDC dataset with movie scripts as contextual text.\n\nSource: [https://github.com/primle/LSMDC-Context](https://github.com/primle/LSMDC-Context)","description_withheld":null,"homepage":"https://github.com/primle/LSMDC-Context","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/enriching-video-captions-with-contextual-text","title":"Enriching Video Captions With Contextual Text","first_author":"Philipp Rimle","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Captioning","url":"/task/video-captioning","datasets_with_task":"/datasets/task/video-captioning"}],"languages":[],"variants":["LSMDC-Context"],"data_loaders":[{"repo":"https://github.com/primle/LSMDC-Context","url":"https://github.com/primle/LSMDC-Context","frameworks":[]}],"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."}