{"url":"/dataset/tripod","name":"TRIPOD","full_name":"TuRnIng POint Dataset","description_markdown":"TRIPOD contains screenplays and plot synopses with turning point (TP) annotations for 99 movies. Each movie contains:\r\n\r\n1. The Wikipedia plot synopsis (extended summary of 35 sentences on average) with sentence-level TP annotations.\r\n2. The screenplay (all dialogue and description parts of the movie) segmented into scenes (selected from the Scriptbase dataset).\r\n3. Gold scene-level TP labels for the screenplays of the test set.\r\n3. The cast information (according to IMDb).\r\n\r\nTRIPOD is extended in [Movie Summarization via Sparse Graph Construction](https://arxiv.org/pdf/2012.07536.pdf) with more movies in the test set (122 now in total) and multimodal features extracted from the full-length movie videos. The multimodal version can be found here: https://datashare.ed.ac.uk/handle/10283/3819","description_withheld":null,"homepage":"https://github.com/ppapalampidi/TRIPOD","introduced_date":"2019-08-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/movie-plot-analysis-via-turning-point","title":"Movie Plot Analysis via Turning Point Identification","first_author":"Pinelopi Papalampidi","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TRIPOD"],"data_loaders":[{"repo":"https://github.com/ppapalampidi/TRIPOD","url":"https://github.com/ppapalampidi/TRIPOD","frameworks":[]}],"num_papers_in_archive":11,"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."}