{"url":"/dataset/eduvsum","name":"EDUVSUM","full_name":"Educational Video Summarization","description_markdown":"EDUVSUM contains educational videos with subtitles from three popular e-learning platforms: Edx,YouTube, and TIB AV-Portal that cover the following topics: crash course on history of science and engineering, computer science, python and web programming, machine learning and computer vision, Internet of things (IoT), and software engineering. In total, the current version of the dataset contains 98 videos with ground truth values annotated by a user with an academic background in computer science.\r\n\r\nSource: [EDUVSUM](https://github.com/VideoAnalysis/EDUVSUM)","description_withheld":null,"homepage":"https://github.com/VideoAnalysis/EDUVSUM","introduced_date":"2020-10-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/classification-of-important-segments-in","title":"Classification of Important Segments in Educational Videos using Multimodal Features","first_author":"Junaid Ahmed Ghauri","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["EDUVSUM"],"data_loaders":[{"repo":"https://github.com/VideoAnalysis/EDUVSUM","url":"https://github.com/VideoAnalysis/EDUVSUM","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."}