{"url":"/dataset/movienet-tevis","name":"MovieNet-TeViS","full_name":null,"description_markdown":"MovieNet-TeViS is a synopsis-storyboard pair dataset to facilitate the Text synopsis to Video Storyboard (TeViS). In the TeViS task, we aim to retrieve an ordered sequence of images from large-scale movie database as video storyboard to visualize an input text synopsis.","description_withheld":null,"homepage":"","introduced_date":"2022-12-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/translating-text-synopses-to-video","title":"TeViS:Translating Text Synopses to Video Storyboards","first_author":"Xu Gu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["MovieNet-TeViS"],"data_loaders":[],"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."}