{"url":"/dataset/davis-edit","name":"DAVIS-Edit","full_name":null,"description_markdown":"DAVIS-Edit is a curated testing benchmark for video editing. This dataset contains two evaluation settings, i.e., text- and image-based editing. Besides, it offers two types of annotated for both modalities of prompts, considering the editing scenarios with similar (DAVIS-Edit-S) and changing (DAVIS-Edit-C) shapes, so as to address the shape inconsistency problem in video-to-video editing.","description_withheld":null,"homepage":"https://huggingface.co/datasets/AlonzoLeeeooo/DAVIS-Edit","introduced_date":"2024-11-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/stablev2v-stablizing-shape-consistency-in","title":"StableV2V: Stablizing Shape Consistency in Video-to-Video Editing","first_author":"Chang Liu","url":null},"license":{"name":"mit","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text-to-Video Editing","url":"/task/text-to-video-editing","datasets_with_task":"/datasets/task/text-to-video-editing"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DAVIS-Edit"],"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."}