{"url":"/dataset/v2vbench","name":"V2VBench","full_name":null,"description_markdown":"V2VBench is a comprehensive benchmark designed to evaluate video editing methods. It consists of:\r\n- 50 standardized videos across 5 categories, and\r\n- 3 editing prompts per video, encompassing 4 editing tasks: [Huggingface Datasets](https://huggingface.co/datasets/Wenhao-Sun/V2VBench)\r\n- 8 evaluation metrics to assess the quality of edited videos: [Evaluation Metrics](doc/README.md)\r\n\r\nFor detailed information, please refer to the accompanying paper.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Wenhao-Sun/V2VBench","introduced_date":"2024-06-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/diffusion-model-based-video-editing-a-survey","title":"Diffusion Model-Based Video Editing: A Survey","first_author":"Wenhao Sun","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Video Editing","url":"/task/video-editing","datasets_with_task":"/datasets/task/video-editing"},{"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":["V2VBench"],"data_loaders":[],"num_papers_in_archive":2,"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."}