{"url":"/dataset/imgedit","name":"ImgEdit","full_name":null,"description_markdown":"ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks.","description_withheld":null,"homepage":"","introduced_date":"2025-05-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/imgedit-a-unified-image-editing-dataset-and","title":"ImgEdit: A Unified Image Editing Dataset and Benchmark","first_author":"Yang Ye","url":null},"license":{"name":"MIT","url":"https://github.com/PKU-YuanGroup/ImgEdit"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text-based Image Editing","url":"/task/text-based-image-editing","datasets_with_task":"/datasets/task/text-based-image-editing"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ImgEdit"],"data_loaders":[],"num_papers_in_archive":4,"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."}