{"url":"/dataset/df40","name":"DF40","full_name":null,"description_markdown":"Forgery Diversity: DF40 comprises 40 distinct deepfake techniques (both representive and SOTA methods are included), facilitating the detection of nowadays' SOTA deepfakes and AIGCs. We provide 10 face-swapping methods, 13 face-reenactment methods, 12 entire face synthesis methods, and 5 face editing.\r\n\r\nForgery Realism: DF40 includes realistic deepfake data created by highly popular generation software and methods, e.g., HeyGen, MidJourney, DeepFaceLab, to simulate real-world deepfakes. We even include the just-released DiT, SiT, PixArt-$\\alpha$, etc.\r\n\r\nForgery Scale: DF40 offers million-level deepfake data scale for both images and videos.\r\n\r\nData Alignment: DF40 provides alignment between fake methods and data domains. Most methods (31) are generated under the FF++ and CDF domains. Using our fake data, you can further expand your evaluation (training on FF++ and testing on CDF).","description_withheld":null,"homepage":"https://yzy-stack.github.io/homepage_for_df40/","introduced_date":"2024-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/df40-toward-next-generation-deepfake","title":"DF40: Toward Next-Generation Deepfake Detection","first_author":"Zhiyuan Yan","url":null},"license":null,"modalities":[],"tasks":[{"name":"DeepFake Detection","url":"/task/deepfake-detection","datasets_with_task":"/datasets/task/deepfake-detection"},{"name":"Fake Image Detection","url":"/task/fake-image-detection","datasets_with_task":"/datasets/task/fake-image-detection"}],"languages":[],"variants":["DF40"],"data_loaders":[],"num_papers_in_archive":11,"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."}