{"url":"/dataset/kodf","name":"KoDF","full_name":"Korean DeepFake Detection Dataset","description_markdown":"The Korean DeepFake Detection Dataset (KoDF) is a large-scale collection of synthesized and real videos focused on Korean subjects, used for the task of deepfake detection.\r\n\r\nThe dataset consists of 62,166 real videos and 175,776 fake videos from 403 subjects. The fake videos are created using 6 different methods: FaceSwap, DeepFaceLab, FSGAN, FOMM, ATFHP and Wav2Lip.","description_withheld":null,"homepage":"https://moneybrain-research.github.io/kodf","introduced_date":"2021-03-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/kodf-a-large-scale-korean-deepfake-detection","title":"KoDF: A Large-scale Korean DeepFake Detection Dataset","first_author":"Patrick Kwon","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"DeepFake Detection","url":"/task/deepfake-detection","datasets_with_task":"/datasets/task/deepfake-detection"}],"languages":[],"variants":["KoDF"],"data_loaders":[],"num_papers_in_archive":27,"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."}