{"url":"/dataset/safeedit","name":"SafeEdit","full_name":null,"description_markdown":"SafeEdit encompasses 4,050 training, 2,700 validation, and 1,350 test instances. \r\nSafeEdit can be utilized across a range of methods, from supervised fine-tuning to reinforcement learning that demands preference data for more secure responses, as well as knowledge editing methods that require a diversity of evaluation texts.","description_withheld":null,"homepage":"","introduced_date":"2024-03-22","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC-SA 4.0 license","url":"https://huggingface.co/datasets/zjunlp/SafeEdit"},"modalities":[],"tasks":[{"name":"Neural Network Security","url":"/task/neural-network-security","datasets_with_task":"/datasets/task/neural-network-security"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SafeEdit"],"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."}