{"url":"/dataset/cfever","name":"CFEVER","full_name":null,"description_markdown":"- CFEVER is a Chinese Fact Extraction and VERification dataset published at AAAI 2024.\r\n- CFEVER comprises 30,012 manually created claims based on content in Chinese Wikipedia.\r\n- Inspired by the FEVER dataset (Thorne et al., 2018), we provide class labels (Supports, Refutes, or Not Enough Information) and evidence for each claim in the CFEVER dataset.\r\n- Download the dataset: https://github.com/IKMLab/CFEVER-data","description_withheld":null,"homepage":"https://ikmlab.github.io/CFEVER/","introduced_date":"2024-02-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/cfever-a-chinese-fact-extraction-and","title":"CFEVER: A Chinese Fact Extraction and VERification Dataset","first_author":"Ying-Jia Lin","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Zero-shot Text Search","url":"/task/zero-shot-text-search","datasets_with_task":"/datasets/task/zero-shot-text-search"},{"name":"Fact Checking","url":"/task/fact-checking","datasets_with_task":"/datasets/task/fact-checking"},{"name":"Fact Verification","url":"/task/fact-verification","datasets_with_task":"/datasets/task/fact-verification"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["CFEVER"],"data_loaders":[{"repo":"https://github.com/IKMLab/CFEVER-baselines","url":"https://github.com/IKMLab/CFEVER-baselines","frameworks":["pytorch"]}],"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."}