{"url":"/dataset/liar-raw","name":"LIAR-RAW","full_name":"LIAR-RAW","description_markdown":"For LIAR-RAW, we extended the public dataset LIAR-PLUS (Alhindi et al., 2018) with relevant raw reports, containing fine-grained claims from Politifact. LIAR-RAW is based on LIAR, where gold labels refer to Politifact. To alleviate the dependency of fact-checked reports, we extended the public LIAR dataset with additional raw reports for each claim. Besides, we put these raw reports into a single file with the format of LIAR.\r\n\r\nProvide:\r\n* A novel benchmark dataset for Explainable fake news detection.","description_withheld":null,"homepage":"https://github.com/Nicozwy/CofCED/tree/main/Datasets/LIAR-RAW","introduced_date":"2022-09-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-coarse-to-fine-cascaded-evidence","title":"A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection","first_author":"Zhiwei Yang","url":null},"license":{"name":"Apache-2.0 license","url":null},"modalities":[],"tasks":[{"name":"Stance Detection","url":"/task/stance-detection","datasets_with_task":"/datasets/task/stance-detection"},{"name":"Fake News Detection","url":"/task/fake-news-detection","datasets_with_task":"/datasets/task/fake-news-detection"},{"name":"Misinformation","url":"/task/misinformation","datasets_with_task":"/datasets/task/misinformation"}],"languages":[],"variants":["LIAR","RAWFC"],"data_loaders":[],"num_papers_in_archive":9,"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."}