{"url":"/dataset/real-fake-news","name":"real-fake-news","full_name":null,"description_markdown":"This the dataset for Every Language Counts: Learn and Unlearn in Multilingual LLMs.\r\n\r\nEach of the 100 row contains a GPT generated 'real' news article, a corresponding 'fake' news article with injected fake information, and the 'fake' keyword. It contains 10 Q&A pairs on 'real' news for instruction tunning. We also provide one question to evaluate 'real' news understanding and another question to count the appearance of 'fake' detail.","description_withheld":null,"homepage":"https://huggingface.co/datasets/TaiMingLu/news-truthful","introduced_date":"2024-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/every-language-counts-learn-and-unlearn-in","title":"Learn and Unlearn in Multilingual LLMs","first_author":"Taiming Lu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["real-fake-news"],"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."}