{"url":"/dataset/mocheg","name":"Mocheg","full_name":null,"description_markdown":"A large-scale dataset that consists of 21,184 claims, where each claim is assigned a truthfulness label and ruling statement, with 58,523 pieces of evidence in the form of text and images. It supports the end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidence and predicting a truthfulness label (i.e., support, refute and not enough information), and generate a rationalization statement to explain the reasoning and ruling process.","description_withheld":null,"homepage":"https://github.com/VT-NLP/Mocheg","introduced_date":"2022-05-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/end-to-end-multimodal-fact-checking-and","title":"End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models","first_author":"Barry Menglong Yao","url":null},"license":{"name":"CC BY 4.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"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"},{"name":"Claim Verification","url":"/task/claim-verification","datasets_with_task":"/datasets/task/claim-verification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Mocheg"],"data_loaders":[],"num_papers_in_archive":10,"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."}