{"url":"/dataset/mafiascum","name":"Mafiascum","full_name":null,"description_markdown":"A collection of over 700 games of Mafia, in which players are randomly assigned either deceptive or non-deceptive roles and then interact via forum postings. Over 9000 documents were compiled from the dataset, which each contained all messages written by a single player in a single game. This corpus was used to construct a set of hand-picked linguistic features based on prior deception research, as well as a set of average word vectors enriched with subword information. \r\n\r\nSource: [The Mafiascum Dataset: A Large Text Corpus for Deception Detection](/paper/the-mafiascum-dataset-a-large-text-corpus-for)","description_withheld":null,"homepage":"https://bitbucket.org/bopjesvla/thesis/src/master/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-mafiascum-dataset-a-large-text-corpus-for","title":"The Mafiascum Dataset: A Large Text Corpus for Deception Detection","first_author":"Bob de Ruiter","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Deception Detection","url":"/task/deception-detection","datasets_with_task":"/datasets/task/deception-detection"}],"languages":[],"variants":["Mafiascum"],"data_loaders":[{"repo":"https://bitbucket.org/bopjesvla/thesis","url":"https://bitbucket.org/bopjesvla/thesis","frameworks":[]}],"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."}