{"url":"/dataset/suspectguilt-corpus","name":"SuspectGuilt Corpus","full_name":null,"description_markdown":"A corpus of annotated crime stories from English-language newspapers in the U.S. For SuspectGuilt, annotators read short crime articles and provided text-level ratings concerning the guilt of the main suspect as well as span-level annotations indicating which parts of the story they felt most influenced their ratings. SuspectGuilt thus provides a rich picture of how linguistic choices affect subjective guilt judgments.\r\n\r\nSource: [Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives](/paper/modeling-subjective-assessments-of-guilt-in)","description_withheld":null,"homepage":"https://github.com/zijwang/modeling_guilt","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/modeling-subjective-assessments-of-guilt-in","title":"Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives","first_author":"Elisa Kreiss","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["SuspectGuilt Corpus"],"data_loaders":[{"repo":"https://github.com/zijwang/modeling_guilt","url":"https://github.com/zijwang/modeling_guilt","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":"2026-09-25T09:33:49+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."}