{"url":"/dataset/spanex","name":"SpanEX","full_name":null,"description_markdown":"Reasoning over spans of tokens from different parts of the input is essential for natural language understanding (NLU) tasks such as fact-checking (FC), machine reading comprehension (MRC) or natural language inference (NLI). We introduce SpanEx, a multi-annotator dataset of human-annotated span interaction explanations for two NLU tasks: NLI and FC.\r\n\r\nSpanEx \r\n- consists of 7071 instances annotated for span interactions. \r\n- the first dataset with human phrase-level interaction explanations with explicit labels for interaction types.\r\n- annotated by three annotators, which opens new avenues for studies of human explanation agreement -- an understudied area in the explainability literature.","description_withheld":null,"homepage":"https://huggingface.co/datasets/copenlu/spanex","introduced_date":"2023-12-11","introduced_date_note":null,"introduced_by":null,"license":{"name":"mit","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Explanation Generation","url":"/task/explanation-generation","datasets_with_task":"/datasets/task/explanation-generation"},{"name":"Explainable Artificial Intelligence (XAI)","url":"/task/xai","datasets_with_task":"/datasets/task/xai"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SpanEX"],"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."}