{"url":"/dataset/entailmentbank","name":"EntailmentBank","full_name":null,"description_markdown":"**EntailmentBank** is a dataset that contains multistep entailment trees. At each node in the tree (typically) two or more facts compose together to produce a new conclusion. Given a hypothesis (question + answer), three increasingly difficult explanation tasks are defined: generate a valid entailment tree given (a) all relevant sentences (the leaves of the gold entailment tree) (b) all relevant and some irrelevant sentences (c) a corpus.","description_withheld":null,"homepage":"https://allenai.org/data/entailmentbank","introduced_date":"2021-04-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/explaining-answers-with-entailment-trees","title":"Explaining Answers with Entailment Trees","first_author":"Bhavana Dalvi","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EntailmentBank"],"data_loaders":[],"num_papers_in_archive":52,"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."}