{"url":"/dataset/sherliic","name":"SherLIiC","full_name":"SherLIiC","description_markdown":"SherLIiC is a testbed for lexical inference in context (LIiC), consisting of 3985 manually annotated inference rule candidates (InfCands), accompanied by (i) ~960k unlabeled InfCands, and (ii) ~190k typed textual relations between Freebase entities extracted from the large entity-linked corpus ClueWeb09. Each InfCand consists of one of these relations, expressed as a lemmatized dependency path, and two argument placeholders, each linked to one or more Freebase types.\r\n\r\nSource: [SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference](https://arxiv.org/pdf/1906.01393v1.pdf)","description_withheld":null,"homepage":"https://github.com/mnschmit/SherLIiC","introduced_date":"2019-06-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/sherliic-a-typed-event-focused-lexical","title":"SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference","first_author":"Martin Schmitt","url":null},"license":{"name":"CC-BY","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Few-Shot NLI","url":"/task/few-shot-nli","datasets_with_task":"/datasets/task/few-shot-nli"},{"name":"Lexical Entailment","url":"/task/lexical-entailment","datasets_with_task":"/datasets/task/lexical-entailment"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SherLIiC"],"data_loaders":[{"repo":"https://github.com/mnschmit/SherLIiC","url":"https://github.com/mnschmit/SherLIiC","frameworks":[]}],"num_papers_in_archive":6,"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."}