{"url":"/dataset/arnli","name":"ArNLI","full_name":null,"description_markdown":"Natural Language Inference processes pairs of sentences to extract their semantic relations.\r\nPair sentences are annotated with three classes (Contradictions, Entailment, Neutral). \r\n\r\n1- Entailment: A and B intersect (A ∩ B ≠ ∅, A ∪ B ≠ Universe) or one may contain another ((A ∁ B) OR (B ∁ A)).\r\n2- Contradiction: A, and B cannot be together, if A is True then B is False (A ∩ B = ∅, and A ∪ B = Universe). \r\n3- Neutral: A, and B have no semantic relations. Each one of them is a different set in the universe. No intersection and their union is a subset of the universe, not all universe (A ∩ B = ∅ and A ∪ B ≠Universe)","description_withheld":null,"homepage":"https://github.com/Khloud-AL/ArNLI","introduced_date":"2022-09-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/arnli-arabic-natural-language-inference-for","title":"ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection","first_author":"Khloud Al Jallad","url":null},"license":null,"modalities":[],"tasks":[{"name":"Natural Language Inference","url":"/task/natural-language-inference","datasets_with_task":"/datasets/task/natural-language-inference"}],"languages":[{"name":"Arabic","url":"/datasets/language/arabic"}],"variants":["ArNLI"],"data_loaders":[],"num_papers_in_archive":2,"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."}