{"url":"/dataset/imppres","name":"IMPPRES","full_name":null,"description_markdown":"An IMPlicature and PRESupposition diagnostic dataset (IMPPRES), consisting of >25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types.\r\n\r\nSource: [Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition](/paper/are-natural-language-inference-models)","description_withheld":null,"homepage":"https://github.com/facebookresearch/Imppres","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/are-natural-language-inference-models","title":"Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition","first_author":"Paloma Jeretic","url":null},"license":null,"modalities":[],"tasks":[{"name":"Natural Language Inference","url":"/task/natural-language-inference","datasets_with_task":"/datasets/task/natural-language-inference"},{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"},{"name":"Lexical Entailment","url":"/task/lexical-entailment","datasets_with_task":"/datasets/task/lexical-entailment"}],"languages":[],"variants":["IMPPRES"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/facebook/imppres","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/imppres","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/facebookresearch/ImpPres","url":"https://github.com/facebookresearch/Imppres","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."}