{"url":"/dataset/genericskb","name":"GenericsKB","full_name":"GenericsKB","description_markdown":"The **GenericsKB** contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as \"Dogs bark,\" and \"Trees remove carbon dioxide from the atmosphere.\" Generics are potentially useful as a knowledge source for AI systems requiring general world knowledge. The GenericsKB is the first large-scale resource containing naturally occurring generic sentences (as opposed to extracted or crowdsourced triples), and is rich in high-quality, general, semantically complete statements. Generics were primarily extracted from three large text sources, namely the Waterloo Corpus, selected parts of Simple Wikipedia, and the ARC Corpus. A filtered, high-quality subset is also available in GenericsKB-Best, containing 1,020,868 sentences.\r\n\r\nSource: [Allen Institute for AI](https://allenai.org/data/genericskb)","description_withheld":null,"homepage":"https://allenai.org/data/genericskb","introduced_date":"2020-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/genericskb-a-knowledge-base-of-generic","title":"GenericsKB: A Knowledge Base of Generic Statements","first_author":"Sumithra Bhakthavatsalam","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Open Information Extraction","url":"/task/open-information-extraction","datasets_with_task":"/datasets/task/open-information-extraction"}],"languages":[],"variants":["GenericsKB"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/community-datasets/generics_kb","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/generics_kb","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":26,"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."}