{"url":"/dataset/instructopenwiki","name":"InstructOpenWiki","full_name":null,"description_markdown":"**InstructOpenWiki** is a substantial instruction tuning dataset for Open-world IE enriched with a comprehensive corpus, extensive annotations, and diverse instructions.\r\n\r\nSource: [PIVOINE: Instruction Tuning for Open-world Information Extraction](https://arxiv.org/pdf/2305.14898v1.pdf)\r\n\r\nImage Source: [PIVOINE: Instruction Tuning for Open-world Information Extraction](https://arxiv.org/pdf/2305.14898v1.pdf)","description_withheld":null,"homepage":"https://huggingface.co/datasets/keminglu/InstructOpenWiki","introduced_date":"2023-05-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/pivoine-instruction-tuning-for-open-world","title":"PIVOINE: Instruction Tuning for Open-world Information Extraction","first_author":"Keming Lu","url":null},"license":{"name":"MIT License","url":"https://huggingface.co/datasets?license=license:mit"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"},{"name":"Instruction Following","url":"/task/instruction-following","datasets_with_task":"/datasets/task/instruction-following"}],"languages":[],"variants":["InstructOpenWiki"],"data_loaders":[],"num_papers_in_archive":1,"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."}