{"url":"/dataset/wikievents","name":"WikiEvents","full_name":null,"description_markdown":"**WikiEvents** is a document-level event extraction benchmark dataset which includes complete event and coreference annotation.","description_withheld":null,"homepage":"https://github.com/raspberryice/gen-arg","introduced_date":"2021-04-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/document-level-event-argument-extraction-by","title":"Document-Level Event Argument Extraction by Conditional Generation","first_author":"Sha Li","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Event Extraction","url":"/task/event-extraction","datasets_with_task":"/datasets/task/event-extraction"},{"name":"Zero-shot Named Entity Recognition (NER)","url":"/task/zero-shot-named-entity-recognition-ner","datasets_with_task":"/datasets/task/zero-shot-named-entity-recognition-ner"},{"name":"Event Argument Extraction","url":"/task/event-argument-extraction","datasets_with_task":"/datasets/task/event-argument-extraction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["WikiEvents"],"data_loaders":[{"repo":"https://github.com/raspberryice/gen-arg","url":"https://github.com/raspberryice/gen-arg","frameworks":["pytorch"]}],"num_papers_in_archive":33,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/zero-shot-named-entity-recognition-ner-on-3","task":"Zero-shot Named Entity Recognition (NER)","dataset_variant":"WikiEvents","rows":2,"metrics":["Entity F1"],"first_row_in_archive_order":{"model":"GoLLIE","paper":"/paper/gollie-annotation-guidelines-improve-zero","metrics":{"Entity F1":"81.3"},"code_links":[{"title":"hitz-zentroa/gollie","url":"https://github.com/hitz-zentroa/gollie"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gollie-annotation-guidelines-improve-zero","title":"GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction","date":"2023-10-05","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":25,"samples_ran":18,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/textual-entailment-for-event-argument","title":"Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning","date":"2022-05-03","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":25,"samples_ran":18,"samples_unverified":7,"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."}