{"url":"/dataset/rebel-dataset","name":"REBEL","full_name":null,"description_markdown":"Wikipedia abstracts automatically annotated with WikiData entities and relations that are entailed by the text.  Over 9 million triplets.","description_withheld":null,"homepage":"https://osf.io/4x3r9/?view_only=87e7af84c0564bd1b3eadff23e4b7e54","introduced_date":"2021-10-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/rebel-relation-extraction-by-end-to-end","title":"REBEL: Relation Extraction By End-to-end Language generation","first_author":"Pere-Lluis Huguet Cabot","url":null},"license":{"name":"CC-4.0","url":"https://osf.io/38nmg?view_only=87e7af84c0564bd1b3eadff23e4b7e54"},"modalities":[],"tasks":[{"name":"Relation Extraction","url":"/task/relation-extraction","datasets_with_task":"/datasets/task/relation-extraction"},{"name":"Entity Linking","url":"/task/entity-linking","datasets_with_task":"/datasets/task/entity-linking"}],"languages":[],"variants":["REBEL"],"data_loaders":[],"num_papers_in_archive":46,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/relation-extraction-on-rebel","task":"Relation Extraction","dataset_variant":"REBEL","rows":2,"metrics":["Triplet F1 (strict EL)"],"first_row_in_archive_order":{"model":"Relik-Large","paper":"/paper/2408-00103","metrics":{"Triplet F1 (strict EL)":"75.6"},"code_links":[{"title":"SapienzaNLP/relik","url":"https://github.com/SapienzaNLP/relik"},{"title":"RadeenXALNW/G-RAG_1.0","url":"https://github.com/RadeenXALNW/G-RAG_1.0"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/entity-linking-on-rebel","task":"Entity Linking","dataset_variant":"REBEL","rows":1,"metrics":["Micro-F1"],"first_row_in_archive_order":{"model":"ReLiK-Large","paper":"/paper/2408-00103","metrics":{"Micro-F1":"85.1"},"code_links":[{"title":"SapienzaNLP/relik","url":"https://github.com/SapienzaNLP/relik"},{"title":"RadeenXALNW/G-RAG_1.0","url":"https://github.com/RadeenXALNW/G-RAG_1.0"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/2408-00103","title":"ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget","date":"2024-07-31","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/genie-generative-information-extraction","title":"GenIE: Generative Information Extraction","date":"2021-12-15","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}