{"url":"/dataset/re-tacred","name":"Re-TACRED","full_name":"Revised-TACRED","description_markdown":"The Re-TACRED dataset is a significantly improved version of the TACRED dataset for relation extraction. Using new crowd-sourced labels, Re-TACRED prunes poorly annotated sentences and addresses TACRED relation definition ambiguity, ultimately correcting 23.9% of TACRED labels. This dataset contains over 91 thousand sentences spread across 40 relations. Dataset presented at AAAI 2021.\r\n\r\nPaper (arXiv): https://arxiv.org/abs/2104.08398","description_withheld":null,"homepage":"https://github.com/gstoica27/Re-TACRED","introduced_date":"2021-04-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/re-tacred-addressing-shortcomings-of-the","title":"Re-TACRED: Addressing Shortcomings of the TACRED Dataset","first_author":"George Stoica","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Relation Extraction","url":"/task/relation-extraction","datasets_with_task":"/datasets/task/relation-extraction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Re-TACRED"],"data_loaders":[{"repo":"https://github.com/gstoica27/Re-TACRED","url":"https://github.com/gstoica27/Re-TACRED","frameworks":[]}],"num_papers_in_archive":56,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/relation-extraction-on-re-tacred","task":"Relation Extraction","dataset_variant":"Re-TACRED","rows":9,"metrics":["F1"],"first_row_in_archive_order":{"model":"EXOBRAIN","paper":"/paper/improving-sentence-level-relation-extraction","metrics":{"F1":"91.4"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/retrieval-augmented-generation-based-relation","title":"Retrieval-Augmented Generation-based Relation Extraction","date":"2024-04-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/aligning-instruction-tasks-unlocks-large","title":"Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors","date":"2023-05-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/generative-prompt-tuning-for-relation-1","title":"Generative Prompt Tuning for Relation Classification","date":"2022-10-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rebel-relation-extraction-by-end-to-end","title":"REBEL: Relation Extraction By End-to-end Language generation","date":"2021-10-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/improving-sentence-level-relation-extraction","title":"Improving Sentence-Level Relation Extraction through Curriculum Learning","date":"2021-07-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/an-improved-baseline-for-sentence-level","title":"An Improved Baseline for Sentence-level Relation Extraction","date":"2021-02-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spanbert-improving-pre-training-by","title":"SpanBERT: Improving Pre-training by Representing and Predicting Spans","date":"2019-07-24","rows_on_this_dataset":1,"code_links":6,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":3,"samples_unverified":12,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/graph-convolution-over-pruned-dependency","title":"Graph Convolution over Pruned Dependency Trees Improves Relation Extraction","date":"2018-09-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/position-aware-attention-and-supervised-data","title":"Position-aware Attention and Supervised Data Improve Slot Filling","date":"2017-09-01","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":15,"samples_ran":3,"samples_unverified":12,"pointer_only_for_licence":4,"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."}