{"url":"/dataset/docred-fe","name":"DocRED-FE","full_name":"DocRED with Fine-Grained Entity Type","description_markdown":"DocRED-FE is the DocRED with Fine-Grained Entity Type","description_withheld":null,"homepage":"https://github.com/PKU-TANGENT/DOCRED-FE","introduced_date":"2023-03-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/docred-fe-a-document-level-fine-grained","title":"DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset","first_author":"Hongbo Wang","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DocRED-FE"],"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."}