{"url":"/dataset/muc-4","name":"MUC-4","full_name":"Fourth Message Uunderstanding Conference","description_markdown":"A dataset for evaluate system's understanding of given passages.","description_withheld":null,"homepage":"https://www-nlpir.nist.gov/related_projects/muc/muc_data/muc_data_index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Role-filler Entity Extraction","url":"/task/role-filler-entity-extraction","datasets_with_task":"/datasets/task/role-filler-entity-extraction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MUC-4"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/role-filler-entity-extraction-on-muc-4","task":"Role-filler Entity Extraction","dataset_variant":"MUC-4","rows":1,"metrics":["Avg. F1"],"first_row_in_archive_order":{"model":"TempGen","paper":"/paper/document-level-entity-based-extraction-as","metrics":{"Avg. F1":"57.76"},"code_links":[{"title":"PlusLabNLP/TempGen","url":"https://github.com/PlusLabNLP/TempGen"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/document-level-entity-based-extraction-as","title":"Document-level Entity-based Extraction as Template Generation","date":"2021-09-10","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}