{"url":"/dataset/matres","name":"MATRES","full_name":"Multi-Axis Temporal RElations for Start-points","description_markdown":"This is the Multi-Axis Temporal RElations for Start-points (i.e., MATRES) dataset","description_withheld":null,"homepage":"https://github.com/qiangning/MATRES","introduced_date":"2018-04-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-multi-axis-annotation-scheme-for-event","title":"A Multi-Axis Annotation Scheme for Event Temporal Relations","first_author":"Qiang Ning","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Relation Classification","url":"/task/relation-classification","datasets_with_task":"/datasets/task/relation-classification"},{"name":"Temporal Relation Classification","url":"/task/temporal-relation-classification","datasets_with_task":"/datasets/task/temporal-relation-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MATRES"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/temporal-relation-classification-on-matres","task":"Temporal Relation Classification","dataset_variant":"MATRES","rows":4,"metrics":["F1"],"first_row_in_archive_order":{"model":"RSGT","paper":"/paper/rsgt-relational-structure-guided-temporal","metrics":{"F1":"84.0"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/relation-classification-on-matres","task":"Relation Classification","dataset_variant":"MATRES","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"SCS-EERE","paper":"/paper/selecting-optimal-context-sentences-for-event","metrics":{"F1":"0.834"},"code_links":[{"title":"hieumdt/SCS-EERE","url":"https://github.com/hieumdt/SCS-EERE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/extracting-or-guessing-improving-faithfulness","title":"Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction","date":"2022-10-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/rsgt-relational-structure-guided-temporal","title":"RSGT: Relational Structure Guided Temporal Relation Extraction","date":"2022-10-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/selecting-optimal-context-sentences-for-event","title":"Selecting Optimal Context Sentences for Event-Event Relation Extraction","date":"2022-04-02","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/timers-document-level-temporal-relation","title":"TIMERS: Document-level Temporal Relation Extraction","date":"2021-08-01","rows_on_this_dataset":1,"code_links":0,"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."}