{"url":"/dataset/timebank","name":"TimeBank","full_name":null,"description_markdown":"Enriches the TimeML annotations of TimeBank by adding information about the Topic Time in terms of Klein (1994). The annotations are partly automatic, partly inferential and partly manual. The corpus was converted into the native format of the annotation software GraphAnno and POS-tagged using the Stanford bidirectional dependency network tagger. \r\n\r\nSource: [Enriching TimeBank: Towards a more precise annotation of temporal relations in a text](/paper/enriching-timebank-towards-a-more-precise)","description_withheld":null,"homepage":"https://catalog.ldc.upenn.edu/LDC2006T08","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/enriching-timebank-towards-a-more-precise","title":"Enriching TimeBank: Towards a more precise annotation of temporal relations in a text","first_author":"Volker Gast","url":null},"license":null,"modalities":[],"tasks":[{"name":"Temporal Information Extraction","url":"/task/temporal-information-extraction","datasets_with_task":"/datasets/task/temporal-information-extraction"},{"name":"Timex normalization","url":"/task/timex-normalization","datasets_with_task":"/datasets/task/timex-normalization"}],"languages":[],"variants":["TimeBank"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/temporal-information-extraction-on-timebank","task":"Temporal Information Extraction","dataset_variant":"TimeBank","rows":2,"metrics":["F1 score"],"first_row_in_archive_order":{"model":"Catena","paper":"/paper/catena-causal-and-temporal-relation","metrics":{"F1 score":"0.511"},"code_links":[{"title":"paramitamirza/CATENA","url":"https://github.com/paramitamirza/CATENA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/timex-normalization-on-timebank","task":"Timex normalization","dataset_variant":"TimeBank","rows":2,"metrics":["F1-Score"],"first_row_in_archive_order":{"model":"TIMEN","paper":"/paper/timen-an-open-temporal-expression","metrics":{"F1-Score":"0.89"},"code_links":[{"title":"leondz/timen","url":"https://github.com/leondz/timen"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/catena-causal-and-temporal-relation","title":"CATENA: CAusal and TEmporal relation extraction from NAtural language texts","date":"2016-12-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-baseline-temporal-tagger-for-all-languages","title":"A Baseline Temporal Tagger for all Languages","date":"2015-09-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dense-event-ordering-with-a-multi-pass","title":"Dense Event Ordering with a Multi-Pass Architecture","date":"2014-01-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/timen-an-open-temporal-expression","title":"TIMEN: An Open Temporal Expression Normalisation Resource","date":"2012-05-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}