{"url":"/dataset/basque-timebank","name":"Basque TimeBank","full_name":null,"description_markdown":"A set of basque documents annotated with EusTimeML - a mark-up language for temporal information in Basque.","description_withheld":null,"homepage":"https://link.springer.com/chapter/10.1007/978-3-319-75487-1_43","introduced_date":"2018-03-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/adapting-timeml-to-basque-event-annotation","title":"Adapting TimeML to Basque: Event Annotation","first_author":"Begoña Altuna","url":null},"license":{"name":"None","url":"https://link.springer.com/chapter/10.1007/978-3-319-75487-1_43"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Temporal Tagging","url":"/task/temporal-tagging","datasets_with_task":"/datasets/task/temporal-tagging"}],"languages":[{"name":"Basque","url":"/datasets/language/basque"}],"variants":["Basque TimeBank"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/temporal-tagging-on-basque-timebank","task":"Temporal Tagging","dataset_variant":"Basque TimeBank","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"Lange et al.","paper":"/paper/adversarial-alignment-of-multilingual-models","metrics":{"F1":"47.87"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/adversarial-alignment-of-multilingual-models","title":"Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text","date":"2020-05-19","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."}