{"url":"/dataset/krauts","name":"KRAUTS","full_name":"Korpus of newspapeR Articles with Underlinded Temporal expressionS","description_markdown":"KRAUTS (Korpus of newspapeR Articles with Underlinded Temporal expressionS) is a German temporally annotated news corpus accompanied with TimeML annotation guidelines for German. It was developed at Fondazione Bruno Kessler, Trento, Italy and at the Max Planck Institute for Informatics, Saarbrücken, Germany. Our goal is to boost temporal tagging research for German.","description_withheld":null,"homepage":"https://github.com/JannikStroetgen/KRAUTS","introduced_date":"2018-05-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/krauts-a-german-temporally-annotated-news","title":"KRAUTS: A German Temporally Annotated News Corpus","first_author":"Jannik Str{\\\"o}tgen","url":null},"license":{"name":"CC-BY-NC","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Temporal Tagging","url":"/task/temporal-tagging","datasets_with_task":"/datasets/task/temporal-tagging"}],"languages":[{"name":"German","url":"/datasets/language/german"}],"variants":["KRAUTS"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/temporal-tagging-on-krauts","task":"Temporal Tagging","dataset_variant":"KRAUTS","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"Lange et al.","paper":"/paper/adversarial-alignment-of-multilingual-models","metrics":{"F1":"66.53"},"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":"2026-09-25T09:33:49+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."}