{"url":"/dataset/europeana-newspapers","name":"Europeana Newspapers","full_name":null,"description_markdown":"Europeana Newspapers consists of four datasets with 100 pages each for the languages Dutch, French, German (including Austrian) as part of the Europeana Newspapers project is expected to contribute to the further development and improvement of named entity recognition systems with a focus on historical content.\r\n\r\nSource: [An Open Corpus for Named Entity Recognition in Historic Newspapers](/paper/an-open-corpus-for-named-entity-recognition)","description_withheld":null,"homepage":"https://github.com/EuropeanaNewspapers/ner-corpora","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/an-open-corpus-for-named-entity-recognition","title":"An Open Corpus for Named Entity Recognition in Historic Newspapers","first_author":"Clemens Neudecker","url":null},"license":null,"modalities":[],"tasks":[{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"},{"name":"Meta-Learning","url":"/task/meta-learning","datasets_with_task":"/datasets/task/meta-learning"},{"name":"Cross-Lingual NER","url":"/task/cross-lingual-ner","datasets_with_task":"/datasets/task/cross-lingual-ner"}],"languages":[],"variants":["Europeana Newspapers"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/community-datasets/euronews","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/euronews","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/EuropeanaNewspapers/ner-corpora","url":"https://github.com/EuropeanaNewspapers/ner-corpora","frameworks":[]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}