{"url":"/dataset/geowebnews","name":"GeoWebNews","full_name":null,"description_markdown":"GeoWebNews provides test/train examples and enable fine-grained Geotagging and Toponym Resolution (Geocoding). This dataset is also suitable for prototyping and evaluating machine learning NLP models.\r\n\r\nSource: [A Pragmatic Guide to Geoparsing Evaluation](/paper/a-pragmatic-guide-to-geoparsing-evaluation)\r\nImage Source: [https://arxiv.org/pdf/1810.12368.pdf](https://arxiv.org/pdf/1810.12368.pdf)","description_withheld":null,"homepage":"https://github.com/milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-pragmatic-guide-to-geoparsing-evaluation","title":"A Pragmatic Guide to Geoparsing Evaluation","first_author":"Milan Gritta","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GeoWebNews"],"data_loaders":[{"repo":"https://github.com/milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation","url":"https://github.com/milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation","frameworks":[]}],"num_papers_in_archive":9,"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."}