{"url":"/dataset/kind","name":"KIND","full_name":"Kessler Italian Named-entities Dataset","description_markdown":"KIND is an Italian dataset for Named-Entity Recognition. It contains more than one million tokens with the annotation covering three classes: persons, locations, and organizations. Most of the dataset (around 600K tokens) contains manual gold annotations in three different domains: news, literature, and political discourses.","description_withheld":null,"homepage":"https://github.com/dhfbk/KIND","introduced_date":"2021-12-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/kind-an-italian-multi-domain-dataset-for","title":"KIND: an Italian Multi-Domain Dataset for Named Entity Recognition","first_author":"Teresa Paccosi","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":"Italian","url":"/datasets/language/italian"}],"variants":["KIND"],"data_loaders":[],"num_papers_in_archive":3,"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":"2026-09-25T09:33:49+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."}