{"url":"/dataset/sigarra-news-corpus","name":"SIGARRA News Corpus","full_name":null,"description_markdown":"This dataset was taken from the SIGARRA information system at the University of Porto (UP). Every organic unit has its own domain and produces academic news. We collected a sample of 1000 news, manually annotating 905 using the Brat rapid annotation tool. This dataset consists of three files. The first is a CSV file containing news published between 2016-12-14 and 2017-03-01. The second file is a ZIP archive containing one directory per organic unit, with a text file and an annotations file per news article. The third file is an XML containing the complete set of news in a similar format to the HAREM dataset format. This dataset is particularly adequate for training named entity recognition models.","description_withheld":null,"homepage":"https://rdm.inesctec.pt/dataset/cs-2017-004","introduced_date":"2017-07-20","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-SA 4.0","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"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"},{"name":"Named Entity Recognition","url":"/task/named-entity-recognition-1","datasets_with_task":"/datasets/task/named-entity-recognition-1"},{"name":"NER","url":"/task/cg","datasets_with_task":"/datasets/task/cg"}],"languages":[],"variants":["SIGARRA News Corpus"],"data_loaders":[],"num_papers_in_archive":0,"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."}