{"url":"/dataset/rate-ner","name":"RaTE-NER","full_name":null,"description_markdown":"RaTE-NER dataset is a large-scale, radiological named entity recognition (NER) dataset, including 13,235 manually annotated sentences from 1,816 reports within the MIMIC-IV database, that spans 9 imaging modalities and 23 anatomical regions, ensuring comprehensive coverage.\r\n\r\nAdditionally, we further enriched the dataset with 33,605 sentences from the 17,432 reports available on Radiopaedia, by leveraging GPT-4 and other medical knowledge libraries to capture intricacies and nuances of less common diseases and abnormalities. We manually labeled 3,529 sentences to create a test set.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Angelakeke/RaTE-NER","introduced_date":"2024-06-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/ratescore-a-metric-for-radiology-report","title":"RaTEScore: A Metric for Radiology Report Generation","first_author":"Weike Zhao","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"NER","url":"/task/cg","datasets_with_task":"/datasets/task/cg"},{"name":"Medical Report Generation","url":"/task/medical-report-generation","datasets_with_task":"/datasets/task/medical-report-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RaTE-NER"],"data_loaders":[],"num_papers_in_archive":1,"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."}