PeterPaker123/mimic-iv-clinical-ner

该数据集是一个用于医疗领域命名实体识别（NER）任务的数据集，包含医疗文本中的tokens和对应的ner_tags。ner_tags包括多个类别，如B-Chief Complaint（主诉开始）、I-Chief Complaint（主诉内部）、B-Discharge Diagnosis（出院诊断开始）等，覆盖了医疗记录中的关键部分，如主诉、病史、检查结果、用药等。数据集仅包含训练分割，有134,758个示例，适用于训练NER模型以从医疗文本中提取结构化信息。This dataset is designed for named entity recognition (NER) tasks in the medical domain, containing tokens and corresponding ner_tags from medical texts. The ner_tags include multiple categories such as B-Chief Complaint, I-Chief Complaint, B-Discharge Diagnosis, etc., covering key sections of medical records like chief complaints, history, exam results, and medications. The dataset only includes a train split with 134,758 examples, suitable for training NER models to extract structured information from medical text.