JoelMba/medicalNer_CAS_annotations_combined_v2

这是一个医学命名实体识别（NER）数据集，专注于疾病实体的标注。数据集包含训练集、验证集和测试集，分别有7098、1488和678个示例。数据特征包括tokens（字符串序列）、ner_tags（序列标注，包含B-Disorders、I-Disorders和O三类标签）、ner_tag_labels（字符串序列）、sample_id（字符串）、text（字符串）和ner_tags_span（字符串）。数据集的总大小为4404100.218246886字节，下载大小为1004899字节。

This is a medical named entity recognition (NER) dataset focused on the annotation of disease entities. The dataset includes training, validation, and test sets with 7098, 1488, and 678 examples, respectively. Features include tokens (string sequence), ner_tags (sequence labeling with B-Disorders, I-Disorders, and O labels), ner_tag_labels (string sequence), sample_id (string), text (string), and ner_tags_span (string). The total dataset size is 4404100.218246886 bytes, and the download size is 1004899 bytes.