JoelMba/QUAERO_emea_CAS_annotations_combined_v2

QUAERO_emea_CAS_annotations_combined_v2数据集是一个用于命名实体识别（NER）的标注数据集，专注于疾病实体的标注。数据集采用BIO标注方案，其中B-Disorders表示疾病实体的开始，I-Disorders表示疾病实体的内部，O表示非疾病实体。数据集包含id、tokens、ner_tags、ner_tag_labels和document_id等特征，适用于自然语言处理任务，如医学文本分析。数据集分为训练集（338个样本）、验证集（237个样本）和测试集（107个样本），总大小约为686KB，下载大小为103KB。该数据集可能源自医学或健康相关领域，用于模型训练和评估。

The QUAERO_emea_CAS_annotations_combined_v2 dataset is an annotated dataset for Named Entity Recognition (NER), specifically focused on disorder entities. It uses the BIO tagging scheme, where B-Disorders denotes the beginning of a disorder entity, I-Disorders denotes the inside of a disorder entity, and O denotes non-disorder entities. The dataset includes features such as id, tokens, ner_tags, ner_tag_labels, and document_id, making it suitable for natural language processing tasks like medical text analysis. It is split into train (338 examples), validation (237 examples), and test (107 examples) sets, with a total size of approximately 686KB and a download size of 103KB. This dataset likely originates from medical or health-related domains and is intended for model training and evaluation.