IIC/ehealth_kd
收藏Hugging Face2026-02-06 更新2026-02-07 收录
下载链接：
https://hf-mirror.com/datasets/IIC/ehealth_kd
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资源简介：
该数据集包含三个主要特征：text（字符串类型）、tokens（字符串序列）和ner_tags（带有特定命名实体的类别标签序列）。数据集分为三个部分：训练集（800个样本）、验证集（199个样本）和测试集（100个样本）。ner_tags特征包括多种命名实体的类别标签，如Action、Concept、Predicate和Reference，其中O表示非实体标记。还提供了数据集的大小和下载大小信息。
The dataset includes three main features: text (string type), tokens (sequence of strings), and ner_tags (sequence of class labels with specific named entities). The dataset is divided into three splits: train (800 examples), validation (199 examples), and test (100 examples). The ner_tags feature includes class labels for various named entities such as Action, Concept, Predicate, and Reference, with O indicating non-entity tokens. The datasets size and download size are also provided.
提供机构：
IIC
