hts98/UIT

该数据集用于命名实体识别（NER）任务，包含tokens和ner_tags两个主要特征。tokens是字符串序列，而ner_tags是包含多个类别的标签序列，如电池（BATTERY）、相机（CAMERA）、通用（GENERAL）等。数据集被分为训练集、验证集和测试集，分别包含7785、1112和2225个示例，总大小为7113831字节。

This dataset is designed for Named Entity Recognition (NER) tasks, featuring tokens (sequence of characters), ner_tags (sequence of NER tags), and id (string type). The ner_tags feature includes multiple class labels to identify various types of named entities such as battery, camera, general, service & accessories, performance, design, features, price, screen, and storage. The dataset is divided into training, validation, and test sets, containing 7785, 1112, and 2225 samples respectively. The total download size of the dataset is 1271465 bytes, and the total dataset size is 7113831 bytes.