indolem_nerui

NER UI is a Named Entity Recognition dataset that contains 2,125 sentences obtained via an annotation assignment in an NLP course at the University of Indonesia in 2016.
The corpus has three named entity classes: location, organisation, and person with training/dev/test distribution: 1,530/170/42 and based on 5-fold cross validation.

NER UI 是一个命名实体识别数据集，该数据集包含2,125个句子，这些句子通过在2016年印度尼西亚大学一门自然语言处理课程中的标注任务获得。该语料库包含三个命名实体类别：地理位置、组织和人物，其训练/开发/测试数据分布为1,530/170/42，并基于五折交叉验证。