TYPIC

TYPIC数据集由东北大学创建，包含1000个反驳论点，旨在支持自动诊断评论系统的开发。数据集内容包括197个带有1082条诊断评论的反驳论点，这些评论以自然语言和模板格式提供。数据集的创建过程涉及收集和注释反驳论点，以及开发用于自动评估的模板集。TYPIC数据集的应用领域主要集中在教育技术中，特别是在提高学生的批判性思维技能方面，通过提供具体的诊断反馈来帮助学生识别和改进其论证中的弱点。

The TYPIC dataset was created by Northeastern University (China), which contains 1,000 rebuttal arguments and is designed to support the development of automated comment diagnosis systems. The dataset includes 197 rebuttal arguments accompanied by 1,082 diagnostic comments, which are provided in both natural language and template formats. The creation of the dataset involved collecting and annotating rebuttal arguments, as well as developing a template set for automated evaluation. The TYPIC dataset is mainly applied in educational technology, particularly to enhance students' critical thinking skills by providing specific diagnostic feedback to help them identify and rectify weaknesses in their arguments.