Argumentative Student Peer Reviews

本数据集名为‘Argumentative Student Peer Reviews’，由圣加仑大学等研究机构创建，包含1000份德语学生撰写的商业模型同行评审文档。数据集内容丰富，涵盖了学生对商业模型的评价和建议，涉及的数据量庞大，每份文档平均包含20个句子，272个词汇。创建过程中，研究团队基于图尔敏模型和先前工作，开发了详细的标注指南，并通过三轮研讨会优化标注流程。数据集主要应用于教育领域，旨在通过自动化的文本分析，为学生提供结构化、反思性的论证写作支持，以提升其批判性思维和问题解决能力。

This dataset is named 'Argumentative Student Peer Reviews'. It was created by the University of St. Gallen and other research institutions, comprising 1,000 German-language peer review documents on business models written by students. The dataset features comprehensive content including students' evaluations and recommendations for business models, with a considerable overall scale: each document averages 20 sentences and 272 words. During the dataset construction process, the research team formulated detailed annotation guidelines based on the Toulmin Model and prior related research, and optimized the annotation workflow through three rounds of workshops. Primarily applied in educational contexts, this dataset aims to provide students with structured and reflective argumentative writing support via automated text analysis, so as to enhance their critical thinking and problem-solving capabilities.