APPCorp

APPCorp是由天津大学智能与计算学部创建的一个专注于Android隐私政策文档结构分析的数据集。该数据集包含167份隐私政策文档，总计超过447,000字和5,276个标注段落。数据集的创建旨在通过自动分析隐私政策的文档结构，帮助用户更好地理解和处理隐私问题。数据集的创建过程涉及手动标注，并考虑了GDPR相关条款，以确保数据集的准确性和适用性。APPCorp的应用领域广泛，主要用于隐私政策的大规模结构分析，帮助用户快速识别关键信息，同时也支持隐私政策的自动化标注和文档重组。APPCorp is a dataset dedicated to structural analysis of Android privacy policy documents, created by the College of Intelligence and Computing, Tianjin University. It comprises 167 privacy policy documents, totaling over 447,000 words and 5,276 annotated paragraphs. The dataset is designed to assist users in better understanding and resolving privacy concerns through automated analysis of the structural framework of privacy policies. The development of APPCorp involved manual annotation and incorporated relevant clauses of the General Data Protection Regulation (GDPR) to guarantee the dataset's accuracy and applicability. APPCorp has broad application prospects: it is primarily used for large-scale structural analysis of privacy policies to enable users to quickly identify critical information, and also supports automated annotation of privacy policies and document restructuring.