Companion Dataset Link List for Privacy Policy Analysis

This record provides a consolidated list of links and references to publicly available datasets used in the empirical study of privacy policy analysis. Each entry corresponds to a dataset described in the Springer monograph AI and NLP Methods for Privacy Policy Analysis: Rule-Based Systems to Large Language Models. The list covers representative corpora spanning general web, mobile app, IoT, and multilingual privacy policies, as well as task-specific datasets for classification, question answering, summarization, vagueness detection, opt-out choice identification, and regulatory compliance. Each entry includes a dataset alias, a brief description, the DOI for the paper, and the direct URL to the source repository or artifact. The compilation is intended to support reproducibility, reference tracing, and dataset discovery for researchers working in privacy-policy text analysis, NLP, and compliance auditing. License note:This record and its descriptive text are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Each dataset linked herein retains its original license as specified by its authors or hosting repository. No rights to redistribute the underlying data are implied.