Comprehensive Content Analysis Dataset of the Iranian High School "Sociology 3" Textbook: A Multi-Agent Adjudicated Protocol (CAP) Based on the William Romey Method

This dataset delivers a comprehensive, multi-modal, and peer-adjudicated content analysis of Lessons 1 to 10 of the Iranian National High School textbook, "Sociology 3" (Grade 12, Literature and Humanities), employing an enhanced adaptation of the William Romey Method. Developed as an open-science, empirical repository initiative at Farhangian University (Nasiabeh Campus, Tehran), this project aims to strengthen teacher agency by scaffolding pre-service teachers into the professional roles of Intelligent Supervisors. The collaborative repository is systematically divided into two specialized student-teacher research cohorts: Lessons 1-5 were rigorously audited by Negar Moradi, Zeynab Pashaei, Zahra Mirzaei, and Melika Younesi; Lessons 6-10 were systematically evaluated by Parya Sadat Hosseini Sotoudeh, Zeynab Amini, Niayesh Khodaparast Ardalani, and Fatemeh Ajorloo. The diagnostic matrix conducts a deep-dive evaluation across critical curricular components: textual narratives, visual illustrations (philosophical diagrams and social iconography), integrated classroom activities, and sample evaluation questions. To eliminate individual subjectivity and mitigate AI-generated systemic biases, the data generation pipeline utilized the 4-stage Collaborative Adjudication Protocol (CAP): (1) Methodological training on active/passive content dynamics; (2) Baseline AI-assisted auditing via structurally validated prompt sequences; (3) Double-blind peer human-AI cross-auditing involving four critical operational roles (First Auditor, Second Auditor, Prompt Engineer, and Documentation Manager); and (4) Final CAP reconciliation and multi-agent text/image adjudication. This benchmark corpus stands as Volume 6 of the Iranian School Textbook Auditing Repository.