Comprehensive Content Analysis Dataset of the Iranian High School "Social Identity" Textbook (Lessons 1-10): 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, "Social Identity" (Grade 12, common across Experimental Sciences, Mathematics, and Vocational tracks), 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 three specialized student-teacher research cohorts: Lessons 1-3 were rigorously audited by Aida Rostami, Bahereh Shabestan, and Rezvan Mansoubi; Lessons 4-6 were audited by Setayesh Bertina, Fatemeh Momipour, and Maedeh Gharehbaghloo; Lessons 7-10 were systematically evaluated by Reyhaneh Chegani, Sepideh Shakib, Mahla Sadat Teymouri, and Zahra Azarkashb. The diagnostic matrix conducts a deep-dive evaluation across critical curricular components: textual narratives, visual illustrations, 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 7 of the Iranian School Textbook Auditing Repository.