Comprehensive Content Analysis Dataset of the Iranian Junior High School "Social Studies" Textbook (Grade 7, Lessons 1-24): 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 24 of the Iranian National Junior High School textbook, "Social Studies" (Grade 7), 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 six specialized student-teacher research cohorts: Lessons 1-4 were rigorously audited by Athena Hemmati, Mobina Chokri Golriz, Mahsa Karimi, and Aysan Moradi; Lessons 5-8 were evaluated by Asma Abbaszadeh, Setayesh Kargar Balgouri, Fatemeh Eskandari, and Fatemeh Bigdeli; Lessons 9-12 were compiled by Elham Bashtani, Saba Agah, and Faezeh Allahverdi Lor; Lessons 13-16 were analyzed by Setareh Ataei, Aida Yousefi, Fatemeh Seyed Abadi, and Hananeh Iranian; Lessons 17-20 were managed by Zahra Ghorbani, Fatemeh Karam Rezaei, and Helna Kharqani; Lessons 21-24 were systematically evaluated by Seyedeh Masoumeh Talebi Kohboni, Fatemeh Shamiri Eslami, Faezeh Shakeri, and Negar Davarzani. The diagnostic matrix conducts a deep-dive evaluation across critical curricular components: textual narratives, visual illustrations, integrated classroom activities (including functional map skills and workshops), 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 8 of the Iranian School Textbook Auditing Repository.