Comprehensive Content Analysis Dataset of the Iranian High School "History 1" Textbook: A Multi-Agent Adjudicated Protocol (CAP) Based on the William Romey Method

This dataset provides a multi-modal, peer-adjudicated content analysis of the Iranian National High School "History 1" (Grade 10, Humanities) textbook based on the William Romey Method. Moving beyond passive curriculum consumption, this open-data initiative by Farhangian University (Nasiabeh Campus, Tehran) empowers pre-service teachers as Intelligent Supervisors. A cohort of 13 student-teachers, organized into 4 specialized peer teams, executed a systematic auditing of all 16 chapters, evaluating four core curricular dimensions: textual narratives, visual illustrations (images), class activities, and sample questions. The dataset was generated through a rigorous 4-stage Collaborative Adjudication Protocol (CAP): (1) Methodological training based on open-access lesson plans ; (2) Initial AI-assisted text/image auditing; (3) Peer human-AI cross-auditing utilizing four distinct operational roles (First Auditor, Second Auditor, Prompt Engineer, and Documentation Manager); and (4) Final CAP reconciliation and multi-agent text adjudication. This dataset serves as a primary empirical repository for curriculum designers, educational policy-makers, and researchers studying human-AI hybrid intelligence in teacher education.