Full-scale Analysis Model Dataset for Irregular Warfare

Full-scale Analysis Model Dataset for Irregular Warfare provides a structured, multi-layered data foundation for the systematic study of contemporary irregular warfare, terrorism, grey-zone operations, and urban security risks. The dataset integrates doctrinal texts, case-based evidence, and analytic structures into a unified schema that supports both qualitative reasoning and quantitative modeling. At its core, the dataset encodes key concepts, actors, objectives, methods, and outcomes of irregular warfare into a five-level “lossless” knowledge graph, coupled with edge tables, semantic embeddings, and graph-network representations suitable for NetworkX and GraphRAG-style analysis. Each record is anchored to its original source with page-level and sentence-level evidence pointers, and, where applicable, includes structured representations of figures, tables, and numerical data to enable full-scale model reconstruction. The dataset is designed to support multiple use cases, including doctrine comparison, scenario simulation, risk pathway analysis, urban infrastructure vulnerability assessment, and decision-support model development for defense and security studies. It is intended for researchers, analysts, and practitioners who require a transparent, auditable, and extensible data backbone for building reproducible analysis pipelines and advanced AI-assisted reasoning tools in the domain of irregular warfare.