INTSUMGen: Structured INTSUM Dataset for Defense and Security Intelligence Extraction

Structured INTSUM Dataset for Military, Conflict, and Security Intelligence Extraction This dataset contains structured Intelligence Summary (INTSUM) reports generated from real-world defense, military, and conflict-related news sources. Each entry follows a standardized INTSUM format used in intelligence analysis, including fields such as:- Date- Location - Event Type- Actors Involved (Primary and Secondary)- Event Summary- Outcome- Strategic Implications- Recommended Actions The dataset is constructed using a Large Language Model-based structured extraction (Mistral/OpenRouter) It includes both:- Real-world extracted intelligence summaries- Synthetic event-specific INTSUM samples for model training and benchmarking This dataset is designed for use in:- Natural Language Processing (NLP)- Information Extraction- Retrieval-Augmented Generation (RAG)- Defense and security analytics- Event classification and summarization- Intelligence automation systems The dataset can support training and evaluation of models for structured intelligence generation, entity extraction, and decision-support systems in security domains. Format:- JSONL (for model training and RAG pipelines)- CSV (synthetic structured events)