Military_dataset

The Military QA Dataset is a specialized question-answering dataset comprising 7,454 samples, each structured into a context, question, and answer format. Designed to support the development of intelligent systems in the military domain, the dataset covers a wide array of topics including military regulations, operational procedures, and administrative policies. Data collection followed a hybrid methodology, combining manual curation by subject matter experts with ChatGPT-assisted semi-automated generation. Experts extracted and structured content from official military documents to ensure factual accuracy and alignment with domain-specific terminology. In parallel, ChatGPT was prompted with military texts to generate relevant QA pairs, significantly enhancing dataset scalability without compromising quality.Although the dataset is smaller in size and moderate in linguistic complexity compared to similar datasets in the legal and medical domains, it is highly specific and well-structured, making it particularly suitable for fine-tuning and evaluating military-domain QA models. The dataset\u2019s domain specificity ensures high relevance and practical applicability for real-world military use cases. Future work includes expanding the dataset and increasing its diversity across military scenarios, further enhancing its effectiveness for training robust, domain-aware conversational agents.