A multi-task information extraction dataset for Chinese APT cyber threat intelligence

Abstract Advanced Persistent Threats(APTs) are characterized by persistence and complex attack chains. Information extraction techniques enable the identification of critical knowledge from unstructured Cyber Threat Intelligence (CTI), improving the detection of APT attacks. At present, high-quality information extraction datasets for Chinese APT scenarios remain scarce, particularly those covering multiple tasks such as entity, relation, and event extraction. This shortage limits the training a