RoboFAC is a multimodal VQA dataset for robotic failure analysis and correction, comprising over 10,000 robot manipulation videos and 78,623 question-answer pairs. The dataset supports both VQA and failure reasoning tasks across simulated and real-world environments. It was introduced in the paper RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction.