Human-machine interaction

This dataset was synthesized through a large model. We deployed two large models, one playing the role of an elderly patient and the other playing the role of a nurse. The scenario we define is as follows: the patient lies on a deformed bed, conveying clear or unclear needs to the nurse. The nurse analyzes the patient's true needs based on their language, provides a humanized and personalized response to the patient, and issues control commands to the deformed bed. The dataset consists of two parts: patient statements - answers and patient statements - control commands.