CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

Understand

Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an important influence on conversation.

• However, most existing datasets for conversational AI ignore human personalities and emotions, or only consider part of them.
• It's difficult for dialogue systems to understand speakers' personalities and emotions although large-scale pre-training language models have been widely used.
• In order to consider both personalities and emotions in the process of conversation generation, we propose CPED, a large-scale Chinese personalized and emotional dialogue dataset, which consists of multi-source knowledge related to empathy and personal characteristic.