AntEngage has open-sourced the AntEngage Empathy Conversation Dataset, containing 4,008 multi-turn conversations designed to train large language models (LLMs) in empathetic and contextually appropriate responses. The dataset aims to improve AI's ability to handle emotionally complex interactions such as frustration, grief, loneliness, and exhaustion. This release supports the development of more emotionally intelligent conversational AI systems. Read original