mutual_friends

Our goal is to build systems that collaborate with people by exchanging
information through natural language and reasoning over structured knowledge
base. In the MutualFriend task, two agents, A and B, each have a private
knowledge base, which contains a list of friends with multiple attributes
(e.g., name, school, major, etc.). The agents must chat with each other
to find their unique mutual friend.

本数据集旨在构建能够通过自然语言交换信息并基于结构化知识库进行推理的系统，以实现与人类的协作。在‘共同好友’任务中，两个智能体A和B各自拥有一份包含具有多个属性（如姓名、学校、专业等）的好友列表的私有知识库。智能体之间必须通过对话相互交流，以寻找他们共有的独特好友。