MCPDial：一个《我的世界》（Minecraft）人格驱动对话数据集
MCPDial: A Minecraft Persona-driven Dialogue Dataset
AI总结：
本研究提出用大语言模型生成游戏中人格驱动对话的方法，构建了含丰富角色描述、长对话及规范函数调用的Minecraft对话数据集MCPDial，并通过定性分析验证其质量。
摘要：
我们提出了一种利用大语言模型（LLMs）生成游戏中玩家与非玩家角色（NPC）之间人格驱动对话的新方法。为展示该方法的应用，我们推出了Minecraft Persona-driven Dialogue数据集（MCPDial）。我们从少量专家撰写的种子对话出发，采用所提方法额外生成了数百段对话。数据集中的每段对话都包含玩家与NPC的丰富角色描述，且对话篇幅较长，可支持双方深入、充分的互动。MCPDial不止于基础对话，还在话语之间融入了规范函数调用（例如“Call find a resource on iron ore”）。最后，我们对该数据集开展了定性分析，以评估其质量与特征。
英文摘要：
We propose a novel approach that uses large language models (LLMs) to generate persona-driven conversations between Players and Non-Player Characters (NPC) in games. Showcasing the application of our methodology, we introduce the Minecraft Persona-driven Dialogue dataset (MCPDial). Starting with a small seed of expert-written conversations, we employ our method to generate hundreds of additional conversations. Each conversation in the dataset includes rich character descriptions of the player and NPC. The conversations are long, allowing for in-depth and extensive interactions between the player and NPC. MCPDial extends beyond basic conversations by incorporating canonical function calls (e.g. "Call find a resource on iron ore") between the utterances. Finally, we conduct a qualitative analysis of the dataset to assess its quality and characteristics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
