Summary of Mcpdial: a Minecraft Persona-driven Dialogue Dataset, by Seyed Hossein Alavi et al.
MCPDial: A Minecraft Persona-driven Dialogue Dataset
by Seyed Hossein Alavi, Sudha Rao, Ashutosh Adhikari, Gabriel A DesGarennes, Akanksha Malhotra, Chris Brockett, Mahmoud Adada, Raymond T. Ng, Vered Shwartz, Bill Dolan
First submitted to arxiv on: 29 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research proposes a novel approach using large language models to generate persona-driven conversations in games between players and non-player characters (NPCs). The approach is showcased through the Minecraft Persona-driven Dialogue dataset (MCPDial), which includes hundreds of conversations featuring rich character descriptions. The conversations are extensive, allowing for in-depth interactions between the player and NPC. Additionally, the dataset incorporates canonical function calls, enabling more realistic interactions. A qualitative analysis assesses the quality and characteristics of the dataset. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research creates a special kind of computer conversation that feels like it’s happening between people. The goal is to make games more realistic by making characters talk to each other in a way that seems natural. To do this, scientists used big language models to generate lots of conversations between players and game characters. They made a dataset called MCPDial with hundreds of examples of these conversations. Each conversation has detailed descriptions of the people talking, like what they look like or what they’re doing. The conversations are long and can get pretty complex, which makes them more realistic. Scientists looked at the dataset to make sure it’s good quality. |
