zenodoopen
Generative Data by Generative Agents - First Simulation Data
<p>"Generative Data by Generative Agents" is a project that aims to create a simulation architecture for virtual agents with LLMs, based on the article “Generative Agents: Interactive Simulacra of Human Behavior” (Park et. all, 2023). This simulation aims to subsequently generate synthetic data from the agent.</p> <p>This publication consists of data related to the first simulation test, with the initial simulation parameters, logs obtained and simulation summary.</p> <p>The project repository contains the simulation code and more information.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4