The FarmQuest Player Telemetry Dataset: Playthrough Data of a Cozy Farming Game

Authors

  • Kristen K. Yu University of Alberta
  • Matthew Guzdial University of Alberta
  • Nathan R. Sturtevant University of Alberta

DOI:

https://doi.org/10.1609/aiide.v20i1.31889

Abstract

Open datasets are the foundation of many types of academic research. One field that requires datasets is data-driven player modeling, but there is a lack of variety in existing datasets. We introduce the FarmQuest Player Telemetry (FPT) dataset, a new playthrough dataset of a cozy farming game. We envision this dataset will be used for reproducing prior results, evaluating initial ideas, and evaluating the generalizability of new and existing algorithms.

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Published

2024-11-15

How to Cite

Yu, K. K., Guzdial, M., & Sturtevant, N. R. (2024). The FarmQuest Player Telemetry Dataset: Playthrough Data of a Cozy Farming Game. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 20(1), 263–268. https://doi.org/10.1609/aiide.v20i1.31889