The FarmQuest Player Telemetry Dataset: Playthrough Data of a Cozy Farming Game
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.
Authors
- Matthew Guzdial (ORCID: https://orcid.org/0000-0001-8673-9962)
- Nathan Sturtevant (ORCID: https://orcid.org/0000-0003-4318-2791)
- Kristen K. Yu
Institutions
- University of Alberta (CA)
Publication Details
- Journal
- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1609/aiide.v20i1.31889
- Citations
- 2
- Primary Topic
- Agricultural Innovations and Practices
- Type
- article
- Field-Weighted Citation Impact
- 2.68
Funders
- Canadian Institute for Advanced Research
- Alberta Machine Intelligence Institute
- Natural Sciences and Engineering Research Council of Canada