leomaurodesenv/game-datasets

🎮 A curated list of awesome game datasets, and tools to artificial intelligence in games

1,135

96 commits

updated Oct 17, 2026

See the code

README

🎮 Awesome Game Datasets Awesome

GitHub CC-BY-4.0 license GitHub Workflow Status

In computer science, Artificial Intelligence (AI) is intelligence demonstrated by machines. Its definition, AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that achieving its goals Russell et. al (2016).

Withal, Data Mining (DM) is the process of discovering patterns in data sets (or datasets) involving methods of machine learning, statistics, and database systems; DM focus on extract the information of datasets Han (2011).

This repository guides work with Artificial Intelligence or Data Mining in digital games. Find datasets, tools, and materials to build your application or dataset.

Contributing

For suggestions or questions, open an issue. To contribute, read this and submit a pull request.


Contents


API

API is "a set of functions and procedures allowing the creation of applications that access the features or data of an operating system, application, or other service" (Google).


Artificial Intelligence

Mobile

Web


Books

  • Drachen, A. Mirza-Babaei, P. Nacke, L. (2018). Games user research. Oxford.
  • El-Nasr, S. Drachen, A. Canossa, A. (2013). Game analytics: maximizing the value of player data. Sprigner.
  • Han, J., Pei, J., Kamber, M. (2011). Data mining: concepts and techniques. Elsevier.
  • Hennig-Thurau, T. Houston, M. (2018). Entertainment science: data analytics and practical theory for movies, games, music and books. Springer.
  • Loh, A. Sheng, Y. Ifenthaler, D. (2015). Serious games analytics: methodologies for performance measurement, assessment, and improvement. Springer.
  • Millington, Ian, Funge, John (2020). AI for Games, Third Edition. CRC Press.
  • Russell, S. J., Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited.
  • Yannakakis, G. N., Togelius, J. (2018). Artificial intelligence and games. Springer.

Dataset


Market Research


Miscellaneous


License

Creative Commons License

artificial-intelligence
awesome
awesome-game
awesome-list
database
data-mining
dataset
game
games

leomaurodesenv/game-datasets

🎮 A curated list of awesome game datasets, and tools to artificial intelligence in games

1,135

96 commits

updated Oct 17, 2026

See the code

README

🎮 Awesome Game Datasets Awesome

GitHub CC-BY-4.0 license GitHub Workflow Status

In computer science, Artificial Intelligence (AI) is intelligence demonstrated by machines. Its definition, AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that achieving its goals Russell et. al (2016).

Withal, Data Mining (DM) is the process of discovering patterns in data sets (or datasets) involving methods of machine learning, statistics, and database systems; DM focus on extract the information of datasets Han (2011).

This repository guides work with Artificial Intelligence or Data Mining in digital games. Find datasets, tools, and materials to build your application or dataset.

Contributing

For suggestions or questions, open an issue. To contribute, read this and submit a pull request.


Contents


API

API is "a set of functions and procedures allowing the creation of applications that access the features or data of an operating system, application, or other service" (Google).


Artificial Intelligence

Mobile

Web


Books

  • Drachen, A. Mirza-Babaei, P. Nacke, L. (2018). Games user research. Oxford.
  • El-Nasr, S. Drachen, A. Canossa, A. (2013). Game analytics: maximizing the value of player data. Sprigner.
  • Han, J., Pei, J., Kamber, M. (2011). Data mining: concepts and techniques. Elsevier.
  • Hennig-Thurau, T. Houston, M. (2018). Entertainment science: data analytics and practical theory for movies, games, music and books. Springer.
  • Loh, A. Sheng, Y. Ifenthaler, D. (2015). Serious games analytics: methodologies for performance measurement, assessment, and improvement. Springer.
  • Millington, Ian, Funge, John (2020). AI for Games, Third Edition. CRC Press.
  • Russell, S. J., Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited.
  • Yannakakis, G. N., Togelius, J. (2018). Artificial intelligence and games. Springer.

Dataset


Market Research


Miscellaneous


License

Creative Commons License

artificial-intelligence
awesome
awesome-game
awesome-list
database
data-mining
dataset
game
games

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