This repository curates a comprehensive list of datasets, APIs, and tools relevant to artificial intelligence and data mining in video games. It serves as a valuable resource for researchers, developers, and students interested in applying AI/ML techniques to game data, offering a structured overview of available resources.

How It Works

The project acts as a curated directory, categorizing resources into sections like APIs, AI-specific tools and competitions, mobile and web game data, books, and various datasets. It aims to centralize information that might otherwise be scattered, providing direct links and brief descriptions for each entry.

Quick Start & Requirements

• No installation required; it's a curated list.
• Access to the internet is the primary requirement.
• Links to external resources may have their own prerequisites.

Highlighted Details

• Extensive categorization of game-related AI and data mining resources.
• Includes links to both established academic papers and active competitions.
• Features a wide array of specific game datasets, from popular titles like League of Legends and Dota 2 to broader categories like Steam game data.
• Covers various aspects of game development and analysis, including player behavior, game mechanics, and market research.

Maintenance & Community

• The repository encourages contributions via GitHub issues and pull requests.
• Specific contributors or maintainers are not highlighted in the README.

Licensing & Compatibility

• License: Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
• This license allows for commercial use and adaptation, provided attribution is given and any derivative works are shared under the same license.

Limitations & Caveats

The repository is a curated list and does not host the datasets themselves; users must follow external links. The quality and availability of linked resources are not guaranteed by the repository.