rafaelcp/smbdataset
Super Mario Bros. (NES) gameplay dataset for machine learning.
This dataset offers raw Super Mario Bros. (NES) gameplay footage, useful for training AI models to understand game dynamics. It provides image frames, corresponding player actions, and game state (RAM snapshots) as input, allowing researchers to study and replicate game-playing behavior. This is ideal for academics or researchers working on AI for video games.
No commits in the last 6 months.
Use this if you are developing or evaluating machine learning models that learn from video game data, particularly for tasks like reinforcement learning, behavioral cloning, or game AI.
Not ideal if you need a dataset for modern 3D games, a dataset with multiple player perspectives, or if you're not working on machine learning for game-playing agents.
Stars
13
Forks
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Language
Lua
License
CC-BY-4.0
Category
Last pushed
Jul 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rafaelcp/smbdataset"
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