Datasets:
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AQ-Mario SMB1 Dataset
This is the 8,000-episode Super Mario Bros. 1-1 dataset used to train the AQ-Mario EMA-JEPA world model. The source code, shard loader, training recipe, and evaluation protocol are in the AQ-Mario GitHub repository.
Contents
| Track | Episodes | Observations | Files |
|---|---|---|---|
random |
4,000 | 2,674,774 | 256 compressed .npz shards |
ppo |
4,000 | 2,202,594 | 256 compressed .npz shards |
| Total | 8,000 | 4,877,368 | 512 shards, about 27.4 GB |
Each shard contains flat arrays and episode offsets. The exact schema and
action/frame alignment are documented in
data/README.md.
The repository is intentionally kept as raw compressed NumPy shards so the
dataset can be streamed or consumed by the project's ShardWindows loader.
Dataset snapshots
These previews are generated from representative frames in the local sample
shard. They show the raw observations and are included only as visual
inspection aids; the authoritative dataset is the complete set of .npz
shards.
Download
huggingface-cli download maxmill/aq-mario-smb1 random --repo-type dataset --local-dir ./aq-mario-data/random
huggingface-cli download maxmill/aq-mario-smb1 ppo --repo-type dataset --local-dir ./aq-mario-data/ppo
The model and dataset are separate repositories so users can download only the artifact they need. The model page links back here, and the GitHub project links to both.
Data and rights
These are derived gameplay observations from Super Mario Bros. 1-1. AQ-Mario is an independent research project and is not affiliated with or endorsed by Nintendo. Use of the derived data is subject to the rights and terms applicable to the underlying game content.
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