The Dataset Viewer has been disabled on this dataset.
Saved checkpoints, simulator inputs and raw outcomes for the four benchmarks in the report. Training and evaluation code lives in the GitHub repository.
| Benchmark | Setting | Runs | Size |
|---|---|---|---|
| KeyCorridor | S3R2 · S3R3 · S4R3 · S5R3 | 640 | 6.56 GB |
| MiniGridLoCA | Reward change from AWAC, SAC and QAC starts | 480 | 8.05 GB |
| DeepSea | N = 10 · 20 · 30 · 40 | 520 | 3.51 GB |
| SecureCourier | Gate skill and route choice | 50 pairs | 10.63 GB |
Usage
pip install -U huggingface_hub zstandard
huggingface-cli download denghanning/COMP8800_Research_Project --repo-type dataset --local-dir data
cd data
python archive.py verify --release DeepSea
python archive.py restore --release DeepSea --output DeepSea
Files are packed into 256 shards (shards/) indexed by manifest.sqlite; SHARDS.json lists their SHA-256 checksums. restore checks every file against its checksum.
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