DarthVaderSenior/visgym-pacman-2d

该数据集包含自定义VisGym Pacman2D环境的行为克隆轨迹。每一行代表一次成功的oracle episode。历史条目包括image_prev、image和image_next；未存储合成思维轨迹。图像是从环境使用的greyblue9/pacman-python视觉资源渲染的JPEG base64字符串。环境总结：网格大小限制在7x7至12x12之间；Easy使用9x9设置；Hard使用11x11设置，包含8个食物颗粒；Ultrahard使用11x11的困难布局，包含8个食物颗粒和40步预算。实体包括Pacman、稀疏食物、墙壁和一个确定性幽灵。幽灵通过BFS距离追逐Pacman，固定平局打破顺序为上、下、左、右。移动动作空间为四个方向；VisGym记录还可以以(stop, stop)结束。数据分割路径包括：data/pacman_2d_easy_v0/train/*.jsonl.gz、data/pacman_2d_easy_v0/test/*.jsonl.gz、data/pacman_2d_hard_v0/train/*.jsonl.gz、data/pacman_2d_hard_v0/test/*.jsonl.gz、data/pacman_2d_ultrahard_v0/train/*.jsonl.gz和data/pacman_2d_ultrahard_v0/test/*.jsonl.gz。训练/测试初始状态通过init_state_hash检查为不相交，详见metadata/init_state_hash_audit.json。目标Hub仓库：https://huggingface.co/datasets/DarthVaderSenior/visgym-pacman-2d。This dataset contains behavior-cloning trajectories for the custom VisGym Pacman2D environment. Each row is one successful oracle episode. The history entries include `image_prev`, `image`, and `image_next`; no synthetic thinking traces are stored. Images are JPEG base64 strings rendered from the greyblue9/pacman-python visual assets used by the environment. Environment summary: Grid size is constrained to 7x7 through 12x12. Easy uses the 9x9 setting. Hard uses the 11x11 setting with 8 food pellets. Ultrahard uses the 11x11 hard layout with 8 food pellets and a 40-step budget. Entities are Pacman, sparse food, walls, and exactly one deterministic ghost. The ghost chases Pacman by BFS distance with fixed tie-break order up, down, left, right. The movement action space is four directions; VisGym records can also end with `(stop, stop)`. Splits: `data/pacman_2d_easy_v0/train/*.jsonl.gz`, `data/pacman_2d_easy_v0/test/*.jsonl.gz`, `data/pacman_2d_hard_v0/train/*.jsonl.gz`, `data/pacman_2d_hard_v0/test/*.jsonl.gz`, `data/pacman_2d_ultrahard_v0/train/*.jsonl.gz`, `data/pacman_2d_ultrahard_v0/test/*.jsonl.gz`. Train/test initial states are checked to be disjoint by `init_state_hash`; see `metadata/init_state_hash_audit.json`. Target Hub repo: `https://huggingface.co/datasets/DarthVaderSenior/visgym-pacman-2d`.