novastar111/pacman_v0

VisGym Pacman2D Deterministic Trajectories

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.
• 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

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/novastar111/pacman_v0