novastar112/visgym_pacman_2d_remap

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 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.

Source Hub repo: https://huggingface.co/datasets/DarthVaderSenior/visgym-pacman-2d

Source revision: e8a56cb9eb188811563513a331ed05b0be89e2e5

Remapped Hub repo: https://huggingface.co/datasets/novastar112/visgym_pacman_2d_remap

Remap

This remap variant keeps the original episode records and shard layout, but rewrites each history step so image_prev is the same rendered frame as image. For the final history step of each episode, image_next is also rewritten to that final image.