task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs unknown | seed int64 10M 1.31B | episode_seed int64 10M 1.31B | extra_state null | timestamp stringdate 2026-04-25 05:12:22 2026-04-25 05:14:49 | history listlengths 5 20 | stats dict | init_state dict | solve_kwargs dict | version stringclasses 1
value | episode int64 0 130M | difficulty stringclasses 1
value | dataset_pipeline stringclasses 1
value | init_state_hash stringlengths 64 64 | solve_info dict | generated_at stringdate 2026-04-25 05:12:22 2026-04-25 05:14:49 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,000 | null | 2026-04-25T05:12:22.317197 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 8,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 0 | easy | behavior_cloning | c3920c9d23cff2a403dad004b7119653bb504839d98397a4bdd2a83a3ebe05e0 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:22.317782 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,001 | null | 2026-04-25T05:12:22.481746 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 9,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 1 | easy | behavior_cloning | 7c1afe6233830aa570ed7658d3a47830a27fddcf775aef7daf9e93b94e88abbe | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:22.482223 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,002 | null | 2026-04-25T05:12:22.855139 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 14,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 2 | easy | behavior_cloning | a9921b72d9e6c146b7d4be61070689d62ec7d19c6c4abbe6a8606657225dd0f0 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:22.855543 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,003 | null | 2026-04-25T05:12:23.019142 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 9,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 3 | easy | behavior_cloning | 350b45953941eb2c5b03f8f8c26d826ba0a7bcc83306a46ea2870f7668a86b61 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:23.019570 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,004 | null | 2026-04-25T05:12:23.456061 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 14,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 4 | easy | behavior_cloning | 320fc0147125b538063c6f5c66f712864ab8afbf0dfefbf247aa767b6d440ace | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:23.456981 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,005 | null | 2026-04-25T05:12:23.589431 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 8,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 5 | easy | behavior_cloning | 72d0f9accfd67883b614bfae2509aac2b1c8bf30fd92d512c0e6f1055874a1e4 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:23.590213 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,006 | null | 2026-04-25T05:12:23.674364 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 6 | easy | behavior_cloning | 43e51de06c0c5e941e416e52a1642fc5db2fa6c3c6b9a35307b47ee339d6f500 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:23.675880 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,007 | null | 2026-04-25T05:12:23.764038 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 7,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 7 | easy | behavior_cloning | fdfe116ddb339f6f55306885339dbfebd206d5b80ff47a9bfb7cf670827e8817 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:23.764444 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,008 | null | 2026-04-25T05:12:24.061900 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 11,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 8 | easy | behavior_cloning | 27f95ce730b7624b2f2b050c61970adef305bdf67eb454f0926859352b08e201 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:24.062383 |
pacman_2d_easy_v0 | pacman_2d/easy | {} | 10,000,000 | 10,000,009 | null | 2026-04-25T05:12:24.266233 | [{"step":0,"prompt":"You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid th(...TRUNCATED) | {
"step": 9,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":4,"wall(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 9 | easy | behavior_cloning | aa10ae97ebacd4d4c120b0a9b9df36e0a3424c889108b0bfa08604f12d3bb9aa | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T05:12:24.266698 |
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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.gzdata/pacman_2d_easy_v0/test/*.jsonl.gzdata/pacman_2d_hard_v0/train/*.jsonl.gzdata/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
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