task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs dict | seed int64 20M 1.12B | episode_seed int64 20M 1.12B | extra_state null | timestamp stringdate 2026-04-25 06:33:01 2026-04-25 06:46:06 | history listlengths 9 31 | stats dict | init_state dict | solve_kwargs dict | version stringclasses 1
value | episode int64 0 4.39k | difficulty stringclasses 1
value | dataset_pipeline stringclasses 1
value | init_state_hash stringlengths 64 64 | solve_info dict | generated_at stringdate 2026-04-25 06:33:01 2026-04-25 06:46:06 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,000 | null | 2026-04-25T06:33:02.488128 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 23,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 0 | ultrahard | behavior_cloning | 48e6461420ededb9ab4a46d4784fdb3ee847c7e63fb9874fcd44ba43bcbac7c3 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:02.489028 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,001 | null | 2026-04-25T06:33:02.817067 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 10,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 1 | ultrahard | behavior_cloning | e742dcc47146f9d8a30cf195f85290eec5235b0a262347eb2839d779eec8cf43 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:02.817730 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,002 | null | 2026-04-25T06:33:05.756044 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 23,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 2 | ultrahard | behavior_cloning | 020f6c0c2ec99307a2e74349533044189376ade762e35cb1060a697df6483a64 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:05.756731 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,003 | null | 2026-04-25T06:33:07.010168 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 18,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 3 | ultrahard | behavior_cloning | 80089144f31cb13acb0d45b42893e89edc9de97987a2b28334815a9857464a08 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:07.010890 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,004 | null | 2026-04-25T06:33:08.250314 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 17,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 4 | ultrahard | behavior_cloning | f9301c064d9d4325749713d6eed81725cac11447a4949c048cc9630a84cbfb30 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:08.250958 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,005 | null | 2026-04-25T06:33:10.886047 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 27,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 5 | ultrahard | behavior_cloning | eb04d6e89f3f34ea42435d1c943f16e5162c823ba0b6b9511f15db626f22e5f3 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:10.886514 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,006 | null | 2026-04-25T06:33:11.070021 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 10,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 6 | ultrahard | behavior_cloning | 1efcb7097da4501a7f10f4b552b6528db84eed76ccc9f904d9f70765bfd2f39e | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:11.070645 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,007 | null | 2026-04-25T06:33:14.101787 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 16,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 7 | ultrahard | behavior_cloning | a02dbeb50ccae4b4bdc783929d27bf37294eafbe909fe966f609d494ed763e1f | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:14.102429 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,008 | null | 2026-04-25T06:33:14.655343 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 12,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 8 | ultrahard | behavior_cloning | 410f8f087158cc42e97663e73d99d6818aff18581c19a62f6f485eb463103c9f | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:14.655987 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 20,000,000 | 20,000,009 | null | 2026-04-25T06:33:15.016717 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {
"step": 12,
"reward": 1,
"terminated": true,
"truncated": false
} | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"strategy": "receding_horizon",
"horizon": 8
} | visgym_repo_solver_v1 | 9 | ultrahard | behavior_cloning | cb3436ab3bc806846ff408d2e7540cdf1bd4c67a94d2370f589b55ebb504fec8 | {"strategy_requested":"receding_horizon","planner_used":"shortest_safe","fallback_planner":"receding(...TRUNCATED) | 2026-04-25T06:33:15.017325 |
End of preview. Expand in Data Studio
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.gzdata/pacman_2d_easy_v0/test/*.jsonl.gzdata/pacman_2d_hard_v0/train/*.jsonl.gzdata/pacman_2d_hard_v0/test/*.jsonl.gzdata/pacman_2d_ultrahard_v0/train/*.jsonl.gzdata/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.
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