task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs dict | seed int64 30B 30.7B | episode_seed int64 30B 30.7B | extra_state null | timestamp stringdate 2026-04-28 17:34:52 2026-04-28 17:52:33 | history listlengths 2 20 | stats dict | init_state dict | solve_kwargs dict | version stringclasses 1
value | episode int64 100k 106k | difficulty stringclasses 1
value | dataset_pipeline stringclasses 1
value | init_state_hash stringlengths 64 64 | generated_at stringdate 2026-04-28 17:34:52 2026-04-28 17:52:33 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,000 | null | 2026-04-28T17:34:53.440312 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":12,"reward":-1.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_ste(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,000 | ultrahard | random_policy_world_model | 6485f0ac7b214c7db404cb5ddde5c230adac494dce235120ad3c726c3c65af91 | 2026-04-28T17:34:53.441324 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,001 | null | 2026-04-28T17:34:55.069131 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":7,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_steps(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,001 | ultrahard | random_policy_world_model | 9a4b9eb31a87b5372e6ce9df2fd388fa79b0d7cc7920dd053e13b45e0c6ae0ef | 2026-04-28T17:34:55.069712 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,002 | null | 2026-04-28T17:34:55.395502 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":8,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_steps(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,002 | ultrahard | random_policy_world_model | 5acf73c408de16ea987f97e723034425da0287427156fdfa0d02d1bdbbc5accc | 2026-04-28T17:34:55.395911 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,003 | null | 2026-04-28T17:34:57.345691 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":false,"rollout_capped":true,"rollout_max_step(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,003 | ultrahard | random_policy_world_model | bfc61e2ec7b9a849616663b38e58dc0653ff98e8d494355b5b0d0c97ce48343e | 2026-04-28T17:34:57.346350 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,004 | null | 2026-04-28T17:34:58.000203 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":8,"reward":-1.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_step(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,004 | ultrahard | random_policy_world_model | 42ff5b89bfd37a18eba1b7c14591ccc0ec17ebcf648ce07fad96ed4a978d378a | 2026-04-28T17:34:58.000836 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,005 | null | 2026-04-28T17:34:58.387421 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":17,"reward":-1.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_ste(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,005 | ultrahard | random_policy_world_model | 1ff903c3aaac7543fc55f907a140e921a474dc1cc16c8f72e445a3c3788edbb5 | 2026-04-28T17:34:58.387920 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,006 | null | 2026-04-28T17:35:01.932550 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":5,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_steps(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,006 | ultrahard | random_policy_world_model | db13da1b91e77cfb9b6532dab4c77396a0ae69d2658ddbf3c0f605a9c9eb1414 | 2026-04-28T17:35:01.933409 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,007 | null | 2026-04-28T17:35:02.206991 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":17,"reward":-1.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_ste(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,007 | ultrahard | random_policy_world_model | 38437bef37af50fe74276f66f70bd4724ad4b0f35991f7ec2489693d619bf361 | 2026-04-28T17:35:02.207354 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,008 | null | 2026-04-28T17:35:03.587446 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":false,"rollout_capped":true,"rollout_max_step(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,008 | ultrahard | random_policy_world_model | 984d9956ba52eb4e2c2b69cb5beb2a40b383286cfd19fd9a8b4fa8e5dc19ab5e | 2026-04-28T17:35:03.588064 |
pacman_2d_ultrahard_v0 | pacman_2d/hard | {
"food_count": 8,
"max_steps": 40
} | 30,000,000,000 | 30,000,000,009 | null | 2026-04-28T17:35:04.268658 | [{"step":0,"prompt":"You are Pacman in a deterministic 11x11 maze. Collect every food pellet, avoid (...TRUNCATED) | {"step":10,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"rollout_max_step(...TRUNCATED) | {"backend":"custom_grid_pacman_python_assets","difficulty":"hard","grid_size":11,"food_count":8,"wal(...TRUNCATED) | {
"policy": "random",
"random_stop_prob": 0.05,
"stop_eligible_after_step": 0
} | visgym_pacman_random_policy_v1 | 100,009 | ultrahard | random_policy_world_model | 3306506107c560ccbddc2bd998469b650db5d09768397d78940c0e7895318dbe | 2026-04-28T17:35:04.270117 |
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VisGym Pacman2D Random Policy World-Model Trajectories
This dataset contains random-policy interaction trajectories for the custom VisGym Pacman2D environment.
Each row is one environment trajectory. The history entries include image_prev, image, and
image_next base64 JPEG frames, the prompt shown at the step, the sampled action, reward, and
environment info. The policy samples move actions uniformly and samples the valid stop action with
the configured random stop probability after the first step.
Default generation layout:
data/pacman_2d_ultrahard_v0/train/*.jsonl.gz- 20-step rollout cap
- task config:
pacman_2d/hardwithfood_count=8andmax_steps=40
Generation counts, hash audit, and validation metadata are in metadata/.
Target Hub repo: https://huggingface.co/datasets/novastar112/pacman_v0_random
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