task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs dict | seed int64 2.03B 2.03B | episode_seed int64 3.03B 3.03B | episode int64 0 27.7k | extra_state dict | timestamp stringlengths 19 26 | history listlengths 2 30 | stats dict | init_state dict | init_state_hash stringlengths 64 64 | solve_kwargs dict | version stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {
"max_steps": 30,
"success_threshold": 0.9,
"init_distribution": "maniskill_like",
"control_hz": 1,
"easy_mode": false,
"observation_width": 96,
"observation_height": 96,
"visualization_width": 96,
"visualization_height": 96,
"action_codec": "norm2"
} | 2,026,042,400 | 3,026,042,400 | 0 | {
"checkpoint_root": "/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_msinit_delta64_norm2_20260502",
"checkpoint_path": "/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_msinit_delta64_norm2_20260502/best_model.pt",
"observation_kind": "pusht_ppo_low... | 2026-05-03T00:06:49.853064 | [
{
"step": 0,
"prompt": "You are controlling a 2D PushT environment from a top-down image.\n\nVisual elements:\n- The blue circle is the controllable pusher/agent. It moves through the plane and physically pushes the object.\n- The gray T-shaped block is the object that must be moved.\n- The green T-shaped o... | {
"step": 9,
"reward": 4.84470040136501,
"terminated": true,
"truncated": false,
"success": true,
"coverage": 0.9099659439366508
} | {
"agent_position": [
157,
486.4
],
"agent_velocity": [
0,
0
],
"block_position": [
315.73188294875774,
348.29903260723984
],
"block_velocity": [
0,
0
],
"block_angle": 1.2220005582148996,
"block_angvel": 0,
"goal_pose": [
256,
256,
0.7853981633974483
... | e7c491aef37fe63529cc188336fe61c9b3646d912ad96ed1cc24eafa7be4e436 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,042,656 | 1 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:51.179599 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":28,"reward":16.516485852745646,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[198.35090677978536,259.(...TRUNCATED) | d0fc4670456eb555a18cebae6edfe6e4cec7fabe6d92832377bdf27d7d41aa55 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,042,720 | 2 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:51.489006 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":14,"reward":7.47706213755413,"terminated":true,"truncated":false,"success":true,"coverage":0(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[322.97902048632386,378.(...TRUNCATED) | 9e8206d36cd7d69d338b6c92e2c39510b94640058b9e436f91cfbf7530efb2d9 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,040 | 3 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:52.977068 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":23,"reward":11.084032144022013,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[243.15319963408626,305.(...TRUNCATED) | 5aed2572c7c42c6f2a1afa76be98b63e47fd3eda2ca7f67854093a3b2aa0844e | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,104 | 4 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:53.372236 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":19,"reward":13.55792356334266,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[327.9534014370455,395.9(...TRUNCATED) | 1d11a838c1b91a649b98a44cc173ca52b0f8a99cd567fb3bf685942786ae0be7 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,168 | 5 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:53.703349 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":13,"reward":5.905015010520333,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[254.90630518488106,249.(...TRUNCATED) | 059e6fa6f51fa40a22df1f06eaa55e481960303f0b0486c8bd2c049fdbc3debb | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,232 | 6 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:54.218732 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":22,"reward":11.696519684915412,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[250.27820849451356,343.(...TRUNCATED) | 296ac72acced3d578b0f4ba4c9485a12947b6b4b67be80b2b47eb494088d168a | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,296 | 7 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:54.591617 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":17,"reward":7.08774555623277,"terminated":true,"truncated":false,"success":true,"coverage":0(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[332.9995112447327,313.6(...TRUNCATED) | 245089ade118535828ebc4ead12db078d2b2f47f1203ea0babad051e30680fe7 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,488 | 8 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:55.490970 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":18,"reward":10.993222263537474,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[283.0499424679924,391.7(...TRUNCATED) | d9e930373e3001a2e77a7542db13fb7f46a03ad36a5b83a99b325bf3091d074a | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,400 | 3,026,043,616 | 9 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_10m_1hz_(...TRUNCATED) | 2026-05-03T00:06:56.646228 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":27,"reward":16.362086390695406,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[180.46587835371585,364.(...TRUNCATED) | 5ecef39cd1ea7f3d4c72eec3247b5d3d4c87f9b50c3de0fe7866833ba5c0d05d | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
End of preview. Expand in Data Studio
pusht_96_norm2
96px PushT PPO successful trajectory dataset.
The trajectories are generated by a 1Hz PPO PushT solver with action codec norm2, rendered images in history[*].image, image_prev, and image_next at 96x96 and JPEG quality 85.
Splits
| split | records | format |
|---|---|---|
| train | 500,000 | gzip-compressed JSONL |
| test | 1,000 | gzip-compressed JSONL |
Train/test initial states are filtered to be disjoint by init_state_hash; see metadata/.
Coordinates in move actions use normalized [0, 1] coordinates rounded to exactly two decimal places; execution decodes them back to PushT 512x512 physical coordinates. Rendered images are 96px.
Target Hub repo: https://huggingface.co/datasets/novastar112/pusht_96_norm2
- Downloads last month
- 37