diff --git "a/train/batch_000856.jsonl" "b/train/batch_000856.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000856.jsonl" @@ -0,0 +1,100 @@ +{"episode": 85600, "episode_seed": 3183356413, "split": "train", "timestamp": "2025-09-16T00:20:14.835403", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3183356413, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.620118324708893, 38.04532907838826, 26.81529157018726])", "action": "('move', [6.620118324708893, 38.04532907838826, 26.81529157018726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.620118324708893, 38.04532907838826, 26.81529157018726])", "action": "('move', [6.620118324708893, 38.04532907838826, 26.81529157018726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.620118324708893, 38.04532907838826, 26.81529157018726])", "action": "('move', [6.620118324708893, 38.04532907838826, 26.81529157018726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "98226bc89abc1292732b14b194be35e326e0b95e4a913a1a358008ffb7048de3"} +{"episode": 85601, "episode_seed": 3174432999, "split": "train", "timestamp": "2025-09-16T00:20:15.787114", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3174432999, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1496535744306857, 2.7459114373353923, 43.66273268134527])", "action": "('move', [1.1496535744306857, 2.7459114373353923, 43.66273268134527])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1496535744306857, 2.7459114373353923, 43.66273268134527])", "action": "('move', [1.1496535744306857, 2.7459114373353923, 43.66273268134527])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1496535744306857, 2.7459114373353923, 43.66273268134527])", "action": "('move', [1.1496535744306857, 2.7459114373353923, 43.66273268134527])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjElEQVR4nO3cTYhd5R3H8f85d+4oThe1SA3WTUKRdqPSiiupC19IhVZDim6KFYJWYi1EQ1vUdlNblASrYmx9jdESiSAGQ6HBQitdp7a6EhetoEggBUkUMpm55+niToMLrS9NZjL+Pp/lMIvDcL/zPM//nnO61loBGfqVvgBg+Qgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggh+5Q1DtbbSF0GGmZW+gHStVe+/LsvFZ23FtFbDUF1XL71UBw6s9NWQQfArY5p639euXbVxY23cWG+9tdLXRADBr4DJpPq+5ufrFz+f3HDDcORIvflmbdhQ77/vMM/J5Qy/3CaTGo3qnXdq69Zh9+6u7/uur8liO+ec7siRmpur1qrrVvoq+Zyywi+rae1/O9A2bqzdu7vxuB+GmiwOt29pe/bUmjVq5+Tqmk3kspj+mbuu9r7QfnRre/vt/rTTan6+5s5o27e1mzf3x38BTh5b+uUwDEvfvT3wm+Fnd7SjR0ezp9X8fK1d2x57rLvssm4yWZrhwUllhT/pFhdrZqYOH64776yHHmpV3cxMLS62b13Sdu7q161bmthb21kGgj+5FhZqPK433qhbb639+6vvq7Vqrf3g+8OO347mvuDQzrKyiTxZpvfVjMf1lz8PV3+37d9f4/HST+7+ZT31zOgMtbPsnOFPiumhvetq11Nt69Z26N/ddER39tm1Y0dt3OjQzsqwpT/xprUPQ911V23f3hYWuplxLS7U+ee3p5/uLrhg6cYbazvLT/AnUms1mdTMTB06VDffNDz/Qj+dxg1Dfefbw5NP92edVW2oMqJjhdhTnjDHa3/t1bb+isnzL3QzM9VajUZ1+5Zh777+rLNqGKqztrNyBH9itFat1cxM7d3brrqqHfh7PzvbLS7Wl744PPxw235fX70nYVl5tvQnwPFh+7331t1313vv1XhcCwvtq2uHx3f2l17aObRzihD8/2s6ojt6tDZvrqeeWtrDTyZ16SWTnbv6tevUzinEFvOzmx7a+77efLOtv3Kyc+fSjn0yqU2b6g9/HK1d1w2TGo3UzqlC8J/RtPbRqF5+ua68vL381348W5NJzc3Vtm31+OM1N1fDUP1opS8UPsCW/rOYjuj6vh57tP3kp92779bsbB07Vl85Z3hoR3/NNeXRN05N7rT71JZGdK22bhnuu79rVaNRHTtWF31zeOR33TcuqsVF23hOUVb4T2c6ojt0qG7cNOx9sRuNutZqGNp119b9D9SaNd302Tg4NTnDf1LHR3SvvFJXXD7sfbGfne0mk+pquPOO9szvO7Vz6rPCfyLDUFXV9/X883XLLXXwYE0fhjnzzGHbvbXpxr4+8JYLOGX5hH6844++3XNPXXddHTxY43HNz9fXv9aee67bdGM/mVSV2lkFrPAfY1r74cN125bhiSe7ruv6viaTWr++Hnigzjtv6cs5WBWsSh+p/fcF8q+/3q6+up54shuPu6qaTGrz5nr2WbWz+hgxfbShRqP600vtppvqn/+q00/vjh6t2XH71a/bli399P5ZtbO62NL/L48+0n58a5tfWHql9LnntgcfrA0bOvfVsErZ0n+I1mphoW6/rX54c80v9ONxzc+3iy8e9u3rNmzovGSW1UvwH661+serVdWNRrWwMFz7vWHfi/2FF/rujdXNh/dDdF3NztaePXX++TWZ1F13dLueGX357KUZHqxezvAfbnrD/Cuv1Guv1fXXV5URHZ8Hgv9IH3xpvBfI8/kgeAjiSApBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gORSA8nHBxAtAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7f685de89b74caa013b66b9727df2385a65a487d5356740dd978f089e4f05478"} +{"episode": 85602, "episode_seed": 2535843946, "split": "train", "timestamp": "2025-09-16T00:20:16.384746", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2535843946, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-29.22491511680138, -9.414362907799743, 28.815063427954556])", "action": "('move', [-29.22491511680138, -9.414362907799743, 28.815063427954556])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-29.22491511680138, -9.414362907799743, 28.815063427954556])", "action": "('move', [-29.22491511680138, -9.414362907799743, 28.815063427954556])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-29.22491511680138, -9.414362907799743, 28.815063427954556])", "action": "('move', [-29.22491511680138, -9.414362907799743, 28.815063427954556])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI3ElEQVR4nO3cXahlZR3H8f9ae5+tEigWlApCJF4NBSLa4FSKyqhIZCNlo2j2ooMK45SCNTMXIr7ly3hRF0aC4NWQGlOgIKQVYpEXCYZ6YWqKDo06mqONM2f2XquLPWGJOc549Jwzv8/ndt88bM73/J+1n7VW0/d9ARna+V4A8PERPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQR/Lt1XY3H1ffzvQ74CDS9P+3/0nXV+h/I/stf9zumtb/2Wt19d+3YUX1vzrO/Efw72rYee6xWrKjzzqtNm6pp5ntBMNds6auq+r6apl56qY49trZsqar61KHdn/7cHH10M/0I9g8mfFXtTvqww+r886tpazSqra+33/tOt2tXVdnYs/8Q/G5dV4NBrV3bn/ilbna2hsN6+JHBuvV909RkMt+LgzliS/+OyaQGg/rr493y5fXyK03bNqNR/8uNdeZXm+lHsNiZ8O8YDGoyqc9/ob3uumY4bPqq7dtr9er+6af76Uew2An+f7Rtzc7WBd9uzv1WPxnXcKZ59u/t+vXN229X07iYZ9GzpX+36c/y296oE06YPPHkYDSq2dm67bZas6Zs7FnsBP8eps0/+midckpt315dV6NRPfRQv2yZUzoWN1v69zDdvR9/fF17bXVdDYc1O1sXX1xbt7r9jsVN8P9X19WqVXX22f143A+H9eSTzRVX9G0reBYxwb+36b79wANrw4ZasqQmkxqN6q676hc/n7RtjXfN9/pgn7iGfz/jcQ2HtWlTf965zY6d1ff1mU/3mzbVF5c6mWdRMuHfz3BY43GddVazZvWk67qZUf1jS7NufW3bVvb2LEYm/B5Mv57JpE5f3j34u3Y4rPG4/+Ga7tYNg0lnyLPICH7PpkdxTz9dX/lyv+Xlpm2r+v7ee+trZzmlY5Gxpd+z6Snd0UfXhlv7vp/0fU265tLLmuefd/sdi4zgP5DpM3Mrz2svX912XX/AAbV5c61aNd/Lgr0k+A9qOszXrmuWLWt27qyZmXrggbr66mqa2rXLnGdxcA2/F6andI88UmeeWW++WU1TBx9cGzfW8uVus2dxMOH3wnBYk0ktW1bXX199X21br7/er1kz2fxSPxhU1833+mBPBL932rbG41q1qr75jX7XrhoOm6eeaq+6qp+d7cvLsFjwbOn32vQo7pWX64Sl3d+ea0ejGo/r9tvroovKKR0LnOD3xfQN9n/4fb/8tH48bruuPnFg9/Afm2OOcTLPgmZLvy+mv9ifeFJzzTVt39doVP/a0X7/wv6Nf3p+lgVN8PtiOsMnk7rkkv6M07vZ2X4wqL883v7ox33bVtdpngXKln7fTY/innmmP/XU/oUXmsGgadu6885audIpHQuUCb/vpq+yPeqo5sYb25mZputq58668sp6/PHyllsWJsF/KINBjcd1zjm1atXul2Rs3lxr19Zbb3l+loVI8B/WcFhVddNNtXRpzc7WzEzdd19/yy1d07gVhwXHNfwcmB7FPfFEnXxy/+qrTVVVN7n//ua0M1qndCwoJvwcmA7zJUvqhuur67qq6mpw6WXNiy9Wuf2OhUTwc6NpajKuCy5ovnth33XdaFTPPlc/uLybjnfNs0AIfm40TTVtDWfqhp8MjjuunZ2tmVFzz6+aW26aNE2Nx/O9Pqgq1/Bza/r87IO/7Vd8vd7a3vRVnzy07rmnP+kkb7llQTDh59L0+dlTTm3Wreu6rpsZ1tatddVVzRtvlOdnWQhM+LnXdVVNrTir+/Vvdr/lduXK5o476qCDqsqP9swnE37utW01VT/9Wfu5z3bjcVU1Rxyx+7he7cwvwX8k+r6OPLJu3dAefnht3Fg331yjkdqZf7b0H5Xp97ptWx1yyHwvBf5D8B8H99uxQNjSfxzUzgIheAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyb5S9J3/tnNn/AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1981e4705b48b5f726383746ca2c5fdf9bb54ed9d685dd1a378a9414b1f3a926"} +{"episode": 85603, "episode_seed": 1040139178, "split": "train", "timestamp": "2025-09-16T00:20:16.978428", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1040139178, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.629672241674224, 3.407806950903615, 2.0277796123492067])", "action": "('move', [4.629672241674224, 3.407806950903615, 2.0277796123492067])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALm0lEQVR4nO3dW4hV1QPH8d8+58wlVKpJpTStZrKUiCTDaiQQgiDIB9PKC2IKpomj2cUwKkOK7mGNN0ojxsZ0Jp0HNWvoBoKQYhiBBGESFYglkWaOcy77/7D3zFR/zfIy5+zz+37wQfRlMfh17b3W2nsHYRgKgIdUsQcAoPcQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCR68LQxUKxR6EqSAMw2KPAa7CUEFQ7EF4YYZHLwpDhaF27NCECfr5ZwWB8vlij8kLMzx6SzSfHz6s0aP13Xeqr1dTk+rqlMspkyn24Fwww6O3RFfvNTW6/35VVGjnTo0fr927lcmIWae3EDx63VNPqbFR/frp6691331qa1MQ0HzvIHj0umxWs2frnXc0aJAOHNC+ffGf0/z5xz08el0YKp9XJqNt27R3rxYsUN++KhSUSsV/y9L9eUPwKIZouT711wvM779X//7q06cnfpxr/FhRDEHQk3ShoDDUJ59ozBg99JCOH1cqxcmc84TgUWyplMJQ7e366SetWaMZM/TrrzR/nhA8ii26qXz8cc2cKUkbN2rSJP34I82fDwSPYgsCBYFqarRypR57TKmU2ts1YYL27aP5c47gUQKCQIWCKiv10kt68UVVV2vXLk2cqB07eNLm3GKVHiWje0Nu3TotXKjDh3X77Wpp0cUXx3/Fdt1Z4wwzSkbUcxhq2jT166fGRi1Zopoa5fOkfq4ww6PERNfw6bSOHVOfPn/58wjxnwXu4VFigkDptMIwPoEjKZfTtGl69NH4qp5b+rPAJT1KUvQ4TTSZr1qld9+VpOPH9dprqq5WPq90urgDTChmeJSq7lW6KVM0YYIkrVql6dN1+LDSaeVyxR1dQhE8SlsY6pJLtH69Zs+WpJYW3XuvDhxQJsO1/RkgeJS26No+k9GKFXr6aaVS+vRT3X239uzhWM4ZYJUeSRCFnUpp5Uo98og6OnTdddq8WcOGneSpO5waPykkQSoVT/Vz56qpSX37auxYDR4c/0cQPWyLf4EZHsnRvW7/zTe6+ur4Nr57eufNGf8CwSOxosK3btW332rhQkm8OeO02IdHAnWfxvvyS02dqiNHdOiQli5VRQXN/zN+NEigaIs+DNW3r+rrJemFFzRnjo4eZen+n3FJj8SKLumPHNHcuWpulqRx47R2rQYM4H7+VAgeSRaFnctp0SK9/roKBd16qzZs0NChxR5ZiSJ4JFz3Tfvzz+uZZ9TZqWuu0fbtqq1lnv9/3MMj4aJ3YIahFi/W8uWqqlI2q99+Y2f+pJjhURa6X3Tf2qq6Ot14Y7EHVKIIHmWk+7FZNudOgeBRXqLPWvC0/CkQPGCEyx7ACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjASGKCD8NijwBIvmQEH4bxLwBnI1PsAZxeGCoIFAQ9vwdwZkp9hi8UFATatUtjxuiLLxQEKhSKPSYgsUo6+EJBYajt2zVxonbu1NSp2r9fqZTy+WKPDEim0g0+uno/flxvv60fflBlpfbv18SJOnhQ6TTzPHAmgrCEl8IKBaVSOnBA48frq6+UySiX09ixamlR//4KQ6VK9/8roBSVdDHR1ftVV6m1VbW1yuVUUaHPP9e8eTp2TBLzPPDflHTwktJp5fMaNkwtLRowQNmsKivV0qLFixUESqXYqwP+g1IPXl3Njxql9et1wQXq7FQmo+XLtXRpsUcGJE1J38P/WbSG19KiGTPU0RGfw2ls1Lx5yuWUTrM/D5xekoKPVulWrNDDDysM4y36des0aZLyeaXTxR4iUPIScEkfiQ7b5XJ68EEtWqRsVkGgMNScOfr4YzbqgH8lMTN8pFBQoaB8Xg0Neuut+Pa+f39t2aJbbmGeB04jYcGr62a+s1OTJ2vzZlVWqrNTV16pDz7QiBHx1j2Ak0pe8Opq/tgxjRunzz6Lmx85Utu2adAgHrABTimRs2F0996nj9av18iR8Ubd3r2aOlW//MIDNsApJTJ4Ka760ku1aZNGjOg5hDd3rn7/XeIQHnAySQ1eXQdva2vV1KQhQ5TNqqpKra1avFgS8zxwEgkOXlI6rWxWN92kNWt04YU6cUKVlVqxQs8+G2/jJXCBAjiPErlo9zfRbtx772n6dGWz8V7dG2+ooUG5nDIJeKkP0EuSPcNH0mmFoSZP1quv9pyxnT9fzc3xE7UAIuUQfCQ6jfPEE/HR+lRKDzyg7duVyfCGHCBWDpf0kTCMw25o0OrVPYfwNm/WbbdxCA+Qyil4dW3FZbOaPl0bN8YHcurqtGmTbriB+3mgvIJX11ux/vhD48ervV3V1ero0OjRam3V0KHM83BXbsGrq/lDh3TXXdq9O57n77hDGzfqoouKPTigqMpn0a5b9N6rgQO1YYOGD48P3ra3a9asnjdnAJ7KMHh1HbOrrdW6dbriCuVyqqzU++9r4cKeL9gAhsozeEmpVHwIb9Uq1dSos1PV1Vq9Wk8+GZ/Ao3kYKtvgJVVUKJvVnXdq2TJVVamjQ5mMnntOr7zC52tgqgwX7f4mWplvbNSCBUqnlcspCLR2rWbMYKMOdsp5ho9EB28bGrRkSfwUraT587VlizIZnqiDl/Kf4SPRPD9/vhob40N4AweqrU319bwVC0ZcgpdUKCiX08yZam6Ob+/r6tTWpuuv50AOXHgFn0rp6FFNmaKtW+NDeKNGqa1NQ4Ywz8OC0b/xaGW+Xz+9+abq69XRoepq7dmjWbN08CCfqYMFo+DV9Zm6yy7T229r+PC4+Y8+0rJlxR4Z0Cu8gpfib9Rce62am3X55ero0M036557mN5hwege/s+iVboPP1RTk15+WYMHcw8PC6bBq6v5EydUVcUqPVz4Bq+uL9gwt8OHdfAS36WCF/epjdphxT14wArBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5H8MSFNU8hBzQgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.629672241674224, 3.407806950903615, 2.0277796123492067])", "action": "('move', [4.629672241674224, 3.407806950903615, 2.0277796123492067])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALNElEQVR4nO3dW4hV1QPH8d+5zIVmJtKKwJiotCB6CHwoUgNhngqKnLFJMkknypIwHdMYS1MZ8RJdx1ulaFqTzaQVWJFkD1k9FFZgWFgk0Q2rwTJFnbPP2T3szfFvf++XOXP27/t5nPFhM+N31l5rr7VPKgxDAfCQLvUFAOg7BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4NHnwlCFQqkvwlQqDMNSXwNchaFSqVJfhBdGePShMFQYautWNTXpjz+USimfL/U1eWGER1+JxvOeHl1/vX74QcOGae1aDR6sIFA2W+qLc8EIj74S3b0PHKjx41VRoU8/1ahR+vxzZbNi1OkrBI8+N2uWOjpUV6ft23XnnXrzTaVSNN83CB59LpfTxIlas0aDBmnXLu3YEX+d5s895vDoc2GofF7ZrN55R199pYcfVm2tCgWl0/F3Wbo/ZwgepRAt16ePvMH88UdddJFqag7Hj7ONHytKIZU6nHShoDDUli0aPlxTpujAAaXT7Mw5RwgepZZOKwy1ebN++UUrV2rCBO3ZQ/PnCMGj1KJJ5aOPqqVFkl5/XWPG6Oefaf5cIHiUWiqlVEoDB2rZMk2frnRamzerqUk7dtD8WUfw6AdSKRUKqqzU4sVatEjV1frsM40era1bOWlzdrFKj36j+EBu3TpNnaqeHjU0qKtLAwbE3+Jx3RljDzP6jajnMNS4caqrU0eHnnhCAwcqnyf1s4URHv1MdA+fyWj/ftXUHPH1CPGfAebw6GdSKWUyCsN4B46kINC4cXrkkfiunin9GeCWHv1SdJwmGsyXL9crr0jSgQN6+mlVVyufVyZT2gssU4zw6K+Kq3R33aWmJklavlz33KOeHmUyCoLSXl2ZInj0b2GoCy9UZ6cmTpSkri41N2vXLmWz3NufBoJH/xbd22ezWrpUs2crndaHH6qxUdu2sS3nNLBKj3IQhZ1Oa9kyTZumgwd17bXauFFXXXWUU3c4Nn5SKAfpdDzUT5qktWtVW6uRI3XppfEfguiwLU4CIzzKR3Hd/ttvNWRIPI0vDu+8OeMkEDzKVlT4pk367jtNnSqJN2ecEM/hUYaKu/G++EJjx2rvXv3+u+bNU0UFzR8fPxqUoegRfRiqtlbDhknSwoV64AH98w9L98fHLT3KVnRLv3evJk3Sq69K0q23atUqXXwx8/ljIXiUsyjsINCMGXruORUKuvFGrV+vyy4r9ZX1UwSPMlectC9YoDlz1Nurq6/We+/pyisZ5/8fc3iUuegdmGGotjYtWaKqKuVy+vtvnswfFSM8EqH4ovvubg0erKFDS31B/RTBI0GKx2Z5OHcMBI9kiT7WgtPyx0DwyVTcmQL8L257EiuTUT5f6otAP0PwCRTdtH30UfxuOO7hUETwCZRKqb1do0dryZJ4ByrNI8LhmUSJVqnnz9ecOSoUNGWKenvV2hrvLmcTChjhEyVK+rffVCjEJ8emTdOCBYc3p8AcwSdK9Ox5yRJNn65cLn5PzMyZmjOH5iERfPJED+QWL9Zjj8Wr9Nms5s7VzJnxnwOad0bwSRMdFQ8Ctbdr3jyFofJ5VVZqwQI+uwVsvEmoqPNsVosWqa1NYajKSvX26qGH9Mwz/30ZHHwQfGIVj5M8+6ymT1cQqKJCuZzuv18dHaqspHlHBJ9w0ZHwFSvU2qoDB+Ltd3ffrWXLVFdH83YIPvmiqlev1uTJ2rdP2ayCQM3NWrFCAwbQvBd+1cmXTiuX04QJeuEFnX++gkDV1erqUkuL/vxT6TRb7o0wwlsIw3gOv2GD7rtPe/aouloHD+rmm7V6tS65hM9fdkHwLooHZjdt0vjx6ulRVZUOHVJDg9au1aBBNG+B4L1EM/YtWzR2rHbvjtftR4xQZ6fq62k++ZjDe4k22DY0qLtbl1+uXE7ZrD7+WKNGaedOjtAnH8HbSaWUz+umm7R+vYYMURCoslLbtqm5WV9/TfMJxy29qVxOFRX68kuNGaOdO+P5/DXX6LXXdN11CgJlOTmdRATvK6p6xw6NHq1vvonX7QcPVleXhg5lPp9MBG8tWsP7/ns1Nmr79ni/fX29urt1ww2M8wnEHN5atIY3ZIjefltDh6q3VxUV+uknNTbqk0+UzTKfTxqCdxedlr3iCr31loYPj9ftf/1VTU3asoU1vKQheMS7a+vrtWGDRo6M9+Tt3q3mZr37rjIZzs8nB3N4xKJVur/+0h136IMP4vl8TY06O3XbbZyxSQh+h4hFI/kFF2jjRt1ySzyf379fzc164w3O2CQEweOwaA2vrk5dXbr99ng+f+iQxo5VZ6cyGQVBqS8RZ4bgcYTogyvOO0/r1qm5WUEQd97SojVr4ndjMQssXwSP/4qar6nRqlUaNy6+kw8CPfigXnwxfvU1zZcpgsdRRPf2tbV66SXde288qkfvwOzokETz5YrgcXRR81VVWrlSkyapUIjffj15sp58UqL58kTwOKZi0kuXqrVV+Xx8Pz9jhtrb42/RfHkheBxP1Hw+r6eeUltb3Hw2q1mzNHv24X+AckHwOIHiR9nMn6+5c5XPxx9l096u1lbt2ycxzpcPgseJpdNKp1Uo6PHHtXChJPX2StK+faquLu2l4dSwtRYnK/qfkkrp+efV1qbGRr38cry2xyfPlwuCx+l4/32NGKGaGmovMwSPU0bk5Ys5PE5ZdISekaIcMcIDRhjhASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIvw1mQ1TRs9GzAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.629672241674224, 3.407806950903615, 2.0277796123492067])", "action": "('move', [4.629672241674224, 3.407806950903615, 2.0277796123492067])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "464dee5fb28dc518cd769583dbda8cd510c71c1f2b272ff37e2dcfa6da5d8ae3"} +{"episode": 85604, "episode_seed": 1092928465, "split": "train", "timestamp": "2025-09-16T00:20:17.577497", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1092928465, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.728646940225674, 5.744744280844894, 42.57397068767872])", "action": "('move', [5.728646940225674, 5.744744280844894, 42.57397068767872])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKhElEQVR4nO3cTWwU9R/H8c/MLpZYKi16MFptBZEgbdUKhMdqjJzUCPFGPHjxIGijiQcvmngxMWoipj7EhrsxURPxBAnR2oLENDyUWp6KFaikGjQGqQo7M//DjLstf1DDX+1/5vN+hZBmdynThne/v5n5LUGSJALgIZzpAwDw7yF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgkeBJMlMH8H/O4JHUSSJgoDm/xjBoyiCQFGkIJAY9ZdF8Mi/OJak/fu1erV6eyUpCLIHMV15pg8A+N+kK/kLF7Rli/bs0ZdfanRUzz+v+nrFsUJG2jR8O5Bz6Xl7uazNm3XPPYpjvfyyNm7U2JjCkLX9RYKE7wgKIB3mP/yg557LVvV33qkPPtD8+cz5qfhGoBDCUFGkefP0zjt6/XVJuv56zZ6tKMpewGCTxIRHoVSH+cCAmpvV0jJtvDPqmfAolPSkPUm0erVaWpQkCkMNDmrjRo2PZ6sA7wnHhEcRVf9VVyq6+24NDam9XW+9pTVrVKkoDG1HvemXjYJLt9+kW3E2btScORoa0sMPq7dX5bLke0rPhIeBbdv0zDMaHVUY6qmn9MormjUru4FvhuBRaEmiKFK5rEOHtHmzdu6UpAce0JtvXnxJzwPBw0AUqVTSuXN6+mlt3aok0YMPatu2bPttEPiMerbWwkCppCRRfb16e3Xrrdq6Vd3dkpQkKpUkozt2THg4Sc/bx8bU2ppF/uOPqqvT1Vdnq4Cis/ipBmTSd9Gltadvuenu1iOP6PhxlUq1bXnFxYSHnzjOFvOffKKHHpKktjZt2aL77st+EBT3lJ4JDz/pxps4VleXenpUX6+DB7Vhg959V2FY7PfSM+Fhb8cOPf64vvlGkp59Vi+8oIaGmT6mfwoTHt6SROvWaft23XuvJL36qh59VPv3Z08VDsHDW7r99rbb9OGH2rRJkj7+WMPDkrL34RQLS3rg9505caw33tDEhF56adp1uwJtwiV4QNKUvTfpB+nvO3eqs1ONjYXZmVOErwH4G1T/A7wwzN5C+/77Wr9eGzbo5MnCvJee4IHfVf9P+/SD4WGdPatPP9X99+uzz7I1f87v2BE8MF0QZNP+xRfV06OGBh05ovXr9fbbKpXyfpeec3jgMtJRv2OHNm3SsWMKAj3xhF57TbNn5/cyHsEDl1F9L/3Ro3rySW3fLklr1+q993TDDTltniU9cBlBoHJZUaSFC/XRR+ruVqmkyUnNnZs9m0NMeODPVO/J9fRo3TotWpTT8S6CB/6q3EY+FUt64K8JAlUqeb8Vz4QHjDDhASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgpz/QB5EaSZL8HgYJgpo8GuCIE/0eSREmiOJakcllSlnr6SMjyCHkTJOnkwhRxnP0ql2tVx7EmJvTddzpyRDt2aNUqPfbYTB4kcAWY8Jl0ksexgmBa52NjGh3V0aPau1eDgxoczB4/cYLgkT/uE756Zj51fX7ihPbt0969GhnR4cM6fFi//JI9VSqpXNb586qr08SErrlmBo4ZuGJGE/6SV93SD4JAp09r1y4NDGjfPo2P6/RpnT1b+7OlkqJIkqJIUaTGRq1Zo8lJgkfOFDz49KpbmnqpJKmW+m+/6cwZDQyov199fTp1SufO1Sb5RUolNTVpxQp1dWntWs2fr4YG1dX9K18D8PcpYPDVS+txrFmzamv1KNKZM/r+ew0Pq69P/f06cECXO6EJQ82bp2uv1aJF6urSmjW66y5dddW/9kUA/4jinMNfdNWtamxMX3+tY8c0OKg9e7RvX+2p9GWVSu2R5ma1tmrBAnV2avlyLV067VNV/6IUd+ORO7kPvrpoT1fsqbExHTigoSGNjOirr3TwoC5cyJ5Kr8CfP1978Y03qq1N7e1askS3364lS1RfX/vkUaQwZLMNCiJ/wafH+9/5jY9r927t3q2hIZ06pZMn9fPPtWfLZUVRbThfd51WrtSKFbrjDrW0qLlZjY21F6c/HcIwSx0ojPwFXxVFmphQf7/6+7Vrl779Vj/9pMnJS784DNXUpFWr1NWl1at1882aO1dz5kz7bHFM5Ci4PAWfJKpUNDqq/fvV16fPP9fIyLQz8KnCUI2NampSW1t2ab29XbNnX/wJq5tkiRwOchN8On6PH9eSJfr11+zB9Lw9vUOeam5Wc7MWLNCyZVq5UkuXXmLHO1fdYCs3t+XSOBsbtXy5vvhClYriOEv9ppu0eLEWL1Z7uzo61NFRu0OeXnVLL7ldtNkGMJSn4JNEjY3q6FBfn5qb1dmpZcvU3q5bblFr67RNbxcuKAiyhfrUq/eAudws6asOHdKpU1q4UPPmqaGh9nilkm2J54QcuJz8BT/V1BU7704H/lQug+eqG3BlcnMOPxWdA1eGdTBghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5D/n1LAjVpMIkQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.728646940225674, 5.744744280844894, 42.57397068767872])", "action": "('move', [5.728646940225674, 5.744744280844894, 42.57397068767872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.728646940225674, 5.744744280844894, 42.57397068767872])", "action": "('move', [5.728646940225674, 5.744744280844894, 42.57397068767872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIl0lEQVR4nO3c36tlZR3H8e9ae+9zxmwUzSxOTAzjpX+GKYo5OaMzgV2ITCakjicH+gGDdiGJpKNWOmoOhdFI2mj+ZDAxA2vEIUMilMzJHPCuQLxx5uy9Vhf7qCFKRj/GvT+v1905nIvFgfd6nrWe51lN3/cFZGiP9QUA/z+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyDDY30B8F8wHlfXVVUNh9UaxT5Y0/f9sb4G+I/0fTXNB/7IP3MzZOY1Te3ZUxs31oUXdL9/vm+a6qsMZO/LCM8Mmw7m+/fXOees/uITJ/e772i3bKmq6jrT+/fy/2DmHXdcrVtXVf3iYvO3v7dbt9a3r+3feqvatsbjY31xHzFGeGbbdJA/dKi/7NLuyacGw1FNxtX3/Re39LtubpY+04zHNfRu+m1GeGZb09RkUhs2NA/8YrB9e41X+qap0aj52f3Npk39wYM1HNZkcqyv8iND8My8waAmk1q7tm69te68oxZHk5WVWlhonjvYbt5ce/fWYFDlNV5VmdIzN7qumqqmrV//qrvkkvrLX9vhsMbjWrOmduyo665b/Zvw13iCZ370ffV9tW29+mpddlk98cTqfL7v+y0XTG7fPTzlkzUe12CQu1CffbtjvjRNtW11Xa1fXw89VFddVd2kr6rRqLl/3+Dss7vnnnvnFnCsr/UYETzzpm2r72vNmrrllrrtB/0Ja7uVlRqNmt89327c2P/0J91wuDoXCGRKz3zq++q6GgzqqSf7K66sF19qpo/0w0H/ja93131nUJGbcAXPPFtZqdGoDh2qK6/sH3+8Hwzb6msy6S68oG67vT311Oq6apqg7E3pmWejUY3HtWFD7dvXLG/v+0k3mdTCQvvzfe1ZZ9XBg6vz/5xRT/DMueGwuq7WrKmbbx18/3t10kn90aO1sFAvvFBnnln33lttW02zerp27gme+Tdde+/7+uoV7f331emn19GjNRrVG2/URRfVtW9vvE/YkOcZniCTSQ0G9cortbxcjz66ugNvMum2bm1vvLHWrVv9gzlmhCfIYFDjcZ12Wu3dW8vLNZnU9JH+vvvq8+d2z/62Hwzm/JHeCE+c6TDe93X33f2OHc2bb9biQh05Wieundy+u7noS23N7yZcwZPonRX4Z56pbZdM/vTndjRqVlaqqtu5s/3WN+tjx9dcnqsVPLmm2R9+rf/Kl7v9v2wHg2a6XWfzpv6mXc369XPY/DzOWuDDma7Grftss+/BwdeW+8mkuq5Go3rgweb88+vAgdUlvXkaEwVPtOlq3HHH166b2z176oSPdysrq6v0mzfXPfesrtLPTfOm9PDuBtsDB+rii+vll2s0qmn5y8v99dc300N4c/AaT/BQ9fb3cJqmXn+9tm2r/ftXT9pW1XnnTn54d/upTzdzcJZ+9m9Z8N8wHeH7rpaW6uGH6+qrq237amo0qkcea8/8XHfg2Xk4Sy94eFfTVtfVcFg33VR33VknnziZnqX/wx8HX9jY//hH/ayfpTelh/d65yz9b57pLr20f/GlwXBQ40kNh7W8vbvhu+3sPswLHt7fZFyDYR1+rb/88nrk0WYaedf1553b33FXu7Q0k9/PEDx8oOnGmyNH6ppr+l27+vG4XViso0fqjDPqscdqYaGqZqz5mZ2awP/edOPN4mLdcENz5+465ZTu6JEajWrbtlpcXF3Mmy1GePjXpudtnn66duyoTZtq586ZnM+X4OFDmk7vDx+upaWqmtVj84KHD2sOPo8hePg3zPpXbgUPQbylhyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/AJCWEap3L3HFAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3dcf90e3d9144f23a169bdb95e63678250a4b9c93078585364864a7b08dcf305"} +{"episode": 85605, "episode_seed": 3111510423, "split": "train", "timestamp": "2025-09-16T00:20:18.502690", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3111510423, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9603269515232022, 0.450178513050527, -8.86629619525464])", "action": "('move', [2.9603269515232022, 0.450178513050527, -8.86629619525464])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIqklEQVR4nO3dy4+d8wPH8c902lIqP0TcQ2mV0tBohEikWCDChoiVP4ClxEZYW4iFnQ22EhKJVFiIWBRdEFoVlVIqmpK61CUu0zk9v8U5v+lFmd8lP9PTz+uVWUyfOXPyJHPe5/t9nuf7nE4Nh8MAHRYt9A4Afx/BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5HFC70D/FeGw/E3U1MLuh9MGMFPmsEg09MHOx8MkmRqKotM1pif4CfEgQNZtCi7duWRR3L22bnzzqxYkbPPztKl4wcMh0Z75jU1nJscciwbDewvvpi77hpvufjibNiQ66/P5ZdnzZqcdtp4+3CYwSCLFhnz+SPBT4jRn+nDD/PMM3nvvWzenN9+G//o1FNzzTV59NHccMNh4/yBA0kyNWXkZ47gJ9BXX2XnzmzdmjfeyOuvZ+/eJHn77Vx3XZJ8801efjlr12b9+oXdTY5Bgp8oBw5kOMz09Pifv/yS777L1q155508/PB4Gv/887nvvixblosvzk035fbbc+21OfnkozyVwb+P4CfQKPs/npnfvz9LluTJJ/PYY9m7dzylT3LWWbn55txxR267LaeffnDaPxxmdnb8NqH8DoKfZH92NX737rz2Wt54I9u25ZNPsm/fePurr+bWWzMYZDDI7t256KKDz7N/f6anlX/cE/xxZ3QBb+THH7N5c959N5s3Z2YmL76YE07I1FTeeisPPJBrrsnVV2f9+qxff/AwweW945rgj0ejK3PDYZYsGW/59dd8/XVWrBhf3rv//jz11PhH552Xyy7LunXZsCE33phTTjms+dHLw1vA8ULwx7UDB8Zfo/U5cyV//HFeeSWvvJJNm/LLL+MHL1uWSy/N00/n6qvH7wtHPFXi2v6kE3yH4TDD4VFO8n37bTZtysaN2bQpX3yRyy/Pxo05//wk2b49zz6be+/NhRfmH//IYosyjweCr3TUA/WNG7NoUW6/fTyNf+ihPPFEkqxalVtuyYYNueqqrF5tej/RBF9vNPgfcU1+MMiTT+a55/L++9m/f7zx7rvzwguZnT3s7h0minlavbnURzfejQ7dp6fz4IO5555s25YPPshbb+XNN7NmTeI0/mQzwvMnDg37hx+ye3fOPDNnnCH4iSZ4/sRoqj9agXvEGXsmluD5Nxz1OJ8JNNnBj16Ho+tNXoowr8k7aTf3BqVz+E8doyP8oVX/xUTy55+zdWt27szNN+fcc51OgnkcKyP83OR8FO3cSaJDP75lZiY//ZRt27JlS7ZsyfvvZ8+e/P57fv01L72Uc8/NYGA9GPyVBe5jMBjf3L148ZHrPn/6KT/+mH378tln48K3bMmOHTliRrJ0aWZmsmNHbrnFQm+YxwIHPz19cDDfuzd79mTPnnz5ZbZvz0cfZfv2fPrpYY9fvDhTUweXfiWZmcmyZfn++8SdHTCfhQx+OMzmzdmxIzt3ZteufPZZPv88u3Yd9pjFizM9ndnZ8TKw2dkkWbYsK1dm5cqsWpUVK3LBBbnySgfwML+FPGm3f39WrcqXXx78LKZkfAA/uqdzzoknZu3arFmTtWuzenXOOSdnnpmzzspJJ/39ew0TbCGDn5nJCSccuXH0SW3Ll+eKK3LVVeOvc87J8uU55ZSD/+3CyOgUwOhXzOdhXgt8DL9kSZYsyfLlOfnkXHJJ1q3LlVdm3bqsXJmlS4/S8GitZ/51x8ehpwCAeS3kCD8Y5PHHs3r1eKL+Zw7dQUfp8L84VhbezN2mMUpa2PD/sMDBz86OI3cEDn+DY2WEB/4GBlYoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8k/8eOhgdn9Y7gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9603269515232022, 0.450178513050527, -8.86629619525464])", "action": "('move', [2.9603269515232022, 0.450178513050527, -8.86629619525464])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9603269515232022, 0.450178513050527, -8.86629619525464])", "action": "('move', [2.9603269515232022, 0.450178513050527, -8.86629619525464])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "35eada527b37d5938133566da825d27d113aee911d1acb2483be78e2d6e31895"} +{"episode": 85606, "episode_seed": 1241322413, "split": "train", "timestamp": "2025-09-16T00:20:19.101691", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1241322413, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2502632596829388, -2.6170927802641994, 38.62547520726624])", "action": "('move', [-1.2502632596829388, -2.6170927802641994, 38.62547520726624])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALA0lEQVR4nO3db2hV9QPH8c859zpZmS3Lakn0B6U/iKi5aYpBSWo1DQsjIiSN6lEEQYFE+axHFvooIigJBpFEUTpl9Je0VaBlqemumpBlYDpaTmXec04Pzvntzn5abu7u3rvP+4UPxr134zB83++f+713QZIkAuAhrPQFABg+BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjggiSJkqTSF3He8pW+AKD29C88CCp3HQPHCA+clyRRHGepB0Hp365d6uyUpDiu7AWeF4IH/k0cq1hUFCkIFIYKAkWRurvV0aGVKzVlimbN0tq1khRFlb7W88CUHjiLOM7G81GjFIaS1NOjQ4e0e7c2bdKmTTp0KHtkGKqjQydPavRoJUm1z/AJHihJEkXRGZ0fPaofftCOHdqyRZ99pmPHskfW1en06Wyef/iwdu5UU5OiSLlcBS//vxE8kK3Mk0RhqHxekn77TV9+qY4Off+9tm3T8ePZI+vqVCwqjtXbq7o63XGHbr9dTU2aOFFS9hxRzYKkhl5SAIZI+lpauuvW34ED2rhRn3yizk4dPKiTJ7Pbc7nSEn3sWC1cqPnzNXWqbrhB48YN65VfIEZ4GEln4JJyuVLqp07pp5/04Ydqa9O+ffrzz7Nsv+VymjBBCxdq8WLNmKGGBo0end2VLgH6/8BqxgiPka//Dlzq1Cn9/rv27lVbmzZu1P79Z//Gq6/Wtddq3jzdf7+ams5Yn6fPHem+fQ0heIxY/XfgUn/9pV279OOP+uILtbfryJHs9lGjVCxmK/lcTrfcoptv1uzZuvtuTZ78z5+Zqq3O+xA8Rpp0fZ5Os1NHjuirr/Ttt9q+Xd98o66u7Pa+HThJuZxmz1Zzs5qaNHOmrr8+e0w6va+5kfxcCB4171yj7q+/avNmffqpdu9WoaCenuz2fF7FYvZ1fb3mzdP8+Zo2TZMm6aqrstvTAT+Xq4GN9wEheNSwdGXef2kdRdq7Vxs2qK1NnZ06elS9vf/8riDQ+PFasCDbgRs/XhdfXPr2OB6BnfcheNS806f1xx/q7FRbmzZs0N69Zz/levnlamzMduBmzVJ9femudAcuPTw7svGyHGpSukO+f7++/lqff67Nm0tnXfN5BUFpnj9pkiZO1Ny5WrBA06ef8UP6rwWq/ITcUCF41KQoUhiqtVWrVmW39O3Apevz5mZNn67mZs2erZtuyh6T7s/1nbcZGftwA0LwqEnp3HvuXF1xhY4dy8665vOaN0933aXbbtOtt2rChOzB6VNAGI78Gft/Yg2PWhXHiiJNnqyDB/XAA7rvPs2YocZGXXpp9oARvwM3CASPWpUeht+5U42NuuyyUtXpeZv0lXPDSfu/I3iMEOd6Pwz6I3jUtur/zImqwuIGtY3aB4TgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB5lliSVvgKUEDzKJk09CGi+ehA8yiNJFASStGePgkBRVOkLgkTwKIskURyrq0svvaSZM7V+vXI5FYuVviwQPMohSRSGOnFC77+v7m499ZQ+/lj5vOK40lfmjuBRBmGoJNGECWpt1XXXqatLy5ZpyxaFIXP7yiJ4lEcYKo41ZYpaW3XllTp8WCtW6LvvlMvRfAURPMomHc/nzNHbb+uSS1Qo6Ikn9PPPyuWY21dKkPCSCcoq3a5fv14rVuj4cTU3a9MmjRtX2sbHMGKER/nFsZYu1erVqqtTQ4N6e3llvlIY4VF+SZLt23/0kebMYXivIILHcOmLPP2ip0dJojFjiH84MaXHMIoixbGCQDt2aNo0vfCC9L/xH8MiX+kLgI0gUC6Xff3mmyoUVCho3DitWqViUXn+Kw4HpvQYXun/t+5uPfKI2tokac0aPfOMoqj0dICyIXgMuzhWGOrIES1Zoq1bNWqUXn9dy5ezmB8GBI9KSMfzw4e1aJG2bdOYMVq3Tg8+yDhfbgSPCknX7YWCFi/Wnj1qaFBrq+65R1HEer582KVHhaRvnps0Se+8o2uuUW+vjh/P7mIQKhtGeFRUum7fulVdXWppyc7Yp2+2Yz1fBgSPSutrO93Mk9TdrbFjK3tRIxVTelRa+gFYxWI2sD//vBYt0tGjEnP7occIj+qQ7uG1t6ulRadP6957tX69LrqoNOxjKPCrRHXI5xVFuvNOvfiigkBtbVq+XL29CgLePD+EGOFRfZ57TqtXS9Ljj+u117IzuezhDQWCRzXpeyPtk0/qjTck6dln9corpY+4x4UheFSZ9COue3v12GN6911JWrlSL79c6csaIVjDo8oEgYJA9fV66y0tWiRJv/yS3cXgdMEY4VGV0kP1hw7pgw/06KNqaGC7fkgQPKrV/x+26+lRfb0kyh80fnGoVn3H79IxqaNDy5apvT37xHsGqkFhhEd1S8f5Eye0ZIna23XjjXrvPU2dymH7wWGER3VLD97U1enpp9XYqAMH9NBDKhT4K9SDQ/CoemGoMFRLi9au1dixKhT08MPav5/mB4HgUQvCUMWili7VmjXK57V9u9atk8SfqRso1vCoHem6/dVXtW+f1qxRXV2lL6j2EDxqSv8PvWPfbuAIHrUmirLTeNQ+cASPGsTYPlhs2qEGUftgETxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI38Div/19dM3CDAAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2502632596829388, -2.6170927802641994, 38.62547520726624])", "action": "('move', [-1.2502632596829388, -2.6170927802641994, 38.62547520726624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2502632596829388, -2.6170927802641994, 38.62547520726624])", "action": "('move', [-1.2502632596829388, -2.6170927802641994, 38.62547520726624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIz0lEQVR4nO3dTYydVR3H8f/z3DudalQISIHUlITGNF1QgYWBUMUNICEawSCBSA3hLRGivIWVSghxJQgoYKOB1qbGvhDAdCGWsBSNoRKDO2NAFySAEBYQpp37PI+LS8Bty8zcqb/PZzWZ1cnkfu85c8557m2GYSggQzvrAQArR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAsl2Govq9hmPU4+B/jWQ+A/0/DUE1TTfPRz6wGZniWXt9X09Srr9ZFF9Uzz1TTVNfNekxUlRmeJTedz196qW68sQ4dqpf+2p/y2eaCrU3X1Wg068HFM8OzxJqmhqF2765Dh2rNmnrr7faqbw0v/20Yjczzs9cMNlVYUtMX1Ntv1zVXDwefq/G4mUzq8xv73x1oNm82z8+YGZ4lNp3hTz65du+uC87vJpNhbq7+8c9227XDK6+Y52dM8Cy9tq2uq1PWNXv3jb+wpV9cHNaurRcPtTffWG+8UZqfIcGzLKZVr/9c7d032nhmv7BQa9bUc883t9xS771Xo1H1/ayHGEnwLJdp1Zs21b79o9NO648cqfG4nnyybr21jhz5YOXPChM8y6htaxjq3HNrz572tNNqMqnxuHbuHO6+u6rcw5sBwbO8prduLrywfvFYnXji0Pc1P988/HDde2+NRjUMml9RgmfZtW0tLtY3Lq/772/m5urIkVqzpu67r3/wp/10CaD5FeMcnpUwDNV1NR7XAw/UXXdV205/2f1ye3PDTe10qc8KMMOzEpqmxuMahrrzzrrnnur7oW1rGEY33zzs/W0/HtdkMushZjDDs6KmN+1v/1730M+b8bidTOrTn+z3P9lccmnT9x/M/CwfwbOiPnxI/qbrux27mtGo7bo65eT+qaebrV9y8XbZeUdlRU0fkm/benT76Morhq4b5tbUm2+1115bL744jEbW9svLDM8MTFfv771XV36z+/0f2rVrm4WF2nLWsG9/s2lT2cNbPoJnNqar9zf/U5d/vf/jn5pp81u31p49tX59+X9+mQiemZlu4P3r3/W1y4aX/95M9+ovvrj27qsTT/DBWMvCuygz0zQ1VJ2xofbu+2glf/BgXX9d//77VeVCztITPLPUVHVdbd5cO3fWhg01mdT8fD31dN3y3b7KAzZLT/DM2GhUi4t13nm1fXuddFIdPlzz8+2Onc0dt3VVVS7eLinBM3tzczWZ1KWX1mOPDJ+YHw4frvG4eehnzY9+0DVt9Z3ml4zgWRXG4+q6uurq5pFHa240DEM1TXvfj5sHftKNXLxdOnbpWUWmp3EPPtDfcVeNRu0wVPX99u11482tg7ol4U/IKtK2NZnU7Xe29/xw6Lq+mhra9vu3Nfv3DtPPyeNjMsOz6nRdtW3deXv/4MPD3NxocbFOPGHY/Zvmsstcwvu4BM+q8+Hq/aYbul893s6vbQ4v1Pr1tWdPbd1ai4s1NzfrIR63BM9qNG1+YaG2bav9+2vt2lpYqE2bat++2rKlPFR3zATPKjW9WvvOO3XVVXXwYM3N1eJinXPO8MzTzYYzXLw9RoJn9ZpW/frrdcUV9cIL0+aH875YvzvQrFun+WNhl57Vq2mq7+vUU2vXrjr77GFxsebnmz//pb59Tf/uuy7eHgvBs6pND+o2bqwnnqiNZw6HD9f82ua555vrtnVdr/mjJnhWu+ljs+ec0zzx+LBuXX94oebmmiefHn1n2/DWWz7l+ugInuPA9OLtl7/S7vp1feZTfddXVT37bPPaa9W2vqbuKAie48P0m+ou+Wq7Y0fTd7VhQx04UGedVcPgiO4o2KXneNJNajSup56q00+v8893IH/UBM9x5sN7eGo/BoLn+DN9zTqEPwYeROD4I/VjZtMOgggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwXdC0f6gn96NoAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a574ed1f4c0acc5c86a76e59531451aff1aaa212adf6407b63da5f3882da0980"} +{"episode": 85607, "episode_seed": 2675405040, "split": "train", "timestamp": "2025-09-16T00:20:19.700190", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2675405040, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [30.60024015336614, 22.191271365260025, -46.456983609502494])", "action": "('move', [30.60024015336614, 22.191271365260025, -46.456983609502494])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [30.60024015336614, 22.191271365260025, -46.456983609502494])", "action": "('move', [30.60024015336614, 22.191271365260025, -46.456983609502494])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [30.60024015336614, 22.191271365260025, -46.456983609502494])", "action": "('move', [30.60024015336614, 22.191271365260025, -46.456983609502494])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2a16b7de9bdb92a4fbbc8c22609804f708fd70ba6500646fca35a908277c2a98"} +{"episode": 85608, "episode_seed": 1482767375, "split": "train", "timestamp": "2025-09-16T00:20:20.297620", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1482767375, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.323814763364925, 2.8468100955495115, 7.36124410347053])", "action": "('move', [-2.323814763364925, 2.8468100955495115, 7.36124410347053])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.323814763364925, 2.8468100955495115, 7.36124410347053])", "action": "('move', [-2.323814763364925, 2.8468100955495115, 7.36124410347053])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.323814763364925, 2.8468100955495115, 7.36124410347053])", "action": "('move', [-2.323814763364925, 2.8468100955495115, 7.36124410347053])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3df2hV9R/H8dfd7tx0YCtNM7Df/iH2A/wjQydhEWoQK2WEWFlbEIL91JGrCEyMBnONCqQFgWNQzM0VQmIpJZn6h9IvyQzCWf0zf5BZTrede09/3OO9V/vm129f895zX8/HX7IfcPbH08857/O55yTCMBQAD2WFPgAAlw7BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wIhf8EGgVKrQBwEURrLQB3AJhaFSKSWT0b8TiUIfEHCp2azwmcKTSX34oT7+WImEwrDQxwRcagbBZ8JOJHT6tF54QQ8/rMZGHTggSel0YQ8NuMRK/ZQ+lVJ5uSR9/rmefVZ790pSTY2OH2eRh6FSX+HLy3XkiF56SXPnau9ejR6thgbt2aMZM5ROq6zU/3zgbKW7woeh0mlt2aLVq7V7tyTddpuam/Xgg9F3qR1+SjH4dFqJRHTG3tmp3btVWanHH9fzz2vyZKVSKitjRA9PpRV8ZhSfWbrDUMmkVq7U0JAefVR1dZIUBNFtOcBSIiyNwVX2gvzYMb32murqVFsbLeaDg6qujs7wMwM8wFX8l7vsdpp0Wps3a+VK7dunffvU0xN1Xl0dneRTO+zFPPjMup1Mqr9fbW16801JGjtWU6dqZCT3M8znAEnxPqXPbo/t7taaNfrmG0mqrVVzs+6996wfACAprit89j+pgQE995y6uxUEqqxUU5OWLdPEiQoClZdTO3COuAWf3SebXb137VIQaOZMtbSotlZiFA/8rVid0mf3yQ4Pa9SoaDL/0Ufavl2rVqmqSmHIFTtwHvEJfmREFRUKAq1fr08/1auv6pprzrpK54od+G/icOqbWbcrKrR/v1pa1NmpMNT11+uVV6LvStHWOgDnVfTBZ9btRELvvKPWVv3wgyTNn6958ygc+F8Vd/CZq/SDB9XUpL4+pdMaO1Yvv6zGRtXUFPrggPgpyuAzz6XI7IrftElLlujXXyXprrvU3q5bbpHyBngALljxDbQzG+DLyqLsJ0zQyZMaP14tLdq6Nao9DKkd+AeKbEqfGcWfOKHhYY0fH32xp0dXXqk778zN5wD8I0UTfDbmL79UU5Ouvlrr1mnMmNx9dc7hgf9b0QSf0dqqN97Qzz9L0ubNmjdP6TSfdQMuliIY2mVG8d9+q+XL9cknknTVVVq1SrW10fLOzjngIin0Cp99LsWCBerrUyKh++7T2rW66aZCHhVQogq9wmcncC++qIEB1dfrmWck9skC/4pCr/D5jh3TuHG5R1ACuNiKJvjMlXysRvHcJUTsFE3wUozeDMETMRFTxRRYHGoPQ42MRHcJT53Sjh367juJt9QhJmLQWPEIguhzuqdPa8sWLVmi2bPV3q5UirfUIR6K6ZS+iKXT0f79MFR3t7q7tXGjJFVWqqZGvb2aNSte8weYKvRtueKWHctlrja6utTZqW3bokdjSxoa0sCAfvxRs2YxvUMMEPx/lrkmz760qqdHa9fqq680NBR9MQiUSGjxYj35pKZN41F6iAeCP1dm835mAT9xQtu2afVqff117h5COq3LLtPcuWpu1q230jnihGv4nDBUEKiiQpIOH9bWrXr9de3ZI0nJpIJAkiZN0pw5Wr5c06fnfkvcjUdMEHwkO3I7elS9verq0o4dklRREb20auJE1dWpoUEzZkhiQyBiieBz2/Z//10dHdq4UTt3StKoUQqC6Dl6TzyhhQuj1IOAj/AhrnyDz9/Xd/Kk1q3Tu+9q/34p7wS+ulpPP61Fi3TzzZKUSkni3htizDH4VCp3p+3oUXV1qb1dhw5JUnl5VPUVV6ihQU89pcmTpTN7acvKOIdHvHkFn04rlYrGcv396utTW5t++UXKW9VvuEF1dWpq0qRJud/ich2lwSX4/An899/rgw/U0aGDB6W8sdzUqbr/fi1dmlvVxfgdpcUi+OxY7sABrV+v3t7oBTajRml4WJKmTFFDgxYu1JQpknjZNEpWyQZ/zotkDx1SW5s2bYpW9ewJ/LXXasUKzZ+vG2+UpOFhJZNM4FGySjD4cz6s3t+v1lZt2KDDhyXl3nBx3XVavlyLFmncOOnMVlkm8ChtpRZ8frf796ujQx0dGhyU8ibw06apoUFLl2r0aOkv5wJACSud4PMn8Lt2acMGvf22BgeVSCiZjMZyd9yh+vpc6uJhmTBTCsHnn8Nv36733tP77+u3385KffZsPfSQ6ut1+eVSnJ6mBVxMpRB8xs6deustbd2qI0ekvJttM2dq2TLdfbcmTJCkkRElk6zqMBXv4DPHvnev1qzRZ5/p+HEpbyx3++1auVJz5kTvkh8ZUXk5CzusxTj4zIGfOqVHHlFvr8rLowdRVVVp+nStWKG6utwn2BWPZ2QC/64YR5BIKAg0ZowWL1ZVlVIpVVXpnnu0fr2++EIPPKCystwEntoBxXqF15k7aqdP67HH9McfamzUggUSu9+BvxHv4HXmvtpPP2ncOFVX5x4vC+CvYh+88u6lswceOL9SCF6cwwMXpkSCB3AhGF4DRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJE/AbU5BpwXkk9RAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "24672b702656662928c214804fc449d99765f827c10ace19b08fc89ba9643b56"} +{"episode": 85609, "episode_seed": 3070034500, "split": "train", "timestamp": "2025-09-16T00:20:21.224790", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3070034500, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7729964431194367, -0.9500876516989055, 35.98973541311924])", "action": "('move', [3.7729964431194367, -0.9500876516989055, 35.98973541311924])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7729964431194367, -0.9500876516989055, 35.98973541311924])", "action": "('move', [3.7729964431194367, -0.9500876516989055, 35.98973541311924])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7729964431194367, -0.9500876516989055, 35.98973541311924])", "action": "('move', [3.7729964431194367, -0.9500876516989055, 35.98973541311924])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c669d65dc22485ad4e6e7db82ae095e4cd800f4dea7ae5916b048bc1b230a4ad"} +{"episode": 85610, "episode_seed": 1947151543, "split": "train", "timestamp": "2025-09-16T00:20:21.820704", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1947151543, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.253598246915574, 4.851698961923481, -24.28246690056426])", "action": "('move', [13.253598246915574, 4.851698961923481, -24.28246690056426])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.253598246915574, 4.851698961923481, -24.28246690056426])", "action": "('move', [13.253598246915574, 4.851698961923481, -24.28246690056426])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.253598246915574, 4.851698961923481, -24.28246690056426])", "action": "('move', [13.253598246915574, 4.851698961923481, -24.28246690056426])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2377964abafb342379d2dff1ef5ded4667318cc363180f743208df2b273868f4"} +{"episode": 85611, "episode_seed": 2547142966, "split": "train", "timestamp": "2025-09-16T00:20:22.418524", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2547142966, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.243321340023734, -3.92901961045786, 39.33156981960688])", "action": "('move', [-5.243321340023734, -3.92901961045786, 39.33156981960688])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKfUlEQVR4nO3d3Ytcdx3H8c+Z2eya5mEj2bTWmwgpWqwEghdavJAiFh+gbgiCxmoDghEEr8VL/wC9sSCiBFSoT0RQrGgp6kUJggTaxkokKAZDyaOmMbRxd+Z4cY7bGmsquPPQfF8vlmV2dmfmhOyb3zm/+Z2zTdu2AWoYzHoDgOkRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieJix0ShtO6XXatqpvRTw343HGUx+/DXCwyytr+fUqayvZzCYxjgveJiNLu+LF3PwYB58MCdOJMloNNkXFTzMRtMkyfHjOXMmv/xlnn46TZPxeLIvujDZpwf+u/E4X/1qFhbSNFlcnMYrGuFhBsbjtG1+/OOcPp0ka2v9gD9pgofZaJp87Wtp24xGWVnJffclmfhEveBh2kajDAY5eTK/+U2aJm2bD34wBw7090+U4GHaupm5b34zV6+mbbN9e1ZXs2VLxuOJ79gLHqZqPM7CQs6cyZNP9u/MveMd+chHMhplYfJz6IKHqeqG8Z/+NKdPZzDIYJDDhzMcpm2nMW8neJiebnj/299y/Hj/5ZvfnMOH07YZDqexAYKH6en24Z96KidO9IUfOpTdu6c0vEfwMDXdMH7jRr73vaytJclwmM99Lm07jdNmOoKH6Wnb/OlPeeyxLCxkNMrBg7nnnimN7R3Bw5Q0TZom3/pW1tfTNBkMcvRo/z789LbB+fAwNVev5m1vy4ULSXL//Xn88SwvT+8APkZ4mI5usc13v5vz5/tT3z/5ySwvT2OxzSsJHiZuYwz/+tf7c2D37cv73td/a5oEDxPXDeOPP57f/74/aH/ooezbl/X1Kb39vkHwMHFtm7bNsWN58cW0bVZWcujQ9N6KeyXBw2SNRhkOc/JknnoqSdo273533vOeKS2ev4kr3sDENU2OH8/zz/dXtnn44WTqR+8dIzxM0Hic4TDnzuUnP+mP3u+5Jw891C+qnz7BwwR1w/iTT+bUqX5+7lOfytatM9sewcOkdIvnr13Ld76Tts14nJ078+lPT3Xx/E0ED5PSTc4/80yeeCILCxmPc+RIdu+e6kqbmwgeJmUwSNPkG99IkrbN4mKOHOlvz2yTZvbKcFvrqj57Nj/4QYbDjEb5wAf6S9Ma4eH2dOxYrl/vCz9yJIuLE//bMrcmeJiUl17KsWNpmqyv513vyv33z3JnviN42HzdGe/f/nbOnetPg19dzZveNI0rz9+alXaw+Zom//hHHnss6+tJ8pa3ZHW1v3+2jPCwybpz4H796/z2t33hDzyQe+/tF9XPlhEeNtPGqe/f/36uXUuSnTvziU/M/ui9I3jYTN3i+VOn8sQTffn79+eBB/r7Z84uPWyyts3Pf54//7m/lNVnP9uvwJkHLmIJm2Y8zmCQ8+fz/vfn2WeTZO/enD6dpaVZb9m/GOFh03TD+IkTefbZ/uzXo0eztDQvB/ARPGyipsna2stXqtyxIx/72BzVHsHDZunOjfvd7/KLX2Q4zHicj388e/f2C2/mhOBh0zRNHn00o1GSbNmShx/OYDDjxfM3ETxsjqbJ5cv54Q/7xfMPPpj9+6f6V2X+F4KHTdCN6l/5Sq5fz2CQ4TAHD2Z5OaOR4OE2dfZs1tYyGuXtb8+HPpRkxqfK/Cfvw8OmuXw5zzyTL385Bw7kS1/K+vpsLk17C4KHTdadITccztfOfEfwsGm6mOaw8w1ztsMBr2fznHpnzqYUgEkSPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyELs94A5kbbvvy5adI0s90cJkHwlWzEvPHl+np/YzDoP3R+W2va7peA20zbZjx+edDubgyHGQ5v9agbN3L9el54Ibt2ZdeuKWwmUyb416dX7n5v3NM0GbzWpMyLL2Zxsc/+4sX87Gf5619z9Wr/+erVvPBCrlzJ5z+fRx7pn5PbiF36uXTTvvd/6r51ix/44x/z9NO5ciWXLuXSpVy8mCtX8ve/ZzzOo4/mvvv6n/nMZ3Ljxqs8/OTJPPLI//VPYC4Jfi7delx9/vmcO5cLF17+uHw5f/hD3vrWHDuW0SjDYX70o3zhC/0h+k3On++D37Yte/bk+vXs3Zs9e3Lnnf3Hykre+c7X3gxehwQ/l557LmfP5uLFXLiQS5fyl7/k0KGsrmY8zmCQw4fzq1+9yqPOn89LL2VpKUn27MmOHXnDG7K0lK1bc+edufvu3HVXlpezb1+StG3uvTenT2dxsT8WkHcBgp8za2vZsiUf/Wiee+7f7t+6NaurGY0yGGTXruzYkZWVLC1l27Zs25bt23PHHTlwIONx3+2HP5wDB3LXXVlZefUD+6bJwkIW/ALU4v97znS57t+fa9eyZ0927szycpaX8973Jukn2774xRw9mrvvzvJy3vjGLC+/yvPs3p3du5OkbTMa/duTv+bEHrcvs/RzppsYP3Mm165l165s355t23LHHbd6yHic0ah/L31jxO7einvNuT2KEfzrQVfvxsjc5b2xGM6qOP5ngp9L3ZqZV47PkmYzCB4KMX8DhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+CVIJWnVhUYv+AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.243321340023734, -3.92901961045786, 39.33156981960688])", "action": "('move', [-5.243321340023734, -3.92901961045786, 39.33156981960688])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.243321340023734, -3.92901961045786, 39.33156981960688])", "action": "('move', [-5.243321340023734, -3.92901961045786, 39.33156981960688])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGjUlEQVR4nO3aXW4TVxyH4f+MYxAkUZwoJlSVuGQbLIC1sChuuggWwgpalQSIHYhTEeOZXtgN4Su0FTRufs+jyejkwuOxrFdzzkmavu8LyNBe9w0A/x3BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDB8wV9X31/3TfBD7Bx3TfANVjGfJH05V+bptq2muaa7owfTPA300XDnw+WSQ8G36h6Pq/BoFpTwJtF8P9jX+x5OWjb2ti4Kumuq9PTS8eb7vRt//asnU6b4+N68aK6rp48qYcPq+tkf3MIft19MvGuvz33ns9rMqnptCaTmkxqOuknrxfHk/bkbXtyUicnNZnUcjCd9ifH/R/nH718OKzHjwV/0wh+3V0k/Xnbs1m9erU6Xr6sly8/jE9Pazar2azOzursrGazOpvV+fxr4TZVg7b9EPZiUU1Tr1//kE/ENRL82llOy7uuuq6m0zo8rKOjOjxcDY6O+sPfFkdHdfxmYz6v8/O6fO66Ky7cVF21al++advWxqC7t9//9PNga+t7fzauW9P788t6WG6n/fJLPX1ap28Wv//aHR0P3p23fV99V31f/+p76quqaZrhsG7dqsvn7e06OOgPxv29++3BQY3Hdf9+jcd1cFD7+7WxsVov2K6/YTzh10XX1WBQz5/Xs2c1HA7m7wftX6v0vq1+8dXXVfWDtr272Wxu1uZm3b17ce73d97v32vGB+3+uB2Pa39/dYxGy9d+45nPzSP4dbEMfne3qmo+r6rq+uUUva/qhoNmtNfu7NRoVMvzcrCzXbujfnevH+01e3s1GtXubo1GdedOVTVVw6+918XO39IVOwXcJIJfF8vSHj6sR4/qwYPa2Vk9jXdHzfZWbW3X1nZtbX04hquW2y/+u+RiUYvF6rLLK18e2HWPZQ2/Xt69q7OzunOnbt/+xsO262qxWK386ythwycEv76W2+aruffq56OYJc0/Jfi1c/GF6Jnvzhp+7eicH8fuDQQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5E7trKaFUOvIMAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f87a675862c832c3e2dcf28dc2b80ed4051dbe36410b45ddde670721a7e6a779"} +{"episode": 85612, "episode_seed": 3091345150, "split": "train", "timestamp": "2025-09-16T00:20:23.344520", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3091345150, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.020618614465736092, -1.1820505079060815, 43.2472331717114])", "action": "('move', [0.020618614465736092, -1.1820505079060815, 43.2472331717114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.020618614465736092, -1.1820505079060815, 43.2472331717114])", "action": "('move', [0.020618614465736092, -1.1820505079060815, 43.2472331717114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.020618614465736092, -1.1820505079060815, 43.2472331717114])", "action": "('move', [0.020618614465736092, -1.1820505079060815, 43.2472331717114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6bb2ff4a5c0b84a140f52d27c189a461efef38d48f4863fcdd15138ff8300a46"} +{"episode": 85613, "episode_seed": 2254281356, "split": "train", "timestamp": "2025-09-16T00:20:23.938235", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2254281356, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [39.309293918668196, -35.29911614990596, 32.34520204742004])", "action": "('move', [39.309293918668196, -35.29911614990596, 32.34520204742004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [39.309293918668196, -35.29911614990596, 32.34520204742004])", "action": "('move', [39.309293918668196, -35.29911614990596, 32.34520204742004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKFUlEQVR4nO3dzY9ddR3H8c+9c9saRB4sbagWTLUkVExjSSECwVW7KEKNCwICweiGbpC/w52bBkxcCCaGABEpgUxiaYwxJaV2QagxaIGUCFShFC2mTjtzj4tzIzFS+zj33Dvf12s1M5t7cpP3fM/D75zTa5omQA39rjcAGB/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieJaOpslw2PVGTLZe0zRdbwNcZE2TXq/rjZhIJjxLQTvYX3ste/YkUftpCZ6lYGEhSR57LN/6Vm6+OT//eZomdl7/l116pt7CQvr9vP567rwzb7yRJDfemP37k6TXM+3/iwnPUtDrZXY2b7yRfj8zM3noofT7juQ/heCZbsNhZmby4Yd56qnRr2vW5N57k2RmpttNm0SCZynYuzevvJJly5LkgQdy2WUO4D/doOsNgPPXNOn3c/JkHn98dN5uMMhDD6n9tEx4plvT5NChPPNMBoMsLOT++3PNNc7VnZbgmWJt2D/5yejXwSDf+15mZkz40xI80+3o0fziF+n1Mj+f22/P5s1JBH9agmdatQftTzyRDz4Y7cB/97v53OdGl+X5VL4YplJ7jX04zM9+NvrhhhuyZYvZfgaCZyq1Y/yZZ/LnPydJr5dt27JuXebnXX7/fwTPtDp1Kk8+mRMn0jRZtSr33ZfEzvwZ+HqYPvPzGQyyf39++9vR0futt2bTpiwsGO9nYOENU6ZdbJNk164cPZokK1bkBz9w9H5WBM+UaYN/6608++xovF9/fbZtS9MY72dml57p0zTZsyd/+lMGgzRNduzIYGBp3VlxPzzTpL0ad/x4tm7Nvn3p9/P5z+fQoVx+eddbNiVMeKZM02T//uzbl2XLMhxmxw61nwPBM03axfM7d44W23z2s7n77sRa2rPmpB1To6360KG88EJ6vSws5NvfzoYNXW/WVDHhmRrtAfyjj2ZuLr1e+v3ce2+WLcv8vDN2Z0vwTId2vP/973n66dF4/+Y3c8stn1yW52z4qpgO7eL5n/40R44kycxM7rorV12V+XnBnwPH8EyBdoz/85957rnMzyfJunWj03UW25wT/xuZAu0Y3707v//96HB969Zcc43xfs5MeCZdu2a2afLLX+bEiSS54op8//seO38+/Htk0g2H6fdz4EBmZ9Pvp9fLzTfnppssnj8fgmfStefkZ2fzt7+N3ifzyCOjv3OurKVnorXj/ciRfOMbefvtNE2++tW8+moGDkbPiwnPRGvH+Esv5fDhUeQPPzy6SY7zIHgmWq+XU6eyc2f6/Sws5Oqrc+edXW/TNBM8k6tpMhxm3768/HL6/QyHefDBfPGLXW/WNBM8E63fz49/nCRNk0svzXe+MzqH54zd+RE8E6q9zP7mm9m9exT5HXdk48bRaTzOj2+OCdUuod25M8ePJ8ny5dm+PZdcYrxfEBc3mETDYWZmcuRIZmczHCbJ17+eu+5K07ggd0FMeCZRe2/cr36VP/5xdOv79u257DK3vl8owTNx2jWzJ07k2WfTNGmafOELeeAB4/0iEDwTpz0t95vfZO/e0fm5LVvypS9lODTeL5TgmSztre8nT+b55/Pxx0nS7+eRRzzZ5uKwlp7J0o73gwezeXPm5pJky5b8+tddb9ZS4X8mk6XdaT95Ml/+clasSJKHH048iPoiMeGZOP95ssWLL2bXrvzoR7n8co+7uDgED4XYpWdyDYej9XZcLCY8FGLCQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETx0Z+y3rgkeutA0nTxz2+2x0J1//Sv9fpYvH9sHmvAwXu2bdA4fzj33ZPPm/O53yfj27QUPXVi+PK++mj/8IQcOjPNjBQ/j1b4Kd82arF+ffj+vvz7ODxc8jFevN3pS35o1GQ5z8GBilx6WsPYdOtddl14vhw/nxIn0euNpXvAwdm3wX/lKmiZzc3nnnbFdn3NZDsaufavG0aP5y1+yalVWrcqyZeP5ZMFD19r36Y2F4KGQQdcbAIX99a85cCBNkzvuGM9hvOChC+1u/OxsfvjDrF2bm27K6tVj2Ld3lh660M7zq67KP/6RDz7IW28l47gaL3jozsaNWbEix47lzTcTwcNS1U74tWuzcmVOnRoF395Xs5gED93p9fK1ryXJ228nGcPFOcFDp66/Pkneey9zcxkMFnvICx46tWFDkhw+nHffHcOnCR460p6iu+GGJPnoo7z//id/XDRW2kFH2hX1x45l585s2pTbbssVV4z+uGgED4XYpYdOtY+vHdfcNeFhAnz8cZJceuli79Kb8NCddtw+91yuvTa7diUZPf1q0QgeutNedb/yyhw7lpMnx/CBgoeurV6dLPpsbwkeutMerl95ZVauNOFhqWuDX7ky69dnbm4MHyh46NRwmMEg69aZ8LDUtW+hSbJu3XguxXvEFUyA1avzmc8kWewn2wkeOjUzkyS33jp6NP0i3xJvpR0U4hgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/BskCkKBB18E7gAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [39.309293918668196, -35.29911614990596, 32.34520204742004])", "action": "('move', [39.309293918668196, -35.29911614990596, 32.34520204742004])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKFUlEQVR4nO3dzY9ddR3H8c+9c9saRB4sbagWTLUkVExjSSECwVW7KEKNCwICweiGbpC/w52bBkxcCCaGABEpgUxiaYwxJaV2QagxaIGUCFShFC2mTjtzj4tzIzFS+zj33Dvf12s1M5t7cpP3fM/D75zTa5omQA39rjcAGB/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieJaOpslw2PVGTLZe0zRdbwNcZE2TXq/rjZhIJjxLQTvYX3ste/YkUftpCZ6lYGEhSR57LN/6Vm6+OT//eZomdl7/l116pt7CQvr9vP567rwzb7yRJDfemP37k6TXM+3/iwnPUtDrZXY2b7yRfj8zM3noofT7juQ/heCZbsNhZmby4Yd56qnRr2vW5N57k2RmpttNm0SCZynYuzevvJJly5LkgQdy2WUO4D/doOsNgPPXNOn3c/JkHn98dN5uMMhDD6n9tEx4plvT5NChPPNMBoMsLOT++3PNNc7VnZbgmWJt2D/5yejXwSDf+15mZkz40xI80+3o0fziF+n1Mj+f22/P5s1JBH9agmdatQftTzyRDz4Y7cB/97v53OdGl+X5VL4YplJ7jX04zM9+NvrhhhuyZYvZfgaCZyq1Y/yZZ/LnPydJr5dt27JuXebnXX7/fwTPtDp1Kk8+mRMn0jRZtSr33ZfEzvwZ+HqYPvPzGQyyf39++9vR0futt2bTpiwsGO9nYOENU6ZdbJNk164cPZokK1bkBz9w9H5WBM+UaYN/6608++xovF9/fbZtS9MY72dml57p0zTZsyd/+lMGgzRNduzIYGBp3VlxPzzTpL0ad/x4tm7Nvn3p9/P5z+fQoVx+eddbNiVMeKZM02T//uzbl2XLMhxmxw61nwPBM03axfM7d44W23z2s7n77sRa2rPmpB1To6360KG88EJ6vSws5NvfzoYNXW/WVDHhmRrtAfyjj2ZuLr1e+v3ce2+WLcv8vDN2Z0vwTId2vP/973n66dF4/+Y3c8stn1yW52z4qpgO7eL5n/40R44kycxM7rorV12V+XnBnwPH8EyBdoz/85957rnMzyfJunWj03UW25wT/xuZAu0Y3707v//96HB969Zcc43xfs5MeCZdu2a2afLLX+bEiSS54op8//seO38+/Htk0g2H6fdz4EBmZ9Pvp9fLzTfnppssnj8fgmfStefkZ2fzt7+N3ifzyCOjv3OurKVnorXj/ciRfOMbefvtNE2++tW8+moGDkbPiwnPRGvH+Esv5fDhUeQPPzy6SY7zIHgmWq+XU6eyc2f6/Sws5Oqrc+edXW/TNBM8k6tpMhxm3768/HL6/QyHefDBfPGLXW/WNBM8E63fz49/nCRNk0svzXe+MzqH54zd+RE8E6q9zP7mm9m9exT5HXdk48bRaTzOj2+OCdUuod25M8ePJ8ny5dm+PZdcYrxfEBc3mETDYWZmcuRIZmczHCbJ17+eu+5K07ggd0FMeCZRe2/cr36VP/5xdOv79u257DK3vl8owTNx2jWzJ07k2WfTNGmafOELeeAB4/0iEDwTpz0t95vfZO/e0fm5LVvypS9lODTeL5TgmSztre8nT+b55/Pxx0nS7+eRRzzZ5uKwlp7J0o73gwezeXPm5pJky5b8+tddb9ZS4X8mk6XdaT95Ml/+clasSJKHH048iPoiMeGZOP95ssWLL2bXrvzoR7n8co+7uDgED4XYpWdyDYej9XZcLCY8FGLCQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETx0Z+y3rgkeutA0nTxz2+2x0J1//Sv9fpYvH9sHmvAwXu2bdA4fzj33ZPPm/O53yfj27QUPXVi+PK++mj/8IQcOjPNjBQ/j1b4Kd82arF+ffj+vvz7ODxc8jFevN3pS35o1GQ5z8GBilx6WsPYdOtddl14vhw/nxIn0euNpXvAwdm3wX/lKmiZzc3nnnbFdn3NZDsaufavG0aP5y1+yalVWrcqyZeP5ZMFD19r36Y2F4KGQQdcbAIX99a85cCBNkzvuGM9hvOChC+1u/OxsfvjDrF2bm27K6tVj2Ld3lh660M7zq67KP/6RDz7IW28l47gaL3jozsaNWbEix47lzTcTwcNS1U74tWuzcmVOnRoF395Xs5gED93p9fK1ryXJ228nGcPFOcFDp66/Pkneey9zcxkMFnvICx46tWFDkhw+nHffHcOnCR460p6iu+GGJPnoo7z//id/XDRW2kFH2hX1x45l585s2pTbbssVV4z+uGgED4XYpYdOtY+vHdfcNeFhAnz8cZJceuli79Kb8NCddtw+91yuvTa7diUZPf1q0QgeutNedb/yyhw7lpMnx/CBgoeurV6dLPpsbwkeutMerl95ZVauNOFhqWuDX7ky69dnbm4MHyh46NRwmMEg69aZ8LDUtW+hSbJu3XguxXvEFUyA1avzmc8kWewn2wkeOjUzkyS33jp6NP0i3xJvpR0U4hgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/BskCkKBB18E7gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "44513135079c7064a98c7cf16c4e02a34c235b570f76682bf854beb5038a3967"} +{"episode": 85614, "episode_seed": 2933090639, "split": "train", "timestamp": "2025-09-16T00:20:24.531459", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2933090639, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.203362390095376, 2.920760953558665, -55.59719698186567])", "action": "('move', [7.203362390095376, 2.920760953558665, -55.59719698186567])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.203362390095376, 2.920760953558665, -55.59719698186567])", "action": "('move', [7.203362390095376, 2.920760953558665, -55.59719698186567])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.203362390095376, 2.920760953558665, -55.59719698186567])", "action": "('move', [7.203362390095376, 2.920760953558665, -55.59719698186567])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0786f0dd56b557e1c5577a9f973358c55cec587a5eba4152a9d473e09a7ac52f"} +{"episode": 85615, "episode_seed": 4241949568, "split": "train", "timestamp": "2025-09-16T00:20:25.129993", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4241949568, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.819732741252888, 6.1613859092513925, 42.17125971439683])", "action": "('move', [-3.819732741252888, 6.1613859092513925, 42.17125971439683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.819732741252888, 6.1613859092513925, 42.17125971439683])", "action": "('move', [-3.819732741252888, 6.1613859092513925, 42.17125971439683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.819732741252888, 6.1613859092513925, 42.17125971439683])", "action": "('move', [-3.819732741252888, 6.1613859092513925, 42.17125971439683])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKG0lEQVR4nO3dT6xcZR3H4e+ZmSaYXgOEAKFqhBgVU+FSDBUUAa1po3ElpgvCugsWbghojGEDQkiMUaMxundF4sao0GIUSSS0RGuRP4WGgKUoDRgILcT2zhwX59imxaqJbefO+T3P6s70Lt7k9jPve86c856mbdsANYzmPQDg7BE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQybwHMERtm6NHj7+cTDLywcqq0LRtO+8xFDCbaZ7VwAx/WnVhP/lk7rknb76ZNWty7rm5/fZs2DDvkUFihj/92jaHDuWJJ3LnnXniiSS58MJ89au5/fa85z3zHhzVCf5M+slPcvfdefnlJPnSl/LznyfJbJbZLONxmma+o6MgB5ZnRvcxum1bfve73HJLzj03X/lK/0+jUSaTtG1mszkOkJrM8GfSdJrxOEkeeiif+1w/q//1r9m9O1/84gm/AGeFGf5MGo/7BfyWLVmzJkmaJt/7XrZuza235vnn+9p95nK2CP4MG43SNFlZ6U/gHzqUZ57J4cP56U+zaVN+8IMkaZq0rew5Cyzpz6Ku6n/8I9//fr797bz2WpJs3pz7789VV815bNQg+Dn585/z9a/nF79Ikve+N1/7WrZty4UXzntYDJzg5+HYhXc//nG++908+2yS7N6d5eXjZ++dzOMMEPycdFWPRtm7N/femw9/ON/85gm/0P1dfFfPaSX4+WnbrKxkzZocOZKmyWTS533HHbnsstx22/Ffkz2nieDn7dhX8SsrmUzywAPZujWjUW6+Offdlw99aN7jY1B8LTdv43F/9n40Sttm3bpcf31mszzwQK67Lj/6UQ4edE0ep4sZfjXpVu8rK/nOd/LDH+Yvf0mSb3wj3/pWZrM0jbU9/ycz/GrSNP19NXfemZ/9LF/+ci6+ODfckDiS5/Qww68+x07mHT6cffuyvDzvATEcgl+t3FfDGSD4VezYyTw4TQQPhZg9oBDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyGTeA+D/dWwHE5tc8l8JfuHpnP+dJf0Cm83y9tvZuTN33ZXf/CaJZ8zzX5jhF1L3+NkDB3Lzzdm1K0n2789nPzvvYbHqmeEX2Pnn55JL+p8ffTQrK3MdDYtA8AtpNMrKSpaWsnFj/87Bg/nTn/pH18CpCH5RdYfrV12VpaUkOXw4Dz+cRPD8J4JfVN1jaTZs6J8oPZvlkUfmOyIWgOAX1WiUo0ezbl0uv7x/54UXcuBAJhOTPKck+IV33XX9bL9/fx57LG0reE5J8Aus6/zGG3PBBUny9tvZtStN49t4TknwC2w0ynSaj3/8+Jdze/bk0CGrek5J8IutbTOZ5FOf6l/u2ZO9e03ynJLgF1v3LOktWzIeZzzOK6/k6acT19hyCoJfbN2dMzfemKWlfhm/a1em04zHmuffEPxi64I/77xcc01f+KOP5uBBt9Dx7wl+CNo2X/hCkkwmeeqpHDjQvwknEfzCa9s0TTZtSv51Nc7Onf3PcBL/KQbigx/MRz6SI0eSZPv2/gc4ieAXXne4vrSUTZvSNBmN8sgjeeutxKqedxH8EMxmmUxy001p24zHeeON/OEP8x4Tq5Lgh6CbyT/2sZx/fqbTNE0efHDeY2JVEvwQdOfnPvCBbNyY2Sxtm+3bE/tb8i6CH4KmyXSa887rN8AZjfLii9m3L3EYz4kEPxDdZXYbNvR3zrzzTrZvd6ssJxP8QHS3yi4v56MfTZLpNL/+tbtoOJngB6K7VfbSS/vgkzz9dN5800X1nEDwwzGdZjTKJz7Rv/zb3/LYY/ax5QSCH45uVX/99f0GOG+8kd//Pkmm03mOilVF8MMxGqVts3Fj3ve+/p3duzOdZjKxqqcn+OFomqys5JxzcuWV/TtPPZVnn+0/CCCCH5huVf/5z2cySdPkpZeyZ09iVc+/CH5QukvrNm/OOeckyXSaP/4xiXP19AQ/KN0X75dckvXr+8Iffzyvv25VT0/ww7RlS5omTZNdu/Lii4lrbEki+KHasiVtmzVr8s47efLJxAY4JBH8UK1fn4suytGjSfLb3+boUXfOkQh+eLqw167N5s1p24xG2bHDBjj0BD9A3eNoum0tJ5O88kqee27eY2J1EPwAdTP5hg0Zj/sNcHbs6De3pTjBD9b7359rr810mrbNr36ldhLBD1J3h9wFF+TTn+5f7t6dV1+d97BYBQQ/QN2OV0muvrp/eeRIHn44cd6uPMEPU3dR/fr1ufTSzGaZTrNjR+Ki+vIEP0zdEfvll2d5uX9n585+13qTfGWCH6ZuGT+ZZHk5TZPxOH//ex5/3AY41Ql+sLpraT/5yaxdm+k0r76aX/4yieBLm8x7AJwp3R1y116bK67Iyko+85njz6KirKZ1SDd0e/dmaen4vldUJviBO3aBXXd+3vRenOCHrztod3ssETyU4mMfChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/BOnPUwpNxwF4gAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1da1e06450d36b962dfcb5535c402f012a33f1a259898bc97b6b4d1054e8e58d"} +{"episode": 85616, "episode_seed": 691226242, "split": "train", "timestamp": "2025-09-16T00:20:26.050709", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 691226242, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4083907621838394, -0.36818722465984965, 49.16701937791161])", "action": "('move', [-1.4083907621838394, -0.36818722465984965, 49.16701937791161])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4083907621838394, -0.36818722465984965, 49.16701937791161])", "action": "('move', [-1.4083907621838394, -0.36818722465984965, 49.16701937791161])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4083907621838394, -0.36818722465984965, 49.16701937791161])", "action": "('move', [-1.4083907621838394, -0.36818722465984965, 49.16701937791161])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJElEQVR4nO3dW2wUZQPG8WdmpwsEA2hUKCYgkFixQiNWzIpyo1FigkRjvCHplQhERRIJaBAPxEOAqNEL1KAxMRov5IIL0wiRkOCJxiAeAI2kjYdGLIcmhXDa7ux4MVO+ln4oAu1uff6/O2i73TT73/edmXfeDZIkEQAPYaWfAIDBQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwVdSklT6GcAMwVdMWnu5XOnnAScEXxlJoiBQuawwpHkMHoKvjCBQc7PmzNGePTSPwRMkHEcOrnRsb29XoaD2dtXW6qWX1NSkIKj0M4MB+xG+XB7M4TVJVC6rVNLChWpv14gR2r9fO3dmX+K9FwPNO/g4VhgqHLw/QqmkXE5r16q5WbmcTpzQTTdp+XKpZ+QHBpT9lL6rS8eOqbZ2EGqLY+Vy2r5d996rri4FgS65RM3NKhSyLwEDzXuE37RJ99yjlSvV1SUN7CWy9IR8e7seflidnQoCxbFWrVKhkA37wCCIKv0EKiSdQHd1aft27dunX3/VmDEDdwydPnAca/Vq7d6tmhp1d+u++/TII9SOQeU9ws+erXxeHR365RdpABe+JYnCUO+/r7ffzmqfNEnr1yufVxRx6I7B4x386NG64QaVy/rpJ0kDd/YuDPXDD3rssexU/IgR2rBBY8dyWh6DzTv4UaM0c6aiSNu36+hRheFFTzBJFMc6ckQPPaQjRxRFKpX0xBO6/XYW26ACXINP17VGkaZPV6mk4cNVLA7E70kS5XJ69lnt2KGaGpVKuuMOLV2a1c5kHoPM+LJcet6us1N79mjKFI0de9HPnpVKiiJ99JHmz5ekONbEiWpu1rXXch0OlWEc/Bku9sKXNOm9ezV3rtrasgU+77yjpiZ1d6um5iL+KuBcuU7pTzv9fndRa0/fPYpFrVyptjbl8yqXtWCBmpoUx9SOivEOPu3y0CF9/LFefVWnTl3EBw5DrVunTZsURSoW1diodeukAbwUAPwz7yl9Ou3eskVz5ihJ9P33mjbtwuf26QNs26a771Z3tySNGqVPP9WMGSyYR4V5DzdpfFOm6Prrlc/rs88u/CHTpA8c0KJFOnlSkuJYzz+vGTNULlM7Ksw++DjW5MmaMEHFoj7/XLrQ9XbpTy9dqp9/1rBhimM1NWnRImpHVSD4WEGg666TpJaW7J/nq1hUGOq11/Thh4oinTqlhgatXp2t6CF4VJx38Oo5h3bjjYoidXRo9+5sTc6/Vy4rn1dLi9asyR51+HCtXauJE9XdzVV3VAWCDyWpUNCVV+rYMbW0SOdzn2w6Y+/s1KOPav9+haFKJT31lO68k+twqCIEHyqONWGCrrpK0vkdxqfT9SDQc8/p66+zBfN33aVly7I9dYAqwYuxJ+/GRkk6fFjSedxFEwTauFHr12cL5mtr9cYbGjZMYcihO6qI93X4VDpAt7aqWNSkSRo+/F/9dLqVTWurCgUdPKgokqSNGzVvXvYloHq47njT2+mr8ZKSJNuD5tzG5XQX2uPHtWCBDh5UPq9iUStWZLUztqPaEHxfQZCN0ecgrT2KtGaNtm1TLqdiUbNm6fHHufsVVYopfS8dHdq8WUmi++/XyJH/eOk8XZj7ySd64AGdPKk41uWXa8sWNTRw9yuqFCO8pJ7D+B079OCDGj9ejY2qr1e5/DfVpkm3tWnJEh09qlxOSaLVq9XQkN0GD1Qhzin1cs016u7W77+rtVX6u4tz6ftDqaSnn9a+fcrnFceaP18LF2aTfKA6EXwvtbWaNu1/e1qefT6f3v365pv64IPs7tepU/X66xJ3v6K68fLsZeRI3XyzJH37rU6ezKbp/aS1t7RoxYos7zFjtGGDLr2UXWhR7QhekhQEShLV1GTB79qljg7p/8zq032mDx3S4sU6fjyb2D/5pGbNYhdaDAEE3yPtdepU5XJqbdWBA/2/Ja09DLVqlXbtyg7d583TkiWKY4nrcKh6BN8jjXX8+OzU3Y4d0plH5KWSwlDvvqu33lIUqbtbdXV65ZVsbR5H76h+vEh7pMHX1mrmTI0erY6OM+bo5bJqavTdd3rmGalnw/kXXtDkyXw+HIYMFt708803OnxYt93We1F9eh3uxAnNnautW7PPh1u+XGvWsGAeQwnBn0X6Z+l7UL5ypV58Mbv7dfZsbd6sfJ7aMZQQfD/pXS+9Uk+H9717VV+fnc4fO1Zbt6q+no2rMMQwPPWVnoU/ckTNzdq4Mf2/NPKrr9Z77+myyyRp7VrV11/g/ndABTDC91UsKp/XsmV6+WXV1enHH6U+E/uvvtLOnVq8OJvJEzyGFpZ995V2PG2awlC//aa2Nk2Z0nviXiioUKjkEwQuBFP6vtKwGxs1bpxOnNCXX0p91tul98ADQxTB95XuaVlXp3HjJGXB90o8CDgtjyGMF29f6Qm6KFJDgyTt2iWdz56WQHUi+H7SWf0ttygI9Mcfam0lePxnEHw/6ZT91ls1YoT+/FNffCGdz0dTAFWI4PtJR/i6Oo0apShSV5d0oZ8wCVQJrsOf3datkjR9uq64giV1+G8geMAIU/qzi2OVSkzm8V/CCA8YYYQHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQvXDfVCRFVVE0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIAklEQVR4nO3dX49V1R3H4d8654iUsY6hUEn/QLHGCNT6BxERDJe+kfZF+AJ8Mb4JE0UqRLAjbYgRimmTqkEg6aSI6JmzerEPndCUO+WY/X2eqzn7al3MZ/Za+6y9pvXeC8gwWfUAgIdH8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8NX7qkcAD0tu8L3XYlFV1dqqhwIPS27wrdVkUltbdedO9cWqRwMPxWzVA1iB3qu1+uyzOn++3nmnvv663nqrDhyoxaImuX8AiZAb/Ntv15tvVlXNZv2Pf6gDB5rgGb3EX/Bh0f7GG7VjR+3cWfN5XbmyfR1GLDf4Q4fq8bWtu3ertXbxozaf13TqiT0jlxj8YOfOOnFy0nv1XufP91u3Vj0g+OHlBl9Vr59urdV0Vpc2Fje+WpTv5Bm70OCHsE++Vr332bS2+vSvlydlGc/YhQY/+M2B/rPdi2+/q6p6/8zy6T2MWHTw6+vt1RPTYdfN2bM1n696QPADCw1+uJOvPVbHj1dVzWa1sVE3b652UPCDCw2+qra2qqpefHH5cbGoc+eqPLdj1HKDH+zfX08+uZzMn3mvq51xyw1+2EW7f389//zyypl3t1pzh2fMcoNvrba26okn6siRZeKf/WP61Vc1mWie0coNvmr5PvyRQ4uqRVXdvt2GZfzC27KMVHTww6z+8JHpvn2Tqrpzp599f/HfgzFgfKKDH1bsh4/UwYPLKxcvVmu23zBa0cFPJjWf1/p6PXVwUdWr2j8/n1y/XrOZmzzjFB38oPd64YU+TO+/+LwuXuhlGc9IpQc/mVRr9crx6fp6q6p/bfaNPy9K8IyU4Kuqjh6tPXuqqnpvlz+Z9u4wDMYpPfjWaj6vtbV6+unllU8/rS++EDzjlB583XuR5uTJ5Q+ffFJXr1bZVM8YCX45qz91qmazmkxqc1PwjJbglzf2Y8dq108WwxkYly6VZTyjJPilXbvq6Et9ONPywod144btN4yQ4Le9fno6bLP7eGPr+nVnWjJCgq+6F/bp09V77dhR//56evVqK2daMjqC3/bss/2xtfl331VVffBBc6Yl4yP4bY//tB17eTrssfvT2cXdu6seEHzfBF91b+q+a61OnGqt1WxW58/1zc1elvGMi+CXFotqrY693Hvvk0l9O59ubJjQMzaCXxru5E8drMfW+rCMP3PG7Z2xEfzSsN/uF79sL708GTp/910P7RgbwS8Np9/s3l3P/3758fLl2tws59gyJoLfNp/XZFLPPbf8ePt2XbhQ5bkdIyL4bcME/pln+u7d1Xt98029/95i2GwL4yD4bctDbA+3e+/G93MfLEzpGRPBbxvOtNy7t3771JB4u/b32eam1+YYD8HfZ7Go3ut3h4dDbOvGjeXB1Y64YxwEf5/ptFqro69Mn1hvVXXr1uKjD51pyXgI/j7Dc7ujR+vnT1ZV9T75+C9em2M8BH+fYRm/Z0/9+ldbw5W/XWs3b/rXFIyE4P+/V4+31nprde1aXbniLRpGQvD/a/hy7sTJyaOPtt7ryy9reIvGHZ4RmK16AD86Q/CvvVbTae3bV6dO1aFDVVXT6WrHBd+D1k1VH+Dq1dq7t3btqkceWfVQ4HsieAhiDf9AdtEzPtbwD+S7d8bHHR6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/Acx3oVxWeAbSQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5fc1554be0a5c1c6bd90a842eef013222f046670d18fdb8af9f996c8c4a241d8"} +{"episode": 85617, "episode_seed": 1261141364, "split": "train", "timestamp": "2025-09-16T00:20:26.645607", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1261141364, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9466622987832566, 2.647485741462358, -41.10166503500381])", "action": "('move', [-0.9466622987832566, 2.647485741462358, -41.10166503500381])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9466622987832566, 2.647485741462358, -41.10166503500381])", "action": "('move', [-0.9466622987832566, 2.647485741462358, -41.10166503500381])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9466622987832566, 2.647485741462358, -41.10166503500381])", "action": "('move', [-0.9466622987832566, 2.647485741462358, -41.10166503500381])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2a7084e50fce6bc2856e7968188a8945293857f9d1a51c48ef57d7ea9e03e48e"} +{"episode": 85618, "episode_seed": 2079166776, "split": "train", "timestamp": "2025-09-16T00:20:27.245858", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2079166776, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-28.394627491350914, -107.59452994508378, -49.30545264797589])", "action": "('move', [-28.394627491350914, -107.59452994508378, -49.30545264797589])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+klEQVR4nO3dTYhV9R/H8c85517tNtNoo2YmiosSxESsSIzKJMgCXRgtQhdTERhRGG0koqCV4CproQVGG0GEXLRQi5wWYU+Uo4Qgohspn2bUchwb556H/+Jccy7jf3fvPZfzeb+W4+bHeN73+5tzf/fcIMsyAfAQFr0AAJ1D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBd5E0VZYVvQiUGsF3kTBUECiOyR7tQvDdIkl05ozGx1WpKAiKXg1KiuCLl2XKMl24oOef18CAvvlG//5b9JpQUgRfvCBQEGj3bp0+rX37tH69fvtNktK06JWhdCpFL8BdlikIdP68Pv5YYago0pIlWrBAEht7tB4TvmD5GN++XVevKgwVx3rrLS1apCQheLQewRcpTRWGOnVKe/Y07s+vXKn16xtjH2g5gi9SHvaOHRoeVhBo+nQNDOj++xXHCvmfQRsEGe/5FiRJFEUaGtLatbp8WWmqxx7Td9+pt7fxhjzQcsyRYvy3ad+9W8PDklSp6M03NWOGxO06tA0Tvhj5eP/9d61Zo7ExpakeeUS//qogYDOPNuLiKkYUKU21a5dGRxuFf/ihoojZjvZiwhcg/5UfO6aVK5WmSlM99ZS+/57ZjrbjEitAfrRu2zbV65KUZXr/fYUhn5lB2xF8p+VV//yz9u9XFClJtG6dVq++/U9A+xB8p+VH6z76SEmiLFMU6e23NX26koQtPdqOS6yj4lhRpIMH9cMPCgKlqTZs0DPPKMuoHZ3AVdY5+Y59fFw7dmhsTGGonh5t3qxp0xTH3J9HJxB858SxKhUdOKAjRxp/vb/wgp59VkmiCp9aREcQfIfkf65fu6YvvtD168oy9fTo3Xcbg53xjs4g+A7JPxh3+LC+/VbVqtJU69Zp1SqlqaKo6MXBBgdvOiH/HY+OasMGDQ4qihSGGhrS0qV8EhYdxYTvkCDQ4KAGB1WtKkn02mtaurTxc6BjmPAdMjGhlSt1/LiiSD09+uknLVnCeEenMeHbLn9F3bdPx44pihTHev11PfQQtaMATPj2yn+79bqWL9epU8oyzZunQ4e0bFnjNh7QSVxx7ZU/i/Lzz3XyZOPjMZs26eGHOUiLYnDRtVE+w69d086dkhTHWrRIAwPs5FEYgm+jPPjPPtPJk41H2bz0kpYubZyoBzqPv+HbJU0VBDp3TmvX6sQJBYEeeEC//KJ58ySxn0cxuO7aKAi0d69OnFAUKcv06quaP1+idhSHCd8W+Xj/6y+tWaMzZxQEmjNHJ0+qr4/aUSSuvrbIH2K1Z49On1alojTV1q2aOZPaUTAmfFvkX/+8YkXjmfMLF2poSDNnctgGBWPitF5e9aef6uJFhaHSVO+9R+3oCkz4FsurPntWjz6qy5claflyHTqkuXM5WoficQG2WJJI0vbtGhlp3Jx/4w3Nncv3Q6IrcA22Uv6wqj/+0FdfNb7+edUqvfgiz6hEt+AybKUsU5pq505duKAw1LRpeuUVzZnDeEe34DJsmfwZlUePav9+haGSRMuXa+NGpSnPqES3IPjWyDftcawvv9TFi5IURdqyRb293JxHF+EufWvkd+CPHtXq1RofVxzr8cf14498/TO6Cxdja+R7+E8+0fXrjQ08X/+MLkTwLZBvktJUixdryRKNj+vpp/XccxLPqESXYUvfYufPa9s2vfyynnii6KUAUxB8K+U36oGuRfAtlqaNG3jcq0MXInjACGMIMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCb5ZlyrKiFwG0S6XoBXSZICh6BUAbEfwkaaobNyTp7rsVsvdBCXFZT3LkiDZt0tatGh6WxN4e5UPwkm61/eef+vprHTyoK1ckKU2LXRTQcgQ/ycKFqlQUxxobK3opQFsQ/CSzZimO9fffGh2V2NKjhAh+kr4+BYFGR/XPP0UvBWgLgp+kWtXcuapWVa9LTHiUUJBxWUvKMgWBxsd18KAmJvTkk5o/v/FDoEQIHjDClr4ZL38oNU7aNbtxQ1evqlZTfz/7eZQPE77Zrl1asEADA7p2TWLgo2wIvlkUKQw1OqqbN4teCtB6BH9LfpD2vvuUprpyRePjEhMeZUPwt+Rt9/dLuh08UC4E3+yeeyRpeJjgUUoE36xWU0+P6nWCRykR/C35m3C1mmbPVqXS+PwMUC4E3+yuu1StKo519qzEE69QNhy8uSVv+957tXmzLl3SihW3fwiUBWfpp0hTBQGpo5QIHjDC3/B3kmW6eZNTNygfgp8kSSTpwAFt3KgPPuB0LcqH4CfJT9ceP669e7VvnyYmJE7XolQIfor581WpaGyMx1SjfAh+kvzOfG+vkkQjI40JD5QIwU/R19c4UX/5ctFLAVqM4CfJJ3xfn3p7JenSpWKXA7QcwU/yX/D5A+rzb5gDSoTgp+jr0/TpyjKdO1f0UoAW4yz9FDNm6MEHNTKiadOKXgrQYhytnSLLlCSq8FKIEiL4O8mbl8geJUPwgBEmWLM0VRjqxAkdPqws05YtRS8IaCUmfLN6XdWqduzQO++ov18jI3wwHmXC23J3MmOGJNXrjcN2vCaiLAi+WRhK0uzZqtVUr3PYDiVD8Hcya5ZqNU1MMOFRMgTf7L9HWdZqSlMmPEqG4O+kv1+1moJAIyMSEx7lQfDNJk/4LNP580UvCGglgm8WBIpjVavq6VG1qnpdYsKjPHgffor87M3goK5e1bJlWrxYWca78SgHggeMcLT2/4hjSQrDxjvzQCkw4QEjjC/ACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPI/WfW9e7i9f6MAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-28.394627491350914, -107.59452994508378, -49.30545264797589])", "action": "('move', [-28.394627491350914, -107.59452994508378, -49.30545264797589])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-28.394627491350914, -107.59452994508378, -49.30545264797589])", "action": "('move', [-28.394627491350914, -107.59452994508378, -49.30545264797589])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "69fd734ef9ff5623af96276a1940ef040c403b2965ea85c3583c8fc29d700afa"} +{"episode": 85619, "episode_seed": 1577570596, "split": "train", "timestamp": "2025-09-16T00:20:28.171447", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1577570596, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.1655902786867802, 0.27960043464820816, 34.1458965917235])", "action": "('move', [-3.1655902786867802, 0.27960043464820816, 34.1458965917235])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.1655902786867802, 0.27960043464820816, 34.1458965917235])", "action": "('move', [-3.1655902786867802, 0.27960043464820816, 34.1458965917235])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.1655902786867802, 0.27960043464820816, 34.1458965917235])", "action": "('move', [-3.1655902786867802, 0.27960043464820816, 34.1458965917235])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3ee11f6d5c9c48237bf93a261b81ffc9cd5d377845fab73bf8c7b9f3536ba1e0"} +{"episode": 85620, "episode_seed": 3025556960, "split": "train", "timestamp": "2025-09-16T00:20:28.768078", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3025556960, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.07453628962575, 7.237368856505337, -21.728328180119366])", "action": "('move', [-11.07453628962575, 7.237368856505337, -21.728328180119366])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.07453628962575, 7.237368856505337, -21.728328180119366])", "action": "('move', [-11.07453628962575, 7.237368856505337, -21.728328180119366])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.07453628962575, 7.237368856505337, -21.728328180119366])", "action": "('move', [-11.07453628962575, 7.237368856505337, -21.728328180119366])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8928cd235c2eaeddd69cfd0b8d636f29b1d7bfb6b737adbce4df131dff0ff9be"} +{"episode": 85621, "episode_seed": 1029325530, "split": "train", "timestamp": "2025-09-16T00:20:29.362729", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1029325530, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.0123200396483645, -2.3357724738003376, 54.74479273074485])", "action": "('move', [-6.0123200396483645, -2.3357724738003376, 54.74479273074485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.0123200396483645, -2.3357724738003376, 54.74479273074485])", "action": "('move', [-6.0123200396483645, -2.3357724738003376, 54.74479273074485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.0123200396483645, -2.3357724738003376, 54.74479273074485])", "action": "('move', [-6.0123200396483645, -2.3357724738003376, 54.74479273074485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "77d3aaa9e20e1dbdd63238d73ab8305b6895a3404c4abb08d1cc96a1c8f8e944"} +{"episode": 85622, "episode_seed": 815432441, "split": "train", "timestamp": "2025-09-16T00:20:29.964215", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 815432441, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1076448064755486, -5.22187825343294, 6.733911817563542])", "action": "('move', [1.1076448064755486, -5.22187825343294, 6.733911817563542])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1076448064755486, -5.22187825343294, 6.733911817563542])", "action": "('move', [1.1076448064755486, -5.22187825343294, 6.733911817563542])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1076448064755486, -5.22187825343294, 6.733911817563542])", "action": "('move', [1.1076448064755486, -5.22187825343294, 6.733911817563542])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c1d0bd2d33f5299d272f75d7cd25a186409beb5cbf7853447ed5d4befafa9333"} +{"episode": 85623, "episode_seed": 2160951949, "split": "train", "timestamp": "2025-09-16T00:20:30.896240", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2160951949, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.168486094619872, 3.112370418797408, 37.72487132673708])", "action": "('move', [-4.168486094619872, 3.112370418797408, 37.72487132673708])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.168486094619872, 3.112370418797408, 37.72487132673708])", "action": "('move', [-4.168486094619872, 3.112370418797408, 37.72487132673708])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.168486094619872, 3.112370418797408, 37.72487132673708])", "action": "('move', [-4.168486094619872, 3.112370418797408, 37.72487132673708])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "07f68e9c70213715c0b09bf405b8ff3cfd00643ab421d4eb5b0a56d4d00a3da0"} +{"episode": 85624, "episode_seed": 3259452933, "split": "train", "timestamp": "2025-09-16T00:20:31.495423", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3259452933, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.475632541739171, 27.10425082044047, -47.01707866610426])", "action": "('move', [5.475632541739171, 27.10425082044047, -47.01707866610426])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.475632541739171, 27.10425082044047, -47.01707866610426])", "action": "('move', [5.475632541739171, 27.10425082044047, -47.01707866610426])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKyUlEQVR4nO3dX2jV9R/H8df3e85WRqYrKEwhZ7qluHDklG1g4BzqQEXNm0IIkjDqoiK66GIEQRdFF15o9md1EUUZmCYKE1cWKuWUURsIyQTZhWXFZqKrzjnfbxffr+fM9TN+/eq3s53X83ElZ9+Nr7DneX++n/PdOUEcxwLgISz3CQCYOAQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8JjECgUVCuU+iYoSxHFc7nMA/lLyKxoE5T6PSsCEx6QURZL01lvatUtBkNaePIh/gAmPyadQUCaj/n6tWqUff1R7uzo71dysMFQcK4qUyZT7FKcqJjwmnyBQHCuX0/z5imMdPqwHH9T27fr2WwUBtf8TTHhMSnGcLuPfeENdXertlaSaGj35pLZuVV1dec9u6iJ4TFZxrDhWGOrCBb33nnbt0vnzkrR4sY4d04wZ6TFiP+9vYEmPySrZq8vlNGuWnn9e3d164QWFoe67T9OmXXeM2M/7bzHhMelFkeI4vXT/6istWKA77lAUKQz12mtqaFB7e3rZn6wIcGMEjykiKTyRy6mqSvv2adMmBYG2bdPTT2vhwvRL2SyL/Bvh6RBTRFJ7Mp+S1+fCUI2NiiK9+aZaWvTiizp7VlVV1P4XmPCYmpJt/IsX9fbb6urSuXOStGiRtm3TY49p+nSJzbz/gOAxZSX350g6c0bvvqudO3X1qiR1dOjgwdJhxVf4wJIeU1gmoyhSPq+FC/XKKzp2TFu2KJNRU5N0bfEvsY0/FhMeU19x1Evq6VFrq266SUGgK1e0e7dWrlRjoyTl8wpD8218gkelGLt0z+eVzeqll9TZqZoaPfOMHn5Y995b+pIr62c7VJSk9rGvxs+apblzNTyszk5t2KAdO3T5srJZ5+U9Ex4VbWBA77yj3bs1OipJra164gk98ki5T6tsCB6Vq3ivzunTevll7d0rSdmsHn9cO3emXzW7P8/l/wlHYZi+Q9YDD2jPHnV3q6lJYai2NunaJUAQKAyVz5us85nwqHRj/6KuUNChQ1q3Lh3vg4Pq7taaNZo3T7p2x25FI3jYKG7jJ2+bE0V69FF98IEWL9b27dq6VbfdVvF36bCkh43ikJcUhgoC1dfr5ps1MKCnntL69Xr/feXz0pibdioOEx6Wkkkexzp1Sq++qo8/lqQw1IED6uio4DlP8LCXy+noUT33nKqr9cknmjOH4IFKNPY1uZERXbmi2bPLfU7/XwQPGP1FHZt2gErvkFXpfP+KALgOEx5AhSF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAgfNQUjyefHJR8Y6/HRUuMRPCxEkQoFhaEymXKfSlnxcdGoZFGkKFIcq6oqfWRoSGfPat48zZ3r8yHRJVzDowLFsaJI+bzCUNmsqqo0NKQPP9Szz2rTJrW16fXXJSmfL/eJTjiW9KgQyVI1mdhBoCBQGOr773XokD77TP396u9PjwlD9fYql1MmYzfkCR5TWzLMx23CXbyo/fu1f78GBnThgn7//bpviSJ9950GBtTYqELB66qea3hMScnFeRCUcr16VRcvqqdHe/bo2DGNjmrcr3YYauZM1ddr40Zt2KDaWmWzXuNdTHhMLXGsQiHdhAtDSRoe1uCgTp7U/v3q6VGhIF1b0heDr61VXZ1WrdKGDVqwoGwnPxkw4TE1JCM9e21CjYzo5En19urLL3X0aLpoz2SUyZQW8PX1WrpULS1qa1N9fennFK/zDRE8Jq/i72YxztFRHTminh719en0aV25Iil9dT2XS4+pq9Pq1Wpt1ZIlpc6TDflMxrTzIoLH5JLcCZesyYt++03d3dq7V6dOaWhIv/ySPh6GiqL037W12rhRa9aork733JM+mNxvk8mk638QPCaFZLM9jkuL9nxely7pxAl99JGOHNHw8PjNdkm33KI5c7R+vTZv1qJFmj699DSRz6evzJmP9HEIHuWUdF4oqLo6feTXX3X+vL75Rp9+qoMHNTKSPj52mN95p2prtWKFNm/W8uXX/cDkmHELBBQRPMoj2YQLw3Sxncupr099ffriCx0+rJ9/lqQgUFVVabDPnq0lS7Rsmdrb1dxc+lF/vtTHjRA8JtrYW+IkHT+uzz9Xb6++/lo//JA+WF2tXC498q671Nam1lYtXaqmpvQbk+cLNuH+LoJHeRw/rn37dOKEBgdLnWcy6QvpkmpqtG6dOjrU0KD589M1fxynd8hzcf6/IXhMkGQBf+aMurp04IAuXNDly+OPyWZVU6O1a7Vli5Yt08yZpWt7NuH+FdxphwmSBD8woB070ildNH267r5bzc166CGtXKlp0677LklBUNq9xz/BhMcESX7RLl3S/fdraEiSZsxQQ4MaG7V6tdrbS8Ncf7rOx7+Fp01MkCBQFGnmTK1dq3PntGKFli9XS4tuvTU9IHlHGuf7XicAEx4TKo7100/KZHT77ekjuRybcBOH4FEe3NxeFgSPiVZ831hMPIIHjPA0CxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gAbkcMhk0AGSgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.475632541739171, 27.10425082044047, -47.01707866610426])", "action": "('move', [5.475632541739171, 27.10425082044047, -47.01707866610426])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5d84d55717bcd86dd2303ae05d3de79bf1e35b30734262b07d38e369234c911e"} +{"episode": 85625, "episode_seed": 4051355354, "split": "train", "timestamp": "2025-09-16T00:20:32.096078", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4051355354, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0787205832581883, -1.738036513281633, 7.699424001680806])", "action": "('move', [1.0787205832581883, -1.738036513281633, 7.699424001680806])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKmElEQVR4nO3dy69dZR3H4e/aZ59SmkIordojWAyX1MZE1BqbajAqRsQAKZqocwfGMU78Uxw502g0mhiMqaABYxvlEoKJJBgDiVhLeuH0aus5Zy8HayGKrZfBPuvs9XueGauTt83+8K7L+67VtG0boIbJ0AMANo/goRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngopErwbZu2HXoQMLTp0APYJE0z9AhgCxj/DN9N7C+/nJMnhx4KDG38wW9sJMk3v5m77soDD+Q738ls5vSeokYe/GyW6TSvvZYXX8zlyzl6NN/9biaTbGxonopGHnwX9i9/mddeS5Ll5TzwQP9HruopaMzBt22aJk2TY8dy5UqS7N7dBz8Z898brmvMP/y2zXSaEyfy3HP9kXvuyd13Z2ND8BQ15h/+bJYkL7yQF15IkqbJ5z7nTJ7SxvwcfjJJ2+a3v83aWiaTLC/n0Uf741DTaH/7bZvJJGfP5sknk2Q2y/79OXAgcbuOwsYcfJJXX82zz2ZpKU2TI0c8iqO60Qbfnbd39+eXltK2efjhNI3mKW20wSf529/y4x+nabK2lgMHcs89Qw8IhjbO4Ltp/OTJPPVUP70/9FBuuilxAU9t4ww+Sdvm6NF+IX2S++/PZNI/qIOyRht80+SHP0yS9fXcfXf27+8PQmUjDL5bUXv6dJ55pi/8/vtz++1u18EYg+92v/7sZzl3rj9y6FCm06yvm+GpboQr7boZ/ic/yfp6ktx5Zw4dSiywg/HN8G2bpaWcO9evn0/ywQ/mfe/LbCZ4GF3wGxtpmvz85/0G+KWlHDqUycT5PCTjC767M/fUU7l8OUn27MlnPpMk0xFeu8D/bVTBdy+0On06zz/fH7nzztx7rw3w0BtVB7NZmibPP5/f/S5Jmiaf+lS/0g7IKO/SP/NMLlzoN8AfOZIkS0sDDwm2iPHM8N0Lrc6fz69+lSSzWfbty0c+klhgB28aT/DdOvk//jG//nV/xf7QQ/bDwr8YT/Bd5M8+m4sX+3P4L3xh2BHBljOS4LvVdVeu5PHH+w3w73lPPvCBoYcFW8yobtqdOpUnnuiv2B9+ODt3Ji7g4Z+MZIbvHDuWS5cynaZt8+CDNsDD240k+G4a7zbAr61lZSXvf/+wI4KtaCTBJ7l4Mb/4RX9b/rOfze23J87n4V+NIfhuA/yTT+aNN/p79ffdl+VlG2bg7cZw06775sSPftRfsd92Wz784cT0Dv9m4Wf47oHcpUs5dqw/cvBgDhywAR6uYeGb6MJ++umcPNkf+ehHs32783m4hoUPvnsR9dGjuXAhSfbsySc+kXihFVzLYmcxm2V5ORcvvvUF+LvuyuHD2diwQw6uYeGDb5o891xeeilJmiYf+1im0/448DaLHXzn+PGcPp2myY035pFHEhvg4ToWOPhuA/zly/nNb/r/3Ls3hw/3T+mAf7fAZXRP3V9+OU8/3R/59Kdzww02wMN1LXDw3VX6iy/m7Nn+pbRf/GL/WB64pkUNvjtvv3o1TzyR5eW0bXbvzsc/nqYRPFzXYi+tPXUqP/hB1taS5POf7zfAA9ezqDN8Z+fOfOMbOXIkt96aRx/1Bjv4L5p28ROZzXL8eO691wwP/8ViB9+2WVvLtm1DjwMWxGIH32nbfguN23Xwn40heOB/tNg37YD/i+ChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkMX+PvxW1331rm2ztOTDd2wFvi0HhZjh56Nt0zQ5fz4//Wlefz1f+lJWVvqDMBzBz0fX9p/+lK9/PefO5eDBrKxkNsvS0tAjozQ37eZp27bs3Jm2zdmzQw8FEsHP186dWVlJ0+TkySSZ+NdmYH6C89Fdq994Y975zjRNXn/9rYMwHMHP044d2bUrs1leeSUbG0OPBty0m5NuMt+2Lffdl9XVfPKT8fiTLcBz+Dn7x8Ib2AKc0s/ZZJK2dT7PFmGGh0LM8HMzmyXJK6/kscfy5S/n1VeTuJJnWIKfm67tU6fyrW/l+9/PH/4w9IBA8PPT3ajfsyf792c6zV/+8tZBGIjg5+yWW3LTTVlfz4kTQw8FBD8/3WR+88259dYk+fOfhx0ORPBz1DRZX890mltuSdKf0sOgBD9P3Y36XbvSNIJnKxD8/O3enbbN73/vmRyDs5Z+nrr9sHfckX37smtXrl7N9u1Dj4nSrLSbv/Pnc+FC3vWuTP3vlYEJfrPMZmkaz+EZluDnz7sr2TKcZG6K48fz0ks5cCCHD+ufAblLP0/dhyiaJo89lq9+Nd/7XvLmszoYguDnqWn6nfA335zE6loGJ/hN8e53J2+urnXThOEIfs66y/WVlSR5443kzXfgwBAEP2f/HPxf/5rVVW+nZ0B+fJui+xzFlSv9FynM8AxE8HP2jxl+x45cutRvoRE8A/EcflPs3ZsrV9I0/WW84BmIlXab4urVPP54brghBw9m715rbxiK4KEQ1/BQiGv4zbK6mhMnsmNH3vveoYdCXWb4+esumr797Rw6lK99LevraVv37RiE4DdL2+bixZw5kzNn0jSCZxCC3yx33JGmyYULOXs28WSOYQh+s6yspG2zutoHD0MQ/Ga57bYkOXcuZ84kZniGIfj569bY7N6d7dtz9argGZDgN8t0mn37MplkdTURPMMQ/GaZTPKOd2Q261+DYZMsQ7DwZrNMp/nKV/KhD+XBB5NkaWnoAVGRtfRQiBNLKETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMjfASVhXBfiwMG1AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0787205832581883, -1.738036513281633, 7.699424001680806])", "action": "('move', [1.0787205832581883, -1.738036513281633, 7.699424001680806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0787205832581883, -1.738036513281633, 7.699424001680806])", "action": "('move', [1.0787205832581883, -1.738036513281633, 7.699424001680806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHQElEQVR4nO3dwVIU1wLG8a8HNCVUrqAXUbCySZ4hj5BdniSPk6q8X0oENGApmIBXmM5iJt7FXfe0db/fbzXVq7OYP6fPOd3MMI5jgA6LuQcAbI7goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj23AP4f7ZcZhyTZBiy8KeVr8Awrr6SQAEz/FTGMScnef8+Fxf57rt8//3cAwJr+Onc3OSXX/Lzz/npp/z6a9xI8TUQ/IROT/P777m7y/l5Pn9OIntmJvipPHiQH37IYpFhyNlZPn2ae0Ag+Olsb+fwcL1R//rV/ef/mNyZn+CnMgw5OkqSre2cnY6rW3qYl+AnsVqrv3iRJFtD/vq09edf844IEsFPZBX88XGSDIskw5s3w6wjgkTwk9p7PCbL5TJJTk6SZFA9sxL8hB7tDN9+u7i7S5LXr+ceDQh+Uru7OTxc394Lnq+B4Cf06FGePVt/FjxfA8FPYrVW39nJwcH6yumruxnHAyuCn9DOTg4P159PXnnwhvkJfhLDkOUyi8U6+GHI28sHnr1hdoKfyuo07tlBkiwWubvP+Xni/RlmJfiprMLe318m9+OY+3v7dsxP8FNZ7dvtPR63Flkus1zm7CwxwzMrwU9lHfz+1r8eL5Lc3+f0dOYhgeCn9XgvT54M+ec/XsUMz6wEP5X1DL+X/f31ldOT+xnHAxH81Pb38+TJ+vPp+SJmeGYl+KkMQ8Yxu7vZ21tfeft2iBfmmJXgpzIMWb0n9+WW/uYmt7fZ2jLJMxvBT2gV9tOnYzImub3Nmzf/vQ6bJ/gJre7enz29Xwd/42E7Zib4yR083/rmmyHJ7af1DA9zEfyEVj8geXAw7O4OSW5ucv4m+ecxe9g8wU/u4CC7u0lyd7d8e+oonjkJfkKrNfyX4JPh/GyMNTzzEfyE/jf4t5d+rpc5CX5Cw5DPn/Pw4Zfgc3Wdccz2tkmeeQh+Wuuj+L271cnc1VWur9ebebB5vnrTWrV9dLxIhiRXV7m8TGzUMxPBb8KL48VqPX99vQ4eZiH4aa06f/4829tJ8uFD3r1LbNQzE8FvwtFRHj5Mkuvr8d2l1pmN4Ke1muFfvFjP8Mvl8vKPZazhmYlj4Wl9CX41wydb796P8VY8MzHDT2v1bzAODtYzfJKLyyHxVjzzEPzkxjGLRf69v/5tuYuL3N05imcevncbcny0ntAvLvLx47xjoZfgN+T4u/U9/cVFrq8TJ3PMQfCTW+3PHb9cb9MJnhkJfkOOjpIkQy7/uP945VCOeQh+Q46Pk2RI/rwZPlw5lGMezuE35OXLJNnZSbK4/TTzYKg1jJaSG3F1ld9+y9FRnj7Njz/m4CDj6PEbNk3wUMQt/YaMY+7vk2QYsliY25mHGR6K2KWHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIn8DHecvGqg1oXIAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHQElEQVR4nO3dwVIU1wLG8a8HNCVUrqAXUbCySZ4hj5BdniSPk6q8X0oENGApmIBXmM5iJt7FXfe0db/fbzXVq7OYP6fPOd3MMI5jgA6LuQcAbI7goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj23AP4f7ZcZhyTZBiy8KeVr8Awrr6SQAEz/FTGMScnef8+Fxf57rt8//3cAwJr+Onc3OSXX/Lzz/npp/z6a9xI8TUQ/IROT/P777m7y/l5Pn9OIntmJvipPHiQH37IYpFhyNlZPn2ae0Ag+Olsb+fwcL1R//rV/ef/mNyZn+CnMgw5OkqSre2cnY6rW3qYl+AnsVqrv3iRJFtD/vq09edf844IEsFPZBX88XGSDIskw5s3w6wjgkTwk9p7PCbL5TJJTk6SZFA9sxL8hB7tDN9+u7i7S5LXr+ceDQh+Uru7OTxc394Lnq+B4Cf06FGePVt/FjxfA8FPYrVW39nJwcH6yumruxnHAyuCn9DOTg4P159PXnnwhvkJfhLDkOUyi8U6+GHI28sHnr1hdoKfyuo07tlBkiwWubvP+Xni/RlmJfiprMLe318m9+OY+3v7dsxP8FNZ7dvtPR63Flkus1zm7CwxwzMrwU9lHfz+1r8eL5Lc3+f0dOYhgeCn9XgvT54M+ec/XsUMz6wEP5X1DL+X/f31ldOT+xnHAxH81Pb38+TJ+vPp+SJmeGYl+KkMQ8Yxu7vZ21tfeft2iBfmmJXgpzIMWb0n9+WW/uYmt7fZ2jLJMxvBT2gV9tOnYzImub3Nmzf/vQ6bJ/gJre7enz29Xwd/42E7Zib4yR083/rmmyHJ7af1DA9zEfyEVj8geXAw7O4OSW5ucv4m+ecxe9g8wU/u4CC7u0lyd7d8e+oonjkJfkKrNfyX4JPh/GyMNTzzEfyE/jf4t5d+rpc5CX5Cw5DPn/Pw4Zfgc3Wdccz2tkmeeQh+Wuuj+L271cnc1VWur9ebebB5vnrTWrV9dLxIhiRXV7m8TGzUMxPBb8KL48VqPX99vQ4eZiH4aa06f/4829tJ8uFD3r1LbNQzE8FvwtFRHj5Mkuvr8d2l1pmN4Ke1muFfvFjP8Mvl8vKPZazhmYlj4Wl9CX41wydb796P8VY8MzHDT2v1bzAODtYzfJKLyyHxVjzzEPzkxjGLRf69v/5tuYuL3N05imcevncbcny0ntAvLvLx47xjoZfgN+T4u/U9/cVFrq8TJ3PMQfCTW+3PHb9cb9MJnhkJfkOOjpIkQy7/uP945VCOeQh+Q46Pk2RI/rwZPlw5lGMezuE35OXLJNnZSbK4/TTzYKg1jJaSG3F1ld9+y9FRnj7Njz/m4CDj6PEbNk3wUMQt/YaMY+7vk2QYsliY25mHGR6K2KWHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIn8DHecvGqg1oXIAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "11bea0f38818dde4e810f6ed84f41c69d57184bbc5d5e6edb36f63409b064322"} +{"episode": 85626, "episode_seed": 3175996890, "split": "train", "timestamp": "2025-09-16T00:20:33.029546", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3175996890, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.1362505107577148, 2.4333304423864015, -9.850176081618136])", "action": "('move', [2.1362505107577148, 2.4333304423864015, -9.850176081618136])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.1362505107577148, 2.4333304423864015, -9.850176081618136])", "action": "('move', [2.1362505107577148, 2.4333304423864015, -9.850176081618136])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.1362505107577148, 2.4333304423864015, -9.850176081618136])", "action": "('move', [2.1362505107577148, 2.4333304423864015, -9.850176081618136])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIfElEQVR4nO3cS4id5R3H8f/7npmzSHBRadOVoi2BXqAWUpqNKBlNFwo1KrYVKlXEbhwNwUq91CTeaIvVICVQbDEroYRipBspJgGlpRcF8YIoYiyahdLgopWGZOa8TxczmdrSC2qSyeT3+azP4uVwvuf/Ps/7nNO11grI0C/3BQAnj+AhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOBPttaW+woIJviTZxiqqrpuua+DYII/GVqryaT6vo4cqf3769Chas2oZxkI/oQbhhqGGo3qjTfaddfVRRfVrl3VdYJnGXTN5+5EmkxqNKqq2v3L4fY7ugNvdlNTNR7X7t116aXVmjt8TioT/gRaqP3QX2r2xvatq+vAm930dM3PV1W9//5yXxyRTPgTYml07983fO+Wev6FbjTqqmoyaV/9SntwR3/++cY7y8CEP85aq2Gorqu5o3XvPe3rl9XzL/TjcTeZVFW7eXZ4ap/aWTYm/PG0tGJ/5ZW6+aZh3/6+qkajmkzauee0Bx/qL7+8qmoYqvdNy3LwuTtu5udrNKphqEcfrQsvrH37++npqqrJpK66cnj6mW6h9tbUzrLx0Ts+hqGmpurPb9Z3rhmuv74OHarxuObm2qc/Nezc2Xb/anTWWZ2DNyw7t/Qf19Jq/PHH6847h1df7UajhRV7XXxx/eSBdt6Xu2GoatWPlvdKQfAfw8I713V1+HDd/v3JI78YHT5c0+OaO1p9X9u21ZYtdcYZi2fsDHZOBYL/iJb25/70x5qdHZ59ruv6rutqmNQXPzf8dGe3Yab74MvgVGAN/1Es7M8d/ns9+MAws6E9+1w/HndtqL6GG24Ynvldv2GmWzgtr3ZOKSb8h7YwtF96qbZubU880ar6qaman6/PfmbYvr2+fU1fHrxxqhL8h7C0P7drV913Xx04sLhirxquuqq7e3t9/gudFTunsqnlvoCVYWl/7tChuvXWeuyxmpur8biOHq3Vq4f776sbvtutWlXz8zXlHeUUZsL/f5P5Gk1VVe19qs3e2F57vV84YNNarV9fO3fWunVV9udYCSw0/5fWam6uRlP13nu1fVtt/Fp77fV+PK7JpFavrltuqaefrnXryv4cK4UJ/18tZNz39Yfft7vuanv39X1ffV/z8+28L9Xd93SXXbb4Mit2VgrB/2dLGT+8o/3ox+2dd7vxuDt6tKradde2rVu7c87tFh7OqZ0VRPD/bin1t99uN8+2J37dVXXT0zU3V588c3hoR3/11TU1XXNztfDbGFhBBP8vFjbeWqs9e2rz5jp4cOHHrVVVG2cmO382Wrv2ny+DFcem3aLWFs/PvftO27y5XXllHTxY43FNJu3MTwz33dt+s3e0dq39OVY2E76qFv+jputq37664/b2p2fr2D9S1fr17Yf3tw0X9WV/jpVP8IvHYOfn6/57Jw/t6P/6t8UVe1Vt2VK33VZr1lixc5oQfFXVyy/Xli3D3r1dVTc1qvlJnXP2sOPhftOmqnJ+jtNH9Bp+GOrIkfr5I21mpu3d20+Pu6qanwzf/EZ75rf9pk2L/0ipdk4buRN+4U5+z5664orqupqaqrm5tmZN3fWDYfamUX1gYQ+njdwJ33U1DHXBBXXJJYtHaGdm6skna/am0dIZO7Vzmsmd8HXscfqLL9a119bGjW3btm7VKs/YOZ1FB1/HnrS99VadfXaVEzWc7tKDr2PNL/3iHU5juWv4JQuL+VI7AUx4CGLCQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5B/ABytGr3Na0/YAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7db422500dc1ff8f6fe75d861d65e2f1645790a1e50088f0a09e2e4adf36d4ca"} +{"episode": 85627, "episode_seed": 4050672079, "split": "train", "timestamp": "2025-09-16T00:20:33.623215", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4050672079, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.861269585858482, 23.63676201468193, -28.353088181465324])", "action": "('move', [9.861269585858482, 23.63676201468193, -28.353088181465324])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.861269585858482, 23.63676201468193, -28.353088181465324])", "action": "('move', [9.861269585858482, 23.63676201468193, -28.353088181465324])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.861269585858482, 23.63676201468193, -28.353088181465324])", "action": "('move', [9.861269585858482, 23.63676201468193, -28.353088181465324])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a339aa89bec15423d0adfe942e3333fc50cf7cc9b1430c4e82657cf1d650b7d6"} +{"episode": 85628, "episode_seed": 504073481, "split": "train", "timestamp": "2025-09-16T00:20:34.215459", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 504073481, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.685527165008299, 10.54327094225985, -42.63519935422008])", "action": "('move', [-1.685527165008299, 10.54327094225985, -42.63519935422008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.685527165008299, 10.54327094225985, -42.63519935422008])", "action": "('move', [-1.685527165008299, 10.54327094225985, -42.63519935422008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.685527165008299, 10.54327094225985, -42.63519935422008])", "action": "('move', [-1.685527165008299, 10.54327094225985, -42.63519935422008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "068c71d626be1bb232325513127c15dd2e10764a4c08955f9c90e58cdaea7a46"} +{"episode": 85629, "episode_seed": 803477064, "split": "train", "timestamp": "2025-09-16T00:20:34.821939", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 803477064, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.73756491557093, 26.353239986311923, 10.382041131340847])", "action": "('move', [21.73756491557093, 26.353239986311923, 10.382041131340847])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.73756491557093, 26.353239986311923, 10.382041131340847])", "action": "('move', [21.73756491557093, 26.353239986311923, 10.382041131340847])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.73756491557093, 26.353239986311923, 10.382041131340847])", "action": "('move', [21.73756491557093, 26.353239986311923, 10.382041131340847])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "82635ed620f6e0a7f3b7baf0e6623ae99ebda56677e4b0e0c5bd0861f5e7ccd0"} +{"episode": 85630, "episode_seed": 4073245675, "split": "train", "timestamp": "2025-09-16T00:20:35.762155", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4073245675, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.5657147524713526, 2.2730284251526687, 33.801626321453874])", "action": "('move', [-2.5657147524713526, 2.2730284251526687, 33.801626321453874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.5657147524713526, 2.2730284251526687, 33.801626321453874])", "action": "('move', [-2.5657147524713526, 2.2730284251526687, 33.801626321453874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.5657147524713526, 2.2730284251526687, 33.801626321453874])", "action": "('move', [-2.5657147524713526, 2.2730284251526687, 33.801626321453874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIi0lEQVR4nO3cT6jlZR3H8e/vnHPvNFqLCDMCJW0jJQYXd2OB5jD+Sc1FJhoYiCD+YYw0cEyiGErRNBudSCUXEWoj6IwgqAXm+G8hs/FPSLlwJYiIxmA49/x+T4tzuWZYUuOde2+f12t9F2fxvM/3+f2e59yutVZAhtFqfwDg0BE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBH8/4PWVvsTsE4Ift3r++q6qqoHH6zrrqthqPIVwL8xWe0PwEFZXKy5udq/v3bsaNdfX33fHXVUXXpptbb0LQD/rGtmwfrUWvV9TSb18ott2w9r9+4ajbrxuLqunn22FhZqGGpkA8cHWRHr0myATyb1wO+Hc77Zdu/u5ue7YajFxfbt89oRR5jwfDhb+nWmtWqtRqM6cKCu29Z27uze/Xs3v6EOvFef+uRw082jiy+uyUTwfDhb+vVkeZf+yit1ySW1d29VV6OuhqEWvtLf9ZvxwsIH/gz+hXWxbkynNRpVa3XvvXXSSbV3b83NVbUaj+uSS4Ynn16qfTb/4UNZGuvDdFqTSb3xRtt6xXDBBfXmmzU/X4uLdfTR7a472513jg4/fOkozk6e/8CWfh2YPZA/+2y75ur29DPdeNLVUP1Qp55aN95YCwvV9zUaSZ2PZsKvactDe8eO4dxzu6efGc3Pd/20+mG49tq6//5aWKjFxZqdxsFHMuHXqOW38W+9VVdd2f/uvtEwdJO5mi7W54/sf/Xr0dnndFXV9zUer/ZnZf0Q/Fq0vEV/8k/t8svrxZdqMumGoYahnXFG3b6jO+ZYT+z8L2zp15zptMbjWlysm29qW7bUiy91c3PddFobNw4//lF7+OHumGNrGKrr1M5/zYRfW2Zb9FdfrWuvrV27qqomk5pO6/jj2403tDPOHBnsHAwTfq2Y/cptPK7dDw3fOLPt2lVzc1VV02m78ML28J7ujDNH02mV2jkIrtauvtZqGJa28dt/Mtx8S737brdhQ733Xh12WG3f3l12WW3YsHQUDwfDln6VzQb7aFR//Uu74op69LGu62o0rn7aTjih27mzNm1a+jP35zh4FtFqmr2NH43qgV3taye1Rx/rZr976aftu98ZnniiNm16/3wODp51tGpmb+Pfebuu+UH71nnt9TdG8/M1nbbPHdl27qx7fjv+9KeX7th5aOfjYku/CpbftO/bV1dtbXuf6ibjalV93766abjlF+MTT3RblhVhwh9qy0fo99xTp59ee5/q5udr2lff19at7aHdoxNPXPphnNr52Jnwh87y0/jf3mlXX9PdfXe1VrPbsp/9zHDb7aPzz69yW5aVJPhDZPlt/HPP1ZWX98/vG43H3exA7pRT6o476rjjqsp/qmFl2dIfCrNDta6rX97WTjutPb9vPD/f9X3NzdW2bfXII3XccUvfCGpnRZnwK242tF9/vb7/vf7e+0dV3WRc076+eMxw622js85y8MahY5WtuK6rxx9vp3693Xv/aDLXVdW0b+ee2/7wx+6ss6rvq0rtHCIW2kqZ7Zym0/rp9v6cs+vlP3fz8910sT6xob/hZ+2++7ovHNM5e+MQs6VfEbNt/Ntv10UX1Z491XU1mavFA+3LX6pbb2mbt4zKbVlWgxW3Ulqr/fvrtdeqqrquFg8MF15Yjz7Wbd4yso1ntZjwK2U2wF94oU4+ufbvr5/fNFx+pcHOKhP8CppdodmzpzZurM2b3z+Kh9Ui+JW1fJHG+znWAsGvOMfsrB2ChyDmDgQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5B7TPEVE4PhNrAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f91b846412ecef0f57adfc29478f4093448065116be1863f71b02cbc45d6a1a0"} +{"episode": 85631, "episode_seed": 593227610, "split": "train", "timestamp": "2025-09-16T00:20:36.361566", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 593227610, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.456174790111958, -75.36450734588864, 53.819761662259644])", "action": "('move', [5.456174790111958, -75.36450734588864, 53.819761662259644])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.456174790111958, -75.36450734588864, 53.819761662259644])", "action": "('move', [5.456174790111958, -75.36450734588864, 53.819761662259644])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALGklEQVR4nO3dXYhU9R/H8c+cM6MbrVBKXahJgoVhSkRYlIGQhNiaF0VpZkKUkZnPufkIE4qistsiSgpdpBQZFl7UmgYlIYUWlKKIoQhiZrGSVGS5M+d0cY4zLvr/+7S7M7Of9+tCVt2LA+N7v7/f75wZM3EcC4CHoNIXAKD7EDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4dLk4VhxX+iIgieDR1YpFZTLKZCQpiip9NfYIHl0ljtXerjDU+fPaulWtrQoCFYuVvixvBI8ukQzzXE779+vllzVxohobdeYMzVcYwaPzFYsKAkWRmps1YYI2b1ZdnQ4e1LJlam9XJsOWvmKylb4A9BxJxpmMwlD79mnhQn35pSTlcvrnH2WzuuMOBUF5S4/ul4n5YYvOEEUKAkk6d04rV6qlRX/8oWxWhYIkjRypt9/Wgw9Se4Ux4XGj4liFgnI5SfrqK82bpx9+kJTWfvvtmjlTjY3K8m+tCjDhcUOiSHGsMNTx41q3Ts3NktSrl86fl6SGBuXzuv9+SYpjZnvlETyuX2kZ//77Wr1aBw4oCBQEKhQ0eLAWLNC0aelvGe9VguBxPUrj+uhRLVmibdtULCqXU3u7JL30kubN09ChimNFkcKwsheLMoLHtYmi9OAtivTOO1qxQqdOKQzTtf1dd2ntWo0bl27gw5BlfHUheFyD0uL8wAG98YZ27ZKUDvY+fTR1qvJ59e0rXbTaR1UheFyVOFaxqGxWbW16913l8zp3rnzX7aGHlM/r8cfT72SqVy2Cx5WVxvWOHVq9Wrt3SxeO4vv108yZmjtX9fUqFtmuVzuCx/9TeniurU35vN57T3/+Wb7r9uSTWrxYI0dKovbaQPC4vFLqkrZt0+LF+uknSQpDFYvq108rV2rSJNXXq1BI78ah+nF7FJdROpw7cUKLFunDD8t33YJATz2lNWs0aJCkdGOPWsGERwel52T//ltbt2rRIp0+rWxWUaQo0tChWrJEkyeXv5nzudpC8CgrHc7t3as1a/Txx9KFw7levTRtmhYuVP/+bNdrGMEjldT+779as0YbNuiXX5TLqVBQHOvhh7V0qcaOlcRzsrWN4N1dfDj39ddauFDffCNdeK9bXZ0WL9Yrr+i229JPp+NwrqYRvLXS4vzsWS1frg0bOjxOM3q0mpt1332SeE62hyB4U6XDuShSa6sWLNDhw9KFu24DB2ruXM2ZU/5mUu8ZCN5R8gmTQaAjR9TUpE2bpIvexP7MM1q2TMOGdVjto2cgeDulcb1pk5qadORIuqovFjV0qBYt0pQpEodzPRQvqZek9kOH1Nio1lbFcflN7DNnavZsDR6cvtGV2nskJryR5Mbb/v1qaNDJk+XDuXvvVXOzHntMmQyHcz0c91iMJJ8VP3x4+eC9b181NmrvXo0Zk36mRTZL7T0ZE95LsqQ/flyjRunuu/XWW3r00fKfo8cjeFN792rYsPS9bmzXfRC8o9I856l4NwRvKvnv31jGuyF4wAin9IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4dBTHiuNKXwS6CsGjo0xGmYyiqNLXgS5B8LggGeyFgs6cURCoUKj0BaHzETw62rhRzz6rPXuUzapYrPTVoJNlYjZskFQsKgx18qQeeUQnTmjAAK1dq4kT07GfyVT6+tA5mPCQJAWBoki33qqWFvXvr59/1osvatWqdEvPVOgpmPC4xIEDmjpVP/4oSbNmqalJQaA4Zs73AEx4dBRFGjFCX3yhhgb16aN77kmHfxSxpe8BmPC4RDLMz57Vnj1qaJAu7PCTL4KAUV+7CB6XU1rAl75oaVEYasYMjvFqWrbSF4CqlBzUlQb7J59o9mzlcvr1V+Xz6SI/YD9Ye3jN8D9kMspm00k+YoRGjlR7u5Yv16RJamtTELClr0UEjyuJYw0Zop07NXmyJH30kcaN06FD6fBHTSF4XEnyaP0tt2jLFuXz6t1b332nsWO1c6ckbtHXFg7tcHWiKH0I54MPNGuW2tpUV6cdOzR6tAoFZTkMqg28Trg6ybM3xaKee0533qkpU9S/vwYPTm/USTyZUxOY8LhGpafuo0iDBqXH9cmv3LGreuzhcY3CUFGkgQPLtR8+rCee0L596c08RkgVI3hcu2SYl8KePl2ff64JE7RtW/k5XFQlgsd1SdbtSfnTpmngQJ0+reef14oVCsPy8h5Vhj08OsP33+u117RvnyS98ILWr1d9Pcd4VYgJjxvW3q4HHtD27Xr6aUnavFnjx+vYMd5IX4WY8OgMydF9oaA331RLiwoFjRql3bvLb6Rn1FcH7sOjM4Sh4ljZrNau1aBBWrdO8+crDNMfBMkJH81XASY8OlUS9tGjGjIk/fqvv1RfX/4rVBTBo7MlU730KO6MGTp9Wps2qW9fmq84lvTobEntUaRsVtu3a/16STp1Shs3avjw8g8CVAKn9OgCQZBmP2aMli5V79769luNH69PP02P8Xgyp0JY0qPrbdmi+fP122+66SatWqXXX2fCVwrBo4sl+/Y9e/Tqqzp4UJLmztWcORowgOy7H8Gj6yXHeMeOafp07dolSZ99pnHjOMPrfgSPbpF8SMbvv2v2bNXVqalJN99c6WtyRPDoLsmcP39emYxyuUpfjSmCRze69OPu0b0IHjDCfXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8iWCju1ZChgQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.456174790111958, -75.36450734588864, 53.819761662259644])", "action": "('move', [5.456174790111958, -75.36450734588864, 53.819761662259644])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "941daff3623ad67e9ca206bea1473fb9a0459845e90d1e5bef66492f67261361"} +{"episode": 85632, "episode_seed": 2292457828, "split": "train", "timestamp": "2025-09-16T00:20:36.956125", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2292457828, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [111.45430772452278, -0.7531813016041268, -12.734103698692593])", "action": "('move', [111.45430772452278, -0.7531813016041268, -12.734103698692593])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [111.45430772452278, -0.7531813016041268, -12.734103698692593])", "action": "('move', [111.45430772452278, -0.7531813016041268, -12.734103698692593])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [111.45430772452278, -0.7531813016041268, -12.734103698692593])", "action": "('move', [111.45430772452278, -0.7531813016041268, -12.734103698692593])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHVUlEQVR4nO3a304c9xnH4Xd2IbHASVw1gB0LArVlqEHqURTlKFeQi8q9JFeQ64gUN0DAUWP+VJEMtmubGuHAzvRgt9imaZ2DGJp8n0d7gEazy6w0n53fvjtN13UFZOhd9AEA50fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwVNdV1130QXAuxi76ALh4TVNVNRhU11XTvHjw+9N0PtuztW0dHdXExNntJyfVttXrjeLvWQv+LrjC5xr2vLNTn39e775bt2/X9Wvt1WvNzNVmZqbeeuuVnU9Oqmur0f9vnOBzDYPf2Kgvv6zj4+G2bnqqmZ2rudGjW1hoFhZqfr6uXDn73NP1f5X1/2+G4HMNv8ytrdXxcTVNjY3VoO3v7dfefn399XCXZmKipqbq/fdreqr7cHawtNxfWmoWF2t+/jUve8pnwf8VwecaLsuvX69PPqnvN9rHB72uPbvP4WFtb9f2dlU1Vf1+r5mYrMnJujzZ3ZgfrPylv7zSLC/X0lJNTla/X/UfhXddte1ou+XAhTO0o9q2Tk5qd7dWV2ttvVa/GaytN48e9549q8PDev68qrqq/5ppr1fj43XjRreyUsvLzcpKLS7WH650k5ebyckae/Wa0rY1GIye5eeA8yd4ft6TJ7WxUZubtblZmxvt/b3e/n49eFAPH7ZVzcv9j41V140y/rd2+o/t4u2xpaVaXKybN2tmZvTV4L33Xvkvw8+a00GgWeCbJnhGhidC11V11dVofX6qbevevdraqq2/De7tNLu7ve3t2t2tnZ06OXmxW9PU+HhV1U/HVS/OrO7SpWZ+vubna2Gh5mbbD2drbqE3N1ezs+fx1jgleH7e8Pa74TS+62p8/Oza+8GD2tur+/frxx/rhx9qc7Pu3q3vvzt5/M/+met/05z+CjB67aa6mau96emamalrV9tbN7tbf+7fulWLi3Xp0mj+z5sgeH6R1/b//Hk9fVoHT7qH/6jNzWZtrdZWu7W/nmzt9tvuf6/Uu6qamGg++KC++KI+/rgGg7PrC34tpvT8ImfutzmNf/h3v19vv11TUzU11fyp6qOPqqoGg+b4p7GnB83GRn37ba2v151vBtvbzbPD3tFRHR1V13Wn44DDw2rbeuedi3p/KVzh+XW8GAHUa2bvd+/W+ne1sdaurbbbf+8/etQcHNTubn36aX31VV2+PLojiDdB8Lxxp6fYyzfnndrfr62tunOnZmbqs8/O/+iyCJ7z9vIsYHiHH+dG8FywYfxtK/7zIHgIYjYCQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4FowdyF/OtcwIAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "eb6ee86556b356488984ebfda5f3e18bea17db076faf8583f787dd6dc0fb0d0a"} +{"episode": 85633, "episode_seed": 2496270050, "split": "train", "timestamp": "2025-09-16T00:20:37.882390", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2496270050, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-15.199407179972008, 24.083889690879403, 31.33110105826658])", "action": "('move', [-15.199407179972008, 24.083889690879403, 31.33110105826658])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-15.199407179972008, 24.083889690879403, 31.33110105826658])", "action": "('move', [-15.199407179972008, 24.083889690879403, 31.33110105826658])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-15.199407179972008, 24.083889690879403, 31.33110105826658])", "action": "('move', [-15.199407179972008, 24.083889690879403, 31.33110105826658])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5ad7bb856bc9eb0da156c94544cb8bc1f7297e0f13a2ac3920b700c4e3724108"} +{"episode": 85634, "episode_seed": 439582174, "split": "train", "timestamp": "2025-09-16T00:20:38.481715", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 439582174, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [66.53287233259633, -159.85749859110317, -5.721659479912925])", "action": "('move', [66.53287233259633, -159.85749859110317, -5.721659479912925])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ+0lEQVR4nO3dy45U18GG4a+q2xhDMOEQkEMDORh3iAmDzCxF8jCXEOUCcg0ZZZxBRlGkXENyDZ54kBswsbEjwA5gsIRiDu0gTt1VGewNtiI5/4Ciq36+5xlV79GS0Mtae+2tvSbz+TxAh+myBwDsHsFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkfVlD4CXwXw+/phMljoO/i+CZwF0/v+F4FmAra1sbeXixUwmeffd7Nmz7AHxLdzDswC//W1Onswvf5nf/S537ybfWOSzUgTPAhw+nMkk02kuXRL8ShM8z2UI++c/z3yetbXcvp0vv1z2mPh2gmcBfvrTJJlOM5nk8uXENt6qEjwLcPRovve9PH6c+Tx//3si+FUleBZg3768/fa4vP/wwzx8uOwB8S0Ez3MZZvLXXsvbb49/XriQJ0+WOyi+leB5XvN5ptPxNn59PTdu5Pbt8TqrRvA8r9ksSd56K3k64V+8uMzx8D8Inuc1RH7sWA4ezOPHSfLBB8sdEd9K8CzGkSP58Y/H3xcuWM+vKMHzvIYZ/ujRvPnmeOWDDzyWW1GC53lNJtnZyauvjjP8ZJKbN7O1pflVJHgWYNi3++EPxz8fPx5fvxmuszoEzwIMk/mpU9m/P/N5Hj3KRx8lnsytHsGzAEPwJ0/m+99Pkp2dfPhh5nPBrxzBswDPZviNjfHK8DEMwa8awbMA02m2t/Od7+SNN8YrX3yRBw+yvq751SJ4FuO/9u22tnLpUiYT+3arRfAsxnSaJJubefXVJLlzJ5cuJfbtVozgWYzhNv7MmRw6lCT37+cf/0gEv2IEz2IMW3Sbmzl4cLwyfPqGlSJ4FmM6zc5ODh3K0aPjlZs38+iRfbvVIngWZnjwvrk5/nnjRj7/3L7dahE8CzN8xPLcuXED78aNXL+euI1fJYJnYYZ9u3PnxpNn7twR/MoRPAszBH/+fPbsGSf5zz5Lnj6xYxX4p2BhhuCPH8+RI+N9+5Ur2d7O2ppJflUInkUa9u1+9rPxzytXxoNoBL8iBM+CTSY5f378ffmyk6dWi+BZvCH4V17JrVtm+NUieBZvWNIP795duTL+ZhUInsV7440cPpzt7STjlzBs1K8I/w4s0jCT79mT8+fHjfqPPx6PmrOqXwWCZ/H27h1Pnkry0Ud58GCpo+EbBM+CzefjC7ZJ9uzJtWu5d2/ZY+IpwbNgw9L97Nnk6b7dxx8vd0R8TfC8EMePZ//+8ai5CxcSG/WrQfC8EAcPZnNznO2HQylYBYJnwYaZ/PDhnDkzXnGY7OoQPAs2fPFi797xxPjpNFevZmtr2cMiieB5EXZ2knx9tuTjx06eWhWCZ/GGVf2JE9m7Nzs72d4e9+0Ev3SCZ/GeBX/q1Ph7eDIn+KUTPIs3vDm/sZGNjcznmc3yt78lgl8B68seAC+hySQ7OzlwIG+9lU8/zbvv5p13Et+6WgGTuf91eQGGF2wfPMiTJ9m/P2tryx4QSQQPVayxeLFMKCtF8LxYXqFfKYKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKn23ye+XzZg9g968seACzVZLLsEewqwVPs3//O3bvZvz+vv561tWWPZjdY0lNpZydJ3n8/p0/n7Nlcvpwks9lyB7ULBE+l4b79xo3MZtnezvHjScXyXvBUGibzzz9Pktdfz3e/m/lc8PBSG4I/dSpJyV694Okzn49bdP/6V5L86EfLHc5uEjyV1tZy/37u3k2S06eTihv4CJ5Gw+r91q189VXW18fgOwiePsOO3dWruXgx29tVwXvxhj7DDfzmZv70p1y5krNnk5Yl/WTesTkJxJIeqgieVvfu5c6dksfvzwieMkPhjx7lD3/Ir36Vv/512QPaVYKnzBD81lbefz/vvZdPPln2gHaV4Kl0717u3cv6es6dS1req43gqTO0ffdubt7M9nZOnPj6YgHBU2lrK7dvZ309hw4teyi7SvBU+vLLJNnYyGuvLXsou0rwlJlOk+SLLzKZ5MSJ7NuXtLxmF8HTZfjKxWyWTz/NfJ7jx8fgawieJsNMPpvlBz/I6dM5d65tSe9deihihqfPfJ7Hj7O93fM07hkzPBQxw9NkmN4++SS//nX++MfcuvX1xQ6Cp8+FC/nLX/LnP+f27UTw8LIadumvX890muPH216zi+BpdPVqZrMcO5bDh5Oit24ieOrM57l2LUmOHcsrr2RnR/Dw8prN8tlnSXLsWPL0VMkagqfMzk6uXs1kMgbfNL1H8BQZduOvX8+9e5lMek6M/SbfpafM1lbefDN792ZjY9lDWQJv2lHm0aP885/56qtsbubAgZJTop8RPBRxD0+ryqnOPTw1htX7e+9l37785Cc5cqRtPR8zPEWGKf03v8kvfpHf/z5JtreXO6LdJ3g6zGaZTnP3bra3M5nkzJmk7plcBE+Xa9dy/37W1sbP0QseXk7Dev7GjTx8mAMHxofwgoeX0xD8lSt5+DCzWU6eTBqDt0tPh6HtEyfyzjs5ejRHjox39WW8eANF6v6Ho9pslidPMpstexxLY4aHImZ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPIfeE8f6UabK30AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJKklEQVR4nO3dQY5cVxmG4a+qy8F2uh0nbWyBDUYIFCJlAyAWwA4QzFkLA0YIiTXAChiEQcQSGKAIJRAnBFASt7vttLCT6ioGt2gHmLr6tOp7nlGpRr8svz7n3nt8a7ZerwN0mI8eALg4gocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocii9ED0G69zmqVJLNZ5hagLZut1+vRMwAXxArPYJ98kj//OaenOT3ND36QO3eyXmc2Gz3WjhI8w6xWmc/z+9/npz/dfPO73+VHP8rZWRb+Ym6HP1eGmZbxw8Ncu5azs6zXefZs9Ey7TvAMdniY1SrLZVarfPZZkrittD3uijLY4WHm881q//hxEhfwWyR4hpnCvnUr8/lmVT8+fv492yB4Btvfz1e+sgn+5CRJ9vbGTrTLBM94h4fPV/jpEI7L+C0RPOPdurX5cHyczz8fOsquEzzjHR5uPjx6lH/9a+gou07wjGeFvzCCZ7wvBz+dvXENvyWCZ7z/D54tETzjTdfw83mOjvL06ehpdprgGWnauk/B7+1luXQNv12CZ7yvfjXJ5u0Xp6djZ9lxgme888dySR4+HDdHAcEz3sFBks0Zuyl477raEn+ujHflSvb3/yt4tkTwjLdY5NatnJ0lydHR6Gl2muAZb7HIq69uPj98uFnq2QbBM95i8fy+3cOHWS6HTrPTBM94/xP8tLdnGwTPSNPLba5c+a8t/RS84/TbIHjGm8/z2mtJMpvl6MgKv0WC51I4P11rS79Vgmewaes+rfDzeb74wjswtkjwDPbl4Ceffjpqlt0neAabgr9x4/lnh+22R/BcClevJtlcvVvht0fwDDY9mbt2LQcHmzN2gt8ewXMpXL2aV17ZfBb89gieS0HwF0PwDHa+pb95c/ONm3bbI3guhS+v8ILfHsFzKVy9aoW/CILnUnjppecr/CefDB1lpwme8abH7+cr/JMnOTvzK/FbIXgGm802j9+nw3bzeVarHB8PnWl3CZ7L4vx07dnZ5smc/xL/wgmey2J6WfUU/HTfTvAvnOAZb7pc39/fvI7+PHheOMFzWRwc5OWXk2S18rLqbRE8400r/MFB9veT2NJvkeC5LPb3Nyv8ep1HjzYfeLEEz3jn1/DXryfJep1//nPsRDtrMXoA2Dg4yM2beemlLBZ+JX5bZmvbJkZbrzObZbnMH/6QJ0/yta/l61/PvXub73mBBA9FbOm5RM5/RnI2s7ZvhRUeirhLD0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UET7f1Ouv16CEuzmL0ADDUbDZ6ggsleIp99lmOj/Pyy7lxI3t7o6e5CLb0VDo7S5K33879+3njjbz7bpKsVmOHugCCp9J03f7RR1mtslzmzp2kYnsveCpNi/nf/pYkN27k5s2s14KHnTYF/81vJim5Vy94+qzXm1t0n36aJN/+9thxLpLgqbS3l9PTHB8nyf37ScUFfARPo2n3/vHHefIki8Um+A6Cp890x+7Bg/zpT1kuq4J38IY+0wX866/nV7/Ke+/ljTeSli39bN1xcxKILT1UETytTk7y6FHJ4/dzgqfMVPizZ/nFL/LjH+e3vx090IUSPGWm4B8/zttv56238s47owe6UIKn0slJTk6yWOTNN5OWc7URPHWmto+P8/e/Z7nM3bvPvywgeCo9fpyjoywWefXV0aNcKMFT6eHDJLl3L9eujR7lQgmeMvN5kvzjH5nNcvdurl9PWo7ZRfB0md5ysVrlL3/Jep07dzbB1xA8TaaVfLXKt76V+/fz5pttW3pn6aGIFZ4+63U+/zzLZc/TuHNWeChihafJtLy9805+8pP88pf5+OPnX3YQPH3++Mf85jf59a9zdJQIHnbVdJf+ww8zn+fOnbZjdhE8jR48yGqV27fz2mtJ0ambCJ4663U++CBJbt/OlSs5OxM87K7VKn/9a5Lcvp3851clawieMmdnefAgs9km+KblPYKnyHQ3/sMPc3KS2aznF2O/zHvpKfP4cb7znVy9mnv3Ro8ygJN2lHn2LO+/nydP8vrrOTgo+ZXoc4KHIq7haVW51LmGp8a0e3/rrVy/nu99L4eHbfv5WOEpMi3pP/tZfvjD/PznSbJcjp3o4gmeDqtV5vMcH2e5zGyW7343qXsmF8HT5YMPcnqavb3N6+gFD7tp2s9/9FGePs3BweYhvOBhN03Bv/denj7NapVvfCNpDN5dejpMbd+9m+9/P7du5fBwc1VfxsEbKFL3LxzVVqt88UVWq9FzDGOFhyJWeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyb4sy8QCmYe8uAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [66.53287233259633, -159.85749859110317, -5.721659479912925])", "action": "('move', [66.53287233259633, -159.85749859110317, -5.721659479912925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [66.53287233259633, -159.85749859110317, -5.721659479912925])", "action": "('move', [66.53287233259633, -159.85749859110317, -5.721659479912925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "23cde230daecf86f2baf37479238107490a7a1b52562523ea3523e3a6517552d"} +{"episode": 85635, "episode_seed": 2807809864, "split": "train", "timestamp": "2025-09-16T00:20:39.077974", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2807809864, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1235163671581834, -2.663950733431012, 54.475230925398854])", "action": "('move', [3.1235163671581834, -2.663950733431012, 54.475230925398854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1235163671581834, -2.663950733431012, 54.475230925398854])", "action": "('move', [3.1235163671581834, -2.663950733431012, 54.475230925398854])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALqklEQVR4nO3da4gV5QPH8d/MnDXvmmtaWqYiEUEpXhYpJcXQCK0wBIUMs1KK6MZqZUUEpZKQZChkYZImGBGaEcUqEYmZhbfMSjMpwwpDTDFX95wz/xczudv+18uquWfO7/vBF+vxzSye73nmmeeZOUEcxwLgIWzpAwBw8RA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvClq1BQsdjSB4HyQvAlKp9XFCkMFcctfSgoIwRfonI5ff+9Xn5ZW7ZIUqHQ0geEskDwpej4cb34om6/XU8+qTfe0IkTCgKGelwAQcz7qMTEsQoF9e+vnTvVurUqKrR2raqqVCwq5PMZ54d3UCnK5bRggYJA+byOHNErr6iujkEeFwDBl5wgkKSbb9a4ccrnVVGhlSu1cWP6OnA+CL4UxbFyOc2cqTZt0leee44lOlwABF+iikUNGqSJE1VXpyjSZ59p1SoFAdnjvBB8KUqm661b64EH1K2b4lhBoNmzVVvLTB7nheBLVBSprk5VVRo/XsWiokhbtuitt9IrecC5IfjSFYaKIj34oK68Mt1mu3ixDhxQLsc+HJwjgi9dUaR8XjfcoAkT0r9u3aplyzirx7lj401JS/5z9u9XVZV++01BoL59tW6devViHw7OBW+ZkpasvffsqYcfVhwrDPXjj1q+PL2Mx2c1mosRPgOKRR05ooEDtXevokjt22vbNvXqlWYPnD1G+AwIAnXqpGefTQs/dEjz56evA83CCJ8BJzsfM0abNikMVVGh7dvVr5+CgOzRDIzwGZBssOvcWY8/rooKhaGOH9fzz3PRDs3GWyYzikXddptGjlQ+rzDU6tXasEFBwJo8moHgsyEMVSyqY0dNn6527RTHOnZMc+em/8q0DGeJ4DMj2Ydzxx0aMSJdoqup0Zo1iiIGeZwtgs+M5PpcFKm6Wu3bS1JtrRYuVG2tooi76HBWCD5LkrBHjNCtt6Z31HzyiT74gAv1OFssy2VPHOu77zRokOrqVCioqkpr16pDBzbb4sx4g2RPEOi663TffSoUlMtp0ya9/376OnB6jPDZk/yP7d2rIUN06JAk9e6t7dvVti3N4wwY4bMnqbpvXz36aDqT/+knLVzI7TQ4M0b4TCoUFEX6+WeNGqU9exSG6t5d27fr0ksVhozzOCVG+ExK1t6vvlrTp6ev/P675sxhTR5nwAifVcnC+8GDGjlSO3ZIUs+eqqnRtdem5/nA/2OEz6pks23Xrpo+XWGoMNT+/fUzeT7G0SRG+AxLwi4WNWSItm2TpMpKrVmjoUPTST7QCCN8hiUX53I5zZqlOFYU6c8/9frrqqvji+XRNEb4MnHTTfriC4WhWrXS2rW68UYegIUmMMJnXnJi/9JL6ZCe3DZbKLAsjyYQfOYld9ENH67x49PNth9+qE8/benDQknilL4cJLfNbNyo4cMVxyoUNHSoNmyQ2GCPf2OELwfJ2fvgwbr3XhUKCkNt2pR+Rw37cNAQwZeDJOxcTtOmqbIyfejl/Pn66y/W5PEvBF8mkk21gwdr4sR0kN+5U0uX8s2T+BeCLxPJXD2O9dhjuvxyxbFOnNDSpfr1Vx6AhXoEXz6SQb5fP02ZojhW69baulVLlrA+h3oEX1aiSHGs6mp1767aWnXpoqNHdeJE+jrAsly5STbYLVqkjz7SU09p2LD6FwGCL08nH2jJXTRoKNfSB4D/RLIyl9xRA5xE8GUrCHhqNRoj+PLEjB1NYggAjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8cIEUiyoUWvogziDX0gcAlIU4VhhKUrGY/lCSSvfIgMwoFhUE+uMP7dpVyrWL4IHzlQzpx47piSc0dqxqaiQpjlv6sJpG8MB5SM7kCwXNmKEVK7R7t9avb+ljOh2CB85VMozHsZ5+WgsXStK0aZo1S5KCoCUP7NQIHjhXydT9hRc0b54kTZyo+fN1ySUlez4vKYhL+OCA0hXHCgLNm6eZMyVp7Fi9/bY6d66/XF+SCB5ovnxeuZxee02PPCJJI0Zo5Up161bia3JiHR5otmIx/WHgQPXooe7d9d57qqws/drFCA80z8mqkx927FBlpa64IhO1i+CBZigUFEXaulXXXKO2bdNpvFT/Q8nLwGcSUBKS2tet0+jReugh7dunOE5P7zNSuwgeOCtJ7evX6557dOCAamqUz2fiHL6R7B0xcLHl84oiffWVpkzR/v267DKtXKk+fbIyb28oY4cLXGzFonI5ffutpk7Vnj3q2FHLlmnYsBJfbz+V7B0xcPEkVf/yi6ZO1Y4d6tBBS5dqzJgMXaVrhKv0wGkdPapRo/Tll2rfXosWafLkdEdtNoNnhAdOIY7TP/37q1UrzZ2ryZOVz2e3djHCA01otMBeV6eNG9N5e5ZrF8EDjSXX3g8e1OHD6t07u9P1JnFKDzSQ5J3Pa8YM9e+vjz9Od9cUi6V80+vZI3iggWTnXHW1lizR4cOqqam/RFcW4zyn9MA/kpP5WbM0Z44kTZqkN99UmzZSljbPnh7BA/88rCoINHu2nnlGksaN0/Ll6tixzObwBA/8s3n21VdVXa1CQbfcolWr1K5duoW+jBA87CVVv/OO7r5bkoYN0+rV6tIli1vlz4gn3sBbcpUujtWjh666Sl276t13y7V2McLD2sn5eZL311+rslJ9+rT0Yf2HCB6uksg3b9b116uion5IL6+rdI2U4UkLcGbJ4ys+/1x33qlJk3TsmMJQ+Xy66l6+mMPDT/KQ6c2bdf/92rdPf/+tH37QgAEKw7KctzdU5r8e0FgcK5fTrl2aMkW7dqlLF61YoQEDMvpAi+Yq/98QqJfMz3fv1oQJ+uYbdeqkxYs1enR5z9sbInhYOnRIkhYs0F13pbe4e+AqPcwkg/nmzdqzRxMmqFBQGBI8UL4y+AUSFwpX6eEnCOrvljFD8LDkl3qCi3aAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gdLqilUsN9vpAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1235163671581834, -2.663950733431012, 54.475230925398854])", "action": "('move', [3.1235163671581834, -2.663950733431012, 54.475230925398854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ffa74e029aa16d33cff5ebba74a847f1a27b1260cbb39bfd4d536389c851ac82"} +{"episode": 85636, "episode_seed": 1011384319, "split": "train", "timestamp": "2025-09-16T00:20:39.680002", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1011384319, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.738009565188449, -9.604523279960551, -20.003854941843258])", "action": "('move', [-11.738009565188449, -9.604523279960551, -20.003854941843258])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.738009565188449, -9.604523279960551, -20.003854941843258])", "action": "('move', [-11.738009565188449, -9.604523279960551, -20.003854941843258])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.738009565188449, -9.604523279960551, -20.003854941843258])", "action": "('move', [-11.738009565188449, -9.604523279960551, -20.003854941843258])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJklEQVR4nO3dX2hW9QPH8c959kynOHErL6LE/jgceRERIVEUmYGM/tGQWhrBwEyJVmZZoyxnMV2Sbs3CJmhlF0FYRiKRMzFaUGZ/LsYkQ0vWnwsTKZq153nO7+KcPVv6c/lve/583q8rQS+OsPe+3/P9nvM9QRiGAuAhkesLADB6CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASPJXF9Anspk4j8k+JWIIhKEYZjra8hrqZSS/FZEsWD8OlEYKpPR4cNasUKHDimZVDotfiuiOBD8icJQiYSee07PP68779TmzSopURAMTvKBwsWU/l+iCfz776u2ViUl6u9XaalqarRqlaqrJSmTURAoCHJ9ocBZYYT/l6jkMWM0dar6+yUpnda2bZo5U6tX66+/lEgoCJRO5/YygbPECH+iMFQQ6NgxLV+ut97S0aNKJpVKSdLMmWpu1s03S1J/v5JJhnoUGIIfTmenmpvV2SlJY8bon38k6ZFH9PDDqqqK7+rZt0MBIfj/LwyVSqm0VH196uhQS4t6e5VMKgyVTuvKK9XQoAcfjP8l4zwKBcEPJ7sJ39OjlhZt2iRJpaXq71cQaM4cvfiirr5aUrxvR/nIcwT/H6Jt+ZISpVLasUNPPqmeHknxjf2kSWpo0NKlmjBBktJplZTk9nqB4RD8aclk4nv1P/5QU5M2bdKRI4OLeVddpZYWzZ6tRILFPOQ1gj8D2dv1ri41Nemjj6SBGb6khx5SQ4OqqwcnBUC+IfgzFs3b02lt2KA1a3Tw4OBi3rRpevRRLVqkRILpPfIRwZ+NdDp+AqenR21teu01aci+3a23asUKXXedxGIe8gzBn6VoSI9erdm1S0uX6rvvpCGLeQsWaPlyFvOQXwj+nGQX844fV3Oz2tv1++/xhF/S9Ol66SXNmaPSUqVSSiR4Sgc5RvDnauikfd8+LV+u7dulITP8+notWaIZMySGeuQawZ832Zg7OrRunbq74yE9ldIll2jJEi1apLIyTtRALhH8+ZROKwiUSOjAAbW3q7VVGrJvN2uWnnkmfveGB3KREwR/nmUfwpe0e7eWLdMXX0gDi3kVFZo3T01NqqiQhiwBAKOD4EdEtuS+PrW2as0aHTkyuJh32WVqadEdd2jMmMFJATAKCH6kDF3M6+5WY6O2b1cqNbiYd999amyMF/O4scfoIPgRl71df+MNrV2rb79VECiZVH+/Jk/WE09o4UJNnKhUKj48Dxg5BD8aMhmFoUpKdOiQXn1VL7+sdHpwqL/xRi1bppqaXF8lDBD8KBm6mPfZZ2ps1J490sAa/sSJuvdevfCCJk9mAR8jiOBHVfbQ274+vf66Vq7UkSNKJOLTsqZM0erVqqtj9R4jhR+rURVlnMlo3Dg1NOjLLzV3bjzsjxunw4fj8/MkPn2BEcEInzPZqfvbb2vdOu3dq8sv186dmjo1vuEHzjuCz6XsURm//KK2NlVVqb6e5+0xggg+97Kb8Jx7jZFG8HmB1DE6CiR4j60qj/8lcqkQxhSb77ZSO0Za3gcffb1ZUiqlMGS3CjgX+R18NMf9/HPddJM++URBQPDAucjje/jowo4e1dy52rVLV1yhzs54k5q5L3BW8niEDwJlMpo0SY8/rvJy/fCDFizQ33/n+rKAApbHwUtKJBSGqqnRqlVKJvXxx3r6aQVBfD8P4Azld/DRWTDptBYvVn29JK1frzffVDLps3QPnEd5fA+fFS3OHzum225TV5cqK7Vtm264gWdQgTNVCMFrYLl+/37NmqWff9Ytt+idd1RZObhpB+A0FEgt0QLe9Olqb9eMGVqxQhUV8TkyAE5bgYzwkWicj941yZ4RwWERwGkrqFSi7ffo48zRJ1327YtX8gGchoIKPhIdE3XwoObP191365tvFATxge8AhlWAwUfjfDqtDz/Ujz+qoSH+yAMbdcB/Kczgw1DTpqmjQ6Wl2rNHTz0V/xVze2BYBRi8Bgb5ujo99pgkbdyotWvjR3QAnFpBrdIPFV328eOqrdWOHSov19atmj2bV2uAYRRs8BrYkDt8WHPmqLtbVVX64ANVV9M8cCqFOaWPRHP4KVPU2qoLL9T336urK9fXBOS1Qh7hNeQDTm1tKi/XPfdo/Hi+wAycSoEHf7LsfJ4n8ICTFFES0Ut1QaD33tPevTyBB5ysiIKPBvbNm1Vbq/nz9dtvnIEHnKCIgo+G97FjNXas9u/X4sXxzTyAAUUUfPQKbV2dnn1WkrZu1cqVktGx9sB/Kq5Fu+yK3f33a8sWlZVpyxbV1nI2DhApruAlpdNKJPTrr7r9dn31lS6+WDt3qrqaRXtARTWlj5SUKAx10UXasEGVlert1bx5OnBAYm4PFF/wkhIJZTK65hq98ookTZqksjJ26QAV4ZQ+K1qi375d11+vysp4Ss9j9vBWvMFryBre0MPwaB7GinFKnxU9eBP9Ruvu1sKFOnCAp3HgLJnrCxgVqZTmz9fXX+unn/Tuu5owgbdr4KnYf+ij8TyZ1AMPqLRUnZ1qamJPHraKPXhJQaAgUEOD6usVhlq/Xps2cR4WPBX1ot0J/vxTNTX69FONH6/du3XttTyBBzcGI3wkDDVhgjZu1LRpuusuXXopy/Uw5DTCR3p7dcEFKisjeBjyCz5C7bBkM6XPir45S+2w5DrCA5b8RnjAGMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wOQBzEaPmdQvgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI9ElEQVR4nO3dTaxcZR3H8f85M1NamxDYSeKGNBJflg0KokhY8CI0IkgBSWqhtICRNIGECCxIihADdQOmRqByfYGYQEqIkmINCIjGyIqgCwLuSCkJFI1AbWfmHBfTFjQIUhPuy+/zWd3kbp7FfO//OWeec27T930BGdr5XgDw0RE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BFnowfd99f18LwKWigUd/Kz2pnnnZ+D/saCDb5pq29q2re6/v5qmum6+FwSL3HC+F/DeZsP8tdfq9ttr69Y69th+1armpJPeGfjAEWj6BblRnoW9Y0ddcEENhzWZ1CdXdU//rvn4cY3m4Ygt0C39LOnTT6+1a2syqdGoXvxrc8WGru/UDkdugQZfVV1XxxxT39/af+ZT3Xhcw2Hz6M7BjTf2VTUeu4EHR2KBbulnptMaDOoPv+/PPbf7+z8GTdVgUHNz/SWXNJNJDRfo/QdYuBbuhK+qwaC6rr5wSrN1azsc9G1bk0l/7bX9c8/1w2FNp/O9PlhsFnTwVdU0NR7XNy9rNm2s8biaptmzp7l8fffKK33b+qIOPpwFvaWfmS1w39v1lbO6p55ply2rAwdq/fq6554aDKrKbTz4Xy30CV+Hev7YyvrJz9pPHDc9cKBGo5qbqzvvdBoHPpxFMOFnZl+/P/FEnXde//bbTddV29ajj9aZZ9bsZ+ADLaZQuq5OP722bGn6vmY37S6/vF54wcU8/K8WTfBNU01Tk0ldeWVdemmNxzUY1O7ddfVVtXdvVWkePtiiCb4OPUuzfHnddVd97sRuOu2XL6/fPlVbtvRtW03jNA58gEVzDX/Y7DTO88/XGWf0e/Y0w1FNxtMf/bDZdFU7+xXw3yy+4OtQ8w892F9ySVXTTCa1cnm389fNl05t3MCD97Eo4xgMqu/r6xc2N97QTybdcFhv/bPddGXt3q12eD+LcsLXoRfgTCZ18drpw4+0o1EzHte553Q7Hm4HA9nDe1usZcxu2i9bVj/YNli9usbjOuqo+tWjzc03V9vWdOoGHryHxTrhZ2YX808+2V94YfP669UOqpvW3FytW1fjcY1G870+WGAW64SfGQxqMqnTTmtuu62qqm2qqm66qZ59tkYjj9PBf1rcwVfVcFh9Xxs31ubNB6f6yy/X5s393r3Vtjb28G8W95b+sK6r/ftrzZp6/PHZO/C6b1zc//yBwewEvsfpYGbRT/iZpqkVK+ruu2vV8f1kUqNR+8Av2tu/1xny8G5LZMLXoRt4j+3sv7qmO9AN2qZGo3rowTp3TTmBBzNLZMJX1WBQ02mddXZz+9ambbrhsPbvr2uu6V588eCvgKUz4ave2b1v3Nhv394sO6oO7O9P/WL3yC/bo49uqhzIId2SKmD2wFzf1623Np8/sT+wvwbD5uln2hu+c/AozhL64wZHYklN+JnZ8zN/+XN/2pe7194YjEZVfW3bVldc4T9VkW4JBl+Hmn94R3/+BX3TtFW1cmXt2lUnn+x9WERbmp/92UuvvnZ+c8stbd/XaFRvvlnr1tWeV5zGIdrSDL4OXc9fd12tXVuzF92+9FJdtr57663qOs0TaokHv2JF3XFHffbT3XjcD4f12K72u7cc/JZO8wRamtfwh82O3Pzpj/05a/o33mjbQQ2H/X0/rosuaqbTagflFh5Rlnjwdaj57dtr06ZqmppO+2OP6X6zq1l9YttNq3UCjyRLdkt/2Ow/Um7YUN/+Vjed1mjUvPG3wdVX16uvVjuwsSfL0p/whx3YX2efOXniqcGKFc2+fbVhQ91773yvCT5aS3/Cz/R9LTuq7vvp8IQT+n376vjj65RT5ntN8JELmvCzIzc7d9bcXF1/fa1efXA/7+wdOYKCn52ln05rOq3ly2syqeFwvtcEH62g4N/NAVsyJX7q+17thEr84LtoJ1Zi8BBL8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkX538IkC54LgzAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "afbb2408d4ddef810195a8b48164cb85961678c3769c2eff0174dc122fb5d59a"} +{"episode": 85637, "episode_seed": 1186897710, "split": "train", "timestamp": "2025-09-16T00:20:40.604381", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1186897710, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.484124900005061, -30.31367350928096, -26.463515920923765])", "action": "('move', [-7.484124900005061, -30.31367350928096, -26.463515920923765])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.484124900005061, -30.31367350928096, -26.463515920923765])", "action": "('move', [-7.484124900005061, -30.31367350928096, -26.463515920923765])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.484124900005061, -30.31367350928096, -26.463515920923765])", "action": "('move', [-7.484124900005061, -30.31367350928096, -26.463515920923765])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bc861abf5fbbe6c76b783a1922d2603d2f8c29a55a82568f69b1fd7521bf9439"} +{"episode": 85638, "episode_seed": 4046831953, "split": "train", "timestamp": "2025-09-16T00:20:41.202010", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4046831953, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.46543945367735, 19.37352094033466, 42.828920769985835])", "action": "('move', [8.46543945367735, 19.37352094033466, 42.828920769985835])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.46543945367735, 19.37352094033466, 42.828920769985835])", "action": "('move', [8.46543945367735, 19.37352094033466, 42.828920769985835])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ9ElEQVR4nO3dz4/U9R3H8dfMLhaQHw2YWNRlYdEm2pg2usXEYw9Nm/RkYrxqe/I/0P/AXnrojZu3Jk2ahngxTXpqGo8F12hqWwQBY2HdKLII7M5MD99vZ4Xg7iy2jl/ej0cImVkm5EOY535+fGdneqPRKEAN/WkPAPjmCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCZqc9AJIkg0GS9HrtL/j/6I1Go2mPgVt9+X9E/PxPmeGnbThMv58TJ7KykmefzVNPZe/eOz9yNMpoZAnA12GGn7bBIL1eFhZy7lx27MiePXnssTzzTH784zz9dObmsmfP7YUPBhvl65/tEPxUNd1euZKXXsrSUi5fzqef3vKA557L73+ffj9JVlZy7VoefDD33bfxgMEgw2F27PgmR013WdJPVTM579uXP/whly9naSlLS3nvvZw9mwsX8u672bcvMzNZX8/MTH7zm7zxRhYX8/jjOXYs8/OZn88DD2RmZuMvHA7bPYKZnzsxw387rK9n9kvffG/ezJkzeffdLCzkRz/KaJS1tTz5ZN5/f+Mxc3NZWMjRo1lczIsv5v772/XC2HC4cVf8JBH8t8hwmNEow2GSOyzRh8P89a/5299y6lT7+9jx4/nTn7J/f5L85S/585/z05/mySc3O/xr+C5Qj+C/lZrymxn7yyv2JGtrWV3NZ5/lnXdy6lTefDM//3lefbX905dfzokT2bs3u3fn2LEcP57FxRw/nkceyc6dtxferP97vXYLQAGC744mzk3KvH49r7ySkyezspIrV275o+9/P6dPZ+fOJFldzbVr2b//lsM/ahB8B91xTT7ewF++nFOn8vbbWVrKuXO5cCFnz2ZhIX//ewaDzMzk9ddz4kR+8IP88IdZWMjDD2duLgcPTuEfwjdO8PeW5oh+7ObN/OMfee+97NmTn/0sN2/mvvvy3HP54x83HnP4cH7xi/z2t7fvHbgXCf6e0+z/myOA2xbtzbeDt97KW2/l9OmcOpWlpYxGeeGF/O53tvEVCP6eNj78S2657Jfk+vV8/nk++yynT2d+PouLUxkg3zDB17Pl4R/3LsFX5WfySvLS2qpEXpJ3vIFCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkNlpD6B7RqP2Rq831XHA9gl+23ROd1nSb0Mzt1+9muXl3Lgx7dHA9gl+G4bDJPn1r/OTn+SXv8xrr218ETqhNxpvSdnUcJh+P2tref75nDyZJI89lvffz2CQmZlpDw4mYw+/PZ98kuXl9Pvp9bK4mNjS0ymCn1SzElpZyccft8v4w4enOyLYNnv47WmCbxw9OtWhwPaZ4Sc1nuFXVzMzk9EoCwuJJT2dIvhJNWH/+98btx99dJrjgbtgST+R0Sj9fpKcP58kw2F2785DDyVmeDpF8JPq9bK2thH84cPZsWPaY4JtEvw2rK7mww/b2wsL7ZwPHeI5uw2rqzl3rr3dnNhBtwh+Is0R/bVruXixndiPHZvuiOBuCH4izcncp5/m+vV2695chPe6ZLpF8NswXs8nmZ+f3jjgbgl+Is0Mf+ZMkqytZffu7N8/3RHB3RD8NnzwQZIMh5mfz65d0x4NbJ/gJ7W+3s7wSY4cETydJPhJra+3M3ySubk2eC+zo1sEP6m1tZw9277Xxfx8+/Mz0C2C31oT9sWLWVtrL8I3R/Te3IrOEfyk/vnP5L+RP/jgdMcCd0nwk2pO7AaD7N2b7353yoOBuyP4SY2P6B96qA3eiR2dI/itNXv4cfCHDgmerhL8pP71r/bGOHjoHMFvrd/PjRtZWWnvHjqU2dkMBmZ4ukfwW2jW82fPbny21KFDSTIYTG1IcNcEv4Vx8DdvJkmvl+99L4m3u6GTPG230Fx4H8/w+/a5CE+HCX4i585lfT1JDhxog7eBp4sEv4Xxkr5x4EC7hxc8XST4LTRhX7zY3j14MA88kOFQ8HSS4DczGmV2Nl98kStX2q8cOJBeL+vrgqeTBL+Z5sTu/PmN4B95ZIrDga9L8JtpNvAffZTPP0+SmZnMzSWuydFZnrmbGf8kfDPD79rVfia89TwdJfitXbzYXoS///42eOgowW9mPMM3du9u3+vGDE9HCX4zs7NJcvlye3fXrhw8mMHAHp6u8sz9SsNh+v1cvZpLl9qvNC+58d6VdJfgt3Dp0sYM33yApPU83SX4r9TM5MvLGzO8j4im6wT/lcbBLy8nyexsjhxJzPB0meC3sLyc9fX0+5mZaT8iWvB0l+C/UhP2xx+3t/t9e3g6T/B3Nhq1HybVfCb8YJA9e3LgwLSHBV/P7LQH8C01nsZ/9as88UTOnMl3vmNup/N6I5eVoQwz/Ba+/P3QDE/XCX4LIude4tAOChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8h/WVRZ/GaI8MgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.46543945367735, 19.37352094033466, 42.828920769985835])", "action": "('move', [8.46543945367735, 19.37352094033466, 42.828920769985835])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALA0lEQVR4nO3dX4hUZQPH8d+cMzNK7SpRUlgmrbxpiWm5GaT9UXDT1CShuqgltUASUQNBzYy26KIuugiCxIKgCymMkCBM2IrKDCLabct1+6eS9m9NVs3FnT/nvBdncFOklxdn5kz+vh9EcGeQI873PM95npkzmTiOBcBDkPYBAKgfggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjCSTfsAIEkqlyUpk6n8AmojE8dx2seAM/39f4T4UVWM8GmLIgWBtmzR0aO69VbddJOam8/9zDhWHDMFwPlghE9buaxMRi0tOnhQuZyamvSf/+iWW3TzzZo+XePGqanp7MLL5eHy6R//D4JPVdLt8eNatkw9Perv18DAGU9YskRvvaUgkKSjRzU4qMsvVz4//IRyWVGkXK6eR41/L6b0qUoG51Gj9Pbb6u9XT496etTbqwMHdOiQ9u7VqFEKQ5VKCkO9+KLefVetrbruOk2YoPHjNX68LrtMYTj8F0ZR5RqBkR/nwgjfGEolZf928i0U9NNP2rtXLS2aNk1xrGJRU6bou++GnzNunFpadM01am3V0qW6+OLKfOG0KBr+I/FDEsE3kChSHCuKJJ1jih5F2r1bX32lrq7K76fNmKFduzR6tCR98ok6O9XWpilT/mnxL8FZwA/BN6Sk/GTE/vuMXVKxqJMndeyYvvlGXV3auVPz52vjxsqjjz2mLVvU3KyLLtKECZoxQ62tmjFDV12lkSPPLjyZ/2cylUsAGCD4f48kzn8o89QpbdigHTt09KiOHz/joWuvVXe3Ro6UpJMnNTio0aPPWPyDB4L/FzrnnPz0BXx/v7q69PXX6unRwYM6dEgHDqilRX19KpcVhnr9dW3ZosmTNXWqWlp05ZUaN06XXprCPwR1R/AXlmSJ/rRCQd9/r95eNTVp3jwVCsrntWSJ3nln+DlXX62FC/XSS2dfO+BCRPAXnOT6P1kCOGvSnpwO9uzRnj3q7lZXl3p6FMd64AFt28ZlvAOCv6CdXvyTztj2k3TqlE6c0LFj6u7W+PFqbU3lAFFnBO/nfy7+4cJF8K74TJ4l3lrrisgtcccbwAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIvvriWHxhHxoTwVdT0nny1aw0jwZE8NWUyahYVEeHXn2V5tGI+PbY6ohjZTL64Qdt3Kjt29XUpOnTdeONlZ8DDYIRvpref1/btyuX019/acUKnTihKGKcRwMh+KqJIi1dqkWLVCwql9MXX6ijQ2FI8GggmZjXY5WUywpD9fVpwQLt368wlKQ339S991ZOAUDqGOGrJgxVKmniRG3erExGUaRiUZs26ccflcupXE77+ACCr65sVuWyHn5Yy5erXNaIEert1VNPqVxm0R4NgSl9lSXL8gMDmjVL336rMFS5rJdf1sqViiIFnGCRKoKvvqT5Tz9VW5sKBUm65BJ1duqGG9ilQ8oYcaovuYCfNUubN1cm80eOaMUKDQ0xsUfKCL4mkubXrtU996hUUj6vzz/Xpk2SWL1DmpjS10qyS9fdrQULdPiwgkAjRmjbNi1eXHkIqD+Cr6FSSdms3nhDjz4qScWiJk5UZ6fGjmUBD+ngRVdDyRJ9e7seekiFgoJA+/Zp3ToNDvIRWqSDEb62krCPHNEdd2jfPuXzimO98oqWL2fFHikg+JpLZu8ff6w5cxRFktTcrM8+0+TJNI96Y0pfc0GgKNLtt+uZZxTHyuV0/Hhll46TLeqM4Osh2X5fvVpz56pQUDar3bv19NMKAnbpUFdM6esk2Yrbu1dtbfr1VwWBwlA7duiuu9ilQ/0wwtdJsmJ//fXq6FA2qzjW0JDWrtX+/cpkGOdRJwRfP0GgYlHt7br/fpXLyue1b5+efVYSb7lFnTClr6tkWf7PPzVzpvr6lMupVNLWrXrkESb2qAeCr7ek+Q8+0Pz5iiKVShozRp2dmjKFXTrUHFP6ektm73PmaMOGyntv+/u1ejW7dKgHgk9HFGnDBs2eXWn+o4/03HOVHXugdpjSpyN5+113txYu1OHDCkNls9qxQ21tXMyjhhjh0xEEKpU0daqefLIykz91SuvW6fffFYaM86gVgk9NEvaKFWpvr9wko6dH69erWOTrK1ArTOnTFEXKZHTokObOVV+fgkBxrNde07JlTOxREwSfsuRifudOLVpUGdXHjtWuXZo0iV06VB9T+pQlo/q8eVq/vnLHy59/1qpVldvdcjZGdRF8Q4gibdxY2aXL5dTZqeefr9wJE6gipvQNIZnYd3Vp9mwNDCgIlMtp507deSd3v0M18VJqCMkH5qZN0wsvKJ9XNquhIa1cqT/+4LN0qCaCbwiZTGVnvr1dS5aoUFAYqrdXTzyhUok7XqJqmNI3kHJZQaBfftFtt2n/fuXzCkNt3aoHH2Rij+og+MaSbL+/954WL1YUKYp0xRX68ENNmkTzqAJeQY0luTHO3Xfr8ccVRRoxQr/9plWrNDhY2cADzgfBN5xkGO/o0MyZGhpSGKq5WUNDaR8WLghM6RtR8h67L7/UmjW67z6tWTP8Q+B8EHyDimOVShoY0JgxlbfcUzvOH8E3umTpntpRFdm0DwD/JIr4zByqiREeMMIqPWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPJfDOYWbL+n0foAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHhUlEQVR4nO3aUW9UZR7H8f+ZGbp0vaAEwZjIWutaILJ1gRY2u1fe+GJMfAG+De98HSZee2OyWFiggtLiElZiY8yyFhXWOJ1z9mLGlmJ3E5PVQn+fT3rT9MzpSU6+z3Oe50zTdV0BGXp7fQHAr0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEGSw1xeQrm1rNKqmqV6veoZffmFN13V7fQ1MjEbVddU0k/7h/84Mv2fatnq9Wlmp99+vU6dqYaFeemnHAY8NxU3za14d+5Pg98xoVL1effBBvf12HT5cMzP17JH2xHy3dL5/bqnOnqnp6V0+1bZVP8ZvCODn8ki/N7puMoG/+Wa9+241zdZ83vV6zW8O1vTB7tQrowt/GSwu1tJSHTtW09N14MCOk1gC8HOZ4fdMr1cPH1bb1tGjdX+j+2FYVU1V07b1/ff174fNhxcHH16cHHz8eC0t1blzdfZsHX+hO/Jsc/Ro9fvbZ9vcnKwRer3JEAA/ZYbfYxsbdeNGXV9pP/64u/N5/86d+sed7rsH3dYb08GgmqaGw61PdAen2tf+2Dv9h+bVV7u52W52rjc7W4cObZ9zNJrEPy5f/GwR/BOk6+r27br9Wfv327W61vvkk7pxo774YvuAwaB6/RoOq2snn6hqZ2d7c3PN3FzNz9fp03Xy5OObf2273bz4wwl+j3VdtW21bXVdHTiwI8ivv66vvqovv6ybN+vS5frbcnvtajeq7ef4fr9GbdUjN3DmUB09VseOdSd/Pzp3oX/mTHP2bE1N7f5/x+v/MgokEfwTZBzhOP7xk/yWzVE9+K6+/bZbXW0uXqyP/jq6tFz3NvrDH2rU7n6ywaB55pmanu5emRv96c/98xeaxcV67rmamtqx+K8fN/988yeB4J9Q49syHgLGq/GfHnDrVi0v1+XLtbxc6+u1sVEbG13bVtV/nbJffLHOn6/FxVpcrN+90B0+0szMPN4/+5jgnxpbN2rXJ/D79+vatVq52q2stHc+79+9W3fvdg/+5+bfb6dGr53rLyw0Cws1O1snTtTLL28/57MvCf4pNp7/xz+DnS9Y19bq1lp7a60+u9379NO6ebPW17f/OhhUv1/D4eRrPGNvvVXvvFPD4eNv+9lPvId/ij36yu2xzb/5+Zqfn8zt9+7V+nqtr9fqal25UlevtFevdZub/a2TDAbVtvX885Nf2cfM8PvQ1s5f11W/v2Mrbjisb76p+/e71dXmo+W6dLFdXu7++a/+wYP13nv1+uuTF/jsV4Lf57ae+at22/zranNUa2t1/Xq98UbNzFjD73OCz/Lo3RZ2IGv4LLtGPh4F9J9A8Eg9iP0ZCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIfLc6JsdLsVBIAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d53e45c9b409091719ce8b0ce1b742122acbf7964877af0532533322c62f08a8"} +{"episode": 85639, "episode_seed": 3530727228, "split": "train", "timestamp": "2025-09-16T00:20:41.800167", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3530727228, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.311703468288632, -0.6251598203179239, 11.630222403529956])", "action": "('move', [2.311703468288632, -0.6251598203179239, 11.630222403529956])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.311703468288632, -0.6251598203179239, 11.630222403529956])", "action": "('move', [2.311703468288632, -0.6251598203179239, 11.630222403529956])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.311703468288632, -0.6251598203179239, 11.630222403529956])", "action": "('move', [2.311703468288632, -0.6251598203179239, 11.630222403529956])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "997229396ae52fb322d79e774aa424a90377574b79fd2e4bf2b04ff182be12e2"} +{"episode": 85640, "episode_seed": 2962979579, "split": "train", "timestamp": "2025-09-16T00:20:42.719673", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2962979579, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [79.75147837394131, 136.3367456130386, -30.540978369261165])", "action": "('move', [79.75147837394131, 136.3367456130386, -30.540978369261165])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [79.75147837394131, 136.3367456130386, -30.540978369261165])", "action": "('move', [79.75147837394131, 136.3367456130386, -30.540978369261165])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKNUlEQVR4nO3dTYhdZx3H8d+5N5MXZ8Q2tZnUxi6kxYIr3ZRSESlUCw3dSBEEN10IIShCBVelFkEpWEUsxZeNIIq46aYribuCYq1ru4nYJrEx6iS0Tu3kzj0uznHSVJPazsF75v4/n9WZyyyeGeZ7n+c5L3eatm0D1DBZ9ACA/x/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMHDdc3nix7BkAQP19a2mSxVI0v1w8Bg2jZJmibPP7/ooQxJ8HC1ts18nqbJa6/lS1/Kpz6Vn/wkWZK1veDhak2TySTPPZd77833vpeLF/Pzny96TIMRPLxJ2+bChXzjG7n//jz/fA4cyMmT+elPk6RpFj24ATRtt1eByto2bZumSdPkxRdz551J8pGP5LHH8tBD/TcIHpbBf8b85JP57W/zzW/mQx/K9na/yF8Kgqew+bwv+cUX89xz+fzns39/P9tvbeXgwcxm2bdv0aMc0lL9MPAOdDG3bZ59Nl/+ck6fztZWTpzIfJ7pNAcPZj5fstrjpB0VtW0uX86+fTl3Lo88kgcfzOnTOXw4s1naNtNpP8kvyzL+zSzpKWZnx37qVB59NL/5TZJ8/ON5/PHce+9V37CMlm3FAtfTxXzpUp58Mk89lY2NNE2+8pU88kjW1/tF/vLWHjM8Vez8nTdNTp3KffclyR135NvfzvHjSZbv/Nx/JXiWXdtme7uPuZvhX389J07k0qX84Ac5cmSJd+z/SfAstfm8Pw/3wgv561/z6U/3ze+8C+xcmauh0I9KOV3M02l+8Ys89FAefDDPPpum6Z+N6eb8SrVH8Cytrva//S0nTuRzn8sf/5j9+/PGG4se1oIJniU1mfQn577//Wxv5+67c+pUPvOZfnqvyh6e5dJt0V99Nd/5Tp54IpubOXQoJ0/ma1/L6uqiB7d4gmdZbG8nyWSSpsnTT+fkySS5885861t54IFkye+o+R8JnqWwvZ3p9MrBhQv57Gfz/vfnu9/NLbdIfYfg2fu683O//30uX85dd/UvXriQ9743Bw9eeS9A8OxtO1P3z36Wr341Kyv55S9z++1XIi92mf1t+V2wN3UfKdk02djIF76Qhx/OmTN5+eX84Q9JMpn0t9yo/Wp+HexBOyX/6lf5xCfyox/ljTdyzz359a/zwAP9hbfu7B1XW/6nBVhCbZuzZ/PDH+aJJ7K1ldXV/sLboUNm9esTPHtNl/SPf5yvfz1JPvaxPP54/8SbHfvb8dthr+lOM993X26/PQ8/nGeeyfHj/YfVqP3tOEvPnvXSS1lfz4EDRR5lH4Tg2eMs498J74vsWd1cpfZ3QvDsWa66vXPeHaEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChk36IHwDJo2/6gaRY6Dt6O4BmAzvcKS3revW5if+GFfPGLOX48n/xkfve7JNneXuy4uCYzPO9e26Zp8qc/5amn+lf+/Of+dcbJDM+7163kb7stBw5kOk2SixcTwY+Y4Hn3uuCPHcvk339Hf//7ldcZIcGzW0eO5MCBzOdJcv58kkynJvmREjy7NZnk6NG+8PPnM5uZ4cdL8Azggx/sD155JZubCx0K1yV4BnDsWH9w/rzgR03wDODNwf/jH4kT9WMleAZw661JMplY0o+d4NmVbibvZvh9+zKb9TM84yR4BnDbbcm/L7//5S+LHQvXI3gGcNNNmUz6S/FnziTuvRkrwTOAlZXcfHNmsyQ5dy4R/FgJngHs359bb+3382fP9lM9IyR4BrB/fz7wgf743LlsbS10NFyb4NmVbun+5uDPnu3X9oyQ4BnAdJpbbukPzpzpg3fvzQgJnt3qwu7uvZlOc+mSe2/GS/DsVneK7ujR/sum6T/3hhESPMM4fDhJ5vO0bV5+edGj4RoEz2515+1WV7O21u/eu3tvGCHBM4y1tayv98eCHy3BM4y1tdx8c38s+NESPLvVLenX1nLkSP/K2bMLHA7XI3iGsbp6ZYZ/6aWFDoVrEzy71TTZ3k7TXNnDX7yYrS3Pz4yR4BlAdym+m+Enk8xm/gXNSAmewexcip/NnLcbKcEzgG71fvhwVlaSZDbrn4r3nOzYCJ4B7AR/441JMps5UT9SgmcwN97YBz+f9zO8PfzYCJ4BdDP8TTflfe/rX7GHHyfBM4Au+J0ZPjHDj5TgGcZslpWV3HBD/+WlS2nb/p/GMx6CZwBN05+Q767MJXn99WxsXPnsakZC8Axp53b6zc288spCh8J/I3iG0W3jjx7NZJIkm5s5fz6xjR8ZwTOMLvj19bznPYngx0rwDGMn+NXVJPnnPwU/RoJnGDvBHzqUJG0r+DESPMN4S/Dxb2RHSfAMo3sqfm2tX9InuXgxSaZTk/yICJ7BvOVS/MZGNjfdezMugmcw3ar+2LFMJplO89pr2dhIbOPHRPAMbH0983m2t3P6tPN2o7Nv0QNgeXS33Hz0o7n//qyv58Mf7j/lzofbjUfTevtlUJcv5/LlrKz0n37DqAgeCrGHZ3gmkdESPMOzaR8twUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyH/AtUIUedCNHJKAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [79.75147837394131, 136.3367456130386, -30.540978369261165])", "action": "('move', [79.75147837394131, 136.3367456130386, -30.540978369261165])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d1882c982c608c30c8043768c1623747a4bde7748bcfed5ad97b54f3e2208d06"} +{"episode": 85641, "episode_seed": 3701838760, "split": "train", "timestamp": "2025-09-16T00:20:43.314416", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3701838760, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4018744078338293, 2.3342636146886124, 52.345282250019785])", "action": "('move', [0.4018744078338293, 2.3342636146886124, 52.345282250019785])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4018744078338293, 2.3342636146886124, 52.345282250019785])", "action": "('move', [0.4018744078338293, 2.3342636146886124, 52.345282250019785])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4018744078338293, 2.3342636146886124, 52.345282250019785])", "action": "('move', [0.4018744078338293, 2.3342636146886124, 52.345282250019785])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAF5UlEQVR4nO3aS47j5BqA4c9J3bthwIwJq2ENSGyEDbAwFsAi2AADBl03VRKfQarvnKM6Dd2FeJ9HluVYSeRIeeX/t72s6zpAw+a5DwD4cgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHkJPnPgD4N1vXp75tWWZZPvPRzCzrE48I/o3e+/uv83EMbyL8AjV+AYKHT7Sub5fDYdZ11sP6+HJdDoe5vZ3r67m5eW/98cbDw/z22/z003z//ex2c/I5h92G9HQ9PMyrV7PbzX4/+/26381+t+72s98v+8Oy283d3Vxfv+323eW4/22314fbV+v1q8PNzdzczs3t9u5hmXnSqOD0dB4e5ocfZp48BfhkgqfocJjNZn79dX7+eX7/fe7v5+Zm7q4Pt9frze3c7eb/T+N4/Xu7LLNsZlnm5ORxFrAsr0cBx+HA4cNPPjzMzOz3f/E3PYngKTqeSP/4Y375Ze7vj/uWN7keW928cwtrnVkPc1gf138y13/nm9f/mu5hmcPl2XJxtZxfLBcXy8XFnJ/PV1/NbjfffTfz+a8UCJ6uly/n/PxN8DOvc/3oHDwz68zhbHO4vJyrq7l8sb18sVxdLRcXc3U1V1dz3Li8nMc3vL9xdjZnZ3O6ndOTzcnpnJ7P6elyejpvlmWZb76Zmc87gR/B03Q8kX777fz449zfz9dfP3b7wfLixVxezsuXc362bDab7Xaz3cxmO9vtbE+WzWa229lu592Nzf96tOX5H3txlR7+fseqjlP3eX2b/QMf7HEfHp7NJ2fxD79db0gPf+If3u0ne/5JBfDFCB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIT8B9Fw7nuLX1u7AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c06af040968428eae65cb3d9de5444839d77a43c3d22e1ecb22fedc84b84d627"} +{"episode": 85642, "episode_seed": 2942922978, "split": "train", "timestamp": "2025-09-16T00:20:43.910516", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2942922978, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.795305760948569, 11.163805354823458, -52.46836156380087])", "action": "('move', [-9.795305760948569, 11.163805354823458, -52.46836156380087])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.795305760948569, 11.163805354823458, -52.46836156380087])", "action": "('move', [-9.795305760948569, 11.163805354823458, -52.46836156380087])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.795305760948569, 11.163805354823458, -52.46836156380087])", "action": "('move', [-9.795305760948569, 11.163805354823458, -52.46836156380087])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "182b1f22574c25744e175b1a089ac58814464871eff6a3a72dbc7d54f2cbb02e"} +{"episode": 85643, "episode_seed": 2716727346, "split": "train", "timestamp": "2025-09-16T00:20:44.506579", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2716727346, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0058178707354, 0.9510095085082635, 41.58060086239063])", "action": "('move', [-4.0058178707354, 0.9510095085082635, 41.58060086239063])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0058178707354, 0.9510095085082635, 41.58060086239063])", "action": "('move', [-4.0058178707354, 0.9510095085082635, 41.58060086239063])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0058178707354, 0.9510095085082635, 41.58060086239063])", "action": "('move', [-4.0058178707354, 0.9510095085082635, 41.58060086239063])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIwklEQVR4nO3dW6ildR3H4d+7DrMZ0CuzAjGJEc1UtBTTPKBgiDNqHhiVnIwUy8ONDg6IXqnYCQWnGwdHcAQFHXMOhqYggjcZSIZFFI0wGmg3jSWNOHuvvd63i7VV7GDa7Nl7j9/nudqXL6z9We//8L7/1XRdV0CG3mJfALBwBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM+/6rrFvgL2GcHzIV1XTTP3B58+gucDbVtNUzt21J491TTVtot9Qcw3wTOnbavXq9deq5Ur6/zz6+2/V69X4/FiXxbzSvBUvXdv37mzVq+uV1+t557rVp47/vPrXb9fo9FiXxzzR/BUvTd1f/312rGjq6rhsuaXv+qdt6r97SvdcFjjsSn9p4Tgqarq96vr6swz66mnmkMPGY9majhsfvf73oUXdi+80PX7i319zBPBM2eySnfqqfX0L3pHHTkejWo4bHa+1rvkkm7rVkv3nxKC5wOTVbpjjm2eebZ/ytfa0aiGw9q1q3f55bVhQ1VZut/vCZ4P6ferbesLh9WTP28uOL8bjWrZspqZqeuuqzvu6GZnq0rz+7GmM0rj34zH1e/X7t21dm23cWMzWbdr27rhhrr77pqaqq6rnpvFfkjw/GeTbfnRqG6/vbvrrur1mqap8bguu6w2bqwDD/zgmTz2I4Lnv5pszjdN3Xtv3XRTVdVwWKNRnX3W+JFH+5/97NyXAvsRwfNRJv8dTVMPP1xXX10zMzU1VdPT3QlfaR97vL9ixdzgn/2F72c+ymTQ3ra1Zk1t2VIHHdRNT9fUVPPr3/RWntu+9FL1+zU7a7tuvyF4/oemmduuW7Wqtm2tFV9sp6dr2bLmTzt6F13UPf10DQY1Wb1n6RM8H0u/X+NxnXZ6s3V7c8JXu5mZGg7rjTeab6/pHnpo7vFblj7B83FNRu/HHtts3dacc06NRjUY1Ft/a669tu75STuZyRvbL3GC5xOYjN4PPbQefbSuuKKbne0Gg9qzp1l3S3PLLVVVk607liyr9Hxik5X50ajW3dyu/2kzGDRtV+24rrmm1q+v5cst3S9d7vB8YpPHb4fDund97847q+uq6WowqI0b68oru11/nZvwswS5w/N/en+L/r776sYba2amBsOaHXVnndk9uKl32GEey1mKBM9emZ2twaA2P1bfu6Z7+x/NcFijUXfccc2mTXX88Zpfcnwa7JXJZP7Sy+pnT9Qhh3SjUU1NNa+8UhdfXM8/3/V6NfZYzlIiePZK08wt3Z/9jWb7tjrm6JqeruXLa+fOunR1PfF41x84IWsJETx7a9L8eFwnnNhs216nnVbvvttNTdWut5pvXdHdv6EdDKptNb8kCJ75MVm6X7GitmypCy7opqe7waBmRr3vX1c//EE3OTNP84tO8MybXq/atg4+uB55pPfd77Szs22vX/1+79bbmptvrnJC1hIgeObTpPkDDqgN9/fXrWvacY3HNRzWPffUVVd177zjxy0WmW055t/7J2f8+Ed1623VtpOD8brzVtUDDzSf+3xNjsdk4QmefeL9x3I2bqy1a7vduydb9PX1U7oHN9URRzSaXxSCZx+anHu3fVt3/fXNm3+Z28A76kvdpofqpJMaj9wvPHN49qHJy3PfvLB57LHuyCO62dkaDusPf2wuuqiefaabLOyzkATPvjV5i/6005stW5oTT2xHo27ZsnrzzWb16tq8uZrGaTkLSvDsc5OR/JePrief7J19Vjsz01XVQZ9pDj98bm2PBWMOzwKZvEjzzju1Zk29+GJt3lxnnOHtmoUmeBbOZA1vZqZefrlOPtlPWSwCwbM41L4oDKdYaF1X47HaF4c7PARxh4cggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wTybxXGsSTPsgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d545eccad6772753c9bbfa9146f07639cd35a167f9fe6d20d42a26636395f550"} +{"episode": 85644, "episode_seed": 693966055, "split": "train", "timestamp": "2025-09-16T00:20:45.431259", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 693966055, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.168626293603116, 3.259317396287804, -54.98884125897106])", "action": "('move', [3.168626293603116, 3.259317396287804, -54.98884125897106])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALK0lEQVR4nO3dXYhU9R/H8c85s089afhQpEQPSEVbUutDohZ5k7HmhaaLKWpgJNuai6GIFyF0IQSZIWK6ZqGWkGCitqtI3Yh1oREVWkaFmPbglgVqubvOOaeLc5w1y7//TNuZ+bxfl7vnYmDnPb/f7ztnZoMkSQTAQ9jTDwDAf4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIvHXHc048AJY/gS0cYKp9XkvT040AJI/gSEcc6eFAVFQoCJQnZ49IQfNFL296+XY88olmz9MUXCgIFgSTFMeXjHwkSnjFFLo4Vhho3Tm1tktSrl8aN0/z5uvdeVVb29INDiSH4opckCgIdPqwVK7R1q776Kvt5Q4Oeflp1dbr++mzBT68ELozgS8r332vNGrW2at++7CeLFmnJEsVxdraPY+VyZI8L4QxfIpJE+bwGDNDixdq6VStXatQoSerXL/ttkigMu6d6wN9hhS8pcawoyo7uP/yg/ft1333q31+S2tvV0KCxYzVnjq67rvv6woQPIPiSFMeKY1VU/OmHy5eruVmSbr1VTz6pxkbdcEP2K872OIvgS1Z641149lD2wQdaulS7d+v4cUnq10+NjZo2TXfcQe0oIPiyUFjDP/xQa9bovfd09Kgk9e6tefM0f76uuUZJoiiSdP7WAE7425eFwoh+5EiNHKmPPtLbb2vLFn3zjfbtUxRlh/k0dQ72xljhy0sUKUmysD//XDt2aNQojRihJFFnp1atUv/+mjat+3qO92YIvhylW/dcTjrnqP/xxxoyRBUVGjFCc+Zo0qTuC1jwbfA+fDnK5ZTLZXfah2EW86lTqq1VkmjPHk2ZoqFDtWGD2tu7L4ABVngP6dY9SbRund58U3v2qLNTku6+W7Nna+ZM9eqVXZYk2cqPckTwNgp340navFmbNmn7dp0+rauu0v79uv327FM6kqKIZb9cEbyZfD672T6OtXu3Wlo0cqSamrLXgr171dWl0aOzixnplR2C95Pelp/en9vRIUnV1ZJ0/LgmT9Znn2n8eM2dq7q6nnyQuDII3lXho3WSoki5nD75RGPHqr1dkmpqNG6c5s1TXZ2qq7vv50OJI3hv6V8/necFgdrb9cor2rZNBw5IUp8+2rVLQ4ZkrwgofQSPvzh2TBs3auNG1dZq7drsXXoO82WB4HGO9H779Ea9I0eUz+u227qn9yh9BI+/OPdT9ygvBI8LOO/jtygLBA8Y4fUbMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjvsHHcfYPkQEfpsFHkcJQYUjz8OIYfBwrl9P+/fr1V4WhoqinHxDwX7ELPo4VhvryS9XXa+pUHTqkXI7m4cIr+HQDf+iQZs3SkSPauVMTJmjvXpqHC6/gk0RhqB9/1MGDklRTo08/1fjx2rZNuVx2AVDGvILP5RTHeuAB7dihu+5SR4eqqtTerokT9eqrkhQEjPFQzryCl7Lh/LBh2rVLDz+sri5VVCiK9MwzWrhQv/3GGA/lLEgsd7FJoiDQyZNqatKGDdl+PorU0KBlyzRggKIo+yFQTuxW+FS6db/2Wr3+uhYvVhwrilRVpU2bNHGiDhzINv9AmTFd4VNp0mGo9evV1KRTp1RVpa4u3Xyz1q3TmDHS2b0AUB6sg5cUxwoCBYF279a0aTp6NGv+6qu1apWmT8+uCU13Qig37k/ktOQk0UMP6f33NWyYurpUWanff9eMGXrhBXV2MsZD+XBf4QvSZfynn9TYqM2bVVGRfbpm5kwtXaq+fRnjoRy4r/AF6TLev782bNCCBcrnJamiQuvWafLk7A5cxngodazwf5J+ik7S6tV69lnl89mR/s47tX69hg+XGOOhlBH8+QpjvLY2zZypn3/Omu/TRy0tevzx7BrGeChFPG3PVxjj1ddr1y7V1qqrS1VV+uUXTZmil15SPs8YD6WK4P9GusJHke6/X21tqq/Pmo8iLVig5madOsWRHiWJLf3/kk7mT5zQokVaubL7DtzHHlNLi266ifM8SgzBX0R6XI8iLVumBQskqbJSZ86ork5vvKHBg2kepYTgL64wotu0SU89pZMnVV2tzk4NHKiWFtXXd8/5gCLHGf7iwlBJojhWQ4Pa2jRokDo7VVOj777TpElauTJ7OeBIj+JH8P+XIMg29qNHq7VVY8ZkX55x+rSamrRwobq6+A5clAC29P9MOsY7flzPPaf165XLZYv/1Klavlx9+/IWPYoaz81/Jn03rm9fvfaann9eUaQ4VmWlNm7UhAk6eJC36FHUWOEvRWFKt2aNmpt1+rRqatTRoUGD1NKiMWMY46FIEfwlSpLsO3B37tTs2fr226z5Xr20YoWmT+++ACgePB8vUWGM9+ijevddDR+ejfFOnNCMGVqyJDvMM8ZDUWGF/7fSG2+OHVNjo7Zs6R7jzZ6tF19U7958kB5FhBX+30q/D/PGG/XWW5o7t3uMt3q1nniCD9KjuLDCXx7plE7Syy9r0SKdOZMd6e+5R2vXavhw3q5DUSD4y6bwHbjvvKPGRrW3Z3fg9u6t7dv14IM0j57HE/CyCUMFgZJEEyeqtVW1terslKRbbtHAgfzXOhQFVvjLLx3jHTmiGTP09ddqbdXgwYzuUBQI/ooofAfu4cMaOpTNPIoFwV8phcipHcWD4K+gOFaSsJNHESF4wAh7TcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIH9pcTAAg11lGAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.168626293603116, 3.259317396287804, -54.98884125897106])", "action": "('move', [3.168626293603116, 3.259317396287804, -54.98884125897106])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJxklEQVR4nO3dT4hdZ+HG8efemXZaO4lJbKpmpS5ctAiauiiJa7sI7rQIXSgISrEohW5cuXNXEBERgwtRCgoitaggrkp1YUVE6h9QwWqxNnRSm2iT6My9v8U5mYn114XCnZOZ5/NZzdy5ixdmvvOe95z3nDtbLpcBOsynHgCwfwQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQR/cCwWU4+AA0/wB8d8nu3tLJdTj4MDTPAHxGKR3/426+uZzbJcyp7/jeBvekPbTz6Z978/H/tYfvObzGaZzZJksVA+/5XZ0l/MTW6xyHyec+fy/e8nydGjOXcujz6ad70rt9wy9eA4YAR/01suM5vluefyxS/miSfyu9+Nrz/wQD7+8Zw+nWPHxgl/eCe8PsEfKH/5S86fz/e+l2eeGV/5zGfyuc9lsRjX9otF1tZkz+uxhj8glstsb+fUqXz2s3niiXzpSzl7NknuvHP86XKZ+XzvrB78f8zwB8pikZ2dcen+wgt59tm8+905eTJJLlzIAw/k/vvz8MM5cmTv/btn+EDwB9JikcUi6+v/9uIXvpBPfzpJ3va2fPSjeeih3HXX+CNre64T/IE1bLybX1+U/fjHeeyxPPVUtraS5M4789BDefDBvPOdameX4A+F3Tn8Jz/J+fP50Y/y/PNJ8sY35pFH8uijueOOLJfZ2Uny2kMDmvjdHwq7p+jPnMmZM/nZz/LNb+Y738kf/pBnnsnOzriYH1K3sC9mhj9cdnayXI5h//rX+cEPcvZs7rsvy2WuXcuXv5yTJ/Pgg3vvt7wvI/jDaDh0X1tLbljq//znufferK/nvvvy8MP54Af33mDCr+E6/GG0tpa1tXGn/Xw+xvz3v+eee7Jc5umn8+EP573vzde/ngsX9t5AATN8h+HQfbnM176Wb3wjTz+da9eS5O6784lP5CMfydGj49uWy3Hm5zASfI3d3XhJvv3tfOtbefLJXLmS22/Ps8/mHe8Y79JJsrNj2j+sBF9me3vcbL9Y5Kmn8pWv5MyZfPKT4/+Cn/40//xn3ve+8c1O6R06gu8zbMsf9udevZokGxtJsrWVD30ov/xlPvCBfOpTOX16ykGyGoJvtXtrXZKdnayt5Re/yP3358KFJLnttpw7l0ceyenT2djY28/HASf4bsNvfzifN5vlwoV8/vP57nfzq18lyYkT+eEPc++9438EDj7B8x9efDGPP57HH8899+SrXx2v0lvMHwqC5wbDfvtho96f/5zt7bz97Xtn7zn4BM9/uPGuew4XwfM6XnP7LYeC4KGI/99QRPBQRPBQxBNv9s+VK0nGZ0nbxsIkzPD75OrVnD2bu+/OmTM5f96T45mGGX6f7Ozk97/P5cv54x/z/PP2rTENM/w+efXVXL6cW27JbJZTp5Lr17lhPwl+5Yaj9+EmtOEuld2Ph4J9Jvh98sILyfVZ/dixSYdCMcHvk7/+Ncl4Z8odd0w9GloJfp8MwS+XOX48m5tTj4ZWgt8nQ/BJTpwYZ3gn6tl/gl+54eTciy+O3544YYZnMoLfJ8NJuyTHj5vhmYzg98mNh/RveMOkQ6GY4FdueAb8xYvjtydOjB8DBftP8Ks1PAz25ZezvT2+cvx4kuzsOKRnAoJfrd1tdrvBD7tubLNjEoLfDzcGP8zwpncmIfjV2r0m969/JcnttwueKQl+P+wGv7lpIz1TEvxq7a7hd3aS5MiRMXgzPJMQ/GrdeG9sks3N8ZAeJiH41XpN8EeOjMH7fAcm4e9utYawX355/HZzM5ubdt0wGcGv0HKZ+TyLRV59dXzl6NHErhumI/gVGoLf2toLfjiet+uGqQh+hYawL17cC/7kyQmHA4Jfvd0Zfj4fH1/pjB1T8ae3QsMMv7U1fubMrbea4ZmY4FdoN/hhhr/ttjF4Z+yYiuBXbmtrvHNmY8MMz8QEv0K7M/xgY8Manon501uh4dB9d9fNxkbuumvC4YDgV2a5HD8T+pVXxlc2NrKxke1ta3gmI/gVms9z7dpe8G9606SjAcGvzrCAf+WVveDf8pYJhwOJ4Fft0qX87W/j129+c+KaHJMS/KoMM/zly3szvOCZnOBX5TWH9GtrY/AwIcGv1qVLuXw5SeZza3imJ/hVGWb4S5eSZD7PbDYG75CeCQl+VW7cdTObOaTnpiD4lRgefZHr+2oXi6yvj9vszPBMSPCrcmPwy2WOHcutt047IhD8Kl29mpdeGr9+61snHQokEfxKXbkieG4ugl+hG4N3TY6bgeBXYrgmd/VqLl78t2tyMK31qQdwmP3jH/nTn8avh0dfwLQEvxLDtbdTp/LYY3nppTz3XN7znqnHBMls6VMRoIY1PBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5P5trS//f4jA1AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.168626293603116, 3.259317396287804, -54.98884125897106])", "action": "('move', [3.168626293603116, 3.259317396287804, -54.98884125897106])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "346821cb39481a33f408d5779d8d40f49ad6d62f2fbdc3ab8eb5b13a5073701b"} +{"episode": 85645, "episode_seed": 3347249871, "split": "train", "timestamp": "2025-09-16T00:20:46.030824", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3347249871, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.973401943180886, 7.991133499666703, -30.369033927653998])", "action": "('move', [-4.973401943180886, 7.991133499666703, -30.369033927653998])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.973401943180886, 7.991133499666703, -30.369033927653998])", "action": "('move', [-4.973401943180886, 7.991133499666703, -30.369033927653998])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.973401943180886, 7.991133499666703, -30.369033927653998])", "action": "('move', [-4.973401943180886, 7.991133499666703, -30.369033927653998])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH+klEQVR4nO3d764U5QHH8d/sHsRaIvZUEwIqoMYo1j8EAaE34i15A96Ct2Fs2nqM6RGKehT/VF5o9aRaKaQqZ3f6Yk9LNY0mTdol8/t8Xm3m1TPJfjPzzDP77DCOY4AOs3UPAPj/ETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUqQt+ucw4rnsQsCZFwS8WSTKbZRjWPRRYk411D+B/bhwzDLl2LS+9lCeeyHPP5amnsrm5fxyqTD/45TLzeba28vLL+0deeSUvvpjFIhvTP3v4nul/5VfBv7m1N5vNZ7PhwQfzyCPrHhOsyfSDX923b1+aLZfDcpmjR3PqVJLM5+sdF6zBxB/aLZfZ2Mjubj79bHWm4/GHl4cO5dYtE3gaTTz41QrclSv582dJMgx59mmLcvSaePCLRcYxly8tvvxyTHL43uG5M/Mks4mfN/xnE//ir1bd3313GDMkOXxfzp7dPw6FpvzFX03gr1/Phx/tT+CPHdnb3MxiYQJPqSkHv5rAf/xxrl5dHRiePzfzXi3Nprwstx/8R+Mnn2QYhtks5y/MhsHlnV5TDn4V9nvvD0lms2xs5OKF28eh0GRv6ccx83m++y6X/5gki0WOHs2JE4ngKTbl4JPsfpHLb+3P2l94YZ3jgTvBZINf2f1iubOznG8kyYUL6x4NrNtkg1/dt++8P9tbzOezJOPqCu8pPc2mHPw45o03kmRvL7+4d3HiuNZpN9ngk3zzzbj1+2WS5TLnLswPHfKwjnbTDH51337z5rC9Pa5+Bvv888PdP0s8oqfbNINfefud/P3b+XyeZDxzZhyGLJfrHhOs1ZSD/91vMwz57lZ+fnB54uExnthRb9LB/2YxjsmYp56dHzk6i/t56k02+L29bG/vf3766TzwQCJ46k0w+OUyw5Cdnfz1b/NV4adOZWMje3uCp90Eg19N1F9/Pd9+k3HMwYN57LHbx6HZZIPf2sreIkmOH8/jjyd2uYFJBr9afrt0aX8J7uTJnDyZcRQ8TC741d9OXLuW3d39ba0ePbk8eDB79qWGSQaf5K23srubJBsbeeaZxPN5SDLZ4P+wuHlzmWRzc3j29CzJMLUThf/GpLa4Wu1yk2TnvVkyJLn//v0rvAk8ZGJX+FXwn3+RP32yuoMfjz+0uOcefywF+6YWfJKr740fXB2TDMNw/gVv1MJtkwp+NYH/8IPlX74chyEHD+bc+f0ta4FMKfh/rbTvvD9bPaO7667x/PlE8PBPk0phPs/167lyZciYccyjjw6bm96ohdumE/wq7M8/z+XL+0dsUws/MLXgP/00165lYyPDkIsX1z0muMNMJ/jVRP3tt5NkmGUcx3Pn1jsiuONMJPhxzDBkby9vvpkke7fy0LHxyJHEmhz8m4kEv3LjxvjG68sk45iLv57dffe6BwR3mEkF/9VXeWcnBw4kQ86ez4ED6x4Q3GEmFfz29jCOs2FIxvHM6TGxLzV8z0SCX03Ut7aS5Nat/PK+5bFj6x0R3Ikm9Wu5V1/dL//02fn9D6x7NHDnmU7wi0Xm8/3V+F+dyuHDtrWCHxrGqbx6Oo75+uvcuJHXXsuTT+b06SyXgofvmU7wwE+a1BVwHP1UBn7MdObw8VId/JRJXeGBHyd4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPIP/1NhIfht8SAAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7dc758a1fc7081b234b98c4bb62c4401bad2a2f81419c6589d829bdf4362abff"} +{"episode": 85646, "episode_seed": 1848774705, "split": "train", "timestamp": "2025-09-16T00:20:46.628635", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1848774705, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5727099336885253, -2.5721510669192273, -58.980510112458184])", "action": "('move', [-1.5727099336885253, -2.5721510669192273, -58.980510112458184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5727099336885253, -2.5721510669192273, -58.980510112458184])", "action": "('move', [-1.5727099336885253, -2.5721510669192273, -58.980510112458184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5727099336885253, -2.5721510669192273, -58.980510112458184])", "action": "('move', [-1.5727099336885253, -2.5721510669192273, -58.980510112458184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ace4d440ed59efbaf28624b616cd42f5ec59829ab68cb65d103ab356fa8e5db0"} +{"episode": 85647, "episode_seed": 3389637529, "split": "train", "timestamp": "2025-09-16T00:20:47.557541", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3389637529, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.35498298943932305, -3.645575317812263, 15.599732710970414])", "action": "('move', [-0.35498298943932305, -3.645575317812263, 15.599732710970414])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKlElEQVR4nO3daYhV5QPH8d+5yyzMZo4lpA3SpmSkTLsFQWZkL8IpE201Wl6MmS8iLKl3heGbQoyUpHHCIZo0SioNEkFIfGP1piDCF5Mt5DChs+jc7ZxenOOK/l3yP3fu/X0/DMOdy3DnXC7fc5/7nOecCaIoEgAPqXJvAICxQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYI3EkUKQ0VRubcD5RNEvP5+wlApdvWWeNktRFHytX27+vuVSikMy71NKAeCr35x6kGgd97Rgw+qs1OHDimVYmzviCG9iw0btHy5gkD5vB54QJs2afLkZEcAH7zDV794lz55smprlc+rtlY7duiRR9TXpyBgbO+F4KtfXPWCBert1eWXK5dTXZ2++04dHfr5Z6VSKhbLvYkYKwRvIZVSqaT58/Xpp5o2TaOjqqvTDz/o4Ye1d68yGRUK5d5EjAmCd5FOq1TSPfdoyxbdeKNGR1VTo19+0aJF+vZbZbO8z1sgeCPptMJQN9+sLVt0++3K55XN6sABPfaYPv9cmQyf56sfwXuJx/bTp2vrVt1/vwoFZbPq79dTT+mjjzg+X/0I3k48tp8yRR9/rI4OFQqqqdHQkJ5/XuvWJc1zrLZaEbyjuPmJE9XToyefTMb2+byWL9fq1cmqW5qvSgRvKp1WFKm+Xps2qbNThYIyGQWBVq3SqlVJ7TRffQjeVxAkK+3ee08rV6pYVBAondbq1VqxIvmR5qsMwVuL19WWSnr7bb35psJQpZJqarRunZ57TiMjLMWrNqylR3KefDqttWv18ssqFlVbq1xOHR364AO1tqpUUjpd7q3EpUDwkE5qvqtLL72k4eGk+Xnz9OGHmjpVxaIymXJvJf4zgscJ8YUxPvtML7yggQFlsyoUdMcd6u7W9dfTfDUgeJwibn7nTj37rPr6lMmoWNTMmdq8WbNnM7aveEza4RTxUry5c9XbqxkzVCwqm9VPP2nBAu3enRzAR+UieJwunVahoNtu05Ytam9XoaDaWvX16dFHtX07zVc2hvQ4s/gT+2+/ackS7dmTzOE1NqqrSwsXqlRSKsXVcioP7/A4s/jkubY2bdumefOUy6mmRsPDWrxY3d3JiXe8WVQcgsdZxRe6bG3V1q3q6FA+n+wFli7V2rXJ4lyarywEj/8lXl3b1KTNm/X00yeW365YobfeSk6zYSleBSF4nEO8ura+XuvX68UXFYYKQ2Wzev11rVypKOIs+kpC8Di3eGxfW6t339VrrymKkitnrFmjZcs0OpoczMP4xyw9ztfxi9ivWaM33lA+nxyiW7JE69eruZllORWA4HFh4uw3bNArr2hoKGl+/nxt3Kgrr6T58Y7gcWGiSKWSMhl98ok6O/XPP8mS+7vvVleXrr2W5sc1gscFO978jh1aulR//50sy5k1Sz09mjmT5scvgsfFON78nj1avFgHDiTNX3ONenvV3s5/rRunmKXHxQiCZBHOnDn68ktdd12yFG//fj30kHbt4vJY4xTB4+LFh+tuuklff63Zs5P/VPnHH/rii3JvGc6CIT3+q3j0fuCAnnhCu3fr8cfV1ZVcKoNR/XhD8LgE4lm6P/9UT4+eeUaTJpV7g3AWBI9LI75Ujo5dzZ739vGJ4HHJxCfPBQG1j18EDxhhlh4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxjJlHsDUFGi6JQfg6BM24GLRPA4KeP4RhQplUpijiKVSooiBYGC4MT9qExBdNo+G9XkeMA6qep0OrkRhioUFARKpy+g5FJJuZyOHFFNjZqbk30BKgTBV6zTMo7DSx2blCkWFUVJyedpZEQjIzpyRENDuvpqNTRI0uCgvvlGf/2l0VENDmp4WENDGhnRwIDmztWrr6pYVIZxYsUg+Gp39KgGBzU4qKEhDQyovl633KK6Okn6/nu9/77CUMPDOnIk+Tp6VMPD6u7WXXdJ0v79mjNHBw+e4ZHvvVc7dyqXU23tmD4j/AfsmyvWwIAOHtThwzp0SIcPq79fM2bovvtUKimd1qpV2rVL+bxGR5XLKZdTsaiREd1wg3p71dYmSb/+qo0bz/zgv/+e3Ghp0fTpqq/XlClqalJLi1paNHGiGho0a5YkZbNj8mxxaRB8xVq2TNu2qVhUoZDcs2jRieB//FF7957y+/HwfmRE+XxyT1ub2ts1bZoaG3XZZZow4cT3W29Nfqe1VV99pTBUJpM8Qjp9YhZAuoCPDBgHCL5i1dcrDNXQoJoa1dUpm9UVV0jHDpUtXKipUzVpklpaNGFCknFLiyZN0lVXJY9w553at+8cfyUI1NT0/3waGFN8hq9Y+/apr0+trWpqUnOzGhs1YULy4fz8ne3VP23inan4akHwVSo+eK5j6R7PNT6cDlcEX7HCUGF4Ss/EjHMheMAIU6yAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YORfQ8u7lbsFE3AAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.35498298943932305, -3.645575317812263, 15.599732710970414])", "action": "('move', [-0.35498298943932305, -3.645575317812263, 15.599732710970414])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.35498298943932305, -3.645575317812263, 15.599732710970414])", "action": "('move', [-0.35498298943932305, -3.645575317812263, 15.599732710970414])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e60ce04cbc2da0e3333cdddacd8fea23bcac6ac0d19a41ca37700fd9582f595d"} +{"episode": 85648, "episode_seed": 2339414153, "split": "train", "timestamp": "2025-09-16T00:20:48.152004", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2339414153, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.5699320351599196, -1.262788711058551, -20.821800551634936])", "action": "('move', [-0.5699320351599196, -1.262788711058551, -20.821800551634936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.5699320351599196, -1.262788711058551, -20.821800551634936])", "action": "('move', [-0.5699320351599196, -1.262788711058551, -20.821800551634936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.5699320351599196, -1.262788711058551, -20.821800551634936])", "action": "('move', [-0.5699320351599196, -1.262788711058551, -20.821800551634936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAINklEQVR4nO3dz4te1R3H8e+58yQpWNRFFlm2xE01ATcRQamNUBDS0ha3hWILUmp+mDERpb/QJjFRAy4itaF201LsDyktVneJq5YmtFZ3Ng5aJGj/Ap3MPPd0MeMklBZbG2eS+bxey2EWlxnec+79nvPcab33AjIMa30BwOoRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPGug9+p9rS8ikuBZbeNYrVVra30dkQTP6um9FhdrGOrChZqbq3G0zq82wbNKptOqqsmkzp3ru++rW2+tl1+u1pa/zupo3d9YPn6LizWZ1Njr2ZPjk8frb+eGqtq5s557rjZvdoe/eqzwfLyWFpTJpM6e6V/6Yr/3m+1v54ZNm6qqTp+uV16pYbDIrx7B83EZx6qq1mp+vr733b5rV73w+5qZtKqan+/bPjO+9FLddluNY00ma3ypOfykufx6r+m0JpMaxzp9umZn67XXWlXNTGq62K+9tu3Z3R9+eLjmk2t9oXk8w3OZTac1DNVazc3VU0/ViRNVVRs31oULVdU/f+d4+LFhxy2tPrjb9/S+mgTP5bQ8nBvrJ8+OR48Nc3N9ZqZV1XRaN9zQ9+2t3XtaVY1jDZ4m14LguTx6X16rz57ph37Qf/dCq2obNtTCQlXVvffWvn11443LD/ZqXyuC5/+1sly//349dmg8+eN69x9tMmmLi1VV27f3o0fbXXfVMNTCQk0m7uHXkuD56HqvcayZmeq9Tp3qBx6ov77aqmqyoRYX6pprxn17+oMPzVx3XVXVdFozM2t8wQiej2gl4LfequNP9hNP96rhg3v4fufOfvTYsGNHleHclUTwfBQLC7VhQy1O62c/rUOHam5ueTI/nfatW9ve3ePe+4e65MGeK4Tg+d+sNHzmT/3oY/03vx3qkl23b3y979/fbtrWrOpXJsHz31pJfWGhjhwef3SyvfNOTSZtOq3ea/v2Ony4vrCrmuHcFUzwfLil91UsjeJPnaoDs9NXXp2pqsmkFhdr48Y6eLAOHKjrr68ynLuyCZ4PsRLw22/3x4/2p39YvQ8bNtbCharqn/tsf/zJtmPH8nEan3u7wgme/2jpfRVLg/fnfj4+8kibe7Mmk7Z0VH7r1vG+b7X7Z1uT+tVD8Px7Kw2fPVvHjtXzz4+X7LqN99wzHJjtN25rTs5dXQTPv1oZsM/P17FjdfJknT+/fEJ+HPv2bf3RR+vLXxnqg805riKC56JLh3OnT/WDB/uf/zJULd/Vf2LTOLu/9j8wbN588YwdVxfBs2zpg25V9e47/ciROvF0731YOiRbVbffXseP1y23VHliv5oJnovDuQsX6te/qu98e/rm34dhaEsn5z79qdq9p83OXvxmqV+9BM+ys2f68eP9F79sVW3Tppqfr6r+ta/2Aw+2bdudnFsnBB9tabmen68nnujPPNPOn++TDW26WL337TeN339kuPvuVoZz64jgc62M6Hbtqhdf7FVt6eTcTBsffKjt3VtbtjTDuXXG/mmulfvzO+6oqlZVi4t1+239D39sR460LVva0tuj1b6eWOGpqtq5s954o+/bW7MPtKVtOcO5dUnwVFW9/nq9917dfLMtt3VO8Fy0shXPeuXXS1Ut/yNXta97VngIYkoPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4JdVEOMrWPtM8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAINklEQVR4nO3dz4te1R3H8e+58yQpWNRFFlm2xE01ATcRQamNUBDS0ha3hWILUmp+mDERpb/QJjFRAy4itaF201LsDyktVneJq5YmtFZ3Ng5aJGj/Ap3MPPd0MeMklBZbG2eS+bxey2EWlxnec+79nvPcab33AjIMa30BwOoRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPGug9+p9rS8ikuBZbeNYrVVra30dkQTP6um9FhdrGOrChZqbq3G0zq82wbNKptOqqsmkzp3ru++rW2+tl1+u1pa/zupo3d9YPn6LizWZ1Njr2ZPjk8frb+eGqtq5s557rjZvdoe/eqzwfLyWFpTJpM6e6V/6Yr/3m+1v54ZNm6qqTp+uV16pYbDIrx7B83EZx6qq1mp+vr733b5rV73w+5qZtKqan+/bPjO+9FLddluNY00ma3ypOfykufx6r+m0JpMaxzp9umZn67XXWlXNTGq62K+9tu3Z3R9+eLjmk2t9oXk8w3OZTac1DNVazc3VU0/ViRNVVRs31oULVdU/f+d4+LFhxy2tPrjb9/S+mgTP5bQ8nBvrJ8+OR48Nc3N9ZqZV1XRaN9zQ9+2t3XtaVY1jDZ4m14LguTx6X16rz57ph37Qf/dCq2obNtTCQlXVvffWvn11443LD/ZqXyuC5/+1sly//349dmg8+eN69x9tMmmLi1VV27f3o0fbXXfVMNTCQk0m7uHXkuD56HqvcayZmeq9Tp3qBx6ov77aqmqyoRYX6pprxn17+oMPzVx3XVXVdFozM2t8wQiej2gl4LfequNP9hNP96rhg3v4fufOfvTYsGNHleHclUTwfBQLC7VhQy1O62c/rUOHam5ueTI/nfatW9ve3ePe+4e65MGeK4Tg+d+sNHzmT/3oY/03vx3qkl23b3y979/fbtrWrOpXJsHz31pJfWGhjhwef3SyvfNOTSZtOq3ea/v2Ony4vrCrmuHcFUzwfLil91UsjeJPnaoDs9NXXp2pqsmkFhdr48Y6eLAOHKjrr68ynLuyCZ4PsRLw22/3x4/2p39YvQ8bNtbCharqn/tsf/zJtmPH8nEan3u7wgme/2jpfRVLg/fnfj4+8kibe7Mmk7Z0VH7r1vG+b7X7Z1uT+tVD8Px7Kw2fPVvHjtXzz4+X7LqN99wzHJjtN25rTs5dXQTPv1oZsM/P17FjdfJknT+/fEJ+HPv2bf3RR+vLXxnqg805riKC56JLh3OnT/WDB/uf/zJULd/Vf2LTOLu/9j8wbN588YwdVxfBs2zpg25V9e47/ciROvF0731YOiRbVbffXseP1y23VHliv5oJnovDuQsX6te/qu98e/rm34dhaEsn5z79qdq9p83OXvxmqV+9BM+ys2f68eP9F79sVW3Tppqfr6r+ta/2Aw+2bdudnFsnBB9tabmen68nnujPPNPOn++TDW26WL337TeN339kuPvuVoZz64jgc62M6Hbtqhdf7FVt6eTcTBsffKjt3VtbtjTDuXXG/mmulfvzO+6oqlZVi4t1+239D39sR460LVva0tuj1b6eWOGpqtq5s954o+/bW7MPtKVtOcO5dUnwVFW9/nq9917dfLMtt3VO8Fy0shXPeuXXS1Ut/yNXta97VngIYkoPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4JdVEOMrWPtM8AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6e33a1f39d409dec3b672df09719ee398e3cb9540122f20b91c92e71f9e555b4"} +{"episode": 85649, "episode_seed": 1899343692, "split": "train", "timestamp": "2025-09-16T00:20:48.751370", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1899343692, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.3274947558350694, 2.6728502946074353, -58.77390123803525])", "action": "('move', [-2.3274947558350694, 2.6728502946074353, -58.77390123803525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.3274947558350694, 2.6728502946074353, -58.77390123803525])", "action": "('move', [-2.3274947558350694, 2.6728502946074353, -58.77390123803525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.3274947558350694, 2.6728502946074353, -58.77390123803525])", "action": "('move', [-2.3274947558350694, 2.6728502946074353, -58.77390123803525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4f3f74db03be9c8aac0dbbbc5a4a521f36b1be81cf725b3f7c78814473599bd8"} +{"episode": 85650, "episode_seed": 582291757, "split": "train", "timestamp": "2025-09-16T00:20:49.348813", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 582291757, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6905575022271878, -0.8791835142746219, -12.96864581063621])", "action": "('move', [0.6905575022271878, -0.8791835142746219, -12.96864581063621])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6905575022271878, -0.8791835142746219, -12.96864581063621])", "action": "('move', [0.6905575022271878, -0.8791835142746219, -12.96864581063621])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6905575022271878, -0.8791835142746219, -12.96864581063621])", "action": "('move', [0.6905575022271878, -0.8791835142746219, -12.96864581063621])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "09135c44d5da264e16215161187a636f6ccdbeec35264ba5a5fe53ea461d80e0"} +{"episode": 85651, "episode_seed": 1262093695, "split": "train", "timestamp": "2025-09-16T00:20:50.270568", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1262093695, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.380679346736607, -3.0807631983381616, -41.42719077496067])", "action": "('move', [4.380679346736607, -3.0807631983381616, -41.42719077496067])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.380679346736607, -3.0807631983381616, -41.42719077496067])", "action": "('move', [4.380679346736607, -3.0807631983381616, -41.42719077496067])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKxUlEQVR4nO3d/2tV9QPH8de592oNtSDLtVILlqyyhiOsLLUx+0K4qeUcRGU/C4X0S78F/QHRr0VEJFSYYqyZ0BeZtYZs1kKzsLQQaUlDSVZTZ/eeez4/nNOu3z9T5+499/V8/DTP7h1vLnv6fp9z3vcuiKJIADxkyj0AAJOH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBF9OxaIKBRWL5R4HbARRFJV7DHaKxSTyXK7cQ4EZgp88UZSkPmVKcmRwULt2aXhYa9Zo+vSyDg4eCH4yRJGiSJn/zp+GhrR9u3p69P33+u47Sdq/X/PmqVgsPQa4GlhTXhVx4UGgIJCUfPHXX9q6Vdu26aef9NtvOnVKkqZMUT6vHTs0b17yYODqIfiJFC/aJWWzSb1hqKNH9eWX2rRJ/f06dkz5/BlPKRRUU6P9+yURPK46lvQTIIoUhoqi0sn58eP64w/19WnzZnV368SJs58SBKqrU329Wlu1erXq6yd5yDBF8FekWFQYKpdLJueREe3dq9279cUX+uwzjY5KUiajTEaFQvKU+nrNn6+lS9XaqoaGso0cngj+cpx1ih6G6ulRb6/6+9Xbq+FhScpklMvp33+Tp9TX65FH9OCDWrRI99yTHAzD5IewmMfkIPhxGXuRzipzxw5t3apdu/TLLzp6NDmYy5Xm89mztXKlWlo0f35pPg9DFYvKZrkmj8lG8BcTz+RRpGy2dDCfV3+/Nm3S559raCiZz08XBLrlFq1cqaef1t13a9as5OlRpEIhWeEzpaMsCP48xnbIjJ2cR5GGhrRvnzo71dmpwcHz7Ie97jrdfLNaWtTRoUWLdO21pW+xdEeFIPgzxBfhgqC06fXAAe3bp+5udXXp4MHk4OmL9pkz1dCghQvV1qaWljOSvtCJAFAuBC+db+n+88/auVN9ffr66+QmuaSpU0vvdZkxQ4sX64EH9PDDWrpUU6eWfg4zOSoWwZ/h11/16af65hv9+GOp81wuudMef/3EE3r8cd13nxobNWNG8ph8npNzpADBS9LBg+rsVFeXDhzQ4cM69yWZMkWPPqr2di1erLq6MzoPgtK+OqDCWQefz+vDD/XWW9qzR6OjZ3eey+mGG9TUpI4OPfmkbrqpdGJfLCZvhqFzpIvpXvr4TDuK9NVX6utLzsBjuZzuuEN33aXly9XWplmzznhisagg4P450sp3hg9DZbPaskXt7cmRBQu0cKEeekiPPaZbb00OxoUzk6M6mM7w+u9WWWOjli9XQ4OWLtWCBbrttuS7YxfhmMxRTXxn+FihoOPHdf31pX/GN+foHFXJPfgxY5tegSpG8MnFec7S4cD3HH4MqcMHS1jACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwqFSFgsKw3IOoNkEUReUeA3COKFIQlHsQVYgZHhUmnoGCQO+8o95eSSoWyzuiakLwqDBBoHxe69dr3Tq98YZGRhQEYh06QQgeFSaKlMupsVGFgrq6NDCgIGCSnygEjwoTn72vWqX771cY6u23VSwqmy33sKoEwaPCZDIKQ82cqbVrJamzUz/8IIlV/YQgeFSqFSt05506cUIbNkjiov2EyJV7AMA5slmFoebM0Usv6cgRPf98uQdUPbgPj4oU/1qOnb0XCspmmeSvHMEjPYpFZTgJvSIs6VHB4iv2Q0Pq6tI112jtWpq/QgSPivfRR1q/XrNnq7lZc+YoDLlLd9n4zxIVLD5pX7JE06ZpaEgbN7Lr7goRPCpeU5PWrFE+r02bNDioXI6Nd5eN4FHZ4vl83TpNnaqBAW3frihikr9sBI+KF0W6916tXi1Jb76pv/9WNkvzl4fgUdnid87U1OjZZ1VTo1271NOTHMelI3hUvLj55mY1N0vSq68qny/zkFKL23KoeJmMCgVNm6aODg0P6+WXleP39jKx0w4pEV+ri6Jkp338tnlcIoJH2rDZ7grwwiFtMhnt3auPP07uxjNjXQqCR3rEbff3q7VVzz2nnTsl8VHWl4TgkR7xrbi5c3XypEZH9f77kpTJMMmPH8Ejberq9MoriiJ98okGBpTJsNN2/AgeqRJP5s88o9pa/fmntmxRGHINb/x4pZA2UaS6Oq1bJ0kbNujQId5CN34Ej1SJd91lMlq1SnV1OnxYmzcnxzEOBI+0iTfezJ+v9nZJev11HTlS7jGlBsEjheJtdh0dmjtXS5Zw0W782GmHFIo/6+7UKf3zj268UVJy6Y6F/f9D8Ei5KOJvUY0fS3qkWTzVZ7PavVvHjiVHcGEEjzQLAg0P66mn1Namzk5JKhTKPKTKRvBIuenT9fvvGhzUxo0aGeEjLi+O4JFy2axee02ZjLq7tX07m3AujuCRZnHby5Ylf0z+gw80OspHXF4EwSPNxj7i8sUXFUXatk3ffitx6e6CCB5VYdkyNTXp5Em9+y4fiXMRvC5IufgjLmtr9cILkvTee9qzR2KSPz+CR/oFgYJAK1aoqUm1tTp0qNwDqlzstENViJfxPT26/XbNnVvu0VQugke1iHfdnf4FzsGSHtUivmJP7RfFDA8YYYYHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5H56ouzFP9UEzAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.380679346736607, -3.0807631983381616, -41.42719077496067])", "action": "('move', [4.380679346736607, -3.0807631983381616, -41.42719077496067])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK3klEQVR4nO3d/6uedR3H8dd932eTZV8gB2PgRmRfDDFYiIRpTEZF5kxrLqZ1QkhoYawI+i3wD5AalURjyARXs3CsrTBhBC0Lpqyykv3QD2ae/MKIModneu77XP1w3Z0ty7m51bmv8348fhqHc8PFvT33uT6f63NdV69pmgA19Bf7AID/H8FDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IE321Nk6ZZ7IOgO6YW+wA4J71ekoxGSTIYLO6x0AFG+E5qR/WjR/O97+XZZzMYZDDIcDguH16N4LtqNMr27bn11nz84/nGN/L445makj2vodeYAnZN06TXy9GjueqqzM7mpZeS5JJL8pGPZNOmXHvt+HfyrxN+WCD4rnrooWzcmLm5JJmaynCYJCtX5oorMj2dLVtO/qb4WSD4TmqavPxynnkmu3fnu9/NzMx42G//MpcvzyWX5POfzy23ZOXK8UeGw/T76ZvD1Sb4zpudzZ492bEjf/hDjh9PksFgPI1/61tz++255Za8+9254IIkmZvLYCD7ugTfYe2ovuDAgXz/+zl0KH/5S5IsX565uTRNBoNs2ZLNm/PBD+Ytb0lkX5jgl4L5+XHYSR55JD/+cfbuzeOPJ8myZRmNMj+fJB/6UK67Lps25eKLk2Q0Sr9vbl+L4JeO0ShNk6mpJHniifz859m5M7/8ZZIMBun1xgt7l12WDRvyuc/l8stPfvYVJwssVYJfak7N/u9/z29+k7vvzv794/X8fn882q9cmauuyle+kquvHp/bN03m5435S5zgl6a26oVZ+h//mG9+M/v2ZWYmycn1/F4vV1yRL30pGzZk1arxB+fnx2cELD2CX8pecQX+r3/Njh05cCCPPjo+vV+4gP/2t+f22/PhD+d970tkv3QJvoT2prp2wD9xInv35sCB7N+fF19MkuXL8/LLSXLRRbn55nzsY7n++vEHRyP35Cwpgi+kaTIajaf3TZOHH86DD2bnzhw7liTLlo3n+W94Q66+Op/4RKans2LFyc/Gdr3uE3w5TZPhMFNT43qfeCIPPphvfztHjyanTO8Hg7zrXbnpptxxR1avHn/2FUsDdI7gi2rX5BdO12dn89BD2b49v/51XnghOWU9/01vyqc+lS98IZdeOh7wh8P0ek71O0nw1bWX4hYcPpy7784vfpE//SlJBoPxrp4kGzfmttvy/vePB/y5ufT7su8YwTN26iz96NHcf39++tMcPpwky5aNJwJJrrwymzfnuuvynveMP2Vi3yGC59/Mz2c0yrJlSfLMMzl4MHv3Zt++JOPxvF3Ye+c7c+21mZ7OBz6QyL47BM9/0W6/b7M/fjyPPZZdu3LffTlxIjnlbrxt27J9u0t3XSJ4XlW7/aa9jDc/nz//Obt25Z578vTTGY3y5jdnz5589KPjNX86QfC8hlM37SSZnc3u3fnWt/KOd+SBB1yf7xjBc6ZObbtpMjOTNWvM3jtG8Jw1N9J3lz1TnLV2ia7dlkO3GOGhECM8FCJ4KETwUIjgoRDBQyGCh0IEz6Ty4uv/AdfhmUi27P5vGOGZMAtb9nfuzMMPJ/b0nU+CZ8L0epmby7Zt2bo1X/96jh8/+WBNzpngmTDti7Le+94Mh9m/P0eOpNczyJ8vgmfCtLP3G2/MlVdmNMqOHf/2eF3OjeCZMP1+RqNcdFGmp5Nk37787ndJnNWfF4JnUt1wQy69NC++mHvvTTxV5/zwLDImT/uUzDVr8sUv5tixfOYzi31AS4fr8Eyk9p/lwux9OPQu2/NC8HTHK96Sw9lzSs8Ea1fsn3su+/fnggsyPa35cyR4Jt7992fbtlx8cdavz5o1XnxxLvxnyQRrJ+3XXJMLL8xzz2XPHrvuzpHgmXjr1uXmmzM3lx/8IDMzmZqy8e51EzyTrR3Pt27N8uU5ciQHD45fhcPrIngmXtPk8svzyU8myXe+k3/8I4OB5l8fwTPZ2jtnVqzIrbdmxYo88kgOHRr/nLMneCZe2/z69Vm/Pkm+9rXxS+o5ey7LMfH6/QyHufDCbN6c55/Pl7/s9dSvm512dES7Vtc045327W3znCXB0zU2250DXxxd0+/n97/P3r3jq/FGrLMheLqjbfvw4Vx/fT796fzqV0k8yvqsCJ7uaC/FrV2b2dmcOJH77kuSft8gf+YET9esXp2vfjVNkx/9KEeOpN+30/bMCZ5OaQfzLVuyalWefTYPPJDRyBremfNN0TVNk9Wrs3Vrktx7b5580i10Z07wdEq7667fz403ZvXqPP10fvjD8c85A4Kna9qNN5ddlk2bkuSuu3Ls2GIfU2cIng5qt9lt3py1a3PNNRbtzpyddnRQ+6y7l17KCy9k5cok46U7J/avRfB0XNN4F9WZc0pPl7VD/WCQ3/42f/vb+Ce8OsHTZb1enn8+N92UjRuzb1+SDIeLfEiTTfB03BvfmKeeysxM9uzJ8eMecXl6gqfjBoPceWf6/fzsZzl40Cac0xM8Xda2vWHD+GXyu3fnxAmPuDwNwdNlC4+4vOOONE1+8pM8+mhi6e5VCZ4lYcOGrFuX2dncc49H4pyG74WOax9xuWpVPvvZJNm1K489lhjk/zvB0329Xnq93HBD1q3LqlV58snFPqDJZacdS0J7Gn/oUN72tqxdu9hHM7kEz1LR7ro79Q/8B6f0LBXtir3aT8sID4UY4aEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/BMx9/kTJDgGZAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d4de67d212fc4b5439e7d2b8dac6bee715e02206fe676a50dd9d8c397a5ed385"} +{"episode": 85652, "episode_seed": 3340356734, "split": "train", "timestamp": "2025-09-16T00:20:50.866440", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3340356734, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.527087837198405, -1.2381472523280896, -56.98120934710798])", "action": "('move', [1.527087837198405, -1.2381472523280896, -56.98120934710798])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.527087837198405, -1.2381472523280896, -56.98120934710798])", "action": "('move', [1.527087837198405, -1.2381472523280896, -56.98120934710798])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.527087837198405, -1.2381472523280896, -56.98120934710798])", "action": "('move', [1.527087837198405, -1.2381472523280896, -56.98120934710798])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dc10e0e3416b5597eb22af8a02ddfca29dced8a72b640d34f6a0fc7d93c211b1"} +{"episode": 85653, "episode_seed": 3602421175, "split": "train", "timestamp": "2025-09-16T00:20:51.465438", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3602421175, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-60.12108629264923, 53.39117860034938, 58.81746645079469])", "action": "('move', [-60.12108629264923, 53.39117860034938, 58.81746645079469])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-60.12108629264923, 53.39117860034938, 58.81746645079469])", "action": "('move', [-60.12108629264923, 53.39117860034938, 58.81746645079469])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-60.12108629264923, 53.39117860034938, 58.81746645079469])", "action": "('move', [-60.12108629264923, 53.39117860034938, 58.81746645079469])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGiUlEQVR4nO3dwctlZR3A8d+59x2ZCBeJ0myMpFYuys0guBDFkJiV4CyGWmTTyj/Dpf+ChLQoCMVQLJAccJGpQYVQYG2Uwo1umhblqO89p8UV+wv0hff7+azO8uFyvvye89x7uMu2bQM07M56AcCXR/AQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkJOznoBZ29d5/T0s+v9fvb7M10NfJGWbdvOeg3AlyQ94Q+nsz+Zt95cn356Dutu27arj28/emJ3OJjznE/p4I9e+NXuxZeOl8uTTy5nuxj4QnWDX9fZn8z778+NG3NyMjPz3e+sV67sts1459zqntIfzy7+9Od5++3Ztjk9nR/8sPtpENG9xff7+eST+c3LMzPbNhcvztWrZ70m+IJFgz+O9w8/2J5//rDbzbrOo4/O3XfPzCye4jm/osEfq371xnLz37uTk5nZrv94lmV8R8n5Fg1+Zmabnz27Lsvy6adzzze3y5e1zvkXDX7b5m9/n9d/P7vdbNv2+NXl65cW451zrxj84TDLMs/+dF233TZz8eL2vUdmv5919QDPOVcMfrebW7fm5V/PzKyHuXx5d/n+ZRzXEZAL/vR0lmVe/e32j3/ulmVm1kceXu/42pyezi73YZCT+6Xd8UH9uV8ePvpoP7NcurT7/pXZNuOdhNZQW9e5cGHee2/+8MeTmWVm7rtvu//+WVfjnYTWbX44zMy88sq8++7MzIUL25UrM+O4jorQlv74VsytW/Paa5+Vf+edy7VrM/PZyzNw7oUm/HHf/te/rDdeXWeZmXnwwbnrLuOdkFDwx1/O/u713b9u7o4vwF6/7riOlkrw2za73dy8Oc8/t80y6+nc843Dww/PsgiekErwR++8s7351npyMtvMEz/ZX7hw1guCL1cl+ON+/oUXlmXZb+uc7NfHHttmvB5HSyX4mfnvf+YXP19n5nCYhx6ab3/LVp6cRPDHMf7iS/PBh7vbbptl2a5dW77yVefz5ISCf+ONuf32+fjjueOOeeCBWezn6Qn9EcXp6dy4Mc88M/feO089Nfu97+TICQX/ed46JyuxpT9aljkc/v83chAUmvCfM+HJCk34z6mdrGLwkCV4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hPwPg7T7ha6SBBcAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c7d140a13f95b42eb9af61be226441e5b9a54d27e2282ec40fe0a969200beb14"} +{"episode": 85654, "episode_seed": 2788968345, "split": "train", "timestamp": "2025-09-16T00:20:52.069426", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2788968345, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.123614841693675, -0.10179520151901661, -54.827528347340355])", "action": "('move', [-2.123614841693675, -0.10179520151901661, -54.827528347340355])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.123614841693675, -0.10179520151901661, -54.827528347340355])", "action": "('move', [-2.123614841693675, -0.10179520151901661, -54.827528347340355])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.123614841693675, -0.10179520151901661, -54.827528347340355])", "action": "('move', [-2.123614841693675, -0.10179520151901661, -54.827528347340355])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIpElEQVR4nO3d26uldR3H8e+z1tqzZ6KUAgdLIy0RHBIUlDQRQUE0h6QZ5+CMTmKIEZp1Wf+DGXgAyShnN7rHPQaFEB6gvBDLMb1IFA8xgjDjASErmcM6PF08GxULPE5r7/15vS42G/bNc/G81+/0rGc3bdsWkKE37QsA/n8ED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEP01tW5NJte20r4MYg2lfQK62raappnn3dzjajPDT0RX+2mu1Z09NJlW1+BOOKsFPQVf7oUN14421aVP99CeTqmrN7Tn6mtZdNg3jcW3dWnv21KpVdeRI++MfTX52S9/EnqPNCD8FbVu9Xp19dlW1R45Uf9Dc8vPeD2+YvLOeh6PECD8d3WB+262Tm25q26bfa2o8bn9w/eTW2/u9fk0m1fNRzFHgtpqatq0bbuzdcVsz0x9XVa/f3HFn7/vXjw8frqaxh8dRYYSfmrZdnNv/4s7xDTfUuO1X1Xhc115bt99eq1a9e2gHnxbBT9l4XP1+/eqXk+uuayfV7/VqPK4dO+quu2pmUG1pnk+T4KdvNKrBoHbe3V77vWY8rpmZGg5r+7bJ3Tt7fet5PlWCXxK6cX7XrrrmmhqNuubbLZvGc7sGMzOLf4VPztixJHQj+fbtNTdXn1nTDoc1M9PsXuhtv3L89r+r36/xeNqXyIog+KWiaRafxtn56/aYz46HoxoMegv39666avTWW9XvO5/nU2BKv7RMxtXr1+9+O9mxo/75dm8wqNGoXX/p+Df3Do491nds+KQEv+R0e3gP/H6ybVv96+1et56/9OLJ/EL/mGPs4fGJuHeWnMGgRqNa/+3e/Hxz7OfGw2HNrm7+8FBv88bJP96q7twOPh7BL0Vd899a39y7u/nC5yeHD9XsbPPgI73Nm+rNN+3h8fGZ0i9d3Wncww9Otl/dvPFG053PX3RR3XNPrV1rbs/HIfglrWv+0Udr69Z69dXFZ3LOP7/dPd988Uv28PjIBL/Udc0/9lht3lz799dgpkbD9txvtAv39044QfN8NCaFS12/X6NRnXde7Vlov3xiOxrW7Gzz+F96G74zeeWVxdN7+JAEvwwMBjUc1rnfbO5bqJO+0h4+XKtX1xN7m40bJvv2LX4iwIch+OVhZqZGozrnnGb3fH3tq+2hQzU72+x9stm8qX3ppRoMjPN8KNbwy0m3nv/rk+2VW+vFv3f79u2ZZ9b8fHPqqfbt+WCCX2a65p/5W7t5Sz33XDMzqOGo1q1rFxaadevs4fEBjAjLTLdi//rpzZ49dfrp7XBUq1bVs882GzbUM894NxYfQPDLT/cc3rp1ze7dzRlntEeO1Jo19fzztXFjPf109Xo1HE77ElmqBL8sdc2fdlrNzzdnnVUHD9bq1fXCC7VlS+3du/h8Dvw3a/hlrFvPv/hiXXVVPfFE9z8t6pRTam6uzjnHe3L4HwS/vHU78/v21fZt7eN/brqR/6ST6p576txz7eHxfqb0y1uvV5NJnXxy3bfQXHDB4vvwXn65rrii/vTH1nN4vI/gl73uG/Innli7dtWFF9ZwWKtX1/79tW1788jDre/S8l6CXwm6qk84oXbtqosvrkOHas2aOnCgrr66eejBtntDpqUbJfgVo2v++ONrbq4uuaQOHqzZVfXqa7Xju80DD3gCj0VuhJWjG8nXrq2dO+uyy9rDR9qZmXr99TpwYNpXxpIh+BWl28M77riam2suv7wZDuvmm+u66zx+xyLHcitQdwK/f3899VStX19VzudYJPiV6b2Fq513mNKvTF3h3Ye52nmH4FcyqfM+gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wH30hfihdufFgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2eb7e1d445ef00c70c7b16a858ef6f4196e03545334c09569201da1dbdccf5fe"} +{"episode": 85655, "episode_seed": 664449910, "split": "train", "timestamp": "2025-09-16T00:20:52.990994", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 664449910, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7466224703969095, -2.6104598651824724, 32.06770542226881])", "action": "('move', [-1.7466224703969095, -2.6104598651824724, 32.06770542226881])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7466224703969095, -2.6104598651824724, 32.06770542226881])", "action": "('move', [-1.7466224703969095, -2.6104598651824724, 32.06770542226881])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7466224703969095, -2.6104598651824724, 32.06770542226881])", "action": "('move', [-1.7466224703969095, -2.6104598651824724, 32.06770542226881])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e7d72f9b7849882073fdb5b24e7deb7144fa2b378c352ca4f10a49270ece39ed"} +{"episode": 85656, "episode_seed": 4191010191, "split": "train", "timestamp": "2025-09-16T00:20:53.590305", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4191010191, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.67988638391448, 3.948018228213453, 38.12546275875737])", "action": "('move', [-9.67988638391448, 3.948018228213453, 38.12546275875737])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.67988638391448, 3.948018228213453, 38.12546275875737])", "action": "('move', [-9.67988638391448, 3.948018228213453, 38.12546275875737])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.67988638391448, 3.948018228213453, 38.12546275875737])", "action": "('move', [-9.67988638391448, 3.948018228213453, 38.12546275875737])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c8d7bc3d6e26ee2cc1582929bd9e18c264bf9ad6b3fabf69a6623222bc2201ac"} +{"episode": 85657, "episode_seed": 3024666607, "split": "train", "timestamp": "2025-09-16T00:20:54.185625", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3024666607, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.406375675455467, 5.114919488284611, -4.839773191877043])", "action": "('move', [6.406375675455467, 5.114919488284611, -4.839773191877043])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.406375675455467, 5.114919488284611, -4.839773191877043])", "action": "('move', [6.406375675455467, 5.114919488284611, -4.839773191877043])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK1klEQVR4nO3cf2hV9R/H8dc5915/NY3KiqQQ3R+TfmBIUlTTIlvZdGZSosaMTNSEaAgRiP4f/RURQlaEpJlpkYltlpSblBYurOyfjQLNLM1Va6Pa7r3n+8c5bWt+09Lt3ru9no+/5vVuO3/suc/nvM85C6IoEgAPYbEPAEDhEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggfOKooURcU+iAFD8MBZBYGCQPn88Mie4IGzOnVKx48rDBUEymaLfTQXiuCBfxBF6urSypWaMUObNqmzU+m0slnl88U+svMXRMNiowIMsChSEOjoUd14o37+WZLmzdPq1br7bknK5ZRKFfcAzw8rPPD/BIEkXX65du7UvHmS9M47evBBPf64jh0borWLFR44t44Ovfuu1q9Xa6skTZqkujqtWKERI5JJXvzbYSggeOCsenbvbW165hm9/LJOn9bkyWpoUHm58nmlUsrlFAQKh8B+meCBc+m7jDc3a+1azZqlNWuUzSqdVkeHysokJf8sbQQP/GvxJE9Sd7cyGUnq6tKSJbrpJq1cqYsvVjarVKqUd/hDYBMClIr4DpxcTpmMcjlJeu45bd+up59WTY127FA6rSAo5Vt0CB74L8JQqZSiKDljnzNHtbWS1Nio2lotWqTW1lJe4dnSAxcmm9WePVq3Ts3NknTZZXrqKa1apbKyEiyf4IEL0HNW/8cfevZZvfSSjh6VpCVL9NpryfQ+nvOXxgy/JA4CGKri2qNII0dq3TrV12vxYk2YoAULktfDUJmMwjA55y82VnhggPRcsf/0U02fLklBoOPHtWGDnnxS48crn0+evSseggcGTvxcTbx7j3f7ixfr9dc1darq6rR0afK2nhOBgmNLDwyc+CnaePceX5+75BKNGqXDh/XYY6qu1uHDyX8VCSs8MMj27dP69WpslKTRo1VXp9WrNWFCUY6F4IHBFO/eo0jPP68XX9SRI5JUXq5XX9XttyubTfb/hZrhs6UHBlNcexTpiSe0c6fWrFEqpRMnkift4kduwrBgf1SDFR4oiJ7b7xsa1NGhBQuS4FtblUpp0qTCHAXBA4XSd4afzysM1dWlykp9953WrtXy5cpkBnuAz5YeKJSeGX5P1Z99ppYWff+9Vq/W1q2SBvvvZBI8UEBBkDw/Gwd/221qaNBDD0nSL78U4PuX+vP6wHAWRZo+XW+8oWnTdP310qCP6zmHB4oqvkunUH8Vk+CBYouiZIY3+HfgETxghKEdYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwRuJImWzyueLfRwoniCKomIfAwqtu1thqFSq2MeBgmOFtxD/Vv/tN+3erZYWZTJKpZTPs9rbYYW3kM0qndbHH2v2bF15pSortXChqqp63xD/FARBsQ4QBZIu9gGgEFIpRZF27VJ7u9rb1dKiN99UebkWLtTDD+vqq5PUo0j5vMKQ8octVvjhL4oUBGpr06JFev/93sU8/mD0aFVXa9kyTZumK65IPqW7W6mUQk74hh2CtxA3/8MP2rJF9fX6/HP99JP018ofn8lXVKi2VnfeqalTNWaMxGxvOCJ4Rx99pPfe0969OnRIksJQ6bS6uiRp5EhVV2vWLFVVqbxckvJ5RRH7/GGC4I1EkXI5hWGyVz92TAcPavdubd2q33+XpHRa2Wzy5muv1S23aP58zZnzt68gZntDGcHbibOPImUyktTdrW+/VX29XnlFhw8n7wnDZJ8/dqzKy7VggZYu1TXX9H6R+BcH5Q85BO8r3qv3nKL/+acOHdKGDfrgA5082f8SfVmZ7rpLK1bo5pt16aXJi9msgoCT/KGE4N1FUXKK3qOtTZs36623dOSITp2SlNylE/+kTJ6sRx7Rvffquut6Z3tx9iz4pY/g0atf/I2N2rVLjY06eDB5ZcSIZLYXhrr/ft1zj2bOVEVF8rlcwy99BI/+4pP8nr36iRNqalJDg7ZvV3u7JGUyyuWSPf+UKbr1VtXUqKam9+6dGOWXIILHP4qr7pnttbZq3z5t3Kjm5uQNfWd7FRWaPVvLlmnixN6vkM8rCCi/hBA8ziF+xib9103YnZ368ktt3KidO9XW1n+2N26cZszQ8uW64w6NG5e8GM/22O2XAoLHv3LmbO/XX7Vli7Zt09df6+RJqc/tupImTtSjj+q++1RRobFjJSVX+JntFRfB4z/rd/vNJ59oxw7t398728tk1N2dfDx3rubOVWWlpkwp+IHiDASP85fLSUpmez/+qA8/1N69evttnT4t/X22V1GhmTNVVaXqao0aldzbj8IjeFyovrO9KNJXX2n/fm3apAMHkjf03LF70UV64AG98ILGjqX54uABSFyoVEqZjPL5ZDh3ww1atUp79ujAAa1cqfHjk41AOq3OTl11lcaMofaiYYXHQIpne30vxbW3a9s2bd6sL75QZ6eamjR9unI5bsgtDoLHoDjzubqmJn3zjebP17hxrPBFQ/AYdP2e0kERETwKJH4ml+vwxUXwgBGm9IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8DpGDUFT19TI0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.406375675455467, 5.114919488284611, -4.839773191877043])", "action": "('move', [6.406375675455467, 5.114919488284611, -4.839773191877043])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKvklEQVR4nO3dW4iVVQOH8WfvPTNqR8rqwg5g0pEgsQN0MCPsoowMLKM0o0isFEs6iVI3ERRFEakdMMgQNLILLSuDCKNulAyD6CSVmVqIJTSV6T58F/t1nO+rrK909p75P787xxl8EZ5Z6117vestNRoNJGUot/oCJPUdg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8NI+NRo0Gq2+iP3G4KV9KpUolajXB0b2Bi/t07ZtbN5MuUypRLXa6qv5twxe+hONBrt2ceutXHQRL77Izz/T0UG1Sr3e6iv750qNATFRkfazRoNSiW++YeRIfvwRYPx4pk/n0ksBajUqldZe4D/jCC/9kVIJ4OijWbGC8eMBli/nmmu4/XY2beqnteMIL/217m5efZUHHmDDBoDhw5k1i2nT6OoqVvKavx36A4OX9qln9v7DDzzyCM8/z/btnHgiq1YxYgT1OpUKtRqlEuV+MF82eOmv9B7G161j7lzGjuWuu6hW6eigu5tDDgGKP7Y3g5f+tuZKHrB7N52dALt2MWkSZ5/Nrbdy+OFUq1Qq7TzD7weTEKldNHfg1Gp0dlKrATz5JMuWMXs2V17JK6/Q0UGp1M5bdAxe+n+Uy1QqNBrFHfsVVzBlCsC77zJlCtddx4YN7TzCO6WX/p1qlbfe4v77WbcOYOhQ7r2X227jkEPasHyDl/6Fnrv6nTt59FEWLuSbbwAmTWLx4mL1vrnO3x5r+G1xEVJ/1ay90WDQIO6/nzff5PrrGTaMCROKr5fLdHZSLhf3/K3mCC/tJz2f2K9ZwznnAJRKbN7M009z550cdRT1evHsXesYvLT/NJ+rac7em7P9669nyRLOPJNZs7jxxuLbem4E+pxTemn/aT5F25y9Nz+fO+IIBg9m/XpuuYVx41i/vvirFnGElw6w1at54AHefRdgyBBmzWL6dIYNa8m1GLx0IDVn740GTz3Fc8/x8ccAI0bwwgtceCHVajH/76s1fKf00oHUrL3RYOZMVqzgrruoVNi6tXjSrvnITbncZ4dqOMJLfaJn+/2qVXR3M2FCEfyGDVQqDB/eN1dh8FJf6b2GX69TLrNrF6NH8+23zJ3L1Kl0dh7oBXyn9FJf6VnD76l67Vq++IItW5g+naVLgQN9TqbBS32oVCqen20Gf8EFrFrFxIkAO3b0wb/f7s/rSwNZo8E55/DSS4waxRlnwAFfrvceXmqp5i6dvjoV0+ClVms0ijW8A78Dz+ClIC7aSUEMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg1fr1etUq+38ztWBw4dn1C6aZz22xyvYBiz/d9V669Yxf/5/1e4wdIAYvFrvwQeZOZOzzmLhQn79FfYc7txXZzcHcUqvlmke5fj224wdS6VSHP1yyincfTdXXskxxwDFmxqc5+8v/keqZZpjzYYNHH98UXtnJ599xtSpXHQRCxbw5Zd0dBSnOTva7xeO8Gq9Dz9kyRKWLmXTJoCuLnbtAjj9dCZPZuJERoyAXq9j1j9m8Gqxnow/+ohXX2XePL77DqCzk927AU47jfHjmT6d444rfqR1b1vu9wxerdd8NUNHB8DGjSxdyhNP8P33wN57+xNO4KqruO++va9drdf3nu+uv8ng1S5qtb0Ht/7wA889x7PP8vXX0Cv7ww/n5puZMYMTTwRoNKjVit8U+jsMXu2l93T9p5+YP58lS/joI4COjuJFTIMHM2MG113HqFEA1WrxQhf9JYNXm+opf8cOFi1i2TLeew+gq4tajVqNgw/mppu4+mrGjAGo1YqXL2sfDF7tq/eMfds2XnuNRYtYvRqgo6O48z/ySC67jFtu4eKLix8Bb+z/lMGr3dXr1GrFu9W3b2f1ah5/nPffByiXi8/nhw7l/PO55x5Gj977Uy7p/Z7Bq3+o16nXi9H+11955x0eeogPPuC334p9uMCQIYwZw5w5nHsugwaBG/V+x+DVn/zPjH3lSh5/nDVr6O4uvt78hssvZ+ZMzjuPww4D2L2bjg5HezB49VO9F/OXL2fRIt54g507qVQol4sdO1dcweTJXH45hx4KbtQDDF79Wr1Oo1Fk/PrrLFvGokXU61QqlErFZ3hjx3LttUyZQleXS3oGr/6v50a9VmPtWhYu5Pnni79q7tgplTj3XG64gWnT9u7Sydyfa/AaCHp/gFet8umnPPYYL7/ML7/AnsX8cpmTT+aOO5gyhYMOAooV/qglPYPXwNE8M6PnRv3zz3n4Yd58k61bodf+3OHDmT2bceM49liAajVoc67BawDqPV3/+GOeeYaVK/nqK+j1EN6IEcyYwbhxnHRSy66z7xm8Bqze8/z161m2jMWLi6dxeh65P/VUbriBOXNSbukNXgNc8wzsri6ATz5hxQrmzePbb2HPaH/JJbz9tsFLA0jz7r15e79lS/HIfTP7Dz9k5EiDlwac3hvsf/qJBQvYuJF584IW6g1ecUIG8z8U85tN2qOn9uYDOVEc4aUgjvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXgvwHmerbcR28VRgAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIFElEQVR4nO3bX6jfdR3H8ff3+/udHdpEFNv0wl1pKYIXE/IqQQwKNUphMAqxqM3+gJItzNzSNZSDU0gQSxCWomGCFvZPI+vGNAqSQSDsoqAc3cycRJvOc37fTxc7HjZZoXX+rdfjcf29+Pwunnz+nPfpWmsFZOhXegHA8hE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8/FvDUK2t9CIWVdf+z34QLIHWqutWehGLwQ4PJzGZVFXdf38980xVVddVazUMK7uoRSB4eKfJpEaj2revZmbq6qtr29bhz39qXVd9X7Ozp/Yh35EeTnBsJz98uLZsqWefrenpOnq0nXVm23l79+lP1Yazu8mkjsV/Kjo1Vw1Lqe/rzTfrgguqajh6tNas6f5+qL/55rZ5c/3wqTYaVd/Pn/lPOXZ4eKeFJ7qf/bTdvaeef76quqk1NftWrZlq115bO3Z2F198wpenCsHDSSyU/Npr9f3H2q5d7bVDfddVddWGds45bevn6tbb+nXrqqqG4ZQ54QseTu7YZX40qqp65UB98xuTJ3/UHT7cj8c1N1dVdeGFNTNTV15Z09PzD/irP3vBw39y/KH9uV+23bvb87/pqrqpqZqdrarasqW+fkvbdElXVbOzNR6v6kO+4OFdOXZun0zqgfuH7zzY799ffV+jUc3OttPWDl/Z3t+wrTZu7Fb5Vi94eLeGobquuq7276+HHqr77qvJpN7e6tumTe3LX+q2butqFT/mCR7eg9Zqbq6mpqqqXnyxdt8x/OK5vmo++1FfV1w+3DnTX3rp/MdVq6t8wcN7dmwUr6qOvllPPNFu3zn85cCoqkajmkxq3dp2w9bh1h2jDRuqqubmajRaLdkLHv4brVVr83f1Q4dq1x3D4z/oDh7sRuNqQw1DnXtu3XVXXXNNnX56rZ7hPMHD/2Thuv7CC+2ee+rpp1tVv/CGf9VVtf2r7YqPzL/hH7sLrCDBwyKYm6vxuIahHn9suPfb/b591XU1HtfsbK19X/vMZ2v79u6881b+Vi94WByTSfV9dV0dOFAPP1wzM3XkSI3HNTepanX+ecMXv9Dd/LWu76pW7hlf8LBoWqvJpMbjqqqXX66dO4Yf/6SbTLqF4bwPXTK5+97R5ZdX163McJ7gYZEdP1r/1FP1rduHP77cV9Xb2bdtn2+33Nqdf/4KDOcJHpbEwqH9jSO1Z0/bu7f++kqNRl3X1dxce/9ZdduO7rrrav36ZX3DFzwsoYXd/qU/tAceqL3fa1X9mql6a7aq6rLL6qabavPmE75cUoKHpXX8cN4zPx/uvLN78be18O8309P1yU8Md+zqL7poOZoXPCyHheG811+vRx+t3bvr1Ver66qrGlqtXz88vLeu+ng/mavReAmXsQpmfyDAaDT/hn/GGXXjjfXSS3X99XXauhparV1XBw/2B/7WV9WwxPuv4GGZdN189lW1cWM98kg9+WS77MPDG0daVU1PL8caBA/LauEvcMNQH/1Y96tf9w9+t845e/jnP5bjcu0ODytm4WL/+9+1M8+sD3ywW+oJPMHDSjr+DX8ZCB5W3sIc/lITPATxaAdBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gU6t9pBjt5+eQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "afa1eb068d0c1d819db74b7700b096770f56597c096b2314685b1954b808368d"} +{"episode": 85658, "episode_seed": 3688459442, "split": "train", "timestamp": "2025-09-16T00:20:55.145655", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3688459442, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-114.82509385798903, -35.92661143155889, 58.42810275024226])", "action": "('move', [-114.82509385798903, -35.92661143155889, 58.42810275024226])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-114.82509385798903, -35.92661143155889, 58.42810275024226])", "action": "('move', [-114.82509385798903, -35.92661143155889, 58.42810275024226])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-114.82509385798903, -35.92661143155889, 58.42810275024226])", "action": "('move', [-114.82509385798903, -35.92661143155889, 58.42810275024226])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "10366184f8ff8fc9624c2e7460e75a8e8c9a10e5a04dcb3e0cd09c8ad6f8e503"} +{"episode": 85659, "episode_seed": 967239631, "split": "train", "timestamp": "2025-09-16T00:20:55.745297", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 967239631, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.70970876011257, -73.44269095279503, 12.777163564844443])", "action": "('move', [-48.70970876011257, -73.44269095279503, 12.777163564844443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.70970876011257, -73.44269095279503, 12.777163564844443])", "action": "('move', [-48.70970876011257, -73.44269095279503, 12.777163564844443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.70970876011257, -73.44269095279503, 12.777163564844443])", "action": "('move', [-48.70970876011257, -73.44269095279503, 12.777163564844443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "994450f5634c675df43d3c96bcc7596494a33361f2cdf358a0f03b6a42084866"} +{"episode": 85660, "episode_seed": 2320647952, "split": "train", "timestamp": "2025-09-16T00:20:56.344193", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2320647952, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.10364435107588532, 1.0077314927071297, 22.07190329086303])", "action": "('move', [-0.10364435107588532, 1.0077314927071297, 22.07190329086303])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.10364435107588532, 1.0077314927071297, 22.07190329086303])", "action": "('move', [-0.10364435107588532, 1.0077314927071297, 22.07190329086303])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.10364435107588532, 1.0077314927071297, 22.07190329086303])", "action": "('move', [-0.10364435107588532, 1.0077314927071297, 22.07190329086303])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "138c8c1e7558881086a096a3cd5c83c97190da6f17eab388e80948a7fc199be8"} +{"episode": 85661, "episode_seed": 3459531531, "split": "train", "timestamp": "2025-09-16T00:20:56.937218", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3459531531, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.3663783871644597, -4.993593561108293, 4.006433046316242])", "action": "('move', [3.3663783871644597, -4.993593561108293, 4.006433046316242])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHmElEQVR4nO3ay2tcdR/H8e/c0hTbQEAQarNSkKDipUFp3LhwL7hwIYhr/wX/C8GVW/8H9y5KFJIqKMZbtWojgpQQS2mbSebnYs6TND7Bx4diLn5eLw7DZPI7J2cu73Ob9FprBWToH/cKAEdH8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBkeNwrwBFprSaTmkyqtb87S7/fTfxr9Nrff/+JNN1S9HrdxKkm+AiTSV27VqurtbZWn39e43ENhzUY1GBwSMnTT8SFC7W0VJcu1XPPHbLA+z81tgKniOBT3L5dv/9eW1t182Z99lmtrNSVK3X9+l/NMhrV3FzNzdVTT9Xly7W8XM8+W+fP//kg3yHAKSL4aFtbtbZWKyu1slJffdVtEba3Dx/c79fZs/X007W8XJcv1zPP1Px8zc3VzMzRrjQPQPBB9t7qQ/fDOzu1tlZXr9bqan33XW1s1C+/1J07+wOGw+6y354nn6znn6+lpVpcrAsXamGh5ub+ySfAAxN8uta6aTA48Pj6eq2v15df1jff1Ndf1/p63bq1/9uZmWqtxuP9Ry5erLffrnfeqd3dPy+Kk8PXcun2Tryn2U/34cNhLS7W4mK99lpV1c8/108/1fXr9cUX9emndfVq/fbb/hKm1/9u3KjNzaoS/IkmeDrT8qcX5Fqr3d2u/9GoFhZqYaFeeqmqamurNjdrY6NWV+vjj2tlpX78sXZ2amamXnyxqnxvf6I5pOd/2Dvmb62GB3cQk0ndu1e//loffVQ//FBvvlmPP16TieZPLsHzf5h+WKa3qj6NBM+D+uuL/5wozuF5UDo/RRyWQRDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5Dhca8AwVrbv9/rHd96BBE8x2ra/P3lt1a9Xg0G3Y+7uzWZHBgw1evVcNhtJlqr8fjwTcZgUP3/HMZOF7U3rLUDv83Qa//9UgL/UvbwHLnpPnxzs95/v27cqNGoWqt+v5t6vVpcrLfeqsmk+v368MNaW+se37udTGp+vl59tR55pKrq5s364IOanT0wZjisO3fq5ZfriSeqqsbjunKlNjbq7NmqqsGg7t6tpaV67LHjfCmOXoMjtrvbWmvff98efbRVHTK98EJrrd2711prr79++JjZ2fbJJ90C19YOH1PV3nuvG7O52V55pVW1M2faaNQeeqj1eu3dd/fXJ4M9PEduehZ97ly98UZ9+20NhzUeV2vdOfb2di0vV1V3dn3pUl27VqNR7ezUZNJNd+/WxYt1/ny3wJmZevjhbsx0Ibu71e/XrVt15kw3ZjpjVTemte4vhnEOz/GZRtjr7V+Tm97p9/cv2k37vN+01X6/RqNuozDdBBy6/NnZGg67uW7fru3t/a3GeFzz83Xu3D/z3E4owUOQrO8kYF/krk7wpIr8Vx/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5A/AJFVINTeBg4dAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.3663783871644597, -4.993593561108293, 4.006433046316242])", "action": "('move', [3.3663783871644597, -4.993593561108293, 4.006433046316242])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.3663783871644597, -4.993593561108293, 4.006433046316242])", "action": "('move', [3.3663783871644597, -4.993593561108293, 4.006433046316242])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "821b4555a74d131848ec40539f4eb8d521df05f3d738386fc2d398677a79d4a5"} +{"episode": 85662, "episode_seed": 3441680636, "split": "train", "timestamp": "2025-09-16T00:20:57.884476", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3441680636, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.9236211475933986, -3.1435466441523814, 5.501720941172446])", "action": "('move', [-1.9236211475933986, -3.1435466441523814, 5.501720941172446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.9236211475933986, -3.1435466441523814, 5.501720941172446])", "action": "('move', [-1.9236211475933986, -3.1435466441523814, 5.501720941172446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.9236211475933986, -3.1435466441523814, 5.501720941172446])", "action": "('move', [-1.9236211475933986, -3.1435466441523814, 5.501720941172446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG4klEQVR4nO3dz6tc5R3H8e9zzsWgCIYQ09KCIuIibooapAW7aIxWawKSlYUiFGIX8eIfoH+DG7H5AxQ3dtMUTVEu3bqxhVYiurQilaCUSCXeMHOeLubSVXfO3DP6eb1Wl7uZZ/M+3/PjmTOt915AhmHuBQCHR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZGfuBfx/vR/80dqs64Dvly0NXuewCVsX/HJZ41gvv1zXr9fubh07Vjtbt0b4rmr9f2fPW2C5rGGof37Sn3iiPvq43XZbvfhivfTSwVEA+Ja266Zd79VavftuffRxDUPd+ObgYn6bDkrwHbZFwU9TjWN99VVd/lOrar3X8aPLixeryniH9dii4Kuqtfrg731vb7mzU73X0+eHY8cOxj7w7W1R8MNQ01Rv/qH291cDfbq425zMwxptS/CrsD//V3/9tWkYajnVmTPt/pPVmvEOa7Mtwa/88XL79/VxHKtP/cKFuuUWt+tgnbYl+NZqmurS75dVtVjUvff0nz9S5f48rNVWBL+qem+vPvxwGMfqvf/m2eEHP2zTVMNWLBC+J7aip2mqqrp0qaq1aarjx+uXj/dxNN5hzebftroa41ev1nvvHRR++nT76c/KeIe1mz+p5bJaqzfeqGvXqrU6cqTOnavWDv4PrNHMwa92133xZb3zTlVV73XyZJ09W9PkOzOwfjMHv/q2zJ/fnq5e7W2o1uqpX/WjR2uajHdYvzmD7712durGjXrrrba/X9Xrjjvqud+13m2eh42YM/jVGP/gH9OVK9Va61WPn1nefbfN87ApcwY/DLVc1ttXhv983caxqvfnd8fyuhvYmNlegLEa49c+76ce7p99NkxTPfCT5ft/HQcn87Axs0341Rjf+0v79NO2s1NVffeFcbDZBjZp5mv4V19ZDkNbLOrHP+qPPqp12Kw5H3YvFvX+34aqmqZ65tfDXXfNuBaIMPNz+NbaNNWtt07nzk6t1WLhjh1s0MzBr7bTPfbY8NCpYbXrDticmR/LLRY1jvXkk3X77TbPw8bNGXxrdfNm3XdfnT9fdtfBIZj1Ln2v1vqZXyxPnDjYVA9s1JyR3dyvE3fWby+MvasdDsPMz+FPPTQ9+GAJHg7HnJ0dOVK7L4y21sGhmfnHJBcLL7qAw7Ndvx4LbNTMl86ONnCYZt9aO+/nQxY3xyGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwFCXxD7EEaQ8gAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c883ebcb091445241692687db01fd4594cbc9910501f46fe9cb2e49ba29dc2b9"} +{"episode": 85663, "episode_seed": 561929430, "split": "train", "timestamp": "2025-09-16T00:20:58.497683", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 561929430, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [42.71900413292543, 5.6552924627835255, 59.60088160958863])", "action": "('move', [42.71900413292543, 5.6552924627835255, 59.60088160958863])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [42.71900413292543, 5.6552924627835255, 59.60088160958863])", "action": "('move', [42.71900413292543, 5.6552924627835255, 59.60088160958863])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZElEQVR4nO3db2hV9QPH8c/9u7mKyv6RGj3wgSOViPJRhVER9cDhKBjpQIqFaGY0YpS0CFIyjILakobgwsEQC2IRQWUwrCeNzHyQNUFrFUITQcXa7r3nnt+Dc5jy6+cPnNfde87n/Xp49uRc7n3f7/ec7/eeZcIwFAAP2XqfAIC5Q/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP5ep8A0PDCUJWKwlC5nHK5ep/NZcmEYVjvcwAwR5jSAxcXDYenTmnjRrW16fPPzx9MJoIHLi5q+48/tHOnPv1U09OSVK3W96QuB9fwwMVlMpJ06JCyWS1ZomXLzh9MJkZ44OIyGVWr+uYbhaGWLtWCBfHBxCJ44P+qVDQ6Ggff0qJKpd4ndFkIHriI6AL+2DGNj6tY1NKl8UFGeFwoyfd08C9Hj0rSwoXxBXw22cmwDl9j0QCQ8GEAF6hUdPKkTpzQHXeoqSnpby3B10wYqlpVLqc//9TChQqCpG/KghQECkPl07OYlez5SaPJ5fTll1q1SgMDyuWSfn8HUi4X156WcTE9X131FU30DhxQV5cmJtTdrakpbd6c9AmgsWpV2az279fhw7rvPq1YUe8Tqg1G+NqIqv7iC01MqFjUuXPq7tbWrfHxtAwPToJAkgYG1N2t3t7zRxKO4GsjSvqll/TCCyqVlM+rWlVvr3p6VK0qk0nHp8VGdN1eKun4cUlavLjeJ1QzBF8b0Z35q67S22/rlVfiO3bZrHbs0MaNmppSLsdyXXJEX9KHDmliQpmMHnpISvYGuxkEXzNR82Go11/X9u1x3rmcPvhATz+tM2eUzTK3T4hqVWGogwf111+aN0/33isRPP4l+kgEgXp61NenXE5BoHxew8Nas0YnT8ZfCmh0mYwyGR0+HO+oveWW+GDyEXyNZTLKZlWpaMMG7d4db75uatJnn+mJJ/T77/HPMdC4qlXl8zp9WkePKpPRAw+k6Uua4Gsvk4kX4deu1fCwbrxR09NqbtboqNrbdeRI/I2ABhXl/dNPOnhQYaj770/TxIzgr4hMRvm8KhW1tWnvXt1+u6am1Nys77/X44/ru++Uz6tcrvdZ4n+K2j59Wi0tuvZa3XVXvU+olthae2VFt+vHxrRunY4cUaGgclm33abBQT34oCqVNO3aTJ1ff9X4uFauVFNTvU+lZgj+iou2bP38s9ati8f2SkU33aRdu9TWFv8VjSVabknjG5PCl9RoslkFgVpb9fHHevhhVSoqFDQ5qc5O7dmjbJZ7eI0nuvWqlOyuuxDBz4VofW7RIu3dq9WrVS6rWNTZs+rqUn9/vD7PTKuB/Pij3nlHx46lb5BP2+tpWFHz8+dreFhr16pUUrGoUkmbNumNN+J1X5pvCGGoffvU3a3163XqlJSqR5oQ/NzJ5RSGam7Wnj3asEGlknI5ZTLaskUvvxxPHmm+/qam9O23krR8uW64Id5mmxYEP6dmPjnvv6+eHgVBvGi/fbuef16lEtty6ir6uj1zRmNjkrR8uaT4TUoLgq+PINCbb2rbNlWrCgIVi+rvV1eXzp7lNl69/fCDzp3TzTertVVK/EPs/kuqXkxSRPeAg0Bbtujdd1UoqFRSU5OGhtTZqcnJ+K+oj/37JWnx4jj4FA3vIvh6mWn+uee0a5euuUbT02pq0siIOjr02288IaseorYffVTt7XrkEV1/vYIgZSM8G2/qLHoG1siIuro0ORlvxbv7bg0NqbWVJ2Gixgi+/qLmR0f11FM6fjxufskSDQ3pnntofs5FmyKildLUSdV0JaGiB2CtXKl9+7RsmcplFQr65Re1t+vrr+MFfMyd6HIrjbWLEb5xRD+kGR9XZ6fGxuJtOfPna3BQq1ax5R61QfANJJq9nzihjg4dOBA339Sk3bv15JPxInFKBx7MEUaNBhI96PLWWzUyosceU6mkQkHT01qzRgMD55+ZB8wawTeW6Ic0112njz5SR4fK5Xj77fr12rGDn9ngchF8w4lG8nnzNDioZ56Jd3bm8+rpUW9vPKVnKx5mh+AbUdR8sai+Pr344vntt1u3avNmlctsxcMscdOucUU/0wpDbdumV1+VFC/Rd3Zq505dfTX/uA6XjOAb2kzSfX3q6dE//8TL8qtX6733tGhRvc8PScOUvqHN/C/KTZs0MBBv7i4U9MkneustiYt5XCKCT4YgUGenPvxQCxaoXNaKFXr2WSltv93EFceUPjGirXhffaX+fr32mu68k2t4XDKCT4yZRyf//bdaWthsi9kg+ISJRnXGdswOY0TCUDsuB8EnD7Vj1ggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIflCyFFdMf4RsAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJm0lEQVR4nO3cW49dZQHG8WfPtFOLKQEhIsiFTZNiWgGbACYgQUM5GCnEeONn4HvwGUz8BEZCQqoFD4EGhIum2MHW9KJgUVJDQ4hQjIjtzN5e7OXMtGmNtmPn8Px+V83ah3l3O/++a71rrT2aTCYBOsys9QCA60fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUGTLWg8A1r3JJAsLmUwyO5vZ2bUezTUZTSaTtR4DcJ3YpYcrm06Hf/1rnn02Tz+dl19e3rgxCR6ubNr2mTP58Y/z85/nn/9MkvF4bQd1LRzDw5WNRkny9tuZmcldd+Ub31jeuDGZ4eHKRqOMx3njjUwm2bs3d9wxbNywBA//0cJCXnttCP6GG7KwsNYDuiaChyuYHsCfPp1TpzI3l717h41meFgV43EWF9fZKvg77yTJV786HMDPbOxknIdnjU0mmUwyHmdmZl3WtLCQjz7KBx9kz55s27bRZ3jBs2am8/lolC3/Pln04Yc5fTonTuQHP8itt67p4Kam+xtbNs/JrM3zSdgoJpOh89nZYUo/fTrHjuV3v8ubb+a3v02SHTvyox8N0/5aWrqQdoNP7EsEz/WwtB85Gi1P6SdO5PDhHDmSEydy4sTwhOlDBw+udfDTn/3KKzl+PN/+du6/f43GscoEz//L9OB8WvjK2fHIkRw8mNdey5//nDNnlrePRsNdKkk++mgobs1m1sXFzMzkJz/Jz36WJ57IL3+ZxcWNfudMBM+qG48zHg977NNWFxZy7lzeeisvvphf/zpnz+azzy591exsvvjF7N6dAwfy1FPZvXtNd+anx+3nz+e995Jk1661G8oqEzyrY+UK3LTVTz7JmTOZn89LL+VXv8rHHw/PXFnyF76QO+/MXXfliSfy1FPZuXMNRn4Z43FmZ/P223n//YxGefTRZGNfYLdE8FyT6XyeLHf+wQc5fjzHjuX113P48HC/yWiUubmcPz+8ZMeO3Htv7rknDz2U7343t98+vNvKQ/21ND2cOHYsH36Y7dvz0EPrYEyrQ/BcjaUyl06enz6d11/PkSOZn8/8/ND2UueTSc6fz0035ZFH8uCD2bcv992Xm28e3mRhIaNRZmbWTVPTVYfjx4cram+7bdi48Qme/8rKFbis+OU/eTKHDuXVV/Puu3nvvSwuDttnZ4dz2OfP5/bb873v5bHHsndvvva17NgxPOfChaHz9XWeezzOli05dy7vvJPRKN/5zqY5JxfB85+Nx8NkvrQCl+Qf/8j8fA4ezMsv5/338+mnl7lDfMuW7NqVAwdy4ED27s1NNy1XPV2Hn5nJ1q3X50P8j6Yf+OTJHDuWySQPPzycP9gUzQuey1h5ZD712Wc5ezZ/+EMOHcqhQ/nLXy7zqq1bc9tt2bkzjz+eZ57J3Xdf+p7JRdfVrVPT4M+dyw03ZHEx+/at9YBWk0trucjiYsbj5bn3449z8mSOH8/hw/nNb/LJJ8P2rVtz4cLw523bsmdP9uzJww9n//5Lz2FNf7825Oz4pz/l1Kk88ki2bVvroawawXMZZ8/mjTdy9GjeeitHj+Zvfxu2z83lwoWh4e3b8+CDeeCB3H9/vvWt4bshkuEwfh2twF2F6YrFeryV51oJnuTfl4pfuJAXXsjzz+fdd3PqVD7/fHh0y5bl73248cY8/nj278+992b37nzpS8P2pRW4TZXJpri6biXBk2S4QXU0yg9/mBdfvPTRmZl85Sv5/vdz4EC++c3cemu2bx8eWlqB21Sd//73efXVPPNMdu7cyDsql7HO10+4TkajLC5mbi733TcEPxrlllty55157LE8/XQeeCBzc8vPn67eb4AVuKswmeT55/Pcc3nppfz0p7nllnVw196q2Xz/XFyl6a7ro4/mF7/IjTdm//48+eSlK+0rr7fZtD7/PG++mSR33z3UvokmecEzmAa/b19eeGF5BW7pXNol19tsTtOdlk8/zdGjSYb/7RYX1+sFA1dD8Fxk27bccccmPTL/L83P5+9/z5e/nK9/PdlsOzOC5yLTE1Irr6ur88orSbJr1xD85vqLEDwXueTLKrpMP/mTT+aPf8w99+Tmm52WAzawTXV8Aqtgek3CJp0IzfBQxAwPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4FWOMFE4lzexAAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [42.71900413292543, 5.6552924627835255, 59.60088160958863])", "action": "('move', [42.71900413292543, 5.6552924627835255, 59.60088160958863])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "45779f894fd03b7c64268686802559fb226cc11971dba60b825158780d95e4f8"} +{"episode": 85664, "episode_seed": 2014739664, "split": "train", "timestamp": "2025-09-16T00:20:59.096916", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2014739664, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [14.924715118772381, -8.158101321969584, -56.29182627548687])", "action": "('move', [14.924715118772381, -8.158101321969584, -56.29182627548687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [14.924715118772381, -8.158101321969584, -56.29182627548687])", "action": "('move', [14.924715118772381, -8.158101321969584, -56.29182627548687])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALBUlEQVR4nO3da4gV5QPH8d+57DHUXBTbIrTaIIjAki5aGGb32GATUjOLIjZTM/dFaGqCuYV20Vwra80lN2oj6IIRGRXYxbLwhbmwxAGhm2Kh0AV1kd0950wvZjy7xV//lu6Zc/b3/bzzBsPKd55nnnlmJhEEgQB4SMZ9AABKh+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOBjkM8rn4/7IGCJ4EutUFAqpVRKvb0qFOI+Gpgh+JIKAiWT+ugj7dihqiolk8rl4j4mOEkEQRD3MbjI55VIaO9eXXWVCgXdf7/mzNHYsZIUBEok4j4+GGCEL5HwvJpMav16HTigAwe0cqVuuEFNTTp8OKo9CMTpFwOK4EskCJRK6c8/lc0qn49+uXu3VqzQ+PHasEHd3UoklEhEfwoMBKb0pRP+pHt71damtWu1e7ckpdPRZfzFF2v5ct14o0aMkKRcTul0fMeKQYrg43HokF54Qe3tymYlKZNRT48k3XyzHnxQdXXRiSCZVJJJGE4dgo9BoRBl/P33eu01tbbq11+VSCidVm+vJE2bpoYG3XKLJOXzSqXiPFoMJgQfjyBQb68yGUnq7FR7u557Tt3d0YmgUFB1tW66SYsX67LL+v4JK/k4SQQfp0IhWr2TlM3qqafU3q5CQYlEdME/apTq6/XYYzrvPOnoMj6TfPxnBB+//pP2nTu1fLm++EJdXUomo614Q4eqsVHz52vMGEnq7VUqRfb4Lwi+XPSfsW/ZouZmff658nlVVUUX9jU1WrRIt9+u2lpJ6u1VOs0kH/8OwZeX/pP2N95QW5u2bpWkIUPU3S1J48apoUH33KORI5nh418j+HIUbsJNJvXHH3r/fa1bp44OSX2j/cSJamjQ7NnR32c9DyeI4MtUECiXU1WVJO3fr3ff1cqV+uUX6ehenXRal16qZctUXx/9k3C1j/JxHARf1vov4//+u5qb1dqq/fslKZWKVvuuuUZNTZowQZmMgiB6/Bb4nwi+AvSfse/bpyef1Hvvad8+6Wj2ku66SwsWaOJEiWV8HBvBV5Ji+d9+q5YWvfWWDh6MttyH8/8HHtDdd+vKK6PfSaWY4eNvCL7C9L+237ZNr76qtjZJymSUy6lQ0FlnacYMPfSQLrgg+vs0jyKCr0jhND6VUi6n7du1Zo0++EDq9+zduedq1iwtWqSRI6WjD+pRPgi+UgWB8vloPt/drU8/1YoV2rkzWskLzwhjx2rhQt17r6qrJSb5IPhK13/vTRCorU3r12vXLqnfaH/hhVq2THV1GjUqzkNFOSD4QaI4aT9yRC+9pPb2f+7VmTJFc+eqrk6nn86FvS+CH1SKz+Hs2aM331RLi37+Wcmk0unoBRtLlmjlyqh2mjfEvdpBJZWKnrQ/5xwtXqxPPlFTk4YOVU9P9PKc0aOVSER78mCIEX5w6r9F74cf1NysjRs1YYK2blUm0/fKHbgh+MGsf9i7dunQIU2eTO3WCH7wY4kORZzqBz++coEiXn3ugkEeYoQHrBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8Kh/bhk8YwaOSFV/0w87hE0PwqFjhJ/gkbdigpibl89G7O3FsPDyDyhS+zevgQT3+uJ59VpIuuURTp0af3cMx8KNBBQrf5vPjj1qwQFu2SNL112vMGL6e/X/x00GlCa/bv/xSt90W1T5vnt5+W5dfLongj48RHpUjTD38Pm5Xlzo7lU5r9Wo1NiqZ7HtlL46NV1yhQhR7Ln58Y9MmDRumO+742+c4cFwEj0oQLsXt2aNvvtH06f9sm7f2nTBOiihv4edy02l1dOjOOzVzpp5/Pvr9Imo/YQSP8hYESqf1zjuaOlVff61MRkeOxH1MFYwpPcpVcaK+apVWrVJXl848U2vXatYs3q3/n7FKj7IU1n74sBob1dYmSePHa+NGXXEFtZ8Mgkf5CZP+7TdNn67PPpOk+nq1tqqmhs/inSTOlCgn4RJdoaBCQVVVqqnRaafp4Ye1ebNqaqJ7bwR/EriGR9nof3ctvOu+d6927NC0aX1PxeHkEDzKQziN7+7WI49oxgxNmtTXPxftpw7BI27FfXJ79mjePH34oWpr9dVXOvts5fPRczKM7acIi3aIVbH27ds1e7ayWaVSuvZajR4tib3xpxwzJcQqkVAyqddf1623KptVdbVWr9YrryiTifvIBidGeMQkvJbs6tIzz+iJJySptlbr16uuLrr3xjR+AHANj5iEO+SXLNHTT0vSpElqadG4ccrluGgfOEzpUVrFASZMuq5OZ5yhmTO1eXNUezpN7QOHER4lVLzB1tOjTCa68ZbN6vzzNWQIb7AoAYJHqYSjd0+P1qxRZ6deflnDh/ddq/NMe0mwaIeSCGs/cEBLl2rTJkm6+mrNn993xU7tJUHwGHiFgtJpffed5szR9u2SNGOGJk9mb3zpMaVHSXz8sebO1U8/SdLSpVq2TMOGxXxIlhjhMZCCQD09am3Vo4/q0CGNGKF163TffRI75OPBCI8BEya9bZuuu075vC66SC++qClT2FcTI4LHQArX3hcuVEeHWltVW8u9t3gRPAZYcQvt8OFM42NH8Bh44ThP7WWA/wCUBF+GKQ+s0mPgsT5XNjjpAkYIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICRvwDzThZ4cZqELAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [14.924715118772381, -8.158101321969584, -56.29182627548687])", "action": "('move', [14.924715118772381, -8.158101321969584, -56.29182627548687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3czYtd9R3H8e85995JF1IiLhortZtYaMEupIW6rBohLT5AsrHRRpqoYNNoUqTYWHc+pCK0NIZYqmJBC9qpukmEJm5ciII00o2PGEFSK5Q4LirOzD2nizsdC1Irmnnq5/X6Cw4X3vf3dM6v6fu+gAztSj8AsHw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z/+DrqvxeKUfYi0YrvQDwOfVddW2VVV9X02z0k+zuhnhWdv6vtq2TpyoF1+spqmuW+kHWt0Ez1rV91VVTVMvvFCXXFI7d9abb1bbav6TCJ41qesWZu+PPFKXbureeKOOH6/du2tmptp24b+AjxM8a894XG1bH/yzbrutv/rqmnm/nZqqqnrllXr33ep7wf9XgmeNGY9rMKh3/tZfu318xx3VNjUa1exsXXZZf/RonXdeVS3s4fFxfhjWkr6vwaCO/6WuvLJ/7I/taNT0VXNz3S231B8ebc49t8ZjG/WfpOnNflgLFo/cpqfr5pvr7bdraqpmZ+sLo/GBg+2OnU39e/DnExjhWQMm43bf15131rZtH9X+1a+MDz/d7NjZ9H11ndr/NyM8q93cXI1G9d579dO94wcfaqraSe0XXVT3318bNy7s2JvJfxpGeFa1Se0vv1xbt3QPPtQOh23b1uxs3XBDPfVUbdy4sGOv9k9J8KxeXVejUR053F9+eR17ph2Nmvn5Gg66e++tQ4fqjDMW9vD49ATPajR5W65t68Cvx1dd1b/2Wo1GNTdXXz67e/yxZu/eGo+9Of9Z+HiGVWey2f7hh/WzW8a/OVBdtaOpmpvtL/xO3f/b9vzza36+BgO1fxY27Vhd5udrOKy33qobb+wPH67hsOm66rruB1f1Bw4Ozlxv0f65mNKzWvR9jcc1HNazz9bmzXX4cDMcNvPzNRr2t+/rH3l0cOb6hbM3tX9mRnhWhb6vpqqa+v3D/c17mlOnFhbtZ2/o7/llv+2advGjdz4PPyErb3KQPu5q375+x45+sfYLLqg/PdFsu6adnzeqnx5GeFbS4hty7/69bvxxPz29uGivK66oQ4dqw4aFVT2nhRGeFTP5jnUwqJeOd5du6qanm8lJe9P0e28aT0/Xhg0Lq3pOF8GzMhZP2p98or/4u/1Lf22npmpurs46qw4erHt/NRgMvFdz+gmeFTA5Wuu62r+/tm7p//HeYDRVs7P9N77ePf54f/31zeTvwLr9tLOGZ7lN9ttPnao9e+rhh2swqGpqPN9vunh838HBeV9rLNqXjuBZPovXTr76al17bT33XA2HNT9fVXXD9d3ddzfrz1T70hI8y2TxIP3Y0frh9jp5cuHsbWqqv+eeZteuals3WCw5a3iWw2TRPh7XfffV977fnTxZky26c86pJ59sdu9euGpW7UtN8Cy5ybg9M1M3/aTbtaufnWsn105eeGEdOVKbN3801WepmdKztCYfsZ54s67bOX/0mcFgsHAd1fbt/f799aUvWbQvK8Gz5J59tnb8qHvt9WY0aubmqqq76652z55at85bdMtN8CytBx/o9+5tZt5fuHZy/RfHv3ug3bK1qf/YxmPZ+L05/SaT9g8+qFtvrZ3XfVT7N8/v/ny03bK1mbxUq/bl5ydnqczM1PPPV9/XunU1O9tv2VJHnm6+9e1mcue0LboVYUrPkphM119/vTZtqhMnat/P+1/c3qxbZxq/wgTPUpmcxh07Vu+8U9u2VVm0rwKCZwktFu6kfZUQPEtrsj9n0b5KCB6CWFFBEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8BRWEZMmk/6qgAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3czYtd9R3H8e85995JF1IiLhortZtYaMEupIW6rBohLT5AsrHRRpqoYNNoUqTYWHc+pCK0NIZYqmJBC9qpukmEJm5ciII00o2PGEFSK5Q4LirOzD2nizsdC1Irmnnq5/X6Cw4X3vf3dM6v6fu+gAztSj8AsHw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z/+DrqvxeKUfYi0YrvQDwOfVddW2VVV9X02z0k+zuhnhWdv6vtq2TpyoF1+spqmuW+kHWt0Ez1rV91VVTVMvvFCXXFI7d9abb1bbav6TCJ41qesWZu+PPFKXbureeKOOH6/du2tmptp24b+AjxM8a894XG1bH/yzbrutv/rqmnm/nZqqqnrllXr33ep7wf9XgmeNGY9rMKh3/tZfu318xx3VNjUa1exsXXZZf/RonXdeVS3s4fFxfhjWkr6vwaCO/6WuvLJ/7I/taNT0VXNz3S231B8ebc49t8ZjG/WfpOnNflgLFo/cpqfr5pvr7bdraqpmZ+sLo/GBg+2OnU39e/DnExjhWQMm43bf15131rZtH9X+1a+MDz/d7NjZ9H11ndr/NyM8q93cXI1G9d579dO94wcfaqraSe0XXVT3318bNy7s2JvJfxpGeFa1Se0vv1xbt3QPPtQOh23b1uxs3XBDPfVUbdy4sGOv9k9J8KxeXVejUR053F9+eR17ph2Nmvn5Gg66e++tQ4fqjDMW9vD49ATPajR5W65t68Cvx1dd1b/2Wo1GNTdXXz67e/yxZu/eGo+9Of9Z+HiGVWey2f7hh/WzW8a/OVBdtaOpmpvtL/xO3f/b9vzza36+BgO1fxY27Vhd5udrOKy33qobb+wPH67hsOm66rruB1f1Bw4Ozlxv0f65mNKzWvR9jcc1HNazz9bmzXX4cDMcNvPzNRr2t+/rH3l0cOb6hbM3tX9mRnhWhb6vpqqa+v3D/c17mlOnFhbtZ2/o7/llv+2advGjdz4PPyErb3KQPu5q375+x45+sfYLLqg/PdFsu6adnzeqnx5GeFbS4hty7/69bvxxPz29uGivK66oQ4dqw4aFVT2nhRGeFTP5jnUwqJeOd5du6qanm8lJe9P0e28aT0/Xhg0Lq3pOF8GzMhZP2p98or/4u/1Lf22npmpurs46qw4erHt/NRgMvFdz+gmeFTA5Wuu62r+/tm7p//HeYDRVs7P9N77ePf54f/31zeTvwLr9tLOGZ7lN9ttPnao9e+rhh2swqGpqPN9vunh838HBeV9rLNqXjuBZPovXTr76al17bT33XA2HNT9fVXXD9d3ddzfrz1T70hI8y2TxIP3Y0frh9jp5cuHsbWqqv+eeZteuals3WCw5a3iWw2TRPh7XfffV977fnTxZky26c86pJ59sdu9euGpW7UtN8Cy5ybg9M1M3/aTbtaufnWsn105eeGEdOVKbN3801WepmdKztCYfsZ54s67bOX/0mcFgsHAd1fbt/f799aUvWbQvK8Gz5J59tnb8qHvt9WY0aubmqqq76652z55at85bdMtN8CytBx/o9+5tZt5fuHZy/RfHv3ug3bK1qf/YxmPZ+L05/SaT9g8+qFtvrZ3XfVT7N8/v/ny03bK1mbxUq/bl5ydnqczM1PPPV9/XunU1O9tv2VJHnm6+9e1mcue0LboVYUrPkphM119/vTZtqhMnat/P+1/c3qxbZxq/wgTPUpmcxh07Vu+8U9u2VVm0rwKCZwktFu6kfZUQPEtrsj9n0b5KCB6CWFFBEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8BRWEZMmk/6qgAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3czYtd9R3H8e85995JF1IiLhortZtYaMEupIW6rBohLT5AsrHRRpqoYNNoUqTYWHc+pCK0NIZYqmJBC9qpukmEJm5ciII00o2PGEFSK5Q4LirOzD2nizsdC1Irmnnq5/X6Cw4X3vf3dM6v6fu+gAztSj8AsHw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z/+DrqvxeKUfYi0YrvQDwOfVddW2VVV9X02z0k+zuhnhWdv6vtq2TpyoF1+spqmuW+kHWt0Ez1rV91VVTVMvvFCXXFI7d9abb1bbav6TCJ41qesWZu+PPFKXbureeKOOH6/du2tmptp24b+AjxM8a894XG1bH/yzbrutv/rqmnm/nZqqqnrllXr33ep7wf9XgmeNGY9rMKh3/tZfu318xx3VNjUa1exsXXZZf/RonXdeVS3s4fFxfhjWkr6vwaCO/6WuvLJ/7I/taNT0VXNz3S231B8ebc49t8ZjG/WfpOnNflgLFo/cpqfr5pvr7bdraqpmZ+sLo/GBg+2OnU39e/DnExjhWQMm43bf15131rZtH9X+1a+MDz/d7NjZ9H11ndr/NyM8q93cXI1G9d579dO94wcfaqraSe0XXVT3318bNy7s2JvJfxpGeFa1Se0vv1xbt3QPPtQOh23b1uxs3XBDPfVUbdy4sGOv9k9J8KxeXVejUR053F9+eR17ph2Nmvn5Gg66e++tQ4fqjDMW9vD49ATPajR5W65t68Cvx1dd1b/2Wo1GNTdXXz67e/yxZu/eGo+9Of9Z+HiGVWey2f7hh/WzW8a/OVBdtaOpmpvtL/xO3f/b9vzza36+BgO1fxY27Vhd5udrOKy33qobb+wPH67hsOm66rruB1f1Bw4Ozlxv0f65mNKzWvR9jcc1HNazz9bmzXX4cDMcNvPzNRr2t+/rH3l0cOb6hbM3tX9mRnhWhb6vpqqa+v3D/c17mlOnFhbtZ2/o7/llv+2advGjdz4PPyErb3KQPu5q375+x45+sfYLLqg/PdFsu6adnzeqnx5GeFbS4hty7/69bvxxPz29uGivK66oQ4dqw4aFVT2nhRGeFTP5jnUwqJeOd5du6qanm8lJe9P0e28aT0/Xhg0Lq3pOF8GzMhZP2p98or/4u/1Lf22npmpurs46qw4erHt/NRgMvFdz+gmeFTA5Wuu62r+/tm7p//HeYDRVs7P9N77ePf54f/31zeTvwLr9tLOGZ7lN9ttPnao9e+rhh2swqGpqPN9vunh838HBeV9rLNqXjuBZPovXTr76al17bT33XA2HNT9fVXXD9d3ddzfrz1T70hI8y2TxIP3Y0frh9jp5cuHsbWqqv+eeZteuals3WCw5a3iWw2TRPh7XfffV977fnTxZky26c86pJ59sdu9euGpW7UtN8Cy5ybg9M1M3/aTbtaufnWsn105eeGEdOVKbN3801WepmdKztCYfsZ54s67bOX/0mcFgsHAd1fbt/f799aUvWbQvK8Gz5J59tnb8qHvt9WY0aubmqqq76652z55at85bdMtN8CytBx/o9+5tZt5fuHZy/RfHv3ug3bK1qf/YxmPZ+L05/SaT9g8+qFtvrZ3XfVT7N8/v/ny03bK1mbxUq/bl5ydnqczM1PPPV9/XunU1O9tv2VJHnm6+9e1mcue0LboVYUrPkphM119/vTZtqhMnat/P+1/c3qxbZxq/wgTPUpmcxh07Vu+8U9u2VVm0rwKCZwktFu6kfZUQPEtrsj9n0b5KCB6CWFFBEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8BRWEZMmk/6qgAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3czYtd9R3H8e85995JF1IiLhortZtYaMEupIW6rBohLT5AsrHRRpqoYNNoUqTYWHc+pCK0NIZYqmJBC9qpukmEJm5ciII00o2PGEFSK5Q4LirOzD2nizsdC1Irmnnq5/X6Cw4X3vf3dM6v6fu+gAztSj8AsHw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z/+DrqvxeKUfYi0YrvQDwOfVddW2VVV9X02z0k+zuhnhWdv6vtq2TpyoF1+spqmuW+kHWt0Ez1rV91VVTVMvvFCXXFI7d9abb1bbav6TCJ41qesWZu+PPFKXbureeKOOH6/du2tmptp24b+AjxM8a894XG1bH/yzbrutv/rqmnm/nZqqqnrllXr33ep7wf9XgmeNGY9rMKh3/tZfu318xx3VNjUa1exsXXZZf/RonXdeVS3s4fFxfhjWkr6vwaCO/6WuvLJ/7I/taNT0VXNz3S231B8ebc49t8ZjG/WfpOnNflgLFo/cpqfr5pvr7bdraqpmZ+sLo/GBg+2OnU39e/DnExjhWQMm43bf15131rZtH9X+1a+MDz/d7NjZ9H11ndr/NyM8q93cXI1G9d579dO94wcfaqraSe0XXVT3318bNy7s2JvJfxpGeFa1Se0vv1xbt3QPPtQOh23b1uxs3XBDPfVUbdy4sGOv9k9J8KxeXVejUR053F9+eR17ph2Nmvn5Gg66e++tQ4fqjDMW9vD49ATPajR5W65t68Cvx1dd1b/2Wo1GNTdXXz67e/yxZu/eGo+9Of9Z+HiGVWey2f7hh/WzW8a/OVBdtaOpmpvtL/xO3f/b9vzza36+BgO1fxY27Vhd5udrOKy33qobb+wPH67hsOm66rruB1f1Bw4Ozlxv0f65mNKzWvR9jcc1HNazz9bmzXX4cDMcNvPzNRr2t+/rH3l0cOb6hbM3tX9mRnhWhb6vpqqa+v3D/c17mlOnFhbtZ2/o7/llv+2advGjdz4PPyErb3KQPu5q375+x45+sfYLLqg/PdFsu6adnzeqnx5GeFbS4hty7/69bvxxPz29uGivK66oQ4dqw4aFVT2nhRGeFTP5jnUwqJeOd5du6qanm8lJe9P0e28aT0/Xhg0Lq3pOF8GzMhZP2p98or/4u/1Lf22npmpurs46qw4erHt/NRgMvFdz+gmeFTA5Wuu62r+/tm7p//HeYDRVs7P9N77ePf54f/31zeTvwLr9tLOGZ7lN9ttPnao9e+rhh2swqGpqPN9vunh838HBeV9rLNqXjuBZPovXTr76al17bT33XA2HNT9fVXXD9d3ddzfrz1T70hI8y2TxIP3Y0frh9jp5cuHsbWqqv+eeZteuals3WCw5a3iWw2TRPh7XfffV977fnTxZky26c86pJ59sdu9euGpW7UtN8Cy5ybg9M1M3/aTbtaufnWsn105eeGEdOVKbN3801WepmdKztCYfsZ54s67bOX/0mcFgsHAd1fbt/f799aUvWbQvK8Gz5J59tnb8qHvt9WY0aubmqqq76652z55at85bdMtN8CytBx/o9+5tZt5fuHZy/RfHv3ug3bK1qf/YxmPZ+L05/SaT9g8+qFtvrZ3XfVT7N8/v/ny03bK1mbxUq/bl5ydnqczM1PPPV9/XunU1O9tv2VJHnm6+9e1mcue0LboVYUrPkphM119/vTZtqhMnat/P+1/c3qxbZxq/wgTPUpmcxh07Vu+8U9u2VVm0rwKCZwktFu6kfZUQPEtrsj9n0b5KCB6CWFFBEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8BRWEZMmk/6qgAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "64f06c224113ff72f7ed610211ea5301c2412478714bcfbeb44b371618068d36"} +{"episode": 85665, "episode_seed": 4242728985, "split": "train", "timestamp": "2025-09-16T00:21:00.024919", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4242728985, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.494054513433995, -8.19396203953287, -20.21357423774282])", "action": "('move', [2.494054513433995, -8.19396203953287, -20.21357423774282])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.494054513433995, -8.19396203953287, -20.21357423774282])", "action": "('move', [2.494054513433995, -8.19396203953287, -20.21357423774282])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.494054513433995, -8.19396203953287, -20.21357423774282])", "action": "('move', [2.494054513433995, -8.19396203953287, -20.21357423774282])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "82ffc2cb6ec29e518d885fd48ed092075323ed04a61183cd92bd0527ead7c75a"} +{"episode": 85666, "episode_seed": 3137722461, "split": "train", "timestamp": "2025-09-16T00:21:00.623129", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3137722461, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2195532332095607, -1.4562243205154946, 54.67192999319184])", "action": "('move', [1.2195532332095607, -1.4562243205154946, 54.67192999319184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2195532332095607, -1.4562243205154946, 54.67192999319184])", "action": "('move', [1.2195532332095607, -1.4562243205154946, 54.67192999319184])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK60lEQVR4nO3dfWhV9QPH8c+5DwtKcI22VjIf0IZhWLpShLRaLBWhX5IVxf6R/ksIKklKGFgUGFJEYv0TWGEI2R+RwQy0n84wtRZGPk6Zt1aRCObztnvvOf1xTvmA+ps6fvfh837hH3K9u14ue5/v95x7zvcEURQJgIdUqd8AgP8fggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBo0qEYanfQSUgeFSJVErFoqKo1O+jvBE8KlsY6sgRvf66enqUTisIaP5KCB4VLIqUSmnFCnV06JFHtHKlTpxIHsclBRGfDSpTFCkItHOnZs5UFGlwUM3N6upSQ4PCUCnGskvhU0FFisepKNLixRoYULEoSR0damhQsUjtl8UHg4pUKCgI9N572rJFmYyKRc2fr2eeSSb5uBym9Kg8xaLSaR08qDlz1NurKNItt+irr3Tffck/4XLYGKLCxCPUwICWL9ehQ0qlFEV67jlqHxJGeFSY+IDchg1asED9/SoUNHmyuro0YoSCQEFQ6vdX3ggelST+bT1xQq2t6u5WKqUw1Ndfq60tOWiPK2NKjwoTBFq1St3dymYVhnr2WWq/CozwqBhx1fv3q6VFZ88qDNXYqO++05gxBD9UmVK/AWCo4stjFi/W6dPKZhUEWrYsqR1DxJQelaFQUDqtNWvU2alMRvm8Wlv11FPJBTMM70PElB4VIAwVBPr1V82Zo717lU6rtlaff64HHlChoAzz1CFjhEe5i6JkDH/3Xe3bp2xWxaLa2zVrlvJ5ar86jPAod/HpNJs3a948nTkjSePHa/t21dUxmb9qjPAoa/G58WfO6LXXdPq00mlFkd54Q3V1yTwfV4XgUe6CQJ98ok2blMmoUNBjj+nJJyVxkcy1YEqP8hXP2Pv6NGWKjh1TFOnmm9XVpYkTJTG8Xws2kihf8WC0ZImOHk3Ool2yRHfeya77tSN4lKl4HYsvvtC6dUqllM9r5kwtXMhpNteFKT3KURgqinTypB58ULt2KZNRTY3WrdPcuXzxfl0Y4VGOokjptN5+W7t2KZVSoaCnn9bcuQpDar8ujPAoO/EX793dmj1bx44pDHX77dq2TaNGJRsCXDNGeJSX+IDcmTN6800dPZo8snSpmpokUfv1YoRHeYmD//RTtbcrm9XgoB56SBs3sjrl8CB4lJcw1NGjmjZNuZyyWWWz2rpVU6bwVdzwYJuJMhIP48uWKZdLroF98UXdcw9fxQ0bRniUi3h1yq4uPfywokjFou66Sxs3qr6eO8kMGz5FlIV4xt7fryVLlM8nX78tXar6eu4kM5z4IFEW4jvJrFypbduS1Snnz9eCBcnjGC5M6VF68Yz955/16KPK5STp1lvV2anJk7m3xDBjhEeJxQvaDAzorbfU26t0WmGo55/X5MnJOnYYRozwKLF47/3LL7VggcJQhYJaWrR1q2qyUSqIuJvM8CJ4lFJc+4kTmjFDe/Yk18Bu3qxZsxRJF4f+7+8qm4BrxYUIKL0VK7Rnj7JZ5fNatOif2js3KHdYbW1qalI2K12q83gTQP9DxgiPkomH9127NGOGBgYUhho3Tv/9JmoaE0THjqfm/0ebNyuT0ahRmjZN996r6dM1dqxGjlRt7QUvVCgkr5VKsQtwZYzwKJliUcWiFi/W2bPKZpXJqKNDo8eoGCmdH1Rjo8aO1R9/KJdTLqfPPpOkG2/UE09o9erkJY4fl6SRI8+9aKGgMFQ6zeG+SyJ4lEa8jsXq1dqyRem08nnNm6fHH1exGAQpqaFeH3+sAwe0b5/27tXBg+rp0aFDOnJEp06d+/lVq/Ttt7r7bo0bp+ZmNTersfHi/4lp/3mY0qME4hWme3rU1qZfflEqpbo6rV+v6dMvv6DN77+rr089PZo4UVOnJiff3n+/duxInlBfr6YmNTXpjjs0c6bmzlU2e+lrbow3AQSPEoh/6U6e1Jo1euUVHT+ul1/W8uUX1h5FyUpXYZjcO/L8nw8CFYtav14bN+r77/Xjj+rvP/eEqVO1c2eyXMb+/frzT7W06Kab/sd7MtgEEDxK7MABffCBOjqSPfFLRxefnRP/SacvftLAgE6d0k8/accO7dyp7dvV2qqPPtLgoGpqtGiR3n9ftbWaNEnTp2vaNE2Zoro6jRihmpoLXiqfT475xQf/qhHBoxr99Zdqa5NTdtvbtX59cnjvX83Nmj1br76qxsZkO6ILb21RpWtlEjxKbNh2qOMXis47OS/++2+/afdu7d6t/fvV26tDh3T4sIpFTZqkTZvU0CBJ27bpww/V0qLRozV+vCZMqMraRfCoTpfbIT91Sr29yuW0d69uu03t7cmTX3pJ77wjSTfcoAkTNHq0Wlv1wgvJveyqaHpP8Kh2YZgc/JOSM/YuEkVau1Zr16q7W319yYNtbersrL5lsQkeTuLy40H7ojNz+vs1MKC+Pv3wg775RrNmaeHC6tuTJ3jASFVtvYDrcv7gV0X77ecjeOAfVRr5+VjxBjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI38DpFz6Y3aEaPsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2195532332095607, -1.4562243205154946, 54.67192999319184])", "action": "('move', [1.2195532332095607, -1.4562243205154946, 54.67192999319184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3d9318e88acd524dfed1b49480b3ffd17515eecbc3c4e6faa53c707fa7146a6e"} +{"episode": 85667, "episode_seed": 1432082751, "split": "train", "timestamp": "2025-09-16T00:21:01.223027", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1432082751, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.797092926733523, 1.7432839271146474, 41.72332733983385])", "action": "('move', [-4.797092926733523, 1.7432839271146474, 41.72332733983385])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.797092926733523, 1.7432839271146474, 41.72332733983385])", "action": "('move', [-4.797092926733523, 1.7432839271146474, 41.72332733983385])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.797092926733523, 1.7432839271146474, 41.72332733983385])", "action": "('move', [-4.797092926733523, 1.7432839271146474, 41.72332733983385])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cca6d82c84635c17080fa4cd1c7e8f5a5c90827a1f4464c461c1965d6c013098"} +{"episode": 85668, "episode_seed": 144073909, "split": "train", "timestamp": "2025-09-16T00:21:01.822607", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 144073909, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.21949913985667488, -4.746909987742126, 6.487238165777796])", "action": "('move', [0.21949913985667488, -4.746909987742126, 6.487238165777796])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.21949913985667488, -4.746909987742126, 6.487238165777796])", "action": "('move', [0.21949913985667488, -4.746909987742126, 6.487238165777796])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALaElEQVR4nO3dXYgV9R/H8c/MOdn61NqymhWaqWUlVHvTg1mgsFsSkYabRChU9IBlWhnRZV5INxVBUSIGu9gqpgQFm5VlhRGlUmaaWmyuZUoPtJFnc/Gcmf/FzLql61+t9DDzeb+u1r0a5Lz3Ow+/+Z0gjmMB8BBW+wAAnD4EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YMQu+CjSoUOKomofB1ANQRzH1T6G06dcVrFY7YMAqsdrwheL+uYbzZ2rjRslyelvHSBJRvOup0cPPKD169XZqe5uLV2qYlFxrCCo9pEBp4vRhA9D/fCDOjs1YIDa2tTRUe0DAk47l+DjWGecoccfV6GgONahQ1qyREHAeIcXl5t2yan7H3/o5pu1YYMk1dZq504NH07zMOIy4YNAUaShQ3X33YpjhaG6utIhzyM6+HAJXlIcK47V2KjLL1eloiBQa6t+/11BwO16uDAKvlBQpaLzz9ftt0tSEKijQ8uXKwhUqVT74IDTwih4KR3mzc0aN05RpCjSq6/q4EGFIUMeFryCLxRULuvii9XYmN6i37JFr7+uMFS5XO2DA049r+Cl9LHcww9r6FBJ6u7W6tUqldLfA/lmF3wYStKll6qpSXGsQkFvv61NmxSG3K5H/tkFn4hjPfZY+nOppBUrVC5zJY/8c1l406+mJq1bpyBQTY02b9aECekjeiCvrD/dCxakhXd3q7VVQUDtyDnTCZ+stD1wQFOnauNGBYHq6rR9u0aMqPaRAaeS6URLVtQOGaIHH5SkQkG//qqWFomX5JFrpsEfNnVq30rbl1/WwYMSzSO/fINPFtuMGqXm5vSfnZ1qaeF1GuSZb/BS+mLszJkaM0aViioVtbTozz+Z8Mgt6+CT12kuuURNTZIUBPryS735popFHTpU7YMDTgHr4NX7Os3992vYMEkqlfTaa+rpYaUt8sk9+GR1XUODpkxJn8m3t+vTTxWGvDOLHHIPXr1X8vPnq1hUEKi7W6tWpcvsGfLIGdOFN/2aPFmffCJJZ5+tDz/UxImKItbeIVf4OPd54glFUboIZ80atqxHDjHhpd6VtqWSJk3S1q0KAtXXa9s21deTPXKFCS/1rrQdNEjz56dX7z/9pBUrqn1YwH+NCZ9KLtf37NG0afr6awWBLrxQO3aoUGDCIz+Y8KnkOdzo0Zo1K705/9136TuzPJ9DbhD8kWbO1OjRimNFkZYtU09PtQ8I+O8QfJ9kpe1ll2natPRe3RdfqL093esWyAGC/5vk22nmzFFdnSR1d6utLb28514HcoDg/6ZYVKWia6/VddelQ37dOn38MSttkRMEf6QwVBBo3jwNGKAgUFeXVq1SpcKQRx4Q/JGStbSNjWpoSP+5Zo127CB45AHB9yO5kj+80nbfPr3xhqKIB/LIPBbeHNOBA7r66nQRzogR2rqVlbbIPCZ8/+JYgwenG9cXCtq/X6tXS6J2ZBsTvn/Jo7jvv9fUqerokKTx47V9uwqFah8Z8C8w4fuXbH01apRmz06v3nft0qpVktjTFhlG8P07vIR+xgyNHJnevXvxRTauR7YR/DEli3AmTtT06YpjVSrauVO7d/N8DhlG8P9Psq1lc7MuukiPPKIPPtDo0ZLY9wpZxU274yuXVSqptrbaxwH8awR/EtjTElnH5/eEJH8VqR1Zx0f4hLDeBvlA8IARggeMEDxghOABIwQPGCF4wIhf8Cw0gjGz4JM3XWkersyCD0OahzOb4JPCW1q0cKFKpfSrpAAzxWofwGmRbD25ebPuuktxrHPOSbekZUtKmPGY8EnV48eruVmSFi3S2rXp6T3gxOb12GSY//ijGhu1fbvGjNF772nsWIY8rHhMePVuUnfeeVqyRLW12r1bDz2knh7u3sGKTfCSCgVFkSZP1uLFOvNMvfWWFi1ihzpYsTmlT8SxymVFke67T62tkrRypWbNUqXCjvNwYBa8ei/mf/tNkydrxAgtXarx49m8Cib8gldv83v2qL5egwYx3uHDMnip7+Z88kNXl846S2LbOuSc6+c7WV2b/LHbtEl33KGWFm7gIfdcJ7x6F9sGgWbP1vLlqq/Xu+/qyit5Mo8cc53wUt8rNI8+qnHj9MsvuvdedXXxag1yzDh4SWGoSkUNDXrqKQ0cqE2btGCBxBfEIre8g5dUKKhS0Z13at48SWpt1XPPqVBQucycR/4YX8MflvwPVCq65RatXauRI9XWpilTeDiP/CF4Sb0P5zo71dSkXbt0/fVqb9eQIdzAQ84wwSRJQaAo0gUX6OmnddVVWrhQxSJX8sgfJvxfJE/mu7pUV9f3S07skSN8lP8iCBSGqqtLZ3u5rL17WY2DPCH4oyS7XO7dq3nzdMMN6uxM36UHso9T+qMkN+q2bFFDg+JYN92klSs1eLDCkHN7ZB2f4KMkK+2uuEIvvCBJ77yjZ59VsSjxJRbIPCb8MSRz/p579MorGjhQbW2aPp0beMg6gj+GpO39+3XrrfrsM517rtav14QJPJlHpjGvjiFZZj9ypJ5/XsOGad8+zZ2r/ft5tQaZRvDHliyzv+aadHX9++9rwwaJK3lkmMc3z/xjyZyfM0dffaXhw9XYKIlTemQX1/DHk1y0Hzyompp+fg9kCqf0x5NctNfUpN9FJ2nLFv38MxfzyCKCPwGH244itbaqoUFPPtm3JR6QHQR/woJA5bI+/1xxrGXL9NJLfB0lModr+BOWrLEvlTRjhtat09ChWrtWkyZxMY8MIfiTkazG6ejQjTfq2281caLa2zVqlMSte2QDp/QnIwxVLmvsWD3zjGpqtG2bPvqId+mQIUz4k5d8NdXixZowQbfdJjHekRkEDxjhlP6fiiJu0SNzmPCAESY8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gdx1TKIRnBuTAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.21949913985667488, -4.746909987742126, 6.487238165777796])", "action": "('move', [0.21949913985667488, -4.746909987742126, 6.487238165777796])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIu0lEQVR4nO3dX6hlZR3H4d+79jkz0+RFYFdeCUWJIQXFUGDeaIr/oiIdHZ0ix9FocgizkPBmsBoENQ01SIJMJ8d/EJqGEkp5UcyVgV5EWFApDqM1Yg2ec/Zeq4s1JUSmFXnY+/s8VwfOzTqwP/u33vWutU4bhqGADN16HwDw1hE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BAkKfhjW+whgvaUE3/fV2tGflU+slOC7rv7619q3r37/h2qt+n69DwjWQ0Tww1C/+U3t3FkXX1xfuaqOHKm+1zyJFj/42axaqy9/ue6+u5aX6/7767Zba2nJiT2JFj/4cem+a1cdc0w/m1XX1Te+OTzxeE0mhjxxFj/4rqthqDPOqD172lj44cO145LpH/8wjL+CHG3I+MiPf+Vntg937WvLy7W2Vmef1f/owW7Sqi3+lx4cFfRhb62uv6FOOnG2tjZMJvXwI921e4bW1Wy23kcGb5WUCV9VfV9dVwcODOeeWy+91FqrrvX33Vsf/0Q3m9Vkst7HB/9/QRO+62o2qy1b2p49bVy9r651X9hVTz9dk4k5T4Sg4Kuq62ptrXbsqO0X9bPZsLxczz3fXXVVHT5cXeeiPYsvK/jWajKp5eX69i3dlg8Na2u1cWM9+mjt3fvajbewwILW8P8wDNVaPfNMnXJK/elPR2f7vruGbRe1cZ0Piyox+Pp78/v31/btVVWzWR37jv7xn7WTTjLoWWS546zv64IL6oovDtNpP5nUi3/uLr20vfxy9b27cVhYocG3dvSZua9/o07/WE2nw8aNdeDA8NWv9OMFfM2zkEKDr6rWahhq8+Z2003du9/VVlZrabl99/b2nVtmXVfT6XofH/wfhK7h/2E6raWluu/eYdtFwzB0fV/vPHZ44IH20VPK3TgsntwJP1paqr6v885vX7t6GHfmD73YrrxqOHSoPFrD4kmf8KPxfRif+mT/0I+7paWaTodtF9Zd+9p4Md8WPQsjfcKPWqulpbr1tu697+mn01pebj+8u914oyHPojHhjxpX7I89VueeO6yutq6rTZvqwQfr1FMt5lkcJvxR4/Mzp59ee/e2rqvlpTpypHbtGp5/bvBuHBaG4F8z3mO7e3ddeGGtrNaGDfXrX9fnL+v/8pfBSy9ZDIJ/zbgzP5nU3r31vhP71dWaTNpDj0xuuL4mE3fjsAis4f/Z+PzML38xfOy0/sirk8mkNm2qe+6pM888egc+zC8T/p+N78n48Efajd/q+n7o+3rllbr0kunvfjuMpwAwvwT/L4xX6XZe1i6/vM1mtbxcz7+wtONz/draeh8Z/G8E/7qGoa69dtjywX5tbVhaqid+Prn66qE1t9kzx6zhX9e4/f6rp4Yzz+wPHuq61lqrO++srVvtzDOvTPjXNe7Mv/8D7brrJhuWW1VNp3XFFfXUU156ybwS/L/TdbW2Wtsuqh07ajqtyaQOHardu2t8tMbOPHPHKf0bGLfiVlfrtNPqySdr48ZaWandu+vmm8sL8Jg7gn9jY/PPPlsnn1wvvDCez/ffu70uubTTPPNF8G/K2PxDD9XWrbW2Vn1fb980++kT3ZYtzd04zBHj6c2azeqcc4Yrv9RPp31r9cqRyc6ddfBgDYPFPHPDhH+zxqpXXh3O+3T/8E/axo3dysrw2e3D93/QVbnrlvlgwr9Z41r9bZvbLbdNTjihW1mpDRvanfu6666r2cyQZz4I/j8wvs32+OPrhuuHzZtrOq2+r0cfrYMH7dIxHwT/nxlfennW2e2aa4a+r/PPrzvuqOOOq2FwuZ45YA3/3xj/O83+/bV169GvALUzFwT/v1I7c8RH9b80DDWdOpNnzpjwEMR4giCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyB/AwSnKqYr/RAQAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "47162b962e8538a20d903fac34cdef229c5e134cad55b8d4c2723dae72b93097"} +{"episode": 85669, "episode_seed": 3991739991, "split": "train", "timestamp": "2025-09-16T00:21:02.747766", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3991739991, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [56.752823043149505, 83.82512993987712, -7.3200836828385905])", "action": "('move', [56.752823043149505, 83.82512993987712, -7.3200836828385905])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [56.752823043149505, 83.82512993987712, -7.3200836828385905])", "action": "('move', [56.752823043149505, 83.82512993987712, -7.3200836828385905])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [56.752823043149505, 83.82512993987712, -7.3200836828385905])", "action": "('move', [56.752823043149505, 83.82512993987712, -7.3200836828385905])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3880c4a5c4d488558a79f0cf719d9bf7c75919e86f366beb32823bb7c64cc189"} +{"episode": 85670, "episode_seed": 1909701974, "split": "train", "timestamp": "2025-09-16T00:21:03.346971", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1909701974, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [59.758244728182426, 66.21404129942063, 9.914613242114322])", "action": "('move', [59.758244728182426, 66.21404129942063, 9.914613242114322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [59.758244728182426, 66.21404129942063, 9.914613242114322])", "action": "('move', [59.758244728182426, 66.21404129942063, 9.914613242114322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALBUlEQVR4nO3dW4gVdQDH8d/M7K5Rii1ElkUomWIPsqVYiXYBC2+U4UvmUkr7kBlKKkhGZRpREQZpZXSBlPCCVFrSUhYG5opQD5bmGqVQUCpq9WC155yZHmY8u6vhJXd3ztnf9/Mk5wKD+N3/Zf7jBkmSCICHMO8LANBzCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB7oKUmS9xUQPNAzSqVKCL4m7wsAers4lqQokqQkURDkeC2M8EB3imOFocJQzz2nefNULEp5zu0Z4YHuFIbas0cLF6q5WZJuvlnTp+c4yBM80D2SRH/8oTVr9NRT+v13BYEmTdKoUdlbOTUfJBWwkQD0HqWSgkBxrJoazZunV16RpEGDtGCBHn1UynkZT/BA1ymVss25dOm+c6fuvlvjxmnZMl1/ffZirgge6ArlcXvHDtXXa/jw7JWWFo0apdpaFYuqyX8FTfDAhSmnXijo2We1apUaGvTJJ9nEPh3wyyN/3rgtB1yAdMUuaccO3Xqrli7V4cM6cECtrdnr6XmbyqhdBA9ckCjSkSNaskTjx2vnTvXpo8ZGffllNqWPIkVRvidtTpH/ogKoVm1t2rZNy5Zp+3ZJGjFCixbp/vuzdyup8zLW8MB5KidTKGjECLW2Kgw1e7YWLNDgwSqVFIaVWbuY0gPnKkmy1INAQaAkUV2dnnhCDQ364AOtXKnBg1UoVNoc/hSM8MA5KN9CP3RIq1fr4YfVr1+2P3/8uOrrpQraij8D1vDA2RQKqq1Vkqi5WQsXau9eHTyolSuzu2719YpjBUHl1y6CB84kjpUkqq3VgQNavlyvvaY4Vt++6t9fksIwm+TnfX7u3DGlB85m7Vo9/7x275aksWO1eLEmTpTyf7j9f2CEB05T3pz78UctXaq1a1Uo6OKLtWCB5szRgAHZcr3aahcjPNBJOfU06a+/1ujRimPdcoteekljxkiqkFPx/w/BAyeVt9nb2lRXl83Yn3xSpZKWLMleSZIqWrGfjuABSSe34otFvfOOfvhBL74odT4tV4Ur9tNV68wE6DLpuF1bq2+/1Qsv6L33JGnYMDU1qVhUFGWjevXXLoKHu3TcDgK9+qqWL9dPP0nS5MlqaGjvvFekniJ4GEtr379f8+dryxZJuvRSPfOMZs1Sv35ShT4AcyEIHq7S07JvvaVFi3TsmCRNmKDlyzV8ePu7vQ7Bw9uJEzp2TFdfrfnz9dhjkqru8Nx5YZce9p5+WvfcoxtvzI7E97ppfEcED2/lm23VfJzm3BE87BWL1fKs24UjeMBI79yZAPCfCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8eid+Sep/Inj0HknS3nn6S99xCoJHbxDHKpUUBFnnhw/r4EGJcf40BI/qFscqFBSGiiIVCvr+ez3+uK66SosXK44Vx3lfX4UJEn4Gojqlo3ptrSQdP66WFm3YoNWrlSQKQw0cqPXrNWaMikXV1OR9rRWDvwlUnyRRHCuKFIb6+Wdt2qTNm/XZZ5JUU6MwVFubfvlFLS0aMybva60wBI+qkSTZEj0IFEXas0dvv63PP9fu3ZIURZJULErSbbdpxgyNH68kYXjvhCk9Kl269x522G7atk0rVqilRb/+KklhmK3Vo0hTp+qRR3TDDaqvz+dqKxzBo3IliUolRVE2sB89qq1b9fLL+uYbFQqSFATZPvzAgZo6VXPnasiQbKhPN+1DdqU7Y7qDSpQk2WZbOiH/7jt9+qlWrMhutqVJp39oaNC0aWpq0mWXtX+342fQESM8Kku6IReG2ejd3KwtW7RunY4elaTa2mxs79tXEyZoyhRNn666uuyLHLY5K4JHpUj/JabR/vWX1qzRRx/piy904oTUIfUBA9TYqMmTdccd2bc6TvtxZgSPnJ2yJ/fbb3rjDW3cqL17s6248p7c0KGaO1d33aXrrsu+mE77Sf3csYZHbkolSdng3Namffu0cqXefz+bvZd/BPTpo5EjNX++xo9Xv35Sh1E9PXWDc8cIjxyUSu13yI8c0a5dWrVKH3+cvRtF2c+Ca67R2LGaPVtjx7Z/N47bz8zjfBE8elTH1Pft09atWrdOX30lqf12mqRRo3TnnZo5U0OHSuIZuC5D8OghHffktm/Xxo1qblZrqyTV1alUylKfOFHTpmnSJF15pSQViwpDbqd3GYJHNzr9kNzmzXrzTe3apcOHJammJjsMW1enBx/Uffdp5Ej17y9JhUJ2Wh5diODRLcrPt6SOH9eGDXr9dbW26u+/O33yiivU1KSZMzVoUPZ5Uu8+BI9uVCpp/36tX69Vq3TokNThHtsll2j4cD3wgGbNUt++2efZkOtuBI+ulyQ6dky7dunDD/Xuu/rnH6nDyZnLL9e4cZoxQ/fe2+krdN4DuA+PrhcE2rRJDz0kSVGkujq1talQ0LXXato0TZmiceOkzit8au8ZBI8ulp6EHzJEF12kYlHFokol3XSTZs3S7bdr2DDp5FPrLNR7HlN6dLF0ct7WpsZGbdyoKVM0Z45Gj84eUC8Ws/++ArkgeHS9dJDfvVt//tl+SK58MB45Inh0u45HbpAv1vDoLuXOSb1yEDy6C51XIFZUgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyL8kBNgZtWg5fwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [59.758244728182426, 66.21404129942063, 9.914613242114322])", "action": "('move', [59.758244728182426, 66.21404129942063, 9.914613242114322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "28c48613f0ee66f525b4905844861f90cb9166f1dbe52a8169e534e0a33b4de9"} +{"episode": 85671, "episode_seed": 2816126158, "split": "train", "timestamp": "2025-09-16T00:21:03.944479", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2816126158, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9379688036964887, -8.455845642175474, -52.813741021990495])", "action": "('move', [-0.9379688036964887, -8.455845642175474, -52.813741021990495])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKfklEQVR4nO3d72uV9R/H8dd1frTQEtF+bTsbKqXodAWSITkIvNGtqDua/Qf2g4o0t/LHqAbZ3IxujAVB3agkcmBFNypCw4SEuTIWEsvC3JrTCSNhuR/nXNf3xrk6Z/74fr/6/Uo757yeD4aM47V53TjP8/lc73MdDKIoEgAPidk+AQD/HIIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEj3ISRbN9BmWO4FFOgoDm/y8EjzKQjzyb1cSEgqD4CK4XwaMM5HKS9OWXWrVKb72lKIqzD8PZPa/yQ/AodVGkVErnzmnvXp08qeef1/r16u2VpERC09Os9teB4FHq8sv4wYM6eFCS0mkdOqQHH9SuXRoaUjqtMGSpv1YEj1KXSCiK1NSktjbdfrump5VOK5fTa6/pscf08cdKJpVI0Pw1CSL2Qyh5hYv2Y8fU3q79+yUpndb0tFIpbdigV17RPffEe/v8kbgqgkd5iCLlckqldPGiDhxQS4sGBxUESiSUy6mmRlu36rnnlEhIUhjG3+AyBI9yksspmZSks2e1c6f27dP4uFIpZbOStG6dOju1Zo0kZbNKJlntL0fwKDMz9+1ffaXWVh09KinOPpFQS4uefFKZjMJQURS/QCCP4FGu8vv2ixe1d6+6unTmjNJpZbOKIt13n1pa9PjjkpTNKpWa7XMtGQSPMla4Vj92TJ2d+ugjSbrpJk1NSdITT2j7djU0SDPGfuYIHuUtipTNKp3WxIQ+/VQtLTp1SkGgIFAYKpPRs89q69binXnmwzyCRyUoDPPOn9err+qddzQxURzmrV2rzk6tXRsfmUj4rvYEjwoxc5h36JBefjke5hXert+yRc88o0xGUaQwNB3mETwqShQpipRIaGpKHR16+20NDiqVim+/bWjQjh3atElyHeYRPCpQ4Vq9r09792rfPunvpV7Spk166SU1NjremUfwqEyFYd7UlD75RNu36+TJeBufy6muTps3a9u2eJH3meETPCpZYZh37pxef13d3ZqcLC71Dzygjg6tWxcf6TDMI3hUuJn79m+/VXOzvvtOUnGGv2WLXnhBNTWSwYU9wcNCYdOey2nPHnV36/Tp4jBv2TK1tmrjRiWT8Ui/Upd6goeRwmr/ww/q7NSHH0pSVZUmJyVp40Zt26bVq+MjK7J5goeXwjAvl9OBA9q5Uz//rCBQMqlsVpmMNm9Wc3PFDvMIHo4Kw7zRUbW368034w/b56/q779f7e166CFJCsP4Rt3KQPAwVbhFR9LRo3rxRR05Iv39dn0yqaefVnNzPMyrGAQPa4Wr+jBUR4e6u3XqlJLJ+PbbJUvU1qZHH9WcObN9ojcIwQPF7H/6SW+8oQ8+kGbcmffUU+rqKl4FlDXvzwoCkhRfpU9Pa+VKvf++9u/XqlWano4fr6+Pj6kArPBAUeF+u5ERdXWprU3r1+vrr2f7tG4cggcuMfPDs4cPK5PRkiWzfU43DsEDV1F578DncQ0PXEWl/h+1BA/8W5W3yBM8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wkprtEwAkSVFU/D4IZu88KhzBozRcFnkYKooUBEqwCb2RgmjmKyswK77/XufPa/lyzZ2rOXN0881XOSaKFIYKgvgL/xOCRwnYsEE9PQoCLV+ulSu1YoUaGlRbqzvvVH29UpfuQ3M55XLx4s8W4DqxpUcJmDtXNTUaHtaJEzpxovj4ww/rvfdUXa0o0uioBga0YoUWLFAyWTwmm1UyyZp/jVjhUQLOnNHgoIaGNDSkgQENDOi33/Trr2pq0uefa948SXr3XbW0qKFBd9yhRYu0bFn8ddttl/yqK5/PvBbMwAqPElBdrepqrVkjSVGksTGNjWl4WPPm6ZZbJCkM1den0VF9803xpxYs0MKFWrhQPT2qrY0fvJa88+NAS6zwKAH5mXy+w5nb9ZmGh9XXp/5+/fijjh/XyIjGx5XLSdLYmObPl6QvvlBrqxYt0urVamzUihWaP19VVaqquvy3ZbOSiiNAm/4JHiUm/4TM//kfUhwZUX+/jh/X1JSam+NXivZ2NTdfctjdd6uxUffeq02btHSpwvAqQ77Cv2WA4FE+Cs/VK+PM5ZRM6vBh9fRoeFhDQ/rjDw0NFQ/47DM98ojCUBMT2rFDixervl61tcpkdNdd/9D5lwCCR3nKXwLkn71XXgWcPavTp/X77/EUcHxcu3erulqSjhxRU1N8WF2d6uq0dKl27dLixQ7X9gSPCpJ/iz6ZvPwl4MIF3XqrJAWBenu1e7f6+/XLL8UDBgeVyRA8UIYKi3/+K52+5G/DUJOT+usvXbiggQH19urPP7Vnj0PtInhUPqeZ3H/F+/CodFembvzJPIKHH7PIZ+KDB4ARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5F/N9sR5dkCv/wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9379688036964887, -8.455845642175474, -52.813741021990495])", "action": "('move', [-0.9379688036964887, -8.455845642175474, -52.813741021990495])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9379688036964887, -8.455845642175474, -52.813741021990495])", "action": "('move', [-0.9379688036964887, -8.455845642175474, -52.813741021990495])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKvUlEQVR4nO3db2hV9QPH8c/dvWtbzj9ppHNOFGSyWfpASISkR9YoJlG4srJJixYUYQ1a0R8fJWv2wMwnmc0HSg9qmS6NIAiJokAmymjEssK25p9Vm5a5P/fe83twzm/T6S81/em99/N+MUR27+Z17H2+55zv95wbC4JAADzkXe8XAODaIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPHwFgdJpBcH1fh3XUOJ6vwDg+ggCxWKKxcb+7oARHo7SacViSibV0qITJ1xqF8HDUDqtvDydOaOGBtXVqb5eg4MKAot9e4KHl7D2gQHV1WnTJhUWatcuPfVU9GjON88xPIykUorHdeKEHn1Un3+u/HwNDiqR0G23KRaLHs1tsSDnt2mApP/W/vPPWrlS7e3Kz9fIiIqKtHWrHn7Y5bwdIzwsJJNKJHTokGpq1NUV1T5jhrZtU1WVJIvaxTE8cl4QKJVSIqF9+1RdPVb7vHnauVNVVUqnr/dLvIYIHrksPGCNx7Vzp2pq1N2tREIjI1q0SLt3a+lSJZPKc4rA6f8KM6NLa7ZuVW2t+voUjyuZ1B13aO9eVVZG+/lWCB65KVxaEwRav1719frrL8XjSqVUXa09e1RaGu3nuyF45KBUKlpa8/zzevllpdNKJJRK6fHH9cEHmjxZ6XTuz8BdEMEj14TTbwMDevJJbdyoeFyJhJJJNTZqyxYVFkZrbzwxD4+cEh639/VpzRp9+qkSiegkfHOzGhqi/XyTGbgL8juIQe4Kh+7ubj34oL75Jpp+SySik3bULoJHbggvfcnLU2enamr03Xe64QYND2viRO3YoRUrqD3ieiiDHBIurcnL09df6557xmqfOVOffKIVK8659N0cwSO7jS6ka2vTAw/oyJGo9ooKtbXpzjuVSlH7GIJHFgv35BMJtbToscd0/LgSCQ0Pa+lSffyxFi+2uADushA8slW4o56Xpzfe0NNP6+TJaCHdvfeqtVXz5yuZpPbxOGmHrDQ6l/7CC3rzTQVBtJBuzRq9/baKi00X0l0UIzyyz+hCuiee0IYNisWi+faGBr37blQ7Y/sFsQ1Elglj/v131dfro4/Gwn79db30kiTfZbOXgpV2yCbhcXtPj2pr9cUX0dKaggK99Zbq65lsvzhGeGSNsPbvv9cjj+jAgaj24mK9955qaqL9fGr/ZwSPLBC+RUw8rm+/1erVOnxYBQUaGtL06dq+XcuXO17Z/u9w0g6ZLlxaE49r717df78OH1ZRkYaGVF6u3bu1fDkn5C8DwSOjjS6k275dq1bp6FEVFurMGS1Zol27tGQJJ+QvD8Ejo4X3rti4UXV1+vPP6E7yVVX68ENVVFD7ZSN4ZKjR+0+uW6fnnouWzY2MaNUqvf++ysqYfvs3OPRBJgpPyAeBnn1WmzcrHo/27Z95Rs3NKiqyvmvNleBnhowTju0DA6qt1ebNys+P3sX91Ve1aRO1XxEW3iCzhGN7uCp+x45o+q2gQE1NWrtWErVfEX5yyDjhlTB33aXJkzU0pJtu0pYtWrs2Gvmp/UpwDI/MEh66p9NavVp//KF33tH69brvPpbWXB3s0iMThXe2SKfV3a25c6n9qiF4ZDoO2q8iNpvIXKP3osXVwggPGGHjCRgheMAIwQNGCB4wQvCAEYIHjDAPj8xw9vQwd6L8vyF4ZIZxkYcXxIZvJYWrh4U3yAAHDui331RRoQkTdOONKiy8wHPCtfXhfefZBfi3CB4ZYOVKtbYqFlNFhW69VZWVWrBApaWaPl2zZ4+/biaVit4COrwNPbsAl4NdemSACRM0c6Z6e9XZqc7Osc/ffbe2bVNJiYJAfX3q6lJlpaZOPededuHN7hjzLw0jPDLA0aPq7lZPj3p61NWlri799JN+/FHLlmnPHk2aJEktLXrxRS1YoFtu0Zw5mj8/+rj55nO+1fm/z2wLzsIIjwxQUqKSEt1+uyQFgfr71d+v3l5NmqTiYklKp9Xerr4+7ds39lVTp2raNE2bptZWlZZGn7yUvMPTgZYY4ZEBwnPyYYf/69bTvb1qb1dHhw4d0sGDOnZMp08rlZKk/n5NmSJJn32mdes0Z44WL9bChaqs1JQpKihQQcH475ZMSho7BWjTP8Ejw4S/kOGf/5DisWPq6NDBgxoeVmNjtKVoblZj4zlPmzdPCxdq0SI99JDKyy98M43Rf8sAwSN7jP6unh9n+B40X36p1lb19qqnR7/+qp6esSe0tam6Wum0Bgf1yiuaO1ezZ6u0VLNmacaMa/T6MwDBIzuFhwCjb08zzvHj+uUXHTkSnQU8fVpNTSopkaSvvtKyZdHTyspUVqbycr32mubOdTi2J3jkkHCKPh4fvwk4dUoTJ0pSLKb9+9XUpI4O/fDD2BO6uzVrFsEDWWh08A8/8vPPeTSd1tCQ/v5bp06pq0v79+vkSW3Y4FC7CB65z+mc3EUxD49cd37qxlfmETz8mEV+Ni48AIwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wH9b82f8ZwYvgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHb0lEQVR4nO3bS28V5x3H8f/MMQQhpHIxFhS7JJTEtDHYURfZpZd93kHeVF5J1UXUbrOJIlVKOTEJOBBCjF1EiLkoFa0vZ6YLu8a2XDVSqxr8+3zkjefMmTMLf+d5npnjpu/7AjK0B30CwP+P4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4DlgfV99f9AnEWPsoE+AdE2z69ed8e95if+eEZ6DsRn2ykp9/HEtL7/Y3jQvfqqq62o0qq6rrjMR+B8wwnMwuq4Gg/r00/rgg1pdrfNnN2bfaa+9087N1sxMnTzZHz/eHD9e7e4haWOj+r7adtdFgR9P8ByMzeBv3Kgffqiqurs4dnexfv+HrRcnz3czc2Mzb9fVq/XGG3X2bI2P1/h4jY3tOsL6ejXNVv+t2eqPIHgOxub8fHGxRqNd248erap26UG79KD+9MetjRcu1Jtv1uXLdfnn/es/6y5eaqemmgsXNnfeMhpV3+9dEbBH01sYcRA245yfr+Gwlpfr5s366qta+HL0+FmzfWupbWtsrLquNjZ2vrU7d66dnKzJyZq6MJqebqZ/0V65UpOT+3zETi4BJXheEuvr9eRJPXncPfq+uXWrGX5e89e74ef19NmumXrbVtft3NA3VadON6dO1enTdelSPzvbzMzU3FxNTe3/QdtPATf7T7sKCJ6DtHkTvm1rMNi1ve/rH3+v1dX664MaDms4rL/8efTlzXr2t8HaWq2uVlVftU+sTVOvvVZHj9apn4xm3q65Xw3m5uratZqYqGPH6tixvfvvXAgk3AUQPC+FzT/D7bH33w28d+/WcFg35rvhZ9039wdPnjZPHtfTp3t3a5o98/n+7Hg/O9denalrszU93Y+f7k+eaU+f2nuhOfQEz8vrPy7C792rhYW6dasWFmppqZaWanm5vvuu2/kFkyNHqmlqfaP6F2uBbuJM/9YvB9Nv1ZUr9fpU99Op9uLFOnfu8PcveF4lmyvwvq+u22chcP9+LS72337T3Vts79xpbt+u2wvdw0d91dZ+TVNHjlRVra3tfN9o/Ez72981H35Y589vHfmwEjyvqp3x9/3WSL5tNKqVlfr+Uf/oUd35upmfry++qPn5evhw10EGg2oHtb5W771XH31UJ05sLekPK8/heVVtL/U3x/nt8ruumqbGxmpioiYmmqr69W+q7+v583r+vFZWtp4FDj8bXb9eK08HTVPrazU9XSdO1Pr61hTgsDLCczhtP37b/iruvu7fr/n5+uSTevfdev/9Go0O+TJe8KTwf3hlSk+OfSPfvhHgOTxw2ARc04B/ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+SfaanB4qQJEtgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "932595f4540885a7d5801db29649df3988f292e7fed97428cf60a1278ee8aded"} +{"episode": 85672, "episode_seed": 2273209383, "split": "train", "timestamp": "2025-09-16T00:21:04.873020", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2273209383, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [79.58714335135828, 6.664656470840888, 48.095467376004954])", "action": "('move', [79.58714335135828, 6.664656470840888, 48.095467376004954])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [79.58714335135828, 6.664656470840888, 48.095467376004954])", "action": "('move', [79.58714335135828, 6.664656470840888, 48.095467376004954])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [79.58714335135828, 6.664656470840888, 48.095467376004954])", "action": "('move', [79.58714335135828, 6.664656470840888, 48.095467376004954])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIpklEQVR4nO3d36tlZR3H8e+z9j5npLGiNE0JTCXJRJFQhExBIYTsTg0ysslKL7RpmkCQZIJEECUTR8WkUnPUyWbEsfx5VVBQF1ZeBUlXhjGUowmKntl7rS724GU3Z5+zd3xer79gwdnv86z1/FirDcNQQIZu0RcAbB7BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBMzd9X8Ow6IvgfxI889H31XXVmuaXmuCZg1nt//53vfmm5pea4FmvYaiuq1deqSuuqG99qw4frmHQ/JIaL/oC+P82DNVa/elPdfXV9dJLVVXHHjP88I4m+OVkhGcOXn+9Xnqpuq5Go7rjR3XzDwY39stJ8KzLLOyLL64HHxham1ZVa23X99vu3UNrNZnIfrkInjlorb66rd1+W1c1rKxUa3XDDW3PnhqPNb9cBM96zQb56bS+s7PdeGOtrQ0rK7W2Vtu3D08/XSsr1ueXSBv8KZiHYai+r76vHTvq3ntrPK7ptI4/vt+/r33m/Dab22PhBM/czH5K77xTX796eGxvG49rMhk+evzw/AvdWWcdWatnsQTPPM1G8rfeqi9e0T/zbLe6Wmtrdeqp9cILdcopNZ3WaLToS8zmXy7z1Fr1fW3dWg882D57fr+2Vqur9fe/1+WX1cGDNRrVdLroS8wmeOas66rv67jj2s8f7s48s9bWajyuP/+lLr+sP3hwGI2q7xd9icEEz/x1XU0mdfLJ9fjjdeqpNZnUeFy/+337xtXDf96oKpP2CyN4NsRslv6Tn6x9++qEj0wnk1pdbb9+prv+un4yccBmYQTPRpk9sZ99du3d1x29dbq2VisrtefR7rs7hyrNL4bg2UCzJ/YLL2x7f9Ft3dofnlTX1d33tF27jqzba36TCZ6NNRvJL7203f/jtvV9w+yAzc031513HrkF0Pxmsg7PhpsN5qNR7d5dO3dWVbVWXTfcd19t29b6vlqzD2+TGOHZcK0dmbe//vq66XvDZFJ9X9Np2769PflkdZ1BfvMY4dkks9fgDEPt3DncdVeb3c9v3VpPPVUXX2wT3iYRPJtntvF2GOprX6uHHqqVlTp8uI75cP/sc+3cc5vmN4Hg2VSz5t9+u668sg4cONL8SR+bPvt8d/qnNL/hBM9mm/3iDh2qyy/rf/PbNh63yaROP60/8Kv2idM0v7FM2rHZZgdsjjmmHn20nfPp6WQyrKzUX//WXXXV8I9XBgdsNpTgWYBZ1Sec2PbtH51+Wn/4cG3ZUn/4Y/fNa+rQoXLAZuMInsWYNX/Sx9svnxh97MTpu+/W6mo991y77rrh3Xes1W0UwbMwo1ENfZ1xRu17ojvuuH52kHbv3rb9275msVEEzyK1roahzjuv7dnTHXvsMJ3WeFz331+7dh05V6/5+RI8CzZ7ff3nPle7d7ejj66+ry1b6tZb67bbajQyzs+ZZTkWbxhqMqmVlbrnntqx48jG+6rh7t3DNdd2NtvPkeBZCu8dsLnllrrppiOTdl03ffih9qUvdxbn50XwLJ0bbqjbbx9mG3K2rEz3P9Eu/UI3e08W6yR4lslQ/VBdN1z7jf7+n3az5j/0wf7AU+2CC23CmwPBs1yGoYa+3l2rbV+ZPr6/jcfdZFInntAfONDOccBm3czSs1xaq2p11FH1k5+NPn/JMJkMK6v16j+7K79cL75YXWfj7boInqUzm7F7/wfqkcdGF5zfH14bqupf/2qHDpmrXy+39Cyp2bfoXn21LrmkXnutHnmkLrrIezLWS/Asr9nh+ZdfrjfeqHPPLZ+gXT/Bs9Tei1ztc+EZnqU2Ozw/nap9PozwEMQID0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+C1f+Lfy6f+GKAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f4302d0315a9c0724025787b5e54ebdab61d1becb033e3bde8a45fa89f60008c"} +{"episode": 85673, "episode_seed": 1699038148, "split": "train", "timestamp": "2025-09-16T00:21:05.468435", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1699038148, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1877811532699512, -0.7365248122319006, 6.9352411574667485])", "action": "('move', [1.1877811532699512, -0.7365248122319006, 6.9352411574667485])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKjElEQVR4nO3dX6jfdR3H8df5nd85a5XSHwmnBUUirQsno26KimKCf5JAMqxcshw2ddoogqCSQsiRWbANG3ZR/lnhSGoUlBRChYomyiDsD4xCF1gyNDQvzu/Pt4vvjwlhurOd4+/72/vxuD4X34vf83z+fD/f73euaZoANfSmfQHAq0fwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkJMq+OEw4/G0LwI6bK5pmmlfw8oYj9PrJUnTZG5u2lcDnXTyjPC9Xr7//Rw6lLk54zy8tJkPvm17NMr11+dzn8t11+X55zUPL222gx8O0+vlX//Kxz+e3buzsJBf/jJf/GLm5jI3l5NlsQIrpj/tCzhOTZPhMAsLOXgwW7fmkUeyuJilpaxZkzPOkDq8tFkNfjTKwkJ+8YtcfXUOH87CQpaWctpp+c53snnzJHhbd/A/Zm9K38bc7+fWW3PZZTl8OP1+BoOsX5+f/CSbN2c0mkzpgf8xY8GPx5MNuS9/Odu354UX0u9nOMymTTlwIB/6UAaDzM9P+yqhq2bpPvxwmH4/R47kmmuyf38WFjIaZTzOFVdk166ceurkD4D/Z2ZG+Dbmxx/PRz86qX0wSK+Xr3wlP/xhTj01o5Ha4RXMwAjfNBmPMz+f3/wmV16ZJ56Y1P7mN2fnzmzdOvkbi3Z4RV0f4dvzM/Pz+cEPcsklL9Z+9tn58Y+zdWtGo8SGPBybTgffHo9vmtxwQ666Ks8/P6n9Ax/IgQM57zxbdLA83Z3St7U/+2y2b8++fZmfz3icpsknPpHvfS9vepMtOli2LhZzdNF+6FA+85k88MDk3tv8fHbsyLe+lV7PFh0cj86N8Edrv//+bN6cv/1tMo1/wxvyzW/m6qsnf2PRDsehW8E3TZomvV5+9KNce22efXZS+zvekVtvzfnnv/jQO3AcOlRPe4qu18uNN2bLlvz735Mzs+99bw4cyPnnT56NA45bV0b4duh+4YVcc01uv32yOd80+djHsndvTj/dFh2sgOmPmO2ivdfLP/6RCy/M7bdPNuST7NiR/ftz+um26GBlTDn4o7X/4Q/5yEfy299OTsifckp27cp3v5vFxTSNm+2wMqYZ/NEN+f37c9FF+etfs7iYwSBvfWv27cv27ZNZvQ15WClTC77dOpifz0035Yor8vTT6feztJQNG/Kzn+XiizMcJs7Mwoqa5qZd02Tbttx22+R9FeNxLrwwe/fmbW+zRQerYprBLy3lNa958Q2z116bm2/O2rUZjSzaYVVMedNu7dqMx1m7Nrfckj171A6ra5ojfPva2be8JXv25NJLvXkSVt00R/jBIBs25J57cumlGQ69eRJW3ZRH+MOH8/a326KDV8n0j9ZatMOrZsqbdu3BG+DVMeXgT/6n35omg4FPW9IR05/SV+GQMB1w0o+w09P+Jz1yJN/+dg4eVDtdIPhV007jf/7zfOlL2bQpf/5zEt+1ZboEvzraN3U99VR2706SjRtz5pnTviYQ/OqZm8u+fXn00bz+9bnhhpxyyuQlXjA9gl8F7bz9ySdz881J8qlP5T3vUTtdIPhV0B4S3rkz//xnzjwz27ZlzRq79HSB4Fdau1f30EO5884k+fSnc+65volFRwh+pbXB79qV557LO9+ZHTuSqJ2O8MzKSmvbvvHGLC5m48asW+dpAbrDSbuV1j7oq3A6SfAr6ujOXNNMBnYbdXSJNfwKaZfuTz6Zyy7LT3+auTmP+NNBgl8h7Ui+b1/uvjtbtuTxxxMHaekco9BKaL+Y8fe/55ZbkuSTn8xZZ7nxTgcZ4VdC+9Xbm27KkSM544xcf30WFx2to4OM8Cesnbc/8kjuuCNJPvvZrF/vVT50k136E9NO5nu9XHBBfvWrnH127r8/b3zjZMyHjvGjPDGjUXq93HFHfv3rzM3l85/PaaclFd7dxUzyuzwBR7fl7rsvo1E2bsy2bSbzdJk1/Ak4Om/fuzfvfnfOPTe9nltxdJk1/Akbj03gmRV+qSdgNMrS0qT24dC7qOk+wR+Xdlp06FDOOSc7d+Y//0m/76473Sf4E7BzZ/7yl+zdmyeeSGKEp/sEv3zt5vyDD+auu7KwkK1bs3795P4cdJvf6PK1j75+7WsZDPKud+XKKyenaE3p6TzBL9NwmF4vd9+d3/0uCwvZvj3r1tmoZ1a4Lbcc7Uj+zDO54II8/HDe977cd1/6fSdtmBXGpeVog9+zJw8/nH4/3/hG1qwxtjNDnLQ7Zk2Tfj+DQZ57Lq99bS6+OJs2eeid2WJKvxxH1+r33JMNG3LWWdO+IFgewS/TeJymsWhnRll/HrOmyZ/+lF4v8/MO0jKjBH8M2knQ73+f978/W7bk6ae9kZYZ5Yd7DNqTNl/9ap55Jo89luHQM7DMKCP8K2nPzN55Zx58MIuL+cIXsm7d5PgNzBqbdi+rfWXdkSM577wcPJgPfzj33jv5noy7ccwgw9TLakfy3btz8GD6/Xz961lYSKJ2ZpQ1/Mtqb79dfnn++Me87nX54Acn76iF2WRKf8wGg8nwDjNL8MfA+VlOFmanx0DtnCwED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+C5trrzlgsPpJAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKjElEQVR4nO3dX6jfdR3H8df5nd85a5XSHwmnBUUirQsno26KimKCf5JAMqxcshw2ddoogqCSQsiRWbANG3ZR/lnhSGoUlBRChYomyiDsD4xCF1gyNDQvzu/Pt4vvjwlhurOd4+/72/vxuD4X34vf83z+fD/f73euaZoANfSmfQHAq0fwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkJMq+OEw4/G0LwI6bK5pmmlfw8oYj9PrJUnTZG5u2lcDnXTyjPC9Xr7//Rw6lLk54zy8tJkPvm17NMr11+dzn8t11+X55zUPL222gx8O0+vlX//Kxz+e3buzsJBf/jJf/GLm5jI3l5NlsQIrpj/tCzhOTZPhMAsLOXgwW7fmkUeyuJilpaxZkzPOkDq8tFkNfjTKwkJ+8YtcfXUOH87CQpaWctpp+c53snnzJHhbd/A/Zm9K38bc7+fWW3PZZTl8OP1+BoOsX5+f/CSbN2c0mkzpgf8xY8GPx5MNuS9/Odu354UX0u9nOMymTTlwIB/6UAaDzM9P+yqhq2bpPvxwmH4/R47kmmuyf38WFjIaZTzOFVdk166ceurkD4D/Z2ZG+Dbmxx/PRz86qX0wSK+Xr3wlP/xhTj01o5Ha4RXMwAjfNBmPMz+f3/wmV16ZJ56Y1P7mN2fnzmzdOvkbi3Z4RV0f4dvzM/Pz+cEPcsklL9Z+9tn58Y+zdWtGo8SGPBybTgffHo9vmtxwQ666Ks8/P6n9Ax/IgQM57zxbdLA83Z3St7U/+2y2b8++fZmfz3icpsknPpHvfS9vepMtOli2LhZzdNF+6FA+85k88MDk3tv8fHbsyLe+lV7PFh0cj86N8Edrv//+bN6cv/1tMo1/wxvyzW/m6qsnf2PRDsehW8E3TZomvV5+9KNce22efXZS+zvekVtvzfnnv/jQO3AcOlRPe4qu18uNN2bLlvz735Mzs+99bw4cyPnnT56NA45bV0b4duh+4YVcc01uv32yOd80+djHsndvTj/dFh2sgOmPmO2ivdfLP/6RCy/M7bdPNuST7NiR/ftz+um26GBlTDn4o7X/4Q/5yEfy299OTsifckp27cp3v5vFxTSNm+2wMqYZ/NEN+f37c9FF+etfs7iYwSBvfWv27cv27ZNZvQ15WClTC77dOpifz0035Yor8vTT6feztJQNG/Kzn+XiizMcJs7Mwoqa5qZd02Tbttx22+R9FeNxLrwwe/fmbW+zRQerYprBLy3lNa958Q2z116bm2/O2rUZjSzaYVVMedNu7dqMx1m7Nrfckj171A6ra5ojfPva2be8JXv25NJLvXkSVt00R/jBIBs25J57cumlGQ69eRJW3ZRH+MOH8/a326KDV8n0j9ZatMOrZsqbdu3BG+DVMeXgT/6n35omg4FPW9IR05/SV+GQMB1w0o+w09P+Jz1yJN/+dg4eVDtdIPhV007jf/7zfOlL2bQpf/5zEt+1ZboEvzraN3U99VR2706SjRtz5pnTviYQ/OqZm8u+fXn00bz+9bnhhpxyyuQlXjA9gl8F7bz9ySdz881J8qlP5T3vUTtdIPhV0B4S3rkz//xnzjwz27ZlzRq79HSB4Fdau1f30EO5884k+fSnc+65volFRwh+pbXB79qV557LO9+ZHTuSqJ2O8MzKSmvbvvHGLC5m48asW+dpAbrDSbuV1j7oq3A6SfAr6ujOXNNMBnYbdXSJNfwKaZfuTz6Zyy7LT3+auTmP+NNBgl8h7Ui+b1/uvjtbtuTxxxMHaekco9BKaL+Y8fe/55ZbkuSTn8xZZ7nxTgcZ4VdC+9Xbm27KkSM544xcf30WFx2to4OM8Cesnbc/8kjuuCNJPvvZrF/vVT50k136E9NO5nu9XHBBfvWrnH127r8/b3zjZMyHjvGjPDGjUXq93HFHfv3rzM3l85/PaaclFd7dxUzyuzwBR7fl7rsvo1E2bsy2bSbzdJk1/Ak4Om/fuzfvfnfOPTe9nltxdJk1/Akbj03gmRV+qSdgNMrS0qT24dC7qOk+wR+Xdlp06FDOOSc7d+Y//0m/76473Sf4E7BzZ/7yl+zdmyeeSGKEp/sEv3zt5vyDD+auu7KwkK1bs3795P4cdJvf6PK1j75+7WsZDPKud+XKKyenaE3p6TzBL9NwmF4vd9+d3/0uCwvZvj3r1tmoZ1a4Lbcc7Uj+zDO54II8/HDe977cd1/6fSdtmBXGpeVog9+zJw8/nH4/3/hG1qwxtjNDnLQ7Zk2Tfj+DQZ57Lq99bS6+OJs2eeid2WJKvxxH1+r33JMNG3LWWdO+IFgewS/TeJymsWhnRll/HrOmyZ/+lF4v8/MO0jKjBH8M2knQ73+f978/W7bk6ae9kZYZ5Yd7DNqTNl/9ap55Jo89luHQM7DMKCP8K2nPzN55Zx58MIuL+cIXsm7d5PgNzBqbdi+rfWXdkSM577wcPJgPfzj33jv5noy7ccwgw9TLakfy3btz8GD6/Xz961lYSKJ2ZpQ1/Mtqb79dfnn++Me87nX54Acn76iF2WRKf8wGg8nwDjNL8MfA+VlOFmanx0DtnCwED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+C5trrzlgsPpJAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1877811532699512, -0.7365248122319006, 6.9352411574667485])", "action": "('move', [1.1877811532699512, -0.7365248122319006, 6.9352411574667485])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALPklEQVR4nO3dXYgV5QPH8d+Zc87uZm9YRrgWBVpkkYkJQmEhGSVUkkpr6o2UYmJsSiKRhWbEglmxeqFsVGoubihhL5AkKllYkoUhpb0Q6k0vioVbuXte5n/xTJoQtvsXPDPn9/3cuXszLPP1mXnmmWdycRwLgIeo1gcA4PwheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w4h58HNf6CIDzyDr4OFYcq1qt9XEA54tv8KH2KFIUqVKp9dEA54Vp8HGsXE7d3Wpt1ccfK59nnIcF0+BzOVUqmjtX7e2aMUM7dyqKuJ9H/cvFZqd5GNslzZ6tjg41NenkSQ0frh07dOWVp38L1CWvET5M0VWrWrBAHR3K53XypC64QM89p0GDVK1SO+qcUfBxrHJZUaQlS/Tyy4oiSWpq0quvasoU5XLJT4A65nKOx7EqFRWLWrFCzz+vfF75vOJY7e2aNk3VKrXDgtFpXiioo0OLFyfX7aWSli/XrFnJsA84sDjTw1RcV5daW9XTI0mVipYs0YIFqlZVKNT6+IDzpf5n6SsV5fN67z1Nm6YTJ9TQoN5eLVqktrZaHxlw3tV58OWyCgXt3KmHHtKvvyYP4R57TO3tKhR4CAc79Rx8mIrbu1eTJ+vQITU2qqdH06drzRoNGJCsqwWs1G3wofYDB/TAA/ruOxUKKpd1331au1aXXca0PEzVZ/Ch50OHdM89Ongwqf3OO7V5sy6/nNrhqw5P/NDzL79o8mQdPKiGBpXLGj1anZ3UDnf1du5XKooi/f67pkzR3r3JnPxNN6mzU83NyW8BW3V1+ofR+/hxtbRo1y4VCurt1bXXqrNT112XPJ8DnNVP8GEu4s8/NXu2tm5N7tubm7Vpk0aMULlM7UC9BB+eqMexHn9cmzapWFS5rIEDtXGjbr01eRoPoB6CP7V+Zv58vf66CgWVSmpqUmenxo6lduC0zAd/aiPKp5/WypXJBnVNTdqwQffeq0qF2oHTsh18eOk1irR8uV54IXnptalJa9Zo0qR0rKWLY5VK7JiHlMjwwpswsOfzWr1ara3JfjXVql55RfPmJf9M0VJ5Fu4jBWo+Ap6TfF4bN2rhQlWryVC6dKnmzVOlkoLaw/+kx47pxRe1b1+tjwaQsht8GC/ff1+zZqm7W9WqKhUtWqSnnkqexte+r3AZ/+67WrhQ48frwAGJL92gxjIZfLmsXE47dmjqVHV3q1BQtaq5c9XWlqRe+9rD/MFPP2nlSkkaNUpDhtT6mIAMBh8m3vfsUUuLuruTpfIzZuill6RU3SnnctqwQV98oYsu0rPP6uKL2RYXNZex4MPy2P37kw0twuLZiRO1apWKxdQEFa7bjxzR8uWSNG2aRo9OzcHBWpaCD3PyBw7owQd16FCyeHbcOHV06JJLJKXgIVwQbira2vTzzxoyRHPmqLExTdce8JWSRP5bmIo7fFgtLfr+++RKfswYvfWWrrgiTS+9hrm6zz7T+vWSNH26Ro5UqcRSfqRBSir5D6Hno0fV0qKvvkpeer35Zm3alHwxJkU1heDb23XihIYO1RNPSErT8cFaBtad/vOl108/VbGo3l4NHarNm3XVVWka24PQ9rJlamjQqFEaPJj3cpEeaV9pF6a6fvtNM2dqy5bkvv2aa/TOOxoxIn216+9nhhSOVEpbLmcItZ88qfnztWWLikVVKmpuVldXWmuPYxUKyVesymWW2SBt0lbMaWFW+6+/9OSTWrtWjY0qlXTppVq3TmPGpO/7UOHW/cgRTZ2qt99WLsdrekihVEVzhhD80aPatk2SenrU2Kg33tBdd6XypdfwyG3DBnV1aeZMff21xEJapE56g48iVau6+mpt3qxbbtGAAXrtNU2cqDhO3w1yeCn/xx+1YoUkPfywhg3jwTtSKAOTdlGk/fv17beaNKnWR3N2s2ero0PNzdq2TcOHMzmPFEp78PrH8viUDpnhD/j55xo7Vj09WrxYy5alckYRyELwkqrVtH7XOVzMR5EmTNAHH+j66/XJJxo4ULkcwSOFsnFSRlEqa9ffH75Yt04ffqhcTq2tGjRISs+yfuAMnJfn4NQ9xvbtqlQ0apTmzEnZQl/gDOkcNzPi1HX76tW68UaNHKko4lEc0iwb9/CpxvwcsoMz9RxUKurtTWovl9mLGulH8P+XcFn0ww8aMUJtbfrjDxUKqXxmCJyB4M9BW5sOHtTq1Tp8WBIjPNKP4PsvTM7v3q0331SxqEcfTdbVcSeP1OMc7b/wgatnnlGppBtu0COPpO8zN8C/I/h+Cu/ldnXpo49ULGrePA0ezEQ9soLHcv0RRvLjxzVhgvbs0W23afv2ZMcLIAsYl/ojBL9qlfbsUaGgpUvV2MjYjgxhpV2fhe2rSiWdOKEBA3T//Ro/Pq1v8AH/jkv6/jh1rx425Rg2rNYHBPQPwfdT+DA1N+3IJu4/+yyO9c03iiLl8yykRUYRfB+Ei6Bdu3T77Zo5M/mKJZBBnLh9EFbaLF6s48f15ZdsOI/sYoT/L2HN7Pr12r1bDQ1asECDB6dvW3ygT5i0O6uwZd2xY7r7bu3bp3HjtHWr8nkW0iKjGKbOKozkK1dq3z4VClqyRMWiJGpHRnEPf1bh8duMGdq/XxdeqDvuSPaoBbKJS/o+K5WS4R3ILILvA9bPol5wddoH1I56QfCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8j+8bAi0oN0N7wAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1877811532699512, -0.7365248122319006, 6.9352411574667485])", "action": "('move', [1.1877811532699512, -0.7365248122319006, 6.9352411574667485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIyUlEQVR4nO3dXahlZR3H8f9ae5+QGUNjBJswSlSIEiUmR0dSfAEdu9HoRlALsi7T6k7HsUyDblJKJcmXG+/sIkLQzCAzMV9qFDUrX0YjfEtDEKXJs9d6uthzVzrjeKZztr/P5+qw983DZn/3f5211n5211orIEO/2gsA/n8ED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEv9+NY43jai8Cqkrw+1tr1ffV9zWbyZ7VN13tBXyQtVZdVw8+WMNQJ5642qsBE37/GYZqrV55pS44v23dWlddVU89VVXV2mqvjGCC3y/ms73v69Zb69lnu7fequ3b6/bbdz8Fq6Vr3oD7wThW39dzO9uJW9orr/V9Vx89dHz44X7jx1Z7ZWQz4feLvq+q+tGP6+V/9NNJDUO75BK1s/pM+JU3f0Uff7w+99lhqMk41rFHD/f9vj/wwG5+qA+rxYTfL7qutl06Lo+Tvq++a5dfMVE7a4HgV9gwVNfVHXe0O+7oJtOazdoXzmpnntnG0ek6Vp/gV9L8Npu3367vXVGtunGsgw7qLv5mt359N38KVpf34Eqazarr6qYb24MPVT+pNrZzzh5PP71bXlY7a4I77VbMMNTSUr34Yv3khq7rahzq0EPrW9/uu74m5b931gRzZyWNY91ySz3xRPV9tVYXnF/HHlvDYLyzVrgstzLmd9r89al26in16qvdMNRhh9WOHbVhQ5Xxzpph9KyA+fW2cazrr6uXXurmj2zbVoccUqV21hITfgXMg3/kkbZ5c+u6fnm5jjtuvOee/oADHMyztng/roxWte2SNpv1VTWdtu9+p1u3zmxnzRH8+zWO1XX1i5+3O+/qJ5NaXm7nnN1OOaVz5MQaJPj3ZV71m2/WlVfu7nvDhvrGRd269bs/CGBNEfz7MptV39fNNw6PPd5PpzUM7UtfbFu2dLNZTSarvTj4L4Lfd8NQ02k9/3z99KZ+vmXdxw+riy7ulpbMdtYowe+71qq1uvmm8ckna2mpxrF9+fz2maO72bLxzhrlstw+mt9p89hjddZZ9fLLVVWf/ET9YUd95ODyNVjWLBN+H3VdzWZ13XX14ovV9zWOddllTe2scSb8vphX/cADdeqpNZvVbFabN9fv7qulqdpZ00z4fbf90nHXrt1/X3VVfWhpVVcDe0Hw79l8vP/stvbr3/TTac1m7dxz6+STbWjDAnBI/960VuNY/9pVJxw3/OnPk+lSrVs3/uqXdfwJ/TA4Oc9aZ8K/N/Oqr792/MvTk76v2XL7ygXd5uPVzmIw4d+D+VYWz+1sZ5xRz+6svu82bmy/vaeOOLITPAvBhN9b8w/Grqsbbqidz3XTaTeO9fWvqZ1FYsLvrXnVO/7Ytm5tr/2zr66OOHx85JF+3frqOlfjWAwm/F5prSaTGoa69rru1df66bTa2LZf3h344Sp72rA4TPi9Mr8Ud++9ddppVVXDUFuOH+67f2JDGxaLN+xemW9Zt317DcPuR77/g8l8a1pYIILfs3nVt91W995bS0s1DHXeeXXySVUO5lk0Dun3YP7y/HtXHXPM8Myzk6o6+OC6++7atKmcnGfhmPB7MP9xyB9e3Z5+ZjKZVGt14YVt06bdX4+FxWLCv5v5nTZ/e76dfFJ74aV+HNsRh7c77+qOPLIbR+OdxWNI7UHX1TXX1N9f6KtqMu2+emF31FHutGFRmfDvaF71ww+1M7fWG290w9A+/anx/gcm69fXZOJ0HQvJhP/f5j/nvmtXXX1N9/rrXd9XVXfptv6gg6rv1c6iEvw7ml9737ixDjmklpfrpM+P553fzT8IYEE5pH838xvsHn20tm+vSy6tE7es9oLg/RH8Hjg/xweJ4PdsHHePegfzLDrB7xWbT/PBYGbtFbXzwSB4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIfLCQMUFOVpmYAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ba27666a6aa25b4bcb362d3e68854ccfde93b5ba82a3bef717ffc6a8f720c0c0"} +{"episode": 85674, "episode_seed": 3422739707, "split": "train", "timestamp": "2025-09-16T00:21:06.067078", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3422739707, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.70027686059707, -6.968967701999801, 0.8963261147386371])", "action": "('move', [8.70027686059707, -6.968967701999801, 0.8963261147386371])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.70027686059707, -6.968967701999801, 0.8963261147386371])", "action": "('move', [8.70027686059707, -6.968967701999801, 0.8963261147386371])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.70027686059707, -6.968967701999801, 0.8963261147386371])", "action": "('move', [8.70027686059707, -6.968967701999801, 0.8963261147386371])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "70c209c2a26f6791e9fa272a7c30d013c19432f66ee520bc56a20d8f6c200c07"} +{"episode": 85675, "episode_seed": 2333385923, "split": "train", "timestamp": "2025-09-16T00:21:06.666043", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2333385923, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1842894029254396, 2.260874345325352, 19.59776722493399])", "action": "('move', [-1.1842894029254396, 2.260874345325352, 19.59776722493399])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ0ElEQVR4nO3dO49VZRvH4f8+YJSIx4gmRmk0ITFa2BkrP4CNxk9go6WNB46zhxnQjsbSwt7SWJnYGGNMLDSRQqONiSgRD8Eo4J693mKtd8P7RpjNCLNncV9XNbOheAL88jzrXmsNg6ZpAtQwXPYCgO0jeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGC51o0TZpm2Ytg6wTPtRgMMhhkNlv2OtgiwXMtzp/PxYsZ+mfTV/7mWMD8GH/yZJ5/Pu+8s9TVsHWCZ2F//ZWPPsr77+fzz5e9FLZI8Cyg3eF//z0XLmQ8zv79y14QWyR4FnbuXM6ezXSavXuXvRS2SPAsoN3hz53Lr78myQMPXPqQXhE8C5gHf/Zsktx//3KXw5YJnoX98UcuXMhtt2X37mUvhS0SPAv7+ec0Te6+O7t2LXspbNF42QugD9onbXbvziOP5LHHcttty14QWzRojF64JrNZ94AtPWSHZ2HTaZom47Ha+8sOD4XY4dlM02QwyLlzeffd/PprXngh+/d3H9I3gmcxv/2Wkyfz7bd59NHs35/ZLKPRstfENXNbjs20F33nz+fMmSS5665LH9I3gmcxFy7k3Lns2pXbb0/iPN9Tgmczbdu//JIk997bBU8/CZ7FnD6dXBa8Hb6fBM9m2rbPnMlgYIfvO8GzmO+/T9Pknnvs8L0meBbQ/nTqW27Jffd5Va7XPGnHYr77LqdOZd++PP64p276S/BQiCM9FOLRWhZw4UJOncrtt+fBB7N7tyN9f9nhuar2iu/rr/Pkk3nqqXz2WRL/1VR/CZ4F/PRTxuPs3u0mfN8JngWcPp3pNHfckXvuSdyE7zHBs4D2udo9e7rg6S3Bs4AffkiSPXty110mdr0meK6qHdr9+GOS3HFHkkyngu8vwbOAH3/MaJR770386It+EzxX1W7mX32VjY3cffeyV8O/5cEbrqoN/u238913efrpJBn7N9NjnqVnM6Z0NxFHejaj9puI4NnMn3/mt988TntzEDxXtrGRJB98kGefzYsv5o8/ElP6fjOA4cratr/8Mh9/nG+/za23dv+TJL1lh+fK2uDPns1olIceyngs+L4TPJs5fTobG9m7d9nr4DoQPFfWbuY//5zxOA89dOkTekvwXEHTZDTqnpyfTrNnz7IXxHXgwRuuajbLN9/kzJns25eHH172avi3BA+FONKzmdksGxtuv98c7PBQiB0eChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPDeJpum+OH/+f77lcoLnZtA0XeGrq3nmmfz0UwYDzf8DwdN7TZONjQwGOXEiKyv59NM891y++SZJZrNlL26HETz91tY+HufEiRw8mMEgt9ySTz7Jhx9mMBD8/xsvewGwde1Jvq39yJEMhxkMcvFiVlfz0kvdL3E5fx702GDQneQPH+7ib5pMJjl0yDX8P3Okp5fmU7rjx3PwYGazrvDJJEeOdF8PBste5c4jePqnvW5vmqyv5+DBJBmP0zRZXc2RI91vUPs/cqSnZ+ZTuvX1HDqU4TDjcXfd3h7sE7Vf0aBxoUN/NE1ms4xGWV/vju6DQabTrvb2YK/2qxA8/bO+nqNHL03p1L44R3r6YX5WX1/P4cPd1/PaE7UvxNCOHmiv25McO5ZDh5J0N9jX1rra2+2dTTnSs9M1TabTbkp3+HAGg+zalb//zrFjOXjQlO7aCJ4dbT6TX1vrpnTDYabTrK1duv2u9sUJnh2tvaO+tpaVle7b2aw72Kt9CwTPDjV/eObYsa72JLNZt7c7yW+NoR070eW33I4cSdNkOExy6dG6qH1LBM+Oc/lM/ujRbkrXnuQPHOh+g9q3xn14dpb5lG51NUePZjjMaJSLF7O2lgMHXLf/W67h2VlmswyH3d7eHuM3NrK+rvbrQ/DsFPOD+upqJpPuk/aVuAMHTOmuD9fw7Ajz99snk+45+fbJ2bb2ltr/PcGzfPMp3cpKVlYyGHRPzp44YUp3nRnasWTzKd1kksnk0vvtx4/n9de7nX9oY7pOXMOzTPOe57W377cfP5433jClu/4Ez9LMD+qTSVZXu0+aRu03kKMSyzHfaCaTrKx0385rj/fbbwzX8CzBbNbdb19ZyepqN6WbzfLmm3nttcSU7oYRPNttPqVra2+ndH//nePH89pr7rffWK7h2Vbzn0K5spLJJKNRN6Vr9/aNjW5uxw0ieJZgZSXHjiX/ndKdOJHXX1f7dnCkZ/u01+3zmXySpun29vbmnNpvNFN6tsl0muEw6+vds3SjUYbDvPVWN6WL6/ZtIXi2Sdvzvn25887MZt0duFdf7U71at8eruHZPm3Y772XV17Jyy9743UJBM+22tjIaJQvvsgTT3T9q307CZ7t1o7uHOOXwjU822047F6GZfvZ4aEQOzwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/AeqFLqV+4I0dAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1842894029254396, 2.260874345325352, 19.59776722493399])", "action": "('move', [-1.1842894029254396, 2.260874345325352, 19.59776722493399])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1842894029254396, 2.260874345325352, 19.59776722493399])", "action": "('move', [-1.1842894029254396, 2.260874345325352, 19.59776722493399])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f1311ac61311071e8c171a5432b33084a20442fbb69d248ee8ce0482679e0a9f"} +{"episode": 85676, "episode_seed": 3282232099, "split": "train", "timestamp": "2025-09-16T00:21:07.595869", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3282232099, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7251975907380664, -0.8652787745307529, -59.24266602476657])", "action": "('move', [0.7251975907380664, -0.8652787745307529, -59.24266602476657])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7251975907380664, -0.8652787745307529, -59.24266602476657])", "action": "('move', [0.7251975907380664, -0.8652787745307529, -59.24266602476657])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7251975907380664, -0.8652787745307529, -59.24266602476657])", "action": "('move', [0.7251975907380664, -0.8652787745307529, -59.24266602476657])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKx0lEQVR4nO3db4hVZQLH8d855/pv8L+ZYPiHQXRJRF0b1rGkRsHSJQwiYqFeJfqiPysEStSLWijEQKJ605t2CezvDqVsILptDka5azplm6KUS1pLq6U5zrjp3HOefXHOaqwKM9fYmcff9/NqvFzhwD3f+5xznuecm4QQBMBDOtAbAOD/h+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8NEIYaC3APEj+MEuBOW5enuVJAO9KYhfEhg4InH2rIYNU5YN9HYgZozwg1f5VXz0qF58UStXasUKHTggSUUxsNuFiNUGegNwRXmuWk179+qxx9TdLUkdHZozR3mulC9qNIQdZ/Aqq54/X5MmKU2Vpvroo4HeJkSO4AevJFG9runTNWOGikJFocOH9f33GjKEo3o0iOAHr/KyfAhqba1G+0OHtG+fxGk8GkXwg1qaKkm0dKmampQkOnNGn3wiMSePRhH8oJamCkELF2r8eIWgJFFnp86f15AhNI9GEPxgF4JqNS1aVP29Z4+++qr6G+gvgh/syjP522+XpCzTF1/oyy8lgkdDCD4ObW3V+XyS6OOPJTEVj0aw1wx25Qg/ebLmzFG9rhDU0aHubiUJgzz6jeDjUKvpjjskKcu0a5e++26gNwhxIvgIlNfnlyyRpCzTuXPVbDzQXwQfgfLQfeZMjR+v3l5J2rGj+hYA+oXgI1CGff31uvXWqvMdO1hsh0YQfASSREWhpqZqNj7LdOSIDh2SmJxDPxF8HMqw585VraY8l6QdOy6+DvQRwcehPKqfOVOzZysEhfCzBs/Xhg2Cj0M56z5tmubPr1759FP19FSL7a9KeVWASwIeCD4O5b3xkubOrUb7U6e0c+dVp1rW3t39c3xzIAIEH41yLe2CBbruOknq6VFHh6TqlL4RRaEk0cmTuv9+bdjALJ8Dgo9GeVTf0qLm5uqVzk5JqtUaGpuLQmmq06e1erXeeUePP64PPqhex7WL4KORpurt1fDhuvHG6pUjR3TwoNK0/5GWtXd3a80atbcrSbR+vebNYzXPNY/gY1Ie1S9erKFDJenoUe3ZoxD6GXwISlOdPas1a/TGG0oSPfqonnlGI0dWt+Ph2kXwMSl/hWLpUo0dK0n1uvbuVZL081bZJNGPP2r1ar36qiStXauNG6u5PlzrCD4m5TX5qVM1fXr1ymef6dQpZVnfBvky6R9+0AMPaPNmSXrwQW3YoKLgYN4EwUemHInb2qp/7tvX5zW25TtC0NCh+vZbSVq9Ws8+qyzr/0ECYsXHHJnyuTfLlklSrabTp3XwYB/+WzmAlxf6m5r05pt64QU9/7xGjKB2K3zSkSmPuxcu1Lhx1WH87t2q15VlVx7ky9rPn9fx49UCmwkT9NBDGjasuoAHG3zYUWpq0m23VcHv3KkTJ6781vJrIM/1yCNavvzi71GW5wact5sh+FgtW6YkUa2mw4d17Jh02dP4C1WvW6eXXtK+fXr99YtPw6N2PwQfn7LWW265eGL+4YfSpc+xLd+Xplq/Xps2SdI99+jhh5XnzLfbIvhYTZ6s2bPV26sQtH37JSvqL3wZPPGENm6UpJUr9fLLmjix+iVaWOKDj9XYsVq6tLrEvmuXuroueUdR6Mkn9fTTknTnnXrtNY0cWd0wA1cEH59y+U2aatGi6ip7d7d275YunMaXw/tzz+mppyRpxQpt3qwRI6r/BmN8/FEqw541S+PGVffJb9/+39WxFxbYTJigMWO0ZIleeUWjRlE7JCWBFdQRKofwri7de6+2bZOkOXO0f/8lUb//vpqbNW0ataPEThCl8gE4o0dXT7xKEh07Gr74h9JU4e8HdO6cJOW52tqoHT/FfhC3efOqB2D0dIc/v1cPv3++uLlVmzapKJRlynNqx0+xK8SqvNa+YIFmzJBU9CZpx1O7k7W/Lbq6tGWLenokMQOH/8HeEKssU16ouVkzmgspKOjg16O7u1S76aaivV2jRrFyFpci+IjldSUKv2xNpUzS1+mEv/5qXdK+ubjhBubbcVkEH7EsDUqSxWffG5McV6qTxYQ9y3+nqTOLc5y34/LYLaJVr6e1RFv/dMuzd00KJ2o1BQ372/5hRb2oDUmZbMVlEXyc6nVJiVRvvXn4r+f/YviX9X9L0r++DV//M+VHJXAltYHeAPRfnqtWK/9IJ47TH/74m81Z+he1LEja2jRpksSdr7gCVtrFppxX37pVs2Zp1qzyUnzBoRr6hv0kKnmuNNXbb+u++3T33ersVJIor6ch1Ovq7b2Kn52CBw7p45HnyjJt2aJVq3TmjE6dUlOTJKVZUFLjk0QfMMJHohzbt23TqlU6eVJTpujddy8c0nPGjj7iHD4G5Zq5zz/XokXq6tKUKWpvV0vLQG8W4sMIH4kQNGqUWls1ZYreekstLcy8oQGM8JEoB/kTJ/TNN5o3j3vg0BiCj8eFm2HKq3dA/3FtNx7ls+xCoHY0jBEeMMJ5IGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIfUKuTF4e0OqoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIVElEQVR4nO3c66tldR3H8e9ae5+jyAQiIkiB4H+QEkEJBkJEIYTOxQuNIllepkBjRmYaJDV1DE0aHS9FqCESjpcsCsJ64BMlFQoqrMgHIgMiFITYMHP2Xr8erNNYKHkjx70/r9eD83jBOe/zXb/vWnt3rbUCMvRH+wKAD47gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgqdbe+MlyE3y61qrrqqq6robhaF8N/2eCjzbWfvBg3XprvfRS9b05v+QEn2sYqrU6dKi2b6/t22vjxnrxRXN+yQk+1DjJh6F27Kh9++rYY+v55+vyy+u116rrzPmlJfhE451819XOnW3v3jrmmDp0qDZsqM2ba3VV7cusa369YYah+r6qaufOtmdPrax2a4drZaXu2te+fGk3/jmMazyWjwmfZZztrdXub7Y9e1rfd2uHa3W17ti7Xvs4+VlWgg/S2nrw132r3XhT9X1fVcceW9+9rX31su7I8zmWmOBTjLX3fd1wQ7vu+lpZ6bquJpN2803tym3dfHa0r48PhDN8hCMn81tuqV272nTazWZVrd28p3bs6NbWajo13iMIPshtt9U111TX1XxerdWN3x527urn85pM1J5C8MtvXMvffnu7+urq/l329dfX7t1lJ5/GGX7JzWbV93XH99rVV7eu68YHctdeW7t3V5WdfBwTfpmNt+t37xuu2FbTad9azedt16668cZuPq++V3scwS+nIzv5H3x/2LathuqHeQ1D2/6NdvMtfWvO7aEEv5zGc/t9Pxwuv6Jm8761GoZ21dfbd27tu766bv1lO9IIfgmNd/I/un+4+JLW2mQ6rdmsvrZt2HtHX//xAXgCCX7ZzGY1ndZDD7UvXTgMNdberrxsuPPuSak9nuCXyjjbH364tm6ttbXq+5rN2lcuHe65d+I9eUrwS+PIlu7RR+uii+rgwfEFm3bJxe2ue/rp1E6eKs/hl8a4pXv8keHii4fX/1l9X/N5bd3a7bu7X1kx21lnwi+D8dz+0yeG8za3g4cnKyu1tlYXXlgPPFCTyRsfgAfBL7yx9l/8fNi8qb1+cLK6UofX2nnn1YMPdpOJLR3/xX/+xTaf13RaT/5yuOD89vrByXRah9faxnPm999XaufNpkf7Anjvxp38r58czr+g/eO18Qnc8MWz230PTFaP8YUWvAUTflGt1/6rYcuW9re/T1ZWajZrZ3+hPfDgZMMGtfPWnOEX0nhuf+qp2ry5vfpqt3pMHT7UPv+5+f5Hp8cdt/6/AN5M8ItnrP3pp+vcc+uVV8YvmW6fPWt45CeTj2ywk+d/EfyCGaf3s8/WOefUgQM1vid/1mfmjzw+Of54WzrehlmwSMban/tN27ixHThQKys1m9WZZ9aP96udd0TwC2M2q8mknnu2bdnSXn65G9+uOfPM2r+/TjyxhkHtvD239IthPLf/7rdt06b664vdeG7/9KfaY4/3J51kS8c7JfgFMN6r/+H3bePG+vNf1mv/5CeGx5+YnHyy2nkXBL8Y/vRCbTy3/fGF8U6+nfbx4YmfTT72Ued23h3Bf9iNn3s944x65plar/209thj/SmnHO0rYwFZ2n3YjZ9sveqqOuGEWlur009v+/f3p5xSw3C0r4wF5F36xbBpU/V97buz7rm3P/XU9R0evFtu6RfD+P7c4cO1uupdOt47wS8YWzreD5Niwaid90PwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEORfAuArwo79UZgAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "55f53308f8c409d4b71319b72d1d8e0300d152f6f44ff2cd8b0b3c0cba4a6535"} +{"episode": 85677, "episode_seed": 2252134342, "split": "train", "timestamp": "2025-09-16T00:21:08.195578", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2252134342, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8978763650394176, -0.47108022178203846, -11.236394717115095])", "action": "('move', [0.8978763650394176, -0.47108022178203846, -11.236394717115095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8978763650394176, -0.47108022178203846, -11.236394717115095])", "action": "('move', [0.8978763650394176, -0.47108022178203846, -11.236394717115095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8978763650394176, -0.47108022178203846, -11.236394717115095])", "action": "('move', [0.8978763650394176, -0.47108022178203846, -11.236394717115095])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZUlEQVR4nO3dW4xV5R2G8XettfdGOVgwTZFgahMjwULmQodSaPBAbLFQEiAYakjBKOlAYmFgAE2aCBg0ECbSlg4llkNgWkAUAxaUFggHm5K03pSCBlA6sXJMJEQIAfY69GLtTixKrSSyZ/b7/C44XS0mPPP/1re/tQiyLBMAD2G1LwDAzUPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXhUU5ZVfsx/ga8awaNqskxBoDhWEEhSmlb7ggwQPKojH+kXL2ryZG3erCBQGCpJqn1ZtY7gUR35PH/+ea1fr/HjNW+eLlxQFCmOq31lNS3IuHnCTRfHKhS0bZtGj1ahoCxTkujRR9XcrAEDlKYKmURfDb6uqIIwVJqqrk4NDYpjJYmKRe3YoVGjtGlTpfbPmUTtf8SUulFMeFRHvmOXpmptVWOjzp9XsahyWaWSpk/XCy+oVFKaKggqW3oVV67o9GnddRfLgBvDlwzVEQTKMoWhJk/Wvn0aPFjlsqJI5bKamzVihI4cURgqy5Smqvx09qwmTdLQoXrvvcoiAV8SwaNq8tGdZaqr086devrpym+LRe3dq+HDtWGDwlBhqLScKgx05IjeeksnT2r8eLW1sa1/AwgeVZYv7Hv00LJlWrNGffqoXFaxqJMnNXGiZs7UxYsKS1EaZxo2TKtXq0sXvfuuJk7UiROKIub8l8I9PDqEfM0eRTp4UI2N2rOncoeepnrgAS1bpro6ZUmiKApWrNC0aZI0cqRWrlTv3p+50cd1MeHRIeQHb+JYdXXaskWzZytNlaYqlbR/v0aM0Nq1CqIoUJpOnapFiyTpgw908WLlZp659f9hwqNjad9937BBTU06dUpduujKFUmaPl0LFmQ9ewbxpSvRmlXBkO/qvvsqn+nnm/74IgSPDid/liYMdfiwGhu1a5eiqHLqftgwvfSS6uuVSKH0X4kniaKoWtfcWbCkR4fTfq5+wABt3aq5c5VllUH+9tsaNUqrVilSGihLM+ncOU2ZopYWRRGb9l+ICY+Oq315/9pramrShx9WDudIamjQoheTnrdHyaw50dJmde2q1laNG8ec/98IHh1avh8XRTp6VDNmaMcOBUHlGZtB9VnLb4JBXz+s0T9ODx0Kb7tNmzfrkUcqiwF8HoJHR9f+iV0c67nntHSpLl9WqaSrV9W9W/aL1cETA/4Rjf5h/M8Thb59tWWL6utp/noIHp1D+zb8669rzhwdP65CIX+WNv1pYzj/wT/3mTmm3PZxoX//4I03dM891b3aDovg0Znk2R89qlmztH17fvA2i+Ns0IPh0of/9L1VE5J/nQ+HDA1W/lb33iuJz+quwS49OpMgUJKoXz9t2qT58/OzOkGpFP5tXzJ29Q+W1W2MvnZrcOAv2d8PKgiUcer2Wkx4dD7tO/E7dmjaNLW15cv7OOhWeLzn3mUzj9/e+LjCWzMG/GcQPDql9kflT5xQQ4O2b5ekUEkaRt+u08oVGjJYkhIp4hDepxA8Oqv8X27e8sKFWrJEn3yiUjG7WtYtpWTx8kJDqbXLuTPxjNkFPpz/D4JH59Y+v998U3Pn6vBhFYtZuZxJwUStfVE/++Yvfx5Pf5bmc2zaoXPLa49jjRyprVs1YYLK5SAIwkKk30dPjIn272zaVfhdS8aT85KY8KgZ+Vmby5fV0qJnnlGSqBTGV1XolX48t+uvn23tr3ET0jgJC9ZznuBRO9qX7Xv2aOpUHT2qQpDEUaQ4Hd/9j79a16vP2O+kicLId2FL8Kgp7Y/WnjmjGTP0yiuS0mIxLJd1T7GtZdUt3/9J7yxVEJru2/t+q0NNyh+tzTL17q2NG9XcrF69wnJZpWJ2rPytH03qsXBBkmaB7ZgjeNSg/B3YaaqmJr36qu6/X1fLQamYXVW3A38tZKkCmW7gsaRHLct38j76SPPmafVqDRyo3bv0jd7Krnlbjg2CR43Lmy+XtWKFBg7IHh4epKdOh9v+oCefrLzl2ul/sCF41L5PR51duhSMHKn9+zV7thYvruzs25y9NfreBlv5Np4kZQrSVL16Kcu0ZIkWLWp/qt4EEx5O8oO4Fy5o3Djt2qViUcuXa8oUn4U9wcNM3vbZsxozRgcOqHt3rVunsWOrfVk3CcHDT37f/v77GjtWhw7pjju0fr0eeqhyZKemETws5Xv377yjxx5TW5v69dPu3erbt+abr+W/G3BdhYLSVPX1evll3X23nnpKd94p1f4rcpjwMJbv4R075vOWW4KHt3wPz+b1GAQPezafyYngASsu39gAiOABKwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0b+DehcxYGrNyu9AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "514f3c86321347b9d9d39572d18e85dd4f62d70af7724ddca9e38786e08da91a"} +{"episode": 85678, "episode_seed": 298770342, "split": "train", "timestamp": "2025-09-16T00:21:08.797552", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 298770342, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.131548602096265, 21.2001081199207, -51.23835512395015])", "action": "('move', [11.131548602096265, 21.2001081199207, -51.23835512395015])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.131548602096265, 21.2001081199207, -51.23835512395015])", "action": "('move', [11.131548602096265, 21.2001081199207, -51.23835512395015])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.131548602096265, 21.2001081199207, -51.23835512395015])", "action": "('move', [11.131548602096265, 21.2001081199207, -51.23835512395015])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1a97484f0bb3da717844f684399e9f3c713d8230b053edab14c242bbf343a291"} +{"episode": 85679, "episode_seed": 833796275, "split": "train", "timestamp": "2025-09-16T00:21:09.726605", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 833796275, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.765978732453091, -0.9277227668435285, 49.48069241084951])", "action": "('move', [3.765978732453091, -0.9277227668435285, 49.48069241084951])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.765978732453091, -0.9277227668435285, 49.48069241084951])", "action": "('move', [3.765978732453091, -0.9277227668435285, 49.48069241084951])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKkklEQVR4nO3dz28UdQPH8c/sbgtrW9vEYgKptkUtQQNFsNLSSEJMiiFRkjYe4ITx4EmjiWcT/wD9B0w8eCNKAiboxWr4YaVqNAWaSlohtJQW5WALaWt3Z+Y5zLDlV56Hw4N15/N+pQcybDfbTt/7/e53Z2aDOI4FwENutR8AgH8OwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIweM+4ni1HwEeDoLHfQSBJEUR5WcNweNu5bJu3pSkXC4tH5lB8FiRDOlffaWuLr33ngYHNT+vOGacz44gZmfilnJZhYLefFOffipJDQ0aHFRXl8JQ+fxqPzj8PxRW+wHg3yKOlcvpxg0NDysIlMtp925t2aIoUo6JYFawJ5EKQ+VyOnVKU1OKY4Whurq0dq3CkFfy2UHwSEWRJH3zjebnJam5WX19khjeM4WdCUmKY9XWam5OP/+cbmlvV08P8/msYWdCksJQcayfftLZswoCBYH27JGkKGI+nykED0lp5MPDmpuTpNpaDQxIYnE+awgeiiLl8/rrL508qSBQHKutTTt2KI4Z3rOG4JEeVzMxoe++Swt/9VXG9mwieCiXUxxreFilUtp5Mp9H9hC8u2TevrSko0clqVTSxo3asmWVHxUeEoKHJM3M6PRp5fMKAvX3q1iUxAv4DCJ4d0nVg4NaWlI+rzjW3r3pJB/ZQ/CQpM8/VxCoVNKmTdq8WeIaGBlF8NDsrL7/XlI6vG/YIDGfzyiCt5acAP/ll1paUhAon1dvr4JA5TLBZxPBW0uW6I8eVRQpivTMM9q+XWJ4zy6C95WcAH/1qs6dS7d0dam9PT1PFpnEjvWVzNu//lrXrklSoaDeXuXznACfZQTv7ttvVSpJUkuL9uxRHKvAZZCyi+BNRZFqanT5skZG0i2bN6ujg/l8xrFvTYWhJA0NaXxckgoFvfKKxHJd1hG8qeQkmaEhLS8rCFRXp/37JS5olXXsXkfJhaump1eOt9m6Va2tXN8m+wjeUXLY7OioRkbSJbr+fi53YYHgHeXziiKdOJEeaVco6LXXqN0CwdtJhve5OR07JklhqJ071doqsWJngOBNTUxodFQ1NZI0MMAFrVwQvJ1kGD9+PL1eZS63ckVqZB7BOwpDffGF4ljlsnbtUlubxHzeA8F7qazPj42l0/h9+9TUxBK9C4L3kizLHzmS/mPtWr34onTrwDtkHsF7ST5h5vhxSYoi7dihzk6JA+xssJ+NJAfYnTunixfTLd3dam7mhBkj7Gcjybz92LH0A+Tq69XbK1Xj+nwUKQzTy/TEMRfcfHCc+uwieQeucoCdpKef1ksvKY6r5034pO1c7u4JSZJ9ZWPSP4uQ90PwLpJPjPzlF42NpVu2bVNzs0ql9PCbf7Xk1cjZs/rsM61fr44OrVunpqb0K/ncjIrkKpzJmUDJVy5H/wmCdxGGyud18qSmpyWpWNS+fVK1LNclywwnTujjj1c2PvGEnnxSLS1qa9OBA+rsTJ8XFhb0yCN330NyQa+qmcw8LARvITlDZnlZZ86kW5qb1dd3x0T4Xy15lM89pwMHdPWqLl3S5KSmpjQ1ld5g61Z1dioItLiogwdVLGrDBrW1pV/t7aqvv8/d3vviP+sTAYK3kMznx8f1ww/plu5uNTamI2IVSEbml1/Wrl26cUPz85qf1+ysJiZ04YL+/FM7d0pSEGh8PD0rKFEsqqlJjz2mujq99ZbeeCNdwAhD1dT8j7yTJYPKbTLxXEDwFpKR7NdfNTmpQkHlsl5/vTqPrisWVSzq8cdXtkSRSiXV1qY/T2OjPvhAo6O6cEHT01pc1MyMZmYkae/e9FsWF3XokM6c0QsvaONGbdqkjg499ZQaGrRmzcqKQPL6vyITLwoIPvuS+XwY6tSpdKG+sVF9fVVYu249dVWm4smK/Zo1KzdobdWHH6b/XlzU+Lh+/10TEzp/Xrt3p9+ysKCREV25oitX7rjz9es1MKCPPkoH/5kZXb+udevU0KC6umxczTeIeQ8z65J5+/i4nn1W5bIKBfX36/Dh1X5YD0/lT/rep7RkFrC4qMOH9dtvmpnR7KyuXdMff+j6dZVK2r9fR46kz5HvvqtPPtH27elyQEuLnn9ePT1VPchn4UkL/13yZ9/UpLff1tCQhofT61VW5ZT+Qdz+UyWvw+96A79Y1KFD6Q2Wl9PsZ2d16ZK2bUtvE8eanNTCgk6fXrm3gwfV05P+b3X+7hjhvVy9qvPn1d2tRx9d7Yeyuipv1N97EEIl5rExXbyoy5c1MaHJSf34o95/X++8U721i+B9VAY53OH2KUBy1OG9v6Mo0t9/6+ZN1dfffZBPtSF4I7fPbat2iPoHVY7YzdAvi+CBB5CV4/NZtAMeQPWnnuAlHWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkP9jzfEkl4NHgAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.765978732453091, -0.9277227668435285, 49.48069241084951])", "action": "('move', [3.765978732453091, -0.9277227668435285, 49.48069241084951])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHKElEQVR4nO3by24UZx7G4X+VDxwijDMD5hRsYuwWbFhlVtnOXEC2uZbscje5m6ww2Mg2VsAQRkCYDD50d82ijXEMyhwUjWm/z6OS1SqVv66W/Kv+6uCm67oCMrQnvQPA/4/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcjkSe8A/Be67v3rpjm5/RhbgmecHIu86w6W0fqmcRT4NwTPJ20U86+/1g8/1GBQ9+7V9evd+XN19lxz9my17fHCh8MaDA7KP1w41HRHJ0nwiRkF/+RJff11bWyM1g0W57ulO5NLS7W0VLdv19zl4ed/amZnm9nZOnPm+Aj9fg2HB+WPDhDJhwDB80kbDqtta2Wl7t2rqmrbGg5rf//YVv2bNyZuLjQLCzU/X1/cGF672l27MXHtWl29WufOHR+z36+q0CmA4Pmkjb7hf/yx/vq3evHz6G/1faBTU9U0NRjUYPCbX6rqrlxp5+Zqbq6uXKkbVwe3Fptbi+2t+fpy8SOHgI9GcCoPBIJnDOzs1NZW/eNNt/2sWV2thw9rba0e3u+vP24/vLXctNUNj60btk1z4WIzc6FmZmp2tha/HPZ6zdJys7xcvV5duPB77z58N9rhpcHxJXjGT9fV3l7t7nZv3zabm7WyUg8e1MOHdf9+bW/X7m7t7dX+fnVdd3Q68KHpqZqarunpuvR5/86dpnd3oteru3fr9u367LM6c6amp6s9XY+qCJ7xcPg1+/sF7u7W6uq7ZaX/6FH791ft69f15k398svB2ftRH5sOVFVdv169Xi0tVa9Xy8v1xY3u4kxduNjMzNT583/E5zkhgmdc/Ycn3oNBra/XxkZtbNT6em1t1fPn9fxZPfu5nm8P+4M6elLQtjU5WV1X/f6x8Qdzf66FxYmFhfr22/rmm/c3/8eL4DltDp/GGS2Tk8fL3N+v7af19Flt/zR48rR58rTd2KjHW/V4s9vcrOHwN1tPTlbbVte9vzXw/ff13XcHtw/GjgdvOG2O3WnruhoO3/9smpqaqpvzdXO+6i8To236/Xr5ql6/bF6+6l68qPX1Wl2tR49q7cFgdbX2+hNHx//qq4N3GUeC55Q77H/iXbbHpgCjafzlS3X5Uh1e5Ou62tmpnZ327T/r2fO6f79WV2tlpdbWann5ZD7IH8KUHg7Kr3fXBT58YvfUEDx83Kn8zzxTevi4UxP5UWN4nRH4XwkegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwL0jRLwlB/A5AAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "56e01d78b5f166f80bd6cb9494e8ed23e07f5f9dba45f5c173b99e5ecba2573c"} +{"episode": 85680, "episode_seed": 286121938, "split": "train", "timestamp": "2025-09-16T00:21:10.323534", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 286121938, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.7108707028092909, 0.21804658251732886, 53.459499177542114])", "action": "('move', [1.7108707028092909, 0.21804658251732886, 53.459499177542114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.7108707028092909, 0.21804658251732886, 53.459499177542114])", "action": "('move', [1.7108707028092909, 0.21804658251732886, 53.459499177542114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.7108707028092909, 0.21804658251732886, 53.459499177542114])", "action": "('move', [1.7108707028092909, 0.21804658251732886, 53.459499177542114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG3klEQVR4nO3cT24jxxnG4a/JSGPRATniODBgGz6EAV/EN/CVfDgfwKuE+jMaSxNpxiKZRfdQiVdThBGy+T7PiuCqNj99xepSd9vttoAMk0MvAPj/ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETzsY7ut7fbQi2j3t0MvAEap6w69gr0IHtpst/X0VM/P9ccfNZvVF18cekEtbOnhc/V7+Jub+umn+vHH+vbb+uWXQ6+pkQkPbdbr+vXX+u23qqrV6tCraWTCQ5vz8/rmm+E3/PX1yI7uBA9tzs7q9euX7f16fegFtRA8tDk7qzdvhs9X/9psNgddTSPBQ5v/Dv5mtd5sxrSnFzx8rv53+2RSy2VV1XRaq+vOlh5OVr+B74OfTOr399OPH8d0BUfw0KA/q9tt6au6m5uX74+f4KFBH/Z8/vLNuB7FCx4a9D/jv/yy6tP2/vr6kOtpJXhodnFRFxeb/rhO8HDiZrPtYjGc1V1dHXYtbQQPDfot/WzW7YI34eHEzWa1WAyfr6+25ZQeTtjFRb1+PXxe/XNMN28EDw0+belfJvzN1UiGe1UJHlptt/Xq1UvwV7fTgy6njeChQdcNj993wf/7w+T5ubpuHD/jBQ9t+sfv8/nQ9/q53r4dzTstBQ/7WMyraltVz8/Dk7lRTHjvtIM2/TCff3oO//xc/f/PjIIJD/uYz+vsrErwcNqGCT8f/oVmF/wotvSChzZ/Cn69rtvbKsHDCdsFv9lsr1ejeZGl4KFNP+EXi5rNhm9uV+sy4eGELRbDhK+qq9uRPIUXPLTqL9XNZrvgu3f3o7ldK3ho03XV36Xdbekfn7qqmkxGsKsXPDQbXmX5901/2e7pqR4eajqGMS942NPlYgj+8bHevq0aw7md4KFZf1B/+aar6qrq6anu7qoEDyds+dV0Mvmf4I+f4KFZP+GXyzo/r6p6fDTh4XT9KXhbejh9u+A/ftzc3YzjVZaCh2bDod1lvTofvrm7G8fLqr0AA/a0XNb5q/7j5O73w67lc5nw0Ky/XXt5OWzpq+r+YbL7/pgJHpp1Xa3XNZ3W+fnQ9/19VY3gsp3gYX+X8+Gs7v6+PnyoydH3dPQLhCP21XLb3669v6+Hh6qjP7cTPOyjP6j/x9eT/nbtLvgj55Qe9vfm62lf/sNDvX9fdfQTXvCwj+Gy3eVQ+GpV794ddkWfRfCwjz74H36on3+u5bK++66+/76qjv3crtse+RYE+Osc958j4C8leAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH2EIBb1JNnUcAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f59bf28d31877cd3087829902f4b66e08d6d721f3db3ff0b1efd6dbf9ad73c1b"} +{"episode": 85681, "episode_seed": 2004404635, "split": "train", "timestamp": "2025-09-16T00:21:10.926010", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2004404635, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-67.13865057434434, 35.49157278588371, -27.036111453012523])", "action": "('move', [-67.13865057434434, 35.49157278588371, -27.036111453012523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-67.13865057434434, 35.49157278588371, -27.036111453012523])", "action": "('move', [-67.13865057434434, 35.49157278588371, -27.036111453012523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-67.13865057434434, 35.49157278588371, -27.036111453012523])", "action": "('move', [-67.13865057434434, 35.49157278588371, -27.036111453012523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bc87fbf68a25e5878143caa8545a8724d2d3ba2a1af5291dec4c50810f3d38b1"} +{"episode": 85682, "episode_seed": 2975789392, "split": "train", "timestamp": "2025-09-16T00:21:11.523860", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2975789392, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.036301782034369, -6.904080385251081, 19.54188154943347])", "action": "('move', [-7.036301782034369, -6.904080385251081, 19.54188154943347])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.036301782034369, -6.904080385251081, 19.54188154943347])", "action": "('move', [-7.036301782034369, -6.904080385251081, 19.54188154943347])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.036301782034369, -6.904080385251081, 19.54188154943347])", "action": "('move', [-7.036301782034369, -6.904080385251081, 19.54188154943347])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAINklEQVR4nO3cT6jlZR3H8e/vd88dEDHLsk1YEtYiwWlRJmbMQhzUMqSSaZU6GUxJ/03GTMcxovxTGWkOiJozxWxc6FIxSogZ24iT6USbHA00BcEGopl7zu9pcY6nMQoni+6d83m9VvdczuLZvO/znO/5PbdrrRWQoV/tBQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIsWfGvV2movAtaq0Wov4H+s62Y/TLOfvwRq8Xb4Bx+shx6q1qrrqutqMlntBcFasiDBT/fzl16qLVvq/PPb5Ze13z3ZqmppqcbjGoZVXh6sEQsS/PTovnVrvfBCLS939+3sPnRm27q1Pf10G42q72tlZbWXCGvAggQ/1fdVVSsrtbxcfz3U33RT9/GL2rdvbC++WMvL5nlQXVuUCFqryaQeeaS+f+vwyC+qql+3rg4frqq2fn27/NL60lf66UHAPI9YixP83MG/tIcf7r517eT3f+irutGoxuPqqtavH67f1l988Sz1yaT6XvZkWajgW6thqKWlqqpDf6s772w//MHw7J+WqmqafVWde25t315nnlnLyzUM1drs/ZBgoYKfOvLE/vLL9b3vDvffX398pq9/ZN82b+4+v6V94INdVa2s1GhkqyfCAgY/NwyzMd6TT7YdO2rXru7gwdl+PpnUiW9qmzfXFVd07zt99htbPQtvkYOvqtZqPK7l5aqqPXtqx47atauqanl59kXdaae1TZfU16/u3vLm2fvLPI/FteDBT00m1XXV93XoUO3dWzdcNzz666rq5yf8097dvvjl7soru+kmPwyzB/VgwUQEX6+d562s1AMP1vbrJ0/tf80874zTJzd+Z2njxjruuKqq8bhGi3bVgHQpwU8deWIfj+tHt7W776n9+7s64pB/wQX1jatqw4bql2o8rr6fDQJgAWQFP9dadVXV1QvPt9vvqJ/vas8823VdNxpNs2+XX1abP1vnnNOVrZ4FEhr81Lzk3z7R7tvZ3X5HHT5co1ENQw1DnXxy+9Qn2le/1r/nvVU1u4EHx7To4KtqGGoymY3xH3+8br21du9u8+fzqtq73tk+vamuubY/8cQqY3yOcenBT82/hB+Pa+9jde3Wyd7f9ONxtzSqybiq6pR3TK75Zv+ZS7vjj5+9bWlJ9hx7BD8zvUs3n8/t3t1uvrk98URX1c3nee8/Y7huW3/eeXXCCbNjv8/2HFsE/8/mn9UPH647bm/37ax9+6qqe/XuXV10UW3ZUhdeWGWr51gj+H9tfsg/cKDt+ln95MfD83/u52P80ahd8sn2hSu7cz7SlXkexw7B/1ut1cpKrVtXVbX/6XbPvd1tt9V4XK9eqm9vP7k+9tF23bb+1FNXdaFw1AT/Oo68QvvUU7V9ez3wQFtZ6fp++q/y2tveOnzuiu6qq/uTTrLVs9YJ/qjML95V1aOP1g3bhr2PdYcOHTHGP6VuuaU2bdI8a5qnRo/KtPbp38YNG+qXv+rvvqs+fHZNxq2qlpfruefqlVdWdYlwFOzw/7H5F3gHD7adP2133d3v21dnnVV79tjbWesE/wbNH8s9cKDuvbc2bqyzz17tNcHrEfwbNww1TGq0PHvp0ztrn+D/W0fO82CNEzwEsTdBEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkL8Dn9nvoBuQ1D0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e220baacc963bef128a9925f05a4b926f52ba87c05fdc4ebc661c1ad3effbb7c"} +{"episode": 85683, "episode_seed": 957862906, "split": "train", "timestamp": "2025-09-16T00:21:12.452689", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 957862906, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.58857146063346, -86.44187628774841, -15.348701192647562])", "action": "('move', [-48.58857146063346, -86.44187628774841, -15.348701192647562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.58857146063346, -86.44187628774841, -15.348701192647562])", "action": "('move', [-48.58857146063346, -86.44187628774841, -15.348701192647562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.58857146063346, -86.44187628774841, -15.348701192647562])", "action": "('move', [-48.58857146063346, -86.44187628774841, -15.348701192647562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHEklEQVR4nO3d36ulVR3H8c96zhkSRRnEmxGU6GaGlG4cyMYEFSQzqTDR/hP/IUEqy0Jv0khFR50iTLAUrBlhsl+CpDg4cc5+VhfnDNK9Mwf25/W6fK6+F/u917OftdfeY84ZoMNy1AMA147goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoUh18HMe9QRwbVUHP8ZRTwDXVm/wly7l3Ln869+JpZ4aXcEfhH3xYp58MidP5syZPPuLOWf29496MrgmuoJf1yS5dClPPZUPP8y65sUX5hju7WnRFfzOTjabnDqVb31zTWaSd/60fPBBdncP3wtgu3UFn2TOzJn7H8ixYyPJhQvrb3+zJtlsjnoyuPrqgt/ZyRj5/g+Wm29Okr295Y1zy8F1j+7YenXBj5HNJrfdlm/ccbimv/Za/vqXLIvg2X51wefK9vtjT+wkWXby3nvr239cEx/j2X6NwS9LkjzySK77ypqZMZZXXl3297Ozc9STwVXWGPyBW2/NvfeOdc2cef65fPRRxrDIs+V6g58zT/x4JDl2LOcv5N13E1+2ZduVBj9nxsh9932xA/+rX85MwbPlSoM/cOJEHnoo65ox8uzP56VLRz0QXGWlwY+ROXP99fnew3POububi39ffv+HxEEatlpp8LmyCXf6dI4fn/ubjJGfPr1G8Gy13uAPNudOnhpnzixzzZz59QvZ3z9c/GEr9QY/Rvb2cuONufeeNVnHkn/8c3n55cQiz/bqDT5XNuHOfHvccsuYaz7/fD77zGo3ni1WHfzOTtY1d9017rzj4MJ443fjs898r56tVR38GNnfzw035O6758Hx+PPnx9mzc1mclmU7VQefK6div/vwcvz4SPLJJ3nppREf49lSgs+cueee3H774ZU338zHH/sNHLZTe/BJ5szOTh58MAc/bvfWW3n7bQdp2E6CP9yQf/zxLEuWJZ9+Os+dSxykYRsJ/jDs06fzta+um02S8eKL+eQ/8+AZPmwTwR9aljz66Eiyu5vXX99cOH/UA8FVIPjkyjP5Rx8byRwjly8vr7w6cuVuH7aGV/QXTp6cXz+17u1ljPHMz+Z/Lx/1QPBlE3xycFo2uemm8cMf7STZ3c3Zs/Pi32ZsyLNdBH9objJGHrh/jqzrmjmW558bamfLCP7QwbP6Uydz551js0lmfvL0xt/OsWUEf2gsWdecuHV856GRZIy88+fl/fcTd/VskTG9nP/f3l4uXz5c2K+7Lru7Rz0QfHkED0Xc0kMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wE2+ydY/s8TRgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "62d4df9adc463f7ef965ca5abfe51dbdaadf143eada67b35756179cf05a4de7c"} +{"episode": 85684, "episode_seed": 3534681201, "split": "train", "timestamp": "2025-09-16T00:21:13.052137", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3534681201, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.9190731954118747, 2.5860255188025265, -32.101909735732576])", "action": "('move', [-2.9190731954118747, 2.5860255188025265, -32.101909735732576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.9190731954118747, 2.5860255188025265, -32.101909735732576])", "action": "('move', [-2.9190731954118747, 2.5860255188025265, -32.101909735732576])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvklEQVR4nO3c34tU9R/H8ffM/sot0V0L3NSxBO3afkBJkRBEF0kQFEHQfRdd94cUUVddBELd1E110YX9vAi6EIIu8sYfu4oaribumu3O+V7M4KZtfWvdnFlfjweHYXac1SPM83M+8zlnptU0TQEZ2oPeAeD2ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEGR30DvAny8u1vFxVNTZWrdag94Y7SqtpmkHvA3CbmNIPk6WlqqpPPqlDh+qVV+r8+aoqIzLrR/DDZ+vW+uyz+vDD+vTTqqpud9A7xJ1D8MNkdLSWl+vgwTp4sMbH6/Dh/pt5WCeCHzK9Cfyzz9a1a3XpUs3P18iIgzzrxSr9kBkZqap6+eWamKinnqotW6qq2sZl1odVegji0DGUmqZ+/33QO8EdSPBDqdWq0dG6cKEOH64jR6qs1bM+BD+smqbefLNefbXefrsWFqrddkKeWyf4odQ01W7XM89UVX39dR07VuUgzzoQ/FDqHcwfe6x27Khffqnvv6+yVs868BoaSr3PzHQ69dxz1WrVxx/X4mK1Wmb13CLBD6VWq5aWamysnn66quqLL2p2dtD7xJ1A8MOqd5B//PF66KHqduvzz1cehLUS/LDqXVG7d2898UQ1Tb37bl27Nuh9YsMT/BDrfVr2wIGanq69e/s/wi1wae0Qa5pqterixZqdrU6nNm+uMqvnlggegpjSD72m6V9y0+3W1avOzHErBL8RtNv11Vf1xhv11lv9M3awJoIfer1D+nvv1Tvv1Ecf+UoMboXgh15vle7116vdrp9+qu++q1bLV1+xNoIfer3gH3209uyphYX69tsq19WzRl43G8SmTfXSS1VVR47U6dNm9ayN4DeC3tv4Q4dqdLR++KF+/HHlQfg3BL8R9Nret68efriapr75prpds3rWwItmI2i3q9utqal6/vlqmnr//Tp71qdlWQNfU71BNE2NjNSTT9aBA/Xii/2vr3aZLf+SS2s3lG63lpZqfHzQ+8FGJXgI4j08BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBkd9A5wB2qaappqtfo/Xr/DwLWaphn0PnCHW16ubrdarX75vTtGgYEQPOtvbq5++602b667767JydWfs7S0MgrcNBbw3xE86++FF+ro0ep0amamZmbq/vtr+/aamqpt22p6ur+Nja3yi725QNUNA4EhYB0JnvXUe+u+b18dO7bKn05P1733rmzbttXMTG3f3r/dvr22bl39r70+ClxnFFgbwbPOFhfrvvvqypWVR9rtarVqeXn1509M1ObNK9v0dO3atbLt3FmdTo3+g8Xl3kphj/XCvyJ41tniYn3wQf38c506VSdO1PHjdflyLS/3t3/4cmu1any8xsdrbKwmJmpqqh58sDqd2r17ZduypUZHa2Tk74aDP54soATPbXDhQp04USdO9IeAkyfr5Mm6dKkWFmpxsb/91fH/b2zZUrt3V6dTDzxQnU51OrVrV01N1eRkTU7Wpk01OVltF5rcSPAMzOxsnT5dc3M1N1ezs3XmTF24UBcv1vx8zc/XxYu1sLDKb7Va/UP69RW+m8zM1I4dtXNnzczU/v312ms1MfHf/kc2EMFzO1x/g339zsjI6pPty5fr/Pk6d+6G27Nn6+zZ/p1z51b5rXa7Rkf7KwVLSyuPP/JIffll3XOPuX2fK+24Hf58dq1pqtvt9//HUaC3dLdnzw1PXlqqX3+tS5f6t/PzdeZMzc6ubKdO3Twd6P1z+/fXXXet/IjgGYxVT7D3RoGqGwaC3rJc7+z9TX7/va5ercXFunq1rlypubk6fry/XjA3V0eP1u7d/2iFP4cpPRvAH98R9LRa/2dBrmlqaana7RoZ+c93bwMRPBvYn1+8pu5/z3SHDUze/5bTlBBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkf0AU3VjlSOjlAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKT0lEQVR4nO3df6jddeHH8dc5596JQW1moBT6R6VRhIRklPRDCCrIaayUwgxXzZq2yv4o/6mof0ZIP0CTpsEKYpRJtcCN8sfQilCiqKjAEoqkrIk/9sfK3Xvu+f5xDpPq++3btks7974ej7+2cQYfuPd53j/O+/M5g8lkEqDD8GRfAPDfI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngosnCyL4B/MR5nPE6SxcUMBif7alhXBpPJ5GRfA/BfYko/T5aXk+Q738nmzXn723PwYJJ4R2b1CH7+bNqUffvyjW/kjjuSZGXlZF8Q64fg58nCQsbjXHRRLrooGzZkz57ZYh5WieDnzHQC/4Y35MiRPPlkHn88o5FBntVil37OjEZJcvnlOeWUvOY12bgxSYbel1kddumhiKFjLk0mWVo62RfBOiT4uTQYZGEhjz2WPXty4EBir57VIfh5NZnkYx/LFVfkppty+HCGQx/Ic+IEP5cmkwyHef3rk+S++/Lb3yYGeVaB4OfSdDC/4II873l59NHcf39ir55V4HdoLk3vmTn77LzpTRkM8u1v529/y2BgVs8JEvxcGgyyvJzFxbzudUly5515+OGTfU2sB4KfV9NB/pWvzItelJWV7N//9D/C8RL8vJqeqD3nnLzqVZlM8qUv5ciRk31NrHmCn2PTu2UvvDDPfnbOOWf2VzgBjtbOsckkg0GeeCIPP5yzz84zn5mY1XNCBA9FTOnn3mQyO3KzspK//90nc5wIwa8Fw2HuvTc7duTGG2ef2MFxEfzcmw7pu3bl5ptz220eicGJEPzcm+7Sbd+e4TC//nV+9KMMBh59xfER/NybBv/yl+f5z8/hw/nhDxPn6jlOfm/WiFNPzWWXJcmBA/nTn8zqOT6CXwumy/jNm7OwkJ/8JL/85dP/CMdC8GvBtO1zz83552cyyQ9+kJUVs3qOg1+atWA4zMpKTjstF1+cySS7d+cvf3G3LMfBY6rXiMkko1Fe/epceGG2bJk9vvo/O2Y7PaH7r3+mkKO1a8rKSpaXs2HDsf6/Bx/M3Xfn6qszGmU8nj38nkKm9GvKcHhMtU/fzA8dypVX5pprsn17Hnsso5Gjer0Ev25NJplMMh7nve/NAw9kYSG33prLL8+DD86+w45Cgl+3pmv1wSAXXJCFhdlS4O67c+mlufPOjEa2/BpZw69nR7fo9u7Ntm05eDAbNuTIkWzalE9/Ojt2/MNraCD49W+a9C9+ka1b89OfZnExS0sZDHLNNfnsZ3PKKVlezoKPazqY0q9/03ttzjsv3/9+3vGOLC1lNMpwmC9+MVu25Pe/z8JClpbM8CsIvsL06P3pp2fPnnzqUxkOMx5ncTH79uXii3PgQBYXbeNVMKUvMv1RDwb5+tfzwQ/m4MHZ9P7007NzZ7Ztm73Gkn4dE3yX6Qd1Cwt54IG8//352c9mzS8s5MMfzmc+MzvF65z+eiX4Okebf+SR7NiR22/PaDR7cNall+bmm/Pc52Y8znBoqF+HvJPXmX73/HicM8/Mbbfl+uszHM6+2Grv3rzxjfnxj2drfmPB+mOE73V0ub57d66/Pn/962x6v2lTbropV1yRxPR+vfHD7DWtfTzO1q25/fa87GVZWsriYp54IldemU98IsvLsyU964YRnlnnf/hDPvSh7N379JL+ssty44054ww32K0fgifJLOnDh/Pxj+dzn0syO4R73nnZvTvnn5+VlQwGtvHWPMEzc3S5vmtXPvrRHDo0a/600/LlL2fLln94DWuUnx4zw+FsW/5978vevTn33Bw5ksXFPP543vrW7NyZp56a7eezdhnh+WfTYfyhh7J9+9M30q6s5J3vzA035MwzLenXMCM8/2w6jL/gBfnmN3PttRmPs7KSxcV87Wu55JL8/OfupV/DjPD876bD+HicW27JddflqadmS/ozzsitt2bz5sSSfg0SPP+noz3fc0+uuip//OPsZM5olJ07c911sxN7pvdriOD5d47eYPe73+U978l9982aT3LVVbnhhjznOZ6fsZaYkPHvTD97X1nJC1+Y734327ZlaSnDYRYW8pWv5G1vy69+NXtgnoFjTRA8/7/pAzM2bsyuXfn8559+JOa99+Ytb8m+fUb4NcOUnv/U0cN2+/fn3e/OI4/MpvfPelY++cl85COJ52fMPcFzDKbPuh8O85vfZOvW3H//bLRPcvXV+cIXcuqptvHmmik9x2AwmE3vX/zifO97ede7sryc0SijUW65JZdckoce8tX1c03wHLNp0hs35qtfzc6dswdgbtiQu+7Km9+cu+56+pQu88aUnuN0dHr/rW/lAx/In/88W9I/4xnZvz+vfa31/DwywnOcpht4y8vZsiV33JFXvGL2+fxLXpKzzpq9gHljhOdETQ/ePPporr02Bw7knnvy0pc6dTunBM8qmO7MP/lkDh3KWWeZzM8vwbM6RL4mmHWxOqa1Gz7mnOBZTQb5OSd4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPI/QKqV809Iq+oAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.9190731954118747, 2.5860255188025265, -32.101909735732576])", "action": "('move', [-2.9190731954118747, 2.5860255188025265, -32.101909735732576])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKT0lEQVR4nO3df6jddeHH8dc5596JQW1moBT6R6VRhIRklPRDCCrIaayUwgxXzZq2yv4o/6mof0ZIP0CTpsEKYpRJtcCN8sfQilCiqKjAEoqkrIk/9sfK3Xvu+f5xDpPq++3btks7974ej7+2cQYfuPd53j/O+/M5g8lkEqDD8GRfAPDfI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngosnCyL4B/MR5nPE6SxcUMBif7alhXBpPJ5GRfA/BfYko/T5aXk+Q738nmzXn723PwYJJ4R2b1CH7+bNqUffvyjW/kjjuSZGXlZF8Q64fg58nCQsbjXHRRLrooGzZkz57ZYh5WieDnzHQC/4Y35MiRPPlkHn88o5FBntVil37OjEZJcvnlOeWUvOY12bgxSYbel1kddumhiKFjLk0mWVo62RfBOiT4uTQYZGEhjz2WPXty4EBir57VIfh5NZnkYx/LFVfkppty+HCGQx/Ic+IEP5cmkwyHef3rk+S++/Lb3yYGeVaB4OfSdDC/4II873l59NHcf39ir55V4HdoLk3vmTn77LzpTRkM8u1v529/y2BgVs8JEvxcGgyyvJzFxbzudUly5515+OGTfU2sB4KfV9NB/pWvzItelJWV7N//9D/C8RL8vJqeqD3nnLzqVZlM8qUv5ciRk31NrHmCn2PTu2UvvDDPfnbOOWf2VzgBjtbOsckkg0GeeCIPP5yzz84zn5mY1XNCBA9FTOnn3mQyO3KzspK//90nc5wIwa8Fw2HuvTc7duTGG2ef2MFxEfzcmw7pu3bl5ptz220eicGJEPzcm+7Sbd+e4TC//nV+9KMMBh59xfER/NybBv/yl+f5z8/hw/nhDxPn6jlOfm/WiFNPzWWXJcmBA/nTn8zqOT6CXwumy/jNm7OwkJ/8JL/85dP/CMdC8GvBtO1zz83552cyyQ9+kJUVs3qOg1+atWA4zMpKTjstF1+cySS7d+cvf3G3LMfBY6rXiMkko1Fe/epceGG2bJk9vvo/O2Y7PaH7r3+mkKO1a8rKSpaXs2HDsf6/Bx/M3Xfn6qszGmU8nj38nkKm9GvKcHhMtU/fzA8dypVX5pprsn17Hnsso5Gjer0Ev25NJplMMh7nve/NAw9kYSG33prLL8+DD86+w45Cgl+3pmv1wSAXXJCFhdlS4O67c+mlufPOjEa2/BpZw69nR7fo9u7Ntm05eDAbNuTIkWzalE9/Ojt2/MNraCD49W+a9C9+ka1b89OfZnExS0sZDHLNNfnsZ3PKKVlezoKPazqY0q9/03ttzjsv3/9+3vGOLC1lNMpwmC9+MVu25Pe/z8JClpbM8CsIvsL06P3pp2fPnnzqUxkOMx5ncTH79uXii3PgQBYXbeNVMKUvMv1RDwb5+tfzwQ/m4MHZ9P7007NzZ7Ztm73Gkn4dE3yX6Qd1Cwt54IG8//352c9mzS8s5MMfzmc+MzvF65z+eiX4Okebf+SR7NiR22/PaDR7cNall+bmm/Pc52Y8znBoqF+HvJPXmX73/HicM8/Mbbfl+uszHM6+2Grv3rzxjfnxj2drfmPB+mOE73V0ub57d66/Pn/962x6v2lTbropV1yRxPR+vfHD7DWtfTzO1q25/fa87GVZWsriYp54IldemU98IsvLsyU964YRnlnnf/hDPvSh7N379JL+ssty44054ww32K0fgifJLOnDh/Pxj+dzn0syO4R73nnZvTvnn5+VlQwGtvHWPMEzc3S5vmtXPvrRHDo0a/600/LlL2fLln94DWuUnx4zw+FsW/5978vevTn33Bw5ksXFPP543vrW7NyZp56a7eezdhnh+WfTYfyhh7J9+9M30q6s5J3vzA035MwzLenXMCM8/2w6jL/gBfnmN3PttRmPs7KSxcV87Wu55JL8/OfupV/DjPD876bD+HicW27JddflqadmS/ozzsitt2bz5sSSfg0SPP+noz3fc0+uuip//OPsZM5olJ07c911sxN7pvdriOD5d47eYPe73+U978l9982aT3LVVbnhhjznOZ6fsZaYkPHvTD97X1nJC1+Y734327ZlaSnDYRYW8pWv5G1vy69+NXtgnoFjTRA8/7/pAzM2bsyuXfn8559+JOa99+Ytb8m+fUb4NcOUnv/U0cN2+/fn3e/OI4/MpvfPelY++cl85COJ52fMPcFzDKbPuh8O85vfZOvW3H//bLRPcvXV+cIXcuqptvHmmik9x2AwmE3vX/zifO97ede7sryc0SijUW65JZdckoce8tX1c03wHLNp0hs35qtfzc6dswdgbtiQu+7Km9+cu+56+pQu88aUnuN0dHr/rW/lAx/In/88W9I/4xnZvz+vfa31/DwywnOcpht4y8vZsiV33JFXvGL2+fxLXpKzzpq9gHljhOdETQ/ePPporr02Bw7knnvy0pc6dTunBM8qmO7MP/lkDh3KWWeZzM8vwbM6RL4mmHWxOqa1Gz7mnOBZTQb5OSd4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPI/QKqV809Iq+oAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c5f8ccea7e135b1a17384723db438d159398a6bb23eb0dc6d40ce705f946a839"} +{"episode": 85685, "episode_seed": 540898590, "split": "train", "timestamp": "2025-09-16T00:21:13.653457", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 540898590, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7768105675802689, 0.6516741742156332, 17.50655981586877])", "action": "('move', [0.7768105675802689, 0.6516741742156332, 17.50655981586877])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7768105675802689, 0.6516741742156332, 17.50655981586877])", "action": "('move', [0.7768105675802689, 0.6516741742156332, 17.50655981586877])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7768105675802689, 0.6516741742156332, 17.50655981586877])", "action": "('move', [0.7768105675802689, 0.6516741742156332, 17.50655981586877])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "218f68dbe541e3f3826e084c9a7e16163e258dd487d28bf8701d023cf266b1a9"} +{"episode": 85686, "episode_seed": 2133193086, "split": "train", "timestamp": "2025-09-16T00:21:14.578162", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2133193086, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.306608719395681, 4.62549685080173, 7.087675600655207])", "action": "('move', [9.306608719395681, 4.62549685080173, 7.087675600655207])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.306608719395681, 4.62549685080173, 7.087675600655207])", "action": "('move', [9.306608719395681, 4.62549685080173, 7.087675600655207])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALnUlEQVR4nO3da4hU9QPG8efMzM6qYZiopd1AEpFAEEoMNulGYjc3WTdhS8It0UgpLXuxb0pKSQupLARzLZVsxWpRZFUUpRtUFobQmmISBEHZ1i5pujszpxdn2BXr/6/VnTNner6fF74QYQ443/ldzi0Iw1AAPKTKfQAA4kPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPFAOhYJyOYVhzB8bhLF/JIByYYQH4pXPS9Lhw1q7Vj09kuIc5wkeiFEYKpWSpNde08KFqq3V2bMKgtg+n+CBGBUKCgLt3KnmZuVyuvFGVVfH+fms4YG4hKHCUJ2duvNOHTyoyZO1e7eGDVMYxjbIM8IDMUqltGaNDh7U0KF69lkNG1Yc82P7/Ng+CbAWDeOHD+ullyTpgQd0223K5eKsXUzpgZiEoQoFTZumfft03XXavVtjxyqfVzod51EwwgOll88rCLR3rz77TJIWL9bYscrlYq5djPBAHKLKgkAtLdqzR+vXF/8y3vm8CB6ISbQ5F3vh52FKD5RYGOrMGaVSCgLl88rlyngsBA+UTO+J93vu0Zw5+vFHpdPxr9vPlSnjZwP/fUGgdeu0b58kPfigRo9WoVDG5lnDAyUThvr2W02Zos5ONTbqjTdUVSWpjCt5pvRAaRQKkvT00+rs1FVXackSZbMxX1f3VwQPlEA+r1RKmzaprU1VVVqyRBMmlOXE+3mY0gMDLRrGv/9e06fryBFNnaq2NmWzSqfLflqOTTtgQEU786mUVq7UkSMaMkSrVmnIkLJcZvNXBA8MtHRa+byuvlqjRmnuXE2enJDaxZQeGGBhWFzAp1L68kuNG6dLLy33MfUheKAEonvjyr1F91fs0gMD6vhxvfqqgqA4sU/YgErwwACJ2l66VE88oYce0pkzjPDAf1R0Km7LFu3YoTDU+PEaNEg9PQnZq+vFGh64aIWCwlAdHaqp0dGjqqnR3r3KZqVyXkX7txjhgYsTnXhPp7VihY4eVXW1VqxQdXVyTsWdi+CBixM9l+7DD7VhgyTNn6+amr4XTiQMU3rgIkRL959/VkOD9u7VuHH69FMNH57M2sUID1ysINBXX+nAAUlavlwjRiRwJt+LER64CIVCcTBfv15HjmjZMg0enMzVe4TggQsVhR1dSJvUws/DlB64IFHtHR3Fm17z+eJ7oJON4IH+i/bqfv1VM2Zo3jydPKl0OrEbdeeqgEMEEicazFes0Mcfa8MGffONpKRdNv+3CB7op3xeVVX66CO9/bYkNTZq6tTEnng/D5t2QH9Ek/k//lBdndradO21+uILjRyZ5J35c1XAbxKQINHropqb1dYmSS+8UEG1i0dcAf0ThX3HHaqp0WWXqb6+IpbuvZjSAxfkt9+UTmvo0HIfR/8QPNB/vXP4ypnMR5jSA/0XBH2vfK8oBA9ckEpLPcIuPWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQfMULw74/gf+P4CtboaAgkKQgUD5f7qNB4hF8BcvnlUrp1Ck1NenQIaXTjPP4BwRfqQoFpVLq7NT8+Vq+XPX1am9XEKhQKPeRIcGCkEGhAvXW/sgj2rZN2ay6uzV5svbv1+DBkorzfOA8mXIfAPotqr2rS3PmaPt2VVWpu1tDhmjhQlVVSdSO/40RvsL0ju319dqzR1VV6unRoEHaskW1teU+OCQea/hKEu3S/fKLamu1Z48yGfX0aNgwvf8+teNfIfiKkc8rndYPP+i++3TggDIZ5XK6/HJt26bp09mrw7/CGr4yFApKp3XihOrrdfBgcSY/ZozefVc331z8LQD+EcFXgGjd/t13mjlTX39drP3KK7Vtm6ZMUS6nDP+N+Hf4piRdNHofO6YZM9TeXjwDd801am3VpEnUjv5hDZ9ouZzSabW36+671d6u6mp1d2vsWO3YoUmTlM9TO/qH4JMrGr0PHdK99+rYMWWzOntWEyZo+3ZNnFhc1QP9QvBJFIYqFJTJ6PPPNXOmjh8vXl0zcaI++EDXX188Pwf0F9+ahEql9MknqqvTiRPFXbobblBrq8aPZ08eF44lYOKEoYJA+/errk4dHcXab7pJ772n0aOpHReFET5BwlD5vIJAu3bp/vvV0aFsVj09uuUWtbZSOwYAwSdFVHs6rdZWzZ6tzs7invy0adq6VaNGUTsGAMEnQlR7JqOWFj38sLq6invyM2Zo0yaNHMmePAYGwSdFJqONGzVvnrq6lE6ru1t1dWpu1siR7MljwPA9KrPo7uQg0Lp1WrBAXV1KpZTLqaFBzc0aPpyZPAYSwZdT77MIXnlF8+fr9GllMsrn9eijam7W0KHM5DHACL5sonV7GGrlSj35pAoFZbPK5fT443r9dWWzxXtmgAHEF6o8enfpnn9ezzyjICjeFbNkiVavViZD7SgJHnFVBmGoMFQqpaYmLV+udFpBoFxOTU167rniE+moHaVA8HGLLqST9NRTevllpVLF/pctU1NT31slgFLg0tpYRRP1MNSiRVqzpq/2F1/U0qXSOT8HQCkQfHyi2s+c0cKFevNNpVIKAmUyWrVKixb1/QOgdJjSxyR6Cdzp03rsMW3c2Ff76tVasKDvbDxQUgQfh2iifuqUGhvV0lJ8CVw6rbVrNXdu8beA2hEDgi+5qPbTp9XQoNbW4u2umYzeeksNDcWHWFE74sEavrSi2n//XbNna+fOYu3ZrDZv1qxZPJQOcWOPqISiydNPP2nWrL7aL7lELS2aNYvLZlEGBF8q0XPpgkCLF2vXLlVXq6dHw4dr61bV1rIhj/LgS1cq0T5cGKqxUWPG6OxZXXGFtm7VXXcpl6N2lAffuxKKrqu59VZt3qwpU/TOO7r9dtbtKCd26UsuuqH95EmNGMGLYlBmBB+HaMXOuh1lR/Ax4SJ5JAEjTkyoHUlA8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0b+BFMKIfROThYuAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALiklEQVR4nO3dXYhUdRzG8WfOzM5ukqamppgEkkV3BrV0sQpKFr2olam0uUZaJolkSkZEEKFtWZRppWkqq2VILEFlm7ZCWRSVdZEQtlARlAaKuSGkzcvp4hw2sW5qZ8456/P9XIlezEH4zu9//nNecmEYCoCHIO0DAJAcggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOCBNFSrKpcVhgl/bC5M/CMBpIUJDySrUpGkgwe1caNKJUlJznmCBxIUhgoCSVq/XkuX6pZbdPq0crnEPp/ggQRVq8rltHu3tm5Vuayrr1ZjY5Kfzzk8kJQwVBiqt1fXXacDB9TcrD17NHSowjCxIc+EBxIUBHrxRR04oMGD9fjjGjo0nvmJfX5inwRYi8b4wYN69llJmjtXU6eqXE6ydrGkBxIShqpWdf312rdPl16qPXs0frwqFeXzSR4FEx6ov0pFuZy6u/X555K0fLnGj1e5nHDtYsIDSYgqy+W0a5f27tWWLfFfJrueF8EDCYk25xIv/Cws6YE6C0OdOqUgUC6nSkXlcorHQvBA3fT98H7zzZo/X0eOKJ9P/rz9TIUUPxs49+Vy2rxZ+/ZJ0rx5GjNG1WqKzXMOD9RNGOq773TNNert1cKFevllNTRISvFMniU9UB/VqiQ99JB6e3XxxVqxQsViwtfV/RPBA3VQqSgItGOHurrU0KAVK3TFFan88H4WlvRArUVj/KefdMMNOnRIkyerq0vFovL51H+WY9MOqKloZz4ItGaNDh3SoEF65hkNGpTKZTb/RPBAreXzqlQ0bpxGjdKCBWpuzkjtYkkP1FgYxifwQaCvvtKECRoyJO1j+hvBA3UQ3RuX9hbdP7FLD9TU999r3TrlcvHCPmMDleCBGonaXrlSy5aprU2nTjHhgXNU9FPcG2/onXcUhrr8cjU1qVTKyF5dH87hgX6rVhWGOn5cLS3q6VFLi7q7VSxKaV5F+6+Y8ED/RD+85/Nqb1dPjxob1d6uxsbs/BR3JoIH+id6Lt3+/dq2TZIWL1ZLy98vnMgYlvRAP0Sn7keP6s471d2tCRP06acaPjybtYsJD/RXLqevv9aHH0rSk09qxIgMruT7MOGBfqhW42G+ZYsOHdITT+i887J59h4heOD/isKOLqTNauFnYUkP/C9R7cePxze9Virxe6CzjeCB/y7aq/vtN82cqUWLdOyY8vnMbtSdaQAcIpA50TBvb9cnn2jbNn37raSsXTb/rwge+I8qFTU06OOP1dEhSQsXavLkzP7wfhY27ZBp5XJ8a3lWRIv5P/7Q7berq0uXXKIvv9TIkVnemT8TT7xBdoWhCoX4D1mpKXpd1Nat6uqSpNWrB1DtInhkU9+D4VavVnOzpk1L+4D6RGFfe61aWjRsmObMGRCn7n1Y0iOLSiU1NGjrVi1cqPPP17p1am1VQ0OW1vYnTiif1+DBaR/Hf0PwyJzobpSPPtLs2Tp2TGGopibt3atJk+J/Sl/fGn7gLOYj2fnCBCTFd5r+/LMeeEBHj8avZlqyRJMmZWkjPJeLzzoGVO1iwiNToohKJd16q7q6VCioXNb06ersVKEw4OLKoox8YQKxINDKlfELmsplTZyoV16J5zz6j+CRFeWycjm99JLWrVOhoFJJw4drwwaNGaNKhfFeGyzpkQnlsgoFffCB5sxRb2+8M9fRodbW+J9QE0x4pK9aVaGgH3/U0qU6cUKNjSqX9dhjam3N5tscBjAmPFIWbdT9/rtmztT+/fFG3Zw52rEjvgONxXwNsVRCmqJxE23U9dU+caLWr1exOBB/9so6lvRIU5T0Cy9o8+Z4W37ECG3frlGj4rtUUFss6ZGa6LK599/XjBnxFn0+r85OTZ+emSvqzjlMeKQjSrqnR/fco1JJxaKCQO3tmj49S1fUnXP4f0UKouX6r7+qrU2//KJCQadPa948LVkSP0uGxXydsGmHpPVdP/vww/rii3ijrrlZTz2VzdexnVOY8EhadHvM+vV6/XUViyqXNXasXntNF13EYr7u2LRDoqJT97ff1m23KQzjS27ee0/TprFRlwS+TpGc6LK5b77R3XfHeQeB1q7VtGnx2Ee9ETwSEm3UHT6stjYdPx7fHrNokRYvVrWa9sHZYEmPJESr9z//1F136c034426KVPU2akLLpDEqXtC+G9G3UXb8vm81qxRZ6eamlQu67LLtG2bhg2TqD1BTHjUXXS6vnOn5s+P38I2ZIjeektTprBRlzS+WlFf0UbdZ5/p/vvji2rCUE8/Te3pIHjUVxDo8GHde696e+PbY5Yt0333sS2fDpb0qKNqVaWSZs3S7t1qaFCppBtvVGenisX4DS5IGBMedRFtyweBHn1Uu3ersVGlkq68Ups2qamJ2lND8KiLSkVBoE2b9NxzamjQ6dMaNUpr12rs2PhOWKSCJT1qr++JlLNnx0+krFb16qtasIAnUqaMCY8ai175+sMPevBB9faqWFSlokce0YIF8ZXzSBETHrUUXWNz6pRmzNC+ffFG3axZ2rVLuRwX2KSP71vUWBBoxYq/a7/qKm3YwMNns4KvXNRM9H6YtWu1cWNc++jR2rBBI0cOrHeon8tY0qM2ot24d99Va6tOnozn+c6dmjs3ftk7soAJjxqIduN6erR8uU6eVLGoalWrVmnuXFUqbNRlCBMe/RXd6H7kiO64Q/v3x4v5tjZ1dMSPnefsPTuY8KiBXE7d3fGrY0olNTfr+efjv6f2TCF49FcQqFrVTTdp1SqVyxo9Wtu368ILeVFUFrGkRy11dGjcOE2dGl9Ij6wheNTGmfOc2Z5Z7J+iNqLCo/FB7ZlF8KglUs84TrMAIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMhfWLMg+s8yQc0AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.306608719395681, 4.62549685080173, 7.087675600655207])", "action": "('move', [9.306608719395681, 4.62549685080173, 7.087675600655207])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2klEQVR4nO3dT8hldR3H8e8593nGFm56zD+llbhxYeGIiv9TGKUgBsu/qFAaFKQLzdy4aozGmSKjxUT/cOPOhWk2KRiFJuOfVAoDkcHF+CejphAFdZy55/xaXAkxQmecuc8dP6/X8m7Ob/N+vr9zf+c5t2utFZChX+0FAPMjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieFgdw1DjOO+LCh5WwTjWZFJ9X9PpXK8reJi31qrva9u2evHFWlqa66UFD3M1DNV19fTTtX59XXRR3XvvXK/etdbmekEI1lq1Vm+9VddcU3feWVV16KF1zz21bl0NQ00mB3wBJjzMz2wzf++v2113jWvWVN/XCSe0k09++/M5MOFhTlqravWPf9a554zbn+uXlqrr6pFH6pRTqrXqunmswYSH+en62rxp3P5cv7xU02m74fo2z9rLhIf5mFW9bVud97mxdf041vHHj398qDv8iG6ewZvwMCe7d9e3bxynY99addVu2dAffkQ3jvOrvQQPc7BnT3Vd/fhH4+N/6pbX1Di2yy5tX/pyDcO8V2JLDwfW7LxtdvD+4ktVrY7+RPvN1m7t2jkdxb2TCQ8H0Oyb+V27avPmeuGFWppUVbvu2nHt2tqzZ961lwkPB9Q4Vt/XXXfVlVfWMNQw1Kmn1kMP1SGHVNfN9e59RvBwoLSxur7+/a929lnt2e39ZFKt1YMP1jnnzPUo7p1s6eGA6aqqbrutnt3eLS/XMNR1161m7WXCwwEyq/rJJ+v008eqfhjquGOHbY/2Rx7ZVa1a8PP93zyIMY41Hepb14/D0K9ZU33fvndrf9RR3eyufrXY0sP+Nztv++lP2iOP9ZNJ7d7dLlzf1q+f92M2/8uWHvazYai+q+3b27p17eW/d33fHXFEu++3be1J/fwP3t/FhIf9aXbr3vW1eXP3t5f7vu+GoX3j67X2pH46XeXay4SH/Ws6raWluudX46WXV1U/ndZJJw6PPD5Zs1xVq3n3PrPa14cPkdZqMqmdO2vjpn467atqadJ+8MPJRw6pWoDaS/Cwf3VdbdlSTz5Zy8s1ndbXrm7nnz+/F9q8J1t62D9mJT391zrrzNq1q6rqmGPq0cfqqCOrVu/g/V0W488OfCh0Xd14/fD669V1NQy1YUN9/Ki3P18Qgof9YPby6Z//bPzDg/1sM3/hhXXFFbVoG2hbevigZqfrz+9o555bL7zUtbEOW2lbt7bTz+hnX9ovjkVaCxyEWqtxnG3g2/MvdEvL1bq69ptv177qB+/vYsLDBzIb71u3tquu6t54o6bTOvGz4+9+36+sVNctypfz/7Vgy4GDyuy8befO9t0N7bXXWmvV923jxu7ww6sW4+D9XRZvRXBQ6bq6/fbuiaf65eVuGOqqK+uL67vZj8MuIFt62Eezx+afeaadcnLbtbuvVh9bGf78l/7oY+b6qvm9YsLDPpp9XXfTTd2bu/qlSbXWNn1/ssi1l+Bh38zeY3HHHXX//TWZ1J499YXP1+WXLfqO2ZYe9to4VlW99FKdd17t2FF9X4cdVnffXWeeWav7Qpv3tMBLg4U028n3fd26cdyxoy0t1TDU1VfXaafVnj0LXXuZ8LC3Zg/P3X9fu+SS2vVW11p95oR68KFaWVn08V4mPOyV2Xnbq6+2TZvrjTe7vq+u2nc2tJWVmk4XvfYSPOy1Vr/8RXv44ba0VNNpXXJRu/jirrXFemb+/7Glh/drdt62fXudfXZ75ZVuHGvlo+2Jp7pPfXJ1fjdqH5jw8H51XU2ndcMNtXNn1/c1juMtt9Sxnz5oai/Bw17pujruuFqzpnbvrgsu6L/y1W52RHewEDzshb6vLVvqgQfqjDPq5pvr0ENX84fi9oF7eNhHB1fqMyY87LXZszcHXe1lwkMUEx6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/Ad2axiOsyTyAgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2klEQVR4nO3dT8hldR3H8e8593nGFm56zD+llbhxYeGIiv9TGKUgBsu/qFAaFKQLzdy4aozGmSKjxUT/cOPOhWk2KRiFJuOfVAoDkcHF+CejphAFdZy55/xaXAkxQmecuc8dP6/X8m7Ob/N+vr9zf+c5t2utFZChX+0FAPMjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieFgdw1DjOO+LCh5WwTjWZFJ9X9PpXK8reJi31qrva9u2evHFWlqa66UFD3M1DNV19fTTtX59XXRR3XvvXK/etdbmekEI1lq1Vm+9VddcU3feWVV16KF1zz21bl0NQ00mB3wBJjzMz2wzf++v2113jWvWVN/XCSe0k09++/M5MOFhTlqravWPf9a554zbn+uXlqrr6pFH6pRTqrXqunmswYSH+en62rxp3P5cv7xU02m74fo2z9rLhIf5mFW9bVud97mxdf041vHHj398qDv8iG6ewZvwMCe7d9e3bxynY99addVu2dAffkQ3jvOrvQQPc7BnT3Vd/fhH4+N/6pbX1Di2yy5tX/pyDcO8V2JLDwfW7LxtdvD+4ktVrY7+RPvN1m7t2jkdxb2TCQ8H0Oyb+V27avPmeuGFWppUVbvu2nHt2tqzZ961lwkPB9Q4Vt/XXXfVlVfWMNQw1Kmn1kMP1SGHVNfN9e59RvBwoLSxur7+/a929lnt2e39ZFKt1YMP1jnnzPUo7p1s6eGA6aqqbrutnt3eLS/XMNR1161m7WXCwwEyq/rJJ+v008eqfhjquGOHbY/2Rx7ZVa1a8PP93zyIMY41Hepb14/D0K9ZU33fvndrf9RR3eyufrXY0sP+Nztv++lP2iOP9ZNJ7d7dLlzf1q+f92M2/8uWHvazYai+q+3b27p17eW/d33fHXFEu++3be1J/fwP3t/FhIf9aXbr3vW1eXP3t5f7vu+GoX3j67X2pH46XeXay4SH/Ws6raWluudX46WXV1U/ndZJJw6PPD5Zs1xVq3n3PrPa14cPkdZqMqmdO2vjpn467atqadJ+8MPJRw6pWoDaS/Cwf3VdbdlSTz5Zy8s1ndbXrm7nnz+/F9q8J1t62D9mJT391zrrzNq1q6rqmGPq0cfqqCOrVu/g/V0W488OfCh0Xd14/fD669V1NQy1YUN9/Ki3P18Qgof9YPby6Z//bPzDg/1sM3/hhXXFFbVoG2hbevigZqfrz+9o555bL7zUtbEOW2lbt7bTz+hnX9ovjkVaCxyEWqtxnG3g2/MvdEvL1bq69ptv177qB+/vYsLDBzIb71u3tquu6t54o6bTOvGz4+9+36+sVNctypfz/7Vgy4GDyuy8befO9t0N7bXXWmvV923jxu7ww6sW4+D9XRZvRXBQ6bq6/fbuiaf65eVuGOqqK+uL67vZj8MuIFt62Eezx+afeaadcnLbtbuvVh9bGf78l/7oY+b6qvm9YsLDPpp9XXfTTd2bu/qlSbXWNn1/ssi1l+Bh38zeY3HHHXX//TWZ1J499YXP1+WXLfqO2ZYe9to4VlW99FKdd17t2FF9X4cdVnffXWeeWav7Qpv3tMBLg4U028n3fd26cdyxoy0t1TDU1VfXaafVnj0LXXuZ8LC3Zg/P3X9fu+SS2vVW11p95oR68KFaWVn08V4mPOyV2Xnbq6+2TZvrjTe7vq+u2nc2tJWVmk4XvfYSPOy1Vr/8RXv44ba0VNNpXXJRu/jirrXFemb+/7Glh/drdt62fXudfXZ75ZVuHGvlo+2Jp7pPfXJ1fjdqH5jw8H51XU2ndcMNtXNn1/c1juMtt9Sxnz5oai/Bw17pujruuFqzpnbvrgsu6L/y1W52RHewEDzshb6vLVvqgQfqjDPq5pvr0ENX84fi9oF7eNhHB1fqMyY87LXZszcHXe1lwkMUEx6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/Ad2axiOsyTyAgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7ca0fcd688a2ad12653d3fda3b9c996e85dda8c71723ca8c425c6912ff61c4d1"} +{"episode": 85687, "episode_seed": 1991000582, "split": "train", "timestamp": "2025-09-16T00:21:15.184725", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1991000582, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-18.992798825046105, -7.753923923357828, -33.96558258772751])", "action": "('move', [-18.992798825046105, -7.753923923357828, -33.96558258772751])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-18.992798825046105, -7.753923923357828, -33.96558258772751])", "action": "('move', [-18.992798825046105, -7.753923923357828, -33.96558258772751])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ9UlEQVR4nO3dTagd9R3H4e+cc5OGaBSlRrvQVhC0Bbuwtl24iEIR1EWkvoEpiArWqhuVEhdCobtuNAoq+AaFSlRUFIlSfEERg1WzUASxvtAWQRHFoLa9N7lnpos5VTdd2Nxz5sTf8yzP3QyX+7m/mf/8z0zTdV2AGkZDHwAwP4KHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUInjmoevStkMfBMnS0AfAt1/XpWnSNEMfByY8c9A0efXVPP10EnN+YIJnVvq2n3su556bLVvy+9/niy/SNOm6oY+sMMEzK5NJkuzcmccey7/+lZdfzpNPpmmmnzMIwTMr43GSXHddDjsso1FWVvLoo1lezmhkyA9G8MxKH/aJJ2bLlrRtxuM88UTeeCOjkSv5wQie2WrbXHttkjRN9u7NY4+l6wz5wTSdXzwztm9fTjste/akaXL00dmzJ9/73vReHXNmwjNz69fn6qvTdRmP88EH2bVr6AMqzIRntto2o1E+/DA/+1nefz9JTj45e/ZkyZ6vIZjwzFa/RLd5cy6/fDrkX389zzxjs+0wBM/M9at0Z52Vo45K26ZpsmOHC/hhCJ6Z64f8KafkzDPTtum6/OUv0zU8Q37OBM/M9bvrlpZy3nnZsCFJPv00994r+AEInnlYWkrb5swz89OfTj956qn84x8Zj+20nSvBMw/9kD/kkGzdmnXr0jR555089JDv0syb4JmTpaV0XS67LEcfnSRdl8cfzyefZDzW/PwInjnph/kRR+S889J1WVrKiy9m925X8nMleOanb/6aa7JuXdo2+/fn/vuzsmLIz4/gmZ/+QVcnnJBzz53enH/kkbz1VhLBz4ngGcBvfjMNfnk5O3cmychf4lzYS89c9V+S++c/84tf5KWXMhrlyCPz1ls58kjfn5sH/1eZq36JbuPGXHFFkozH+fjjPPDA0IdVhuAZQNPk9NPzwx9mdTWjUW6/3UL9nAieees34Rx/fLZuna7Vvf12Hn3U8y3nQfDM25e76375y2zenLbNykr++Mfph9aUZkrwDKDfQn/KKTn99Oknu3fnlVcyHju3ny3BM4B+yI/HueiibNyYJB9/PL0/13WG/AwJnmH035/bujUnnjjdkPPnP+edd6afMyOCZzD9kP/y0Vdvvpmnnhr6mL7tBM9g+t11v/pVjjlmuj7/pz9l715X8jMkeAbT76s7/PBccsl0yO/enZdf/upHrDnBM6R+ie7SS7N+/XRr7b33ZnVV8LMieIb05ffnzj9/+v65hx/Oe+9Zq58VwTOwvvNLL814nKbJ6mruuMOEnxXBsxB+8pNs2ZL9+zMa5b77snev5mdC8AxsNMpkMn30Ve+TT3L33UmyujrgcX07CZ5FcfbZOemktG3aNg8+mOVlb5Vee4JneONx9u/PD36Qs85KkqbJG29k167p8GcNCZ6F0A/ziy/O5s3puvz739m5M5OJB9evMcGzEPrddaeemp//PEmaJi+8kJde8mqaNSZ4FkW/LH/VVRmN0jT56KM88cT09fKsFQ+xZIF0XSaTnHpqXnstTZPvfz/PP5/jjpP9mvFbZLEsLeWqq5JkNMrf/pZduxJb69eO4FksXZcLLshRR6Vtc+yxWVpKBL92nNKzcLoud92V5eX8+tf5znc8r34tCR4KcUrPIppM3I2bCRMeCjHhoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoZCDLXjvyYEDcPAE36fuNaJwAA6S4Ps3Bi8v57nnvvoE+IYOhuD7tvfvzw035Iwz8oc/ZN++dJ3m4Zta+OD7qieTbN+eW25JktdfT9sOe1BwkFrs4L9e+803J8mFF+a227JhQ+J6Hr6xpaEP4H/ra2/b3HhjbropSS66KHffnUMPTddltNj/qmAhLWrwXZfJJKNRRqP8+MfZtCnnnJN77snGjWlbtcP/p+kWcOmrX5PP127F7d6dE07I5s1qhwOxeMH3SS8v59lnc/bZydf6Bw7Mgk3Ltk3TZHU127fn/PPzu98lSdOkbd2EgwO3SNfw/WyfTPLb3+bWW5Pk3XeTWKKDtbIwwfdVt22uv356v/3ii3PnnYnbb7BmFmNy9lfp+/bl2muntW/bljvvzMaNzuRhDS1A8H3Sn3+e7dunZ/LbtuX223PIIdNLemCNLEDwq6tpmuzcmR07kmTbttx2WzZtcgcO1twC3JbrN8b//e+58socfnjuuUftMCMLEHz+ew3/2WdZvz4bNqgdZmTQrlZXc9NN+etf0zSZTHLYYdmwwU04mJ1BJ/zqataty8kn55ln8t3vTge7VTqYmUFnaX/1/qMfZWVlelavdpilQTfeTCa57LLs2JFNm2yYhzkY9JS+67KyYpUO5mYBVunNdpiXoeeq2mGOhg5e7TBHQwcPzJHgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhfwHoMlszaOJD7AAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-18.992798825046105, -7.753923923357828, -33.96558258772751])", "action": "('move', [-18.992798825046105, -7.753923923357828, -33.96558258772751])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a52c85f040a474e524270614d7515423006cd604901b33198d0bd286062ad5aa"} +{"episode": 85688, "episode_seed": 3609150324, "split": "train", "timestamp": "2025-09-16T00:21:15.789904", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3609150324, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-122.45116385675873, 89.48088908899581, 48.02560420165545])", "action": "('move', [-122.45116385675873, 89.48088908899581, 48.02560420165545])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKxklEQVR4nO3dTWwW5R6G8Xtm3hbQtighgKgt+NGQJpgYmoCGjwSSKsa9S4NWE03cGI0bt4aFSDRqXOnGlRHQxEQxGkuiUUFRRBO0EbFFJYCUaKUFOh9nMZPDOebIQVs6H/f12/VdPZur/2dmnnfeIMsyAfAQlr0AALOH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCkJsEniaamlKZlrwOotyDLsrLXAGCWtMpewEVlmYJAWaadOzUyooEBrVxZ9pqAGqv2lj7ffYyP66WX9NhjeuutshcE1Fu1g8+dOqWxMUlatKjspQD1Vu3g8wk/NqZTpxQEuuGGCx8C+PuqHXxubEwnTyrLdP31ZS8FqLdqB58/hzt1SmfPqrNT8+eXvSCg3qodfBBI0tiYgkDLl6utrewFAfVW4eCzTFEkSSMjyjJde63mzCl7TUC9VTh4SUGgONb585o7V8uWqb29+BDAP1L5k3Zpqu+/1xdf6Kab1N9f9mqAeqt88ABmTrW39P+Jb84A01b54MfH9d13OnOm7HUATVDh4POR/tFHWrFCt96qw4cvfAjgH6lw8Pnd+NFRSZo/X/PmlbscoAEqH/zRo5K0dKm6ui58COAfqXDwkuK4mPBLlqijo+zVALVX7eDPn9dPP0nSkiUKQyUJEx6YjqoGn58OiGMdOSJJixdL3LEDpquqweempnTihNrbtXBh2UsBmqDa77T74QdNTEjSVVdJ3LEDpquqwedtd3frhRc0MaEVKyQprPZ+BKg8ztIDRpiZgJGqbulz+bsru7rUqvY6gZqo6oTPLzQeeUT33KPXX5ekOC53RUADVHVyBoHSVLt36/RprV0r8RAemAGVnPD5eD9+XEmi9nb19krcogdmQCUryoMfGdHkpObOLY7Z8RAemLZKBp8bHdXUlDo7tXSpRPDADKhk8PmEz78n19Wl664rdzlAY1Q4+KNHFQTq6FBHh+KYa3hg+ipZUR788LCyTIsWKcv4AUlgRlTysVw+zFet0i+/qL9fQcAFPDAjOEsPGKnkhJeUpsX7bThUC8wcJjxgpHo37ZJEkoaGdP/92rpV586VvSCgOaoXfH5m/uOP9cor2raN34QHZlD1gs8vMU6eVBjqxhsVhjyTA2ZK9YLPn8kdP6401fLlZa8GaJSKBZ+miiJNTen33xVF6ukpe0FAo1QseElBoGPHdPiwkoRT9MDMquRjuTNntGePvvpKd9+tW24pezVAc1QyeACXR/W29Dn+DQGXQVWD59sywGVQ1eABXAYEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDztZpiwrexElIXjYCQIFgc6d09RU2UuZdQQPL2mq8XFt3aq+Pu3dK0lJUvaaZlGr7AUAs+rXX7Vhg779VpKee06rV6vVUpYpCMpe2axgwsPL1Vdr6VJJiiLt2KEPPnBJPRdktrcv4Cef5J99prVrlSRKU61apU8+Uctmp8uEh5F8mK9apS1blCSKIn3+uV59VZLLfXsmPLzknX/9tQYGdPy4gkDd3Tp4UB0dkpq/vWfCw0sYKkm0cqUeeKD488cf9fTTCgKL2/VMeNhJU0kaHdVdd+nQIYWhFi/Wnj3q7S3mf4Mx4WEnDJWmWrZMg4Nqa5OkY8f07LPFZXyzJyATHo6yTEmiyUmtX68DBxRF6ujQ22/r9tsVx02+ac+Eh6MgUBiqs1NPPlncqPvtNz3/vM6eVRQ1ecgz4eErfyw/MKD33lOrpTjWu+9qYEBpqrCho5Dg4SsPft8+rV+vJFEca80aDQ1pzpzGPp9r6P8x4JL19+vee4tL908/1WuvKQgau6tnwsNavnv/5pviHI6knh59+aW6upo55JnwsJafw+nr0+BgEf+RI9q+XUGgOC57cZcBwQMKAm3Zor4+xbHCUC+/rOFhtVoNPHtH8HAXRYpjLV+uwUG1WgpD/fyztm9XkjTwSp5reKB4y934uDZt0v79iiItWKBdu4pv0TbpsC0THihuy8+fryeeKJ7AnzypF1/UxETT7tgz4YFC/qWaO+7Q+++rrU1hqDff1J13NuocDsEDhX+fw7ntNoWh4ljr1mn3bs2bJzXlq/JN+ccFTFu+e+/v1+Cg4lhtbfrwQ+3Y0ZDUc0x44IJ8937okDZs0OnTxd37AwfU2dmQ7JnwwAX5OZzeXj30kOJYUaQjR/TMM815Hw4THvgv+XO4kRFt3ly8vv6aazQ0pJtvVpbV/u5dzZcPzLQo0tSUenr04IPKMkWRjh3Ttm0NGfJMeODP0lRBoD/+0MaN2r9fkhYu1I4dxbdoa30OhwkP/Fn+0rvOTj3+ePFunPwczuSkVPOX3jHhgf8tfyy/caOGhtRqqa1NO3dq8+Z6n8MheOAvZZn27dOaNYoiJYnWrdM77+iKK6TansOp7X8qYFasXq377lOSFOdwdu0qfl6+ppjwwF/Kd+/Dw+rv18SE0lQ9PTp4UFdeWdddfT1XDcyK/LBtb68efVRJUvwu1fbtCsO63rpjwgMXkw/50VFt2qTDhxUEWrhQe/equ7uWe3smPHAx+WHb7m49/HDxnowTJ/TUU8XntcOEB/6P/Hvyk5PauFH79knSggV64w2tX1+/36UieOBSnTun8+eLC/v2ds2ZU/aC/j6CBy5Jfg6n7riGBy5JA2oXwQNWCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8i9Q7Y95PT2r/gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-122.45116385675873, 89.48088908899581, 48.02560420165545])", "action": "('move', [-122.45116385675873, 89.48088908899581, 48.02560420165545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-122.45116385675873, 89.48088908899581, 48.02560420165545])", "action": "('move', [-122.45116385675873, 89.48088908899581, 48.02560420165545])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK6UlEQVR4nO3dXYhVVQPG8WefmTnZMDN2ETqY2phvIUEfToYJQkLghYRlURFBBGIQqEmfhGZGjRJoEkxN0MdNRNDHhdSFMKJ9aHVTWEGYaY0aiQ0zVqbWnL3Pfi/2fme6esEzZ2avM8//d9dcrQv/rbXXWnufKE1TAfBQKnoAACYPwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBIgwSfJKpUVK0WPQ6gsUVpmhY9BgCTpLnoAfxfaaooUprqgw907JiWL9c11xQ9JqCBhb2kz1YfZ86or0+PPaYPPyx6QEBjCzv4zNCQhoclacaMoocCNLawg89m+OFhDQ0pinTFFWN/BHDhwg4+MzyswUGlqebMKXooQGMLO/jsHG5oSH//rfZ2TZ9e9ICAxhZ28FEkScPDiiLNm6eWlqIHBDS2gINPUzU1SdKxY0pTXXaZLrqo6DEBjS3g4CVFkeJYIyOaNk1dXSqX8z8CqEnwN+2qVR05oq+/1n/+o0WLih4N0NiCDx5A/YS9pP833pwBxi344M+c0Q8/6OzZoscBTAUBB59N6fv3a8ECLVyoo0fH/gigJgEHn+3GHz8uSdOn6+KLix0OMAUEH/yJE5I0a5Y6Osb+CKAmAQcvKY7zGb6zU21tRY8GaHhhBz8yol9+kaTOTpVKShJmeGA8Qg0+ux0Qx/r5Z0maOVNixw4Yr1CDz1Qq+u03lcu69NKihwJMBWF/0+6nn3TunCRdconEjh0wXqEGn7U9d656e3XunBYskKRS2OsRIHjcpQeMMGcCRkJd0meyb1d2dKg57HECDSLUGT570Fi3Tvfco/fek6Q4LnZEwBQQ6swZRapWtXu3Tp/W0qUSh/BAHQQ5w2fT+6lTShKVy7rqKokteqAOgqwoC/7YMZ0/r2nT8mt2HMID4xZk8Jnjx1WpqL1ds2ZJBA/UQZDBZzN89p5cR4dmzy52OMCUEXDwJ04oitTWprY2xTHP8MD4BVlRFvzhw0pTzZihNOUHJIG6CPJYLpvMb7hBv/6qRYsURTzAA3XBXXrASJAzvKRqNf++DZdqgfphhgeMhLdplySStG+fVq/Wtm3655+iBwRMHeEFn92Z//xzvfmmtm/nN+GBOgov+OwRY3BQpZLmz1epxJkcUC/hBZ+dyZ06pWpV8+YVPRpgSgks+GpVTU2qVPTnn2pq0uWXFz0gYEoJLHhJUaSTJ3X0qJKEW/RAfQV5LHf2rD7+WN98o1tv1bXXFj0aYOoIMngAEyO8JX2G/w0BEyDU4HlbBpgAoQYPYAIQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQfGNIEn4vG3XAN2EbQPaVAElpyp1jjAszfNCyd4hKJfX3q69PUZR/8g+oDTN8oLLf1yqVlCTq6dH27Wpq0vXXa8kSJUk+4QMXivfhQ5QkKpUURfruO23YoL171dSkJNGNN2rfPrW2SrxPiJqwpA9OHOff9Xv1Vd18s/buVUtL/rX++fM1NCTxuQDUiuDDEsdqbtahQ7r/fj30kE6fVkuLKhV1dqq3V++8o7lzJfHb2agRS/pQjO7Av/WWnntOP/6olhbFsdJUK1bo+ee1cGE+sbOYR83YtCtetZo/sQ8N6fHH9fbbGhlRuayREU2bps2btXat2tvzpT61YzyY4QuWreEl9fdr7VodPpz/1k6aqrtbvb1askQSO/OoD54FC5OmqlTU3KzBQW3cqOXLdfiwymVVq2pt1fr12r9fS5bk8VM76oIZvhjZ/ZlSSZ99pk2b9OmnKpVUKimOdd112rJFt98ucbUO9UbwBcgyTlNt26YXX9TQUP7ELmn1am3apK4untgxIQh+UmX7c5IOHdK6ddqzR5KamxXHmjlTO3fq7rvzQ3h+JhsTgWf4SZKm+f25ONbrr2vpUu3Zk1cdx1q5Ul9+qXvvzW/UUTsmCMFPhmo1f+NtYEAPPKA1a/JlfKWST+y7dqmrS9Uq+3OYWCzpJ9zoidq772rjRh05Mnaj5pZb1NOjxYtVrSqKeGLHhOPizcTKah8c1JYt6utTmuZXZctlbdqkDRvU3s4TOyYPM/xEGT1R271bTz2lgwfzeT5J1N2tHTu0bFn+n6zhMWl4hq+/NM2X6OfOaeNG3XmnDh5UuZy/8bZ+vfbs0bJlSpKxT9kAk4MZvs5GZ+yvvtLDD+vAAel/B29XXqkXXtCqVdK/zueAycQ/unqqVNTUpPPn9dJLWrZMBw7k9+TjWPfdp337tGrV2KdsgMnHDF8foxl/+602b9auXZLy+3Nz5ujpp7VmjcTEjqIRfB2M7s+99pq2btXAQL4VL+m227R1q66+WkmiKKJ2FIxjuXEZfZX91Clt2KD331cc57W3tqqnRw8+qNZWLsYjFMzwtcteZU9TffSR1q/XwEB+MVbS4sV65RV1d0scvCEkLDFrlNV+8qQefVQrV2pgID946+jQk0/qk0/U3c2r7AgOM3zt+vv1zDP64ouxGzWLFunZZ7VihcSr7AgSz/AXJsv4/Hn19Ojll/X772P7c+vW6YknNHt2/h0bakeACP7CZD/2VC6rv3+s9jlztHOn7rhDUZRv2gFhYkl/wbJJ/vvvddNN+usv3XWXduzQ7NncqEEDIPjavfGG/vhDjzwiiS/GozEQfI1G9+TYnEMD4Rm+RlGUH7lz6oYGwgwPGGGLCTBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyXy36v1dKz3bcAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6807c220ec36a49dff1dcb4b4327201c0344701b229919bcd2f32c10ee5ef722"} +{"episode": 85689, "episode_seed": 975734117, "split": "train", "timestamp": "2025-09-16T00:21:16.391132", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 975734117, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.6996846089180124, 2.7312276016211228, -47.65621227890853])", "action": "('move', [-0.6996846089180124, 2.7312276016211228, -47.65621227890853])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.6996846089180124, 2.7312276016211228, -47.65621227890853])", "action": "('move', [-0.6996846089180124, 2.7312276016211228, -47.65621227890853])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIi0lEQVR4nO3dTWhc5QLG8WdmkoAV/KArFRdKBXeuFDcuhIuICBWUqlCrCAouXCgoKnXlRhdaXBVBEbGCFRRBUEGxK13oRkHRhR8giB+gopU2nSaZu5jQ1lZrvU1ukz6/H6HMnIThEPqf933POXMymEwmAToMT/UOAP8/gocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocixcFPJkny44+56aY8+WSSLCyc2j2C1TZzqnfgVNuxI6++mjfeyLnn5s47s7CQmfrfCaev4hE+yWSSbdty2WUZj3PPPdm1S+2c3gaT6cy209JShsN8/XU2b86nn2bDhjzzTLZuXd4Op53u/9bDYRYWcvHFee21XHpp9u3Ls88ur+SXlk71zsHK6w4+ycxMFhdzySV5+eXccEOefz6jUSaTDIea5/TTPaU/ZDLJYPCnLeNx5uayuJjR6BTtE6y8+hF+ajBYPku3tJTJJN99l7vvzjvvZDQyznM6McIfYTLJ0lJGo2zdmpdeynnnZffuXHWVcZ7ThhH+CIPB8sH5rVtz/vn5/vvcdlvefz+jkWtyOD0Y4Y8xPSf37ru5+eb88ks2bcpLL+WKK1yTw2nACH+M6fH5//wnL76Ys8/Ol1/mjjvyySeZmbGeZ70T/F8ZDjOZ5Lrr8sILOffcfP557rgjH320vB3WLcH/vcXFbN6cnTtz1ln5+ON8882p3iE4WRalf2N6AG9hITffnN9/T5ItW5a356/O28N64KDdcU0my1fdHWl6VE/zrEOm9Md16ETd9BT9/Hx27swNN+SHHzIYOIbHumOEPzHT8fyLL3L55fnjj1x7bXbtysaNxnnWFyP8CZtMctFFefjhzMzk7bezbVt+/fXwNbmwHgj+xEyH8dnZPPxwHnkkw2HefDN33pm9e83tWUcEf8KmzS8t5dFH88ADGQzy+uu5667Mz/ssLeuFNfy/dGjRfv/92bEjSW69Nc89lzPOsJ5n7TPC/0uHFu1PPZV7702SL7/Md98tH8b37snaZoT/n0x/aQcPZseO3HhjNm3yEVrWBcGfhENz+OmD6Udop9mb27MmmdKfnIWFLC5mMMhPP+Waa3LffRkMnKtjzXIt/UkYDJbvgZnk6aezZ0/27MmZZ+bxx7O0dPgqPVgzTOlXyN692bYtr7+eJNu357HHrOpZgwS/EqZr+N9/zy235K23kuSxx7J9u5vksNYIfoVMm//552zZkvfeS5InnsiDDzo5z5pikblCBoMsLmbjxrzySq6+OkkeeihPPOHCW9YUwa+c0Wi5+d27c+WVGQxy5plJHLFn7TClX2nT22N8+20+/DA33XSq9wb+RPCrwLqdtcqUfhVML7yxdGftMcJDESM8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPFp7VV07DVN/7jFLTNYVa60W/kPs7mOnjXLCL8qfY7HGY9z4MDR/47HmZ/PwYM5cODw9oMHMx7nt99ywQW5/fZV3CtoH+H3789nn2Xv3uUI5+cPd3hkk0c+nZ//hx+Y/kGKE/9KMhxmPM7ll+eDD9znmlXUO8JPP7f+1Ve5/vr8+OPKv/602EP3rT+R99V9+zIeZ8MGt8xgtfQGPzU7m3POya+/Jjl6ZD5J01f4u9eZmcnMTEajzMxkdjazs5lMcuGFy/e8hlXSHnySn3/OeHz46WiUubnMzS13OH1w1NOjHh/nu3Nzy23Pzv7Dg8Eg55yTDRsS83lWTe8afnpbmv3788kn2bcvc3MZDjMaZTQ6/ODIr6M2DoeZmfnTRpWy9vUGvxoOrQWOfHCsY98aDi34/a0aVpUp/V8vm48/XB/nu9M/LQdrkxEeiphBQhHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5H/AgD8LdMm9IckAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.6996846089180124, 2.7312276016211228, -47.65621227890853])", "action": "('move', [-0.6996846089180124, 2.7312276016211228, -47.65621227890853])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "33ff5aaea6a32cf9c6591e3f259d7c7cc354db1f37dfea9986c6156389e6a012"} +{"episode": 85690, "episode_seed": 1419761885, "split": "train", "timestamp": "2025-09-16T00:21:17.327215", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1419761885, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.47042824000973704, 2.04362997378994, 9.093682854142912])", "action": "('move', [-0.47042824000973704, 2.04362997378994, 9.093682854142912])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ9UlEQVR4nO3cz4tdZ+HH8c/cmUmNVG0mtKnTBmusi66Kob9QRystWrFVummF0GxEcO3GlSC4ceOfIGKKVIqKmFAFA6mxP6gpCCLS4iI2v0cbsdRGY2bu/S7uzUwmSZEvlGRmPq8Xd3Hm5Nw7NzDveZ7znHNnajQaBegwuN5vALh2BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FZq73G4BraDRa8+XU1HV6H9eN4NlcVpIeb4xGGQxWw+4r/DKCZ8MajVYDHo2ytJQk09MZDJKrtT0c5j//yfnzuXAh77yTkydz/HiOHcvRo1lYyJ49WV7O9PQ1/A9cB4JnIxiNLn9MTWV6es3QPTs72b5wIW+/nX/9K2+/nX/+M3ffnfe/P4NBjh3Ld76TP/whJ0/m7Nk1r3/iRPbsyXAoeLi2xj0nk4E6yXC4Zlp+VceP57nncu5cFhdz5kwWF7O4mL//PSdO5ODBPPTQ5JUPHJikPjub7duzfXtuvjlzc/n0p9d8x81L8KwP48inpiaPSw0GOXcup0/n9OmcOpXTp3PmTE6dytxcvvWt3Hprkvzxj/nGN67+yqdPTzY+/OF897s5fz47duSmmzI3l7m5bNuWublJ6pt9eE8yNbps3RKuo+EwJ07k6NFs3Zr77puM7d/+dn7+89VZ+vhcPcnWrXnhhezenSQvv5wvfCEf+1huuy233776uOmm7NqVubn/8X0Lzt7HjPCsA08/nWeeyfHjOXMm58/n3LksLOTQoSwtZcuW/OMf+fOfk2R6Ou97Xz74wdx6a+64I3feOSl5OMy99+avf82WLZmdzczMu9Y7GmU4zHC4Oo8Yb3TUHsGzLvzpT/nVrybbs7O58cbccENycY795JO57bbccUduvz07d2bnzsys/bkdDDIYXD6Mr6wFXHqOMG67Ju8rmdKzDvzmN3n66ezYkfn5zM9nx4585CP56Eff9fiVH9pLz/YvvUrHuxA8695wuBrzlUt6/H8InnVgfNvMuOqVR8FFsmtP8FDEL1EoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIng2j9Eoy8vX+02sb1Oj0eh6vwd4Lw2HSTI1lamp6/1W1h8jPJvBOPK//CW//W0GgwwGk9pHoxjRLiV4NoOlpSTZty9f+Up27873vpc33shotDrOLy9PfimUM6VnwxsOMxjkb3/Lo4/myJHJzq1b8+CD+frXc//9mZ+f7FxaytTU6vhfSPBseEtLmZnJSy/liSdy8mSSTE9nNJoM6fPz+epX88gjufvu3HJLcnG0n5lpzF7wbHjjqfs77+Tll3PwYA4dyu9/P/mnLVvy3/9OthcW8vDD+dznsrAw2bO8XDfaC57N5uTJHDmSgwfzk5/k7NkkmZ5OMrlid8stueeePPxwnnxydaqfTNb2Nn38gmeTWLkIPzOTJMNh3ngjL76YH/0oBw9OjpmamoQ9GGTnztx7b/buzRe/OHlKLq7qb+JLeoJnsxkOMxpNRvUkFy7k6NHs25ef/SzHjuXcuTUHz8xkfj5PPZUnnsiuXbnxxtVnTU9nsOmuYgmezemqY/Wvf50f/zivvprXXpvsmZ5evTnvs5/NU0/lgQdy112T1C9cyNRUpqc3z4AveCpceop+4kT278+hQzl8OIuLycWzgPHF/JtvzmOP5aGHsrCQnTuTi1OGzbG8J3iKDIdZXs7s7OTLV17Jiy9m//48//xkz6Wr+rt354EH8thjeeSRyZ6VVjZu+YKnzjj7lVP0s2fz+uvZvz/79uXUqckxg8HkMv6HPpSPfzxf+lL27s2uXWteZCOu7QmeUit35qws7731Vg4fzg9+kOefz1tvXX78Bz6Q++/P176Wz38+27at3rGbbKTZvuBpN17eu3RB/tSp7NuXAwfy+ut5880kqx/FSbJ9e/bsyeOP5667smPH5CkbZVVf8DBx5Sn64cP5xS/y0kt55ZXJntnZLC1Njrzvvjz+eD71qXzyk5NpwtLS5LN665bg4XLj2f74YzZJFhfzu9/l0KH88pc5cSJZu6q/bVs+85k8+GC+/OXJSf74cuD6JHi4unH2w+Hqqv5rr+XVV/PMM3nuucmeSy/j33lnPvGJ7N2bRx9dv80LHv6HcfYrt9/8+985diw//Wn27cvRo7lwYc3B3/xmvv99wcMGt/LHcy49RT90KD/8YV54IcePT2b4R47knnsED5vFlZ+rO3s2zz6bAwcyM5Nnn80NNwgeNqPxef7Klfw338zcnFV62NTGn8xd5xfkxgQP740rb+BZhwQPRdb3ryPgPSV4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJ/aNZ1K//kXloAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.47042824000973704, 2.04362997378994, 9.093682854142912])", "action": "('move', [-0.47042824000973704, 2.04362997378994, 9.093682854142912])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.47042824000973704, 2.04362997378994, 9.093682854142912])", "action": "('move', [-0.47042824000973704, 2.04362997378994, 9.093682854142912])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1020e5939bf2c57c0dfd0cd09fde62f5cc7f177a9ef119b47634716d65936837"} +{"episode": 85691, "episode_seed": 782867892, "split": "train", "timestamp": "2025-09-16T00:21:17.928332", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 782867892, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.82578310629324, 2.7450538591334563, 29.379478851595007])", "action": "('move', [5.82578310629324, 2.7450538591334563, 29.379478851595007])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.82578310629324, 2.7450538591334563, 29.379478851595007])", "action": "('move', [5.82578310629324, 2.7450538591334563, 29.379478851595007])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.82578310629324, 2.7450538591334563, 29.379478851595007])", "action": "('move', [5.82578310629324, 2.7450538591334563, 29.379478851595007])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a66d57fc5a8c68bc7048973c27fa29ab15e5a5595ac0160eb0d8aeb246fc1cca"} +{"episode": 85692, "episode_seed": 2871372993, "split": "train", "timestamp": "2025-09-16T00:21:18.530741", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2871372993, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [128.44983618169297, -122.02326607050567, 53.789690447664384])", "action": "('move', [128.44983618169297, -122.02326607050567, 53.789690447664384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [128.44983618169297, -122.02326607050567, 53.789690447664384])", "action": "('move', [128.44983618169297, -122.02326607050567, 53.789690447664384])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+ElEQVR4nO3dW4gVdQDH8d/MOUdZ05UMFAy08MHo8pDlplQiEeIqoWsWm6llZRdoJQl7KXrpKXyxqyhUZlEZhYuRl00qTGnTB83LQ5JCqblhyuaSW+6ZmR5m3DWzvK17Lr/vBx90HWXY5Xv+l/nv2SBJEgHwEJb6BgD0HYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIva1GkKCr1TaCK5Et9AziLJMk6z/P1Qa8KkiQp9T2gR5p6GCoMJWnbNsWxxo7N/ghcIoIvF0miJOkJ+7PPtHatmps1eLC+/FLDhyuOyR6XiiljicWxgqDn15EjeucdrVmjnTvV0aEgUFubNm/W/fcrCEp9r6h8BF8aSaI4Vi6XDdonT+r77/Xmm1q7VkeOqHvWlY75LS1qaFChoCQhe1wSgu9rcawoUqGgXE6SfvpJmzZp2TJt2ZJdEIZZ8FddpRtv1Lx5mjGD2tE7WMP3ne7UJXV2qrVVLS16910dPixJ+bziWHEsSTfdpDvv1KxZuv32Ut4wqg/B94XuCbykQ4fU3KyWFq1fr5MnJalfv+w3Yahp0zRpkurrNXKkJEWRgoC9OvQagr9c0s/r6ZPwLVv03nvaskW7d2d/FYbZ8/bhwzV3rqZM0a23qqZGkk6eVC6XvUYAvYXge18cK0l6Wu3oUHOzli/X7t1qb5ekMMym7mGoujo1NWniRA0fnl3f1dWzmQf0LoLvNWccjztxQvv26YMPtGKF2trOvPjqqzVpkp56Srfc0tN2euSGnTlcPgTfC9LUg6Bn433rVn34oVavzi7I51UsStKgQRozRlOn6qGHNHToP/4HOkcfIPhLcvpunKRNm9TSos8/144d0qmhPk392mtVX6/Jk3XPPdnF3UdugD5D8BfjjA25Eye0apVWr1Zrq44ckaRCQVGULdQnTNCsWbrjDt1wg6Ts2VsuR+ooAYK/AGccd5f0449aulRr12rfPnV1SVIQZC8HAwZo9mzNmaPrr9eQIZIURdlmHqmjVDhpd17SYTmfz1o9dkytrVq6VBs36s8/pdNG+5oajRqluXM1Z46GDcs+mG7m8YwNJccIfw6nH48rFrVnjzZu1PLl2rtXUrYIT6fuI0eqrk7z5qm+vuef//tpPFBCBH9ejh3Txo1at06ffqqODkkqFFQsZj1PnKi77tKMGdkqnchRtgj+/8Sx9uzRxx/rq696vrmlUMiW64MG6YEHVF+vCROyVTpnZlDmCP7s0gfjXV1qatKyZdJpx+MkXXedHn9ckydr9Ogs764uhSGrdJQ7Nu3OLghULKpQ0NixWfBxrNpaTZigBQs0frwGDsyuLBYVhtkiHyhzjPD/KYqUy+nAATU26uhR3XuvHnlEo0b1XMDJGVQcgj+3HTs0YkS2Su/+bNE5KhHBn0P3KfdikTMzqHgEf25M3VE1CB4wwiNjwAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjCSL/UNoETiOPvJuCEv+kb4YZKAEV7dXe3apXnztH+/JEVRqe8GfYQpvaX2ds2cqb171d6ulSs1cKDimLm9A77Glmpr9eijyuXU3KwXXlAQSBKLOwME7ydJFIZatEhPPilJr76qJUsUhkzsHbBpZylJlCQ6flyNjdqwQf366aOP1NCQ7dujehG8qyhSLqeDBzV5svbs0dChWrNGt93GYr66EbyxtPnt2zV1qg4f1vjx+uILDRggiXG+WvFabiyXU7Gom2/Wa69p1Cg9/7xqapQkiuNS3xkuF0Z4e+m6/fhx1dae+UFUHUZ4e2nYtbXZwJ4k2rxZQcA4X5UIHpKkOFYQqK1NCxZo2jStWqUw5Ml89SF4nBIE6t9f33yjY8f0zDP67jvG+epD8JAkhaHiWFdeqbff1ogRamvT/Pk6cIADOVWG4HFK2vaYMVqyRFdcoV27NH++OjuVyzHOVw2Cx2lyOSWJGhr00kuStGGDmpqyHXvW81WB4PEvcayFC/X005L01lt68UV1dUl8d001IHj8UxBke3WLF2v6dEn64w+FIY/lqwMHb3A26Yn6vXu1fbumT1f//j0Te8qvZASP//DvttOz9zRfyZjS4z90vytGerp+/Xo1Nam9nYfzFY23uML/SrP/5Rc1Nur33/XXX3rjDRUKjPMVihEe55IkGjxYDz8sSStW6JVXlMtlH0elYQ2Pc0kH864uzZqlTz5RTY1WrtTMmbxVRiUieJyHtO2DB3XffWpt1ZAhWrdOdXVM7CsOweP8FIvK57VtmxoadOiQRo/W+vW65hrG+crClwrnJ59XsaixY7V8uQYM0A8/aNEi6dSPrEKFIHict3xeUaQpU/Tyyxo3TgsXKkmyDTxUCKb0uEDp8Ztff9WwYT1reBbzFYIRHhcoHdKHDVMUKQh04oR27uQ0TqUgeFy4JFEUKQzV1qbGRo0bp2+/zd5CA+WN4HHhumfvP/+srVvV2anZs7VvH82XP4LHRUm/i6auTu+/r0GDtH+/HntMv/3G3L7METwuVvqWWHffrcWLFQT6+ms9+6w6O2m+nBE8LkH6dndPPKHnnpOk3bt19Cjb9eWMx3K4NOkDuY4Ovf66HnxQI0Zw9q6cETxghFdi9JIo4oxt+WOEB4wwwgNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDI37/V+anrxnV4AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [128.44983618169297, -122.02326607050567, 53.789690447664384])", "action": "('move', [128.44983618169297, -122.02326607050567, 53.789690447664384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "13872b1a0fac6e38cf0df0d9d8db9de2c765a0c1987c235cc5c47cf1603bb9e5"} +{"episode": 85693, "episode_seed": 2853131861, "split": "train", "timestamp": "2025-09-16T00:21:19.448444", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2853131861, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.492308440657663, 12.178004321749198, 32.118431793411446])", "action": "('move', [-22.492308440657663, 12.178004321749198, 32.118431793411446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.492308440657663, 12.178004321749198, 32.118431793411446])", "action": "('move', [-22.492308440657663, 12.178004321749198, 32.118431793411446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.492308440657663, 12.178004321749198, 32.118431793411446])", "action": "('move', [-22.492308440657663, 12.178004321749198, 32.118431793411446])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKUklEQVR4nO3dy29UZQPH8d/MtBVKCQalXhprysXEIjSUS28YalHSFBK5/AUujIm6cenCP8HEhQs37kxctlEQTFXE4iC9mNJqEYxEQ6VisZRQy2VmznkX52SG9uV9VVSGmd/3k4aUp2cm08B3nuecMzMnEYahAHhIFvsBALh7CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wUlHsB1A6gkBhqERCSZ4lUaoI/o+EYfwnnaP08Z/4jyQS8aw+MaF33tHQkCQFQbEfFnAnmOGlMIy/Fi3XMxnNziqd1qef6uhRnT+vK1f08svaulXZrKqqiveIgTtkHHwYKggUBEomlUoVBhMJzc3p3Xd18KDSac3Pxz+qqNCjj8bfp1LxlkBJSYTRPqqVXE653IIpenJSZ89qzRrV1ysMdfWqGht14YIkPfKI1q3Tk0+qvV1PP62GhmI9auDvs5zhUymlUspkNDyskRGNjWl8XF9/rVdf1ZtvKpvVihV68UVNTam5WRs3atMmLVkS3zZaEQClqUxn+PwvdeuqO79cP3xYH3+s06d17px++aWwQU+PDh2Kb3v9upYuLfzo5k0lk/EXULLKLvhcTlJhnzwyM6P77lN1tRIJ/fqr9u1TOh3/qKZG27Zp5051dmr1aj38cOFWYahsNo6c3XWUhdJf0kdPWPkgo9RzOc3MaGpKx4/r2DF98IFef11vvKEgUG2tWlt18aJ6etTVpe3btXLlbebt6G4rK+/a7wHcBSU7w4ehcjkFgSorC7Vnszp1ShMTOnlSAwMaGytsv3ev3n8/3hWfm1NNzW3uUGImR3krwRk+OpdWUaGKCknK5TQ/r5oaJRK6fl2vvKKTJwsbb9igpiY1Nqq9vTBd19QUTrznCyd1GCjB4KOd6kuXNDCgwUENDmrPHr32moJAS5eqqUnj49q9W1u3auNGrVmjtWsX38Oi1AEbJbik7+vTW2/pp580NaUbNyRp50719sar9OlpXb6surrCoj0MlcnEp+IAbyU1w0fnwH/4QceOSVJ1tVavVlub9u9XVZUSCYWhamtVWxtvHG2fSPAyWCBSUsFHi5Ht29Xdrc5OdXaqpWXBBlHz+VfFc84cWKgEl/S3+u9jbwD+t5Ka4SPR62HyczipA39aic/wAP4K9nIBIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgpAQ/8aaMRNfF4mN7cNfwiTfFFwTKZpVKUT7+dQRfNGGosTFdu6bW1ngk/8nafNwu/iUEXwTRB+1evaoDBzQ+rpYWbd6sri51dCzYJsKcj38QwRdBFPyZM3rqKWWz8eCqVXr8cbW16fnntWNHfOG8/PZ8GDf+EQRfNO+9pxdeKASft2SJHnxQzz2n/fvV3q7lywtXwczlFIas+XHnCL5oZmbU368PP9ToqCYndeVKPJ5MKgji71esUHe39uxRc7Mee0zLl8fjmQwX18GdIPjim5/XZ5/p6FGNjurUKf32WzxeVaVsNo5/2TJ1dWnHDm3apKYmPfBAvE0mw/U48BcQfDHlL3Uf+f13jYxoZEQnTujzzzU9HY9XVSmTiQ/jVVdryxY1N6ujQ888Uyg/COLmKR//B8EXXxgql1MQFC5ye+2azp3T+Lj6+3XokC5ejMdTqfi1OpKWLVNDgxob1d2tnh499NCC+4z6J34sQvD3kKh8qTDnZzKandXYmPr6dPCgLlzQzZuLb1VZqfvvV1OT9u5VT4/q6hZcHTubjRf8xA8R/L0pOg8nLTgml8tpeFh9ffrkE50/X5j2b5VMassW7dunZ59Vfb1qa+PxIFAux94+CP6eF/37LKp0dFRHjiid1nff6fvv48FUSolE4Txfc7N27VJrq9av19q18WC07xC9jBeGCL6UhGF80D6VikcmJvTVVxoa0pdfanw8HozO22cy8V/Xr9e2bWppUXu7NmyIB6P7YanvhuBLUn6Jni//xx915ozSaR0+rKGheDCVKjxHSGpo0BNPqL1du3dr8+YiPGwUHcGXsCjmRUv0mRlNTqq/X729GhwszPO3WrlSdXXatUsHDqi5WVVVzPMuCL4cRAf5wrAw4UsKAv38sz76SL29+uYbXbqkGzcW3zCZ1KpVGhjQunXxy/VR3gi+3Nz2IN/0tI4cUX+/vv1WZ89qbi7eJpVSfb2++EJ1dfE7c1HeCL7MBcGCmX9mRseP68QJDQ9reFizs3rpJb39dnyEH2WP4C1EL+kJw8Ib7y5f1unTSqfV0aG2NqZ3FwTvJTrId2v5sELwpqLso/fYwgfBA0Z4egeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8B2f6UFzP6/60AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5cd1055b768340f3840d87ae084a0313879e1b548219f0632b75bbe79a8e4119"} +{"episode": 85694, "episode_seed": 1506472971, "split": "train", "timestamp": "2025-09-16T00:21:20.048186", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1506472971, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [47.961973520070536, 57.58367963821737, -58.67114720620943])", "action": "('move', [47.961973520070536, 57.58367963821737, -58.67114720620943])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjElEQVR4nO3dv3IbVR/H4Z8cSQHs/LETEuIwEygZZpjcAgUwNDTkPmgpGa6BC6BnuAXuAQpqhiQExrGBTIwdOZIodmXz9lJ23/0+TyVvk9N8cs7uOSuNlstlARm2uh4A8OoIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoKMux5An8xmVVXjcW35f5BhGi2Xy67HALwiprKV4+N68KA++6x++KGq6uXLrgcE62dJX7Vc1mhUz5/X999XVX3+edcDgk0xw688f95+2N7udBywQWb4lem0Pvqotrbq7t2qqtGo6wHB+nloB0Es6VeWy5rPa7HoehywQWZ4COIefvWU/uef67vv6q236sGDunGjvQjDIvhV8D/+WF99Vfv79eGHgmeo3MOvvHhRo1Ht7NTrr3c9FNgUwa+cnNRyWZcu1eXLXQ8FNkXwKycnVVXjcb32WpV9eIZJ8FXNPkUT/GRihmfABL9yelqjUY3HNZ2WrUoGSvArx8e1tVXTaY1Gjt8wVIJfmc9rPm9v3e3JMVBO2q3yfviwHj6s3d167z3BM1SChyCW9BDE0drVkv6nn+roqO7dq3fftaRnqMzwVfN5VdUXX9Qnn9Q331xcgcER/Mqff9ZsVmdnVWUfnqES/OoUbbMnt7NzcQUGJz7489v1+byWy/YgPQxUfPBVNRrVbNZ+Eb13Yxk0wVeNRvXiRfugzgzPoMUHf/6q3H9nePfwDFR88I3T0zo9rSrvxjJs8Qdvmsn8ypX68st6+rQ++ODiIgyOs/QQxJJ+Zbl03obB6+OS/ry7V7qytownQB+Dlx5sSI+CXyxqa6t+/bW+/rrG47p3rz79tO7f73pYMCA9Cr5xcFDfftuegrl6te7f964qrE2PHto1t+7//FPzeU0mNRrVO+90PCQYmB4F30zjR0ft5+Wy7t7tdkQwNL0L/rffqlaz/Z07XY4Hhqd3wT95UlU1n9fennOusGY9Cr6qXr5sZ/jFot5+uyaTKrt0sD59Cb5Zw89m7QxfVfv7Ne7dHgL8f+tL8I2zs3r8uP0seFi73gX/5Em7ht/fr0uXuh4QDEu/gn/xog4O2ol9f7/K98fCWvUr+MPDi3N1NuFh7foV/MOHVavH8rduVZnhYa36Evx/T92cndV0Wtvb3Y4IBqgvwTcePaqqWizq1q16442uRwOD08fgqy6Cd+oG1qhfwZ9vwt++bYaH9etX8OczvOBhE3oU/GJxcerm1q2aTDyihzXrRfBN2IeHdXJSW1tVVbdvV1UtFu7hYZ16EXzj0aNaLNr4b96sqlosuh0RDE0vgm8if/y45vM28uvXqzyih3XrRfCNJviqunatdne7Hg0MUS+CP5/hmw97e3XtWpUZHtatF8E3mnO1VbW72y7pgfXqRfDnM3zj+vU2+K1ejA6Go0dJnX+51d5eXbliEx7Wr/vgl8u6dKlmszo5aa/s7dVoVPO5e3hYs+6Dr6rRqH7/vU5P2z9v3KiyCQ8b0H3wTdh//HExw7/5ZofDgSHrPvjmXv18hp9O2++68cQO1q4vVZ0Hv7NjhodN6T748xn+7Kyqanu7neE9sYO161HwjZ0dwcOmdB98E/bBQfvn9nbdvHnxZdXAGnUcfLMJv1zWs2ftle3tmk5twsNGdB/81lY9e1Z//91ead6Ed8wONqH7JX1VHRxcBN/8whSwCd3P8FV1dNQu6UejNnjrediEXgR/eNjO8JOJ4GGDerGkPzys4+Oqqum07typEjxsRsfBNwfpmx+NrarxWPCwQR0H34R9eNj+OZ36lWjYoC6DXy5rPK6qevq0vXL5cu3uOnUDmzLu9p8fjWo2q6Oj//n9CcHDhnQZfBP2X3/VL7+0N/M24WGjugy+mcYnk/r447p6tR4/rvffv7gOrN1o2YNTrC9f1mxWs1lNJrW93fVoYLh6ETzwavTi4E1VLZdemIGN6/gp/Tn37fAK9GWGB14BwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQfwHnLZqesd9SSQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [47.961973520070536, 57.58367963821737, -58.67114720620943])", "action": "('move', [47.961973520070536, 57.58367963821737, -58.67114720620943])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [47.961973520070536, 57.58367963821737, -58.67114720620943])", "action": "('move', [47.961973520070536, 57.58367963821737, -58.67114720620943])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1a23bbe4399734ab6ec2d7b711438aae63af3ef016af1ea58365193be97d71be"} +{"episode": 85695, "episode_seed": 1569432114, "split": "train", "timestamp": "2025-09-16T00:21:20.658194", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1569432114, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-40.906684835255504, -91.03916503969937, -19.28265794497132])", "action": "('move', [-40.906684835255504, -91.03916503969937, -19.28265794497132])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJUklEQVR4nO3dz49dZQHG8efeO1NMjWyEUBEkppgiFoVUEX81RokYlTTBNRujC/8LY+LCvXFjIluXrFRsWkQTRVQk/iDQYCsCqSaIBls0nZl7XNxrKaGUmWo7PfN8PplFe3syeXMz3znvec97bifDMAToMN3uAQCXj+ChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyMp2DwBGbBiWf5hMtnUcmyZ4uHhnO5/PMwyZTJZfVyzBw0U6dSrHj+ftb8811+Sqq5YvDkPW1jKdZjq9EssXPGzZxkZmszz6aD772VxzTe6+Ox//ePbvz0035cYbs7q6PGxtLZPJMv4rxGQ4exUCbM7aWlZX8/Wv5xvfyNra8kp+MsmBAzlwILffnve/P7ffnt27l8dvbCS5Is75goetGYZsbGRlJffckx/9aPni6mrW119dw3vHO3Lzzdm3L3fdlYMH8573nOebZDuW+gQPF+mPf8zPf57Dh3P0aJ5//vzH7NqVa6/N9dfnYx/L3Xfn4MG87W2vOWAYMp8vZ/6XgeDhfzKf59//zrFjOXw4hw/nt7/NP/+ZV145z5ErK9m9O3femc98Jp/6VG66KVdfnV27LutoBQ8X6bzT8lOn8sgjOXIkjz+e557Lc89lbW35T7PZ8u7dwg035NOfzsGDue223HBDrrvucpzkBQ//B4uMhuE10T79dH7xi/z61/nDH/L73+evf12+PptlNsuZM8u/rq7mjjvyzW/mk59crv9fOoKH/6dhWK7qTaevpvvyy3nqqTz1VB5/PD/7WX75y1eP37Urs1n+9a98+9v56leX6/+XjuDhkjhbfvKahv/yl5w8mSeeyJEjOXo0J09mOs18nu98J1/+8iUP3sYbuCQWe2wXM/zFpfswZGUle/Zkz57ccUfuvz+nT+fYsfzkJ/nud1+9aX9pR+UMD5fN2Uv97dpyL3jYNpf/YTtTetg2l/8kf8Vs6gcuPcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcEzNsOQ+Xy7BzFWgmdUhiFJpn5uL5I3jlGZTJLkiSe2eRijJXhGYmMjSR55JO99b+67L888k8TcfqsEz0gszu179uT553PiRL7//eS/vwXYNMEzEtNp5vPs25cPfSiTSY4ezTAsfwuwaYJnVIYhn/98hiFPPplnn83KipP8lgie8ZhOM5nk0KFMp3nmmTz0UOIyfmtWtnsAsEV79+bAgbz0Uq67LnGLbmsmw+LGJozFMOTvf8/u3bnqqiQu47dE8IzW+npWTFG3RvCM0Nn1+cWK3Wy2vcMZEdc/jM2i9iefzJe+lK98Jf/4x/JFNkHwjM1iWf7ZZ/PAA3nggfzpT4ngN0vwjM1iMv++9+WDH8x0miNHMgzW6jfJ28TYTCYZhrzrXfnwhzOf58EH7b3ZPMEzNpNJ1teT5M47s7KSxx7LiRPbPabREDwjtJjAf+Qjefe7s7GxfJDGZfwmCJ4Rms2yvp69e3PbbZlO8+CDieA3RfCM1nSagwczn+dXv8qJE5lONf+mbFRinBaz+nvuySc+kf377b3ZJDvtGLNzH4n3ePwmmNIzZpNJ5vOsral9kwTPyE2nWV1dPkIXS3dvQvCM37e+lZtvzte+liTzueYvQPCM39/+lhMn8vDD+fOfM5sJ/gIEz5gt2j50KCsrefrp5efV22n7xgTP+O3dm/37c+ZMHnssw+AW3QUInjFbrMy/9a35wheS5Mc/zosvLj/QmvMRPCM3ny+33CUepHlTgmdHuOWWfOADGYY8/LDH4y/A+8LILfbevPOdueuurK/nyJGcObPdY7py2UvPyE0m2djIykruuy/zeT73OR9lewH20rPj2Gb7xkzp2SmGYflJOGp/Y4Jnp5hMMpnklVdy7Fheemm7R3OFEjw7wuLK9PTpfPGL2bcv3/tehsGWu9cTPDvFxkauvjqnTmUyyQ9+YGJ/XoJnR1h8dnWy/N/jf/e7nDxpy93rCZ6dYrGF/t5785a35IUX8sMfLu/YcQ7Bs1MsTvK33ppbb836en760+0e0JVI8Owsk0kOHUqS3/wmL7yQ1VWz+nMJnh3n3nszm+X48Tz6aBLBn0vw7CCLlflbbsmNN+bll3P8eBIP0pzL1lp2nI2NPPRQTp/ORz+a6693f+5cgociZjvsRIttdk5mr+MMD0Wc4aGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIfwAsNP9i/wudtgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-40.906684835255504, -91.03916503969937, -19.28265794497132])", "action": "('move', [-40.906684835255504, -91.03916503969937, -19.28265794497132])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-40.906684835255504, -91.03916503969937, -19.28265794497132])", "action": "('move', [-40.906684835255504, -91.03916503969937, -19.28265794497132])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bcae3eecb5faca93015e92fcc59fd43f97ffdc441828378fe2ce866c4f607005"} +{"episode": 85696, "episode_seed": 2099895336, "split": "train", "timestamp": "2025-09-16T00:21:21.254178", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2099895336, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.032712609916048, 10.640996850205928, 49.29503198928463])", "action": "('move', [11.032712609916048, 10.640996850205928, 49.29503198928463])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.032712609916048, 10.640996850205928, 49.29503198928463])", "action": "('move', [11.032712609916048, 10.640996850205928, 49.29503198928463])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.032712609916048, 10.640996850205928, 49.29503198928463])", "action": "('move', [11.032712609916048, 10.640996850205928, 49.29503198928463])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvklEQVR4nO3cz6tc9RnH8eecub/ij0pKRdA/QCiI0Na6TFLFCHFlNbZJmqqVNFS0IApGmtLizoWo1KSmWF0Fb2LwZxsVWgRX7UYaNxLJQsRV0kYENbkzc04XE7OuSe6dm35er+3dnMW87/Od55wzTd/3BWRop30BwMoRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQR/LLr+2lfAXxN8MtL7awqgl8ufV99X01To9G0LwW+JvhlMUm9aerJJ+vGG+vYsaqqrpv2ZRGv6R06l8fSUt1/f734Yo1GdevG/tChZs0lVVVNM+0rI5gJf+FN/oWePFnvvVejUc3O1VtvN4891jeNIc+UCf7Ca5rq+7rqqjpwoL/66n40qsGgnn6mnvtjNxjUeDzt6yOYI/1yGY9rMKjFl+reX9TSUvV9LcyP33i92XBTO/kTrDwTfrm0bQ2Hdced9esHu9Gor6a++HLwy53Nhx/2g4HVPdNhwi+jyZ258bh+unl06NXB/Hxz+nTddlvt31+XXVZlgceKM+GX0eTO3Oxs7Xt+5vrr+tOna2623nyz373bAo/pMOGX3eSe/JEjdfPNdfx4tW11Xb93b7NzZ3Vdtf7lsoIEvxImzS++1G/bVn01VbWwUG+8URs2nPkTrAzzZSVMHrC96yfNo7vO3Jb74ovasaOOHaumcaOOlWPCr5DJN/a+r61ba3GxFhbq1Km6dWP3yqvtwoI5zwox4VfI5Lv6YFBPPVU3/KBOnar5+Xrr7XrkoXHX1XjsvTpWggm/oiaP3PzzH/2mTfXv/zTVVN/1f3imv/+BdjSqmZlpXx//7wS/0iab+cX9/ZatfTvTdl1d8a165dVat87BnmXnSL/S2rbG47prS7N7dz8a9U1TJz+re+/pP/nkzEP4sHxM+CmYPIHX97V9e79/fzM3V0tL/U3ru8PvDGZnzXmWkQk/BZOeB4N64onmhzf0S0s1O9f87d32wQcs8Fhegp+Otq3RqK65pp5+qv/Ot7vhsNq22fenwZ49NTNTo5HmWRaO9NM02cwfXBxv/Vlb1XRdrV1bBw/W+vWeumVZ+ExN08xMjcd1512DXbua4bCapk6cqPvu6z7+uNrWkOfCM+Gn7OwrtFu21Msv1+xsDYf9j9Z3b/61XbOmscDjwjLhp+zsK7R79tT11/fDYc3ONn9/d/DIw1V+1p4LTfDTN3l/5sor64U/92vXjofDGgzq2T3N3j1ndntwoTjSrwqTg33b1qGX+5/fXUtLTdfVpZd2r7/WrFvfeOqWC8WEXxUmB/vRqH58R/PQQzVZ4H3+eXPv3d1HR/vJbg/Onwm/ivR9dV2dPl3btnSvvNbOztZwWLfc0i8uNldcceYIAOfDJ2gVaZpq27rkknr+hfa6746Hw5qbq3feaR5/3K6eC8OEX3Umj9wcOVLr13UnP2vbtrqunnuuduwoP2jPeRL8ajS5/X7oUG3fXsNhjcc1P1+HD9e6dZ7A47z47KxS43Hdfns9/PCZBd5XX9U999RHR/vJ27Vwbkz4VWry+N3SUm3fXocOTZ7Aq1s31kuLdfnlVWXOcy58alapswu8ffvq+9/rhsN+fqHeerv//e/6tvVTGZwjE35Vm2zp3n+/Nm6s48drMFPj0Xjvs83OX/kNPM6F4Fe7yQLvwIF+29bqqxmPa81895fDzfr1Xq3hG3OkX+0mp/fNm5tdj/ajUdcO6stT7X33Nf/6l9r5xgR/EZi8XfOb37ab7+jHo76qjh2rTz+t8jod35Aj/cVhcno/caI2beqPHm0OHqwNG2qyvYP/neAvGpMF3gcf1NxcXXvttK+Gi5PgLyZnt3TWdZwbN3YuJmdvv6udcyP4i4zUOR+29BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkv86kNcemmYMNAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6f0fc994ee8eb121ce8b3a47c900ad8c0afa7fc4e8c320fb7acf8c1ed9387bd0"} +{"episode": 85697, "episode_seed": 4174768434, "split": "train", "timestamp": "2025-09-16T00:21:22.168927", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4174768434, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.325702819788233, -48.86369831338093, 48.4997491097821])", "action": "('move', [-22.325702819788233, -48.86369831338093, 48.4997491097821])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.325702819788233, -48.86369831338093, 48.4997491097821])", "action": "('move', [-22.325702819788233, -48.86369831338093, 48.4997491097821])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.325702819788233, -48.86369831338093, 48.4997491097821])", "action": "('move', [-22.325702819788233, -48.86369831338093, 48.4997491097821])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKw0lEQVR4nO3dS2xU1QPH8d+9MwWBUCNoUrFvUmKFKuXREIVEsMQNC/GJiRs2RsPKmPhambgxceMjMVEUExdAYnQvSixihUiERmxLTKUiidFSY2ppmnEe97+4R1uQf/JfMJ3/3N/3syqz6UnKd+bMueeeGyVJIgAe4loPAMDCIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj+VoPADWTJKpUVC4rl1MuV+vRYEFESZLUegyovSRRFNV6EKg+PuF9TU3pzBkdO6auLj3+eK1HgwXBJ7yd9MN8dlbPPKOPP9bkpHp69O23amio9chQfSza2Umn7osXq7FRk5NavFijo5qYqPWwsCAI3lG5rDjWjh3K5VSpqFTSwIAkMdvLPIL31d6ulhYVi5L06acSwRsgeEdxrCRRe7s2bQqvDA6qVGKhPvsI3lEUqVzWDTdo/frwz0uXNDSkKFKlUuOxoaoI3tr69Vq+XEmimRkdPSqJ4DOO4E3FsST19mr1akmqVPTVV7UdERYCwZuKIpVKWrVKa9aEV378URMTyudZussygjcVRSHszZvDRvqff9bJk5JULtdyYKgqgveVzuq3bdNNN0nSzIxOnZL4Gp9pBO8r3XWzcaNuuUWSokjffadCQQ0NzOozi+CtJYnyefX1hZ/PntXYGBfnsozgraU7bfr7lcspijQ+rpERiS132UXw1tKv8ffdp0WLQvxDQ3OvI3v4w0K33qo77gjT+JMn9ccfimNm9dlE8FCS6P77JSmONTioX36p9YBQNQTvLj0PY+dOScrnVSjo++8lcSNNNhE8JGntWq1YoVJJkgYGVKkQfDYRPCTpxhu1fXvo/MgRzc7WekCoDoJ3l+6xXbRI994rSfm8zp/XTz9JXJzLIoJHWJDv7Q1bbqIo3CqL7CF4hK/rbW3q6VG5rCQJJ14hewgeYVa/apW2bFEUKYr0zTeanWXdLoMIHuHEqzjWhg3he/v0tL78UuLOucwheMxZt04rVypJVCjo6NHw8DlkCcFD+nvzfE+P1q4Nr5w4Eab3rNVnCcFDkuJYxaIaG9XdHV65cEFjY8rlCD5TCB5X6OsLD5mbmNDx40oSTrzKFIJHkJ5st22bmpokqVDQqVMs1GcNwSNIb4nt6lJLS3hlZETT05xjmykEjzmVipJEW7aEf46O6uxZTrzKFILHnDgOt8ouWqQ41sSEhoclrsZnCMFjzj8HVy9fHiI/fVqVCufYZgfB4wpJomXLwjm2kk6cCAfgEHw2EDyuYedORZFyOY2M6OLFWo8G1w/B4xr6+5UkyuVULOrMGYkTr7KC4HGFNOyODnV2qliUpC++UKHAHtuMIHhcw5Il6u+XpCjSsWP6889aDwjXCcHjaulkfvt2JYkaGnTpkkZHaz0mXCcEj6ulU/eeHi1dGs6x/eyzcJo16h3B49qamrR5c7gaf+QItWcEwdePhVo0i2MliVas0N13K4qUz2tkRL/+upBDQLUQfP1IF8oXZJtruawoUm+vkkSlki5f1uefSwRf//K1HgD+N+mN6fm8okjFonK5qj7hNZ3Ad3ert1fT09qwQc3N1fttWDhRwpt2vXjpJS1Zosce05o1klQshqMqqqZQ0NiYOjq0dGlVfw8WDsH/30vXxwcHtXWrJHV3a88ePfGEOjsXbAjpmbas22UAwdeJCxf02ms6cCA89u322/XII3r+eS1bNvfFugpFpg+iIfXMIPj6UaloeFhvvaVDh3T5stat09BQyDEtMkmUJFX9bo96R/B1Yv7Gl5ERvfqqdu3So4+qUlEca2BAra1hkl8qhTvdgH8h+PqR/qXmT6/TCffYmPr6lM/ruee0a1c4aPqvv5TP82mPq/Afon7Mn7qnp8+lwZ87p4YGTU6G4F9+WaOj4ZAq3s1xJT7h61+ppNOndfiw3n8/3NfW1aXdu/X002pvZxM85iP4DBke1v79OnBA09OStGGDPvpInZ3he7409wNc8eevf/88HWbtWr3+uk6f1lNPaeVKtbaqtVWlkuJYhYL099HzPErGGJ/wWXHVkt65c8rl1NUVPtX37dPNN2vPHpb0zBF85swvP6396691zz2S1NysvXv10EO66y5JKpWU52YKLwSfUekCfuqHH/TBB3rvPf3+uyR1dOjBB/Xkk2FPPpwQvI3hYX34od55R1NTktTWpgce0AsvqKkpvDuwS88AwRuYvzh//rzefFMHD+rSJbW16fhxNTerUgk789Jr++zSyy6C93DVNvvxcb3yirq69OKL4Zv80JByOfX0SFKxqDgm+0wieDP/3p8raWpKmzZpclL79mn3bm3cKEnFYjhvAxlC8JbSS/fpPe5RpJER7dih336TpOZmPfyw9u7VnXfWepS4/ggeUqGg8+d16JDefjus5Le0aNcuPfusVq9mf16WEDzmGR/Xu+9q//6Q/W236fBhbd3KFfvMIHhIunIl/+JFvfGGDh5Ud7c++USNjVyxywyCxzzzb60bHtbMjPr6VC6zYp8ZBI9/4Wp8dhE8/ov0iRfM5LOF4AEjvH8DRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wEtYKcZvZeX6wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d679e7dfe9792e7a03aa9feaa21e357b3aa5f59a70bd1a86ac9db4836f3f4acf"} +{"episode": 85698, "episode_seed": 3818026551, "split": "train", "timestamp": "2025-09-16T00:21:22.770482", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3818026551, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.852712182742593, 6.917246280239758, -51.40045913529135])", "action": "('move', [-5.852712182742593, 6.917246280239758, -51.40045913529135])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.852712182742593, 6.917246280239758, -51.40045913529135])", "action": "('move', [-5.852712182742593, 6.917246280239758, -51.40045913529135])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.852712182742593, 6.917246280239758, -51.40045913529135])", "action": "('move', [-5.852712182742593, 6.917246280239758, -51.40045913529135])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "036acb8f83686a97ea217e21b65b514cf238ef50b35c06e1fd3e44ffc47708e6"} +{"episode": 85699, "episode_seed": 3676319441, "split": "train", "timestamp": "2025-09-16T00:21:23.371477", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 898, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3676319441, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.5545060732244397, -2.8629765013194373, -20.56771570106984])", "action": "('move', [-0.5545060732244397, -2.8629765013194373, -20.56771570106984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.5545060732244397, -2.8629765013194373, -20.56771570106984])", "action": "('move', [-0.5545060732244397, -2.8629765013194373, -20.56771570106984])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK40lEQVR4nO3dX4hV1QLH8d/e5xwdZ0Qa+gOSJmQmpoFSD0qWZAQyqD0oDIY4Q/aPXvpDEUgPPQW99NBDqFBUqC9B/kkz0cZCpQwER6wJSkmKonEGaippnHP2ug973dHbTW/ecvac/ft+EBnOnIf1MN9Za6+915kkhCAAHtKiBwBg7BA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wUi16AGMtyxSCkkQpv+vgxyv4EOgc1lx+/EOI/7/4olau1OHDRQ8IKEIS8hTKLsuUpjpzRnfcocFBtbaqq0uvvVb0sICx5TLDJ4lCUE+PBgc1caLOndOiRUWPCRhzRsFnmTZulKTz53XjjVq2TPr3Uh8w4RK8pGPH9NlnqlYVgrq71d4et+sBHxbBZ5kkbd4c5/m2Ni1bpmo1vg74KP9tuXwaHxjQ7t0KQSHo3nu1YAG36OCo/D/yjYaSRFu26OxZpakqFXV0qK1N9Trredgpf/BJouFhbd+uLFOWadYsdXRIUqVS9MiAMVfy4Ot1VSo6dEjHj8dXlizRjBmq11nPw1GZf+pHN+F37NDQkCRNmaLOTjbn4avMwWeZKhWdOqWenlj4nDm65574OmCozMHnPvpIfX1xAb9unSoVpnf4Km3wIahS0W+/6d13JSnLdN11WrNGEsHDV5mDl3TypHp64gJ+1Sq1t0sED2OlDT5NFYJ27NDvv8ev16+PD94Atsp5PDbfh//pJ82erYEBhaDFi/XBB2ptZYse1ko7w4egPXvU369KJZ6WmTSJ2uGutMEniTZtkqR6XdOmacmSeCQecFbC4PMzcMeP6+jRePW+apVmzIgfegM4K2EBWRan95ERSZo8Wfffz2FYQCrf8dj8Kbr+fh08GPfk77xTS5fG2/KAubLN8Plh2B079PXXkpSmWrZMkyZxGBaQShZ8Po2fP6/33lOjIUnTpmn1aqZ3ICpV8I2G0lRHj+qTT+J8vmiRZs5kuw6IStVBXvX+/RoclKRqVY88wr134ILyBJ9P499/r+3b4y33OXO0ZIkkpncgKlUKIejTT3XypKpVSXroofgFgFx5gk9TjYzo7bclKcvU2qrOzqLHBIwzJQk+f2b29Gnt2aNKRVmmtWt1ww0Sh2GBi5Qk+Lzqbdvi/fYQ1NkZywcwqiTBSxoe1ptvSlK9roULNX++xPQO/KcyBJ9P4zt36ttv4wM2nZ1qb49P3QEYVYbg82fmX39dkrJM06frvvtIHfgTTR98/nRdb6+OHZOkELR0qW6/nafrgD/R9E3kh2G3bdPgoJJEra3xL0mxngf+W3MHn2WqVtXfr54eSQpBs2eroyO+DuAPmjv4fBo/cEAnTsT5fPlyTZ4cp30Af9DE82AIqtXUaOj99+OH27S3q6uLw7DAJTXxDD/62XX79ilNlSS6+27NnMnxOOCSmjj4/Im6gwc1MBA/i/qJJyTOxgGX1qx/iGL0T00sXqwvvpCkW27RiRNqaSl6ZMA41tyz4eHD+vzzONU/+qgmTix6QMD41qzBj16lz5unWk0tLVqxQknCaRngcpp1SS9d2JzbtUvffafubv50HPA/NHHwAK5Usy7pL5Zl8UOpAVweMzxgpAwzPIC/iOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwbBNxpqNIoeBDAuVIsewNWUZWo0VKtJUghKkqIHBBSspDN8CBoZUZqqVtOXX+roUYVQ9JiA4pU0+CRRraYff9Qrr+iBB7Rypfr6JCnLih4ZUKQSLenzRXv+/6+/auNGbdmi3t743a++0ty5rOphrhTBh6AQlKbKMiWJfvlFXV3avl2SJkzQ6tV67jndequyTGlJVzTAX9PkAeTX6kmiNI1fNBqaPFnz5umaa7RypQ4d0tatmj9fra3UDiSheXez6nVVKkoS/fyzdu/Wxx/r1VfV0iJJP/ygM2e0cGF8J1v0gKRmXdLna/hqVVmmbdu0dav27pWk227TU08pBE2dqqlT4wo//wegKYPPp+sk0TvvaNMmffhhfH35ci1YIClu3eVX9QAu0iRL+tGA89Hu36+XX9aRIxoelqS77tKGDVq8WFOmFDtMYJxrhuDrdVWrkmLt587pwQe1a5eSRAsWaMMGrVihCRMksQ8PXN74XtI3GvFavV7X6dOaNUuNhtratHat+vu1fr0efji+M/9dQO3AZY3XGT4ENRpxYj9wQFu26PBh7d2rWbMUgoaH4258Pnj25IC/ZrxOiUmialVHjmjdOq1apbfe0qlT2rkzfqulJR6MYQceuBLjb0mfX4f39emll7Rvn86elaSbb9bzz6ujI74n36hnAQ9cofERfH5ePU2VJBoZ0QsvaPNmDQ1J0k036ckn1dWla6+98H5mdeD/UnTwFx9Zz4+y1WoaGtLQkGbO1Jo1euYZtbfHN/PAHPD3FBp8fms9TdXbq95edXaqVlOa6vHHdf31euwxTZ8e35Z3Tu3A31P0Lv3p03rjDW3dqm++0Z49F67Sc6NPywP4JxQ6w9frWr48fjRFW5sGBuLr+Tq/Uom35QD8Qwqd4c+f18SJamvTunV6+mnNmKFajfkcuHqKvobv7tazz2ru3CKHAdgo+hp+FDvwwNVX9LMr+dPyYgceGAvjZoYHcPUVPcMDGEMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5F8vspRUydtaWAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.5545060732244397, -2.8629765013194373, -20.56771570106984])", "action": "('move', [-0.5545060732244397, -2.8629765013194373, -20.56771570106984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "77688bfaa22f0946153de11ca4d3b13a4e83aa19f862e883662b885f19ba9ab5"}