diff --git "a/train/batch_000333.jsonl" "b/train/batch_000333.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000333.jsonl" @@ -0,0 +1,100 @@ +{"episode": 33300, "episode_seed": 872631779, "split": "train", "timestamp": "2025-09-15T23:18:15.490405", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 872631779, "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', [30.695627563160528, 29.32073882681685, -3.143425041774132])", "action": "('move', [30.695627563160528, 29.32073882681685, -3.143425041774132])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIMElEQVR4nO3Zz4uV9QLH8c8ZnXFGRy0kwiAlQyVDQ8wI2tSiTQt3rYTWbtq37w+IlkGLVhdqIa1qExRBoBESReHCH0WQECSm41DjeM5dzLlj6r1d7zU6zXxeLx4O58fznPMMw/v5fp/nGYxGowAdpia9A8BfR/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBrx2g06T1gzds46R3gno1GWV7OYJCpqQwGGQwmvUOsPYORcWMtunkzN29mamq8wL0R/Brx5Zd5553s25f9+7N3b3btmvQOsSaZ0v/tjUYZDHLyZN58M0keeCCPPprdu7NvXw4fzlNPZf/+zMyMV7tjwxUm//yL4NeIvXvzwgs5cyZXruTKlXz9dZJMTWX37rz3Xp5+OkmWlvLrr9m2bbyJzrmLKf0asXLFbnExZ8/m1KmcPp0zZ3LpUh57LCdPZs+eJPnkkxw7lsOHc/Ronnkmhw9nx45s2ZJNm277nps3k7jy10nwa9k33+Tq1Rw5kpmZJHnrrZw4cdsKTzyRI0dy+HCOH8/DD9+5+WiUGzfGl/1X+me9E/xas/L/WjljvyPRb7/NBx/k4sWcO5fz53P+/K2PvvgiR44kyaVL+eij7NiR/fvz+OO3bT4cuuC/7jmHX2tWIl95HA6T3Kr0wIEcOJAkCwu5eDEXL+bChXz1VX76KXv3jtf59NO88kpmZ7NvX3bvzp49OXQoBw/m0KE7Z/53/yhrnxF+HRkOx+fn09O33lxayvXr2b49w2E2bsw//pETJ3Lt2m0bPvRQdu7M66/n2DHj/Pom+PVoNMpwOJ72b9hw20c3bmRhId9/n9On8/nnOXUqP/ww7v/jj/P880ly+XJefjl79+a553L0aHbuzNxcpqeN8+uA4Ne7lf/vH7T644/57LNcuJBXX83cXAaDfPhhXnrp1gq7duXZZ/PGG3nkkX9zt581RfB9/uD8fKXnM2fy9tu5cCEXL+a777K0lCS//JJt2wS/1gm+3mg0Xu6Y/C8t5fz5nDuXs2dz82Zee21C+8efSfDcZTjM8vL43v4qY/u6IHj+g9Urf0k2bFD7+iB47oHhfb1wx5V7oPb1QvBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZMLBj0aT/X3osnGyPz8Y3PnOaDQ+Cvz+WHDHandvdfc7wN0Go4kOsr/9lqmpbNiQqfuYagyH48PE3ceIwSBTUw4HMDbJ4JeXc/x4ZmaybVu2bMn8fLZuzebN2bo18/OZm8umTZmZyfT0eFl9/vsnGzZMavdh7Zlk8EtL2bTpv682M5PNmzM3l82bs2VL5ubGj5s337nMzWV2dnykmJ3Npk3Zvj0HD2Z+PqORcR4mHfzcXIbD8cupqfH0e7XM0SjD4XjG/r+ans7GjdmzJ+++myefzHB4X2cNsD5M8qLd1FRefDE//5zFxVy/nmvXsrCQpaX/89tWjhSrZ/I3buTGjVy5kunpP3GXYW2bZPAbN+b998dj+OqyvJzFxXH8V69mYSHXro1frj65ejXXr9/6dHExy8u3fclK88vLmZ/P/PwE/0T4e5nwbbnZ2T/ne5aWxvEvLIyXxcVcvpzZ2Tz4YOK+HSSZ+G25VfezF2KGezThEX7V/Ue7esj4/ZOV+/DAir/LCA/8BQx/UETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUOSfb8OxmkExpycAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [30.695627563160528, 29.32073882681685, -3.143425041774132])", "action": "('move', [30.695627563160528, 29.32073882681685, -3.143425041774132])", "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', [30.695627563160528, 29.32073882681685, -3.143425041774132])", "action": "('move', [30.695627563160528, 29.32073882681685, -3.143425041774132])", "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": "4a0e9cca67a12fc2259c77aa41da2fdf10573f33201112b8588ec23618100e99"} +{"episode": 33301, "episode_seed": 3597903256, "split": "train", "timestamp": "2025-09-15T23:18:16.448341", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3597903256, "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', [15.048919400558576, -19.656603184358453, -3.1832379990025763])", "action": "('move', [15.048919400558576, -19.656603184358453, -3.1832379990025763])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALLElEQVR4nO3dX4gVdR/H8c/MOWeVbDeN1cxuEg0NCqS6KaQutLIUdQMtqEVdK8w/KbLRVQlGsZmk2ZpsarbelJL5B0XKEMSwggrElegPC4kgkYlZWe7OmXkuZty1Hu3J2p6zZz7v19Uuey5GOO/zm9935oxBkiQC4CGs9AEA+P8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCP7fkiRKkkofBPB7BN/30s6DQEFQ6UMBfo/g+1gcKwj0669qbNTy5ZJY59GPFCt9ALkSRSoWdfy4Zs3S/v268kqNHq0ZM1QoKOSjFf1AkLAA9YUkUbmsYlGffKK5c3X0qAYM0LlzGjNGH36o+nrFMc2j8ngP9oF0PlcsassWPfCAjh5VqaRz5zRihFpaNGSIkoTa0S+wwv9TSZIN51pa9NxzOntWxaKiSDffrDff1C23VPr4gAuwh/9HymUVCooiLVyotjZJ2a/33af163XdddkLgH6CE82/L4pUKOi779TQoLY2FQoqFFQu64kn9M471I7+iOD/jiRRd7eKRX3+uaZM0e7dqqlRuaxSSStW6LXXdMUVimNqR7/DHv7vSJfunTv15JM6dizbtNfXa+1azZzZe+MN0N+wwl+eNOZCQWvWqLGxt/axY7V9u2bOVBRxjx36L4Z2lyG9lp4kam7W6tWKY5VK6u7WhAlqa9OoUeruVqlU6aMELo1T+r8qvYvu5EktWKCtW7P9ebmsOXO0erXq6hjRoQpwSv+XpCO6jg5Nm6atW1UqqVxWGGrZMr3xhurqGNGhOrDC/2/p0v3ee5o/X52d2aZ9yBCtXKmmJkZ0qCas8H+mZ0S3caMefFCdnSqVFEW64QZt3aqmJkZ0qDIEf0npF10lPfus5s3TmTOqqVF3t8aP186dmjgxO88Hqgin9BeXjuhOn9bixdq8WcVi9n24mTPV1qbBg7MXANWFFf4i0pi/+UbTp2e1R5EkNTdryxYNHqw4pnZUJYL/nZ6vtR88qPvv14ED2ab9qqv0yit66aVsV893XVGlWKd69Yzo3npLixbphx9UU6OuLl1/vVpbNXlydikOqF68fzPpiC4I1NKipiadOqVSSV1duu027dqlyZMVRQpDBvKobgztpPOb9rNntWSJ1q/PlvE41pQp2rRJ9fWM6JATBN/75MmmJu3bpzDM7pmfN09r1qhQ4HF0yA/rN3KSZLV/+qnuvVf79qlYVByrtlYrVmjtWhUKPI4OueK7wqdPngxD7dih+fN14kQ2ohsxQq2tamjo3dUDuWG6eKUxh6FWrVJjo06cULGori7ddJN27VJDA/fMIp8cV/h0Tx5FWrJE69Zlv8axJkzQ5s0aMYIvuiK37IJPYz55UrNna8+ebA1PEs2dq9ZWDRzIiA555vXWThIVCuro0KRJ2rMnu9I2cKCef14bNlA78s9lhe/57yJ279bixerszEZ09fV69VU99BAjOlhwuZskCLLV+8svs6+1d3Vp9Gi1t+uOO7InzFM7cs9lhdf563DlshYtUlub7rpLmzZp5MjsDnlqhwOj4HX+xP7HH9XerhkzdO21DOThxSt4XbCZ/8PPgAO7kXTPdTjx5En4sQs+RerwZBo84IngASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8cGlxrCSp9EH0JYIHLqFcVhgqCCp9HH2J4IH/kq7qhYIOH9bZs5U+mr5E8MAF0tSDQL/8omXLNGmSWloqfUx9KUjytUUB/qmuLu3dq2ee0ZEjkjRypA4fVm1tpQ+rb7DCw16S9A7nvv9ejzyi6dN15IgGDVJjo95/Pze1SypW+gCAiopjBYHCMPvhzBl98IEk3X23FizQtGmSlCS5Gd1xSg9jaclxrK+/1pgximOFobZt07ff6rHHVFur7m4Vi7mpXQQPRz2TOUkffaSlSxWGevddDRumOFahkL0silTM2ykwe3iYiSIFgYJAJ05o4ULdc48+/liHDmnHjmy1T7f0cZy/2sUKD0enTmnbNi1fruPHJWnsWD31lGbNUqGQp+36ReXwMwz4M3v2aPXqbDI3dKhmz1Zzs4YNy/6a69rFCo/863mHJ4nCUHfeqYMHJenhhzVvnsaPl6RyuXfrnmsEj/z6w/l5+uuhQ2pu1tKlmjpVNTXq7lahoNBlmEXwyKP0ono6hNu+Xa+/rhdf1Lhx2YW3M2dUVyflcw7/57z+tci/JFEUqVSSpI4OvfCCtmxRHGv4cLW3Z8HX1WWfCGa1i+CRN0GgUknHjqm9XS+/rNOnJWn8eE2dKimbw0s+5/B/QPDIl99+09tvq7VVn30mSSNHatEiPfqoamtzf8ntryB4VLmejNNJ+8aNWrhQkmpqNH++Hn9cN97Y+1d7BI+qld4S15Nxmv2kSRo2TDfcoBUrdPvtCgJFkcKQ2lNM6VGdep4/9dNP2rVL11yjiROzmdwXX2jUKNXUZC8j9QsQPKrNhXP4/fu1cqX27tXYsTpwQPX10vmB3IXfkMF5nNKjqqQ79lJJHR1at04bNqirS5JuvVU//6yhQ5Uk2WtI/WIIHtUjLfncOa1apfXr1dkpSePG6emn1dCgAQOym2dxaQSPKpHuz7/6SnPm6NAhSbr6ai1dqrlzNXy4lKvn0vx72MOjqkSRTp/WwIEKQyWJBg2S8vkA+X8JwaPKsbBfDjY8qHLUfjkIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wBkIvTtrN9XfgAAAABJRU5ErkJggg==", "image_next": "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", "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', [15.048919400558576, -19.656603184358453, -3.1832379990025763])", "action": "('move', [15.048919400558576, -19.656603184358453, -3.1832379990025763])", "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', [15.048919400558576, -19.656603184358453, -3.1832379990025763])", "action": "('move', [15.048919400558576, -19.656603184358453, -3.1832379990025763])", "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": "7efeb364116b21fd1ac47cc42d6aba7f3bc82ae0d1da01679fe647c7ddce2d6d"} +{"episode": 33302, "episode_seed": 353001442, "split": "train", "timestamp": "2025-09-15T23:18:17.060970", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 353001442, "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', [-173.15943762004625, 131.71041796861996, -33.23986799726913])", "action": "('move', [-173.15943762004625, 131.71041796861996, -33.23986799726913])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJQUlEQVR4nO3dP49cZ8HG4fvMjo2MsVDCnxADMmBsbCMKhJCoKBAFBQWio0tPwcfgO0CL4BOgFEggKj4AEAcFYyfBaxMrieMQvF7PzqGY827Ii0XIrsOe7H1dhTVzZnb1FP6d5zl/ZmcYxzFAh8VRDwD43xE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FJlf8ON41COAY2t+wQ/DUY8Ajq3lUQ/gne7cyc5OtrYyDFksMgw5dSpnzkyv7uxkby9bW9NL+4Zh+pEk45jV6u1X9x+M49vvSbJeZxwfsXMZBnscjrFhnNUS+rvfzbPPZhgyjlkskuSZZ/LTn2Z3NydP5vvfzy9/Ob2aZLHIiRN5+DBf/Wp+8YucO5ckv/pVvve9fPKT2dub9hqLRba2slrlJz/Jt7+dJHfu5Ic/zPPP5/TpJNPblsvcv59vfSs//nFWqyxntiuEx2Fm/623trJcZhiyXmcYslpN2W/s7mZ39x3v39lJktdfz97etOWtt/KPf+TGjUf88rt3pwf37+e3v80rrzziPZvpfW9P8BxLM5vhf/e7bG9Pc/g45uHDfPGL+frXs15nscivf50bN7JYZL1OMv27s5Onnsp3vjOt/K9fz89/njNnslpNv2Szen/wID/4QS5cSJJ79/Kzn+XmzSyX055is3/Z28ulS3nmmenAAY6dmQUPvJ9mtnDd23vHZbnNkfz+ZLu3N83q/8+/nrRbr6eTdv++I1supwOEzYm9R+7pNgfzcEyZ4aHI/K7DA+8bwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR5VEPAD6oxjHrdcYxw5CtraMezX9nGMfxqMcA/I+Y4eEgxjGvv57t7bz8cp54It/4RtbrLGZ/iGyGh/dms4Zfr/OjH+XZZ3P9er75zfzmN3n4MCdOHPXg3s3s90gwM8OQhw+zWOTatVy7lnHM3/+e+/ezXGb+s6fg4T3bhP2Vr0xr+Ndey0svTdP+zAke3rNN5+fPZ7HIOObVV/OXvyQxw8NxNAxJcv58zpxJknv3BA/H12aGv3gxH/lIkoxjrl+fHsyc4OE92xyunz07BZ/k5s0kH4DzdoKHg1ivs7WVz31uenrrVl57bTqknzPBw0FsDuOvXJme/vWvuXUrmf2qXvBwEJvgL1+ejudv3pyCnznBw8FdupTlMotFdnbM8HB8bSb2K1fe/pzciy++vX225j06mLcnnsjZs9MNdteuTbfcznmSFzwcype/PD24di1vvHGkQ/kvCB4OZT/4F16YgjfDw7F1+XKSLJe5fTt37x7xYN6V4OGANjP5ZobfnLp76aXk/67YzZPg4VCefjqnTmW1SpLnn08ED8fYqVO5cCF7e0ly9epU/mwJHg7lwx/OpUvT46tXs7t7pKN5N4KHA9os3U+ezJe+lCSLRf70pzx4kMz4RL3g4eA2t9xsZvjlMm++Ofc76gUPB7eZyT/72SRZrzMMee65ox3RuxA8HNxmVf/kk/nEJ7JaZRzzxz8e9Zj+I8HDYT35ZD7/+enxc8/N9wA+gofD2J/hv/CFacsf/uA6PBxTmz9u96EPTX/rahhy61beemu+zQseDmVzy825c9PT3d3pfrt5fimF4OFQNpP5pz+dkyczjnnwIFevJnO9FC94OJT94D/1qSRZraYZfp4ED4eyCf4zn5mCT6ZL8Zb0cAwtFlmv8/GP5+mnpy2bD8nO84/bzXJQ8IGyWmWxyNmz09N79/K3v2Vra46TvODhsDar+v1L8Xfv5oUXklmetxM8HNb+l8luvmrujTfm+2WygofD2g/+ox9Nkt3d/PnPySzP2wkeDmsYMo5vB5/kxo1p+9wIHg5rschqldOn87GPTVtu387OTpbL2U3ygofHYDPJX7gwPb19O9vb08ZZETw8BsOQYcjly9Myfns7N28e9ZgeRfDwGOx/e/TJkxmGvPpqtreT+Z2oFzw8Bv8a/MbLLyeCh2Npc7h+7lxOn54i35yoXy7n1bzg4bHZ2sr58xmGLBZ58cW8+ebsrswJHh6nK1cyjlmv8/vf586dZGaresHD4/S1r+Wpp3LxYi5enOMH5oZxVvsf+IB75ZXcvp3Ll3PixFEP5VEED++L1SpbW7M7hhc8PE7jmHGc7sOZIcFDkfmdVQDeN4KHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8EZb3qYu1O5jsAAAAASUVORK5CYII=", "image_next": "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", "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', [-173.15943762004625, 131.71041796861996, -33.23986799726913])", "action": "('move', [-173.15943762004625, 131.71041796861996, -33.23986799726913])", "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', [-173.15943762004625, 131.71041796861996, -33.23986799726913])", "action": "('move', [-173.15943762004625, 131.71041796861996, -33.23986799726913])", "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": "9941ce6d6b88af1539a759d4a34f3a145f6f8763c48542456bb41f3bd03db998"} +{"episode": 33303, "episode_seed": 2276764924, "split": "train", "timestamp": "2025-09-15T23:18:17.681055", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2276764924, "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', [-0.7389706060386767, 2.7075730153391593, -16.244759277553765])", "action": "('move', [-0.7389706060386767, 2.7075730153391593, -16.244759277553765])", "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', [-0.7389706060386767, 2.7075730153391593, -16.244759277553765])", "action": "('move', [-0.7389706060386767, 2.7075730153391593, -16.244759277553765])", "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', [-0.7389706060386767, 2.7075730153391593, -16.244759277553765])", "action": "('move', [-0.7389706060386767, 2.7075730153391593, -16.244759277553765])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH2ElEQVR4nO3dX28U1x3H4d+sbYGjpICTCAE2hiJDVUwIUpS3kfebF9E0BuPGJBQoJiHCDokTg4x3pxezVXtXqR5np/4+z9Vqrs7NZ8+cM/+atm0LyDCa9QCA34/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcj8rAfwX7Tt9EfTzHQccCoMPXidQ48GHfyvv9aLF7W0VIuLtbhYI+sPOJ6BNtSdyX/5Zd26Vffu1Rdf1HffVVVNJrMdF/x/G/QMf/9BjUb1/Hnt7dWbN1X/saQH/gcDneE7G1+NJ5Nqmrp3ry5erCpn9XAsAw2o26v769dtVbVtXb9eS0szHhKcAkMMvjtvf/myXu3Od+WvrdXCQo3HNu3hWIYb/P37dXjYHZhcuzouO3ZwbMMNfvNBe3hYbVvn/tBcvToq1+Th2IYYfDeT33/Qdj+WV5qV1abs2MGxDbGhbibf2pqO7cqVunq12tYMD8c1uOAnk5qfr7292t2dHlleroWFevdO8HBcgwu+W8B/8029fl1V1TS1tjbTAcEpMtDgt7fbn35qq+q99+rmzSoLeOjD4DLqNuq2t8aHh21VXTgveOjNsO6lb9tp2E+ezVU1VXXufK2t2bGDfgxr3mzbmp+vX36pnRdd3+2li+MzZ+roSPDQg8EFX1VPn9Xz592B5s6dptxyAz0ZYvD/eDp5sdNW1fx8rX/iHjvozRCDf/as3rxtm6bOnKn19SrBQ08GtGnXtjU3V1X196fTv6GFhbpzp8oWPfRkWCWNRnVwUN8+qqpq27q2fLS46C030JsBBd+F/epVbW9Pj3z62ZzaoUcDCr6zu1uPH08X7Z/cbazeoUcDCr6bzH/4oQ4OamGhqurTu7MdEZw2Awq+25nb2qqqmkyqadpbt2Y7IjhtBhR809TRUW1uVlUdHdUfr00++KAt1+SgP0MJvjufPziozfvTbbq79+bOntU69GkowXfeHLQPN8ejuaqq9fXpSh7oy7CC33nR7B/ML8xXNdNbblyWgx4NJfhuob6xUVU1HlfTjq9fm36FAujLUILvdMEfHdXy5ebChVmPBk6dYQX/9V/G3Y8/3R5dWPJgLPRsQMFPJrX5YPr75s06f36Wg4FTaRDBdwv1x4/r9W9z3e03a2vTy/JmeOjRIILvbGzU0bvpa+1WV6vs2EHfBhH8v74tVeNxtW19/HFdvlzlMXjo2yCS6mbyja+mO3arq7W8XGXHDvo2iOCbptq2tr+dDmZlpS5d8mpq6N/sg59Mam6udnbq55+nr6ZeXZk0jY/JQf8GEXxVPdyq/f2qqtGobtzwkByciNkHP/165MPJ/n5bVefONTfW5sqOHZyA2VfVBf+3rcl4XFX10UfTj8mZ4aF3M35Ndfdq6ratp8+nI1laquvXuzfezHZocArNeIbvgv/xx/r+++mBlSvj6h6YEzz0bfbBV9WTJ/XyZVVV05SPycHJmXHw3Rb9o0e1s1NVdfZs8+f1Udmxg5Mx47C6mfzDD+vzz+v992s0qtu3/30c6FfTDuAJlcmk3r6tt29rb69WV73KDk7KIIIHfh8DWiu3redh4WQN6HPR1u1w0gY0wwMnTfAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5J/iIVdWw5IPxAAAAABJRU5ErkJggg==", "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": "176dd106c672f2ba34bc379028a454854209a17e1c643257e0ec1763c8f2331e"} +{"episode": 33304, "episode_seed": 230644860, "split": "train", "timestamp": "2025-09-15T23:18:18.304825", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 230644860, "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', [6.002836372117197, -19.850132329207543, 35.27800482851103])", "action": "('move', [6.002836372117197, -19.850132329207543, 35.27800482851103])", "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', [6.002836372117197, -19.850132329207543, 35.27800482851103])", "action": "('move', [6.002836372117197, -19.850132329207543, 35.27800482851103])", "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', [6.002836372117197, -19.850132329207543, 35.27800482851103])", "action": "('move', [6.002836372117197, -19.850132329207543, 35.27800482851103])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHzklEQVR4nO3c7+uddR3H8ffnnO/XoEkDUZsgQht1o0UwakOoXEvLwmkybwiC3fBWaYE3KmMGQhZoUN4qkAIj2B1Bu6E2/BEMytCJzVEylN2RiUKKDedkP77X9enG2Z/wPed82evx+AsuPlzP8/6cz7mu03rvBWSYLPsCgMURPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPBvFONY4LvsiLnaCZ0PovSaTmkxqGJZ9KRc1wbMhtFbHjtX779d0as7PkeBZslne775bd95ZN9xQzzxTE3fl3Fhalqy1qqpHH61XX62jR2vfvjpwoKqq9+Ve18WpdevK8szuvmPH+pd2jOfWpq3Vli31yit11VXV+4XPAtaRCc+StVY/u6/OnJtOpzUM/eGH1D5HgmdpxrFaq7882Z96uk+ndf58v/Gb/dZbbTrnyJae5Zjddx9+WF/7av/P66212ry5P/FE27OnhqGm02Vf30XKhGc51taqtXrkN8O/X6+V1RrH8Y7bx+uuq7U1p/RzZMKzBLMZ/tqRuuW7/e23W1Vt/Ux/9rm2bZvxPl8+S1m02Yg5e7Ye+e144kRNV6r3/qMf9m3bam1N7fNlwrNosxP4gwfrttvq3Lkahtq1s//9xba64mR+7gTPQs1q/+ijuv76Ony4ptMahjp0qO/erfVFsKVnCR57rA4frpWVGoa6667avbuZO4thwrNQvdc779QXvzCc/HDae11+eb30Um3dWuPocH4RrDGLM3vSZv/+/sHJ6exw7v79tXXrhXdjWQDLzIIMQ00m9bfnx8cfr9lzddfuGu+4o4+j92QWR/AswizpU6fqwQfbmTOtqi69tP34J+2KK5vN/CJZaRZh9jjNn/80/vOlWr2khqF/51vDzbe08+f98L5QDu2Yu9kMP3689t7U33izTSZ12WV16FDfvt14XzSLzSKMQ/3+d/2NN2t1tcax33P3qPalMOGZr9mTNodf7nu+XmfPt3Gsz322v/qvtmmTl96XwAcs89VajWPd//P28ZlWrXrvD/9a7UsjeOZotn08cKBeeKFWVmpYq337au9etS+NLT3zMruzTp6sHTv6iROt99r8qXru+dq50zuwS2PCMy/DUK3VL3/R33qrptOqVnffc6F2Z3XLYsIzF2trtbJSh1/uN91c//ugDUPf/vn+14OTq6+uKsEvjYVn/c2+op8+XQ891N9/r6rqkk+0e++ta67xksySWXvW3zjWdFpPP90PPttWL2nDUF+5drzze5PZ2GeJbOlZZ7NX4t77b//2jXXkaE2mbTrpL/6jdu5qDueXzoRnnU0m1Vr94Y915GhbXW3j0H/wfbVvFCY866n36r2OH+9f3jGePjOtVluuGI+81q78tOA3BBOedTaZ1P797dTH09ZqHMYHf6X2DUTwrJvZt/ennqonn7zw75Tf2NNuv/3C2GcjEDzrYzbDT52qBx6o3msYavPm+ul9bdMmb8VtIL7Ds57GsU6frtYu/E3dpk9WL5v5DUTwEMROC4IIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8H3IhwPYXRmGIAAAAAElFTkSuQmCC", "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": "d3e7171f7e00bcc5d569004281da8178a89a652cb467e4f586a9e20567888e0f"} +{"episode": 33305, "episode_seed": 4021172913, "split": "train", "timestamp": "2025-09-15T23:18:19.304469", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4021172913, "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', [-0.5708748313845751, 5.499600443794509, 27.573142325699774])", "action": "('move', [-0.5708748313845751, 5.499600443794509, 27.573142325699774])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKUElEQVR4nO3dXahlZR3H8d/eZ5+D49DIDMQocxFeBEq+5FsEkXhhZJImSSJIqNAkxCSSXpg1F+E4KAildCHpReNcxJhGBSaKLySiFjiIlWmGmCgjajoyHUfnnL1WF2s7+UrRzF57xv/nc3XO4cBeN9/zf9aznr3PoG3bADUMZ30BQH8ED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiODho7XtrK9gPxM8fLTBIE0z64vYnwQPH9AN9rffzltvZTjMePyxGfWChw9omiwvZ9OmfPObefLJzM1lMMh4POvL2g8G7cflTxfsH+Nx5ubypz/li1/MG29k3bpceWUuuSTz81layvz8rK9vn5jw8F7DYdo2hx+eq6/O2rV58cV897s599w89tjBXntMePgQbZvBIEn++tds3Jg77kiSI47IZZfliismfxG6XzjYCB4+TNumbTMcZs+e3HprNm7MSy8lyemn5847s7CQtk3TZDg8uMq3pIcPMxhkOEzTZGEh3/pWHnoo556b0SjHHpuFhckvzM2laQ6uDXwTHv6bbpIn+fnPc/bZWb06SXbvzvPP56ijknf2+Q4GJjz8N91Ne9PkoouyZk2aJoNBbr8955yTjRvz5puTUX8wEDz8D7oV/vLyZNovLmbbtjz9dDZtype+lAcfnCwBDvj1suDhfzYaTcJesSI33ZSLL85olIcfzlln5aqr8q9/HfgbeO7hYR/cdlt++MM880ySnHJKrr8+J5+cFSsO2PIFD/+XvY/id+zIxo3ZujV79iTJ9u054YQD9qGd4GEf7N3A/9Wv8oMf5Mgj88tfZuXK//w5OMCO6Age9k33KH5uLs88k098IocfPon83nvz6U/nU59KDqDsBQ/7rG0zHmc0St55Jv/QQznnnKxenRtuyJlnJpk8zJt19nbpYZ8NBhmN0jSTqpP8+c9ZXMzf/56vfS0bNuTllyf387N+j60JD/tVF9RgkLvuyo9+lD/8IUmOPjqbNuXrX5/tpUXwMBXdwv7113PddfnpT7O4mMEg69dnw4Ycc8wMF/aW9DAFc3MZj7N6da69Nr/9bU49NW2bn/0sd98929t4Ex6mZu8G/muv5Sc/yT335Be/yJFHvmfTfu+DvV4IHqZs73vpFhezcuWk8Hvvzcsv5xvfyPx8xuPejuhY0sOUzc1NdvL21v7889mwIRdckPXr8/TTkw/J7GX0Ch6m793Tu22ze3fWrUuSLVvy5S/n5puztNTPZ+Bb0kO/uhv4N9/MTTdl8+b8859Jsn59rr128tEa01zbm/DQr26SH3povve93H9/vvrVyc8PPbSHYzkmPMzC3g/J3LUrDzyQk07KunU97NgLHman32dysaSHWer9g7EED7PW49k7wUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+z1LZJsnNn3njjP99Oj+BhlpomSe68M/fckyTj8XRfTvAwM22bwSBLS9myJc8+O/nJVAkeZqZtMxzmySdz//355Cf7eEXBw2x04315OTffnPE4w15aFDzM0lNP5ZZbkunfvXdGfbwI8AGDQZJcd13efjuDweTbaTPhYQbaNk2Tv/wl27Zlfj5tm+XlPl5X8DAD3Xbdpk1ZWkrT5JBDsnZtkqnPecFD37otuu3bc/fdGQwyHufUU3P66WmazM1N96UFD33rDtvccEN27kySQw7JRRdl5co0jQkPHy/jcebn8+ijk6N1bZuTT8755/cx3iN46N/SUrZuzUsvZTjMcJjLLstgMHksP22Ddtpn+YB3jMeZm8v27TnjjLz2Wpomp5ySRx7xWA4+drqd+eXlbN2aV17JcJi2zVVX9XTGrmPCQ0+6Rfvf/pbPfjZLS1lezuc/n9//PgsL/V2DCQ896RbtN96Y3bsnX3//+1lYmPo75N5zDSY89KBt07Z57rl85jPZsydNk9NOy29+k1Wretqu65jw0IfuBn7z5rz1VgaDjEa55JKsWtXHs/d3EzxMXVf1U0/l17+eHK37whfyla/0upjvCB6mrgv+xz/O668nyWiUCy/MYYf19zb4vQQP0zUeZzTK44/nd7+b3Ml3R+vato+jde8jeJiuts14nC1b8sILk6N13/52VqzIeNzr3XvHLj1MUXe07okncuaZ2bEjbZvjjssf/5j5+RnUHhMepmo4zHicbdvy4ouTo3WXX973s/d3M+FhWpomw2GefTYnnZRduzIe55hj8thjMxvvMeFherod+Ftuyc6dk6+7o3UzZMLDtDRNduzI0UdncTFtmxNPzH33ZdWqZPofZfVRTHiYiu5o3fXXZ9euyd37pZfmsMN6PUj7QSY87H9d1S+8kBNPzKuvpm3zuc/lrruyZs3kxn5WTHjY/7r/KnHNNXnllclPLr44a9bM4Gjd+wge9r+u6rVrs3Jl2jYnnJDzzpvxYr5jSQ9T9I9/ZPPmHH98vvOdLC9nNOt/9SR4KMSSHqao+5dSB85UNeGhEBMeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjk3zU1nRG1DQDhAAAAAElFTkSuQmCC", "image_next": "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", "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', [-0.5708748313845751, 5.499600443794509, 27.573142325699774])", "action": "('move', [-0.5708748313845751, 5.499600443794509, 27.573142325699774])", "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', [-0.5708748313845751, 5.499600443794509, 27.573142325699774])", "action": "('move', [-0.5708748313845751, 5.499600443794509, 27.573142325699774])", "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": "2e37229891e626b41c5aac5d9f7b01c23d4e286dbc0dd1d11436591e7d7e688d"} +{"episode": 33306, "episode_seed": 1999956331, "split": "train", "timestamp": "2025-09-15T23:18:19.909604", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1999956331, "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', [6.13620296029324, -5.074840939388665, -7.945014389197287])", "action": "('move', [6.13620296029324, -5.074840939388665, -7.945014389197287])", "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', [6.13620296029324, -5.074840939388665, -7.945014389197287])", "action": "('move', [6.13620296029324, -5.074840939388665, -7.945014389197287])", "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', [6.13620296029324, -5.074840939388665, -7.945014389197287])", "action": "('move', [6.13620296029324, -5.074840939388665, -7.945014389197287])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIQUlEQVR4nO3bPXNU5R/H4d/Z3RCChAGBCfKQMNo5VlaOnY21DS/AxorCV+HYWFrbak3hC6CxsXG0cCw0gEkceZiBxCHJ7h6LPWR5WPgzf3kIfK9r7skcNvfuniX7OffZE2jati0gQ+9l7wDw4ggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggxe9g6wT7Xt9GvPuvC6aNrJj5RIj/vhN82L3Q9eFCv862yv572Npnkg5ieE/fffdfVq/f577e7WJ5/UwYPPbS95gazwr4O90+/7N3q96vcfe5fd3W5sb9f6ev3xR62uTse1a3X3bg2HtbNTJ07UTz/V8ePVtlb+V54V/hUzifnRtgeD2TX+809tbdXWVm1u1uZmbWzU6mpduVJXr9bVq3XlSq2tzX6iyaO1ba2t1dZWHT/+3F4SL5Dg96/7k94b/f7sdXtnp27efGD89VetrdXaWq2v1/p6/flnbW8/fK+mqbm5apoaj2s4nPHsg0EdOVK3bz+P18dLIPh9au/8+dF1++bN2tiojY1aX+82rl/vxo0bdf163bo14wF7vTpwoKoeaLtta3e3215crFOnammp3nqrTp2qU6fq5Mk6ebKOHavl5dl7wivHZ/j9a3u7O/e+dq07A792rW7dqjt3urG5OWPRnuj3q21rPJ7xraapc+e6cfZst3HiRB05UocP1+JiLS7WwsJzfWW8NFb4fWeytn/+eX33XXdRbWendnae9u5N05329/u1uFjnz9fKSq2s1PnztbxcKyt1/HjNz9eBA93Xx+3DaDQ9y+j3Le+vCcHvU01TGxvVNI/9VXm/X4cO1cJCN44erZWVOneuVlZqeblr+9ix//1Ee1cH9pKebAy8NV5Hfqr71MpK1b0rZ4cP19Gj3Th2rN58s86cmY7Tp+v06ad6zEePHZNfy1u9c/gMv0/9+GN9+20tLXVXzvbGG2/MmDwe13j8wEU+GTOT4F8xw2HX9l7SVmmenuD3qck19tFo2vP9hcP/R/AQxP97hCCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCDl70DvC7atsbjqqqmmd7Yu29FmXz3oQmP/rFtH76FZ6dp2/Zl7wPcMx7X5A3ZttONqmqampvr5oxGNRrNOCg0TfX7DhZPJnj+s8mavLVVv/1W8/PT8Obna2mpDhyoqhoO68aNmpurXq/6/er1uo2mqcFApS+MU3r+s/G4+v365Ze6cKEOHaqqGgyqqs6era++qnffrapaXa1PP62FhWqaLvXBoObmajyuzz6rjz+uqtrerq+/rl9/nR41JtOapk6frosXazSqfr9++KEuX665uRoMpnN6vTp4sD76qJaWfCh4AsHzjNy5U1euPHDL6mptbXXbN2/W5cuz7/jhh9Pgv/mmfv55xpylpbp4sYbD6vfr0qX64osZcw4frkuXammpRqPuiMMj/L3wn/X7VVXvv1/ff19tWzs7NRrV3bu1sFDvvNPNWV6uL7+sXq92d2t3t4bDGg5rNKrNzfrgg27OYFAXLtTbb9fcXG1vT+fcvl3vvVd17xLgiRN15kyNRt3j7Ox01wvn57s9sbw/ns/w7DOTE/K9t+Xk6t3kg8DEeDy94L83YXJoWFiwtj+Z4Hl27n8vWWb3JYdDnh2R73v+pR0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+Re8QMUaKKxkwgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "5598b7dccb7786b755a7d500f123549caccb72c9bbbd7c1d92ba0184d09a2d3d"} +{"episode": 33307, "episode_seed": 151902855, "split": "train", "timestamp": "2025-09-15T23:18:20.519288", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 151902855, "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', [-5.981341203843996, -6.518571252335114, 24.332274366101995])", "action": "('move', [-5.981341203843996, -6.518571252335114, 24.332274366101995])", "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', [-5.981341203843996, -6.518571252335114, 24.332274366101995])", "action": "('move', [-5.981341203843996, -6.518571252335114, 24.332274366101995])", "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', [-5.981341203843996, -6.518571252335114, 24.332274366101995])", "action": "('move', [-5.981341203843996, -6.518571252335114, 24.332274366101995])", "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": "97fc8d2bd89877de2806d19fdb46a7835b53453180b11e95f6533b7677ff9636"} +{"episode": 33308, "episode_seed": 908825361, "split": "train", "timestamp": "2025-09-15T23:18:21.466827", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 908825361, "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', [-29.94653055517831, 3.2832341020252476, -50.60242697439485])", "action": "('move', [-29.94653055517831, 3.2832341020252476, -50.60242697439485])", "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', [-29.94653055517831, 3.2832341020252476, -50.60242697439485])", "action": "('move', [-29.94653055517831, 3.2832341020252476, -50.60242697439485])", "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', [-29.94653055517831, 3.2832341020252476, -50.60242697439485])", "action": "('move', [-29.94653055517831, 3.2832341020252476, -50.60242697439485])", "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": "f9b35762b44d3bed1ed29f83c224a84d251d69029cd1c99379ae3bc7cf4dd39e"} +{"episode": 33309, "episode_seed": 924719471, "split": "train", "timestamp": "2025-09-15T23:18:22.074004", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 924719471, "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', [26.32905328747776, 24.607232365448994, 43.06580500435189])", "action": "('move', [26.32905328747776, 24.607232365448994, 43.06580500435189])", "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', [26.32905328747776, 24.607232365448994, 43.06580500435189])", "action": "('move', [26.32905328747776, 24.607232365448994, 43.06580500435189])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALDklEQVR4nO3daaiUZQOH8euZmaOUWWTRgiUitBESFGVQFLZnC0RYhrRQFrZCIVaIfTLLdqJFomiDog+VFUURYUILZSRFZRRttFkGpVmWZ2ae98NM5xi9b69HT83M+V+/TzKeDw/juea+n/u+57EoyxJJGSqdvgBJ/x6Dl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBq9u8vvvbNjQ6YsYyQxeXaDZBFi+nKlTufTSTl/NSGbw6rSybP9hyRJef52HH+bDD2k2B1/X8DF4dVpRtNu+8EL23JP167npJioViqLTVzYCGby6QLVKvc5uuzF9OsDjj/Phh4CD/LAzeHWH1jh/wQVMmMBPP7FwIUCj0enLGmkMXt2hWqXRYMIEZsxg112ZMKH9ooP8sCpK31B1ibKkKPj+e/r7GT+esqQsqTgmDSeDV1dqNFy3+yf48akuU5Y0m+0Z/sqV7XM4DkvDxODVfSoVVqzgwAM58UQ++wwMftgYvLpMq+2+Pj76iE8/5bHHAO/kh4vvo7pMa39u3325+GKAu+/mq6/aC3jaYgavLlMUNBoUBTNmsNNOrFrF/fe7ejdcDF7dp1aj0WC//Tj1VIC772b1apsfFgavrlSWVKucfTY778y337J4MXjwbhgYvLpSrUZ/P1OmcPTRAHfeyddfe/Buyxm8ulW1CnD55ey4I+PH8+WX4P7clvKknbrec89x+OGMGUOz6f7cFjJ4dbfWAXuw9mHhO6juVhTU6+3af/yRdevAif3mM3h1t7Js79LdfDP77MOjj7Zf1GYxeHW9sqRe5+23+e477riDH34YfCqWhsjg1d2KgmaTrbZi1izGjuXdd3n2WQ/hbDaDV9erVGg2mTKFadMAFi3it99sfvMYvLpea5DfemtmzmTbbVm5sn0n33qavYbCbTn1iHod4KSTeOEFJk9mxQoqlcFNO20aR3j1iKKgVuPSSxk9mnff5dZbwdP1Q2bw6hGtO/lp0zjoILbbjtWrAYf3oXJKr97R+l194w3WrOHYYzt9NT3J4NWbPGm7WXzL1GsaDer1du31uidwhsTg1WsqFWo1vviCU07hlFM8XT8ktU5fgDREra24V19lyRKAV17h+OM7fEm9wxFePagsOeEEjjoK4MYb2w+91CYwePWaSoVGg+22Y+ZMRo1i6VJeegmc1W8Sg1cPajU/fToHHEBRcN11YPCbxODVg1qHaseM4dxzAV57jeefb38K6G+5D6/e1Pq93bCBgw/mvfc45BCeeYatt/b/nP17jvDqTa2v0I0ezSWXUK/z88+sWkW16lfo/p7bcupZredYn3EGa9ZwzDHsscfgi/ofnNJLQZzSq8e1nnjnct2mcYSXgjjCS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGHyWsqS/n7Ls9HWoQ4rSf/wYjQbVaqcvQh3lCB+hLGk2qVZZs4aHHuLXX9svKo3Bj3CtqouCSoWHHuKIIzjvPF56qf2i0jilH7GaTYBKBWD5cubN4+WX6e+nKJg0iRUrGDu2sxeoDnCEH4FaK3OVCpUKn3zCZZdx8MG8+GL7I6AsWb+elSvbf1YUR/iRptFoT+C//ppHH2XRIn74gWqVoqBeZ9w4TjuNK69k4sROX6g6odbpC9BwGliHf/BB7ryT5csBRo1iwwaA00/nggs44giAZrM921cUR/iRYGBlDli6lOuv58UXKUv6+ujvB5gyhauuYto0Ro2iv59q1dpDGXxvK0vKsl3v558zfz5PP83atVSrNBoAu+zC/PmccQbbbw9Qr1NzVhfM4HvYQL2rV3PvvVx/PWvXAhQFZcm4ccyYwfz57LILQLNJUbgVl85P+57UbNJsUquxbh1PPcXChXzwAdCew/f1cfzxzJvHgQe2f35gFqBwjvC9Z2Bl7rnnWLyYZ56BjVbmpk7lwguZPh1cmdNfGHxPev99Fi3iiSf45Rf6+qjXKUsmTmTuXE4/nXHjBjfnpI0ZfA/YeGVu7Vquu44HHmDVKvjjdn3UKObMYfZsdt8doL+fWs3bdf0XBt/tBibw69axZAnXXMNnnwHtdfittuK447j2WvbZB/58nFb6K4PvXs0mjQZ9fTSbvPwyCxawdCkwuLt+6KHMnctJJ7V/viwd1fV/GHyXGhjY33yTe+7hvvsAajXqdYDJkzn/fGbPpq+PRoNKxdS1SQy+6wwM1N9/zy238PDDfPPN4GH4sWO5/HLOPptJk8BnWmiIDL6LbLyLdtdd3HYbH38MG83hzzmHK65g8mRwZU6bxeC7wsC0vF5n2TKuvpq33qIs23P4omDKFBYu5LDDqFYHH18jDZXBd1hZUq/T1wfwzjvccAOPPAIbjep77cVll3HRRe2f9yyNtoTBd9LAHfgnn3D//dx+Oz//TK3WPjm7++7MnMmcOeyww5++DydtNs/Sd0xrWr5hA3fdxX338d57sNHAPmsWs2dzwAHgypyGjyN8Jz35JDfdxGuvwUaH4Y88knnzmDoV8LvrGmYG3xllyVln8fjjrF8/+N31SZNYsICTT2bMGHBg1z/AKX1ntB4dO1D7rrsyaxZz57LNNvDHd9etXcPOEb4DWkdrfvyR/ffnm28480zmzGHvvf/0t9I/weA7adkyvvuO004DJ/D6Vxh8xwyM5PV6+xny0j/Ne/iOKQoajfZxOunf4QgvBXEeKQUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtB/gOFkPad+Mk8YwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [26.32905328747776, 24.607232365448994, 43.06580500435189])", "action": "('move', [26.32905328747776, 24.607232365448994, 43.06580500435189])", "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": "249d569bbe81dfbdc05af9fdcb8033a452a11ce4794611024b5e0945dfac5dde"} +{"episode": 33310, "episode_seed": 2270444725, "split": "train", "timestamp": "2025-09-15T23:18:22.680030", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2270444725, "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', [9.465052210518733, 0.38169137680924076, 55.84295652445204])", "action": "('move', [9.465052210518733, 0.38169137680924076, 55.84295652445204])", "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', [9.465052210518733, 0.38169137680924076, 55.84295652445204])", "action": "('move', [9.465052210518733, 0.38169137680924076, 55.84295652445204])", "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', [9.465052210518733, 0.38169137680924076, 55.84295652445204])", "action": "('move', [9.465052210518733, 0.38169137680924076, 55.84295652445204])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKM0lEQVR4nO3df6ildYHH8c85984kOY3QNrMaEzikSM4yjSKm1pCm1Kqxk4tGEAhD4D+FEUIgQz9gYdtFIwhjQ8yWXNloV2tmDZVmCtIizTGd0nJpWyditJWMamxy7r3n7B/nMOOPabQ7dif9vF5/zTznnssDc97n+zzf5/s8MxiPxwE6DI/2DgBLR/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPCvLOPx0d4D/qIJ/pVikvpgcLT3g79ogn9FGI0yGGQ8zs6d+fWvE0M9hyb4l7+FhQyH2bcvn/hEzj4711yTp58WPIc0e7R3gCMzN5dly/Loo7nqqtx6a5J8//v5zW+yalVGowx9ofMsPhAvW+NxFhaybFnuuiubNk1r37w5N9+c1auTqJ3n85l4eRqPMxhkZiZf+lIuvTS7dmX58lx7ba6/PqtXT0/p4Xkc0v8JxuNpaEe5pslOzM3l4x/Ppz+dubmccEJuuCEXXZTEkTyH4ZPxYs3PZzDIcJjBIPPzmZ/PaHQ09mM0mk7Izc5mNMrcXM45J9u356KLpi+pnT9uMDade1iT0fSnP8211+ass3LaaVm7NitXTl+dm5t+CyxFZeNxRqPMzCTJwkJmZvLEE/nyl3PZZTn+eAM7L4bgX8D8fGZn87nP5UMfSpKVK/P2t+ecc3L66TnjjLz2tQd/7MD4/2cxOS0fDPL5z2ft2rzrXdOvooln/hn+OMEfzmQifHY273xnvvGNHHNM/vCH6UsrVmTDhrz5zdm4Meefn9e97uBbJl7KACc9LyzkYx/Lpz6V447LN7+Z00/PaDQd89XOi2PS7gXMzmZ+Phs2ZOfOPPnkdONwmL17c/fdufvufPGLWbMm69blwgtz8cV5/euf9fbJef7i5/kOLJj95S9zxRXZti1JTjllemgxGGTWvyB/AiP8C5ucO//2t9m5M1u35vbb89hj+f3vn/tjMzNZsSLr1+c978nFF2fNmhx77MFXj+iY/777snlzfvSjJNm8OZ/5TI47zmE8iyD4xbjnnmzdmm99Kz//efbsObh9sp594vTTs2lTzjsva9dmzZrpxtEo8/OZmXlx5Y9G2b8/t96aK6/Mr36VY4/Nli25+urESTuLJPgX65An5w88kO3bc++9+eEP85OfTDfOzk4vk0+sW5d3vCNnn53167Nu3XTj5Oz7cNP7k3n4m27K5ZcnyYkn5pprcumlUudICH4xJrlOlrpNPPJI7r8/996bb387998/3fic8k86aTq3v3Fjzjrr4G977o2tk79Prqjv2pVNm7JqVa6/Phs2TL8FYLEEf0RGo+m9agcy/MUv8rOf5TvfyW235bvfnW6cTNodWKhzwgk58cS89a1597vztrc9K+FxMk4GycFB/KGHsnJl3vCG6RVCOAKCfwlMZvVGo+mQPvG732XPnuzYka9+Nffck6eeOsTKvBUrsnp1zj03l1ySjRvzmmNHw+HT+dcv5D+3jW78t/Gq1YPxaDg7TGJs5yUh+JfSZLH9ePzcNp94InfemW3b8oMf5PHHs3fvdPszJ/mOe83oby8Z/t3818/496uOH//vyn/8aK7+h2Q8v3+cZDg7tI6OIyf4P5dDPnJq795s354dO/Lgg3nooQMX9heWZWEhw1GGyfCY7Dt/sOOCzSeedvnfnPqmrFo9fe/c3LPOHWARBL9EDhzzTzz1VL73vdx3X+69Z3z3rsH/PZqMkpksH4zmF4ajcTLOq16Vt7wlZ5yRM8/Mxo3PXdIDiyD4JTVZqzsaZfnyJOMk+/YP/vujX3jouh07Fs69Pec9lpOTUTKeHQ7mR9OD+OXLc8opOemkvO99ee97p7/HtTkWQfBHx3h+tLAwHg+Hy378YP7+wvzP43N/veaJf/mPH//VWbfdMtr6X8Pduw8xyXfZZfnKV6ZPtYJFEPzRcGDKfX5hPB6P/umfs3XbzE035k2nJkkG8/N54IF87Wu5887s3p0nn8zCQpJcd10++EHBs3iCX1oH7ml/+OGceur00Hx+PsPheDjMoeb5Hn44d9yRO+7Ivn258cacfLI731k8wS+hA/e033xztmzJRz6SD3942vzz5vQnl/fyjEdR7tmT44+XOkdE8EvlwD3tn/zk9NHxb3xjdu3Kq199+P80ZjK9n1hlx0vAh2hJTJLesydXXplbbkmSM8/MDTdMJusPP+E+ucFmcipgeOcIGeGXyv79ueCC3HVXkrz//fnsZw8+HwuWihF+qSxfng98ILt354orsmVL4nnSHAVG+CUxOYF/+uk88kjWrz+4BZaW4JecgZ2jxydvCU0W1qqdo8cID0WMNlBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDk/wGjhJKZU9tDeAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIhElEQVR4nO3dzY+dZR3H4d/znJlOoaH+BaahRUjgTyAoKZTyEhNLAnsjxBKoqQYScWEC2lJiLC9Cm1qjtJOU1pZg3YC6YoW0Egw10RVho0IUAiQCw5xzbhdnLAYDAWznTPu9ruWs7sX5nPvlOc89XWutgAz9tAcALB/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBn29am/YIWMEEf14ZjwXPJxH8+WM8rr6vvq/xeNpDYaUS/PmgtWqt+r5eeqmuvrqef37pj/ARgj/njcfVddV1dezoePOm8XPP1e231auvVtdpno8S/LltOKy+r4WF2rmj3XJr/eONfm6u/vyX2rFj2iNjRZqZ9gD4/IaLNTNbf/tru+eeOvRk13VdP6iFhbZxY3f33dMeHCuSGf6c1FqNRjUzW3842bZsaYeerJmZqqrRsN2xtR0/3i67rFqrrpv2QFlhBH/umZQ8GNSxY23LlvGJk92qVd1wWBesbnv2dI/v7des6SYbe/iIrjnYOadMnr1V1f3314O76t33ana2Fhdr3ReHTxwcXH11d/rEHv6X4M8ZrdV4XINBvfVWbd1aR45UVQ36Go3rK18eHTg4WLdu6Vje3M7HMRGcGyab9sGgXn65Nm+uI0dqMKiuq1Z1x9b2zDODdes+fD4HH0fw54DJ3D4zU0d/2W66sZ040VatqtGoLrqoHn209uztLrjww6U+fAJL+pXu9GH7fd9vu37Uvf9+zczUcFjr19e+fXXttTUaVd+b2PlUBL+CtRq36vt6++3aevvo8NG+67quq/G4rtnY9v2027BB7Xw2VoErVPtP7adO1aZrxoeP9rOzkxP4dued7fivuw0bajhc2snDpyT4lWjylmvf11PH2qZN7eSL/dxct7hYay8aPfJwe+yxbs2apV09fCaCX3Emx2+t1Q9/0G69pV5/vZudrYWF+tIl7clD3bZv9ae/DuCzsodfWSa1//ON+s63a35+aX8+GrXrruseeqguv7yGQxM7n59pYqWYPHvr+/rjS+2rN9X8fK1aVeNxjUbtrjvr8GG1cwaY4VeE00/Rnzo6vmtb99rr3dxcLSzU6tW1a1dt21Z9v/TDG/h/CH76JiV/8EHt/vH43u+1qsGk9vXr6/HH6/rr/WCWM0bwUzZZpb/29/ruve3Ager6btDXcDjeuLH27u0vvdRP6DiTfJSmaVL7iyfbzTe3Awe62dmujWs4HG+9vT39tNo583yapmNysezMTD11dPy1Le3533dzc7W4WKtXt4d31559g7Vr1c6ZZ0k/BadLfvDBuu++9t573aq5+mCh1q0b79/fb9q09HWgds44wS+3yTL+zTdr+/aan6+qGgxqNGpXXTk+MD+4+GJHdJxFJpHls3QR3Uz96VS78caan196zDYa1W1fb7/53VLt3mnn7BH8MpncPDUY1PFftRuuH73wQpudXXqnfffu2v/zfvVq105y1lnSL4fTJe/c0XburH+9283O1uJiu3hd27uv37y5RqPqOpt2zjrBL5N33qk7vjk+dLivWvr3b1ddOfrFE/2GSzrvtLNszCln1+S8/dSp2rSpHTrcTzbtrdVt3xg/+9vBhku6yb2Uamd5CP7smgR/8GCdONHNzdVo1L6wdrz7obb/Z/2FLqJj2VnSn3Wt1cJCbdlSzz5bGza0nzzSbrip9+yNqRD8MnnllXrggdq+va64wtVUTI3gl8PklH7yVpx32pkiwS+T/24epkXwy8fvapg6Z8TLR+1MneAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8B6I0cIn49P0IAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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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": "7b3f403d81a2f50828841437a00a130efcc9f12d3f0f405725c254acbe03142b"} +{"episode": 33311, "episode_seed": 2095805343, "split": "train", "timestamp": "2025-09-15T23:18:23.298697", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2095805343, "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', [41.803109579819235, 11.526234575425802, 10.300339444636023])", "action": "('move', [41.803109579819235, 11.526234575425802, 10.300339444636023])", "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', [41.803109579819235, 11.526234575425802, 10.300339444636023])", "action": "('move', [41.803109579819235, 11.526234575425802, 10.300339444636023])", "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', [41.803109579819235, 11.526234575425802, 10.300339444636023])", "action": "('move', [41.803109579819235, 11.526234575425802, 10.300339444636023])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIXUlEQVR4nO3dy6td5R3H4d+79zmS1Ci2yLGD4KVWAtJ0oPWC1cRGqziwQryUauhM8K/w/xB0UEpNsVC1oESwUVOMVk11oAY1pJOW1BRF8Jb0nL3eDtbRprGdGQ+s7/MM12itwWf/3nXdrfdeQIbZRu8A8M0RPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPPyX3jd6D84kwcPpVldrGDZ6J86M1qf9gwacwoSHqi9W8u+8Uw88UA8/XEePTnNtL3ioqlosqqp+91h/6KG6//66++46dOg/2ydD8FC912xWVfX007W0VLNZnThRKysbvVtngOChhqFaq4Mv9nffa2tr1Yd+867FhRfW6mrN5xu9c18rwcN68E891T/4YKiqc85pt942q6rWNnrPvm5LG70DsMGGoZaW6uOP6+BL4/zrF1/cd+6cDcPUxnuZ8DAsqrX688vDa6/1alXVbtzZzz57fexPjOCJ1nu1WVXViwfbJ59Uq9q0qX5x37z3CY73EjzhxrCPH69nnmmttep16cWLa66p1iY43kvwhBufrnn77eGll4bZvHrVz++dtzbNp27KRTvCzee1WNT+/euTbz7rd945xcn+BROeXOMY//TT2ru3WqvFWl19dX3/0qop3pAbCZ50b7xRR47U0lJV1X172vJZk13Pl+BJNo7x3z7aW6vFojZvrh07asIn8CV4wp04UY//fqiq3uuWW+qSS6qmu54vwRNrGKr32revjn84b7Pqvd/y075lSy0WgofJ6b1aq72/GYZFDYv67kq/9tqN3qczz205Eo3vw77/fr3y6vo0//ENsx9sr2FYf092qiZ9cPB/jOv2p5/qx46NG/qO6xdnnTXx9XwJnli91759/eS/qqouuqjdetv8y89gTNjUjw++YrGopaV6991+6C+zqlZVP9w+bNtWi4XgYXLGT1C/8Hz/69HeWi0v99tvb+M1vGmv58tFOwItLdXJk3XgT7OhV1Wdd17deXdrbZrvw57GhCfLeFnuyJHav399y44d7Tvfnuw/T5xG8CR69dU6dqyWl6uq9uxZvyefwJKeIOPnLj7/vJ54vFe1tbU6//y66aaU2suEJ9Df/9affbaPZ+x33VVbtmz0Dn2DBE+QcZL/cX/79LPZfF69D7t392m/HncawROm169/tWitVldr27bavj1mNV9VgifHOMbfO1IvvzKbzar3uuOO2QUXbPRufbMET4rxxtveR/ti0XrV8vLiJzuH1mptzUU7mJzxszZPPjFU1bCoK6+cX/GjWdX0H6c9VdKxEmx87/XQoTpydF6tqvoN1w8rKxHPz58q6VgJNv7N+2OP9U8+rup17rm188bWe9D1+ZEHb5i+3mtpqT77rA4ebOPz85df3nbtqpDn509lwjN942W5Awfq8OGqqtmsrruuNm+u1dWgy3UjwTN941n6c8/VRx9VVW3ZUvfcU1Vx470Ez+SNf/N+/J914MD6lku/16+6avqfr/uf8o6YMOPt99dfG15/fRhH+s/uaOODN4EEz5R9+Tfvz78wO3lyVlXzWd17b1XY7fcvRR40SVqr9//Rn/xDb62Goa65enHZZevbAwme6XvzzTp8uC8vV++155fzzNRHgmfKxrafeLK1Nlss6uxvLW6+uVeFnsCX4Jm8Dz+sRx6p3muxqF03zbZuDZ7vgmfyNm2qBx+sK66oqtq9u23eXMMQegJfVa3HLm5IcvJkvfVWbd1aKytBn6z8KsFDEEt6UhhtJXhyxC7jTyV4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPJvMzacOcugjmYAAAAASUVORK5CYII=", "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": "0adf6830c92cdd5d0876bd4e93006686c2421893ac28646a4629356d26a1bf3a"} +{"episode": 33312, "episode_seed": 4045482901, "split": "train", "timestamp": "2025-09-15T23:18:24.245169", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4045482901, "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', [26.713830092725264, 32.054172455455074, 6.834404051917147])", "action": "('move', [26.713830092725264, 32.054172455455074, 6.834404051917147])", "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', [26.713830092725264, 32.054172455455074, 6.834404051917147])", "action": "('move', [26.713830092725264, 32.054172455455074, 6.834404051917147])", "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', [26.713830092725264, 32.054172455455074, 6.834404051917147])", "action": "('move', [26.713830092725264, 32.054172455455074, 6.834404051917147])", "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": "d58f5329a036f415643dae74bec503ee6d432f260ab8c9d72e93d503f95f4cb7"} +{"episode": 33313, "episode_seed": 1048481715, "split": "train", "timestamp": "2025-09-15T23:18:24.856950", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1048481715, "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', [32.09054195167045, 46.08797836922096, 6.410501805971326])", "action": "('move', [32.09054195167045, 46.08797836922096, 6.410501805971326])", "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', [32.09054195167045, 46.08797836922096, 6.410501805971326])", "action": "('move', [32.09054195167045, 46.08797836922096, 6.410501805971326])", "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', [32.09054195167045, 46.08797836922096, 6.410501805971326])", "action": "('move', [32.09054195167045, 46.08797836922096, 6.410501805971326])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIhklEQVR4nO3dXahldR3H4d/ae59zZqKwJrEIMUcww4JiJG/0RlRIb0x0xnnRxhfmxqGYwCQRvRJBtBfB0gGREedNRkHGQoKMGK8GpEFH8EZMDghiL+Nbjdu991pd7I2VVDZdNJ39fZ7bcy4WLD5r/f+/tdY5Tdd1BWTonewDAP53BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM9/YzKpyeRkHwQnTvCcsMmk+v3q9zW/8gieE9O21e/X/ffX4cOaX3kEzwnouur16u672h07auNGza88Tdd1J/sYWAG6blb7PXdPbru9GSz0RqM655w6eLDOPnv2I/7/OUt8vK6ryaR6vbrv3vYHtzfV9Lquek23eXOtXVtdV01zsg+R/4zg+XjjcQ0Gdf9PJt+/tap6g4Uaj9s772jvvLMWBtU0gl8xLOn5GNOZ/M9+2n73O9VWbzCo0ai9/bburrv7bav2FUbw/DvT5frDD9f27d1o1PR6NZm0t97S3XNvf3ohYGURPP/SpK1+rx55pG6+uYbD6g9qMm6/t6O774f9Kvf2Fckenn+i62o0qn6vHn20tm+v4bAWF2syrh07ej/6cX86kFf7SuQOz0d1XY3HtbBQ+/Z227bVn//SLC3VcFjbt9cDD8x+Qe0rlOD5qOlM/skn2htvat55p1lcrA8+6LZtax58sPr9aluP3FcwwfMPpnfvgwe766+vY8eafr8mk+76rd1DO3uLi1VW8iucazV/M5lU09Qvft5t3docO9YsLNRk0l53XT34UG9pqUrtK5/gmRmNqt+vZ57pbriheeutWlqq0ajbvLnZubNZtaqmj9xZ6QTPbCa/sFDPPtvddFPz+z/UqtU1HHYb1tfOnc3q1bP3apkD9vDMpnTPPVfXXlvLyzWdyX/rim7Xo80pp5jSzRXBp5tO6Q4fro0b67XXamGhRqO6/PLusceaNWs8gZs3go82vXs//3xddVUtL89qv+yy2r271D6XrNVyjcfV69WRI3XNNbW8XKuWajSqSy+tXbtqzRpTuvkk+FDTffvRo7VpU736aq1eXe8P66KLateuOu00U7q5ZUmfaPqh28sv14YN3UsvNatW1fvv14UX1J69dcYZ5TO4OSb4ONOd+Suv1NVXty+80AwWmvGozv9Gt39/rT2rMZOfb4LPMq391d/VlVd0Lx6thYVmNKrzzusOHGjWrvUEbv45vUGmb84uL9f6q9oXj9bSUjMa1de/1u3b26xda98ewRlOMR5Xv1+vv14bNtRvj/RWr26Gw/rqV7o9e5uzvzR7r5a5J/gIbVuDQb3xxuyPyS8t1fHj9eVzusd217nnzr5+J4E9/Pyb7tvffLPWr28PHeoNBjUe11ln1YEDtW6dmXwWwc+5ae1//FNdfeXkN4d6g0EzHteZZ9aTT6o9kSX9PJu+Lff227VxffubQ72lpWY8rtNPbx9/vNatm+3qiSL4uTWdur/3Xm26ZvKrXzdLq5rhsL7w+Xb/vub882dv2pFG8PNp+j9e33u3tmyaPPPLZnGxGb5fnzu13b2nLriwUXsse/i59e673be3tE893QwGvfG4Tv1su39/XXxJz749mev8vJlewI8frxtv7J56ejal+8yn2/37mosvadQezpJ+DjVN3XJLPfHEbEr3qU+0e/fUxZc2pnQIfj5t2VJfPKOGw/rk6snuPfXNy3v27ZQ9/FyaPns/cqS2bq077qj1683kmRH8PPvw6zd/rIopwc+tD0+s1PmQPfzcmnaudv6e4OeZ2vkIwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQvwImjxFrA341/QAAAABJRU5ErkJggg==", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIhklEQVR4nO3dXahldR3H4d/ae59zZqKwJrEIMUcww4JiJG/0RlRIb0x0xnnRxhfmxqGYwCQRvRJBtBfB0gGREedNRkHGQoKMGK8GpEFH8EZMDghiL+Nbjdu991pd7I2VVDZdNJ39fZ7bcy4WLD5r/f+/tdY5Tdd1BWTonewDAP53BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM9/YzKpyeRkHwQnTvCcsMmk+v3q9zW/8gieE9O21e/X/ffX4cOaX3kEzwnouur16u672h07auNGza88Tdd1J/sYWAG6blb7PXdPbru9GSz0RqM655w6eLDOPnv2I/7/OUt8vK6ryaR6vbrv3vYHtzfV9Lquek23eXOtXVtdV01zsg+R/4zg+XjjcQ0Gdf9PJt+/tap6g4Uaj9s772jvvLMWBtU0gl8xLOn5GNOZ/M9+2n73O9VWbzCo0ai9/bburrv7bav2FUbw/DvT5frDD9f27d1o1PR6NZm0t97S3XNvf3ohYGURPP/SpK1+rx55pG6+uYbD6g9qMm6/t6O774f9Kvf2Fckenn+i62o0qn6vHn20tm+v4bAWF2syrh07ej/6cX86kFf7SuQOz0d1XY3HtbBQ+/Z227bVn//SLC3VcFjbt9cDD8x+Qe0rlOD5qOlM/skn2htvat55p1lcrA8+6LZtax58sPr9aluP3FcwwfMPpnfvgwe766+vY8eafr8mk+76rd1DO3uLi1VW8iucazV/M5lU09Qvft5t3docO9YsLNRk0l53XT34UG9pqUrtK5/gmRmNqt+vZ57pbriheeutWlqq0ajbvLnZubNZtaqmj9xZ6QTPbCa/sFDPPtvddFPz+z/UqtU1HHYb1tfOnc3q1bP3apkD9vDMpnTPPVfXXlvLyzWdyX/rim7Xo80pp5jSzRXBp5tO6Q4fro0b67XXamGhRqO6/PLusceaNWs8gZs3go82vXs//3xddVUtL89qv+yy2r271D6XrNVyjcfV69WRI3XNNbW8XKuWajSqSy+tXbtqzRpTuvkk+FDTffvRo7VpU736aq1eXe8P66KLateuOu00U7q5ZUmfaPqh28sv14YN3UsvNatW1fvv14UX1J69dcYZ5TO4OSb4ONOd+Suv1NVXty+80AwWmvGozv9Gt39/rT2rMZOfb4LPMq391d/VlVd0Lx6thYVmNKrzzusOHGjWrvUEbv45vUGmb84uL9f6q9oXj9bSUjMa1de/1u3b26xda98ewRlOMR5Xv1+vv14bNtRvj/RWr26Gw/rqV7o9e5uzvzR7r5a5J/gIbVuDQb3xxuyPyS8t1fHj9eVzusd217nnzr5+J4E9/Pyb7tvffLPWr28PHeoNBjUe11ln1YEDtW6dmXwWwc+5ae1//FNdfeXkN4d6g0EzHteZZ9aTT6o9kSX9PJu+Lff227VxffubQ72lpWY8rtNPbx9/vNatm+3qiSL4uTWdur/3Xm26ZvKrXzdLq5rhsL7w+Xb/vub882dv2pFG8PNp+j9e33u3tmyaPPPLZnGxGb5fnzu13b2nLriwUXsse/i59e673be3tE893QwGvfG4Tv1su39/XXxJz749mev8vJlewI8frxtv7J56ejal+8yn2/37mosvadQezpJ+DjVN3XJLPfHEbEr3qU+0e/fUxZc2pnQIfj5t2VJfPKOGw/rk6snuPfXNy3v27ZQ9/FyaPns/cqS2bq077qj1683kmRH8PPvw6zd/rIopwc+tD0+s1PmQPfzcmnaudv6e4OeZ2vkIwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQvwImjxFrA341/QAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIhklEQVR4nO3dXahldR3H4d/ae59zZqKwJrEIMUcww4JiJG/0RlRIb0x0xnnRxhfmxqGYwCQRvRJBtBfB0gGREedNRkHGQoKMGK8GpEFH8EZMDghiL+Nbjdu991pd7I2VVDZdNJ39fZ7bcy4WLD5r/f+/tdY5Tdd1BWTonewDAP53BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM9/YzKpyeRkHwQnTvCcsMmk+v3q9zW/8gieE9O21e/X/ffX4cOaX3kEzwnouur16u672h07auNGza88Tdd1J/sYWAG6blb7PXdPbru9GSz0RqM655w6eLDOPnv2I/7/OUt8vK6ryaR6vbrv3vYHtzfV9Lquek23eXOtXVtdV01zsg+R/4zg+XjjcQ0Gdf9PJt+/tap6g4Uaj9s772jvvLMWBtU0gl8xLOn5GNOZ/M9+2n73O9VWbzCo0ai9/bburrv7bav2FUbw/DvT5frDD9f27d1o1PR6NZm0t97S3XNvf3ohYGURPP/SpK1+rx55pG6+uYbD6g9qMm6/t6O774f9Kvf2Fckenn+i62o0qn6vHn20tm+v4bAWF2syrh07ej/6cX86kFf7SuQOz0d1XY3HtbBQ+/Z227bVn//SLC3VcFjbt9cDD8x+Qe0rlOD5qOlM/skn2htvat55p1lcrA8+6LZtax58sPr9aluP3FcwwfMPpnfvgwe766+vY8eafr8mk+76rd1DO3uLi1VW8iucazV/M5lU09Qvft5t3docO9YsLNRk0l53XT34UG9pqUrtK5/gmRmNqt+vZ57pbriheeutWlqq0ajbvLnZubNZtaqmj9xZ6QTPbCa/sFDPPtvddFPz+z/UqtU1HHYb1tfOnc3q1bP3apkD9vDMpnTPPVfXXlvLyzWdyX/rim7Xo80pp5jSzRXBp5tO6Q4fro0b67XXamGhRqO6/PLusceaNWs8gZs3go82vXs//3xddVUtL89qv+yy2r271D6XrNVyjcfV69WRI3XNNbW8XKuWajSqSy+tXbtqzRpTuvkk+FDTffvRo7VpU736aq1eXe8P66KLateuOu00U7q5ZUmfaPqh28sv14YN3UsvNatW1fvv14UX1J69dcYZ5TO4OSb4ONOd+Suv1NVXty+80AwWmvGozv9Gt39/rT2rMZOfb4LPMq391d/VlVd0Lx6thYVmNKrzzusOHGjWrvUEbv45vUGmb84uL9f6q9oXj9bSUjMa1de/1u3b26xda98ewRlOMR5Xv1+vv14bNtRvj/RWr26Gw/rqV7o9e5uzvzR7r5a5J/gIbVuDQb3xxuyPyS8t1fHj9eVzusd217nnzr5+J4E9/Pyb7tvffLPWr28PHeoNBjUe11ln1YEDtW6dmXwWwc+5ae1//FNdfeXkN4d6g0EzHteZZ9aTT6o9kSX9PJu+Lff227VxffubQ72lpWY8rtNPbx9/vNatm+3qiSL4uTWdur/3Xm26ZvKrXzdLq5rhsL7w+Xb/vub882dv2pFG8PNp+j9e33u3tmyaPPPLZnGxGb5fnzu13b2nLriwUXsse/i59e673be3tE893QwGvfG4Tv1su39/XXxJz749mev8vJlewI8frxtv7J56ejal+8yn2/37mosvadQezpJ+DjVN3XJLPfHEbEr3qU+0e/fUxZc2pnQIfj5t2VJfPKOGw/rk6snuPfXNy3v27ZQ9/FyaPns/cqS2bq077qj1683kmRH8PPvw6zd/rIopwc+tD0+s1PmQPfzcmnaudv6e4OeZ2vkIwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQvwImjxFrA341/QAAAABJRU5ErkJggg==", "image_next": "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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": "4d998012f7a6ccf18a05c47ac38b631d40342465ba7621afdc78ee7914c5acd5"} +{"episode": 33314, "episode_seed": 1260459658, "split": "train", "timestamp": "2025-09-15T23:18:25.468080", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1260459658, "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', [-0.4368147815689551, 13.620336088216646, 19.979171982409053])", "action": "('move', [-0.4368147815689551, 13.620336088216646, 19.979171982409053])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPElEQVR4nO3cX4hUZQPH8d85Z2Z3lW2TEsmwsDZBsNTKxYJWSSKjLJNKLSzYLqQMjCClLraCvAm66KIlaItqbRErkmpDQik1kPJiW4ksW0ShP0w3bX82XXdmznkvzml3i5ey3t5mzvy+H7yanV0ekO95nvOcZyZIkkQAPIS1HgCAfw/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YKtR4A6kOSKEkkKWQOaGQE7y1JFMeKYxUKWepJoiCo9bDw/xIk6XUdbuJY1arCUFGUvTI8rGJRc+fSfAMjeEtTk/78cw0OanBQb7+tBQu0Y4daWiTRfENiSW9g4po+0XAQaGhIe/fq44/16ac6ejR7fWREw8NauFDV6uTMjwZC8A0q3YQLguzfhDhWGOrxx/X88yqVJl/v7NSqVVq2TO3tShK27hoVwTeciU24tPM41s8/69AhDQ9r06Zstr/wQpVKOvtsdXTo1lu1cqXOP1/Tp9d24PgXEHxDmHpPHoYKQ42N6auvdOSI3ntPu3frxAm1tOiqq3TFFUoS3XabwlA33KDZs3/zd9L5H42L4PNs6kM1/Zrr8LD27tXBg/rgA33zTfbO6dPV0aHR0extM2aoqyv7C6n0ekHtjY7g8ym9RU8fqkVRtseWBr9vnzZtyt7W2qrly3X11brySi1ZopkzJSmKsitFGLIV74bg8yndijt1Snv2aGBAQ0N65x3NmiVJnZ26/HJdcIHWrNHChbr4Ys2Ykf3WxMo/CNiE98Rz+PqWrtijKAs1nZlHRvT++9q1SwcO6LvvVK1KUl+f7r47W6KPjGjaNE2blv2RajVbDrBit8cMX5fSY3BBMHniNV2BHz2qrVu1f79++il7Z1ub5sxRZ6fmz89eCQKdc46kyXU7kzl+RfD1J70hTzsvlXT4sJYuVVubJP3yi3bvVqWiOXM0f76WLNH11+vaayd/d2IhINbt+C9Y0teTiXvsr7/Whx/q0CF98on279eOHVq/XpJOnVJvr06e1IoV6uj4zTqfHTicAYKvG2nt5bK6uzUwoC+/VLmc/WjLFj311O97ThKVy9lagNRxZljS140gUKWiKNKxY/rsMxWLuvRS3Xyzbrxx8v5cUz7lFoZqaqrdcJFLzPD1pFJRoaA9e/TRR1q9WgsWcBOOfxbB172JHTjgf8aSvv5M/aCbSB3/JGZ4wAhHrwAjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4PMnSZQktR4E8ongc4nm8fcQfM5UqwoChaEkmsdfRvB5EseKIvX06NFHFQQKAprHX1Oo9QBwRtI1fBjqjTe0datOntT33+vZZ1UsKkkUBLUeH3IiSJgj8qBaVRjqyBFdd51KJbW0aGxM69apt1dnnaVqVVFU6yEiD1jS50MUKUk0b566u9XcrLExNTVp506tW6dSSVGkSqXWQ0QeMMPnSbp67+/XAw/oxx/V1KTxcXV26qWX1N6uSkUFbtHwhwg+Z+JYYah339XGjfr2WxUKqlS0aJFeeUWLFrG2x59gSZ8zYahKRTfdpJ07NW+eKhUVizp8WGvW6MABRZGq1VoPEXWM4POnUFC5rGuu0euva/Filctqbtbx41q7VgMDNI8/wpI+r9I79uPHtWGDDh7M9u1bW9Xbq/XrFcfZg3pgKmb4vCoUVK3qoou0a5dWrsz27UdHtWGDensVhopjjuXg9wg+x9JndbNm6bXXdPvtGh/PrgIbN+rpp7Of0jymIvh8S0/XtrVp+3bde68qFUWRokhbtqi7W2GoIFAc13qUqBsEn3tp0s3Neu45PfSQqlXFsZqatG2bNm9WpaIwZBsPGTbtGkS6S5ckevJJPfGEpOxYzj33qKdHra08oodE8I0k/Z8MAj3zjB55RKdPq1hUuazVq/XCC5o5k+ZB8A2qr08PPqgffsiO4i1frpdf1ty5NO+O4BtQWvVbb+m++1QqZfP84sXq69Nll3Hk3hrBN6ZyWcWi9u1TV5dOnFBzs06f1iWX6NVXtXQp87wvgm9MSaJqVYWChoZ055364ous+fPOU3+/VqygeVME38jSj9YdO6a1azU4mDXf2qr+ft1yS/alGhy/tcJz+EYWhkoStbdrYEDLlmX79qOjuuMObd+uKOL4rR2Cb3Dpw/nZs/Xmm1q1SuVytm/f1aWeHo7f2iH4xpcexTv3XPX36667VKlkhW/erG3bslU9zZsgeAvph+fa2vTii7r/fiVJdsD+scf08MMaH5f4lnsPbNoZSffwJI2OZl96HcfZhYCtOxME74UvsTfHkt4LtZsjeMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gPJiI9bfSUXDwAAAABJRU5ErkJggg==", "image_next": "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", "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', [-0.4368147815689551, 13.620336088216646, 19.979171982409053])", "action": "('move', [-0.4368147815689551, 13.620336088216646, 19.979171982409053])", "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', [-0.4368147815689551, 13.620336088216646, 19.979171982409053])", "action": "('move', [-0.4368147815689551, 13.620336088216646, 19.979171982409053])", "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": "b857b53216bc835ffe34473376ea98d03144a9a4f5c8adac830766d899f72e36"} +{"episode": 33315, "episode_seed": 2204356137, "split": "train", "timestamp": "2025-09-15T23:18:26.410866", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2204356137, "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', [2.0996434720833435, 0.2815316731097089, 15.840446684204323])", "action": "('move', [2.0996434720833435, 0.2815316731097089, 15.840446684204323])", "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', [2.0996434720833435, 0.2815316731097089, 15.840446684204323])", "action": "('move', [2.0996434720833435, 0.2815316731097089, 15.840446684204323])", "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', [2.0996434720833435, 0.2815316731097089, 15.840446684204323])", "action": "('move', [2.0996434720833435, 0.2815316731097089, 15.840446684204323])", "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": "b950764880346ddeb7a86f2b6f72803d400b7a5a3cd01698939bd9dde76922b1"} +{"episode": 33316, "episode_seed": 57896046, "split": "train", "timestamp": "2025-09-15T23:18:27.018707", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 57896046, "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', [-7.355088518476851, 5.062219657732502, -50.217140060614916])", "action": "('move', [-7.355088518476851, 5.062219657732502, -50.217140060614916])", "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', [-7.355088518476851, 5.062219657732502, -50.217140060614916])", "action": "('move', [-7.355088518476851, 5.062219657732502, -50.217140060614916])", "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', [-7.355088518476851, 5.062219657732502, -50.217140060614916])", "action": "('move', [-7.355088518476851, 5.062219657732502, -50.217140060614916])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHsklEQVR4nO3cwa9cZR3H4d85M3eaQAV2dqO7m0CCmrrRaxACC2hMFOuGiKtqBRtRg2yqmLJoWmRhxTQBGnAjYtSFRVfAwmiD3LCxMWEDXWAkJhBWFZM2d2bO62KupCENSNM49/b7PH/Bu/nM7z3ve850rbUCMvTLXgDw/yN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CLLk4Id5tbbcJUCQrm2B4Fqrrlv2IiDAMif8uXO1b9/w9tubtW+BXx64wi1zwk+nNZnU6mo98UTddltV1Xxeo9GylgNXvmVO+NZq5846c6b27KkjR9q/36nRqKbTJa4IrnDLnPAbG7VjR43HNR+qDcOdX+oOH65PfLKbz6vvPdXD5bfMCT8e1759NZtVG2plpf/9H7o772y//MV8NKqu80gPl98yg++6OnGiHn+sXXtNWzzPv/73/uvf6A4cGM6era6rYZA9XE5b4lru9On69oFh/eWu77uuq/m8dn9qeOzx7rNrXTnJg8tnyS/etFat1e7d9cc/9d+7r+3YUfN5TVbq9N/6W28Zjh9v5887yYPLZktM+HdfvPntb9qhQ/XqazVe6WbTqqq77qrDh2t1tWazWjzbA5dsSwS/sNi6v/ZqO3hwOPlsX9WtrNR0WtdfX0ePtr17u2rVSvNw6bZQ8FU1ndbKSp07V48/Vg/+qM6fr8mkNjbqqqvqwL3DkYf7HTs2j/FkD5dgawVfFxzRra/XPffUK69U39cwVFV97jPzE0+NbryxqmoYqvelH3xIWy6a0Whzhq+t1Ysv1v79m/1PJvXSy6Obbhp+/lRNp9X3NZstd6Ww/Wy54Ou/2/VhqGuvrSefrBMnho9/bL6xUZNJnT3b7//m8K17hzf+0cbjms1c1MOHsOW29BdqrYahRqM6/dfhhw92zz1Xfd/1o5pN26d315GjtWdP55Ee/ndbOviFxUnev96pn/20PfTQ0Gq0OL2/5iP1/Qfq0KHN93A1Dx9oGwRfF5zkvfDCcN993Zkz3Xhc83m1VnfcUceP1+rq5js8TvLgfWyPPkajGoYahrr99v7Uqe7uu9viNfvJpJ5/vm7+/PDrXw3VnOTBB9gewVdV32/ez+3aVc880z36aO36aC1O8t58q//q19r997e33qzxuKZTJ3lwcdtjS/8ei0v49fX6wcH251Ot7/vFJzdra+3HD9fNtzjJg4vbNhP+Qout+9pa/e5k98D9bRjafF6TSa2vd1/Z2479pFX5oh4uYltO+IX5rEbjqqpnT7bvfqe98c9uZaWbzaq1tn9/d+xY7dxZZc7DBbblhF8YjTf/IePLe7u/vNR/8QvzxVe0XdetrtbVV7urg/faxhN+4cLH9UceaceOdbfeWk8/XeOxWzp4r20f/MK7w3x9va67rm64wf/kwEVcIcEviBze3xUVfFXN59V1dvJwcVda8MD7MAohiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8AQNCfAmRFelUAAAAASUVORK5CYII=", "image_next": "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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": "5768d3323144c6a8d6fec81e5e6557abf2fcf0bc42cb93e43151223e41a99672"} +{"episode": 33317, "episode_seed": 1162930109, "split": "train", "timestamp": "2025-09-15T23:18:27.627111", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1162930109, "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', [7.485054192599637, -68.24535634514923, -44.75973771976905])", "action": "('move', [7.485054192599637, -68.24535634514923, -44.75973771976905])", "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', [7.485054192599637, -68.24535634514923, -44.75973771976905])", "action": "('move', [7.485054192599637, -68.24535634514923, -44.75973771976905])", "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', [7.485054192599637, -68.24535634514923, -44.75973771976905])", "action": "('move', [7.485054192599637, -68.24535634514923, -44.75973771976905])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKs0lEQVR4nO3dTWxUVQPG8efOnRYLtmlsCSoNonGBJiJMgiwISTGGJiYYRRKwEFS+TFy41JWJG1euXFeiEEjaJkoUDFJEJK7QFBoxRoOUVCw2pn6EgAIzc++7uLfTysdrMbzv7Z3n/wurtjSHxZ9z7jlnZoI4jgXAQyHrAQD4/yF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YyDr5SURxnOwTASBDPgOBqQwiCTMcB1LssZ/hyWa++qqEhBUH6R1IUMecD/ytZzvBXr2rOHM2apSVLtG2bnnxSc+em2VerklQoMOcDt1PGwTc3q1xOp/TWVnV3a906Pfyw5s2TpDhWpaIwVIG9ReB2yDL4SkWtrbp0SZIaGlStKookaflyPf20Vq7UihXpT5bLZA/cBhlv2n38sT77TPv26exZSSoWFQQqlyWprU2dnVq1Ss88o3vvlaQomnzUB/AvzIhd+tOnNTio3l59+GH6lTBMH+MlLVqkxx7Txo1avXryrySjJn7glmQcfKWiQiFdq1++rB9/VH+/du/W2bOqVCQpCNK2Z8/WwoXatEnd3eroUBhO/oYwpHxgWrKf4eM4Tbr2iF6t6uhR9fTo+HGNjKRfrJU/a5a6urR1q0oldXSk3y2XVShM/i8A4IayD77m+lX6+fPq7dXAgAYHNT4uScWioijd27v/fq1fryee0LJlammRpHJZQcCED9zUDAp+qjhWFE3O2EeP6uhRDQzo+HFJCgI1NOjqVUkqFLR6tTo71dWlJUvSn2d7D7ihGRp84ppz+PPnNTio/fvV16cLFyQpDCdv5t13n0olrV2rZ59VU9PffonY3gMkzfDgE3Gc7tgXi5JUqWh0VEeO6J139OWX6bemPuHPn6+uLu3YocWL/7YvEASc5MNdDoKvSSbz2jo/inTqlHp6dPCgRkd15Yo0pfww1LJl2rpVq1frnnvU0CAp3fnnIR+28hR84vol+l9/6f339cEHOnEi3dVPLuEnk39zszZs0Jo1KpU0f76kdNsvWS8AVvIX/FTJkV5tof711zp4UJ9/roGBdCe/sXHyrv6yZerq0uOPa9WqzAYMZCvfwSeSh/w4TtftFy7oq6905Ij6+3XmjDSxhk/W8+3tKpX01FPatk2zZimOWd7DSD0EX5O8/CbJXtJPP+nECe3cqU8+Sc/wkrbjWGvWqL9fd9xB8PBSV8Enkgm/9oherercOfX1afdujYykL87bu1fd3Yoi9u3hpQ6Dr7l+e+/TT/XuuxobU0+PHnhA1Sq3ceGlnoOvSf6Jte29K1dUKEyu/AEfFsHXcCAHc17BJ9iogy3HPStqhy3H4AFbBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMJLD4P0+3xq4XfIWfBTxac/Av5a34AsFlcuKoqzHAeRSfoKPY126pD17tH27hoYUx6pUsh4TkDPFrAcwbUGgixe1ZYvKZS1cqFKJtT1wq/Izw0uaN0+vvKIwVF+fRkYUhqpWsx4TkCf5CT55bt+8WY2N+v57HTokSYX8jB+YAfITTLKAX7RIGzYojvX22/r5ZwUBp3TA9OUq+GpVjY1av15NTbp8Wb/9lvWYgJwJ4hzNkHGsINAff+jwYS1frgULsh4QkDO5Cv4aUcQzPHBLchhMcgIfx9QO3KocNhMEKhYVRerp0YoVOnZMEnfvgOnI4ZI+GfCvv6pU0rlz2rxZ772nalXF/FwiAjKSzxk+jtXerq1bJWlgQENDCkNu2gL/KIfBSyoUFMd66SXddZfGxtTXpyDgpi3wj/IZvKQg0N136/nnJWnfPp05w01b4B/lNvg4Vhxr+3Y1Nen0aR04IIlJHvjvcht84sEHtWmTgkC7dml0NF3qA7iJ3AYfBIoiNTRo40ZFkU6e1PBw1mMCZro8H2UlF2+WLtVbb6mtTY88kvWAgJkuh+fw10gu2AOYhtwu6WuStT2H8MA05D94SYWCCgX98IPefFNffKE45nwOuKE8P8MnkkeSalVr1+rUKT33nFauzHpMwAyV/xm+tl2/bp2CQIcP6+RJbtoCN5T/4DWxXf/yy2pr0/i4du3KekDADFUXwSe79O3tevFFSTpwQN99p2KRJ3ngGnURvCZu2u7YodmzNTys/fuzHhAwE9VL8ImFC/XCC4pj9fZqbExhyE1bYKp6CT55kXyxqO5uNTXpxIn0jesBTJH/Y7ma5El+6VJt365yWaUSl/CAa+T/au31Ll7UnDnpcR1vjAFMUXfBM6sDN1dHS/pE7cOnLlzQ0JBaW7V4Me9pDSTqMYNkkn/9dXV26o03+Pw5oKZOg5fU0qIw1LFjGhzk7e6ARD0GH4aS9NprmjtXv/+unTuliZs5gLd6DF5SHKu5WVu2SNKhQ/rmm/TDagBvdRq8lL5x/Z13anhYH31E7YDqNvjk+L2jI/10mr179csvCkOyh7k6DV4THybd3a2WFn37rfbsyXpAQPbqN/jk+s2jj6qrSx0deughSZzGw1zd3bS73vi4/vxTCxZkPQ4gewbBA5hgsMTlBB6YUHd36a/Ha2mACQYzPIAJBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8B8ArouGxAlemAAAAAElFTkSuQmCC", "image_next": "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", "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": "13e0dc457b1d9b90e7d2cc8e373e2e5e88f89ef55d2a936bd0ab603d4fff9e5d"} +{"episode": 33318, "episode_seed": 2232519858, "split": "train", "timestamp": "2025-09-15T23:18:28.233942", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2232519858, "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', [7.13329007136466, -2.919552677634281, 49.38193650241411])", "action": "('move', [7.13329007136466, -2.919552677634281, 49.38193650241411])", "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', [7.13329007136466, -2.919552677634281, 49.38193650241411])", "action": "('move', [7.13329007136466, -2.919552677634281, 49.38193650241411])", "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', [7.13329007136466, -2.919552677634281, 49.38193650241411])", "action": "('move', [7.13329007136466, -2.919552677634281, 49.38193650241411])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKQUlEQVR4nO3dS4idZx3H8d+5JjPpJB00FKmCtiulVuiqq1qVomjBS0uiSBNKFhorKlVoIYqbGrRoQ6/GUG/VNqkaEbGKFUpxJYILS+mqFF3EWBXsJEwmM+fm4hxjlCrUzOSc6f/z4Wxmzsw572K+8zzvM+/zTmM0GgWooTntAwAuHsFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCZz2NRtM+Av4nwbNuRqM0GpqfaYJnHYxGGQzSaOTMmTQaGQ6nfUD8F4LnQo2H9FYrx4/nox/Ns8+m2TTOz6j2tA+ATa/RSJLjx3PbbXnxxTz/fH7yk1x55WSGz0wxwnNBxiP5ykoefDAvvpi5uTz7bD70ofzxj+b2s0jwXJBx1Vu25IEHcvXVWVnJ1q155pncdFNOnEizmcFg2ofIeQTPhWo2k+Qtb8mjj+bNb87Zs+l287vf5eab8+c/p9XS/AwRPOtgPJJfdVUeeyxXXpm1tXQ6+c1v/tW8uf2MaIwsp7JOBoO0Wnnmmbz//fnDH9LppNfLddfl+PG89rXW8GaCEZ51M569X311jh/P61+fXi/dbn796+zenaUla3gzQfCsp1Yr/X6uuSY//GFe97qsraXbzVNPZdeuLC9bw5s+wbPO2u0MBrn22hw7lp07J+fzTz6Z3btz6pQ1vCkTPOtvXPV11+UHP8jOnen10m7niSdyyy05dcp1eNMkeDbEuPnrr8+xY1lcTL+fdjs//Wn27cvZs4l9dVMieDbKuPl3vjNHj+aSS9Lvp9PJj36UW2/NcGhf3XQIng00XsN797tz9Gjm5tLrpdPJ44/n1lvtpZ0OwbOxxmt4N96YRx/N/Hz6/bRa+d73sm9fVleT+FvdRSV4NlyzmeEwH/xgHnkk27YlSauVb387n/pU1tYyHGr+4rE9lg3XaKTRyGCQm25Kr5e9ezMYpN3OkSPpdnPvvRmNXId3kQiei2R8Pv/hD2dtLXv3ptFIu50HHki3m699bdoHV4YpPRfP+Hx+z548/HBGo8n5/D335I47Jl9gDW+jCZ6LqtXKaJR9+3L4cDqdJGk2c/fdOXAgg0GGQ81vLMEzBaNRPvaxHDqUZjOtVprNHDyYu+5Ko5F+X/MbyPZYpmC8Stds5tCh3H57Op3J2P6lL+XOOydTfWt4G0HwTMdolOEwrVbuvjt33JFmM41Gms18+cu5/XaL9htF8EzN+Eev0chdd+ULX5gU3m7nnnvyyU/+61nWkXN4puZczJ//fL74xSRpt9Pr5dOfzuHDkxtmGI/WlxGeKTs3ez9wIAcPptud3CrnwQezb99ka61xfr0Inukbr+GNRrnzznz1q+l20+9nbi5f/3puuSWDweQMnwsneGbC+HL6fj+f+1zuvz/tdobDLCzkyJHs2mUNb90Inlkxrnp1NZ/5TA4fnmynX1jII4/kAx9Yv+bHc4mX1Xz1L2kJnhkyrrrXy/79+eY3Jze6np/P44/nxhsnt8GefN3533DuN8Fg8DJPnXu80kMZDidX/41fdm7un2+/iQme2TIcptnMykr27893v5tuN2trufTSHD2a97wn/bODVnPQaDYzfvwflpdz6lR6vaytpdebPM6eTa+Xt70ti4tJcuJEvvKVrKxkaSmnT+dvf8v8fA4dyjXXnPdbZ1OyW47ZMt48v3Vr7rsvq6s5dizdbpaWsmdvjj6Wd72rNUxrMlj3+zl9OvPz2bJl8uFzz+XkyfT7WVnJykrOnMmZM1laymWXZf/+yY31vv/9fOtbWV7O8nJOn87SUvr9yXs//XTe/vYkOXky99//n0d28mSy6ff3CJ6ZM759/cJCHnooa2v58Y/Tbuevfxnu2dP8zs0/u2H4i9HySmNlJaureemlfPazed/7kuTMmRw4kF/9KsNher1/e8XLL8/+/ZNd+C+8kN/+9t+e3bo127Zl5850u5PPXHZZ9u5Np5OFhWzblksuyfbteetbJwe3mQmeWTT+d3SLi3n44ayu5okn0m0M/vSn5pH7nr8+D3WSUTIZ52+4YRL8li156aXJfbPm57O4mB07smNH5uZy1VVJ0m4nye7dedObsmNHtm+fzA663XQ62bo1b3jD5O0vvzzf+EY6nZfJe5MH7xye2TU+nz91Kh/ZNfj5L1vvWPz9kSsOXvGav2fHYnP79ly6I/Pzee97c+21STIa5YUX0u9nYWGyC+/co9OZTPtfqfGS/viKv1fFBUCCZ6aNmz9xIvfeO/rEx0dvvGI0TOtCB9lzF/qcMy75/MX8c89u/sjPJ3hm3Sv4C/x/+2F+dUV7IQTPJjCeVrvA9sIJHgrZ3EuOwCsieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMg/APY9iX7yCfr8AAAAAElFTkSuQmCC", "image_next": "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", "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": "b600039b7cd53e1c66e861a8ae3bb7c749ad46d1059d6e91bba4222f94fab19e"} +{"episode": 33319, "episode_seed": 4073738218, "split": "train", "timestamp": "2025-09-15T23:18:29.172656", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4073738218, "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', [-10.360719303186924, -4.611377996862422, -43.43216353392918])", "action": "('move', [-10.360719303186924, -4.611377996862422, -43.43216353392918])", "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', [-10.360719303186924, -4.611377996862422, -43.43216353392918])", "action": "('move', [-10.360719303186924, -4.611377996862422, -43.43216353392918])", "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', [-10.360719303186924, -4.611377996862422, -43.43216353392918])", "action": "('move', [-10.360719303186924, -4.611377996862422, -43.43216353392918])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKIElEQVR4nO3dXYhmdQHH8d/MM7Mb1GolpHtRLhSVlcuaCKu2bkTqilQmvuBF9MpSIVHRdbddZrclGYX0wtpGG0liatuWE5qJFxbahqsLJrRh6l7MzlsXz2Fm3QzSdOfl9/kwF8t5zgwHZr/P/5z/Oc9/JpaWlgJ0mFztAwBOH8FDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcG3W1rKwkKWllb7ODgtplb7AFg1i4tZWMjkZEaj1T4UThcjfJ3xkD4/n8nJTE9nNMojj2R2drUPi9NC8C2WloaviYmMRpmayl/+km9+M9ddl2uuycGDwz5sbE7pN7LlwsdfY089lf37c+BAHnssTz45bLz99lx++bAzG9jEknf1DWdpKYuLSVYuzmdn88wzufPO/OhHeeihvPDCsMOyc8/N449nevp0HyqnmRF+4xh3vrCQTZuG1J9/PkeOZGYm+/bl7ruzsJDkRWP4pk0599ycf36uu+7UtwA2JCP8RrC4mMXF4eI8yexsHnwwDz6Ye+7Jr341TMiNRpmczNzc8C3bt+f978/u3bnqqpx99qodOaeZ4Nex5V/d8qD9+9/nnnsyM5OZmRw7Nrw0PZ0TJ4Yd3vOeXH55du7Mzp3Ztm3YOJ6xnzSBW0Dw68x4Hu6UOB96KD/9ae69N4cP55lnho2j0XAOn2Tbtlx7ba64Iu9614s6T6TeRfDrw/ikfTRaGcxnZ/PXv2bfvuzfnyeeyL/+deq3TE/nnHPy0Y/m+uvzvvflrLOG7eP78DrvJPg1bfm51+X582PH8uSTueuu/PjH+dOfho0TEyun91u2ZOvW7N6dG2/MZZe9aOJ9PC138i062gh+LRrPty8uruT6j3/kkUcyM5Nf/jK/+92wcWpq2C3J61+f7dtzwQW56qpceeWLOh//hkVOBL/WnPyoTJLjx3PvvTl0KDMzOXRouCafmsrExMp8+wc+kF27cskl2bUrZ545/JDFxUxOipxTCX71/ecIvLiYu+7KgQP54x/z5z/nueeGHUajYaYtyUUX5Zprcumlefe7V+6rnTgx3H6TOi9J8GvI7Gz+8If88If59a/z9NN54YVTdxiNct55ueGGXH11tm3Lm988bDffzv9I8Ktsbi7//Gceeyx33JH9+3P06Es88famN+Wtb81HPpIbbsh737vywOz41H1iQuf8rzxau2rm5zM1lfvuy969eeKJYeN4Hm7s7LPzznfm0kvzsY9l584Xfe/yVYCPsvOyCH6VTUzk2WczPZ2lpczPZ34+W7bkssuyc2d2786uXcNup9xRc4nOK+OUftWMG56byxVX5ODBbN6cD384V16ZCy/M9u15wxuSDO8C43k4+P8JfjUtLGQ0yve/n2efzZ492bo1W7YML83NDZNwBnNeRYJfZaesObG4ODwqr3NeC2XBv+RHT9aG8Xy7znlNlQU/Nr4s1hZ91uJY9xo6diyPPjo8mzoe7aFJWfC33JI9e3LzzTl8eOUEenzdDAWaTumffz7nn58jR5LkjW/Mtdfmy1/OeedlysMItGgKPsnjj+db38qdd+Zvf0uSqancdFM+85ns2JEzz1z5WLnLezaosuDHjhzJrbfmF7/Iww8PW7773Xz608NnSmNWjw2rLPjxCjLjc/gjR3LgQL73vRw+nJ//PLt2ZXFx+NzZpk3DzppnYykLfmy8evt4UZinnsrf/57t27NpUyYm8pvf5Gtfy/XX5/OfzxlnrOzvFjkbQmXwY+PVoU6esTtxIp/7XH7wgyR529vy2c9m796cc85qHSC86oqDHxt/hGX52bv77sstt+TQoWFV97POyhe+kJtuyjvekelpgzzrXX3wJ1u+aL///nz727n77hw9miRnnJGvfz1f/erw6vg638081iH/a08yvi23sJCLL87FF+eBB3LHHdm3L4cPZ25u5Y7dOHUX9qxDRviXsrCwskb0o4/m4MF8/OPDSpFHj+Yb38hFF+VTn1rZ33w+64Tg/7vxotDjRaTGy8eNRvnOd7J3b6ans2NHbr45N96YzZuHHTTPmlf2LP3LMhplNFr5y6zjib2tW3PhhZmYyAMP5JOfzI4dufXWPP202lkXjPAvx/Iw/pOf5Lbb8tvf5vjxJHn72/PFL+ZLXxou7+fnrS/J2iT4l+nkJTQOHMi+ffnZz/Lcc7nggtx/fzZvXnlT8Hwua4/gX5GTL+8PHcrtt+cTn8gllwy133Zb3vKWXH316h4j/CfBv1In/9Xl8T/Gs3oPP5w9e3L8eD74wXzlK/nQh8znsXYI/v+zPHu/7MSJzM5mYSFzc9myJa973eodHJxK8K8GYzjrhNtyrwa1s04IHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8G6OklJ1oSYW0AAAAAElFTkSuQmCC", "image_next": "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", "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": "48b00d74bcf2e1617ecb13914e14e307b1e06207642b775c56163913df683eba"} +{"episode": 33320, "episode_seed": 3881341903, "split": "train", "timestamp": "2025-09-15T23:18:29.777018", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3881341903, "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', [-1.942651269735454, 1.7933386261996198, -13.990838044368019])", "action": "('move', [-1.942651269735454, 1.7933386261996198, -13.990838044368019])", "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', [-1.942651269735454, 1.7933386261996198, -13.990838044368019])", "action": "('move', [-1.942651269735454, 1.7933386261996198, -13.990838044368019])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2ElEQVR4nO3cT4ikZ4HH8d9bXf1npnvUGKMwzqIGNCpCiMcFc1jZHHJQScTTCl7UoycdyEFhsmJOCiMe1L0IIugSENbNbfewaIwis7BzG2SCu0SQiDHOdHf1dHXVHqoz0w6TmMTgVM/v8+E9PFXVVbx1+L7P+z5V1cN8Pg/QYXS7dwD42xE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FFmm4OfzJJnNDgfAG22YL2Fds1mSjJbpYAR3hGWKaj7Pl7+cp5/OaJTRKPv7pnp4Yy1H8Isp/Ykn8vjjeeihPPZYnn02q6sZBs3DG2g5gl9497tz333Z3s7XvpZPfCLf/nam0wzD7d4tuHMs2TX8b36Tb30r3/xmJpMkeeKJnD2b+fzGVK9/+CssU/Cz2eFC3a9+lS99KRcu5Kc/zYc+dOP+JNNpVlZkD6/PMgWfI80fHOTSpbz//UkyDPnZz3L5cj72sbz5zdbw4XVbsuAXFufwi8FsluefzyOP5Oc/z8MP5wtfyEMPJcn+flZXb+9uwrGzlPPk9drn84xGmc3yvvclyVNP5eMfz+c/n0uXsrpqAR9eq6Wc4Y9azPaTSX7yk5w7l4sXk+Tee/O5z+WLX8xodON0APhLlj74HDnDf+GFnD+fb3wjL76YJA88kB/+MO997+GZ/zC4sIdXdhwKWXwmN5vlrrvyla/kF7/Io49mdTUvvJB3vCNJ5vOsrGQ0ynTqPB9ewXGY4a87+lH8976XM2fy0Y8ezv8XLuTuu/Oud+XgwFQPL+dYBb+wmO1XVpLk4CCjUS5fzsMPZ2srZ8/mU586vH/xB8ARx3AmHIasrGQ6zcHB4fT+zDO5dCkXLuTTn84nP5mLF9UOt3QMZ/ijFh/d7e7mmWfy2GP55S+T5J578tnP5uzZvOlN1vDhqOUNfrEAd73WvzyYTnP+fL7+9Tz3XJJ88IM5dy6PPnrjq/jKp97yBv9qzGaZzTKfZTafD6Mhqxl+/b95/Fz+9UfD7pU8+A/Df/5HkgwZRsl0NoxGGRK/waHVkgY/nebHP86LL+Ytb8n6ek6cyIkT2di4ebC2dtPzZoerEk8/le/8S/75qznzgWSezDLZycapxR8tVv2uv++j8b+aMRxfSxf84uczf/xjPvzhPPts1tayupq1tayvZ339cHDTzcW2uZmtrZzcmG+eONg8Mz65u7f51vXNjdnmPaPNi/+9+YPvbv7j32/90yMn335y8+TtfpNwmyxp8M89lwcfzOXLr/NFRpmO18fj0XxlnPH6ML56ZTz57Uo2xn/3zvH6eDzOeJy1tWxu5tSpbG3l1Kk/G29tHW6L8V135fRpC//cCca3ewdubW8vJ09mayvJ4Qdwh5frr+7oNMv42t782uJ6/UqSU1m9L7Pk/xaPHySzZEhWkptP1kejDMPhNh5nNsv99+fJJ3PmzJ/9MB+Oo6ULfnG1fPp0vv/9/OEP2dnJlSvZ3s72dq5ezdWr2d4+vOfq1ezuZn8/165lf//G9tLN4fo9BwfJ/vVDxZCsZG0ls2R6ix1Y/Nx+YXF8WVxWwB1gSYPf2Mj997+GZ+3uZmfn1ttLDw072/Odnez+/urkyX+fXHl+krdNHvjI5J53Tnbmk8kwmeSmbTrNdJokOzsZj2/sGxxfSxf8dYuZ9vo5/C0Hi2/ND8Phov3dd7/yS77U62c2cv7f8j+/vvbkf+29PXs7w2Qve3vZ2ztM/dq1w8H+fv70p5w+nVOnEsFz/C3dot1r9XJHhJe7mVFG4wzbe6Pf/Xa49z1/s/2EZXDsg389pgfz8UqSzObzYcjLn0QsxqORJXruEJXB58j/z4ImrcFDJVMcFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPl/f70s2HK5X3sAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2ElEQVR4nO3cT4ikZ4HH8d9bXf1npnvUGKMwzqIGNCpCiMcFc1jZHHJQScTTCl7UoycdyEFhsmJOCiMe1L0IIugSENbNbfewaIwis7BzG2SCu0SQiDHOdHf1dHXVHqoz0w6TmMTgVM/v8+E9PFXVVbx1+L7P+z5V1cN8Pg/QYXS7dwD42xE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FFmm4OfzJJnNDgfAG22YL2Fds1mSjJbpYAR3hGWKaj7Pl7+cp5/OaJTRKPv7pnp4Yy1H8Isp/Ykn8vjjeeihPPZYnn02q6sZBs3DG2g5gl9497tz333Z3s7XvpZPfCLf/nam0wzD7d4tuHMs2TX8b36Tb30r3/xmJpMkeeKJnD2b+fzGVK9/+CssU/Cz2eFC3a9+lS99KRcu5Kc/zYc+dOP+JNNpVlZkD6/PMgWfI80fHOTSpbz//UkyDPnZz3L5cj72sbz5zdbw4XVbsuAXFufwi8FsluefzyOP5Oc/z8MP5wtfyEMPJcn+flZXb+9uwrGzlPPk9drn84xGmc3yvvclyVNP5eMfz+c/n0uXsrpqAR9eq6Wc4Y9azPaTSX7yk5w7l4sXk+Tee/O5z+WLX8xodON0APhLlj74HDnDf+GFnD+fb3wjL76YJA88kB/+MO997+GZ/zC4sIdXdhwKWXwmN5vlrrvyla/kF7/Io49mdTUvvJB3vCNJ5vOsrGQ0ynTqPB9ewXGY4a87+lH8976XM2fy0Y8ezv8XLuTuu/Oud+XgwFQPL+dYBb+wmO1XVpLk4CCjUS5fzsMPZ2srZ8/mU586vH/xB8ARx3AmHIasrGQ6zcHB4fT+zDO5dCkXLuTTn84nP5mLF9UOt3QMZ/ijFh/d7e7mmWfy2GP55S+T5J578tnP5uzZvOlN1vDhqOUNfrEAd73WvzyYTnP+fL7+9Tz3XJJ88IM5dy6PPnrjq/jKp97yBv9qzGaZzTKfZTafD6Mhqxl+/b95/Fz+9UfD7pU8+A/Df/5HkgwZRsl0NoxGGRK/waHVkgY/nebHP86LL+Ytb8n6ek6cyIkT2di4ebC2dtPzZoerEk8/le/8S/75qznzgWSezDLZycapxR8tVv2uv++j8b+aMRxfSxf84uczf/xjPvzhPPts1tayupq1tayvZ339cHDTzcW2uZmtrZzcmG+eONg8Mz65u7f51vXNjdnmPaPNi/+9+YPvbv7j32/90yMn335y8+TtfpNwmyxp8M89lwcfzOXLr/NFRpmO18fj0XxlnPH6ML56ZTz57Uo2xn/3zvH6eDzOeJy1tWxu5tSpbG3l1Kk/G29tHW6L8V135fRpC//cCca3ewdubW8vJ09mayvJ4Qdwh5frr+7oNMv42t782uJ6/UqSU1m9L7Pk/xaPHySzZEhWkptP1kejDMPhNh5nNsv99+fJJ3PmzJ/9MB+Oo6ULfnG1fPp0vv/9/OEP2dnJlSvZ3s72dq5ezdWr2d4+vOfq1ezuZn8/165lf//G9tLN4fo9BwfJ/vVDxZCsZG0ls2R6ix1Y/Nx+YXF8WVxWwB1gSYPf2Mj997+GZ+3uZmfn1ttLDw072/Odnez+/urkyX+fXHl+krdNHvjI5J53Tnbmk8kwmeSmbTrNdJokOzsZj2/sGxxfSxf8dYuZ9vo5/C0Hi2/ND8Phov3dd7/yS77U62c2cv7f8j+/vvbkf+29PXs7w2Qve3vZ2ztM/dq1w8H+fv70p5w+nVOnEsFz/C3dot1r9XJHhJe7mVFG4wzbe6Pf/Xa49z1/s/2EZXDsg389pgfz8UqSzObzYcjLn0QsxqORJXruEJXB58j/z4ImrcFDJVMcFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPl/f70s2HK5X3sAAAAASUVORK5CYII=", "image_next": "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", "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', [-1.942651269735454, 1.7933386261996198, -13.990838044368019])", "action": "('move', [-1.942651269735454, 1.7933386261996198, -13.990838044368019])", "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": "fc6e3c767eee80e4ea08922427bf60c97ef6389892c57a5f6bf5b1e715b769cd"} +{"episode": 33321, "episode_seed": 3371547145, "split": "train", "timestamp": "2025-09-15T23:18:30.399040", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3371547145, "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', [-23.188649271481363, -55.57625833492202, -51.32249730979512])", "action": "('move', [-23.188649271481363, -55.57625833492202, -51.32249730979512])", "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', [-23.188649271481363, -55.57625833492202, -51.32249730979512])", "action": "('move', [-23.188649271481363, -55.57625833492202, -51.32249730979512])", "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', [-23.188649271481363, -55.57625833492202, -51.32249730979512])", "action": "('move', [-23.188649271481363, -55.57625833492202, -51.32249730979512])", "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": "c5436e6c02033caa5230fbdccd463667ff33a880992b0ea9ebf2dad65d853808"} +{"episode": 33322, "episode_seed": 3429336176, "split": "train", "timestamp": "2025-09-15T23:18:31.376494", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3429336176, "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', [-1.6307532805979605, 1.6405651764322344, -52.29560205558249])", "action": "('move', [-1.6307532805979605, 1.6405651764322344, -52.29560205558249])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIKklEQVR4nO3bzatUhR/H8c88WPZAJJQkRG3CyGhREPRIGEGLiFoKhdSiCIIg+heCCNq1CsxNLiIig1pGrUQwQmwRQWARJT1sepLCufee32ImTX/9+pl6vVc+rxezODNz5t5zxfd8z5xzZjQMQ4AO47XeAOD8ETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwXmmHIyspab8SFarrWGwCnbRiSZDTKaLTWm3KhMuG5EPw19cOH8/bbScz5M2DCcyEYjXL0aA4ezGuv5b33Mh5n27Zs25aVlYwNrX9B8Kw/KytZXs54nMkkSWaz7N6d3btz4MBihWuvzaefZtu2xeTntI0G/2SsH/PUN2xY3B2GjEb55Zdcf31++ilJ7r0327dnx47cdNPabeUFTPCsD8c/pSf55pvs3p3rrssTT2R5OZNJdu3KRx/l0UfzwAPZtCmJnfkzI3jWk/378/rr2bcvn3+eG2/Mhx9my5YMQ44dy2iUiy9Oktksk4naz4zP8KyFv87nlZX8+mv27s2uXTl0KL/9liSXXpqbb87SUkajDEM2bkySpaWMxyd2+Pn3THjOo/k1M8OQ6TT5M/s338wLL+TIkcU6W7fm4Yfz1FO58caTXpg4/X72THjOi2HI8nJGo8WB9+++y1VXLZY3b86RI9m0Kffck4ceyuOP57LLTn251M8RE55VNgyLg+3zaPfty969+fjjvPxy7rhjMeRfeSW33Zb771+sP39Q5KtA8JwXx45lz57s3ZsDB/LDD0ny+ON5443MZplOF22vrGRlJZOJ1FePXXrOqfl8Ho0yHi8+eH/5ZXbvzltv5YsvFutcc00eeyxPPplkkffS0mJ56j/k6jLhOUeGIUtLJ43r0Sg//ZTt23PoUJJcfnluuSU7d2bHjlx55Zpuay9vqJy145fHzU+YffJJVlZy++2ZzbJpU7Zvz++/5667snNntm8/8ar5B3vOLxOeszA/9j7fDz96NO+/nw8+yN69ueKKfPbZ4jqZb7/NH3/khhuSP7/f5pqZtWPCcxZGo0ynOXw4e/bkgw+yb98i6ek0X3+drVszDLn22iSZzU58GYa1I3jOyPzM2cGDefHFHDiQb75ZPH7rrXn66Tz4YLZsSZLRaPEW4PK49UHwnJF58F99lXfeSZKrr8599+XZZ3PnnYs9+ePswK8nPsNzRuaH3H7+Oc8/n02b8txzuf76E8/6Ktt6JXjOkfl5OAfe1ze79Jyd45fHGekXAhMeinhXhiKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyLTtd4AWL+G4X/ePeWpfzAane5qp7nm2RgNp7/hwAXOhIeTfPhh9u/PRRdlMsl0mun01IXjd+fLk0nG48VtNPqb5dNZWF7O5s259NIMw+rOecHDwjy2d9/Nq6+eg582Hp94Rzh+m07/5vFLLsnRo3nppTzySJaXM13NKAUPJ9mwIZPJiTE7X/iHqTsaZRgWH+n/upBkNsuxY///N85/wvffn3jh6hE8nOSii7JxY8bjzGZZWspstuq/cTLJ0lLG5+WMmYN2cJLff88ffyQ5aWgPQ5aXF28By8uLN4KlpRO32Wzx+PGn/rraPy8PQ378Mc88k7vvzvJyJpNV/OsED0Xs0sOp1mQInoeT8BE8/Lfz096acGktFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPkPmPa72P6ltu4AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [-1.6307532805979605, 1.6405651764322344, -52.29560205558249])", "action": "('move', [-1.6307532805979605, 1.6405651764322344, -52.29560205558249])", "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', [-1.6307532805979605, 1.6405651764322344, -52.29560205558249])", "action": "('move', [-1.6307532805979605, 1.6405651764322344, -52.29560205558249])", "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": "886dadbeff200295ee80031ea8be3de6d1a3d95f2f8c8a2709cf3ff2998f5de5"} +{"episode": 33323, "episode_seed": 1977889751, "split": "train", "timestamp": "2025-09-15T23:18:31.990216", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1977889751, "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', [-0.1868763590857259, -2.858297365090373, 40.22137891539737])", "action": "('move', [-0.1868763590857259, -2.858297365090373, 40.22137891539737])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKNklEQVR4nO3dT4ycd33H8c8z4zV2HP9r1nKIYy+H2FhKqaOUgBCoojWRIViKBAcOSM0ZiRPqvVIPXHqg4tATh4pbyIUWEQFR/gGCKFFQLB+w2zTx2ruJvUYgxyHYuzvz9PA8WSdRodlxszvm+3odVrNj7+jZ1bz1+z2/55nnadq2DVDDYLM3ANg4godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoZMtmb8Cfg7bNaJQkg0GaJk2z2RsEf0TTtu1mbwOwQYzwN6Vt0zRZXMxPfpJduzI3l8OHs3t3/zxMG8HflPE4w2Feeinf+EaWl7NnT7797Xz5yxmNssWflunjXXlTuv2hxcW8+WZWVzMY5LbbNnub4I+zSn9TuuAXFrK6mqbJ7GzuvjuJ+TxTSvA3ZW2E7x7v2JE770wEz7QS/OTaNoNBkvzmN/0zt9+eO+7IeNw/D9PGG/OmbNmSa9dy5Ur/7d69GQz6Y/IwhQQ/uW4+v7SU3/2uf6bbgYepJfjJvSf4psnBg/0DmE6Cn1wX/OXLffAzMzl0KBE8U0zwN+vy5fz+90mydWs/wsPUEvzkxuMkuXy5H+q3bu334S3RM7W8Nyc3HCbJpUv9tzMzRnimneAn1LYZDtO2N4LfuTO33Zbx2D4800vwN+WNN7K01D/+yEc2c0vg/RD8hLr99itXbozwluiZfoKf0FrwFy/2zxjhmX6CvylXrmRpqR/V5+Y2e2vg/yL4Ca2N8GvXuhA800/wE+oOtq/N52NKz61A8BPqgr9wIUnG4+zYkdnZxKId003wk+jm86ur/aUvRqMcOtSfhwPTTPCTu3YtCwv947k5V63kFiD4yb0z+EOHBM8tQPCT+8MfMj/f78xboueWIPjJvfVWrl7tB/buNDuYcoKf3OuvJ28vy3fBdx+Yhakl+El0kc/PJ29H3h2Tgykn+MmdO5ckKyuZnXXDGW4Ngp9cN8InOXiwD95ZN0w5wSfjcdZ/z+y2vRH8gQPZvv3/eaPggyD4ZDBI06w3+/E458/3j++6y5SeW0Ph4Lu8V1Zy+nSuXOmzf9+Wl7O42J9Oe+BAf7krU3qmXPngz53LV7+ao0fzla/ku9/N4mKWl28M9W2b1dWMRu8c/NduILm83Bd+4EASd5jiFlA++IsX8+qruXgx3/teHnkk99yTkyfz618n6a9HuWVLhsM0TVZWsrq6Vv65c2nb/pjcvn2b9TvA+hQ+/7s7J/b++/P97+fpp/Piizl7Nq++mhdf7P+pabK0lB/9KB//eI4ezcxM/4PXV7JlcH5+2NW+bVv27Nmc3wDWq3Dw3XR8x44cP57jx5Pk1Kk89VR27crhw/1/eOyxfP3rOXo0x47l/vvzyU/mU59qP7S1SeYv9C+zf38fvPtPMP0KB9/p5uXjcYbDHDuWY8f6J7uvly9nOMyZMzlzJo8+mtnZHDnS/tV9Ofm382dPJtuSdt++Zu9fvP1S3Xzf2h3TqmnXfwj6z9Na+YNBv/jetrl6Na+9ll/+Mo8/nief7O4aOUqG99792dELz/7nnRm3n/98Hnu0vX3XoE360Lvlu3Uu+8MGEPz79sYbefbZPP746Mc/Hj702SP/8a//deFDSfPI7n//t7/+l/b4iZx4sDl4MPv26ZypJfg/qfvjvCPgNmlWVq4svPmXf7N3YWE5g63/MP6nf84/riQzST72sXzuc/n0p3PkSA4fzrZt/Y91B/a61X7YPOX34f+09/TZtu2obWZmzr+199q1JMO07b6H/y5HFtonTuWl53P6dE6fzre+lYMH8+CD+c53+ldYu97d6mo/1Vc+m0Hw69E0bdOkbRfP5/r1JhkOB7nz7z+TL32meXk+/30mv/pVnnkmP/1pLlzI6dNpmoxGGQ7z1FO5eDEnTuSOO971gs7OY2MJfn3aNmmahcVcv54kO3dm/7ZRVtPcM5d75nLiRL72tVy6lF/8or93dLf+/81v5plnMjeXe+/NF76Qhx7qr4mldjaW4Nen26l/7bWMRhkMsnt39t81zJa2WRmnGWc4zJ492bMnH/1okozHmZnJ1atpmmzblldeySuv5Ac/yPbtOXYsX/xiTp7MffcZ59kwgl+fLvizZ/tDb7t2Zf/+JE0zbPozb9o2bds/7r7u3JknnsgLL+SHP8zPf56XX878fJ57Ls89lyefzNNP99N+zfPBE/z6dFV++MM5ciSvv569ezM7++4R+n9dkGvbPPBAHnggSc6cyc9+luefz6lTefjhd70ufMAclpvEb3+bpaVcupTt2/OJT7y/KXl3Vk9y4/r1CwvZvv29y3jwQRL8hhuNbnwODzaW4CfRnYbbDewT3lKu29V3QJ6NJXgoxEc6oRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/A+YSzflzTc3/AAAAABJRU5ErkJggg==", "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', [-0.1868763590857259, -2.858297365090373, 40.22137891539737])", "action": "('move', [-0.1868763590857259, -2.858297365090373, 40.22137891539737])", "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', [-0.1868763590857259, -2.858297365090373, 40.22137891539737])", "action": "('move', [-0.1868763590857259, -2.858297365090373, 40.22137891539737])", "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": "30e57fd4eb6d86d0a3138d0499eb95c74353079c6e28575c6edef2998a567987"} +{"episode": 33324, "episode_seed": 3261152509, "split": "train", "timestamp": "2025-09-15T23:18:32.597568", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3261152509, "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', [-2.85956444732102, -4.615969541950533, 5.941101196565209])", "action": "('move', [-2.85956444732102, -4.615969541950533, 5.941101196565209])", "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', [-2.85956444732102, -4.615969541950533, 5.941101196565209])", "action": "('move', [-2.85956444732102, -4.615969541950533, 5.941101196565209])", "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', [-2.85956444732102, -4.615969541950533, 5.941101196565209])", "action": "('move', [-2.85956444732102, -4.615969541950533, 5.941101196565209])", "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": "8878eed9bba7e09c880712e8f458a890774595fb9c0de4770782977bbdd66c0e"} +{"episode": 33325, "episode_seed": 1151217627, "split": "train", "timestamp": "2025-09-15T23:18:33.205378", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1151217627, "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', [-13.32981297899025, 17.690938437260083, -21.981047505815315])", "action": "('move', [-13.32981297899025, 17.690938437260083, -21.981047505815315])", "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', [-13.32981297899025, 17.690938437260083, -21.981047505815315])", "action": "('move', [-13.32981297899025, 17.690938437260083, -21.981047505815315])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKpElEQVR4nO3cX2iV9QPH8c9zztlWG4tpCc10kGHYZn8YiJSQlBcFhf1D6qKbLhrZX+ewNIcLK4NVGN5UaAWKJmIR3QVddNXSggqbs7l/6nJLVKKgze2c5+nieTxz/vz9ZD/bztk+7xfnQj2Hw6Pu/Xy/z/f5nhNEUSQAHlKFPgAAU4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCN5bFCmKCn0QmDoE72dkZCzyIFAQjHs2DJXLKQw5EcxIQcT/q49sVpmMHn5YBw5o+XLV1qquTrW1mjdPlZWXeH0cf3xSSKUuPjVgGiJ4G1GkINBff2n5cv3447inWlu1bp0khaF++UXDw5o7V7NmqaLi0m8VhpKUYno4/WQKfQCYWqmUNmzQDz9oYEAnTmhwUEeOaNGi5NnTp/XkkzpyRPX1qqnRTTeppkbz52vePNXUaPbssTeRlMslJ5H8A0WPEd7Y2bMaHNTRo7r7blVVKQh0+LAee0xHjox7WVmZqqv16KN6913lckqn1durTEbz51/m/ePTAYoJwfvJZhWGSqeVTo/9YRzn8LD6+jQwoKNH1d6ujg4dOqTBQUlqaNCHH2pkRKWleuIJHTyoOXN0441avFi1tVq8WAsX/te88/cC4hdwFigcgncVRxg/0ulLRBhFGh7WuXM6fVqHDmnBAt1+ezLC19aqo2PciysqVFGhRx7R22+rslJRpGxWQ0MqL1eGy8YiQvAY77ILclGkb7/VTz/p8GF1dOj333X2rP78U3//rRUr9NVXyXr+++/rvfd01126+WbV1qqmRlVVyYMRvnA4+2K8i1K/8I59/hfLlmnZsuS3Q0P69Vf19KitTfX1SqeTe/jffKPOTnV2jr3VwoVasECLFum111RVNcl/DVwaIzwmLk46/sm55Iw9ivT11/r+e/X2qqdH3d06dix5qrxcXV2qrmZJryAIHlcmipL+w1Cp1MX9h6HOnEke/f36+WfNnq3nntPVVxfocN0RPCZHfJf+P8f/eNkPBULwmEz5mX88gWdzXqERPGCEMy5ghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBw1oUKQwLfRBTiODhK5dTECiVkuSSPcHDVDardFqSdu3Sxx8rlVIuV+hjmnyZQh8AMNXiaXwmo6NH1dqqHTtUVaWlS1VXp2xWmRndBCM8vESRgkDptHbu1MqV2rFDZWX64w+98IJOnVIqpSgq9CFOphl9NgMuEIZKpRQEGhxUU5P279fIiEpLde6cMhndeaeuuUZBUOijnGRBNLNPaIAURcrllMkom9UXX6ixUf39CoJkMK+r07ZtuvfeQh/llGBKjxkuDBVFymTU06PVq7Vqlfr7VVqqKFJlpV58Ud9951K7GOExs+VyyVL87t3avFmdncpkFIYKQy1dquZmPfigdP7C3gHBY8aKMz5xQs3N2rVLUaTSUo2MSNIrr+ill1RdrdFRZTIutYvgMfPEP9Fxw3v2qKVFXV1KpZKtNbfeqq1btWKFJI2OqqSkcAdaCASPGSU/hz95UuvX69NPlc0mA3tZmVavVkuLqqoURYqiZI+dFYLHzBGP2GGozz/XunXq61Mmo1xOUaQ77tBbb+n++6XxUwA3BI+ZIN48l06rq0utrdq+XVIysF91lZ55Rps2adas5Fa8M4LHtJfPeM8ebdmi9nZlMsm99yVL1NKiBx6QLpjtOyN4TGP522kDA1q/Xnv3JpvnRkYUBGpqUmOj5s5VLpfssQPBY1rKz+GjSJ99pqYmHT+e7ISPItXWatu2ZCl+xn8eZkK8L2gwPcWfY02n9dtvevpprVql48eT5bqKCj3/vA4cSGqPPxWHPEZ4TDP5EXvfPm3cqK6uZJwPQ9XXq6VFK1dKTpvnJoTgMZ3E63PHjun11/XRR9L5pfhUSmvWaN06XX89c/j/heAxPeRH7N279eab6ugYu2K/7Ta1tuq++ySu2C+H4FHs8nfdTp3Syy9r716dO6eSEo2OKgi0Zo1efVXXXee7eW5CCB7FK/859lxOX36ptWvV1zd2xV5Xp3feSTbPhaGCgIv2yyN4FKn4c+zptHp71dqqDz6Qzl+xl5frqaf0xhvJrni57pP9PxA8ilF+V9y+fdq8We3tYwP7kiXauFEPPSSJrbITRvAoLvkRe2BAzc3auXPs426SGhvV1KQbbki+ZJqBfaIIHsVo/36tX6/u7rGB/ZZbtHUrS/FXivkQikU89Jw8qYYGPf64urtVUqJcTqWlevZZtbUltbN57krwL4diEe+N/+QTbd+eLLmPjqquTlu2jG2ek7hovyJM6VFEokhDQ7rnHh08qNJSNTRo0ybNmcPi3L+G4FF02tq0YYPWrk0Gdq7Y/0UEj+ISb6E9c0bXXpt87SRj+7+I4FF04ub51orJQPAoRny4dZIwW0IxovZJQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/AIej8bnxeE+PAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [-13.32981297899025, 17.690938437260083, -21.981047505815315])", "action": "('move', [-13.32981297899025, 17.690938437260083, -21.981047505815315])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHQ0lEQVR4nO3bUU9UZx7H8f+ZGaGtIYsG00ZtE4OaCgzpXvSyaUz6JvpC+ra87nXfwEYEdl2mbVyUNnEtmk2lInPOXgwFRNM12Rapv88nE0JOJmfOhPk+z3nOHJqu6wrI0HvTBwCcHMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkMGbPgBO1Hi8/0vT7D+I0nRd96aPgRPSdb9V+NEPgoHgbWWGjzAeV79fX39dX31Vw6V2YaFZGjbLy3XlSvV+XdUdi7xt9weIyXZDwNtB8BEmua6t1dpara/3uq4GgxoMaubs+MaNWv5rf3lYy8v10Uf17rv13ns1NXU4EEzs7VXXVa9nLfDn5pT+7TeZqHd368sv69atX7c21e8dLuknBoNaWOgWFprFxbpxoy5dbOfmmvNzzflzx3f4/Pl+9gdDAH8KZvgUbVs3b1ZV3b9fm5vdDz+043Gvar/Ufr/6/WrbWllpVlYm27qq7sqVZv5qXZ2v+fn68MPDx9TU4Z6P9j8ZAji1zPBZuq62tmprq+7/q9180BuNamOjNjbq229feNpgUL1ejcfHTwHef78uXqxLl+rSxfbqfHft4/71a3X9evX7x1/lGKcAp4Tgg+ztVb9/vL0nT2p7ux4/rs3NWl2t9fVavd2ur3e74xci7vWqbY9u6Kq6mZne7GydO1cfXBgvDpvFYW9xoYbDOnv21QfQdftjgVXAmyL4LJPkDsIbvLSk29urZ89qZ6f7/vtmZaVWV2vlb3vrd5uff+7v7tbu7itm78mOq5rBoKamanq6Ll+u5eUaDms4rKWlmv1LN/1OMz39B783XoPgo03++Acfgd9Yfo9G+/P/nTvtd9/1trdre7uePO6e73VH79dsmpdHhO7yB+OlT/oLC81wWNeudefPN3NzdeHC7/1meA2C5xWOfShePv3+8cf650aN7nZ3/9Heu9/b2mq2turBg/rllxeedmaqqqvne1WHO2xnZpovvmhu3aq2dYXvpAme13J0LdA0x6/STS4BbG52m5vNvXs1GtVoVKO74/88bQ7m/6apM2eqaerZs/rss/rmm/3bgThJvpbjtRy7zDa5D2/ys9er2dmana3hcP8ZOzv16FE9etg8/HezMaq1tfr7enfn9vjhT71J/59+ur9PTpgZnv/X0cm/66rfP36i3rb19GntPO1+2m7W1+v27fr887p583/c288fQfD8/g6+BTi4G5dTQvCcBP+Kd0pYw3MSRH5K+FYEgggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwXbbhjyZ7oZ58AAAAASUVORK5CYII=", "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": "e2a3bfdfb06a67205279ee84973d100c3791a97191e31fea1247aaffa262dafb"} +{"episode": 33326, "episode_seed": 268695872, "split": "train", "timestamp": "2025-09-15T23:18:34.155331", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 268695872, "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', [-5.790905148970771, -2.938206142836576, 54.201405461635865])", "action": "('move', [-5.790905148970771, -2.938206142836576, 54.201405461635865])", "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', [-5.790905148970771, -2.938206142836576, 54.201405461635865])", "action": "('move', [-5.790905148970771, -2.938206142836576, 54.201405461635865])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALNklEQVR4nO3dTYhV5QPH8d85584IBuLLLHRlzkIKrEQXKtqEWUZGkRRajUZtwsJKw3xroFWkmIllFCQFWSAtolEHEgOzKZOhWbjIl8iFWlRToTajTHPPObfFOfr3j6kzeufeuf6+n5Uw4D2L+73Pc8/znOcGpVJJADyE1b4AAJVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjB16Q0VRxX+yJQg4JSqVTta8DAlEoKAkmKY0VR/m+gPxjha0xW+w8/aOdOFQoKAvGJjf4j+NoTx1q6VI89ppUrdfo0zWMACtW+AAxAHKtQ0Lp1+uorRZE2bFCa6o038uCZ2+OqGOFrRpKoUFB7uzZvztseN04PPaRS6X/f6oErI/jakKaKInV365VX9OefqqtTkmjlSjU15X8C+oPga0A2Y09TrV+v9nZFkfr69MADevFFasfAsCxXA7IZ+759evBB9fYqjtXQoAMHNGGCxFd3DAQjfA0IAv39t557Tt3dSlOVStq4UY2N+Z+A/iP4oS5JJGntWh06lH91f+opPfGE0rTaV4YaxJR+SEsSRZFaW7VggZJESaLGRu3Zo8ZGpalCPq4xQLxlhq4kURjq55+1YoX6+hSGuukmrV+vxsb8T8BA8a4ZorKJVxzr1Vf100+KIhWLevxxzZ+vOKZ2XCOm9ENUNpnfvl1PP600VV+fJk7Ut99q9GhJBI9rRPBDUfb9/NgxzZ6tkyfzlfa2Nt13H1/dcV147wxRpZLWrtXJk/md+eXLqR1lwAg/5GTbbN5/X888oyhSkmjKFO3dqxEj2DOP60XwQ0s2hh85olmzdOqUwlAjRmjHDs2cSe0oAyaIQ0iWdBxr2TL99ZfCUHGs55/X9OkcaIXyIHgpTfPtbNUWxwoCbdqk3btVX6841t13a9UqhaHCkOEdZWA/pR8yE+VsHW7/fs2frz/+UBBo1Cjt3KkZM/I/AdfPfoQPAp0+rc5O9fZW8Sqyr+5nz6qlRV1dqqtTmmr1as2YkZ9UCZSFcfDZ0ydHj+qRR3TPPTpyRFJVTofLJhlBoI0btXdv/rj73Ll66SWVSipwChnKxzj4rO1iUYcP6/Rp7dkjVe1x0yDQd99pw4Z8bG9o0Ntv558CQBkZBx9FSlNNmqQFCxQE2rZNfX1VuZAg0LlzevZZ9fTkB9StX6+JEzmLFuVnHLzOz+qbmlRfr0OH1NkpVXpWn623rVmjgwdVV6c4VnOzFi9WmjK8o/y8g88G+bvu0m23KUn05psVfv3sINq2Nm3dmj8Pd/PNamnJv7cTPMrO+45Qts1lzBjNnaso0pQplXzxJFEQ6Jdf9PLLOndOdXWqr9drr+mWW/Lz54GyYx2+JEldXUpTjRtXyZctlZQkeuEFvfdevmf+ySf1wQfcmccgsg/+YhXc4JK91Gefqbk5f9x9wgR1dKihYehsBcINiOAlnb97F4bq6cnn1oPZXJb0iRNqatLx4/mdhLY23X8/tWNwed+0uyDbrf7WW5o2TZs2KQhULA7eq2WfsatW6fjx/HH3ZcuoHZVA8BdpbdWhQ/r6a509qygapPW5bBfthx9q+/b8zvwdd6ilhVV3VALBSzo/5i5fLkn796uzU2E4GCe/Z6vrhw9rzZp8I92oUdq0SaNHM7yjEgj+ItOmafx4nTmj9nZJZf/h9Szp7KmY339XFCmOtWSJmppULFI7KoHgJZ3f49LQoEcflaRdu9TVpTAsb/DZwvuWLdqxI99UN3OmWloUhooigkclEPx52Wx73jwVCjpwQIcPl/e/zzbVdXZq3ToFgZJEI0dqwwYNH87RlKgc3mj/7/bbNX266urU2lrGEEslhaF6e7V6tX77TYWC0lSrVmnGDH7vGRVF8OeFoZJEDQ26914Vi/rkE3V3S+V5lia7P7d5s778UoWCikXNmaMVK/IPAqBi2MN5kWy/67x56uvTrFkaPlwqwyMs2b26jg6tXZvvsRkzRps3q1BgKQ6Vxk67S1yYyV/YflcOZ86opUVbtkjSu+9qyRJOqkMVEPzVlHV9/OOP1dmp11/XsGESD8Ci4gj+Elnhp07p4EFFke68k9vouGHwPr5ENpN/5x3Nnq2lS/NN9WX6WCyVBmP/HtBfBH8Z48YpinTypA4cKOM22yBgroBq4t13iexO2uLFGjtWp07p888lMS7jxkDw/6VUUn29Hn5Ykr75Rl1d+V4ZoMYR/OUtWqQg0MGDam/Pn3oBahzBX97kyZo8Wf/8o337lCR8+cYNgDfxf8kejB02TIsWSdKuXTp2bJCekAcqieAvI1uNnzNHhYJ6enTuXLUvCCgDNt5cUU+PjhzRhAkaOZKfaMcNgOD7J/vRZoJHjSP4q7l4Lz3nzqHG8XjsFWW76H/8Udu26ddftXVrtS8IuC6M8FeU/cjbp59q4UJJ+v57TZ3KOI/axV36K8rW3puaNGmSokgffSSxzRY1jOCvKAxVLGrsWE2friTRF1+ot7fsp9kCFUPwV5M9S9PcrLo6nTih1lZJSpLqXhRwbQj+arLxfNYs3XqrenvV1pYfSQnUIILvh+wX27PfqOjo0LFj+WGUQK0h+H7Ibt01N0vS0aPavVtiVo+axDp8v40fr4UL1d2tqVMlceIsahHr8P3G8jtqH1P6fsuemU0S1uRQuxjhASOM8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkXoXz1cfo68hoAAAAASUVORK5CYII=", "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', [-5.790905148970771, -2.938206142836576, 54.201405461635865])", "action": "('move', [-5.790905148970771, -2.938206142836576, 54.201405461635865])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIZElEQVR4nO3d3atc1R3H4d/ac6JRa7WCpBcR6gtYlaDVtphQG21Mpc1FJPSFUmvof+M/0QbaKilFC1aMbQwxqJW+iGJri6aCkl6o9eIoCQlkZq9ezLGiRGOoepj5Ps/lXC0O8zlr7bXX3tN67wVkGNZ7AMBnR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQJD343td7BPAZSg++taqq48drNlvvocCnLzr4t9+uxx6rPXtqy5Z69dWqqnFc5yHBp2plvQewPnqv1urIkdq9e+2Tp5+uq69em/BhWUXP8LfeWlds7sNQVbXvZ+P8vwAssdDgW6ve67LL6gc/bONYk0k99XQdPVplG4+lFhp8VY1jrazUt3eOVWNVTWfDA/drnSWXG/x89X7jTcO2bcM4Vmv16/2jvXqWW27ww1DTaW3aVDt39t57Vb12bHLoUFW5RcfSyg2+quY7dDu+VZd9oXqvkydr//4+v7yHpRQd/LBSs1l97evtlq+u7c4/80x7442aTNyQZzlFB9+qxrE2bqw776z5zblXXqkDB6o1q3qWU3TwVTWZVO+1Z09t2lRVdfp0HTxYY1/7HJZMevDDUONY11xTN3+lV1Vr9eST/e8vdJM8Syk9+Hr3/tzevdVataGOHetPPVWtOXXHEhL82tX7d3a1L14+62NVDQcOtOPHbd2xhAS/5nMX1d17ht5rslKPH5r966greJaQ4Kuqeq/e6969raoPrU6dmjz2+1bvTv6wNHyj17RWN9zQb76xT6fVWv3qF+OJE+s9JvikCb7q3YfnLr64/eieofe+slIv/rM9//zazA9LQ/Br5mHfcUf//MV9NqvW2r6fdxv1LBnBr5m3fd117fY7hnGs3uvRA+2dd8rRepaJ4Ne0VtNpXXhh3XVXVdUw1Jtv1sMPV3nRHUtE8O+ZT/K3315XXVW912xW+/ev95jgEyX498yP2V5/fW3duraMf+65euklJ3BYHoJ/z//Oz+/cWRs3VlW9/np/6MGxvBKDZSH491lZqd5r9+664opeVePYjhxpJ054eI4lIfj3mU/yl15a27+x1vef/lzP/mUcBpM8y0DwHzQM1Xvds3c4//yaTGp1tQ4faV5Zz3IQ/AcNQ7VW27fX1V+azWZV1R75Xb35Rrd1xxIQ/BnML9d/fO+kqiYr9ddn+99eWOchwSdC8B/q+9/rkzZrVdWGRx5t0+naah8Wl+DPYH65fuWVbcedw3RaQ6sH7u+rq+s8Kvj/Cf7M5m/C+MneVlWTSf3nrfbEE6Z3Fp7gz2y+Lb9ta23aVKdPV1Xt2+dFdyw8wZ/Z/CG5zZvr7rurqoahDh+uY/+u8vOyLDLBn9n8BM5559WOHTWZVFWdOlUP/LL37uYcC0zwH2q+et+6tbZsqfkT8g/9ts9X9SZ5FpTgP9RkUtNpbd5c22+bVfWqevnoMH9lvUmeBSX4s/vuruGSS1pVra72B38za6264FlMgv8o8+O0t32zXXftPPH25B8nq6u1ssGqnoUk+I8y37q74ILasaOGobdW/3ixP/6Hsaqm0/UeHJw7wZ/FykpV1T17h4sualV18mQdfqJ1Py/LYhL8Wcy36L58bd1y06yqWmuHDtVrr3Xn6llEgj+7+f25e3866b02bqyXXq6DB5vaWUSC/7h2764NG/rJk3X55e2tt6p3D8+xeFr3nf14xrHuu69WV2vXrtq2rTZsKK/BYeEI/uOa/50UzkIT/DmY/zpFVU0mymchCf4cWMOz6GzanQO1s+gED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+C1n3qfEOpWeGAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIZElEQVR4nO3d3atc1R3H4d/ac6JRa7WCpBcR6gtYlaDVtphQG21Mpc1FJPSFUmvof+M/0QbaKilFC1aMbQwxqJW+iGJri6aCkl6o9eIoCQlkZq9ezLGiRGOoepj5Ps/lXC0O8zlr7bXX3tN67wVkGNZ7AMBnR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQJD343td7BPAZSg++taqq48drNlvvocCnLzr4t9+uxx6rPXtqy5Z69dWqqnFc5yHBp2plvQewPnqv1urIkdq9e+2Tp5+uq69em/BhWUXP8LfeWlds7sNQVbXvZ+P8vwAssdDgW6ve67LL6gc/bONYk0k99XQdPVplG4+lFhp8VY1jrazUt3eOVWNVTWfDA/drnSWXG/x89X7jTcO2bcM4Vmv16/2jvXqWW27ww1DTaW3aVDt39t57Vb12bHLoUFW5RcfSyg2+quY7dDu+VZd9oXqvkydr//4+v7yHpRQd/LBSs1l97evtlq+u7c4/80x7442aTNyQZzlFB9+qxrE2bqw776z5zblXXqkDB6o1q3qWU3TwVTWZVO+1Z09t2lRVdfp0HTxYY1/7HJZMevDDUONY11xTN3+lV1Vr9eST/e8vdJM8Syk9+Hr3/tzevdVataGOHetPPVWtOXXHEhL82tX7d3a1L14+62NVDQcOtOPHbd2xhAS/5nMX1d17ht5rslKPH5r966greJaQ4Kuqeq/e6969raoPrU6dmjz2+1bvTv6wNHyj17RWN9zQb76xT6fVWv3qF+OJE+s9JvikCb7q3YfnLr64/eieofe+slIv/rM9//zazA9LQ/Br5mHfcUf//MV9NqvW2r6fdxv1LBnBr5m3fd117fY7hnGs3uvRA+2dd8rRepaJ4Ne0VtNpXXhh3XVXVdUw1Jtv1sMPV3nRHUtE8O+ZT/K3315XXVW912xW+/ev95jgEyX498yP2V5/fW3duraMf+65euklJ3BYHoJ/z//Oz+/cWRs3VlW9/np/6MGxvBKDZSH491lZqd5r9+664opeVePYjhxpJ054eI4lIfj3mU/yl15a27+x1vef/lzP/mUcBpM8y0DwHzQM1Xvds3c4//yaTGp1tQ4faV5Zz3IQ/AcNQ7VW27fX1V+azWZV1R75Xb35Rrd1xxIQ/BnML9d/fO+kqiYr9ddn+99eWOchwSdC8B/q+9/rkzZrVdWGRx5t0+naah8Wl+DPYH65fuWVbcedw3RaQ6sH7u+rq+s8Kvj/Cf7M5m/C+MneVlWTSf3nrfbEE6Z3Fp7gz2y+Lb9ta23aVKdPV1Xt2+dFdyw8wZ/Z/CG5zZvr7rurqoahDh+uY/+u8vOyLDLBn9n8BM5559WOHTWZVFWdOlUP/LL37uYcC0zwH2q+et+6tbZsqfkT8g/9ts9X9SZ5FpTgP9RkUtNpbd5c22+bVfWqevnoMH9lvUmeBSX4s/vuruGSS1pVra72B38za6264FlMgv8o8+O0t32zXXftPPH25B8nq6u1ssGqnoUk+I8y37q74ILasaOGobdW/3ixP/6Hsaqm0/UeHJw7wZ/FykpV1T17h4sualV18mQdfqJ1Py/LYhL8Wcy36L58bd1y06yqWmuHDtVrr3Xn6llEgj+7+f25e3866b02bqyXXq6DB5vaWUSC/7h2764NG/rJk3X55e2tt6p3D8+xeFr3nf14xrHuu69WV2vXrtq2rTZsKK/BYeEI/uOa/50UzkIT/DmY/zpFVU0mymchCf4cWMOz6GzanQO1s+gED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+C1n3qfEOpWeGAAAAAElFTkSuQmCC", "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": "9f1e22c1d45d1663b22f2a9f41f2a3c1554e2908a98603c658b809e1ed563a99"} +{"episode": 33327, "episode_seed": 1321722906, "split": "train", "timestamp": "2025-09-15T23:18:34.759012", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1321722906, "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', [-66.4380490367094, 86.39535228996488, 28.56412083122196])", "action": "('move', [-66.4380490367094, 86.39535228996488, 28.56412083122196])", "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', [-66.4380490367094, 86.39535228996488, 28.56412083122196])", "action": "('move', [-66.4380490367094, 86.39535228996488, 28.56412083122196])", "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', [-66.4380490367094, 86.39535228996488, 28.56412083122196])", "action": "('move', [-66.4380490367094, 86.39535228996488, 28.56412083122196])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKO0lEQVR4nO3dy69VZ8HH8d85BxA1rQY5pQmNIpcql0rrAeWikBKDznTm1LkD/wJH/gPOOjCNU6MDjSNiicSG0FJAlBZqkGpMCVhSCZVqgXPZ72Dvl93Di29rb1x+n0/OZK+198pOzvnu51nP2idrYjAYBOgweaffAPDRETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwfmoWFLCzc6TfBIkvu9Bvg/jIYjDtfuvROvxtuNTEYDO70e+B+MRhkYmL88JVXMjeXDRsyaSJ5tzDC8196+wjx9ryHD197Lc89lxdeyIsv5uzZbNqUp5/OihVZWJD93UDwvDvDufrExK3dDkf1ubksWZKf/zw/+EGuXMm1a6O9r7+ev/89K1Z89O+X2xI8/8FgkMFgnPfERKamkmRuLleu5PLlnDqVZ5/NuXP5yU+yenWSfPrTuXo1S5dm9ep86Uv52teye3fWr09ieL9LCJ7FhktuCwtZsmRRpa+/npdeyl/+kuPHc+xYjh8f7/rTn0bBz8zk6afzyCPZtevW2T53B8Hzv4P58OR8amrc+cWLWblytNh+5Ei+/e1Fr1q7Nhs3ZsOGPPzw6LWf+Uy++93RAefnMzEx+uGuIfhKwz5vpvj2LM+dy7FjOXEiL76Yqan8+Md59NEkozF83brMzOTLX86mTVmzJmvW5IEHFh12eJ5/c/7PXcZluQ43x/DJyUVD7nDJ7fz5HDqUw4dz/HguXsylS5mfHz3hl7/Md76T+fnMzub06UxPZ+XKfOIT4yPMzWVy0in6vcIIf7+bn89gkCVLxp3PzuaNN/Kvf+VznxsF/+tf5/vfH7/kwQezalV27MjOnfnKV5JkYiLLl2dmZvSEmzP2ycks8Sd0L/Hbut8Np9ZvvZULF3LhQs6cydGj+d3v8s9/5qWX8tBDSbJzZ9aty8qV2bw5u3Zlx45s3rzoIMMBfDhdTzIxofN7lCn9/WvY54kTOXAgp0/nj3/Myy+P937yk/nVr/KNb2RhIYNBzp7Nxo3jvcP5vyW3+47P6fvX3FyWLcvBg/nhD8cbt2zJ44/n8cfzxS9m69Yko5n5xo1ZWMj8/Ogk/5ZTfe4Xgr9/DSfzu3Zlz56sXZu9e7N5c1atykMPZfny8dOGYQ9T9+8u9ztT+vvd/HyuX8+yZYvOuocreVNThvE2gq9x86s1zsyLCR6K+L4EFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE875c7G9xD3FuO92tiIrOzoztQThpB7m7uPMP7MjubycnRfSuHD5V/NzPC8x4tLGRyMs89l6eeyqOPZvv2bNuWhx8e743b2N19BM97NLz9/IED+dnPkuTBB7NmTdavz44defLJbNt26/NvTiV9BNxBpvS8F4PBaITfvz8HD2ZqKvPz470rVmR6Ort2Zf/+PPlkpqcXzfAXFjIYjAZ/8X/EBM97MSz2zTfzox/lF7/IG2/k8uXbP3PZsszM5JvfzL59WbcuK1Zk+fLRroWFzM+PTviV/9EQPB+Ao0dz6FCOHs0rr+Svf82bb462Dxfzbg7+q1Zl377s2ZMtW/L5z2f16vERbtwYlW+170MleN6XhYVFM/MLF3LsWH7/+5w6lZMn87e/jbZPTWVqKjdujB/OzGTbtmzdmq1b88QTWbZstGv46WDM/5AIng/AwsLozHzp0tGW69dz9mz+/OecOJFnn82RI6N1+yRLl2ZubryGt3p1NmzI5s3ZvTtf/3oeeeTWgw+fqf8PhOD5IP3f8pP84x+5dCknT+aZZ3LwYM6fv/1rP/7xTE9nzZrs3ZtvfSvbty86SFzq+yAIng/FcBl/MMiSJYs2XruWl1/OM8/kwIGcOZOrV/PWW7d5+bJlWbEie/Zk//7s3Zvp6XzqU+O98/MZDEbTfvH/VwTPh24wGF+He7srV3LoUA4dyvHjOX8+r7463nXLdb6Zmezbl927s359PvvZPPDAaPv8/OjqoHP+d0nwfNSGf3HDIfqmP/whzz+fkydz+nROncrVq6Ptw1n97Ozo4fR0du7M9u157LE89ljWrl10WM2/I8Fzxwyn/cMh+ua38S9dypkzOX06L7yQI0dy7txo+9RUJifH5U9NZdOmfOELeeKJ7N6dr341y5dr/p0JnjvvZvkTE+Nz/hs3cvFiXn01R47kN7/J4cO5fn20a3JyvOafZOXKbN2ap57Khg2jjw/+E8FzdxmWnyxa7bt2LVeu5NixHDiQgwdz4UL+/e9FzW/ZkmPH8rGPJS7g/b8Ez11quNSX3GbEPnMmBw/mt7/N2bN57bVcvpzvfS8//WlmZ2+9ksctBM+94bb/bHf1ag4fzvPPZ+/e7NtnPv/OBM+957YX+Xk3BM89bDAYXYofflefdyR4KOKMB4oIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8D2lScln+AxeMAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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": "f28e7dddc065da63472e1bbb949c9dc852968346d2663cabb7a7d733d94072c5"} +{"episode": 33328, "episode_seed": 1395246433, "split": "train", "timestamp": "2025-09-15T23:18:35.363994", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1395246433, "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', [1.3490412824176732, 1.1249001233219793, -6.867438391127924])", "action": "('move', [1.3490412824176732, 1.1249001233219793, -6.867438391127924])", "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', [1.3490412824176732, 1.1249001233219793, -6.867438391127924])", "action": "('move', [1.3490412824176732, 1.1249001233219793, -6.867438391127924])", "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', [1.3490412824176732, 1.1249001233219793, -6.867438391127924])", "action": "('move', [1.3490412824176732, 1.1249001233219793, -6.867438391127924])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJF0lEQVR4nO3dS49bdwHG4dfOZVINSUgmaQINWRTRe6U2lFIJlsAKCdZIiAUbFpXgY7CvugSJj8AWVpWqXqVWrVr1hiIiNGWm5EqY0gkZm4WtcS7TCFKYifM+j46OLM+xdTzS79xs/z0Yj8cBOgx3egWA7SN4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ47iLjcUajjMc7vR53rsHYf4d599lnGQyysLD1X8fjDAbbu0J3LsEz/555JoNBvvOdPPNMHnooR47k8OHs3Ttb4OrVjMcZDjMYZFh9VCt45twnn+TYsevuOXUqv/51vv/9jEYZDvPPf+aee2Z//de/kmQ4nPZfZvdOrwDcrsmx+p49+c1v8t570+n06bzxRhYXk2QwyNmz+dWvsrSUxx7LI4/k0Ufz5S/v8GrvKHt47haXLmV5OWfO5C9/yc9+lj17Mhzm97/Pj388XeDee/O1r+XkyZw6lVOn8vTTOXJkizP8zSLuxv2/4Jlz43GuXs1wmF27brx/MMhbb+V3v8uLL+btt7O+PvvrwkKefz4//3muXs1gkPPnc+hQdt90wHvXXfATPHeL8Xg63XxyvrGRixfz+ut55ZW88kreey/jcX7723zve0myuprHHsuhQ/nud/Ptb+db38rx4zl4cHpesPnkGxtJpk8+t1sBwdNnbS0ffZSvfz379yfJm2/m1KnrFjh5Mk89lSefzI9+lMcfv/HhGxvZ2Jhe9pu3a/6Cp8bmIcANB/+rq/nDH/Lhh/nww3zwQd5/f3bw/9xzefbZJPn00/zxjxkM8sQTOXly9tjRKMkcZS94+kyyv/nIfGMjZ87kzJmcPp133smbb+a556Z7+HffzQ9+kPPn8+CDOXEiDz6Yb34zTz6Zhx/ekVdw2wRPvcllvyR79szuHI1y4UIOHMiuXRkO8+qr+eEPc/bsbIHhMEeP5siRPPtsfvGLebm853146k3ezM81x/xJdu3K0tJsmaeeyunT+eCDvPxyXnopr7+ev/0tq6tZXc2VKzuz2rfFHh62MuniFjvt99/Pa6/l1Vfzy1/mgQfmZQ8vePiPTWLZ8vx/Tggebsvke7ijUXbvnqP4BQ9F5ub9Q+CLEzwUETwUETwU8cEbdsDmx1tuuLw9P1e755Wr9NxBRqPpt1Em5d885wsSPNttfT0vvJCjR7O4mH37ZtO1o07eYDTKxsZ1H3iZ3LAt+G8Jnu32pz/lG99Ikt27c+xY7r33uvnRozl0KAcOTKf9+3PgwHWDUN7g6tWMRltvBWwIbuYcnu0z2UWvrGTfvulX1JaXs7y8xZJ79+bw4Rw+nEOHsrQ0u33kSJaWsrQ0HYp6aelW24LJEDWb2d98o5Dg2W5//nM++2yL+ydjxg+HGY1y5UpWVrKyssViCwvZvz9f+tJsOngwx4/n2LHpfHLj+PHP/WWKZg7p2W6XLuWjj7K8nL/+NR9/PJ1//HGWl3Px4uwj6rdhz54sLGTv3uzdm4WF7NuXY8dy33356len01e+kvvuy/Hj2bdv3genu02CZ+dN3qUbjbK2NtsKLC/PNgerq1lfz/p6rlzJlStZX5+OWPFf2TzDn3zV/cSJLC3lpz/NT37yf3hJdyqH9Gy3m8d9n3Q4HObgwRw8mIce2uJRa2vT8SZWV7OyMp2vrOTy5Vy+nH/8YzZ93oAUm+PZbmxMn2E0ytNP/x9e4R1M8Gy3Wx9Fb24ONr97PrG4mPvvz/33b/GQtbWcOzebzp7NuXO5cGE2P38+58/nwoXrjgsmz3zixBd+PXNF8NxZPu9a+uaH864dh2oyAu3iYhYXrxtLdtOnn+bSpVy+nL//PZcv59KlXLyYTz7J6mrOncvp09NBKOdkuJr/AefwzLcttwKTgG89MsX6etbWsn//dUNX3vUEz13r2pOCa+dz+PsR/zOCp9Fd/YORt+IcnkZtnW9qPbKBSoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8GQNMopz3iE40AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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": "fdf660ce35012c08d55b6c33abdffef8afc6867bc63ad281a98a66d7651bbfa4"} +{"episode": 33329, "episode_seed": 334282548, "split": "train", "timestamp": "2025-09-15T23:18:36.307293", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 334282548, "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', [-2.633126774282571, 0.008262488777919009, -32.73291662366364])", "action": "('move', [-2.633126774282571, 0.008262488777919009, -32.73291662366364])", "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', [-2.633126774282571, 0.008262488777919009, -32.73291662366364])", "action": "('move', [-2.633126774282571, 0.008262488777919009, -32.73291662366364])", "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', [-2.633126774282571, 0.008262488777919009, -32.73291662366364])", "action": "('move', [-2.633126774282571, 0.008262488777919009, -32.73291662366364])", "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": "dcaf1b36fcd2ccda771abab5a4d7c0238821e4a3ccb43be46156a28be696cadc"} +{"episode": 33330, "episode_seed": 500417756, "split": "train", "timestamp": "2025-09-15T23:18:36.917839", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 500417756, "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', [3.566074469913111, -5.892933191749999, -2.6756102826649433])", "action": "('move', [3.566074469913111, -5.892933191749999, -2.6756102826649433])", "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', [3.566074469913111, -5.892933191749999, -2.6756102826649433])", "action": "('move', [3.566074469913111, -5.892933191749999, -2.6756102826649433])", "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', [3.566074469913111, -5.892933191749999, -2.6756102826649433])", "action": "('move', [3.566074469913111, -5.892933191749999, -2.6756102826649433])", "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": "5528b53623cf25601bd6bb33acb8c80de9cf7b4e63ed618a2def7335a9d9bc07"} +{"episode": 33331, "episode_seed": 3776218132, "split": "train", "timestamp": "2025-09-15T23:18:37.525597", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3776218132, "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', [71.12706364820635, -16.363198866596843, 23.067776533952042])", "action": "('move', [71.12706364820635, -16.363198866596843, 23.067776533952042])", "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', [71.12706364820635, -16.363198866596843, 23.067776533952042])", "action": "('move', [71.12706364820635, -16.363198866596843, 23.067776533952042])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKkklEQVR4nO3dfYhVZQLH8d85984dazTW7I+xgSl7T1MU08EiN6TCDHpZItiglvWPEsMy28xYhRL/UBo3djWRIoigyK1MKkrclKyU2Ywo7EWc7GVTolHHFIqdueecZ/84d+8dy62sHWfm/r4fRIa5c+8cL37P85znnntuFEIQAA/xQG8AgBOH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRuow+BC+/wWAXL0FH4KiSFkmqfYFgFxdBR+CskzlspYs0Zo1yjLFsZJkoDcLGDSKA70B/08hqFDQs8+qvV29vdq5U4sXq6VF5bIaGgZ644BBIAr1cqSbj+ednZo2TQcPqrFRPT2aMkXLl2vGjMrxfBQN9FYCA6p+pvT5EfuoUbrtNsWxenrU2KgdO3TTTWpvVxRxSA/U0Qjf18aNmjtXn32mYrFyDH/99Vq9Wi0tCkEhKK6fHR1wHOot+HyVXtJXX2nuXG3YIKmS/RlnaO1azZwpSUmiYl0tXwA/S72NdHntIWj0aL3wglas0KhRShKVSvriC82apQce0OHDKhZVLg/0tgInXL2N8FXVqfvrr+u++/T22yoWlWXKMl11lR56SBMmVNb5AB91+/89X6VLEl1+udav1+23K0mUZWpo0KZNuvZaPflkpfY63eMBx1C3I3xVfriepnrqKd15pw4fVkODymWVSpo9W+3tampSllV2EEB9q//gpdrUfedOzZmj7dsVx4oipammTNGaNbr44spZeoXCQG8r0J/qdkrfVxxXeh4/Xps3a8EClUpKU5VK2rFDM2bokUeUpioUOA8Xdc5ihK+qvmj33HNatEh79tReqL/lFi1bptZWpYkKhUxiio865BW8pBCUpioW9fHHWrxY69criipj+/jxWr5cs2Ypf0aivvfJsQvAEGcXfC5fyfv2W61apSVLlCT5ufdhxIjoT7MP/vmyNwsXnJmNmxj1zR4Y+kyDlyoH7ZK2bNEdd2jXLjUUlSRpUHR14R+ri/PPat6fXXq1pk+PL2nT6NM1fLiGDTvq/vliYBTxaj6GCt/gpdpb6Lq6dPfdevppSSoWlKRq0b/+pjt+p5clpVLhzDN1ySW6915NnFhbCajKz9qL40r/wGBlHXyu2u+qVVq2TF1damgI5SSStLD010UXvDDys23JkaQoqaNDbW0KQQcO6Ikn1NyssWN13nkaMaL2cJy+h0GM4CXVXoTv6NDChXrzTRXiECkkxfi35x146Pf/nNLcGd7/PGpfqUKkONbzz+vGGyWptVVnn62zztKECZo8WZMnHzXt7/vcMvJjMAgIIYSQZaFcDiGE/fvDvHlBClJWinql0Hx+ePTvIYQ0hJD1JiGE8OKLYerUEMf5z1X+jBoVxo4N69eHECqP9UNpGtI0ZNmJ+UcB38MIf5R8JS8ErVun+fP19dcqFrIkzWJFf/hj4S8r9ZuRCkFK06jn3/rmG73zjrZv1xtvaPdudXersVEbNmjmTIWgI0d0662aPFmXXaZx4zRihE466Ri/ktN6cQIR/PdVD+k7OzVnjrZsURQpjpRmYcKEaM0aXXqplK/k9b3boUPaulX79unmmzVypCS99pquvLJya1OT2to0bZra2tTaqjFjdMoptd+UZUqSypofx//oTwR/bHmM5bIefFAPP6zvvlOppN5enXyyli7VvHkqlZQmoXbufd8hOr9zR4dWrdKnn2rPHu3fX7s1ivTSS7rmGoWgJNHhwzrttNqtacpSP/oPwf9P1bn2K6/onnu0a1ftPNwbbtDKlRozps8rdPn77/O34PfNtatLu3ers1MffaQPPtC776qrS1u3avp0SfrkEy1YoKYmjRun8eM1aZJaWyuPRvPoBwT/Y6qr959/rvvv1zPPSP+9YNY556i9XdddV/mxY+SZX22j75W0uru1d68OHdKkSRo+XHGsV1/VrFmVW5uadPrpOvdcrVihiy7i5T30B4L/afl5uL29WrtWCxeqp6cyvR82TPPna+nSH73ofZbVdht9A853El9+qXXr1NGhbdvU3a3eXo0erc2bdeGFBI/+QPA/S7W+t97SvHl6773aBbOuuEKrV+v8839qGp4/z/nfPyw5SfThh9q4UcOGac4cNTYyq0d/IPjjkGff3a1Fi/TYY5IqF88ZOVKbN2vSJCLFYMek8TjEsbJMp56qRx/V44+ruVnlsgoFtbQcdXLtL5S/cZfPykB/YoQ/btVD8vff1113qaNDmzZp+nQOujEEEPwvUb2Kxr592rtXU6dWvs98HoMcwf9yDOkYcgj+V+FDaTG08AFrvwqpY2hhSgoYIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8B6duZRA/FliUAAAAAElFTkSuQmCC", "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', [71.12706364820635, -16.363198866596843, 23.067776533952042])", "action": "('move', [71.12706364820635, -16.363198866596843, 23.067776533952042])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHnklEQVR4nO3b729VhR3H8e85t0XZII4soBLYotKKc3FQNvlRZcsSfepz45/pI5+4ARZSkLJsY+0g2WIE48oCMiK63p6zB7f2UiRbllFa93m9ctIH9557c3KS9/2eX236vi8gQ7vVGwA8OYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIBNbvQHby+pqVVXbVtNs9abAJmj6vt/qbdiOhsNqmmqaah0D8X/EhB/rujp7tu7dq9Ona/fuh99d/2E0/PnuMuGrqvq+mqa+/LLeeafm52vv3vrxgeGpN9vZ2fbE8frBnofX77q1j4wW+K4QfNU3wX/6ab3wQg2H49cnJmrnU90rh/tf/nrwxht19Gg980zt2rXhOH+0/ui0X/xsc4Kv+ib4S5fq7bfr9u3RDmmqqh1U31ffra3WVPfzX7QnTtSJEzV1qN+/v3l+/zj+rqvhsNp2bYFtSPBjX3xR8/P1u4Xu6mLz52vN0mJ/61a/fudyx461pKuqqm+rOzoz+NmR+umr3fR0vXy4PXRo/FWrq2s/Ii74s60I/tGWl+v6tf76tf7qYnv54/r44urf77RrY7+tiYkaDqtbm/z9Uztqarp58cU6PL06c6w9OtNMT2/4tgf3sf7ZQoIf6/vquupWq2lr4oHbF7dv198+7z75pJ2/WHNzNTdXd+6M323b9fKrqt+5s/bubZ59to4cqdnZmp2tByf/utFHnPbzhAn+Efp+vAwGG5r8+uu6f7+Wlurcufrtb1YvXaq7/xjcv19d14/m/4MmJ+vpp2vfD1dPnqw3fzU4dap+dLD/3vebB39Nuq66zj1/nhDB/wej3TP6++0gu64WFur8+Zo7O7y6NFhebpaXa2VlvMJD8//A893s6cHJk3XsWO3fX/v21a5d45VHHxxd8zP52QyC/6/9mxPyK1fq8uVaWKjr10dLV9WMJv/ERDVtrfxzvPLBg3XsWM3M1CuHu5deag9NPeJpH3i8BP+/Gp359/2Gu3HDYS0u1tKfusWl5vd/aK5c6ZeWuqrB6N3JyapaPxDoq7qDB9qXDzfTU/2rP+mOzAxee23D5IfHRfCPzdo1v676vnbsGL/+1Vf12Wd180b3x6vthQt1fq5bXGrWT/jbtvpav9XfV9VzzzXT0/X++7V799q9PXhcBL8p1sd+1YYL/isrde9e3bpVFy/WmTN19kz3l782KyvNg4/3VdXx4/Xhh7Vz5xPdZhL455lN0TQ1WDt+H1/wb9uanKw9e2rPnpqaqnffrar25s366KM6d7abv9Df/Hxw927duVNvvaV2NoUJ/6SN9vcjD9Rv3KiFhfrgg3rvvXr9dcfzPH6C32Lr87/6GjjeYpMJfhsZnfavrtbEhIdw2BSChyDmCAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5FxF/j2BC0S+MAAAAAElFTkSuQmCC", "image_next": "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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": "acfc72faf45b5193d756f425c9c154294a4b9be4a7fe46120c91c0875924f97c"} +{"episode": 33332, "episode_seed": 37572254, "split": "train", "timestamp": "2025-09-15T23:18:38.130453", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 37572254, "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', [26.96240559058387, 13.190107829883061, 38.84704488608653])", "action": "('move', [26.96240559058387, 13.190107829883061, 38.84704488608653])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJIklEQVR4nO3d34tcdx3G8WdmN5sN2UQa8AeCEfxRJUpBkCLohRRKS6FQwaIggqmiCHrljf+DIEKhLfSiFypeiAREKRZBEbxT2l5YRIqKWioKQbvZ7CY7M8eLGdy0VsVmNjP1eb0IS3Yzkz0s+97POed7zuxoGIYAHcar3gDg1hE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FNlc9QbA/24Yjt7e+O7GRkajlW3V64HgWbVhOKp0GDKbLf6SG5JOsrm5eNgwZBgyHmv7NRgNN35N4Sbd+O00L/mfWU6nr5zJScbj15juZJKDg+zv5+AgBwe5di2XL+c978mb3/yynyC8nOBZD/NKX3ghv/tdDg9z5UquXs3eXq5ezd//nq2tfOYzeeMbk+Q3v8lXv5r9/Vy7tkj94CCzWf7613zta7l4MZNJNu26vjpfF5ZnOs3eXq5cye5u9vZy+XIuXMhb35oke3v55jfz/PM5OMhLL2V3N7u7uXo116/nwx/O17+eYcjmZh57LI88kiT7+zk8zGSy+J+3t3PXXYvgX3oply69+ga8+GIS4/0/EDw3bTbLeJwXXsinPpVnn80w5Pr1jMfZ38+jj+bzn0+Svb08/HCee+5Vnr61ldlsUelkkr/9LVtbGY2yvZ2NjWxuZjzO29+ejY3F48+fzxe/mNOnc+ZMzpzJzk7Ons2ZMzl1KrffnuTokfwLwbMkGxvZ21vkOh5nezsnThwN25Mnc+ed2d7OyZPZ3l60evZstrfzvvcdnV1/6KHcdVduuy07O0d/XrF//qY3LfYC+N85huemzQ+/Dw7y5JP5859z7lxOncrOTjY28t73Ls6izb22ne3502987r/7prUz/98InltlvuQ2X3XLDXGORkc74fMlt1f8K8sjeJZnMjlaEpu/vXHJ7V8HNbec4KGIa+mhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyFoHPwyZTDKbrXo74P/FaBiGVW8DcIus6YSf/xT6zndy3335yU9e9kHgNVvfCT8M+cAH8uyzOXUq99+fxx/P2bMZhoxGq94yeN1axwk/nWYY8uSTee65bGxkfz9vecuiduBmrGPwSUajPPZYDg8zDLnttnziE0kynRrvcFPWLvjpNBsb+cUv8vOfZzTKbJa7784HP7j4OHAz1iv4YVgswj3xRC5fzjDk9Ok8+GC2thy9wxKsV/CzWU6cyK9/naeeWuR94UIeeCCzmfEOS7BewScZhvzwh3n++YzHSfLZz2Zz03iH5VijZbnZLONx/vKX3Htvnn46Sc6fz69+ldOnkwgelmDtJvzPfpann87mZpI89FB2dhK1w5KsS/DDkPE4Bwd5/PHFyfmdnVy8aO0dlmldgk8yDHnmmfz4x9nczGyWT386589nNDLeYWnWJfh52A8/nNksw5ATJ3LxYhK3ysEyrUvww5Df/jbf+17G40wmeeCBXLjg5Dws2VoEP79m9hvfyLVrSbK1lY9/PKdPZzYTPCzT6oOfn6578cX84AdJMpvlzjtzzz3GOyzf6oOfTDIa5Vvfyh/+sCj8Yx/LG96Q6XRx7Q2wLJur/fTDkM3NXLmSS5cynSbJ7bfnwQcXF+EAy7XiquZH79//fn75y4xGGY9z771529uMdzgWq6xqfvS+t5dLl3L9epKcOZMvf3kx9oGlW2Xw8/32Z57Jj36UjY0MQ+6+O+96V+JaWjgeKwt+Pt6n03z3u9ndXRT+la+40gaO0crulpuvuv3+97njjly9mtksH/1onnrKzjwco5VN+PlI//a3s7ub8TjDkC99aXHrO3BMVnk//GSSd74zf/xjkrz//fnpT3PunAU5OEYrPmn3pz9lNMow5HOfUzscuxXntb2d2SzveEfuuSfxu2XgmK0y+H+uvd1/f9797kwmXqkSjtcqg5+/xM25c/nkJ+3Jw62w4s5ms3zkI/nQhzKdWpCDY7fK4K9fP3rhOkfvcAusMvjDw9xxR+67L4nxDrfCKoM/eTJf+EK2tla4CdBllRfeDEMOD3PihFtl4BZZo988Axw3q2FQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5B8/Sfm0hZtP5QAAAABJRU5ErkJggg==", "image_next": "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", "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', [26.96240559058387, 13.190107829883061, 38.84704488608653])", "action": "('move', [26.96240559058387, 13.190107829883061, 38.84704488608653])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKMklEQVR4nO3d348dZR3H8c+cc7pspa3QKA0EhahgqamNCCoqIBuikPAfeCOYmPgf8D+QcEOi3huvvRRMNVQvBBWhwTSxkDQRiKC1QNvtbvfHGS9mdAu03R9t2I7f1yvNpjvdbZ5sznvnmTMzzzRt2waoYbTdAwA+PoKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQyXYPADavbdc+XvjpeJym2bZRDYHg2W5tu1Zp22Y67f+SC5JOMpn0X9a2aduMRtregqa98GcKV+jCl1NX8v+yXF398D45yWi0xXRXVrK4mIWFLC5mcTHnz+fUqXzxi9m37wO/QfggwXNt6Cp9662cOJHl5Zw9m3PnMj+fc+fy/vuZmckPfpBPfzpJjh/Pk09mYSHnz/epLy5mOs2//pWnnsrjj2dlJRNT14vzc+HqWV3N/HzOns2ZM5mfz6lTOXAgt9ySJPPz+fnP8/rrWVzM6dM5cyZnzuTcuSwt5VvfytNPp20zmeRnP8tPfpIkCwtZXs7KSv8/z85mbq4P/vTp/PKXFx/AP/6RxO79MgTPFZtOMxrlrbfy/e/n6NG0bZaWMhplYSE//Wl+9KMkmZ/PM8/k2LGLfPvMTKbTvtKVlbz3XmZm0jSZnc14nMkko1Fuuy3jcf/1n/1sfvzjXH99du/O7t3ZtSt79mT37uzcmTvvTLL2lXyE4LlKxuPMz/e5jkaZnc2OHWs72+uuy9e+ltnZXHddZmf7VvfsyexsvvSltXfXn3gic3O58cbs2rX250Pz85tu6mcBbJ5jeK5Yd/i9uJhf/Spvv529e7NzZ3btynic/fv7d9E6W5tsd99+4fde6kVrMr8ewfNx6U65dWfdckGcTbM2Ce9OuX3oX7l6BM/Vs7Kydkqs+3jhKbeP7qj52AkeCnEtPRQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoR/Po8qoP/G54eezmrq4mnD/N/xB7+csbjjMc5f37tCYgwaIK/pMXFvPhifvGL/PCHeemlxNye4TOlv4juCajvvZeHH87Zs0ly1125557tHhZcMXv4i+ieaLxnTz7/+czMZDzO889nYSFNYyfPsAn+knbuzKOPZmkpSX73u5w6td0Dgism+IubTtM0efDBJBmNsrSUF1/c7jHBFRP85dxxR/bty/Jykjz7bPLf2T4MlOAvrgv75ptz//39lsOH+9PyMFyCv7imyXSaT3wiX/96kozHefPN/PWv2z0suDKCv6TpNG2bL385O3dmOs3qap57Lon9PAMm+EsajdI0OXAgBw6kbdO2+c1vEpffMGSCv6Smyepqbr01Bw/2W44fz8mTmUw0z1AJ/pK64JN85Sv9/TP//GeOHEnM6hkswV9O1/l99+Wmm5Lk3Ln8/vdJ3EvDUAn+csbjrK7m0KF85jP9lldfzeKiWT1DJfh1TKeZmclXv9p/+tprOXYso5GdPIMk+HWMRkkyN5fZ2SR544385S+JWT3DJPh1dIfx3/lOdu/ut7z8cqbT/hcBDIuX7fqm03zqUzlwoP/0z3/O229nPHYYz/AIfn3dbfCPPJIko1GOHs2JE4lZPQMk+A1pmnzve0n6Je6OHk1iVs/weM2ur7tz7q67cttt/a2yR45YAIdBEvxGzczk4YfTNGmaHDmSd9/d7gHB5gl+Q9o2o1G++920bWZm8s47+dvftntMsHmC35Bu6n7oUK6/PsvLaZocPpxYAIehEfyGdGHv25d77+3vk3/uOQfwDI/gN6R7f+6GG/plLcfjHD2aN9/c7mHBJgl+o7pbYu+5p7/2bmUlhw/3C2PAUAh+o7pZ/Z135nOf6+N/9tl+6TsYCsFvVHeH3O235+67+y0vvZSFBZffMCRerRvVLYAzM5NDh/otJ0/mT39aWxgHrn2C34RuVn/vvdm7N0lOn85vf5u4qJ7hEPwmdHfI3X13br89Sdo2f/hD/1AqGATBb0LTZGUle/dm//5+y4kTOXEik4lZPcMg+M3pTsg/8EB27EiSv/89f/xjYlbPQAh+c8bjNE3m5nLDDUly/ny/4pVZPYMg+M3p3pP/whdy6639lldeybvvZjKxk2cABL9p3R2yc3P9Xv2VV/L664lHUDEEgt+0rvNHHknbZjLJyZM5dmy7xwQbI/hN64L/xjdy441ZXU3T5IUXsrxsWUsGQPBbtGtXvv3t/uaZ55/Pv/+93QOCDRD81nXr2O7YkePH88YbicN4rnmC34ou7Acf7O+cmU77h0y6kYZrnFfo1t18cw4e7Nex/fWvXWzHAAh+6z75yTz0UJomk0leeCGnT2/3gGA9gt+Kbt2L8Tjf/GbaNisref/9fllLh/FcyybbPYBhu+OOHDyY/fvz2GN54IHENbZc25rWLukKTKdZWsqOHf1Cd3CNE/zV0f0U7d65xpnSXx1SZxC8aQeFCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+A/y1KVGzisipAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [26.96240559058387, 13.190107829883061, 38.84704488608653])", "action": "('move', [26.96240559058387, 13.190107829883061, 38.84704488608653])", "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": "c4219593def416dd651814532f99c524c78f5cf585e06d7f54fec2b4efea6532"} +{"episode": 33333, "episode_seed": 3523641409, "split": "train", "timestamp": "2025-09-15T23:18:39.090455", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3523641409, "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', [8.99662185022161, -0.9556552545209193, 37.66586581994081])", "action": "('move', [8.99662185022161, -0.9556552545209193, 37.66586581994081])", "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', [8.99662185022161, -0.9556552545209193, 37.66586581994081])", "action": "('move', [8.99662185022161, -0.9556552545209193, 37.66586581994081])", "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', [8.99662185022161, -0.9556552545209193, 37.66586581994081])", "action": "('move', [8.99662185022161, -0.9556552545209193, 37.66586581994081])", "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": "907614fe9696d3c640a6eaf3e2ab2d6089fdef99e1ed2df7b037a5da75c98cd8"} +{"episode": 33334, "episode_seed": 2023626814, "split": "train", "timestamp": "2025-09-15T23:18:39.703780", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2023626814, "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', [0.5429259458339558, 25.159924272832423, 24.21807648307265])", "action": "('move', [0.5429259458339558, 25.159924272832423, 24.21807648307265])", "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', [0.5429259458339558, 25.159924272832423, 24.21807648307265])", "action": "('move', [0.5429259458339558, 25.159924272832423, 24.21807648307265])", "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', [0.5429259458339558, 25.159924272832423, 24.21807648307265])", "action": "('move', [0.5429259458339558, 25.159924272832423, 24.21807648307265])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHNklEQVR4nO3aX08ddR7H8e/MObCtBGyzCKzaP1Y4aKLXXvkUNvucfAbe+Ch8Er3RxFs3KRQttHYLxGwpaFuBc2YvIKU9drsakbL5vF6ZkJMzc4Y5ybxnfjNnmq7rCsjQvu4NAM6O4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CFI/3VvAOda1528bprXtx2cEsHzKr+OfDSqrjt+//m//F9ouueP4WQbDqvXq88/ry+/rA8/rOXlGgxqMKg3Z7oLF5sLF2py8iWfOjw8PgQ8P3E+OcNzYjSqXq+++aZu3qybN5+93V2aPhx80FsatO+/X4uLdeVKXb7cXb7cXLpUMzPV74+v5ODghfhbd4rODWd4jnVdDYfV79fHH9e331ZVNW1N9KuqDg9rNHph4Znp4bXr7dWrzbVrdeVKvb0wfPudduFvzcJCzc6Or3k4rNHIEOBcEDwv6Lr67LP66qu6d7f7/vboyUFbdVJnr1e9XnVdHRyMfW44Pd3OzzdzczU/X/Pzde1avfdeXb9e16/X/PzL/9EYR4EzIHjGjUa1t1e7u7W7M3q409xZb1ZXa3W11tZqZaV+/nl8+aZ5Sb1V9cYbNT1dMzM1M1PvLBwOltvF5XZpsQaDevfdV21A1x2v0Fjg1Ame3+TgoPb3a3+/trdrdbVWVmrlVq3883BtvX38pD2aNRy+YgVdVdPr1eRkTUzU1FQtLh7fFFxeruXlmnurm/xLczSXP4/gGXe0RzzbL/7nafb+/VpdqdtrtbY6urVSDzbbR49qd7f29urx41FV8/xFQf2XEcHUhcPBcru03C4t1WBQN27UpTe7v842c3PV653aV0Pw/A6/8cJ7e7vu3Kn19Vr/frix0Wxut1tbtbVV21vd3k/d2POdExPVNDUcjg0Qusl+9/d/tF98UbOzJ7/88wf5WY7f4aXVHV1yP5vatubmam6uPvmkqo7Pzj/+WJubtfmg/nW/e7DV3b3bbGzUxkbdWx8++ulksapq2+r3a2KiefKk+eWXunjxLL5XDsHzR/16zH/0NN6zqd+v2dmana2PPmqetb27Wzs7tfPv5uFOc++HWl2t776rtduj27eGD/f6+/tNVd24UVNTxz/pcSoEz+kbe9Km6144BDRN9fvHd++vXj1ZdH+/nj5tnz5pHj1q7qzX11/Xp58ezxL8aXENz2vw/H3Bo0OAp/HOhuA5L8b2RGf1P4MhPeeFws+AgRQEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+Q/PU0cGpUoSzwAAAABJRU5ErkJggg==", "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": "6d4c17a583ae20bf45739410501b5c80181d44843299233782d7d210e49fc066"} +{"episode": 33335, "episode_seed": 3659138256, "split": "train", "timestamp": "2025-09-15T23:18:40.316572", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3659138256, "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', [10.52740747004872, 6.614366855411155, -29.48515762676097])", "action": "('move', [10.52740747004872, 6.614366855411155, -29.48515762676097])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKnklEQVR4nO3c349cZR3H8c/M7GKsldWkRqzUEKFuzYY0UK2AiqCmNcYIpMH4M9zojRfGv8F/wh83XkE0VmOIREzAoCVFi3SNhtKSDaBBay0YajGV7p4zXszYxRpkd/tj5vh9va7ak9PJk03f+5znOWdObzgcBqihP+kBAJeP4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FDIzKQHAK9nOEzTZDjMYJC+KeqC9IbD4aTHAFwmZnim3qlT+d738txz+eIXs7CQtjXPb5jgmXqvvJKvfS1nz2bHjiwspGkEv2F+cEy9ubnMz6fXy7PPJkmvN+kBdZjgmXqzs3n/+zMc5tixLC9nZiY2njZK8Ey9fj+7dqXfz7PP5vjxJILfMMEz3do2SXbuTNvm17/OH/6QCH7jbNox3UYr9muvzde/noWFLCwksWm3Ye7DQyF+U9IdJqcLJni6o21z9GjOnp30ODpM8Ey90b7d0aO5++7ceWeWlhKz/QYJnqk3ant5OY89lmPH8sQTicdvNkjwTL3Rnvy11+ammzIYjINnQwTP1Ov1srKSTZtyzTVpmjz+uOv5DRM8XTBaxm/fniS/+11On57scLpL8HTBYJAk8/OZm8vLL+f3v0/s222E4OmC0Rbdjh3Zti29Xh5/PBH8RgieLuj3s7KSrVuzZUuGwxw6lAh+IzxLT3f0etm7N1demU9+cvxX1smz9FCIGZ5Oads0TXq9zPivuxFmeLpp9CrL4dCF/brYtKM7Rnfjv/nNbN+eL385SZpmsiPqHNdFdM3zz2dpKZs25e9/z5VXmuTXxQxPd4zCvumm9Hp54YUcPZr8e9pnbQRP14xeaHniRI4dS9yNXx/B0x2jGf6qq7J9e5omTz+dCH59BE/X9HrZvTtJlpbSNF5Tvy6Cp2t6vezalZmZ/PGPOX48vZ7g107wdMqo7RtvzMpKDh4cX9Xbt1szt+XooOuuy5492bo1V12V4dBr6tfOk3Z0UNPkn//Mm96UxH34dRE8ndU04xdjsGauheiswSBnztixWxfB0zWjLboTJ/KNb2Tv3vHzdrJfG8HTNaO2T57Mt76VAweyuDjpAXWJ4Oma0Z78NdfkAx9Iv5/Dh+3brZ3g6ZpeL02TzZvz7nenbXP4cFZWJj2mzhA8HfTq19T/5jc5c2ayw+kQwdNBowv4667L3FxOn86RI4l9uzURPB00WsbPz+dd70q/b99u7QRPB/X7aZq8853ZujVtm4ceSszwa+JZerqpbTM7mxtuyIkT2bUr8Zr6NfFoLV12+nTOns3cnLdWr5HgoRBreLpsOLR0XxcXQnSZdfs6meGhEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBv77hME2Ttp30OOCC9YbD4aTHMNWGw/R64z+vrCTJYLB6BLplZtIDmGptm34/DzyQF1/M7bdn27bx8eXl9PsZDCY6OFg/M/xratv0ennppXzsY1lczPvel1tuya23Zu/ebN48PiFJr2fCpzME/5pWVjIzkwceyN13p23zyitJ8sY35vrrs3t39u3Lbbf9x/mjH6T4mWaCf02j6/lvfztf/WqGw5z3c5qby7ZtufPOfP7zmZ9Pv7/6r4bD9PvKZxoJ/n8ZDtO2+fOfs39/vv/9LC3lxRfPP2cwyK5d+dKX8olPZOvWbNo0Pm6dzxQS/DosLmb//vzylzlyJH/7W5L0eun30zRJMhjkU5/KHXfkxhtz/fXjOd/GPlNF8K/v3PX8qOG2zcMP55FHcuBADhwYn3PFFWmacflvf3v27MmHP5zbbsv27eMTmmb82wEmSPDr0LZpmszMjKfrkydz+HAefTQ/+lGOHBmfMzub5eXxn3fsyA03ZM+e3HVX5uZWP8f2HpMi+HUbPXg3HGZ2dnzk+PEcPZr9+/ODH+TkyfHBXm8c9hvekKuvzs035wtfyMc/nplXPfrQNLb3uKwEv3Ftm7b9j/X5qVP5xS/y3e/mscfywgvjK/xzZmbyjndk37587nOZn1+d81dWxlf7yudSE/xF8N+X6CdP5oc/zP3356mn8txz44ODweqvgJ0789nP5vbb85735K1vHX/IykoGA+t8LiHBX2SjHb5z0T75ZB58MI8+moMH89e/JhknfW6dv2dPPvrR3HJLPvjB1Y19Ez6XiOAvidEN/OFwvGJv2xw6lF/9Kg8+mJ/9bHzO7Ox4FzDJli3ZvTsf+lA+/eksLKx+yIjyuVgEf2mNkj63vffSS3nmmfz857nvviwujg/2+6vfvb366rz3vbnjjnzmM3nb21Y/59Vf2oMNE/zlMJrwk9UH7/7xjxw7lnvvzY9/nD/9afyg/jn9fubmcuutueeefOQjectbLOy5OAR/WZ23wk/SNHn44dx3Xw4dyjPPjMt/9Zy/ZUv27cs99+TmmycwYP7PCH5iztvbP3Uq99+fhx7KE0/kySfHB6+4Iisradt85Sv5zncmM07+nwh+8kb38889kLO0lIMH88gj+elP85e/jA/+9rfZudNKngsl+GkxeoAvGZffNHn66Swu5t578/LL+clP8uY3C54LJfipc97G/pkzWV7O5s327bgIBD+lzvuKHlwUgp92vlrHReSttdNO6lxErhehEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+BSadpYXrJG5GAAAAAElFTkSuQmCC", "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', [10.52740747004872, 6.614366855411155, -29.48515762676097])", "action": "('move', [10.52740747004872, 6.614366855411155, -29.48515762676097])", "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', [10.52740747004872, 6.614366855411155, -29.48515762676097])", "action": "('move', [10.52740747004872, 6.614366855411155, -29.48515762676097])", "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": "ef87822a67494774730859caa8d368b24e4400788ef8b13ae75807778e3c4d66"} +{"episode": 33336, "episode_seed": 544558776, "split": "train", "timestamp": "2025-09-15T23:18:41.275032", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 544558776, "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', [4.316621072213763, -4.289840007356495, -22.149270497880014])", "action": "('move', [4.316621072213763, -4.289840007356495, -22.149270497880014])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJG0lEQVR4nO3czYvcdwHH8c/s7G5aAto0aaNrFWsfKAihPRSCUPGQIqIgWvHhpkXvpRRKxSJaFBT0HxA95iKCBy09KOZQjI+IomCS2khLmk0MjSJkdTM7Pw8zjQ0mfVCbzeTzejGHMPmx+w3h/fs+zG93NAxDgA5L2z0A4MoRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBRZ3u4B/P9NJplO538ejzMeb+to4GoyGoZhu8cAXCHXzgw/DBmNsrWVb3wjTz+d8Tibm3nwwTzwQKbTLNm7wLU0w8+qfuqpfOAD83f27Mlvf5u1tfm9ALhGZvjZXevs2Tz6aJJcf322tnLwoNrhItfOSndpKV/7Wn73uywvZ2Mjn/507r9f7XCRa2FJP1vMHz6c970vW1sZhtx6aw4dyi232L3DRRa+htn9amMjDz+czc0MQ4Yhjz+udriEhQ9iMsnSUr75zfzsZ1ldzXSaj340n/pUJpPtHhlcfRZ7Sb+1lfE4v/xlPvzhrK8nydpannwy+/bN/wp4uQWe4afTjEb5xz/yxBM5eTIrKxmGPPxw9u3LZKJ2uIQFnuFnW/Rvfzuf/WzG42xt5b3vzY9/nPHYyTxc2qIGP/u87bnn8p73ZH09w5DV1fz0p7nnnu0eGVzFFnhJn+Sxx3LiRJaWMp3m85/PPfdkMW9fcIUs5Aw/m96/97187GNZXs5kkv3788Mf5oYbMhpZz8NlLV7wsx99PXs2996b48ezvJwdO/L97+fAASfz8CoWb0k/O6v7whdy/HjG40wm+dzncuBAplO1w6tYsBl+Msnycp56Kh//eDY2Mpnkrrvyox/lrW/NMAgeXsUizfCzOfzUqXz5y/n73zOdZnU1X/xi3vY2tcNrskjBzw7kvvWtHD48f4r2Ix/JJz7hMRt4rRZmST87mT90KPffP//NNrt35ze/mU/vTubhtViYGX6W9IkT2bUr589nOs3Xv652eH0WbIZP8vTTefzx7N6dgwezspJE8PBaLUzwM7NP2s+cyWiU3bu3ezSwaBYs+OTfT9dYzMPrtXjB56WH7fw2G3i9FjJ44L9jloQigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigociy9s9gEqTSYYhS0sZjeYvuCJGwzBs9xi6TaeZTrO0lCWrLd5wgr+ytrYyHufgwZw6lbvvzjvfmVtvfaXrX/6/YyHA/0zwV9AwZBgyGuXee/PrX+fNb87OnXnTm7JnTx56KA888N98qbgR8DrYw19Bs337iy9mz57cdFPOncsLL+SFF5Lkk5+cX7Oxkc98JkeOZP/+3HZb7rort9+eXbty3XW5/vqsrs4vu7DzH4acP59kviOYnQvAZZjht8mZMzl6NMeO5fjx/Pzn+epXc/fdGY3y7LM5cCDHj1908Z49ue22vP/9+dKX5puC06fzz3/mxhuzc+dlv8UwzE8H3AJ4ieC3w4XV+H++eeZMvvvd/P73+ctfcuJETp7M+no2NpLkgx/MD36Qzc2sruaRR3LoUN71rrz97bnllqytZW0tb3lL1tbmt4AL32IYsrWV5N+fCOi/mOC3yWwTPntNp1lZuUSHp05lfT2nT2d9Pc8/n3378qEP5fz5rKzkjjvyzDMXXXzzzbnppuzfn698JXv3Jslf/5rnn8+73+38nwvs4bfJ5WbaYZh/Sr+ykr175+m+3PJyknznO/nDH3LsWI4dy9GjOXIkp0/n9Olcd1127Jhf+eSTeeSR7N2bXbty553z1x135PbbMx6/kf82rl6Cv8qMRllZSV7agV9YBYzH84l6dpu4777cd1+GIZub2dzMuXN57rn86le5+ebccMP8S/3xjzl5MidPJslPfjJ/c+fO7NiRw4dz552X3llwTbOkX0yz07hXdvRofvGL/OlPOXIkzz6bs2fzt7/lxRczGuXYsbzjHYIvZIZfTC+v/XIP58zW8BecPZs//znPPJNz57J79xs/RK5GZvhr12xTkJfuCMtu7gi+x4VDgYi/l+ChiE9ooYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoci/AJf1Gb1XF5XVAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKwklEQVR4nO3dbWiV5QPH8d953HJQbU5Xo2KlW1Ewrag0sTdaEyoGJRaEklBQgU1IHDQyxDYkSHwh5AsTpKcXEYLEemFWhjAaBRsYtJ35QJKb0zbDMXPn4e7FuT3Tf1p/S93Z+X0/nFeHm+2o53tf93Xdl+dEgiAQAA/RqX4BAK4fggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBXxO5nIJgql8E8BcEf/Vls4ry94qixBvzKstkFIvp5ElFIgzyKDoEf9Xk847HtW+fmpu1cyfNo+jEp/oFlIIgUBAoGlUup44Obdmi0VENDOjBBzVvnnI5rvBRLHgn/le5nCIRRaPq79eyZXrrLY2OKpHQyZNqbw8PAIoEwf8n6bSiUWUy+vBDPfqo9u5VPB4+/8wzevddSYrFpvY1ApMI/l8KAmUySiR09KheeUWrVum335RMKpPRrbdq61Z9/rnq6iQpEpnilwoURAKWla5cEIQZ79mjDRvU26t4XLmccjktWaL2dj3ySHhzjtpRVFi0uzL51CMRTUyorU3bt2tsTGVlOndOkjZsUEuLqqqUTisep3YUHUb4K5DNhhPynh699pq6uiSFi/P19Xr/fS1ZIkmZTDiTB4oNc/j/V35HzR9/aNs2PfaYurqUTEpSLKZVq9TVFdYeBNSO4kXw/ywIlM0qHldfn1av1po1OnNGiYQmJlRXp+3btWuXZs4M99hwGY9ixiX9Pyhsm/n0U739tlIpJRLKZBQEam7Wxo2aN4/1OUwbXH1eVv5MGI3q9Gm9+aZ27FA6rURC6bTKy7Vpk159VRUV4ZPAtMAIf2mF9bnvvlNLi3p6FIspCJTL6YEHtG2bFi686DBgWmAO/7/yO2piMY2NafNmLV2qnh4lk8pmlUxqzRrt36+FC8P989SO6YUR/iL5fe/RqA4eVGurOjsViSgWUyajhgZt2qQVK6QLNt4A0wsj/KT82ls0qg8+UFOTOjuVSIQD/nPPqbNTK1aEZwRqxzTFCC9p8o7a4KDWr9dHH0kK1+cqK9XRoZdeUjzOjhpMewQ/eeOts1Nr1yqVCtuWtHixtm1TY6PE+hxKgvUlfX7VPRrV2JhaW9XcPHmbfcYMtbVp3z41NoafSEntKAG+I3xht0x3t954QwcOTK7P3XuvtmxRU5PE+hxKi+kIn78+z+W0dauWLdOBA0omw/W5l1/WV1+pqUnZrMT6HEqL4wifH7RTKbW2avduSeGkvbZWmzdr5UqJGTtKlNcIX1iN//hjPfGEdu8Od8VmMnr6aX39tVauDCf21I6S5HKXqbCjZmREbW3asUOZjJJJTUxoxgxt3KjXXw+30+VvxQMlyeKSvnDjbf9+tbSot3dyY/zDD2vLFi1adNFhQKkq/Td4/hPjz5xRe7sef1y9vUokwil6S4v27tWiRZPjP1DaSnyEz39ofH+/1q/Xnj2KRhWLKZ3W3XfrnXe0fHl4DKnDROm/04NAVVU6dEjRqIJA6bReeEFffqnly5XJUDu8lPgIr/MDeHd3+Jlz772nF18MP0A+FuM2O7yUfvA63/yuXWps1P33Tz4DuLEIHkCe0TCX/z8wgDNGeMCI0QgPgOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR+FS/AEuZTPgt1pFI+ACuC76IYqrlcuE33fFld7j2CP76ymYVi+mTT3TihObPV12d7rzz746/8F+HCwH8ZwR/HQWBgkCRiB56SD/+qJtuUkWFbrxR1dVau1bPPvtvfpQ4EeAKMIe/jvLz9pERVVdr1iyNj+v4cR0/LknPPx8ec/asVq9WX58WLNCcObrnHs2dq8pKlZfrhhuUTIaHFWb+QaB0WlI4I8ivCwCXwQg/RU6dUn+/UikdOaLvv1dHh+bPVySiw4e1dKmOHLno4OpqzZmjpiZt3BhOCoaHde6cqqpUUXHZXxEE4eoApwCcR/BToXA1/tcnT53SZ5/p4EGdPKlff9XgoIaGdPasJD35pL74QhMTSia1bp2+/VZ33aXbb9dtt6m2VrW1uuUW1daGp4DCrwgCZbOSJu8I0L8xgp8i+Ul4/pHLKZG4RIcnTmhoSMPDGhrSsWNqbNRTTymdViKh+noNDFx08OzZmjVLCxaovV01NZJ0+rSOHdN997H+jwLm8FPkciNtEIR36RMJ1dSE6V4oHpeknTv1009KpZRKqb9ffX0aHtbwsMrLVVYWHtnZqXXrVFOjyko1NISP+nrNnatY7Fr+2VC8CL7IRCJKJKTzM/DCVUAsFg7U+dPE4sVavFhBoIkJTUxofFy//KIfftDs2br55vBH/fyzBgc1OChJ33wTPllRobIydXWpoeHSMwuUNC7pp6f8atzf6+9Xd7cOHVJfnw4f1uiofv9dIyOKRJRK6Y47CN4QI/z0dGHtl9uck7+GLxgd1dGjGhjQ+Lhmzrz2LxHFiBG+dOUnBTp/RohzcgfB+ygsCoj4fRE8YIQ7tIARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0b+BEh/011vXgq1AAAAAElFTkSuQmCC", "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', [4.316621072213763, -4.289840007356495, -22.149270497880014])", "action": "('move', [4.316621072213763, -4.289840007356495, -22.149270497880014])", "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', [4.316621072213763, -4.289840007356495, -22.149270497880014])", "action": "('move', [4.316621072213763, -4.289840007356495, -22.149270497880014])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHSElEQVR4nO3bUU9UZx7H8f85A0ob0baxRbRGkYrUlqT3fT99i0162Xdg2m0BcYG6Ipq1IlsToMw5ezEEEdxuslmR+Pt8MlczJzNnMvk+8zzPmWn6vi8gQ/uuTwA4PYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIGPv+gSydF0Nh9W21TQHNzhNTd/37/ocQnVd7e+/Kr9pqjXf4i0T/Cnp+2qaWl+vH3+sL7+s6em6du34McPhwWGHX/6mAPx/mdKfkq6rwaB++KG++65mZurSpfr005r6rJu50d26PTY7W7OzdfXqXz3D0ZHZQMD/RvCnoe9rMKiqWlmpqlpdPXykqRqcP18XLtSFCzU5Wdev9/Pzzdxczc/X/HxdufLqSU5G3nUHM4LRo0YB/ivBn56dnXr6tM6fr+F+7Q/7qqaqqard3drdrWfPqqp+/rn5/vtq2xoMany8Lk0O5+/UnbuD+fm6e7dmZ2tysj74oCYmamzs+Jp/tCN4dFPAEMAx1vCnp+tqcbHu3asHK93Sr8PfHo0/f15bW7X1vP71x/GDRzF33fH7p6Zqbq5u3z64TU91H3/SfPxJ89FHNTFx/OA//6y+f+2igCEgnODfpefPa3291tf79bVa/63Z2KiNjdrcrI1H3R8v+6rB4ZFtW2PjVf1Bw0cMp680N262N2/UzZn6/Fo/fbWuXmuuTtf0dI2Pv/Zyx6YALgoEEvyp6vuDhfdo7T12YkX1++/15Ek92ew3H/f/2GhXV2t1tdbW+r/f73b329ESYGQ0pR9d2zv6Ck1TU1eaK1M1NVVTn/XXP+9mv2hnbjUzM3Xjxim8Rc40wb9Lh/GPbieX5VX14kVtb9eLre6fz9oHD2p5uZaXa+mX4f2V2u8Gxw5u2uqPrwK6c+PN5MXm0qW6eLGmLu/P3Wm+mBssLNS339a5c2/vzXEWCf4MORp/9dW0B3v7x+zt1d5uv7NbDx82i4u1uFiLv3S//q179GSwt9fs7Z2c9r/2IlXVts2tW3XvXn344at9fhII/kwbfTiHH9Ff77rt7NT9+7W8XEtLtbRUKyvd1la7vV3b27W93Vf1R/868fXX9dNPNRy+eUzhfeWy3Jn2H39v19fJcXpiohYWamHh8I725ctaW6vV1Vp90K0+qEdPanOznj6tjY366qu3eNqcWb7h3yuvLQrqDZuC29v1+HE9fFiXL9c335jPxxH8+2xU/uHWYNu+YQggiuCDHP3+bxqr90SChyB+bAVBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/g1ZWHEazgsRVAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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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": "3415bd37cef4b6dec83e19894efd4cd8e8fe06608fd14a68e95b50f227d07a18"} +{"episode": 33337, "episode_seed": 1969328508, "split": "train", "timestamp": "2025-09-15T23:18:41.887426", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1969328508, "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', [53.71747957977803, -48.18987823876609, -36.509529408102644])", "action": "('move', [53.71747957977803, -48.18987823876609, -36.509529408102644])", "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', [53.71747957977803, -48.18987823876609, -36.509529408102644])", "action": "('move', [53.71747957977803, -48.18987823876609, -36.509529408102644])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALe0lEQVR4nO3dW4gW9R/H8c/MrCey3cw2Q6Jw7UC07o1JIqXQZpKgLGatCuaFJ7ASRIi66EKi7EQm2IVakXWhlphbJnZWsaBATEuhlIUVsojS9bCo7fPM/C9m/hv/8G8edveZ2c/7defjzcDj2+9vTr8nSJJEADyElT4AAL2H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBF8McaxyWUlS6eNAwVVV+gDwL5JE5bKq+KLQHZjweRcEqqrSoUPavFknTlT6aFBwBJ9fcawkUWurnnlGTU166CF9+KEklUqVPjIUFsHnV5IoCNTRoRUrdPCgwlDvvac4VhhyMo/LRPD5FUUqlTRqlKZMURQpSfT119q1S2GocrnSB4diIvhcCwJJmjdP/fopCHT8uD74QOVy9jlwqQg+16JIkhob1dCQrfBbWnTokKKIIY/LQfB5lyRKEi1erCRRFKmtTZ9/Lokhj8sRJFz/KYKTJ9XQoCNHJOnOO7V7t2pqspkPXDwmfDFUV2vhQiWJqqr044/auVNiyOPSEXwBxLEkPfywBg/OTt1XrarsEaGoCL4AgkBJoptv1uzZimNFkT77THv3Zk/mABeP4AsgCBTH6tdP06bpqquyD1es4AkcXDKCL4a07bFjNWFCtqr/9FO1tWX/FwAXieCLIQhUKmnwYDU1KQwl6Y8/9OabCgJuyOMSEHxhpE/XNjVp1ChJKpe1dauOHVNVFUMeF4vgCyMMVSqptlYPPpg9gffDD2ppYVWPS0DwRZIO+fnzde212SJ/yxZ1dHD1DheL4IskDbuuTvffnz1p+9VX+u47hSFDHheF4AsmXcAvWZL98dQpbdmiUokhj4vCs/SFlCS67z7t3KkgUHW19uxRXV22NwZwAfwDKaQg0BNPZKv69nZt3iyJ2vHvmPDFk74k196usWP188+SNGKE9u3T4MGVPjLkHkOheNLT+Jqa7P25KFJrq7Zty96cBy6A4AspHfKTJunGG1UuKwy1ciVvy+LfEXwhpVtc3X67pk7Npvrevdk1PO7P4QIIvqjSxfy0aaquVpLozBmtWSOJ4HEhBF9UUaQ41vjxuueebMjv2KEDB9jfEhdC8EWVvifXr5+mT9eAAQoCHT2qDRuy3TKA8yL4Akvfk5s+XSNGZJF//LGOHuX9OfxfBF9g6WX5q6/WzJmSFEXavz/bxJrgcV4EX2zpAn7hQlVXZ78hv369Tp1SVRULe5wHwRdbECgINGyYZs3KNrHevl379kkieJwHwRdeGvaCBX9P9bff5kUanB//KAovPZOvr9ekSSqXFUXauDH7jRqGPP6B4PuCdBPr+fMlKQx1+rTWrav0MSGXCL7vGDtWd9+tzk4Fgdau1ZkzlT4g5A/B9wXp/pbDhmn6dEkKAv36q955h02s8U8E30ekZ/JTp2Zb38Sx3n1X585V+rCQMwTfR6SP0N92mx54QJKCQN9/ry++UBSpVKr0wSE3CL5PSRLNmKEhQ5Qk6ujQ+vWSeLoefyP4viMd8uPHa/To7IGcL7/Unj3Ze3WACL6PSTtfuFBhmL0/98knlT4m5AmbWPZBpZLq69Xaqs5OXX+9du/Wrbfy7B0kJnzfkz5Rv2iROjt1zTWaPFkDB3IOj0xVpQ8A3Sy9Pzdzpjo6NHGi7rrrfz6HOZb0fVz69VI7Uizp+6wkyR6zo3Z0YcIDRpjwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXgUR5Kwd88VIngURJJke3TS/BVgiysUQdc+23GsKKrooRQbEx65F8cKAoWhnn1Ws2fr9GmJn8K+TEx45Fu6vfa5c1qyRKtXK47V0KCnnmLjrstD8MixtPbff9ecOdq+XZKmTtUjj0j/PaXHJWJJjxwLQ+3fr4kTtX27gkCPPaYNG1RXR+2XjeCRP0miONbZs2pp0eTJ2r9fgwbpxRe1apUGDaL2K8GutcifdCV/+LDuvVe//aYbbtBrr6m5mU32rxwTHnnSlXS5rOHDNXeuxozRpk1qblaplN2HxxVgwiM30rX6X3+pf//sk7NndeqUamtVKqmKC8zdgAmPHEh/JScIdPCgxo3TW2+pVFKSaOBA1dYqjqm9uzDhUWlp7VVV2rZNixaprU21tTpwQLW1nLR3OyY8Kip9H6aqSqtWacYMtbVp2DC98opqayVx0t7tWCmhctKT9iTR0qV69VVJqq/X669r/HjuvfUQgkeFdD1F9/jjev99SWps1Jo1qqvjEl3PYUmPXpc+V5P+lvXy5Vntc+aopUV1ddn5PHoGF+3Qu9KT9jBUuawo0i+/qLlZ48bppZeyv2Ul35MIHr2o66r70aMaPjzL+/hxDRlC6r2DJT16S1fSTz6p5ma1tSkIFMcaMiR74x09j+DRK9Kk29v16KN6+WXt3q2VKyWpXM5W+OgVXB1BD0sv0UWRfvpJCxZo1y5JmjVLTz+d3YFntvcizuHRK3bs0Ny5am1V//5aulTPP1/pAzLFhEcP6+jQpk1avFgnT2roUL3wgubNk7ggXxlMePSYNOk//9Qtt6i9XSNHavVqNTaqXFYYUntFcLEEPaDr9luSaOhQrVypCRP00UdqbFRnJ7VXEBMe3aor9ZMnNWCABgzIPj9xQjU1PDNbcUx4dJ/0Kbog0DffaPRoLVumjo7sxltNDa+15wHBo5ukqYehNm7UlCk6fFjr1unIEUWR4pib7TnBd4DukP4UVGenli/X7Nk6dkw33aS1a3XHHUoSRREn7TnBEgtXLJ3tcaxly/Tcc5I0ZozeeEMNDdk7sMgNvgxcsfRqfBiqvl79+6upSVu3qqFBpRK15w1X6dFN0jn/7bcaOVLXXccF+XwiePQAnqLLK1Zc6FbsM5tvBI9uRer5RvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwHfkz/NwKG+RMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [53.71747957977803, -48.18987823876609, -36.509529408102644])", "action": "('move', [53.71747957977803, -48.18987823876609, -36.509529408102644])", "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": "3c9adf3fde82b3e796be21b236a5375136d62bd630397f8d9ad82875a4f5f196"} +{"episode": 33338, "episode_seed": 2732828844, "split": "train", "timestamp": "2025-09-15T23:18:42.498797", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2732828844, "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', [-46.554036174926516, -56.455948685232016, -55.93707252324875])", "action": "('move', [-46.554036174926516, -56.455948685232016, -55.93707252324875])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJZ0lEQVR4nO3du25c1R7H8d+ML8jGuTiGIEggkVOgiCYSokU0CCEhSgpeANFQ8Qy0PAAPkCegRHQ0CCFFQgIhLuEmhySOAyQotmfmFHvicDghNkfas73z/3yqZFdLUb6z1l6z9p7BZDIJUMOw6wEAsyN4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYJndiaTTCZdD6I2wTM7g0GSjEYZj7seSlWDiY9cZqKZ3oemmE7Ndz0AHn7jcYbDfPll3n8/y8tZXc0bb+T8+a6HVZLgaV0T/Lff5oMPplfOn8/585lMpot8ZkbwzMj2dubns7CQySRnznQ9mqoEz4z8/nt2dzMYZDzO6mrXo6nKFgqta9btN24kmS7jH3vs3nVmSfC0bm4uSba2kmQ8ziOPZGWl0wEVJnja1XztO5lMZ/jxOGtr048AZk/wzMLOzjT4JGtrFvOdETyzsL09XdJH8J0SPLOwvW2GPxQEzyz8Nfhmi55OCJ52NZt2f13SnzjR3WjKEzyz0MzwzUreDN8hwTMLOzu5dSvz80myttb1aAoTPLNw+3aS6bOxTfAey+6E4GlXs4zf3Lx3xZK+Q4JnFq5fT+7O6seOdTuW0gRPu5oZvgl+PM7iYhYXux1RaYJnFpol/e5ujh+fbt3RCcEzC9euTf9w4kQWFjodSm2Cp3WTyXRJn2R11ZK+S4KndaPRvV16M3y3BE/rxuP/muHdw3dI8LRuNMr169Pt+tXV6QzvgblOCJ7WNffwe8H7LYoO+bendc2jck3nzaNyztV2RfC0rnkSXvCHgeBpURP23pfwuXuu1o9JdkXwtG7vXG2S5eXEjl13BE/r9s7Vzs9naanr0dQmeFq3t6Q/elTwHRM8rdsL/tgxS/qOCZ7W7Z2rPXLEDN8xwdOiv+3SW9J3TvC0bu8g/bFj0+At6bsieFpnhj88BE/r9n5z5tixzM87ddMlwdOi4TA7O7lzZ/rXo0eTZDy2pO+M4GlLs2O3uZnRaHrlyJHEudpOCZ62NMFfv57d3emVJnjTe4cET7s2N/8ePB0SPO26cWMa/MLC9B6eDgmetuwt6Zt7+OXlafCW9B0SPG1pgt+b4ZeX3cN3T/C0a2srSYbDPPqoJX33vDGYtjQz/I8/Tr+HGw7N8N0TPG1pwj59Ohcu5M8/89xzZvjuDSbeJ0j7mjv5tTXvqO6Y4GnXaJTBQOeHheBp3d5/MXfvnXMPT+t0fnhYaUEhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FBIb4OfTDIeZzLpehzQJ4OJZqCM+a4H8P/66adsbOSJJ/L0010PBXqjb0v6vZX8O+/khRfy3ntJMh53PSzoh74FPxhkdzeDQcbjzM1lYyOJO3k4oL4Fn2QwSJL19YxG+frre1eA/fQ2+LNnk2RrK7/9luHQJA8H0efg5+dz61a+/z6xqocD6W3wZ85kZUXw8K/0Nvj19aysZDTKDz8kNurhQPoZ/GiUI0eytJTxOF980fWAoDf6efBmOEySd9/N7dt58cUkmZvrdkTQCw/F0drJxDdzcBA9XNL/VfNppXY4mJ4HPx5nYyO3byc26mF/fQ7+6tW88kpefz2ffJLYqIf99Tn4paV89FE+/TRffZUIHvbX5+CXl/P885mby5UriSU97K/PwQ8GOXs2o9H0mbn5fn7FCDPU8+DPnUsy3bcbDq3q4cH6HHyS9fUk2djItWtdDwV6oLfBN3fs585lOMyvv2Zz895F4B/0NvjG6dMZj3P5cq5eTQQP++j5Rtfqal5+OQsLOXkyuXvGHvgHD8VZeuBgej7DJ9ndnb7Q0gNzsB8zPBTS55ve5qPq88/z5pt5++3pN3M+v+Cf9Tn45pjN5cu5eDEXL+bmzUTw8CB9Dr7x+ONZXMzNm/njj66HAoddn4Nv3ntx/HieeipJfv652+HA4dfn4Burq3nyyST55pvEV/HwIH3Oo5nhV1dz6lSSfPddt8OBw6/PwScZj7O0lFOnMjeXy5ezu9v1gOBQ63PwzQvqk5w8mdEon32WnZ2uxwSHWs9P2u39Cs2zz2Z93etr4cF6ftKueSP91lauXMnaWtbWNA8P0PPggX+jz/fwe3xmwcH0/B4+d1f1ly7l0qWsreXVV7seEBxe/V/Sb29ncTGvvZYPP8xLL+XjjzMeO34D99X/MJpdugsXsrCQX365dwX4Hw9L8KdOZWcnm5u5eTODgbt6uK+HJfgzZ7Kykt3d6QFbwcP9PETB37mTra3p78wJHu6n/7v0TfDPPJO33sqdO9PfonEbD/fT/1164MD6v6TfMxple9vPy8EDmOGhkIdohgf2I3goRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQ/wAO9++a7fY0hgAAAABJRU5ErkJggg==", "image_next": "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", "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', [-46.554036174926516, -56.455948685232016, -55.93707252324875])", "action": "('move', [-46.554036174926516, -56.455948685232016, -55.93707252324875])", "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', [-46.554036174926516, -56.455948685232016, -55.93707252324875])", "action": "('move', [-46.554036174926516, -56.455948685232016, -55.93707252324875])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHoklEQVR4nO3dT3NVRQLG4ffcwACyGAhQEogDCE659TtYfkY/ltspQBIZ/liIYEkhkpucWdyLTk2RhNkY2/d5KovcXnUWv+o+fU7umeZ5DtBhcdITAP44gocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigociYwc/zyc9AxjKqMGvUp+mk54HDGXU4Fep//jjSc8DhjJY8AcHSfL11/nii1y+nC+//H0QONapk57A/2d/P4tF7t7NN98kycZGnj3LlSuZZ9t7ON5gK/zq0v0f2wfJwTRluczOg9/HgaMNFvxikSTXr09nzkzznF9+yYOdxK4ePsxgwa/27Vvb0+bmlOTNm3nnwRwrPHyYIYPfvp4LF5JknrNzf5kkgocPMF7w85yrV3Px4nrgu8cbSeLEDj7AeMEvlzlzJpsX12v6ixeLvb2cOmVXD8cbLPi8u1zfvrpc7eNfvszjx5km53ZwvPGCXx3U37yzsVhMSV68yKNHiXM7+ADjBb86t7v56eLMmSR58SKPH5/sjGAYwwZ/I+fOJcmbN+vgrfBwrFGDv307Z8+uR1ZbeuBY4wWf5OAgly/n/Pn1x++/zzw7qIfjjRf86lb8PGd7a7kaefIkP/+8HgeOMF7wSaYp05TP/rme/NOn+eGHk50RjGHI4Fduvwv+8aP5+fPEuR0cZ7D/h19Zn9t9minJIj88P3j+LMmG4OFoA6/wd+5ksZFTiySLZ88H/kPgDzNkJ6sV/tatbGzMB3OS6eHDKcnGxsnOC/7shgx+5fz5bH+83N9Pkt3dLJcO6uEYAwe/WOSzz9dr+u5uXr8+2enAAAYOfppy+7P1/Hd38+rVyU4HBjBw8Enu3EmSxSLffbde4W3p4QijBr8K+/btJDl9Oq9f5+XLxLto4EijBr9y69bvv+/snNg0YBRjB3/h7/P5jw729pLk/v3ECg9HGjv4s+emmzfXX251/74LeDjG2MF/9FFufbr+E+7fm5fLk50O/NmNGvxq637uXG7cWH+896/1QzjAYUYNPsk8Z7FYn9ttbOTR01OevYGjDRz86tL9xo0k82KR/YNp9Z45V/JwmIGDX7ly6WCa9pf7SXLv7knPBv7chg/+wsXpyqWNg/3k3Z054DADB786t7u4OV3/ZH3z/d49u3k4yvDBb27m+rX1yL17U1zDw+EGDj7JwUHOn8+16+uPu7uJh+3gcAMHP03Z3880ZWtrPfL6dZ4+9TUYcKiBg//NtWvz6k2yb9/m228Tu3o4xF8h+Ksf5+yZJPn11zx4kAgeDjF28KtXR29dmy5fmZK8fTvvPNA6HGrs4Ffnc1ev5tKlJJnnfHt3mXcP4QH/4y8S/ObmemDn30O+WgP+GMMHv7eX06dz+dJ6J//TT9PenjfJwvuNHXzenc9tXzs4dWr+29/y6lUePnRnDt5v+OBXu/qt7Y3lcnr7Nk+f5smTxEE9vM/wV7yr10t99VXOncsnn2RrK59/nrw7wAf+2zRbCqHG8Cv8b+Z5/bNYeJwe3s8KD0Vc6UIRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wDilzhXFkmKswAAAABJRU5ErkJggg==", "image_next": "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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": "5ace69d1f32522ad341005dc5a5a4af4b022ebd26be9f7c272dc5830b6d23b1d"} +{"episode": 33339, "episode_seed": 1153217506, "split": "train", "timestamp": "2025-09-15T23:18:43.108363", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1153217506, "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', [-4.496816647130534, -1.0678815509779283, 57.74893535769392])", "action": "('move', [-4.496816647130534, -1.0678815509779283, 57.74893535769392])", "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', [-4.496816647130534, -1.0678815509779283, 57.74893535769392])", "action": "('move', [-4.496816647130534, -1.0678815509779283, 57.74893535769392])", "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', [-4.496816647130534, -1.0678815509779283, 57.74893535769392])", "action": "('move', [-4.496816647130534, -1.0678815509779283, 57.74893535769392])", "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": "4aaec44cec1b9d5ee48c2e60725602c670db187bbd6d1c8ecc017b0bbce2cc34"} +{"episode": 33340, "episode_seed": 1692005466, "split": "train", "timestamp": "2025-09-15T23:18:44.056859", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1692005466, "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', [4.598772116359457, -6.027915778929823, 26.633914108311462])", "action": "('move', [4.598772116359457, -6.027915778929823, 26.633914108311462])", "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', [4.598772116359457, -6.027915778929823, 26.633914108311462])", "action": "('move', [4.598772116359457, -6.027915778929823, 26.633914108311462])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKP0lEQVR4nO3dXahlZR3H8d9+OccK5yZSa5IcHMhASPDGEYIpwYuRwTfozYtAsMgzgq8oxYQFxWhR6Dg2EYbhFHOVGiZO4oQXSgrSmWDKi4YiCEEdvBJOnbNfuljLMyoqZbPXPtP/87maOR7Y24vvPM961rOe1ZtOpwFq6M/7CwDdETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMHDPE2nnX6c4GE+mtR7vRN/7oDgYQ7G4zb1J57I8nJ6vUwmXXyu4KFra2sZDPLaa/nGN3LZZVlayuuvp9/vYpwXPHRnOs14nIWFHDmSL3whd92V4TDPPZebbsrKSqbTmTcveOjIdJpeL4NBDhzIlVfm8OEsLmY0SpLNmzv6DsOOPgcKW1+fW1nJbbflgQeyupqFhayu5iMfyb59+fzn2yl9c2E/O71px7cFoJjJJL1eer0cPZrrrsvzz7dtT6f5zGfywAM577wkXdQeU3qYqdGozfuhh7J9e55/PouLmUxy2mm55ZY89VTOOy+TSUe1xwgPszMeZzDIq6/mzjuzf3+SLC5mdTVbtmTPnnzpS0lXA/s6wcNMTCbp9/P73+f22/PMM+n32x/u2JE9e3LBBRmNMhh0WntM6eGka7bQ9Pv58Y9z9dV55pl2Gj+ZZPfuHDzY1j4cdl17rNLDSdQsxfX7ee213HFHHnww43E7jT/77Nx3X668MknG4wznVJ4pPZwc66vxzz2XpaUsL2c4bAf2HTuyb1/OPffE78yLKT2cBM1qfJL9+3PppVlezsJCRqN84AP51rfym9/k3HPbwX+OtceUHv53zQX5Sy9l9+48+GCSLCxkbS2f+lTuuitXXNFO9eebesOUHt6/9Yyffjo335wjR9qBfTrN1Vfn+9/P1q1ZW5vP+tw7MqWH96m5IE9y77254oocOZLFxaytZWEh3/1ufvGLbN2a0SgLCxul9hjh4X1YX41/+eXcfHMOHkyS4TCjUbZubS/j88at+A1F8PDfWV9pf/rpLC3lxRfb1JNcdVX27cvmzW85zWZD2WD//sDGNh6n389kkh/8IDt35sUX20dcN23Knj351a+yefP87729ByM8/KeaJbp//CM33piHH24fbh+Ncv752bs3l1xyYo/dhrWBvxpsGE3JvV6efDKf+1wefjjDYabTjEa55po89VQuuaQ9pm4j1x7Bw3trDqXq9/PPf+Z738vll+fYsXYaf/rpueeeHDiQj360fTBuY07j38yUHt5VU/twmL/9LbfemkceSd7YVPPpT2fv3mzf3v7axk+9YYSHd9YMhcNhfv3r7NiRRx5p76ivreXaa3PoULZvz3icbMjV+Hdjay28g2bQHo/z7W/nhz/Myko7sG/alLvvzte/3v7XwWDeX/S/ZEoPb7G+qeavf82uXTl0KP1++v2MRrnwwtx/f7ZtO/E7p5xT8CvDLDUr7Y8+ms9+NocOnTi74rrr8uST2batncafirXHlB7e5uWXs39/vvOd5I0j6M48M3femaWlJJlMTr1p/JuZ0kOruW5//PHs3JnBINNpJpNcfHF+9KNs27YRN8a/D6f+/wGcJL1eptNcemm+8pWMx5lMcv31eeyxdhr/f1B7jPDwZs0g//e/54YbsnNnvva1U3U1/t0IHt6iaX5lJR/8YLIhH3H9Xwge3lV3W+hWVjIYZHFx1p/zf/RvF5w83T3Q3tzl+93vcvjwib/OjODhHXS3W7b5pIMHc/Ro8sZzeTMjeJifZvX/2LH88pfZtKmDDxQ8zE/zZtmPfzz79rVvjZ7xCqFFO5if9edvuyJ4KMSUHuaheeDuL3/Jnj05dqz9yewJHuahOdr27rvzzW9m167861/tzt4ZEzx0rtms+8c/5rHHMhjkk5/McNgegjljgofOTSaZTnP//Tl+PGeckd27Mxh0s4NX8NCt5nVzL7yQxx/PZJKvfjVnnXXiPXUzJnjoULM7f20tBw7kpZdyxhnZtSvp7gAdwUOHmhNz/vSn9gWUN92Us87qZn2+IXjoSnPw5WiUn/0sx4/nE5/INdd0WXucaQfdaW68DQa5/vocPZrLLss557Q/7+wr2GkH3VlbS78/xwN0BA9dWT89Z37H6LiGh040F/B79+bw4TkemmWEh9lrhvQ//CEXX5wPfSg/+Um++MW5HI5phIfZa86xueeejMc57bRcdFEyn5fXCB5mbDTKcJhnn81vf5vxODfckC1bOtta9zaCh1lqLplXV/Pzn+eVV7J5c/vOqjm9YlrwMEuTSYbDLC/n0UeT5JZb8uEPd3j89dsJHmamWZlfXc1DD+X48Wzdmi9/ueOtdW8jeJilXi9//nN++tMkWVrKxz42x+E9ttbCzG3Zkl27srycq67q5lib9+A+PHRlA7yVUvAwe81NuPnN5NcJHgqxaAeFCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4K+TeQ/ZZzJs6DXQAAAABJRU5ErkJggg==", "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', [4.598772116359457, -6.027915778929823, 26.633914108311462])", "action": "('move', [4.598772116359457, -6.027915778929823, 26.633914108311462])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG6UlEQVR4nO3cwasd5R3H4d/MuTehboxCxL2rhIAoiAtFNJWGuhFc2eIm0eI6CIVuSjcSV65iCrX+B7GIWkg0vV5ihGAW0v4PSlu3xnhzz8zrYq5ZWOpu5ki+z7Obs3ln8+E3886c6VprBWToN30CwHIED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED5vUWrVW//1Pff31weGsBA+bNAzVdfXBB+3ypVZV4zjvcoKHjWmt+r729uovb3df/bsrwcNdbAr+xo36/PP2wNElVhQ8bMZU++3bdf586/uuW2RRwcMmXb9eFy9241jrYYnlBA+bMc30118/2LdbZsQLHjZgHKu1unKlffxxbW9XazWY8HB3e+NctVbjWEfuq4ceqqrZ57zgYWnrdfV9/f3D9ulnXd/XMLTnTo1PPlnDUFtb8y4teFjUtDk/jnXhz3V7r1qr++/rzrzcHTo0+2t2JXhY2DBU39eH74+f7FTfV1U9/dTwy2e79Xr28V6ChyWNY61WdetWvf1O991eV1X3/KL9/g+rqoP45yZ4WFTX1c5OXb5Uq1WNY5361fj44wfX+QsQPCxkqvrWrfbW+ba/7qpq1Q1//NNqHBd6CF+Ch4Vdu9Zd/qi2t2sY6sXf9A8/vNBsn3RtgZ1B4If/up88Wbu7tdqqasONG/0jj3TjuFzzJjwsobXqurp0qXZ3a7WqYV1nzqxOnOim3xcjeFhCa7Ue6ty5g8MjR+r06dreriVv4EvwsIDp1br332vXr7d+VcNQL7xQjz568Ex+SYKHeU2b8/v7deFC7e93rdXRo3X6dB0+XAtfz5fgYW7TeH/vb+PVq61fVRvbsyeHJ56o/f0lXq37kcUXhCTjWFtb9e237a/vdPvrruvq3nvr7Gurrlv6Yn5iwsO8ps35K1eq76u1+vWp8bHHDt6x3cDJeA4PM5lu0W9+055/vv1jp+/72urGL/7VHzu29K37HSY8zGWqene329nptrZqHOu3L9Xx4xurvUx4mNWwrpPPjJ9+1vd99TV88c/V8eNV83/Z5v8x4WEW0yS9+G5dvdYfOlTDUL97dXXs2IbPSvAwo5s368SJ2turw4fHV15u07duXNLDXevLL+vNN+vBB+vs2YOdecHD3enOh6uW/EvcTxA8zGv6BP1Gnrr/L8HD7KbINnglf4dXa2F2P4fUJz+DuwpgKYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIN8DKEsx2iVxeO0AAAAASUVORK5CYII=", "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": "2745dd081d6b0e0ea6eda7caa1014a30c8a557ef1277671b911b0c9b018d1d4f"} +{"episode": 33341, "episode_seed": 192780513, "split": "train", "timestamp": "2025-09-15T23:18:44.664318", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 192780513, "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', [85.56544251482192, -282.54941805001994, 12.596166129750449])", "action": "('move', [85.56544251482192, -282.54941805001994, 12.596166129750449])", "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', [85.56544251482192, -282.54941805001994, 12.596166129750449])", "action": "('move', [85.56544251482192, -282.54941805001994, 12.596166129750449])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTElEQVR4nO3dX+jddR3H8df3nPPbsl21IIqVBCND66YI0hoaUbPVYiXhRGQUSWIElTYtsnYVxITQ6Ca6KRoERX+YJFTaH1FUMiOzi4Jo0239UZCQtbad7/l28T1FyUrnfr/O93fej8fV2NWH3/k9z+d9Pt/v9/yarusC1DBa9AKA/x/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgWXOzWbpu0YsgieBZa7NZRqM0Tdp20UtB8KyprstolLvvzhNPZDy2zy+e4FkrbZumyT335O1vz5VX5r770jSLXlN5TeddlzUwmyXJk0/mXe/KL36RrsuWLbnjjrzudWnbjMeLXl9VdnhWX9fNh/n9+/Pww1lZSdPkDW/I+eenbTPyS7c4dnhW33SaySQHD+aKK+bxn39+7r03L3/5/AyPRfGzZ5V1XcbjHDuWz3xmvp93XT7/ebUPgh8/q6zr0jT57GfzyCOZTDKd5oMfzFVXzYd8FstIz2rqa//mN7N797z2iy7Kz36WzZvTNE7pF0/wrJq+9scey5velGPHkmQ8zsGD2bHDMD8UXgRWTX8L7cc+lqNHs2FDui433JAdO5zMD4jXgdUxnWY8zpe+lO9+N+NxTp7MJZfkxhvn2z4DYaRnFfT30vz619m5M0ePJsnGjbnzzlx22fwSHQNhh+dc9Xv4009n79489tj8OZmbbspll6Vt1T4sgmcVjEb5ylfygx9kZSXTabZty003ZTr10X1wjPSck357f/jhbNuWkyfTddm0Kfffn9e+1qf3IfIOzDnpuvz977nuupw4MZ/e9+9X+3AJnuevv962b18eeijjcU6dyq5d2bPHc+/DZaTneeqP3++6K7t25dSpzGbZsiV33ZULLnCbzXB5WXg++qSPHMknPpG//S1dl8kk+/blggvcZjNoXhnOWv/5fDTKrbfmkUeyYUPaNldckT17cvq02gfNSM9Z62+z+d738t73ZjxO2+aVr8z99+elL3VWN3TejTk7/VOuR47k5puTzLf6225T+/ogeM5a0+RTn8rvfjd/APb667Nrl9rXByM9Z6E/q/vqV/OBD8xrf/3r88MfZvPmJIJfBwTPc9XX/tvf5q1vzR//mCTnnZfvfCeXX+6LaNcNIz3PSf+1022bvXtz7FhWVtJ1+ehHc/nl8wdjWRcEz3PS/1WJ22/PHXfMb6rbti2f/KRvqltnjPQ8u36Y/+Uv8+53509/SpLzzsuPfpSLLzbMrzPenHkW/fH78eO58cb5l1u0bW65JRdfnNlM7euM4Hl2TZMvfjE/+UlWVtK2edvbcsMNbqFdl4z0/C/99v7AA7n00rRtZrO86EW5775ceKEL7+uSt2j+q/6vRB0/nuuuy+nTmUwymeTWW3PhhZnN1L4uCZ7/qh/aP/3p+d+QOXUq73tfrr5a7euYkZ4z6x93//73s3t3Tp5M2+YVr8iPf5ytW53Mr2N2eM6gP34/fDg335zjx9N1WVnJ5z6XrVvdZrO+CZ5n6me+psn+/fnNb+aPu191Va6+ev5JnvXLSM8z9cfv3/pWrrxy/oTM1q158MG8+MVO5tc9wXMGR4/mzW/O4cNZWclolIMHs3272peBkZ7/0L//f/jDOXw4Gzbk9Ol85CPz2lkCguc/9Hv47t159atz6lQuuSS33DK/IG97XwJGep6pb/v3v8/tt+ed78w73uE63PIQPGfw718sb29fJoLnzHS+lHyG58zUvpQED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCJ5h67pFr2CpCJ7Bm04XvYLlIXgGbDpN02QyWfQ6lofgGaS2TdflgQfyoQ/l61/PiROLXtCSaDqfkRig6TSTST7+8dx2W172svzhD9m4cdFrWgZ2eIanbTMe59Ch3H13JpNcc43aV4vgGZ6uS9Pknnvy6KPpurz//fP/5Jw5DmFgui6TSf7613zjGxmPs3Nntm5d9JqWhx2egel38qeeyuOPZzrN7t3ZuDGzWZpm0StbBg7tGKS2zaOP5sEH85735CUvmQ/5nDPBQyFGeobnX5uQe+xWm+AZmK7L3r05cCB//nPGY4fzq8tIz2D0J3M//3ne+MYk+drXsmfP/A4cVokdnsHog//ylzMa5TWvyc6dmc0yHi96WUtF8AxD12U8zuOP56c/zWyW7duzebPD+VUneIahfzDu29/OoUPZtCnXXpuuy8jv5yrzA2UA+rvrTp7MnXem63LppbnooiS291UneAagbdM0uffePPRQui7XX7/oBS0twbNo/eh++nQOHMhTT+VVr8pb3pLY3teECx4sWtOkadJ1ueaaHD2aHTuyadOi17S0XIdnAGazJBmN8vTTWVnJC16w6AUtLcEzGC7CrT2f4Vm0rsuRI/nVr+b/tgOtJcGzaE2TffuyfXu+8IX5Dq/5NSN4FqcP+4kncvBg/vKXHDqU/PMSHWtD8CxOf1Z34ECefDJbtuTaaxe9oOXn0I5FO3EibZvRKC984aKXsvwED4UY6aEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQv4BjSivN8925j4AAAAASUVORK5CYII=", "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', [85.56544251482192, -282.54941805001994, 12.596166129750449])", "action": "('move', [85.56544251482192, -282.54941805001994, 12.596166129750449])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTElEQVR4nO3dX+jddR3H8df3nPPbsl21IIqVBCND66YI0hoaUbPVYiXhRGQUSWIElTYtsnYVxITQ6Ca6KRoERX+YJFTaH1FUMiOzi4Jo0239UZCQtbad7/l28T1FyUrnfr/O93fej8fV2NWH3/k9z+d9Pt/v9/yarusC1DBa9AKA/x/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgWXOzWbpu0YsgieBZa7NZRqM0Tdp20UtB8KyprstolLvvzhNPZDy2zy+e4FkrbZumyT335O1vz5VX5r770jSLXlN5TeddlzUwmyXJk0/mXe/KL36RrsuWLbnjjrzudWnbjMeLXl9VdnhWX9fNh/n9+/Pww1lZSdPkDW/I+eenbTPyS7c4dnhW33SaySQHD+aKK+bxn39+7r03L3/5/AyPRfGzZ5V1XcbjHDuWz3xmvp93XT7/ebUPgh8/q6zr0jT57GfzyCOZTDKd5oMfzFVXzYd8FstIz2rqa//mN7N797z2iy7Kz36WzZvTNE7pF0/wrJq+9scey5velGPHkmQ8zsGD2bHDMD8UXgRWTX8L7cc+lqNHs2FDui433JAdO5zMD4jXgdUxnWY8zpe+lO9+N+NxTp7MJZfkxhvn2z4DYaRnFfT30vz619m5M0ePJsnGjbnzzlx22fwSHQNhh+dc9Xv4009n79489tj8OZmbbspll6Vt1T4sgmcVjEb5ylfygx9kZSXTabZty003ZTr10X1wjPSck357f/jhbNuWkyfTddm0Kfffn9e+1qf3IfIOzDnpuvz977nuupw4MZ/e9+9X+3AJnuevv962b18eeijjcU6dyq5d2bPHc+/DZaTneeqP3++6K7t25dSpzGbZsiV33ZULLnCbzXB5WXg++qSPHMknPpG//S1dl8kk+/blggvcZjNoXhnOWv/5fDTKrbfmkUeyYUPaNldckT17cvq02gfNSM9Z62+z+d738t73ZjxO2+aVr8z99+elL3VWN3TejTk7/VOuR47k5puTzLf6225T+/ogeM5a0+RTn8rvfjd/APb667Nrl9rXByM9Z6E/q/vqV/OBD8xrf/3r88MfZvPmJIJfBwTPc9XX/tvf5q1vzR//mCTnnZfvfCeXX+6LaNcNIz3PSf+1022bvXtz7FhWVtJ1+ehHc/nl8wdjWRcEz3PS/1WJ22/PHXfMb6rbti2f/KRvqltnjPQ8u36Y/+Uv8+53509/SpLzzsuPfpSLLzbMrzPenHkW/fH78eO58cb5l1u0bW65JRdfnNlM7euM4Hl2TZMvfjE/+UlWVtK2edvbcsMNbqFdl4z0/C/99v7AA7n00rRtZrO86EW5775ceKEL7+uSt2j+q/6vRB0/nuuuy+nTmUwymeTWW3PhhZnN1L4uCZ7/qh/aP/3p+d+QOXUq73tfrr5a7euYkZ4z6x93//73s3t3Tp5M2+YVr8iPf5ytW53Mr2N2eM6gP34/fDg335zjx9N1WVnJ5z6XrVvdZrO+CZ5n6me+psn+/fnNb+aPu191Va6+ev5JnvXLSM8z9cfv3/pWrrxy/oTM1q158MG8+MVO5tc9wXMGR4/mzW/O4cNZWclolIMHs3272peBkZ7/0L//f/jDOXw4Gzbk9Ol85CPz2lkCguc/9Hv47t159atz6lQuuSS33DK/IG97XwJGep6pb/v3v8/tt+ed78w73uE63PIQPGfw718sb29fJoLnzHS+lHyG58zUvpQED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCJ5h67pFr2CpCJ7Bm04XvYLlIXgGbDpN02QyWfQ6lofgGaS2TdflgQfyoQ/l61/PiROLXtCSaDqfkRig6TSTST7+8dx2W172svzhD9m4cdFrWgZ2eIanbTMe59Ch3H13JpNcc43aV4vgGZ6uS9Pknnvy6KPpurz//fP/5Jw5DmFgui6TSf7613zjGxmPs3Nntm5d9JqWhx2egel38qeeyuOPZzrN7t3ZuDGzWZpm0StbBg7tGKS2zaOP5sEH85735CUvmQ/5nDPBQyFGeobnX5uQe+xWm+AZmK7L3r05cCB//nPGY4fzq8tIz2D0J3M//3ne+MYk+drXsmfP/A4cVokdnsHog//ylzMa5TWvyc6dmc0yHi96WUtF8AxD12U8zuOP56c/zWyW7duzebPD+VUneIahfzDu29/OoUPZtCnXXpuuy8jv5yrzA2UA+rvrTp7MnXem63LppbnooiS291UneAagbdM0uffePPRQui7XX7/oBS0twbNo/eh++nQOHMhTT+VVr8pb3pLY3teECx4sWtOkadJ1ueaaHD2aHTuyadOi17S0XIdnAGazJBmN8vTTWVnJC16w6AUtLcEzGC7CrT2f4Vm0rsuRI/nVr+b/tgOtJcGzaE2TffuyfXu+8IX5Dq/5NSN4FqcP+4kncvBg/vKXHDqU/PMSHWtD8CxOf1Z34ECefDJbtuTaaxe9oOXn0I5FO3EibZvRKC984aKXsvwED4UY6aEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQv4BjSivN8925j4AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGv0lEQVR4nO3cvYtcVRzH4d+ZmWyVKgFRxCoIAUkhaBCxCIIkWEQFjUIK3y3E/8Def0AEUVDQ0kRDmoioaF7YIARSxARBMdhZ+AJuoWTmHosJaS2c9Y77fZ5qmepwmc+eOefce1vvvYAMk7EHAPx3BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM+66716H3sQO8Vs7AHAP2ht7BHsIGZ41tFyVr9+vd54ozY3a2tr7AHtFIJnHc3n1VqdPl2vv14PPljHj9e1a1VVwzD2yP7n/KRn7fRe02n9sVVnzlRr1VpduFAbG1byK2CGZ+0sFjWZ1Deb/fz5obUahnri8b5vXw1DTXxh/x3Xj/WynN6r6syntbXVqmo2q5dfaWpfCZeQ9dJ7tVbXf+wnT/RJa73XffcuDh6sycR2/QoInvXSWvVeZ8/V9Z/abFf13l99bTr2oHYOwbNeWqsbN+rtt1tVm8/rttuGI0d6lR271RA8a2RZ9eXLtbnZZ7Mahnrh+emevW35O59/T/CsnXfeqdbaMNTGRh19rKZT0/vKCJ51saz6l1/q1KmqqmGow4frwIEyva+Q4FkXi0W1Vu+/13/9tVqr6bSOHq3du29+zkoInnXRWv35Z534aOi9D0Pt31+HD1eV4/dVci1ZC/N5Taf15Rf922vTaq2qP3xouOuums8Fv0rupWd8t/bkTp68+WDcnj3tyWP26lbPP0/GNww1m9bVq/X1udZaVfUD9yweeqgtFjUzJa2U4Blf71WtPv9s+OH7obVqrT373MS9tNtB8Iys95rN6vff6uNPWtVkGOrOO/pTx9qtp2hYIcEzsuVC/dKlfuFCzWZVrY4d67t3jz2sHUrwjGl5U818Xic/afNFq6rqw4svT2zXbRNbIoystfr55/rwg5pOaj6vRx9td99t9b5dzPCMaRn28jRuMq2qeumltmuXA7ntInhGtpjXu+/2qprPa//+euCBKg/DbhvBM5rlu6i/OltXrrTJtHofnnm63367d9dtI9eV0QxDtVZvvTks/967tz3ySC3fWsk2sWnHOJbT+Hff1cWLy835OnSo3X+whsHx+zZq3WqJ8dy4UX/9dfNwbmOjNjbGHtBOJ3gIYg0PQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4GLIsMITqlCOQAAAAASUVORK5CYII=", "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": "232f99eb389c2fd210b303db6fbcac800d0e216b05c7caa2cfa33a3f04136611"} +{"episode": 33342, "episode_seed": 3654498251, "split": "train", "timestamp": "2025-09-15T23:18:45.276983", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3654498251, "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', [1.9885861346748033, 1.5545450351111507, 45.4120545782142])", "action": "('move', [1.9885861346748033, 1.5545450351111507, 45.4120545782142])", "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', [1.9885861346748033, 1.5545450351111507, 45.4120545782142])", "action": "('move', [1.9885861346748033, 1.5545450351111507, 45.4120545782142])", "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', [1.9885861346748033, 1.5545450351111507, 45.4120545782142])", "action": "('move', [1.9885861346748033, 1.5545450351111507, 45.4120545782142])", "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": "1ab83741b8a71deee586f5c001f4c7544d418cf8660990e35b979dcd7eedfa44"} +{"episode": 33343, "episode_seed": 2289598839, "split": "train", "timestamp": "2025-09-15T23:18:46.218652", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2289598839, "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', [17.956923080829736, -16.084920085330094, -27.442025925980577])", "action": "('move', [17.956923080829736, -16.084920085330094, -27.442025925980577])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKhElEQVR4nO3dTYhdd/3H8c+dezPT1gzV2IxKdWNFCt20+IAQ3HREBWlVAoJQBEXE+oBoKT5E0E1Ii1KkSOlUV5biwqJQDGopXdho3VkXdZEitYVIHBKbimZi7sNxcW+nU/78NWdi586Z7+u1C2TxI/C+v4fzOye9pmkC1LAw7wEAO0fwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPA7bTzOaDTvQVBVr2maeY+houm/eq8373FQjBl+54zHSfLQQ7n33vR6s9r93rKTBL9DJpP0+3nuuRw7li9/Oaur+c1vkqTXS9NkMpn3+KhB8DtnPM73v5+nn87SUh5/PO99bz772Zw8mV4vCwsZDs32vOoEvxOaJgsLuXgxy8tZWcnGRvr99PtZW8t73pO77srzz2ffvuSlZT+8Shza7ZCmmW3an3gia2t56KEkWVzMxYtJctNN+dzn8slPpt/PeJyFBed5vCoEv6NGowwGGY/zy1/mrrty4kSS7NuX4TBJVldz5535wAcSx/i8OgS/06bNJzl3Lg8/nG9/O6dOJZnN7fv350MfytGjue66JJlMXj7Ph8sn+DmYHsv3+0ly5kyOHs2DD+bs2dmJfZLXvCZ33pnbb8/KSpIMhxkMZM//gODnZnNXn+Spp3L0aI4fz8bGyyv8t70tR47kox/N1VfPDvOmvxGwbYKfv8kkCwtJ8tOfZm0tjz6abDnP++AHc/vtufXWJBmPNc9lEfyuMJlkMslgkBdfzMMP5+6788wzyUvneVdckQ9/OF/7Wm68cfb3t64O4NIJfhcZDmdP40+dygMP5DvfycZG8tJtvJWV3HZbjhzJgQOJ8zy2RfC7y/SO7XSF/8wzOXIkx4/n/PnZGX6St7wl3/pWPvaxLC8nFvm0JPjdaOuK/dFHc/Rofv3rZMsT+0OH8s1v5n3vy2CQ4TD9/uw3Av4zwe9q0/O8ySQ/+EHuvz9PPZVsyf4Tn8hnPpNDh5Itj/fhPxD8bre5V3/uuTz4YO65Jy+8MGt7NMrBg7ntttxxR669NnGYx38j+A5omoxGs/O8P/4x996btbUkGQxmH8+57rp8/vP50pdmC3vnefx/BN8Zm+d5k0mefDLf+EZOnJg9zJtmf+ONOXYsq6vZt+8Vl/lgk+A7ZvOWTpIf/jDf+16efjrZsrE/fDhf/3re8Y7EnVz+D8F3UtPM3rF/8cXcc09+9KP8+c/p9dLvZzTKFVfki1/Mpz+dt7898eiOLQTfYZsl/+EPWVvLAw9kPH55hX/99fnUp/KFL+TKK71jz4zgu23red4TT+TYsfziF8mWq/jvfGe+8pV8/OPzHCS7h+D3gs2pfmMjx4/nyJGcPJm8dIy/uJibb86xY7nhBlv66gS/R2zu6pNcuJDvfjf33/+KT2tcdVUeeSSrq7b0pQl+T9n6Yaw//Sl3352f/CTnzmVhITfdlMcfn93AN8mXJfi9aXMaf+yx3HdffvazPPJIbrnlFU/1KEjwe9bmO/YbG/ntb3PzzYm5vTzB73FeqmErwe99rtmySfBQiAMcKETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEDy01TSaTNM28x7Edvaab4wa2wQwPLQ2HWV/P+fNJOjfPCx7aOH8+q6t5//vz2GNJMh7Pe0DtDOY9AOiUwSBPPpnRKM8+m5jhYW8bDHLDDen38/e/J4KHva3Xy8pKxuOcOzf7Y6cIHtro9fLGN2YwyN/+liSDQbcmecFDS8vLGY0yHmc47NwM7zk8tHT6dNbXs7KSlZUsdGzKFDxsV9N0bobv2O8T7CJdqz2ew0NrFy7kd7/L+fN517ty8GC35nkzPFyy6f53fT2HD+fw4fz+90nHLtsJHlqazucXLuQf/5j3UFoTPLS0tJQ3vzm9Xl54IenYTl7w0NLiYl7/+jRNzpxJBA972+JiDh5MkjNn0jRZWOjQZTvBQ0tLS7Pgz57NcDjv0bQjeLhk09V7v59rrkmS9fVcuDDfEbUleGhjMkkyC/7s2c4F7+INtHfoUL761bz73VlenvdQ2nGXHgqxpIf2mibDYbfu2E2Z4eEyjMfp9+c9iBbM8NDG9NDu1Kl85CN561vzq18lXfqyneChvabJ88/n2Wdn367tzmU7wUN7y8u59tr0erPbtd0heGhjOpnv35/XvjZNk9OnO7Sej+ChnV4vk0n6/bzudUny17/OdvUdIXhoafo0bjP40Wi+w2lF8NDSdA1/4EAGg9kLc90heGhpuo2/6qqMRjl5Mv/617wH1IK79NDS9Fv011+fW2/N/v0deiYXN+1gm0ajTCZZXJz3ONoRPFyGTn2jOvbwsE2bM2WnpkzBw7ZMJvnxj3PHHfn5z5POZO/QDlpqmtlK/r77cuJENjZyyy3zHtOlMsNDS71exuMsLORNb0q/P/s6fUdmeMFDe9O8r74643H+8pd5j6YFwUN705P56ceqBQ8lvOENSfLPf2Y4nN3G2fW6MUrYXaYz/DXXZGEhFy9mfT3pxjZe8LBdBw/myiuzsZHTp5NuBO+xHLQ3XcAfOJClpezbl42NeQ/oUrlaC9t18WJOn579z1NLS/MezSURPBRiDw+XYXrrrjvs4eEydOpVuZjhoRTBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngo5N9GerzDdekr6QAAAABJRU5ErkJggg==", "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', [17.956923080829736, -16.084920085330094, -27.442025925980577])", "action": "('move', [17.956923080829736, -16.084920085330094, -27.442025925980577])", "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', [17.956923080829736, -16.084920085330094, -27.442025925980577])", "action": "('move', [17.956923080829736, -16.084920085330094, -27.442025925980577])", "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": "5be4dba7362892018f0a5fbbf3d105e95f5009db1a97b6a9413b529373df17f0"} +{"episode": 33344, "episode_seed": 2678233303, "split": "train", "timestamp": "2025-09-15T23:18:46.832594", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2678233303, "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', [6.265184586729603, -2.1554982665143934, -52.108937473376976])", "action": "('move', [6.265184586729603, -2.1554982665143934, -52.108937473376976])", "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', [6.265184586729603, -2.1554982665143934, -52.108937473376976])", "action": "('move', [6.265184586729603, -2.1554982665143934, -52.108937473376976])", "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', [6.265184586729603, -2.1554982665143934, -52.108937473376976])", "action": "('move', [6.265184586729603, -2.1554982665143934, -52.108937473376976])", "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": "155ee2d798feaca917a7b29f40544f4e6c34af37874576a3b9c4f459d2433932"} +{"episode": 33345, "episode_seed": 15945640, "split": "train", "timestamp": "2025-09-15T23:18:47.438765", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 15945640, "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', [-4.686066242866886, 0.6603908561408979, 26.538402559062547])", "action": "('move', [-4.686066242866886, 0.6603908561408979, 26.538402559062547])", "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', [-4.686066242866886, 0.6603908561408979, 26.538402559062547])", "action": "('move', [-4.686066242866886, 0.6603908561408979, 26.538402559062547])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKH0lEQVR4nO3dX6ikdeHH8c+ZmTPn7Ba4lckKlXRTF7HEXkT/iAgTSklchUwJMxZcu4igulCQ2ItIiiSwiDJbWLpKVtOklv4QSzdeJVQGdREheJGstCHonj8zZ34XMz9X+62iv6z1zOf1Yjkc5swenjnM+/k+8/0+z8zKbDYL0GFwoTcA+O8RPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZXegNgFdmMsnOzuL7wSAjT+FXYmU2m13obYD/v9ksKysXeiN2D7tHdo1520eP5ne/y+pqJpN8/OP53OcyH7Nk/3IY4dk15sE//HCuvnpxy2CQEydy6FCm0wyHF3TjdgmTduwa8zH8E5/ID36Q8Tjr69nZyeHD+f3vMxzGyPVyCJ7dZDbLbJbDh3PkSDY2srqaM2fy6U/nySezsnJuMo8X45CeXWZe9dNP57rr8pvfZDjMdJrrrsuPfpTV1QwGGRjFXpy/Da/QfJA977+Xvs+rZN7zvn05dizveEem06yt5YEH8o1vLJboDGEvwQjfZDY7z1Hv8ye7ds9893yW7tSpXHNNnn46o1FWVnL8eD71KRN4L0XwvKT5PmIwWOwFZrNsbGQyWQzaOzvZ2clslskk6+vZt28xk376dJ56Kpub2dhYfN3ayrPPZjTK5Zefu9u/Zx7297+fW29dHNjv25eTJ/O+92n+RQm+wzywf/4zf/5zRqPF2Wqbm3nd63LgQPbsSZInnsjJk5lOs7GxSHRzM1tbeeaZHDmSd787Sf7xj9xxR/70pyQ5ezabm9nczPZ2nnoqH/tYfvzjbG1lPM7hwzl27DybsbaWRx7JwYOvVpHzh/WFL+Tuu7O6mu3tHDiQX/4y+/f/+797OTnxpsN0mtEop07l2muzZ0+efXZx+/79OXUq73xnkjz6aG655fz//b3vXQS/tZWf/CR///t57vPEE+e+v+SSvP71WV/PaJTV1ayuZjzOcJiLL17sXF69Vw2zWb7+9fzlL/nFLzIa5Y9/zK235r77Mhwa5M9D8E22tjKbLWrfuzeDQS677NzJ6Jdemne9KxdfnJWVrK1lPM54nLW1DIeLPUKSiy7K0aM5fTrr61ldzdraoufpNG9/e5LFbzt8OFdckbW1jEaL5udfx+NcemmSV2smfWUls1nW13PvvbnqqvzhDxmP89BDOXo0X/va4rUIz+eQvsPzD+nX1jIYLIa/vXvzlrdkPE6Szc08+eTip6PR4j7DYQaDxXrXa9VzE3jXX5/TpzMaZTrND3+Ym2/OZOLqmhcQPK/Qv6y0Pff8eW4nkiwm8/7vcfvKyn9ox7G9ndXVF0zgvfGNOXEiH/mI5l9A8E3m8+r/0uHzCzxvpdlNC3Vf/nLuuitra9nczMGDefDBvO1trqg7R/AsifkTeWcnhw7l4YcXk/ZXXZX773+NvyL5r/JnYEnMx/DhMPfckwMHsr2d0Sg/+1luvz2DgdPvFgTP8phfP7N/f773vbzpTZlMsrqab30r99yTlZVMpxd6+14DBM9SGQwymeQDH8hddyXJdJqVldx22+Iym8nkQm/fhSZ4ls18lv4zn8kdd2RnJ+NxzpzJ5z+fxx9frNg1M2nHEpovGk4mufHG3H9/xuNsbeWKK/LAA9m7N3nVTvzZfVofN0ttPoE3Hufuu3PgQLa2MhzmV7/KbbeduwiokxGepTVffn/00Xz0ozlzZnEG8He/myNHelfmBc8ym5+Nc999uf76xeLc+npOnsyHP1x6pn3fI6bJYJCdnXzyk/nqV5NkPM7Zs/nsZ/P444sftRE8y2x+3L6zky9+MTfckM3NjMf5299y0005c2bxoyqCZ8k9dyR/5505eHAxgffb3+b227O9vXjDnh6CZ/kNh9nZyVvfmuPH8+Y3Lxbnjx3LvffWve+lSTtazCfwHnwwhw5lZSUrK9mzJw89lMsvL5rA63iU8L/j/DXX5M47M5tlOMwzz+Smm/LXvxZdXWOEp8j8yT6Z5PDhxQdXbG/n/e/Pz3+eiy5KdseF//8WIzxF5u+BNxrlm9/Me96zuIT2kUfypS9lMsl0uvzjvODpMl9+v+SSHD+eyy7LdJrxOMeP5zvfyWi0/ME7pKfR/I3ufvrT3HBDNjYW79N54kSuvHLJP8TCCE+j+YdxXH11vvKVxbk3Z8/mllvy2GOLub1lZYSn3c035/jxrK9nYyMf/GB+/eusr1/obfqPMcLTa37Z/Le/nQ99KBsbecMbcuWVS74gb4Sn2vw62ccey9GjufHGXHvtuRuXkuBpN3+3/s3N7N2b6fTcJ+UuJcHDQsMJtsv++ODlmc2Wv/YIHuaW+DD++QQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4HE4eQ6zu1s0MAAAAASUVORK5CYII=", "image_next": "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", "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', [-4.686066242866886, 0.6603908561408979, 26.538402559062547])", "action": "('move', [-4.686066242866886, 0.6603908561408979, 26.538402559062547])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFd0lEQVR4nO3ZTW4TSQCA0Wo7sQPiAIg5Bjsuxtm4DguWbNAk7pC4ZuFMhh9pGJERRvreUyuqarejWvSXlNvLnHMADZtzLwD4dQQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ8jFuRfALzXnU3/Dsvwf6+BMBN9y3lzv78e6juNxvHhxzmWUCb7i7m7MOY7Hr35+O72fc47jHPO43N2PdR2Hw8PxOD4Nvn9pXcfNzVjXsa7j5vq43szD9VzXeThdebtZb5fPd5s5x5s34907O4XzEHzCx4/j7duHGr8+5rouh8O4vR2H6+Phz/vbu2X9vMyxPO35znfvXcby9/7i06cxp+DPY5lP/1THb+/Dh/HHHz+4ZlnGshnLMjbLPzV+meVpIzDHmHPM488/Dnj1arx/P7bbn3w7T+E/fMLz5z++Zs4x78cY4/5frxrjuN/M3bOx2y37Z8tuv+x2y34/drux34/Ly7Hfj9P0dJymj+cvL8fLl2Pj26EzEXzCbjdevx4XF+Pqalxdjd3uYXCKcL//6vxp+nj+dPLycmy3Y7NZtqdjOzbbsb1Ytttluz29NC4uxmYzTtPTmccBvwlb+oQ5x/X1WJaxLGOzeRh8Of41azjda3Paz5+N4PnWl3fEf787fvhXw1O634HgIcSnKwgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngI+QtSJMjixVMRFgAAAABJRU5ErkJggg==", "image_next": "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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": "18d99a804c551eba7502aa14cdaa648d136c8c5203551c6d78aef4fae80d09ca"} +{"episode": 33346, "episode_seed": 4163295142, "split": "train", "timestamp": "2025-09-15T23:18:48.044283", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4163295142, "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', [-6.525655667378064, -4.725704370536134, -10.45338211765189])", "action": "('move', [-6.525655667378064, -4.725704370536134, -10.45338211765189])", "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', [-6.525655667378064, -4.725704370536134, -10.45338211765189])", "action": "('move', [-6.525655667378064, -4.725704370536134, -10.45338211765189])", "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', [-6.525655667378064, -4.725704370536134, -10.45338211765189])", "action": "('move', [-6.525655667378064, -4.725704370536134, -10.45338211765189])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALR0lEQVR4nO3dXYhUZQDG8efMx66SaUqE1EXahVixGpFYIEVeGCX5sbQoSqVkqbEWiZJWlhJkmJJYfiBJmaKymhsaVBCGmxWhSGgmmYhCBZalUu62szNzujjHNTDTVWdn5zz/34UX5sXR5r/ve97znneCMAwFwEOq3BcAoPMQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBF9CYahisdwXAfwLwZdQECiVonl0IQRfKoWCikX98otSKRUK5b4aQBLBl0gYKp3W0qUaNUp79iidVrGoMCz3ZcFeEPIxLI2339bzz6u5Wf36adMmDR2qMFQQlPuy4I0RviSKRTU0qLlZVVU6elSjR2vXLgUBgzzKjOBLIgi0caOGDVMup6oqHT+u0aO1Y4eCgLk9yongSyIMddNN2rxZ998fN//HH6qr06efxmt4NI+yIPiSiKru21cbNuiBB841P2GCtm1TJsO6PcqD4EslnY6bf/99PfywcjllMjp5UpMna8sWZTLM7VEGrNKXVqGgdFonT2rKFG3dGv8U6NVLq1Zp/PhyXxz8EHzJFYtKpdTSoiee0MaNymSUz6uqSqtX6/HHVSwqCHhch07ClL7kot213btrzRpNmhTXnsvpySe1ejVreOhUBN8Z2ptfuVJTpyqXU3W18nnV12vZsngNj+bRCQi+k0TNV1dr6VLV16u1NV63mz1bixezhodOQvCdJ5VSGKpbNy1Zopkz1damMFQ+rxde0MKFSqe5k0fJEXynipqvqtKiRZo7N35ztq1NL72k+fPjP8M4j9Ih+M4W7a5Np/Xaa3HkmYzCUAsWaO5c5fOSeIUepcJjufJof3Nu4ULNmxev1ReLmjnz3PQ+xU9jXG0EXzZhqDBUKqXFizV7djzOFwqqr9ebb8bBc1ePq4vgyyk69C6d1rJlevZZBYHSaeXzeuoprVoVv05L87iKCL7M2sf5lSv19NOS4q14kydrzRqax1XGbWKZRftqw1DTp+udd5TNKp9XJqN339Wjj6q1NV7kA64KRvguIfqfEARat07Tp6ulRUGgQkF1dVqzRtdeG2/IB64QwXcV7XP7TZs0ZYqam+Ol+zFj9N576tlTEnN7XCmC71qi+fwHH+ixx9TcHN/PjxypDRvUsyf387hSBN/lRM1v367x4+NjMHM5jRihhgb16sXcHleE4Lui6NiMjz/WuHH688+4+eHDtXmz+vSJ/ytwGRgsuqLoiysefFBbtqhPH+Vyyma1Y4dqa/Xrr/GxOcBlIPguKlqxGzFCW7aob1+1tSmb1c6dqq3VTz/RPC4TU/ouLZq9f/216ur088/KZtXWprvu0ubN6tePNTx0GMF3dVHzu3errk7HjsXNDxqkxkbdcgtreOgYgw9LsVjRW9Wi3fVDhmjrVvXvr7Y2VVdr3z6NGqUffuCradExSQ8+GgEr/Fvao6fxd96pxkYNHKjWVnXrpgMHNHasvvsuXuEDLkXSg0+ltGePvvqq0ie+0UGXgweroUE1Nfr7b1VX6+BBjR+vXbvig3SAi6rsDC6uqUmjR6u2VkeOSJV9lEy0Ml9To4YG3XGHWltVXa0DB/Thh/EfoHlcVHKDjz7+hYLOnNHx43rmmfjVs0rOImp+4EA1Nuqee9TaqjFjNGdOvA+fFXtcVKJX6aMF7uXLVV8vSW+8oVmzErCuHf21Dh3S+vV67jn17k3tuFSJDj7qoFjUxInatEk9euizzzR0aAKa//ffgNpx6RIdvBR/dduPP2rkSB0+rMGD9fnn6t07Ac1HnVM7OqSyP/QXFz2QGzBAixYpm9W+fZozRy0tUsWvcUWdUzs6JOnB6+ybKGPHqr5eYagvvtCpUzzIgqdMuS+gU0Tj/Lx56tZNkybphhsq+vkccNmSfg//n9pvfCv/Th7oEL+Pe7SM9/vv2rmTiT3cmAUf1b5/v2prNWKEdu+u9K04QIeYBR9N5lMpHTqkXE4zZuj06fj3AQNmwUd7U2+/XW+9pe7d9c03WrAg3pxD8zBgFrzONv/II5o0SZJWrFBDA0dGwYTlKn3kr790333au1e33aaPPlL//izaI/FcP99hqB49tGKFevfW999rzhydPs22NSSea/CSikUNHaoXX5SkxkYdPcqKPRLPY6fd+aK2w1BTp+rECQ0ZogED4u13jPNILuN7eMCP8ZQ+Ev28i37N5fTtt/Ept/wcRBLZB9/+TvmpU5o2TcOGaft2Dn9GUtkH3y6fV1OTzpzRrFk6diw+JhZIFoI/O8hff73Wr1f37jp8WPPmJeDES+B8BC9J8e7au+/W/PmStHGj1q1jEw6Sh1X6s6J/h+ZmTZigbdt03XVqalJNDafGIUkYxM4KAhUKuuYavfqqbrxRp05pxgz99pvEu3RIDoL/l2ihbtAgvf66Uint3Kkvv+ROHkniutPuQqIHchMnau9e3Xyz7r1XYu8dkoN7+PNEN+3RV7cBycKU/jzRHL66+tzJtkeOqLWViT0SgOD/S/t9e3Ozli/XoEFauzZ+dAdUMoK/sCBQS4u2btWZM3rlFR04wCm3qHTcw19YdADOwYN66CEdParhw/XJJ8pmy31ZwOVjhL+wVEr5vG69VXPnKpvVjh16+WVJ7LFH5SL4/5VOK5/XlCkaN06S1q7V/v28S4fKxXP4/xUESqcVBFqyRCdOaNo01dSoWFQ6Xe4rAy4H9/CAEUb4SxMdgCfxCh0qGiM8YITxCjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICRfwCbtD4iFLdRywAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxUlEQVR4nO3dS6xdZRnH4XetvfehkYkxDNGBNFQjhpAgySGkKFIUJCRYUgZFaKCEViIql0CgDbEIxIRE6oxoGDQ4asqQqIFwTRobAlYSbYWicomOQFp6PXuv5WAXGg0gA+V49v95hmdP1uD88r1rfevS9H1fQIZ2sQ8A+OQIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoLMcvB9v9hHAP9nZjn4pqmqevPNOnxY/FA128EfPFgPPFArVtT27dU0NR4v9gHBYmv6GV37uq7WrKkdO6qqTjutHnusTj+9+v74sg+ZZnOF7/vq+zrllKrqh8Pat6//4fcnC8eO/wSxZjP4pqnBoB78ac2fW+NxjUbNY79qH9zaWd4JN8sjfdvWrl39qgu6/QcH7aCWnVSPP17z8wZ7cs3mCl9VbVuTSZ1zTnPv/e1g0I8GdehQbbxhcuBANU113WIfHyyGmQ2+qtq2uq7WX9+sXl1Hj9VwWLtfam+7pV9YqPHYyTyJZnakn5pMqm3rlVf6VV/v/vr6YDiqk+bq4Yf7NWuayaQGg8U+PvhkzXjwVTUN+9Ed3Zorm2qaybhOPbWefLKWLy/Nk2aWR/qpwaAmk/r26va7G2syrtGo3nijbr+9jh6tpjHYk2X2V/j3vfturVxZL75Yo1EtLNTWrXXTTccv5kOIlOCnW3HPP1+rVtWBA9V1tWxZ9/RTzVfOaezSkSNodeu6Ovvsuvvu46fuhw+3G26ot96qrjPYkyIl+KappqnJpNavr8su7cbjfjSqF37XbPlRPxjYlidFykg/NV3bX93Xr7qo/vyXZjCotrpfPlJXrGnHCzUcLfbxwf9Yygo/NRjUeFyfP63ZsqUGTd93dWyhvWtT8/LLNRxZ55l9WcFX1XBYk0mtXdtcd203mfRzc/Wnl5tNm/rJpMqzdMy6rJF+anpZfv+BWnlev/v3zWBQk8nkZ1ub793UumLPbEsMvt5rfufO+sZF/cFDTdPUySf3Tz3VnHWWZ+mYZXEj/dT0iv38fG26q++6rmlq//5mw4Y6fNjtd8yy0OCrqm2r7+sHN7eXX96MxzU3V7t21Z13VpW33zGzQkf6qeku3Usv1aWX1muvVdvWspNq27Z+9RXNeFzD4WIfH/y3RQdfVdOwH3mk1q3r27YZj2vFiv43v67Pfq5xmz2zJ/0/ejisrqurrqp162phoQaD2rOnv+3W/sjhvuzSMXPSV/h67xW377xT553b/WFPOxrVeFwPPVTXX++KPbNG8FXv7dI990z/ta/2k2qr6uRPdTt3tmd8WfPMlPSRfmr6WsvzVjb33t/2fY1G9e7Bdv213dEjVQZ7ZojgT+i62rCxLv5md+xYPxzWb59vN2/upzv2MBuM9CdMd+n2/LG78ML629+btm3m5vrt25tLLim7dMwGK/wJ07fffeGL7T33tKNR0/d16FBz8821b9/xn2CpE/y/aNs6dqy+c3VdeWVNJjUa1d69dd99NZm45ZZZYKT/d9PL8m+/XfPztXfv9I2X/S9+XtetdysOS57gP8C0+aefrosvroVxjRfqM5/unnm2+dIZ3njJ0mbB+gDT6f388+uOO/rxQj8c1lv/aDdu7I8cMdWztAn+g/V9dV3dektdeEE/fePls8/Vj7dMpt+rgyXKSP+hpmfsu3fXZZfV629U29Ro0O14tLnkW75Lx1Jlhf9QbVsLC3XmmXXnHV3f9U1TRxfazZubV18t6zxLlOA/yvRZuhs2tlev7cfjfm6uXnixtm2zRcdSJfiPMv18Rd/XTx5oly9vjh6ta66ptWs9UcNS5Rz+P5vm/cQTtWdP3Xjjib/AkiP4j+X9wqcPz7v9hiVK8B/X9JuTbWttZwkTPAQxm0IQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQfwLXnD4rz9SkLAAAAABJRU5ErkJggg==", "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": "3d138467f41817c885cd71e9ca34f6d32dee60d6bb7b4fd266a55f4793261de9"} +{"episode": 33347, "episode_seed": 3991936173, "split": "train", "timestamp": "2025-09-15T23:18:49.000872", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3991936173, "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', [0.23102068016232077, -0.3056371396847647, -40.45671337597065])", "action": "('move', [0.23102068016232077, -0.3056371396847647, -40.45671337597065])", "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', [0.23102068016232077, -0.3056371396847647, -40.45671337597065])", "action": "('move', [0.23102068016232077, -0.3056371396847647, -40.45671337597065])", "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', [0.23102068016232077, -0.3056371396847647, -40.45671337597065])", "action": "('move', [0.23102068016232077, -0.3056371396847647, -40.45671337597065])", "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": "27234b6ec46e0935bc8e425c2a54f5a32157da8252831a10efb1662d848fd456"} +{"episode": 33348, "episode_seed": 2665978609, "split": "train", "timestamp": "2025-09-15T23:18:49.611305", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2665978609, "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', [-0.1853784495083249, 2.5397379937348323, 57.91153921636825])", "action": "('move', [-0.1853784495083249, 2.5397379937348323, 57.91153921636825])", "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', [-0.1853784495083249, 2.5397379937348323, 57.91153921636825])", "action": "('move', [-0.1853784495083249, 2.5397379937348323, 57.91153921636825])", "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', [-0.1853784495083249, 2.5397379937348323, 57.91153921636825])", "action": "('move', [-0.1853784495083249, 2.5397379937348323, 57.91153921636825])", "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": "45d78b1a739ae02de9d3f2b0198ac0f4e08b6d79392fa802c418c8345b572a19"} +{"episode": 33349, "episode_seed": 939458229, "split": "train", "timestamp": "2025-09-15T23:18:50.227454", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 939458229, "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', [42.9358057618111, 25.857468562792477, -5.1821695657085725])", "action": "('move', [42.9358057618111, 25.857468562792477, -5.1821695657085725])", "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', [42.9358057618111, 25.857468562792477, -5.1821695657085725])", "action": "('move', [42.9358057618111, 25.857468562792477, -5.1821695657085725])", "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', [42.9358057618111, 25.857468562792477, -5.1821695657085725])", "action": "('move', [42.9358057618111, 25.857468562792477, -5.1821695657085725])", "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": "5015b59ad5f6ad4c50757586bf63031b8afdeddc2e2a2d95ef5e7d9734725f68"} +{"episode": 33350, "episode_seed": 2794008249, "split": "train", "timestamp": "2025-09-15T23:18:50.836972", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2794008249, "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', [20.67630171702562, -24.368039729100644, -22.785214990821974])", "action": "('move', [20.67630171702562, -24.368039729100644, -22.785214990821974])", "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', [20.67630171702562, -24.368039729100644, -22.785214990821974])", "action": "('move', [20.67630171702562, -24.368039729100644, -22.785214990821974])", "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', [20.67630171702562, -24.368039729100644, -22.785214990821974])", "action": "('move', [20.67630171702562, -24.368039729100644, -22.785214990821974])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHcklEQVR4nO3bX1NV1x3H4d8+KB3/zmBMGI3RJlSKZqoVY2wvkleRF5BXmPu8gDaNQY2JaYDGOm2sGEtbShwTkLN3Lw6FI3Um05nAof0+z3DDYXNmMcOHtfbai6brugIy9EY9AGDvCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ4IXVf9frXtqMcxak3XdaMeA+yKtq22rcEv+MGDox7N/iB4/q8MCm/bapo6cGD79e++q/v3q2lqerrGxkY3vlETPP/zum7zo9erptl+/dGjWlio+bvt/FfN/fvN55/X2bP1wQc1MVFd99yVOQ788CWwb2xNT8O5Ns32p3fv1u3bdftW9+Xvu4ePeo+W6vFfq2rzyw8e1OpqTUzs4Yj3GcGzr23N3lU1NrZzWu736x9/r5u36saN7uOP2oXFZuWfvSdP6vvvm63Ih3em19fr3r06d26vRr//CJ59Z8d9+HDk335bq6u1tFQ3b9bcXH38m43Fr8bWN5qua6r+89a8q6rjx5qjx2ryZP/q1eat672ZmaoKXc+Xe3j2ia0d9R2bbWtr9fBhPfxL+6c/9+7cqU8/rVu32uXl7Ql8MO1vbGx/y/h4nT5dp07V2TP9S5ebK7O92dmanNzbn2e/EjwjM1irt231etUbOhGy/LdaXKjF+fbeH5uFxWZ+vr78ot1ot68YH6+uq2fPtl5oT0zU+ene9HRNTdXMTM3M1IULNT6+/Z79/uas3ss+eiJ49sILN9uGzc/XZ5/Vndvt/GLz9dfNgwe1tNRWbc7kg2m/bavf3/qO/vmp5tIve5cv14WZ9uzZ5sxrzenTz73ns/WqZvOvSewafgfBMxqrq5v34Z/8buOL+bGVlWZlpZ4+7YY223Y6erSuXKlr1+rtt+vihe7ESzUx0Rw+vH3BYNof5C3yFxI8u65ta22tnjypx49rbq4+uVEf/XZj4Q9j6+vN0LJ8WFdVhw81h4/UyRP92av1q1+PXb9eMzN16NDOM3ODM7ODJ3PDz+d4IcGz65aX6/33a26u/eab2npINpiBh5bodfBgvfxyTU7Wq6f6s7PNlbd6167Wq2de8IaDm/9B2wr/rwieXbe6WqdO1dOnNf6T6trnNtuOH6upn/WmpuqNN+rixXrzzbp4sXas0rX9I/Icnl135Ei98059+GGtr1VV/9xrzS8u9y5dqunzzeuv17mf7jwJ8+zZ5uJ8sArQ+Y9I8Oy6sbF67706c6befbd+Pt175ZV66WQdP15b+3ODzbbm3zvq/rNt91jSsxcG+2rDz8A3N9uqGtP4HhI8e2frVLzCR0XwECT7nCGEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+Rd+qV/ox7dwuwAAAABJRU5ErkJggg==", "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": "0fa92229074c60887ca7434d30b13110ba3631ed6b5d6fa7c145a78756bb52d8"} +{"episode": 33351, "episode_seed": 2462022713, "split": "train", "timestamp": "2025-09-15T23:18:51.782993", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2462022713, "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', [-1.916371554030673, 2.1508896578242056, -22.87949848299833])", "action": "('move', [-1.916371554030673, 2.1508896578242056, -22.87949848299833])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALIElEQVR4nO3dXYgV5QPH8d/MOetbtlmpYRemkL2Xkq6LlqkloqVJUZJCL4hERQVdRt5IRXeFECFFUBSoS+lFC75sJeaqmGUZbrEiEoZKkL25tmvnnJn/xcxfSTKiPWdndn7fD13sOVeTzPc8M888MxPEcSwAHsKsNwDAwCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgxDv4OFatlvVGAAMniOM4620AMEC8R/iDB/XGG0p+8vjhgwHv4Fev1tNP65FH1NurIKB5FJ5l8HGsOFZnpzZtUhjq5ps1fLiqVQVB1lsGNJZl8JKCQC++qFpNt9yixx5TFCl0/aeAE7+9PBnJ29v12Wcql7VihcaOVa1G8HDgupe/+676+nT99VqxQrWampqy3iBgIJSz3oABVypJ0tq1am3V+PEaMYK5Ovjwuw6fLLYpl899ZK4ONsyCr9XSEV6kDkc25/DJ79qpU3r8cb32mk6ePPclYMPsHH7bNr31liS1tOj22/8y4AMGnILv69PLLysMtXixpkyRxKU4uPHY45PT9ffe0zffqKlJK1dq5EiW1sGQx6RdFOn0aU2bpkOHtGSJPvxQQZD+BzgxGOGrVYWh1q7V4cMaMULPPKNSSVFE7TBU9OCTRfI//KB33lEUaf583XWXoujcdXjASdGDTxbJb96sb79VqaRVq7gUB2dFH+jKZUWRHn1UY8fqq680daokDuZhq+iTdnGsKOJiO5AoevBnJf+bjO3wVvRz+DVrtHKlvvuOi3CACnsOn4znx45p1Sr19GjiRL3wAgtpgeKO8EGgV19Na58/P+utAXKhiCN8FEnSkSN6+22FoZYsUUuLqlWuvQMFHeHDUK+8ot9/17hxeuopxTH3yQAqYPC1moJAX3+tjRslaflyTZrEMyqBRLEuy5296v7ww3r/fV1xhQ4e1GWXMUUPJIo17iW1HzyovXsl6dlnNXo0tQNnFWuE1/9n7Lq7tWaNXnpJl19O7cBZxQo+eYeUeJQN8PeKFfxZLKEH/k5RRsLkZ2v3bs2bp61b09oL+VsG9EOx1qKsXq1PPpGk1laNGsWT54HzFGKET8LeskXbt2vIEC1ZolGjVKlwJg+cpxDn8LWaajXNn68dOzR9ujo6dPHFEjfDAucb/GNgtapSSRs36vPPVS7rySfV3JyutwPwV4M8+GSR/KlTevNN9fbq1lu1bBnPqAQuZJAHnzyCuq1NnZ2S9PzzGjqUsR24kMEcfByrXFZvr3buVKWi2bO1aBEz88A/GMyHvkGgONbw4Xr9dY0bp4ULOZIH/lkhZukB/DuD+ZD+rDhWtZreNgPgwhjhASOFGOEB/DsEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASM89TEztZqiSGHIS24xcHjEVTaS1IEBxk6XjTDU/v167jmtWydJtVrWGwQPHNIPtGRsX7pUnZ06cUJz5mjRIo0cyZiPgcAulo2hQ3XihMplHTigrq70nRpAoxH8QEtehPXEEwoCBYF++UV79vCCLAwQgh9oSditrZowQZWKJLW369QphSGDPBqO4LNRLuvBB9M/du3S999nvD0wQfAZSEby+++XpCDQmTP6+OP0b6ChCD4z11yjyZNVrSoItG5dengPNBTBZyCZk7/0Ut13X/qS+y++0KFDkjiNR2MRfDaSV93Onq2hQ9O/N2yQCB4NRvDZSNbY3Hijpk1Ll9lt2sTFOTQcwWcjCFStaswYzZmTfjxyRPv2KQh4zz0aiOAzkxy9z5qlSy5RHKuvT21tEuvq0UgEn5lSSXGsGTN0002SFEXasUOVSvo90AgEn5kwVKWi5ma1tqan7ocPa/t2BQGDPBqF4LOUPPri3nvV3CxJv/6qTz/lRho0EMFnKQwVRZoxQxMmSFIQaPdunTypcpmpOzQEwWcpGcyHDNGCBZIUx9q7V/v3M1ePRiH4jCU3yT30kIYMUamkP//U7t2KYx6GgYZgt8pYclf8lCm67rp0rq69XT/9xN2yaAiCz4tlyySpXNaXX6q7W2KZLRqA4LOXhL148bmPHR0c1aMh2KfyYuJE3XabqlVJ2rBBvb0SgzzqjeCzl8zVDx+uBx6QpKYmdXfrwAFqR/0RfC5EkYJAs2Zp2LB06m7dOu6cQ/0RfC4kbU+apLlz0yvwH32kM2ey3SgUEMHnQhiqWlVzs+bOlaQg0PHj2rmTFTioM4LPkTjWzJkaM0ZxrEpF69dLInjUE8HnRXIjzfTpmjpVkuJYe/aop4e7ZVFPBJ8XQaBKRU1NmjkzvQJ/9Ki2bpWUXqsD+o/gcyQZ5Bcv1ujRktTTo46OdO0tUBcEnyOlkqJIkyfr2mvTb/bt048/crcs6obg8yW5IL9ggYJAYaiuLnV2SjzoDnVC8PmSHNUvXaqLLlIU6cwZ7dqVfs/UHfqP4PMlWWZ79dWaMiU9e9+2TUePcrcs6oPgc2r5csWxSiV1damrK+utQVEQfE7dc4+GDUvfRbNli2o17pZFHbAT5U5yEW7cOM2Zk87VffCBfvtN4m5Z9BvB51HyStmlSyWpXNbx49q3j9pRBwSfR8mR/IwZam5Ol9mtX88KHNQBwedREvb48Vq4MP3Y3q7Tp7PdKBQBwedR8rapESM0b1462v/8szZvVhyz5A79QvC51tKiK69UFCmK1NbGW6jQXwSfU8lbqG64QTNnpt/s2qVjx9Lvgf+G4HMqOapvatIdd6hUUnOzWlr0xx/M26FfyllvAC4oWVd/990aOVJ33qmrrkq/ZwUO/rMg5qRwkEhm74D+YLDIuzhWrUbtqA9GeMAIIzxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wGR0qcztqApyQAAAABJRU5ErkJggg==", "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', [-1.916371554030673, 2.1508896578242056, -22.87949848299833])", "action": "('move', [-1.916371554030673, 2.1508896578242056, -22.87949848299833])", "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', [-1.916371554030673, 2.1508896578242056, -22.87949848299833])", "action": "('move', [-1.916371554030673, 2.1508896578242056, -22.87949848299833])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIwUlEQVR4nO3dX8iedR3H8e913c+afyaTdMuZMIVUnMjmGhgpKkHzIPLEIZp2kNKUOrJI0CLsKDzIoEAqDWEqnrQDZ5bg1DDCQjdo/hlLNzUR3ASnoe7fc1+/Du6ZNVTqQJ+e+/N6nT4n18H1fr7X77p+z+/pWmsFZOjn+gKAT47gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIUh08K3V7Gy1NtfXAZ+Urrnfq2Zna2Zmri8CPn6hE37yW+7dd2vjxtq/X+2kCA2+66qqfv9QrVtXl15ad99d+/ZVlcd7plzoI31rNR7XmtXjbc+MWqtPn1Bbt9Ty5TUM1Yf+DiRC4t3dWnVd3XNP++vT/Wim+r6uvqpOOaXqvckP0ypxwo/HdfBgrVk9fm7HqOtqyYnt0c3t7HP68bhGo7m+OPg4xU342dkajeqXv2h/2znqu2pD+/rVdfY5/TConemXFfxkib57d911V5s91Fqrz57crV9frXldR4TE4O+9pz23vR+NutbalVe2M87sjHdCBK3hJ7W//HJdemlt21Z9X0uXtq1bu5NOqta8nCdC0G3eWg1DbdxY27bVggU1DHX99d2yZWonSMqEn3yKe+WVuvjievGl6qqWLq3t2+v44w//CBKkjLZJ0vfe23btajOjGoZ2001qJ07EhJ9UvXt3rThreOsf/TDUGae3x//YLVlSZbMNSVImfFXddtvwxt6+76u14Ybv1JIlxjtxpn/CD0N1Xf395Tp3dXvrrW4Y2po1ten+7iSv68gz/ff7ZIzfemvbu7frulrwqbr2mlp2co3HaifOlN/yk420zzzdfrOx6/oaj9vqlW3d5XbaEGrKg5/M8Ntvr9dfr2q1cGF37bXdiSccfs6HNNO8hp8cXPXUU3XJJW3v3q619vlVw5/+PBqNHHFDqKmd8K3VaFTDUHfcUW+80fV9dV13402jhQst3ck1tRN+8tC+ZUtdeGEdOFCt1Xnn1RNPzPVlwZya2mHX91XVfvqTYd++6rpqrW65pcqpdWSbzgk/+RT35JP1xS+01nXjca1dWw8+aOlOuqmd8FX1ox+OZ4fJu/jhxu8NMzM1DHN8STC3pjD4yep98+b28KN939d4XOvWdRdc0NtIC9MZ/KFDdeuPh4MHq+vq6GPadd9sC4+q8VjwpJu24A8dqpmZ2nT/8MRf+r7vxuP21a/UxV9yRiVUTVnwkz+GefvtuvOO7p13qqoWL+6+/a02Wb0b7zBVwU8Oln/od8MfHq+ZBd0wtEu+PFx4cT8eez8PVVXT08Fka92bb9av7uj27+/6vo45urvp+1WOuID3TM+En+wneOSRenhzNzmj8orLh1WrOn/0Dv8yJRtvJp/c3nmnLrqotmypmZk66qjaurVOP92xNvC+KZl9k6Q3bTpc++xsrV9fn/vc+z8CamomfFUdOFArzxk/v3NUVUuW1GOP1Vln+ffP8B+moYbJhtlf39l2PN/3fQ1Du+Yb7cwz1Q5HmvcTfhiqtdq/v85dNbyws2+tTju1/fbBbsWK8u+f4QjzfgJOttD9/Gdt566+66rv2xVXtBUranbWeIcjze/v8JOTZ199tTZsqGFoVXXaqXXd9f1kX53XdXCEeTwEJ2uRvq8NG9qOHV3fd9V1V32tLV9eds7DB5rHa/jJEv2lF9vatfX8C13f17LPDM9u7487zsM8fLB5XEbf1zDUffd1O3dNtta1G77bL17sSR4+1Hyd8JP9c6+9VitX1p49NTNTp5w8PPNsf+yiub4y+D82jyd8a7VoUd18c51/fs3O1s0/6I9d5IxK+CjzdcL/uz176oEH6rLLavHiKntp4cPN7+Bbq9nZWrBgrq8D5on5HfzEMBz+Dme2w0ebhuCB/9I8fmkH/K8ED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+CXrTHk1snSoSAAAAAElFTkSuQmCC", "image_next": "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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": "ce9f942834d12fd95444c8a12690ec3c1ff3a58f51bed36e0c027d6e888d87fd"} +{"episode": 33352, "episode_seed": 999577884, "split": "train", "timestamp": "2025-09-15T23:18:52.391424", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 999577884, "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', [-1.9000430028506807, -1.2821518823761562, 26.131213198381243])", "action": "('move', [-1.9000430028506807, -1.2821518823761562, 26.131213198381243])", "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', [-1.9000430028506807, -1.2821518823761562, 26.131213198381243])", "action": "('move', [-1.9000430028506807, -1.2821518823761562, 26.131213198381243])", "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', [-1.9000430028506807, -1.2821518823761562, 26.131213198381243])", "action": "('move', [-1.9000430028506807, -1.2821518823761562, 26.131213198381243])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGLUlEQVR4nO3Z0W4TZxqA4W+cBKiadcKye9JbYC+iR73K3kMPe0WtVIndEtOUlBB7DxyllEKggED0fR79sv5Y9ngszTv5Z7zsdrsBGlafegeAj0fwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMHzAex2s9t96p3gLRx+6h3g72BZZmZ2u9luX37y9jkf2bJzZua9/fjjHB/Pev3BNvg2R6UTxzsQPO/rt9/m4cN59mwOD+foaLf+cnv/ZHt6f3XyYHV6upyezn6cnMzN/PR07t6dZZllmdUyy3tcWW63v19QXG/QderrWdLzvjab+eGHubjY/7XMHMwcvPSa/X/jfZD78cXd7f311cnJnD44uP9g9eczwn4cH8/R4e7wYA6P5vBoOTzcn1bm8HAODmZG3n+N4Hl3u90syzx6dFP7G165HzOz3c4vv66enK92P77xQ7aruTr5cv5xujr552q9XtbrOT2d9XrW6zk5mZOT6/kX97ZHd5Z//Xv5z0NngdeypOfd7TP+6af59tvZbOb8/LZxcTEz+4PttovvZZmDg1mtXrgRuJurq9ltb3nTfsu7meXrr5fvv5979z7MF/z7ETwf2NXVPH06FxfXjzeTp0+vx/n5nJ3NZjObzTx58of5frI5e76b1Rt/M95frv++cFjm6vl88818993cvftxvuvnx5Ke97XbzeXlzMxqNavVHBzM8fEcH7/Vey8vXx7Pn8/ls4PLyzn/dc7O5vHj68ebydnZ/O/nOft5+/i/z882B788/cP9gvX6+tqeVxI872tZ5s6d6/nNDfObheOfJy/eujs6mqOjV2zydZ+13c52O9vd7Lar7dXRdrc8ezabzfWJ4NGj+eorwd/Gkp5P5pWH3otP3tzb50MRPJ+9lw5hJ4hbWNLz2VP42/N7JYQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyH/Byn9BOAXPke2AAAAAElFTkSuQmCC", "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": "fffcc38edcf0b032a11da10bcf9e5a1a4e1d875d77b9261a6590bbc1641c177e"} +{"episode": 33353, "episode_seed": 4177033093, "split": "train", "timestamp": "2025-09-15T23:18:52.999583", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4177033093, "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', [242.87099313424838, 168.2124929008231, -51.040800929176065])", "action": "('move', [242.87099313424838, 168.2124929008231, -51.040800929176065])", "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', [242.87099313424838, 168.2124929008231, -51.040800929176065])", "action": "('move', [242.87099313424838, 168.2124929008231, -51.040800929176065])", "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', [242.87099313424838, 168.2124929008231, -51.040800929176065])", "action": "('move', [242.87099313424838, 168.2124929008231, -51.040800929176065])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJLElEQVR4nO3bTYjcdwHH4e/sbGqIwbqLhqJF3UNMUm1JujXFoOhRUCj04EVFUDwUj0U86sGbPYgHTyJKD3ovPfZQ0DSmaBoC2pS2oaZha1MrppVqujvjYcbuJia+ZXcm4fs8zCXz3539BeYzv5eZGYzH4wAdFuY9AGB2BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA/bamMjGxvzHsR1CR62z8ZGhsMMh1lfn/dQrk3wsH2Gw/zkJzl9OouLN2fzgoftMFnG//Sn+frX8+CDeeyxLC5mPM54PO+RXUHwsH1uuy179uTFF/PlL+eRRzIYZDDIaDTvYW0ajG+yVyC4VY3HGQxy/Hi+9rWcPZskX/lKfvCDLC/Pe2SbBA/b7cKFPPRQHnssSVZX8+Mf5/DhOQ/pnwQP22o0ysJC1tfz3e/m+9/P5cvZty9PPJGPf3x6aa7s4WFbLSxkNMpwmO99L48+mn37cuBA3vOe6U5+3sd4ZnjYAePxNPtTp/Le92ZlZbrD3/oDW/85K2Z42AGDQYbDbGzkyJGsrGRjI4NBzpzJZz+bJ56Y/sA8Tu8FDztmOMxolNFoOpl/+9t58sk8+GB+9KOsr0+3+rMleNhJCwtZWJgG/41v5ODBXLqUb34zDz2U116b/Qfy7OFhJiab9rNn8/DDefzxJPnMZ/LDH+aee2Y5CjM8zMRgkI2NHDiQn/88Dz+cJE8+mQceyC9+kWRmR/dmeJihydfpkvzsZ/nWt3LxYg4ezNNPZ+/e2Zzbm+Fhht45xvvqV/P44/nEJ/LII3n3u2d2Ym+Gh/mZ+WfvzPAwJ5M1/GRuf/nlrK1N79xJgoc52bpjP38+Fy4kOx68JT3cBC5fzmCQXbt2+u8IHopY0kMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORxXkPAG7UaJTxOKNRBoMMhxkM5j2gm9hgPB7PewzwPxuPp5EnWTRt/dcEz63hqufp1mn8T3/KqVM5fTq/+U0+//l86UszHtqtxGsjN6nJHJ5kYSHJ1Qv1V17JU0/l5MmcPJkLF3LxYl5/PUnefDNf/GJ27Zr5cG8RZnhuFpPCJ7ertuJvv5233sorr+TEifzqVzl+POfP5623cvny1Q9y++05dy5LSxmPbeavwQzPnI1G09twmOFw8/5Ll/Lqq1lby6lTOXEix4/npZc2rw4GVy/yl5by/vdn376sr89o5LciMzxzMDlvm5yrbz1ye/XVvPhiXnghv/tdnnkmp05lbW3z6q5dGY+v6PmDH8zKSlZWcvfdOXw4R47kfe+b3f/iViR4ZmTyRJustLcuti9cyDPP5MyZPPtsnn8+zz2Xixc3r952W8bjvP325j0rK7nnntx9dw4cyEc/mv37s7S0eXV93Ttz/47g2X7Xa/sdL7yQkydz4kTOnMnaWtbW8pe/bF6dnNJN3nKbOHQoR4/m/vvzsY/lAx/IHXdk797Nq5OXg4WFDAbT3+V6BM/22HrkdtUb4xsb+dvfcu5cfvnLPPVUTpzIa6/lr3/N3/9+7YdaXMzu3dm/P5/+dI4dy333ZXk5e/decfa+sZHRSOT/M8GzDSZPoq2T+Z//nNdfz/nz+fWvp5H/8Y/X/fXBIMvLWVrKRz6SY8fyyU/m6NEsL1/jr0y2/ddbOPAfCZ5t8/LL+cMfcu5cTp/Ob3+bp5/OpUvTS5PDucm0/M49H/pQPvzhrKzk8OGsrmZ1NXv2XONh//XVhP+b4Lkhk436uXP5zndy9mx+//u88cb00mCQXbsyGl1xrn7XXdPbwYM5dCgHD2b37s2r6+vT2dsqfYcInhsyCf7ZZ3Po0PSexcXpW24Tg0GOHMnRo1ldzf79ufPO3Hln3vWuzUe4fHla+GRDzo4SPDdkEvybb+ZTn8rp09Ni9+zJ6mqOHcuxY7nrriwt5fbbr/hQzfp6xmORz4FP2nFDJrnu3p0vfCHLy/nc53L//bn33uzde3XJky+xTlbsvt82L2Z4dtDWJ5eZ/GbglZbtsXUCf6dtkd9szPBQxLsfUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUOQfm9gLA7395LwAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG9klEQVR4nO3bz6tc5R3H8e85M3fSSOAKqf+A0NKIYHeVLko2yapFV65ChZZqsFG6kOumwUXoSkELimCl2Lgopc2PWmipqSu1kC6CEpqkXbgo3RmD0IKYO3OeLmZ6i2BxkXvPRD6v1+rs5tm85/me55zTtdYKyNCvewHAeAQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPu6a1da/g8wgedkdr1XWri9uW4GEXLGu/cWN1sVise0H/h+DhVg1DdV198EEdPlxbW/Xvf9VkUvP5upf1WabrXgB8sbVWrdX163X8eF2+XJcv19//1p59tr7y1W57uzY21r2+T7PDwy1ZLGoyqUuX6uzZqqrZrF7/XffAA+1PF4Zl7bfVLb3g4ZZMJrVY1P331y9O152bw82bNZvV1Wv9Qw+1F15oVdV1NQzrXuV/de22+v+BL7JLl+q7x+Z/vTqdTms+r66r739veO75/sCBWiyq71fH+GskeNgFO8/kPvywHf9B+825vutWe/s3v7F45ef9oXu626F5Iz3sgp0n8AcPdr8+25861fZ/qQ1DzWb154uTo0famTM1mVRrax7v7fCwm5Y99329/tvh8RPtH/+cbGzU9nbt21dPPVVPP119/79xYHyCh1223MYnk7p2tT3yyPDW25Od/f/BB4eXX+7vumt1dD9+9kZ62GVdtzq6/9qh7vd/mDz22OpZ/cZGnT/fH/7WcPHiKvXxx3vBw55YNn/gQL34Yr30Ut252ZaD/ZVr/dEj9crPWqvq+7FfwjXSwx7aGd3fvNCe+FG7cqWfzermzapqj/9wOPWTyebm6tWdcQge9tx8XtNpvf9+bW3VmTOtn3RVNSyGo0fq+Z/2hw7VMFQ/yrRtpIc9N53WYl53312nT9fJH7dhsRgWNZv1b1zovvPtOn9+WB7dj8AODyPZGd1/9cvhxIm6fqPft68++aTuuKNOnqytrdVJ3p4e3QsexrM8ru/7eu/d9uij3cW/1MZGtVbzeb32Wh07Vnv9gZ2RHsbTddX3NQx139e7P75RDz88bG+v3rf9+OMxFiB4GNvyjn1zs159tX/mmdq/v1qr2WyUnx7jR4BP67pqrRaLevLJOneuvnywffTRGDfX7uFhbZbNT6f1zju1uVn33rvnz+cED2vmxRvIMtr3c+7hYf1G+2xO8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkP/KEQrxWYxIYAAAAAElFTkSuQmCC", "image_next": "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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": "48b14bca5250e3614a2b0422e2fadf61f02f411366356e5940f906c191b75471"} +{"episode": 33354, "episode_seed": 1394629732, "split": "train", "timestamp": "2025-09-15T23:18:53.936869", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1394629732, "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', [-1.2448187717747259, -1.339665575243, -0.8856871339353253])", "action": "('move', [-1.2448187717747259, -1.339665575243, -0.8856871339353253])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJzElEQVR4nO3a32+Wd8HH8U9/EchYshVhRBvAlS0bYDRdJcbFEz2cixoP/Qs8N/HAE/8BTzwyHnqsif+AyRITEzJgZjhqp+CKG+gKCyJzpbT3/RzcXaEdz5486lrG5/UKaZor19VewP2+vz+ue2w4HAboML7bNwDsHMFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkgyHWV/PYLDb9/EJGxsOh7t9D7A7hsN7fyYnd/tudoQRnhabbW8aG8v4eCYmMjmZlZW88kouXNi9+9sRHW9r9NlsezjM+HjGxjI2tv2cS5dy5kzOn8+5c3nnnVy/nu9+Nz/7WSYmdv5+d4jgeXQMhxkMNlKfmtpS+N27ef/93L6dixdz5kzOns25c7lxI2trWVu7d9orr+SDD7J//87f+w4RPJ9uo8JHm21TU1sG5+XlLC/n2rW88UbOn89rr+X117dcOzGR9fUtR/72t7z/fvbvz3D4gBnBI0DwfPpsDuPJxmbbqPOVlVy6lMuXc/ly/vjHLCxkYSHvvnvvwsnJTExkdXXj2lHtR45kdjbHjuX48Zw4sTG8P5K1xy49D79tr9BtKb7zTi5cyIULWVzM0lLeeitLS7l7994JU1NJthx57LGcOpWTJ3PyZGZnc/Rojh7Nk09+cn+Dh4jgebjcv5E+/qCHSHfu5Pe/z/nzOXs2Fy9meTk3buTmzS3njI9vf6I+O5sXXsgLL+RLX8rMTA4cyIEDWx7Fra1lMNjYtH9Uh/cInofB5mbb2Nj2HfLV1ays5N13c/ZsXn01r76ahYX861+5c2f78nvT1FT27Mnjj+fEiZw+ndOnMzeX6ens3bsx2m9aX9/4paPncw0Ez8NldTU3buT69Vy5ktdey7lzOXs2b7+95ZyPDuAHDmR6OocO5QtfyPx85udz6tSDn66NLhyN4Y/wSP6/ETy779atLC7mypX8+c+5eDF/+ENef33L07KpqQyHW47s27ex9j56NCdP5tSpnDqVQ4e2/NiPX/x3skvPbhrNqM+dy/e+l2vX7h0fH8+ePVlf35i3j7bcPve5PP98TpzIs89mdjaf/3yefnrLLH30jjCanz/wkzYInt331FO5dm1jBj4qfDDI6momJzM/n7m5zM3luefy1FM5dCjT01uuXV29V3jJ5+H/E/6F2H2f/WyOHctf/5o9e3L4cObn8+Uv5/TpHD+exx/PY49tWY2P5vabO2179uzefX8KWcOz++7cyS9/mcnJvPhiZmYecMJoG39zlm6u/m8TPA+pzRemvP+LTOl5KGw+LdvMW+efBCM8FOn4eBGQRPBQRfBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZHK3b4A+w2GGwwwGGRvLxMRu302XseFwuNv3QIdR5+MmlbtJ8Pw3jF5Fo69jYxkb+7iT//SnXL6cM2fyxS/mW9/KYOBdYMeY0vP/Nxqr7w979M39nQ+HWV3N+HimpjaO/OIX+elPs7ycf/wjq6v54IO89FJeeimTkxs/jU+e4Pm/jPLeXHiPj2dycnufKyv55z9z+3Zu3cpbb2VxcWMM/+pX85OfZO/eJLl0KefOJcnERKanc/hwDh3K7dt54gnB7xjB8xH35zeapW+bct+5k7//Pfv25eDBjSM//nF++9v85S+5dm37mTdv5vDhJPnGN7K4mLm5HDmS2dkcP54nn9z4Fab0O8Uang/H8HyY+rb8hsO8/XauXMnSUq5cydWruXo1S0v59rfzox9lbS2Tk3nxxfzud0kyMZFjxzIzkyNHMjOT55/Pd76T/fsfPIZbve84wfMRV6/miSeyb1/GxnLlSn7wg7zxRm7cyPJyBoN7p3396/nNb3L3bqam8utf580388wz+cxncuDAxtdtj9wGg6ytbaz8R28rpvE7TvDFBoMMBnnvvbz5ZhYWsriYhYVcvpybN/Pzn+fll5PkvfcyN5elpSSZmMjhwzl5Ms89l2eeyfx8vvKVj1t+r61lOHzAgp/dYw1faX09ExM5ezbf/GZu3cqdO9tPWFzMyy9nMMj0dH74w6ysZG4uzz6bgwczMbEl4PtX+6Pxf3PHftKr66Hjv6TY+nqWl5Pk4MGNefihQ5mdzexsvva15MO9uu9//8GXbxvbfWzu08CUvtKo1evX86tfZe/ePP10ZmZy9OiDt9A2x20z808/wfOh4TB3797bUbN//igSfLHhMGtrSTY2zI3hBQQPRUzboIjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj/AFksRyNGotizAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJzElEQVR4nO3a32+Wd8HH8U9/EchYshVhRBvAlS0bYDRdJcbFEz2cixoP/Qs8N/HAE/8BTzwyHnqsif+AyRITEzJgZjhqp+CKG+gKCyJzpbT3/RzcXaEdz5486lrG5/UKaZor19VewP2+vz+ue2w4HAboML7bNwDsHMFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkgyHWV/PYLDb9/EJGxsOh7t9D7A7hsN7fyYnd/tudoQRnhabbW8aG8v4eCYmMjmZlZW88kouXNi9+9sRHW9r9NlsezjM+HjGxjI2tv2cS5dy5kzOn8+5c3nnnVy/nu9+Nz/7WSYmdv5+d4jgeXQMhxkMNlKfmtpS+N27ef/93L6dixdz5kzOns25c7lxI2trWVu7d9orr+SDD7J//87f+w4RPJ9uo8JHm21TU1sG5+XlLC/n2rW88UbOn89rr+X117dcOzGR9fUtR/72t7z/fvbvz3D4gBnBI0DwfPpsDuPJxmbbqPOVlVy6lMuXc/ly/vjHLCxkYSHvvnvvwsnJTExkdXXj2lHtR45kdjbHjuX48Zw4sTG8P5K1xy49D79tr9BtKb7zTi5cyIULWVzM0lLeeitLS7l7994JU1NJthx57LGcOpWTJ3PyZGZnc/Rojh7Nk09+cn+Dh4jgebjcv5E+/qCHSHfu5Pe/z/nzOXs2Fy9meTk3buTmzS3njI9vf6I+O5sXXsgLL+RLX8rMTA4cyIEDWx7Fra1lMNjYtH9Uh/cInofB5mbb2Nj2HfLV1ays5N13c/ZsXn01r76ahYX861+5c2f78nvT1FT27Mnjj+fEiZw+ndOnMzeX6ens3bsx2m9aX9/4paPncw0Ez8NldTU3buT69Vy5ktdey7lzOXs2b7+95ZyPDuAHDmR6OocO5QtfyPx85udz6tSDn66NLhyN4Y/wSP6/ETy779atLC7mypX8+c+5eDF/+ENef33L07KpqQyHW47s27ex9j56NCdP5tSpnDqVQ4e2/NiPX/x3skvPbhrNqM+dy/e+l2vX7h0fH8+ePVlf35i3j7bcPve5PP98TpzIs89mdjaf/3yefnrLLH30jjCanz/wkzYInt331FO5dm1jBj4qfDDI6momJzM/n7m5zM3luefy1FM5dCjT01uuXV29V3jJ5+H/E/6F2H2f/WyOHctf/5o9e3L4cObn8+Uv5/TpHD+exx/PY49tWY2P5vabO2179uzefX8KWcOz++7cyS9/mcnJvPhiZmYecMJoG39zlm6u/m8TPA+pzRemvP+LTOl5KGw+LdvMW+efBCM8FOn4eBGQRPBQRfBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZHK3b4A+w2GGwwwGGRvLxMRu302XseFwuNv3QIdR5+MmlbtJ8Pw3jF5Fo69jYxkb+7iT//SnXL6cM2fyxS/mW9/KYOBdYMeY0vP/Nxqr7w979M39nQ+HWV3N+HimpjaO/OIX+elPs7ycf/wjq6v54IO89FJeeimTkxs/jU+e4Pm/jPLeXHiPj2dycnufKyv55z9z+3Zu3cpbb2VxcWMM/+pX85OfZO/eJLl0KefOJcnERKanc/hwDh3K7dt54gnB7xjB8xH35zeapW+bct+5k7//Pfv25eDBjSM//nF++9v85S+5dm37mTdv5vDhJPnGN7K4mLm5HDmS2dkcP54nn9z4Fab0O8Uang/H8HyY+rb8hsO8/XauXMnSUq5cydWruXo1S0v59rfzox9lbS2Tk3nxxfzud0kyMZFjxzIzkyNHMjOT55/Pd76T/fsfPIZbve84wfMRV6/miSeyb1/GxnLlSn7wg7zxRm7cyPJyBoN7p3396/nNb3L3bqam8utf580388wz+cxncuDAxtdtj9wGg6ytbaz8R28rpvE7TvDFBoMMBnnvvbz5ZhYWsriYhYVcvpybN/Pzn+fll5PkvfcyN5elpSSZmMjhwzl5Ms89l2eeyfx8vvKVj1t+r61lOHzAgp/dYw1faX09ExM5ezbf/GZu3cqdO9tPWFzMyy9nMMj0dH74w6ysZG4uzz6bgwczMbEl4PtX+6Pxf3PHftKr66Hjv6TY+nqWl5Pk4MGNefihQ5mdzexsvva15MO9uu9//8GXbxvbfWzu08CUvtKo1evX86tfZe/ePP10ZmZy9OiDt9A2x20z808/wfOh4TB3797bUbN//igSfLHhMGtrSTY2zI3hBQQPRUzboIjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj/AFksRyNGotizAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJnElEQVR4nO3dzY+VZ8HH8d+ZGQrTNhVHaNDwZim11AKd0YXRuNFlbdQ/w72JCzf+A25cujLum/gPuDIxmlhRWsSBlnamZCqCSAHbwrycZ3GGeSvP0/g4DNTf5xNyMtw558yZYb5zXdfNyX0NhsNhgA5jD/sFADtH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk4mG/ANgew+H6x4PBw3sdjzbB82k1HK7+STI2dp/IV1ayspIJP+Mb+GbwqTHKe2Ulw2EGg0xMbIp8cTG3b+fWrSws5MyZnD2b3/0u+/bl1Vfz1FOrD0HwPNJGeY9uJyYyNpaxe+edlpZy5UquXMl77+XChbzxRs6dyxtv5F//Wn/43r25c+ehvPBHlOB5tIym6Gtz9fHx9dsk8/N5++289dbq7Ztv5s03889/rj98bCy7d2d5OUtLSXLjRs6fz/79O/olPMoEz0Nz39Nsow/W/rqwkHPn8pe/5Ny5vPtuFhaysJBr1zY9z2iVPip8ZWV1SD9+PC+8kBdeyBe+sOkJyw2GG7/r8MBsHLoHg/WZ+RZ//3vOnMmf/5wzZzI7m+vX8/77uXkzKyuf8PxHjmRmJqdPZ3o6x45l79585jN58slt/io+7YzwPEBry+/hMOPjW8+l37mTDz7IzZs5fz5//GP+9Ke89lr+9rcsLmZx8X99zsEgjz+eyclMTeXkyUxPZ3o6p09naiq7dt3nnLzTdRsZ4dl+w2EWFzMYZNeuTcdv3cq1a7l6NZcv5/XX8/rrOXs2Fy9uus9o5N8ynk9NZd++7NuXL34xp07lxRfz0kurc/X7fva1yKW+heB5gD74IHNzmZvLO+/k0qX89a+5eDGzs5tW77t2ZTDI4uKmg1NTOXw4R4/m8OEcP54vfSnPPZcjRzY9+eiXgrD/LYJnO42G1rm5/OIXuXQply/n8uW8+24+/HD9PmNjmZjI8nKWl9cPPvFETpzI88/nxIk880wOHcrBgzl0aNNSf3k5Kyur6//BQOT/H4JnO42CP3s2p09vOj4YZMsP2mOP5dSpnDyZl17Kiy/mwIFMTWVqKo89tulud++uti3ybeGkHdvv0KE88cT6G2DGx7N7d/bsydGj+cpXMj2dmZk8+2wmJ7N79/r/sY+M3g87answ2No//yHBs51GI/DkZL797czO5vOfz4kTmZ7OyZM5dSqPP37/R21cjW98Lx3bzpSe7TccZn4+Tz2Vz3526/GNzM93nuB5gEbvfltbhPPQCZ4HYm0dziNF8FDENAuKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KuGotO260F9ToIlhbLlLNA+YSV+yUUeeuZflQCZ7tsLYXdPLJF6+8eDGXLuX3v8/p0/nud7Oy4rfAjjGl59+3tj/rWtgf39JxOMzduxkbW99B9pe/zM9+lqtX8/77uXs3H36Yl1/Oyy9nYsKWzjtG8HySUd5rC+/RXpBb+vzoo9y6ldu3c/Nm3nkns7OrY/jXv56f/jR79iTJW2/ltdeSZHw8U1M5cCBPP53bt7N3r+B3jOD5mI35jWbpW6bcd+7kypVMTmb//tUjP/lJfvObvP123ntv6z1v3MiBA0lWd5+amcnhwzl2LM8+u7oxjYX9DrKG594Ynnupb8lvOMzly5mfz9xc5uezsJCFhczN5Xvfy49/nKWlTEzkG9/Ib3+bJOPjOXo0Bw/m8OEcPJgTJ/L97+fJJ+8/hlu97zjB8zELC9m7N5OTGQwyP58f/jDnzuUf/8jVq6vbPo5861v59a+zuJhdu/KrX+XChRw/nn378rnPrd5+fF/YpaX1fWFH+z+zswRfbLQz8/XruXAh589ndjbnz+fSpdy4kZ//PK+8kiTXr2dmJnNzSTI+ngMH8uUv5/nnc/x4vvrVfO1r/9fye2kpw+F9Fvw8PNbwlZaXMz6eP/wh3/lObt7MnTtb7zA7m1deycpKpqbyox/lo48yM5Pnnsv+/Rkf3xTwxtX+xm2fB4NM+Ol65PgnKba8nKtXk2T//tV5+NNP59ixHDuWb34zuXeu7gc/uP/Dt4zt3jb3aWBKX2nU6rVrefXV7NmTZ57JwYM5cuT+p9DWxm0z808/wXPPcJjFxfUzas6f/zcSfLHhMEtLSVZPmBvDCwgeipi2QRHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5H/AQkNNiFhQsPiAAAAAElFTkSuQmCC", "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', [-1.2448187717747259, -1.339665575243, -0.8856871339353253])", "action": "('move', [-1.2448187717747259, -1.339665575243, -0.8856871339353253])", "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', [-1.2448187717747259, -1.339665575243, -0.8856871339353253])", "action": "('move', [-1.2448187717747259, -1.339665575243, -0.8856871339353253])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHDElEQVR4nO3aXU8c5x3G4f/MLnWLFUcyYNleXlyZt7ZKv4lP8rlzEqUWYCCtsYllYye2SIwldnd6AMFhG7tVJcDyfV2aA5CG2We082OefXaarusKyNBe9QCAyyN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CNK/6gGQqOtOt/G4+v1qmqseUIym67qrHgOfv7PCu3F1XfX61ZpcXgXBcyHOLquuq6b5nXv448e1t1cPH9bXX9etW6e7cdFM6fk/fTzps19Pftjfr62t2tmpRxujR9vNi5ftTz/V4WE9e1aDQT14cInjziZ4/idnc/Lqqqvq9SaTPnF8XMfH9fp1bW7WxkZtbtbmZm1v1y+/1Lt39e5dDYeTU/nvvqsHD9zeL4ng+R3vP3J31Y2rmpqammxyOKzDw/r55zo8rCdPTtt+tDneeDh+dvCR6+rsKF3b1vR08/LlhZ0G/0HwVJ1fNu+66vWq15vc4cWLOjiog+fj5y+afz1udnZqd7d2d+vJk9/u2DZNOzVVVXV8PPkqN250c3PNrVs1N1eD26Pl1fbP95u/f3WhZ8Y5Fu1Cnbztp7P0msy7qg4Oam+v9va6x/8cPd3vPd1vnj6t/f16ujcajpvfPsExNVVtW6NxDc8VPv7TH7qFe73FxVpaqoWFmh908/M1mG8WFurLLy/49PgAwVNV9eZNbT+q7Z3a2R5vb41/eN5/9apOtrdvxxMPaPX71XU1Gk0cY7Ryv5ZXe8vLtbpa95a62dluZradmambNydfbjis8fh0qa9tfUV3eQSfaDisb7+tjY3a2qqNfwy3ttvXb9q3b+voqI6OTq6Hj62htW31e9383dFfv+qtrTXr67W+XoO73fXrNX29mZ6eDLjrajisqtPCzzYun+AT/fhjzc/X0dF/3/PatZqerunpuvHFePX+eP1v/fW/1Pp6ra3VjS+q94EloJOFgPp1AV/enw7BJxqNam2tvv++zr/54z9ea2Zmm5s3a3a2bt+ulZVaXq6VlVpZqZmZjx1w4iKS9yfLKn2itq3FxdrdraWl7u7dZjCo+UE3P+iW7jULi7W4WHfuTP7JySf2s3v1hx6z4RPnDh/qm2/q1au6c6fm5mpurvrn//OPRjUavV9UMyf/bAieql+Xzc/aVvjnSvChRqP3z8DLO4fgIYgnHiCI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIvwGcqlFYv1ugRQAAAABJRU5ErkJggg==", "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": "9c37766bbff65b103230a2b08f0cfd80fe06c862ac336f7690a2e4b27610d0dd"} +{"episode": 33355, "episode_seed": 3116504668, "split": "train", "timestamp": "2025-09-15T23:18:54.546625", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3116504668, "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', [-2.2293730861246037, -2.712183008976721, 50.60491319635347])", "action": "('move', [-2.2293730861246037, -2.712183008976721, 50.60491319635347])", "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', [-2.2293730861246037, -2.712183008976721, 50.60491319635347])", "action": "('move', [-2.2293730861246037, -2.712183008976721, 50.60491319635347])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK6ElEQVR4nO3dTWwWdQLH8d/M8zxA14qboIKCJL6gCYWQDcjyIoiIvCSmQEhcPKwHOZhosgmIxvhy4QLlIgc9aDYkLgdFsQVcA5iACIgBrAa4QUqwCVICUkhKLe0zM3uYsbwspd0Fbef5fT+HpszThCHpl//Mf+Y/EyRJIgAewv7eAQB/HIIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvA3liRKkv7eCeB2K/b3DgxQQdDfewD8Dhjhr5ck6ujQ3r1qbGSQR6Uh+Eza9q+/6t13VVOjmTO1apWCgOZRUQj+iiRREOjQIZ04IUl79uj8eZpHRSH4TBCoXNaQIVqwQEGgIFBbm7ZsUZIojvt754DbhOCvCENJevxxPfSQkkTlsjZvZoRHRSH4KwoFRZEee0wTJ2ZbjhxRc7MKBQZ5VAiCv0YcKww1a5YKBUk6dUo7digIFEX9vWfA7UDw1ygUlCSaP18jR0pSV5d271Ycc1keFYLgrxGGimM9+KDGjcu2NDbqxAkViwzyqAQEfwNJotpaFQoKAjU16bvvJHEaj0pA8NcLQwWBFi9WdbUklcvat09RpGKR6XrkHsFfL70Od++9mjYt++POnfrpJ67PoRIQfI+ef15JolJJTU06cqS/9wa4HQi+R3PmqLo6m6vbtk3lcnZnDpBf/ArfQHoR7p57NHeuokhhqPp6XbggiaN65BvB31gcq1jUkiWSVCzq3DkdOCCxTh45R/A3M2mShg1TV5eCQJ980t97A9wygr+xdE7+gQc0d262Zds2XbrUr/sE3DKCv7H0/vmqKs2ena2Tb23V9u2slkW+EXyP0tP1SZN0//2KY8WxPvuMq/HIN4LvUXpf/dixmjIl23LwoM6dUxjSPPKK4HuUHtUPGqTp07PR/vRpffUVq2WRYwR/M+mdNvPmZatlOzq0Y4fE1XjkFsHfTPoMnJoajR2bbfnxR506pVKJQR65RPC9SF9B88wz2WrZY8e0d6/EalnkE8H3Iu18yRJVVytJdPmy9u/PtnNgj9wh+F4EQfYMnAkTsi27d6u5mbl65BLB9y6don/uOUkqFHT0qI4elZi6Qw4RfF/V1mrQoOz7XbsURdmTbYEcIfjepSP8yJGaMUNRpCBQfb1aWyUGeeQNwfdJkigMkr8tlaRSSSdPZkf1QL4QfB/EcZJIQTBjlqqGxOVyNsiL5fHIG4K/qfQVc2EYhNLJplF1y+dE/04kJVF9vTo6+nv3gP8RwfcsHcqLRTU3B3V10cSp1f9ct6BrYxIrVPTzz9q3L7stB8gLgu9Zsaj2dn34oWpr9cYbOn9WD42e9Pe//nmEIhWk5OOPs6v0QF4Q/LXS8Tr9Wl+v2lq99JIOH9bgweErrySbN9f86x8zJ0sqSME33+jSJR5lizzht/U3aeRXz8IdPqydOyXp2We1a1fw3nvl8X/5UxJNnZp9fvq0du1itSzyhOClJMkur0s6f16XL2ffv/yy5s1TQ4M2bUpfQxN2RlLhqac0YoQktbdr61aJhTTID/vg05m5QkEtLVq3TpMn66OPsu3Dh2v7di1apMGDFcdKkrBUiBNNnnxltWxjoy5cUKnE1B3ywTj4JFFXl4pFXb6sDRu0cKGWL1dTk7ZsuebdkenXMFQQpEfvQaCZM7P7ao8f19dfZ4cIwMDnGnz6JNpSSVu3askSvfCCDh5UGGrZMr35ZnaMnh7YX3tvTdr54sUaOlSS2tq0d6+CgDtwkA/F/t6BP1b3kXcQ6PBhrV6tL79UW5skzZ+v117TrFk3n3ZPn2w5bpweeUSHDknS/v1qadGIEYpjZuwx0Nn8hnbPzHWPxcePa+NGtbWppkaffqrPP9fs2QrDvhydh6EWLsy+aWzM7qtn6g4DX5A4TDeVyyoWJemXX1QqaejQrP+lSzVhglauVFWVJMVxX47O07OBY8c0bpwKBXV0aMUKrV2bnub//v8W4BZU+iF9HCuKVCqps1NffKF16zRtmurqspdFbtqU/Vj3zFwfpFU/+qjGj9cPP0jSmTNqb9edd2b/FwADVkWP8N0PqdixQx98oIYGSRo1SgcOZG+TkZQk//eDLDZs0L59evJJTZ+u0aNJHTlQ0cFLOnZMq1eroUEXL0rS00/r1Vf1xBOqrpZudXVr94kCkBeVFXy6eC09Mr94UWvXav16tbRI0pgxevttLVqUXU+7fX9huaxCgfl55EMFBd894KbXx77/XlOmKIp0331atkwrV+quu7JPb9N18/+++x4Y4Coi+PTdrsWiOjvV2qrhw7PmV6zQmTNatUoPP5z9JLNq8Jb/4Ltn5vbs0fvvq6pK69dLvz1QPv2Ie2IASbkPPh2xT57UmjWqr9fZs5K0fbvmzcvOraNIYUjtQCq3s8xp6p2dWrNG69eruVmSRo/WO+9o4sQrYzvT6MBVct5Duaxvv1Vzs+6+Wy++qNdf17Bh/b1PwMCV2+DTU/Q77tBbb6m6WnV1GjMm+4iZOaAHOT+HvxqdA73J/2xWeu8LtQN9UEEjPIDe5H+EB9BnBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8AG5acgQ/filEAAAAASUVORK5CYII=", "image_next": "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", "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', [-2.2293730861246037, -2.712183008976721, 50.60491319635347])", "action": "('move', [-2.2293730861246037, -2.712183008976721, 50.60491319635347])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIMElEQVR4nO3cX6jfdR3H8ff3+ztHs1M4GIp/r0Z0Y4GhINWFmSLTasqypD+0FpmDuljBnLr5D7VoraQuZC6liLxYVBqsVYKysOxKr8xgixrNcDAZXojo7/f7fro4p9OMSudF43dej8fl73cuvjdP3p/v+/f9nq61VkCG/mRfAPD/I3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIvgT01qNxzUMJ/s64C3pWmsn+xpmxjBU11XXnezrgLfKhH9TWqvWqu9rGOq+++rgwaoy55k9gn8Di1UvDvaf/6x94JLp5s21a9fSh45HzBZH+v9qGKq1Go2qtXrmmbpt2/RXvxlNpzU3V5NJPfVUXXJJteaEzywx4f+Dxc1c39doVM/9sb76tXbRRW3vvtHit5NJO//8duhQVamdGWPC/7vlzdzhw+1HP2zf/V73wpEajbq+r/G4LZzWPv2Z7itfrgveq3Vmj+D/ZXkz11rdf389+GA9/fRQ1c/P1XhSVcMnrutv/NLwoQ/3VTWZ1Nzcyb5iOEGCr6oahur/eXOzb1/de289+WRV1dx8TcZV1d53Yd1xR11+eXfa22s6raoajU7WxcJblx788mauqp59tm7b3vb+sl59tRuNlsI+/7x289b22Q39OxaqqiaTGo3cujOrcoNvrSaTmp+vqvrzwbZ7d7fzW8Nk6Bdjbq3OPruuv77demu3evXSJ2VLx4wLDX7x1/W+ryMvtIcfrp07h+f/3vd9NxrVeNxOe1v38etq8+a68MKq8tsbK0di8Mt37D94qD2wu576Q1V1p5xSr71WVe2aa9oNN3Rr13blAM+KExT88YP68cfr7ruH3+7vpkM3P1/jcVXVey4Ytm3vr766FhZs5liZIoJfPsBX1YEDtW1b7d1bL79c/aiGaVXVGaunW2/uN36hVq0y2FnJVnjwx2/mDv+t7Xqg27mzvfJKt7yZO+OMYf21dfud/VlnVXkfjpVuJQe/fCx/8Wjt2VM7dgx/+WtfVYtn+FNPrY9+pG25qS6+eKlvyzlWvJUZfGs1DEt34A//uH1/d3tif3fcZq6uvLI2bap166o8M0eSlRb88VN6//72zW8Mv35sNJ22+VO68WtV1d79ruGW7aN1H6vTT7eZI87KCf74zdyhQ3X79ukjv+hfeqn6vlv86vR3Dltv6TdubGee2VXVeFxzc87wZFkJwbdWi6+pV9WRI/XQQ7VjRx07VlVL/6Nm1aq2/tq6467uvPOqbOYINvPBLx/Ljx2rRx9p9369O3Cguq7m5mo8rvm5Ye3a7qYt9f4PduXxWOLNcPDHD/af/mTYtbt77LFW1S8/SHPppe3GL7ZPfsrbrLBkhoNf9Pvfte98ux59tI2n/fx8TSbVWq1ZU1u21Pr1tXr16+7tIdxMBr+4in/++brnntqzp734YnV9V61aq4WFtvWm+vzG7txzq2zm4PVmMvjFt1+uuqr27ata2sy1hYXumnXTO+8arVmz9DdlsMPrzWTwixP+iSfqiitqOq3RqC67dLr1lv6yyzwzB//LTAa/7HMb6k/PtU2basOGrvzeBm9khoNvrY4erfG4zjmnptPqOgd4eAMzHPwymzl4k2Y7eJs5OCGzHTxwQgxHCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIPkZMDREYW+4cAAAAASUVORK5CYII=", "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": "2e383711d27983ad943b2b260be944d4aeca52a68e1deca72b5387cd5ee49d60"} +{"episode": 33356, "episode_seed": 3204186201, "split": "train", "timestamp": "2025-09-15T23:18:55.154303", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3204186201, "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', [0.10072855487926073, 3.253535212447781, 10.66937062618418])", "action": "('move', [0.10072855487926073, 3.253535212447781, 10.66937062618418])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKv0lEQVR4nO3db2hV9QPH8c+559xttSzLotJCZwgGUmiW9CCiP5ZFRmlRlLhhuAwslESknpT0wBAt0kzrwUwba5ZFiTqychiBRvREMJ8UZCDKsGix2nbvPef34Jya+vP3a9rcvXef9+uZd04ObO/z/XP+GCRJIgAecuU+AADDh+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0aich8AKkySqFRSHEtSFCn315BQLCqXG/gjqlOQJEm5jwHVIz0RBIGCoNyHgnPBCRsniWMdPKhVqzRrlu69V198kX1YKqm1Vfv3Z4P837UniRgwqgojPE71++/q6tKRI/r2W82apSlTJOnoUV17rS66SBMn6u679dBDuuUW5fOnf2+SMPJXOILH/5U23NmpJ57Q8ePZlF7SxIl64AHNnq3p03XJJZKy1ItFSQpDyq9MBI//kv5KnFbsiRPq6NCePTp4UN9/rz//zD5vaVFTk+JYSaIwHPj7/f0Kw1Pm/6gABI9BOHmu/ssv2rdP33yjr7/W8eNqa9PUqZL00096+WVdf71mzNCMGaqtzb4xjsm+chA8Bie9XJckA0v3ri51dWniRNXWKgjU2qp58yTp8ss1ZYpuukkzZ+rOO09f6p9x+oDhQvA4S3GcTeBPK/nAAb32mj7/XCdOZJ/U1+uaazRjhlau1Pjxp0wTGPnLhOBxrtLsT462VFJ3t776Sh9/rC+/1LFj6u+XpB9/VEODJPX0qLtbo0frggsG/hFu5hlGBI/zo1DQ3r3avl1hqDVrVFenINA77+iFF3T77Zo1S1OnqqFBl11W7gP1QvAYaundOCeP2+kEPgz1/PNauzb7sL5et92mOXM0f75qaiQW9sOB4HHepLfo5XLZ5bok0aFD2rdPBw5o714dOSJJjz6qrVuzLX2cfwSPYdfXp59/1g8/qK1NjY264w5W8sOG4DGM0h3+6K9nNHkCb9gRPIbd34/ckPqwI3jACKdYwAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4SFKSlPsIMCwIHiqVJJr3QPDuSiWFoSQFQbkPBecfwVuLY4Whtm1TU5P++ENJwjg/wkXlPgCURxp2LqcNG7R8uXp6VFenTZuyLzHaj1SM8KbiWJIOH9bq1Vntb7+tl14a+BJGpCBhDueqVFIQqL1dCxaor0+SkkRvvaVFi1QoKIoY50cggreWzt7XrdNzz6mmRoWCLrxQbW2aPXtgMw8jCcG7i2PlclqxQq++qjBUqaSxY7Vjh6ZNYzE/AhE8FMeKYz31lLZsUT6vQkGTJ6ujQ+PHZ6cDjBj8MKEgUBRp3Trdf78KBdXV6fBhNTWpu1u5HHt4IwrBQ0GgUkkXX6z16zVtmnp7VVurzk4tXKhCQWLffgQheEhSGKpYVEODNm7U2LHq61MUads2LVumJFEcc0POCEHwyESR4lg336yWFtXXZzfhvfGG1qzJvkTzIwCbdjhFejVuyxY1NioIlMspn9fmzXrsMTbtRwJGeJwindvPn69Vq7IhvbdXzc3aty9b6qOqMcLjdOlvRBBo6VK9/rpqa9XXpwkTtHu3Jk/mhpzqRvA4gzhWEKinRwsW6IMPsuanT9euXbriCi7OVzGCx5mVSsrldPSoHnlE+/crilQs6p57tG2bRo1SELCer0qcqHFmYag41rhx2rJFDQ0qFhVF+uwzLV2aPTbPSFGNCB7/U9r8pElqa9Po0SoWlc+rpUUrVzKlr1ZM6fEP0l26Tz/VnDnZ2j6OtWmTmpuzYR9VhBM1/kEYKkn04IN6801FkcJQQaAlS7RzZ7awRxUheAxKHOvpp7V8eTax7+3VwoX67jtFERfnqwlTegxK+ghtoaDmZr33Xja2T5qk3bt13XVcnK8aBI/BShfwv/2mhx9WZ2f25Pytt2rHDo0Zw4231YHgcRbSqo8d01136dAh1dSov19z56qtTfl8uQ8Og8AaHmch3aK/6iq1t+vKK9XfryjS9u1atiyb8zN8VDiCx9lJ34EzZYra2zVmzMBTtGvXKpdTqUTzFY0pPc5Fejt9a6uam9Xfnz1Iu3mzHn+cDbyKxgiPcxEEKhT05JN68UUVi4pjFYt65hl1dmavvkVlYoTHOUpffSVp8WJt3JhdqLv6anV06IYbGOcrFMHj3KWb9nGsOXP0ySfZpv2NN2rXLo0dy4W6SkTw+FfSqn/9VffdpwMHsnF+5kx9+KFGjZL4X6grDGt4/CtBoCTRpZfq/fc1eXJ24+2ePVqyJFvbM6BUFILHv5XO6idM0Lvvatw4FYuqq1NLi155JVvG03zlYEqPIZAk2dj+0UdqbFRPj/J5xbE2bNDChSzmKwjBY8ikj8evX69nn1UupyRRFKm1VXPnSuKdGRWBHwKGTPoyjMWLtWKF4jh7umb3bhUK2VIfZccIj6GUvusuCNTYqK1btWiRVq9Wfb3Edn1lIHgMvSTRiRPauVPz5mUvxmM+XyEIHkPv5F06duwqCideDL10xZ4+OUftFYURHjDCCA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJH/ADak/51FofM1AAAAAElFTkSuQmCC", "image_next": "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", "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', [0.10072855487926073, 3.253535212447781, 10.66937062618418])", "action": "('move', [0.10072855487926073, 3.253535212447781, 10.66937062618418])", "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', [0.10072855487926073, 3.253535212447781, 10.66937062618418])", "action": "('move', [0.10072855487926073, 3.253535212447781, 10.66937062618418])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZ0lEQVR4nO3cX6jfdeHH8df3fM/Zplt/DKEu7I8rkXQFVrSLitSWLkgJK4ZR06SLIkSxC0OkzC6qi5IlRSVhFrpdNKsbG2gtJ0FGNzJqJRpkEcqYNM3mds75fn8X5+vO0V/0S3/unM3X43G3L+c73rA9v+8/3/fnDMbjcYAOUys9AGD5CB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KTK/0ADjOjMeZn89olCTT05l6ZkqYm8vU1OIfOTENxuPxSo+BE8fCB8FgkMFgpYfCC+EDmyVGo+zdm69+NZs358IL84tfTF6cn8/tt+c3v5lM8kdrH49jwjihmOF5tiefzP79eeSR/O532bw5GzYkyd//nte+NuvWZf36bNqUD30o73xnZmae+97x2Mx/nBM8/9FCw7/6VT72sTz22GRJn2T9+nzwg7noorzjHXnFK5JMUp+bS5LhUPnHJ8Hzvyz8l3hOsQcOZNeu3H139u7Nvn05dGjy+q235vLLMxplPM5wuPjzR45kOHzW+p/jgOD5Lyxdqz/+ePbsyW9/m1//Oo89lu3bc845SfKXv+RLX8qb35yNG7NxY1avnrxxNJL98UPw/HcWvq4bjxe37vv3Z//+rF+f1aszGOT22/PxjyfJqadmw4a8/e15//tz/vnP3er/2+UDy0XwPE+j0WQB/5yS778/N92Ue+7JgQOTV9auzWmnZePG3HhjXv/6Zy0TzPwrRPC8UAvZL412fj5PPJH77stPfpJf/jKPPpojR5Lkz3/O6acnyVNP5Ykn8spX5qSTFv8Sl3mWkeA5NmZns3t3du7McJivfz1r1mQwyC235Lrr8t73ZvPmnHNOTj89r3rVSg+0i+B5sS3cxlk6by8s4IfDfO5z+cY3Ji+uXZv3vCeXXJKtW7NqVWJjvxwEzzGzcEVvamrydd14nD/8IXv25P77s3t3HnkkST760fzoR5MjfY49wbPsDh/OX/+ahx/O9u257LKcd56d/LIRPMto4YR/+plnND2Bt+wEz7I7+siN1Jed4KGIj1goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIvhq43FGo4zHKz0Olovgqw0GmZrKeJz5+ZUeCstC8KXG44zHefLJPPRQpqYyHGZ2NqPRSg+LY0zwpebnMxhk585ccEGuuy6//31mZjI1Zap/iRuMbeD6LPybHziQD384e/YkyZvelC1bcuWVefWrJz8wGKzkCDlGBN9oNMrUVHbuzEc+ksEgw2Hm5pLkjDOydWuuuSYnn5w887mg/JcSwZcaj/P00/npT3PjjfnjH5NkOJys59/4xnz+87n00qxdmyRzcxkOZf8SIfh2R47k29/Od76TP/0pSaanJ7P9W9+a66/Ppk055ZQkmZvL9PRKjpMXheCrHd2rP/54vvWtbN+effuSZNWqHDmSJJs25dOfzsUXZ2Zmcs435Zz3RCZ4FmfvBx/MHXfku9/No49mMMj0dGZnk+Sii/KpT+Xii5Nn9v+coARPkozHmZ3NqlVJsm9ffvCDbNuWw4czGGQwyGiUdety3nm59tq8612Ttyj/RCR4Fi1dtD/4YL7ylezYkaefzmAwObF/2cvygQ/ki1/MWWclz9zMHQ5Xcsw8L4LnuZZO3Q88kBtuyO7dOXhwMfvp6XzmM/nsZ3PmmUkyO5vh0Gx/YhA8/97Suzd3352bb86uXZmdnZzeLSzyr746W7Zkw4YkmZ3N9LRv7453guc/WXiuZuFI784788Mf5mc/S5JVqzI7m/E4b3hDLr88n/xkXve6xMb+uCd4/m8LF3KGwzz1VHbtyrZtue++JJmZmRzjn3VWLr00V1+ddesSV/SOY4LnvzIeZ24uMzNJcvBg7rorX/7y5Ev7o3d1zjwzV12VK67I6tVJMhpNDvk5fgie52HhodqFRfuhQ7nlltx8cx56KFlyM/ctb8n112fz5rz85YmbuccZwfO8LT3PO3gwN92UHTsmN3OPLvLPPz9XXpkLL8xJJy3uCFhxgueFO3pE9/DDufXW3HZb/va3DAZZtSqHDyfJJZfksssmV/Tm5zM1ZapfYYLn/2Xp3v6BB7JjR7Zty6FDk2X83FzWrMnmzbnqqpx77uJbZL9SBM+LYDTKaDT59m7fvnzzm/ne9ya/MGvhus4pp+R978sNN+Tssxff4gu85Sd4XjTz84sb9b1784Uv5J578s9/Ll7RW7MmW7fm2muzfv0KDrOa4HkxLT3GT3Lvvfna13LvvfnXvxaP8U8+Oddck098ImecYW2/3ATPMbG0/DvvzPe/n7vuSpZc0XvNa3LbbbngAr9aY1nZRXFMLDx1Nxplfj6XXJKdO7NjR849N0eOZDzOzEzG45x66uQnWTaC5xiamsrU1OSsfsuW/PjHueOOnH12ZmdzxRV529uete1nGVjSsxyWPoTzj3/k5z/Pu9+d005LzPDLS/AsHw/VrDhLepbP0WdpzDIrRfCsAJP8ShE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPkfL2e6Ic5UBUcAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHH0lEQVR4nO3b34+cVR3H8e+ZmW4xIanUtKEhXugFmqwJhhobi1GLKGKVSOwdkf+Bf4T/AzC2IaTUEsCuYKpLdCOgxas1Mc0mW1txWW12dp7Hixl2C8EfGLqz5PN63e0zZ5+ci3k/5zwnmdb3fQEZBvOeALB3BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BRvOeAPtF39dkUl33n8a0VsNhDSwTn1it7/t5z4FPmOlDobVqbd5T4SOywlNV1XX11h/q/PPd0qW6uTVYWKjhsFqbLeatqutrNOjuu69OPzr4yvH3/e/OkqH//c8Kz8zfN+rael29Wq+8Uj/7abfy+/qwI57+8OF2z7Hu4e/Vj88Mjh+vAwd2P+sm1VcNBsrfvwTPh1tfr/Pn6+zZWlmpa9dqc7Ovel/Hg0F99p7uBz9sj/6ofWmxjhzZjX88nr3tK3+/ETy7pt+FD1R6/XpdeKEuXpi88cfhn670727WtPzRqLa3Z2OOHatHHqlvP9gvLtYXvtjuuGN2fWtrdsin/H1C8PxbfV9dV8Ph7M/rN+rVS93ly+03r7fLv+o2/9mq2mBQo1FtbU2HdEePtG98s534anfiRPvayTYa7d5n50SAORI8/8U0167b3bHfuFFvvtH/9nf18svt4sW6ebOqajCo4bDG4+mQ7ujRweJif/+Xu+88PHjoobbz1Ni5ZznkmwfB87+aZt/3u+VvbNTaWi0v17lz/cUL/TsbsxW8tZ2j+/7QoXb33XXyZD32WJ06VXfeuXvD6aPEhn8vCZ6PbJr9rVv0rqt3/lZLr9bZZye/uNSu/XWw+Y8PHvKNRvXpQ/2pB+vMmfb1B/rDn9l91Z9mzx4QPP+/vp+Vf+sSvb1dL71Uzz/X/Xq5ra629fVZ+cNhTSazMZ86MPnu9wenT7fj9/ef+3y76655zD6S4PnYTPu/ddlfWup/uVTLr7fl5Vpbm11fWKjtSXWTquoPHui+dWr4kyfq8cdnzw5uK8Hz8eu6mkxqNJoFPB7XykqtrNRrr9WLP59cXRtM1/yFhRqPq+/rySfrqads7PeC4Lldpmdyk0ktLMyujMf159X+ypX2woV67lz3l6ttWv7bb9e991rh94Lgue2m5fd9jd776UbX1bsb9eZb9fTTtbpazzxTBw/OdYoxBM/emb7kV9m6z43gmY9bv3d28nvGz2OZD5HPha0VBBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkX2MBaeILWM/4AAAAASUVORK5CYII=", "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": "e40b8a14f8a531fc3293df0678ab96c94db8e2cc5e532bc9a5f506e57ffb8ac2"} +{"episode": 33357, "episode_seed": 2117047679, "split": "train", "timestamp": "2025-09-15T23:18:55.780151", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2117047679, "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', [0.12321397602058286, -5.13174005939102, -34.25790751317327])", "action": "('move', [0.12321397602058286, -5.13174005939102, -34.25790751317327])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALaUlEQVR4nO3dW4hVZQPG8WevfWLMsbQMyhslMsu6UrqIDDTIkJAhx2Ywx4wsqbRQokCCUohARzItS01H0LFU6EAhYqcL0YrRyqCrDmCl2ZSJF+Hs2Yf1XayVfn706Rz2tPfy+f8u52rBnj/v+673XWulwjAUAA9BrS8AwL+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXicp1JRGNb6IjBkMrW+ANSRSkUBQ8AljZ8XkhSGKpcVBPr+e5XLqlRqfUEYGgSPeA6fTmvPHk2frlWrFAQql2t9WRgCqZAVGyRJO3ZoyRJ1dyufV3u7Fi1SGCqVqvVloaoY4RGP8MePq7tb2awKBS1dqk2blEoxt7/UEDwkKQy1ZImWLVOxqFxOxaKeeEJbtyoIVCxy3/7SwZQeks7N3pcu1UsvKZ9XoaDGRm3cqNZWFYvKZJjeXwoIHrFKJU76scf0+uvK5dTbq1GjtHmzmppUKinDHm7yETzOif4Xenv16KPq6FA6rXJZo0dr2zZNn849vEsBweM8UdVnzujhh9XZqUxGpZJGj9bOnZo6lZM5icevh/NEd+YbGrRhg1paVCopn9fvv2vuXB04oCBQqVTrS8QgEDz+V3Tq5rLL9NprmjlThYIaGnT8uNra1NUVj/lIKKb0+GflstJpdXerrU379sX37W+4Qbt365ZbmNsnFcHj/4qqPn5cra3avz8e2ydO1Dvv6PrruYeXSASPC4maP3ZMzc36/HNlsyoWNXGi3n9f48bRfPIwLcOFROv5MWO0Y4cmTVKxqHxe336r5mb98otSKZ6xSRiCx0Wk0yqVNG6ctm3TzTerUFA+ry+/VEuLfvst3qtHUhA8Li5avd94o7Zv1/jxKhSUy+ngQbW26o8/lE7zjE1isIZHX0X37Q8f1qxZOno0Xs9Pm6bduzVqFOv5ZCB49EPU/KFDamrSsWPxyH/33dq9W8OH03wCMKVHP0Tr+cmT9dZbGj1apZJyOe3dq7lz1dvL8/MJQPDon2hUv/12vfmmrrhCvb3KZvXee2prU2+vgoDm6xrBo98yGZXLuvNOdXZqxIj4afldu/TQQzpzRhLN1y+Cx0BEu3EzZqizU42NqlSUTmv7di1erHJZYchLcuoUwWOAovX8PfdoyxZlMqpUlMlo82YtXap0muDrFMFj4KL1fHOzOjokxW/FeeUVPfVU/GgN2dcbgsegROv5OXO0ZUt8DjcItHq1li2TxNy+7hA8BisIFIaaP1/r1yubVRAoCPTii1q+XFK8pEedIHgMVnTYplLRwoVauTJezAeBVqxQe3s8BaD5OsFJO1RHGMb36leu1DPPKJ2WpHRa7e1avDh+JS7n8GqO4FFN0dnbFSv03HNx3vm81q3TggW1vjJIInhUV/TflErp2Wf1wgvxbfxsVm+8oXnz4lt6jPM1RPCosugRmjDU00+rvT3+oMWwYdqyRS0tfMSmxgge1Ret2EslLVmiV19VPq/eXl1+uTo61NTEQ3W1RPAYEtFx+kJBixdr82Zls/EHLTZt0syZNF8zbMthSEQn7RoatGaN5sxRsahsVt3d6uhQsRjP+fHv4/uAGCrRgZzhw7Vpk0ol7dqladPinXlG+FphSo+hFb3o+sQJbdigBx7Q2LHUXksEjyH334VTe22xhseQO3v2ltprjhEeMMIIDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwWPI8Pa0+kPwGDKplMrlWl8EzkPwqLZoYO/p0alT8WfiUTcIHtUWBf/NN5o8WY8/rpMnpb+/NYdaI3hUW/SJqY0b9eOP2r9fPT21viCcw7flUFVhqDDUd9+ps1PptNraNGaMymXm9nWCER7VFgRau1Y9PbruOs2eXeurwXkIHtUTfUrqp5+0c6ckNTVp7FiVSgzv9YPgUT3RJtz69frzT11zjR58UJUKX5OrKwSPKqlUlMnohx+0Y4ckzZihCRNUqTC81xWCR5VEG29ff61CQbmcnnxSkgL+weoLX49FtXV16YsvtGhRra8D/4DgUSXRhpz+HtX5FnxdInhUW6WiclnZbK2vA/+AJRYGLVq9f/CBbrtNBw5IUoYDXXWK4DE4YaggUE+P1q3TZ59pxQqdPh3/HfWH4DFoYahDh7Rvn3I5zZ2rkSPZfq9bTL0wOFHYq1YpldKkSZoxg9t19YwRHoMQzdsPH9bevQpDNTfryitVKrH9Xrf4YTAI0e261avV26sJEzRvnsKQo3X1jOAxUNGx2a4uffqp0mm1tOiqq1QuM7zXM34bDFT0qMyHH+rECY0YoUceYXivf9y0w0BFm+33369USvm8rr2W23X1j5N2qBJqTwKm9Bi0YpHak4LgMSBhqHff1Zo1OnVKmQy1JwVrePRTNJifOqXnn9eRI/r5Z7W3xxvyZF/3GOExIB9/rCNH1Niou+5SKsVZ2qQgePRTlHd7u1IpTZ2qKVNUqbD3nhT8TuiPaOq+Z4+6upTLqbVVw4YxvCcIwaM/ouBXr1YYavJkNTfzmspkIXj0WXRs9qOP9NVXSqc1f76yWYb3ZCF49Fk0vK9dq9OnNX68Wls5S5s4bMuhb862vXChGho0ZYqGD+d2XeJwtBZ9dnazPfogbD7PZD5xCB79xCnaJGNKj74pFnXwoBobddNNyuWUSpF9ErEAw8VEX5j49VfNmqVJk/TJJwoCXkqbUIzwuJhoJH/7bZ08qauv1siREm+hTipGePTBX3/p5Zcl6d57deutKpfZjUsogscFRSP51q06elSjRmn2bKXTDO/JRfDog61bFYa64w5Nm8bwnmgEjwuKFvDLl+u++7RgwXl/RAKxD48+Ywc++Rjh0QflskqlWl8EqoARHjDCCA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8Aj/kUYqYl1ZkAAAAASUVORK5CYII=", "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', [0.12321397602058286, -5.13174005939102, -34.25790751317327])", "action": "('move', [0.12321397602058286, -5.13174005939102, -34.25790751317327])", "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', [0.12321397602058286, -5.13174005939102, -34.25790751317327])", "action": "('move', [0.12321397602058286, -5.13174005939102, -34.25790751317327])", "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": "56c69a67dcb283a2c279c1009b59d0a4b90721fdf01fa4604415800eae9a771c"} +{"episode": 33358, "episode_seed": 2173950996, "split": "train", "timestamp": "2025-09-15T23:18:56.722140", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2173950996, "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', [4.314172263743356, -0.6461603993683076, 15.209378190219553])", "action": "('move', [4.314172263743356, -0.6461603993683076, 15.209378190219553])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKN0lEQVR4nO3dXYic1R3H8d/s7mSV9qKa+h5FsRBf8EKMFbFQqFoRLFQbTaRRMEQQSYvQEgkUvFSRSqFCKqJYrGCMbVQKQumNEFREQcRQ4oWQKKQaFBVfdjNvvXim2myliXZmZ/T/+ZCLsHNzYJ/vnvOcOfNMazAYBKhhZtIDAJaP4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBTYTBIr5fBYNLj4JuuNXCVTdpgkFbrC/4PI2eGn7DBIINB+v08+WQOHhz+BMZE8JPUtD0zk9/8Jldfna1bD/k5jJzgJ6ZZvbda2bo1d96Z+fnce2+2bEm/P3wVRk7wk9HvD+/Vt2zJXXdlxYrhen7lyszMfP4qjJZNuwlo5vZeL1u25N57MzeXbjezs7nrrvz61+n3M+PvMOMh+OXW1H7wYH71q9x3X2Zn0++n3c499+SXv5z04Pimm5v0AGr5rPbbbsu2bZmbS6+Xdju//W02bza3M3aur+XT3JkvLuYXv8i2bZmfT7ebdju/+102b06no3bGzgy/TJrZe2EhmzfnwQczP5/FxczP5/e/z803p9PJnF8F4+cefjk0tX/6aW69NQ8/PNyTP/ro3HdfNm4c7tjZlmcZCH7smto/+ii33JJHHx3uyX/729m2LRs2OEvLsnLXOF5N7R98kE2b8uijmZ1Nt5vvfCcPPJANG7zfznIT/Bg1tb//fjZtyvbtmZ9Pr5djjsn992f9+nS7dulYbnaKxqXXy+xs3nsvmzZl584cdVQWFnLssXnggVxzjV06JsNFNxZN7e++m40b8/TTn9f+8MP5yU/S7WZuzmKeCbBpN3rNSv7dd3PDDXnmmbTb6XSycmUeeSRXXul0DZPk0huxXi8zM9m/P+vX55lnMjeXTicnn5zHHsuVV2YwUDuT5OobpWYl/+ab2bAhf/97VqxIt5tVq/LII7nssvR6lvFMmHv4kWlq37cvN96YZ58d3revWpU//Sk//GE6nbTbkx4i5Ql+NJp9uH378vOfZ9euz2t/7LFccona6+n30+9P4QlKm3Yj0Mzte/dm/fq88MLw5Oypp2bHjlx00fBVmAaC/381Pb/xRtaty0svDU/OnnFGHn88a9Y4OVtSp5M9e7J/f845J6ecMunRHMKm3f+lqf0f/8jPfpaXXkq7nW43q1fnz3/OmjVOztbTTJ8ffpjbb8+Pf5ydOyc9oKUE/9U1te/eneuvzyuvZH4+nU7OOivbt+f8852cLWwwyKefptVKpzPpoSxl0+4ranbpdu/OunXZvXu4S3f22dmxI+eeO3yVolqt4bbN9N0vuyq/iqbn117L2rXZsyfz88Pad+7M6tXp9dRe3sxMZmamMHiLzi+t6fnVV3PNNdmzJ+12Fhdz7rl56qmsXp3BwJ48ySefpNfL4uKkx7GUmejLae7bX345112XN94YnpM///zs2JEzz7QnT5Kk3c6aNVlYyOmnT3ooS3lb7ktoan/hhaxfn717h7VfeGEefzynn+5TMfxbv58PPsjHH+eYY/Ktb016NIcQ/JFqan/++Vx3Xd56a3i65vvfzxNP5NRTna7h68GS/og0u3TPPZe1a7N///CZsxddlJ07c9JJaudrwwx/pHbtytq1efvt4Ur+4ovzl7/kxBOt5PkvBw9m167s25cLLsh55016NIdwqR5G812uf/1rrr3289p/8INh7T7fziGa6fPjj3PHHbnppmzfPukBLeVqPYzmN/jKK/nnPzM7m04nP/pRnnhiOLfbk+cLtFpZuTLt9rTt2EXwhzU7m8Egt9+erVvT6+Xyy7NjR044YfhkG/gCzXcDdzrpdic9lKVs2h1eq5V2O3fcke99L1ddlWOPtUvH4TRrv+nbIBP8ERkMMj+fjRuH/1c7/0urNbU3e1alR+Q//15P66+SadJcJb3epMexlOC/BKlzpJoPz0zfFSN4GIPFxfT7U/jhGQdvYNR6vbz+et55J2eckdNOm/RoDiF4KMSSHgrxthyMWr+f/ftz4EBOPjnHHz/p0RzCDA+j09wgLyzk7rvz05/mj3+c9ICWEjyM2mCQN9/M3r15++1JD2UpwcOotVo5+ujMzEzhw0wFD2MwGAy/Xm7K3gUTPIzBtH54RvAwap99eKZ5fMo0ETyMwczMFH5XdAQPo9dqZWEhvV4WFqZtVT91u4jwtTc7m0svzSef5OKLp22Sd5YeCjHDwxh0u+n3Mzs7bU9HMsNDITbtYHSa6bPbzR/+kCuuyEMPTds7c4KHUev389xz+dvf8uKL07ZLL3gYtVYrK1ak1ZrCry6YugHBN8RgMPw3TQQPo/bZ0dopqz2Ch7EQPBTiufRQRas1PHgzfc+lFzyMTjOlt1pZtSqnnZZTTpn0gJZy0g7G4MCBHDiQ7343xx03VQt7wUMhlvQwBs0z7aZvNjXDQyFmeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FPIvu9aJKYdquDMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [4.314172263743356, -0.6461603993683076, 15.209378190219553])", "action": "('move', [4.314172263743356, -0.6461603993683076, 15.209378190219553])", "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', [4.314172263743356, -0.6461603993683076, 15.209378190219553])", "action": "('move', [4.314172263743356, -0.6461603993683076, 15.209378190219553])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKDUlEQVR4nO3dz4td5R3H8c+ZO5MSo6LEtNWIWoWIoq3W0NIYFTRNXRbqP+DOv0B3SpeC+3ZjocsuxLUpbbEtIklVFIwKikSRsUZSUBIn8+PcLs5p1KkkUWrvc/i+Xrs5q4cL7/s8z7nnPNPN5/MANSwtegDA/4/goRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYJnqubzzOeLHsTULC96APANdV2SbGwkyfLy+CfnJ3iman096+u59NJFj2NSLOmZnq2tJHnppTz0UB5+OE8/ndXVJFb4F2aGZ3r6PrNZjh7Nc88lyTPPZN++XH115nML+wsQPBMzn2dlJfN5Xn01s1m6Lrt25a67kqj9wgTPxAzT+IkTOXp0XNv/9Ke55JL0fZbsUC/EJ8TEDBv1d9/Nm29maSldl5//PDG9XxzBMzHDNP7KK9naymyW+TyHDiWCvziCZ0qG9fyZM3n++STZ2Mi+fbnhhgWPakIEz/ScOpW//S1dl67L4cPZsWPRA/pvfZ/NzQZ/JxQ803P8eP71r/Fe/aFD6br2ylpaavPpP3fpmZKhoD/+MUk2N7NrV267LUljv8BvbOStt7K6mltvzd69ix7Nl5jhmZ4jR5Kk73PgQPbsSdq5YzesND75JI89lsOH8+yzix7QdoJnMoaaTpzIG29kNkuSe+7JZZc1Nr0nmc/z2WfpuvHNnpYInskY3of905+ysTHGf+ed6brx8ZuGdN34hdTcrQXBMyld9/l6ft++3HzzeLE5S0tZWhI8fEPDun1tLUePJknX5c47c/31mc+bfKL2zJlsbeXs2UWPYzt36ZmGIexjx3Lq1Pjnj36UHTuyvt7e7/ArK9m/P2trDT4SJHimYXg35vnn8+mnSXL55fnxj5M0Nr0Pu4tLL83jj+f06Vx55aIHtJ3gmYBze+EXX0zfJ8mNN2b//qS14AdLS7nyygZrjz08kzCfZ3k5J07knXfGK/v2ZffubGw0GXzDzPBMwNZWui7/+Efeey9JZrPcffeix3Qe6+v5+9/z3nu5667cfvuiR/Mlvh6Zhq7Lyy/nzJkkueKK3H9/kvHX7oYMe4/Tp/PEE3n44fzhD4se0HaCp3V9n5WVnD6d114br1x9dW69teEjbrouu3dnZSW7di16KNu1+YHB54ZZ8+2388or45UDB9p8quU/hqf/NjayubnooWwneFo3hP3WW/nggywvJ8mDDyZt3p8/Z/h9rr3vpJY/M0iS2Sx9n2PHkqTvs3Nn7r03afOJ2sFwNEeTBE/ThidqT53KX/+aJH2fn/wku3cvelgXNATf3Gs9gqdtw6L4o4/GU+iTHD682BFdnOHlmfbmecHTtGGjfuxYzp4dN/DDD3Lt7Y6/7OzZ9L2XZ+Br6/vxTKv19Vx3XX7wg0UP6DyGKX3Xrjz1VB59tMGxCp7WffZZ/vzn8aTK++7LFVcsekAXNJvllltyyy2LHsdXsKSnXcO6/fjxrK6O6/l77sl3vpO+b3B3PA1meFp35Mj4JMsXz6htWt9ndTUnT+aaa/Ld7y56NF9ihqddQ9jPPZf5PH2f228fT5Rod3ofRry2liefzC9/md//ftED2k7wNGo44uajj/Lmm+OV/fvz/e+Pb841bT7P++/nxIn885+LHsp2gqdRw0EX54646brccUe6bgob+K7Lzp3jP59pjOBp1BD8X/6StbUkufba3HFH0vJ6/ouGTUjft3a/QfC0aFjPr6/n5ZfHKzfdNL4S29w78F/JyzNw8YawX389H3wwXvnhD7Nz5xQ28PnCyzPDKqUlgqdFQykvvpjV1SS55JLxTKumX4n9oqWlzGYNfjlN5fOjlqGUl14a3ze76qox+PYK+irDf8zY2sraWmur+ubuIkLfZ3k5H36Y118fr9x4Y/buzdbWRDbws1keeCBnzuRnP2vtK0rwNGc4rO6NN8bgu258Q24ChrxXVvLII3nkkUWP5isInuYM1Rw/nk8/HTfChw4lE9rAJ9ncHG88NrYmETxtmc8zm2VtLS+8MF7Zs2f8JzONrY7Pq71HbgYT+s6khOEm18cfj4dSb23l4MGsrCx2UBdtGP3mZn772/ziF/nd71r7ZU7wtGWYxr/3vfzmN/n1r3PgQH71q0WP6evq+7zwQo4cydGj7tLD+Zy77XXwYA4ezOOPL3pA30DXZceOdF2Ddx0ET6OG59CHLf2Udu/nDKM3w8PFaG92vGjnHq1trPbYw8O3QvBQiHPpoYquGx+8ae9cesHD/84wpXddrr02112XvXsXPaDtunl72wyYvJMnc/Jkrroqe/Y0tbAXPBRiSQ/fguFMu/ZmUzM8FGKGh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIf8GxuoBAXrNon0AAAAASUVORK5CYII=", "image_next": "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", "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": "f90f8fd33b6e5aa4579888c5ed6e9a4874f514ea5588fbaf04149378e51989e8"} +{"episode": 33359, "episode_seed": 2579120168, "split": "train", "timestamp": "2025-09-15T23:18:57.331263", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2579120168, "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', [-2.575294454779106, -9.464584736103944, 22.410850558008253])", "action": "('move', [-2.575294454779106, -9.464584736103944, 22.410850558008253])", "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', [-2.575294454779106, -9.464584736103944, 22.410850558008253])", "action": "('move', [-2.575294454779106, -9.464584736103944, 22.410850558008253])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/klEQVR4nO3da4hU9R/H8c85M7tqICKVFYFX7GLlJiVlWusaBrYadHlQGkIgWblKDyq1IB8IJhgluFoRBj0oISEyi7DQbAvTFGvxtqaFFwwpr4WWO3PO6cEcd9SMv607F/+f9+uR7KzDYdn3fH/zO+fMBkmSCICHsNIHAKB8CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBD8RYkiRVGlDwK4YEGSJJU+hktVkigIJCmKlMlU+miAC8CE77wg0JYt2rhRmQxzHpcGgu+MwqroyBFNnKgHH9SyZemEj+PKHhfwPxB8ZwSBkkQzZmjrVh04oCeeUFOTTp5UGCpJxJskVC2C76Rjx9TWJklBoPZ2LV6s+npt3qwgUBCwwkeVIvjOSBL17q2WFjU1qbZWSaLaWm3apNGj9cYbyuWUySifr/RRAv/ALn0ndWzRf/CBZs/Wzz+rpka5nCRNnKh589SvH7v3qDoE33lJojhWJqPt2/Xii1qxQpKyWeXzuvlmvfKKxo9Pv63w0gBUHMFfrFxONTU6cULNzXrpJUWRamvV3q6ePTVjhubOVRAojtP39kBlEXwX6Fi6f/mlpk3Tjh3pnJc0dqyam3XddekZu5A9E1QUv4BdIJNJz8Y1NOirrzR5crpLX1urL75Qfb3ef19hqDBkJw8VRvBdo7BiTxJdeaXefVdLlujqq9XerpoaHTyoSZM0fbp+/bU4+YGKYEnfxQqjPgy1caNmz9bq1elqP4p0552aP1/19bylR8Uw4btYoeR8XsOHa/lyvfBCekddt25av14PP6zXX1cYpjt5vNiizJjwpdKxk7dihaZP1/79xRP1jzyihQt17bXF5QBQHgRfQoUfbRBo3z41NWnlSknprXX9+2vJEo0bJ3F3LcqI4VJCHTt5ffvq4481b556905P1O/Zo8ZGzZmj339XJpNOfqDUmPDl0LF0X7NGs2alt9AXLtS7914tWKBhw7ggD+XAhC+Hjp28MWP00UeaOlVRpDhWba1Wr9YDD+idd9LaeflFSTHhyyqfVzarKNJ77+nZZ3X0aLqTl81q8mS99pp69eKkHUqI4MstjtNt+R079NRTamlJ845j1dVp8WKNHCmxk4fSYElfboXa41g33qjPP9fMmerRI13et7bqvvv06qs6dYo76lESTPiK6Vi6r1yp55/Xzp3FC28fekjz52vwYOY8uhgTvmIKoz6f14QJ+uQTPfpoWns2qw8/VGOjli9Pa+c1GV2FCV95hZ28U6f01luaNUt//pneUd+9u6ZN09y56ZqfnTxcPIKvCh07ed9+q6Ymbd5cPFE/apSam1VXx3W46AL8+lSFwudbx7FGjNCaNZo6VZLiWDU1+uYbNTRo6dL02/g8XFwMgq8WQaAwVByrVy+9+aaWLlXfvunnZx09qilT9OSTOnBAmQx/7gKdx5K+6iSJokjZrLZs0ezZ+vTT4qfl1NVp3jyNG8faHp3Eb03VCYL0JPwtt2jZMr38clp7NqvWVh06lF6lA3QCE756dZyEX7VKTU3avVvPPKPm5nSHjx17dALBV7WOW+j27dOiRZo5U1dcwX116DyCvwRQOLoK7+EvAYVP0cjnueQOF4sJDxhhwgNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgT0sSxTF/kBn/3/hz0f8uSRQElT4IoCtlK30AVSCOFYZatUp796q+XoMGKZuVdFbtcZx+hZcAXMqY8FI+r2xWDQ1au1ZhqIEDdc89GjVKo0drwADp7FGfyykIFIbEj0sRwZ+e8I8/rvXrtW+fcrn061Om6O2300e3bVM2q8GDFZ7e9YgiRZEyGWUylTpw4L8i+DO0tam1VVu3pv9YuFD33684Vi6nsWN18KDuuks33KAhQ3TTTRo06Nz/XvhJMvZRxQj+tHPW7bt2qV8/9eihMFRrq+rrdfx4+mj37howQAMH6vrr1dioMWPSUX/OsxXQP6oJwZ+WJMUzczU1xS8GgU6c0M6d2rBB69bp66+1d2/xfzU1adEi5XKqqdGWLerTR1dddZ5nJntUB4I/n0L5hZ25M8WxTp3STz+ppUVr1+qHHzRnjiZNUhQpCDRkiPbv19Chqq/X3Xerrk69eqlnz7OeIYqUJArD4l4AUEYEf2H+bUq3t6u2VpJ++0233ab9+4sPdeumESN0xx2aMEEjR577DIWtwUL5zH+UC8H/d4WfWCHgjlb/+kutrdq0SVu36scf1damX35JH3r6aS1ZIkn5vL77TidPatgwXX558QlzOWUyzHyUAcGXwLFj2rVLu3dr+3Zt2KAZMzR+vJJEhw+rsVFtbRo6VP3769ZbdfvtGj5cl11W6SOGC4LvOlGkOFYQpBfqFRw5oh491K2bwlB79mj4cB06VHy0d29dc40GDNCkSXrssfIfMtwQfAkUtvqTRJnMWe/Po0iHD2vbNrW0qKVF33+v48fTi3afe04LFlTqeOGDa+lL4Mx342dejZPJqE8f9emjhgZJ+uMPrVun9ev12WcaNy79ZjbwUEpM+PI686dN2yg7Jnx5/fPE/nkX/0BpMOEBI5z7BYwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJG/AXFL/GHAZE4wAAAAAElFTkSuQmCC", "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', [-2.575294454779106, -9.464584736103944, 22.410850558008253])", "action": "('move', [-2.575294454779106, -9.464584736103944, 22.410850558008253])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHsElEQVR4nO3a3Y9U9R3H8e85MygthRCgNGVTHxqoUKEiJRgkgKR/g7f+B/rH+C/Ye2+852GXFqGUp4JCLNFgoDyE2kQRd3fO6cVMWJdy09bdBT+vV+Zuz8ycneQ9v3O+v2n6vi8gQ7vSJwAsH8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkOFKn8DK6/sajappqm2raVb6bGApNX3fr/Q5PEXG5Y8f8OMTvcL3fTVNffllffhhvfhivfVWrVv3hGPGfAXwIxC9ws/P13BYH31Ub79dg0Ft2NC//EJ3+Eh78FDzxhu19mfVLB5xjEZVNbn4h2dR+gpfVWfO1MOHNRzWjRvNjRuDEyeraeqnq7u9e+vwkfbQodq2rdavr3XrajCYPHE0qq6rtnXbzzMmN/i+r1WrqqpGo/r55rp7p3u0ZzEY1Lfftcen6/h0VdWaNbV/f+3fX7/f07/0Uv3qhWbDhoX4Z2eraWowcOfPMyD6kn7s/v26dKkunh9d/qS9cqX528Xun/+qcfxtW8Nhzc9X142P7TZvqt/tbnft6l/d0e/c1e7cVWvWTF5nPO0fr/nK5+kk+EVu367Pr3d/v96cv9B8/HGdOlWzs5M/DYbVNjU39+jYbmpL+/Kva+vW2rOn9u2rffue0LmZH08VwU9W5r6vtl24UK+q+/fr3r26erWmZ2r66OgvZ5v57snDuratjRtr44Z+529Hh44MDx6sXbsWvdT4XbrOnh8rTPAL+n7hMVw83Jidra++qtOn69ix/sTR7vMb7TffNA8e9FWPt9s09dxztWH96MCB5sgf2gMHamqqX7u2ef75hWPm5ydHmvmxzAT/ZONPZbxR/59N3r1bJ0/WzInu7Lnm5s3m5s36+uuF+AeDyQZeVVV1U7/sDx4evPlm7d5dU1O1ZUutXr3wLnNzk2m/rT6WgeD/C4++Bb4f5xdf1Pnzde6v/ZVPmqtX68rlbn7UjOMfDqttF6YAVbVtW73+er32Wr/jlX7Hq+327Qt/evTzXlg6gv9fjG/I+66qWXTxf/16XbvaXbvWnDvfnDndX77SVU1u5Vetqr6fXMxX9W31v9nebt1ar2wb7d3b7t3XbN26/P8HcQT//+q6yWPVqoWL/7m5un27/8et/uKldmampqfrs88WntK2j/b5qqr/yera/Itm06Z67716550ajR4f+MEPRfA/mPG0b1zy95f90agePKhbt2pmpo4d7f4009++N3j4sObnH5/5vf9+vfuu4FlCgl8S4/irnjzz+/TTmp6umePzFy8P7txt7t3pZ+dqOGwuXart2yeTQlgKgl8O3/+MH4v5woU6e6b786nm2++aP36wzOdFHMGvgMnMr1+0G2dhZxkIfiU9mvZ3/aKZHywRwT8trPAsA7/zeFqonWUgeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjybxLnliOYG6iqAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHsElEQVR4nO3a3Y9U9R3H8e85MygthRCgNGVTHxqoUKEiJRgkgKR/g7f+B/rH+C/Ye2+852GXFqGUp4JCLNFgoDyE2kQRd3fO6cVMWJdy09bdBT+vV+Zuz8ycneQ9v3O+v2n6vi8gQ7vSJwAsH8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkOFKn8DK6/sajappqm2raVb6bGApNX3fr/Q5PEXG5Y8f8OMTvcL3fTVNffllffhhvfhivfVWrVv3hGPGfAXwIxC9ws/P13BYH31Ub79dg0Ft2NC//EJ3+Eh78FDzxhu19mfVLB5xjEZVNbn4h2dR+gpfVWfO1MOHNRzWjRvNjRuDEyeraeqnq7u9e+vwkfbQodq2rdavr3XrajCYPHE0qq6rtnXbzzMmN/i+r1WrqqpGo/r55rp7p3u0ZzEY1Lfftcen6/h0VdWaNbV/f+3fX7/f07/0Uv3qhWbDhoX4Z2eraWowcOfPMyD6kn7s/v26dKkunh9d/qS9cqX528Xun/+qcfxtW8Nhzc9X142P7TZvqt/tbnft6l/d0e/c1e7cVWvWTF5nPO0fr/nK5+kk+EVu367Pr3d/v96cv9B8/HGdOlWzs5M/DYbVNjU39+jYbmpL+/Kva+vW2rOn9u2rffue0LmZH08VwU9W5r6vtl24UK+q+/fr3r26erWmZ2r66OgvZ5v57snDuratjRtr44Z+529Hh44MDx6sXbsWvdT4XbrOnh8rTPAL+n7hMVw83Jidra++qtOn69ix/sTR7vMb7TffNA8e9FWPt9s09dxztWH96MCB5sgf2gMHamqqX7u2ef75hWPm5ydHmvmxzAT/ZONPZbxR/59N3r1bJ0/WzInu7Lnm5s3m5s36+uuF+AeDyQZeVVV1U7/sDx4evPlm7d5dU1O1ZUutXr3wLnNzk2m/rT6WgeD/C4++Bb4f5xdf1Pnzde6v/ZVPmqtX68rlbn7UjOMfDqttF6YAVbVtW73+er32Wr/jlX7Hq+327Qt/evTzXlg6gv9fjG/I+66qWXTxf/16XbvaXbvWnDvfnDndX77SVU1u5Vetqr6fXMxX9W31v9nebt1ar2wb7d3b7t3XbN26/P8HcQT//+q6yWPVqoWL/7m5un27/8et/uKldmampqfrs88WntK2j/b5qqr/yera/Itm06Z67716550ajR4f+MEPRfA/mPG0b1zy95f90agePKhbt2pmpo4d7f4009++N3j4sObnH5/5vf9+vfuu4FlCgl8S4/irnjzz+/TTmp6umePzFy8P7txt7t3pZ+dqOGwuXart2yeTQlgKgl8O3/+MH4v5woU6e6b786nm2++aP36wzOdFHMGvgMnMr1+0G2dhZxkIfiU9mvZ3/aKZHywRwT8trPAsA7/zeFqonWUgeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjybxLnliOYG6iqAAAAAElFTkSuQmCC", "image_next": "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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": "baa891a384e0a53963742668d79f29068b7e9df97b407dd3571d08a0b619f0d6"} +{"episode": 33360, "episode_seed": 1168421639, "split": "train", "timestamp": "2025-09-15T23:18:57.938466", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1168421639, "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', [13.08461099287358, -9.471879292424243, -25.686572463685156])", "action": "('move', [13.08461099287358, -9.471879292424243, -25.686572463685156])", "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', [13.08461099287358, -9.471879292424243, -25.686572463685156])", "action": "('move', [13.08461099287358, -9.471879292424243, -25.686572463685156])", "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', [13.08461099287358, -9.471879292424243, -25.686572463685156])", "action": "('move', [13.08461099287358, -9.471879292424243, -25.686572463685156])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHZ0lEQVR4nO3czY+dZR3H4d/zPNOBhS5IGzOaWFYaQjS1LKDpQqvlZcRNMcYoi6ZVEhOqIfwD+j9gVGJMVWIwklKDWrEN2GpYDaaBBLqBLS0JLPCFBDtzntvFOe0QTCnKTE8n3+taTu6T3JvP3G9npmutFZChn/cEgGtH8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8HB1rdVkMu9JbISutTbvOcDWsLZWVbWwMO95fAhWeHg/0wXxrbfq3LlaWKiFhZpMajKpLbpQCh7ezzTsZ5+tAwfqgW9NfvdUG4Yahuq6Ldm8LT1cUWvVdfX223XoUB07VlXtox/pbr11/OY36uCh/qab1oe1Vv1WWD0FD1c0jtX3de5c7d5dFy+u/7zr6mM7Jvd9tTtypP/Up+uGG2aDp9l33bzme3WChyu6vMI/8UQ9/ni9+GK98Uar6vqhxtml/bh8T337gf7222vnzqqqcazJpBYWrtPsBQ8f1HPPtd/8ejz9l+Hll8eqflr16mpV1S231P331/79tXfvbPDa2uyof10RPFzd9BF+GKqqXn21PXOq/eFEd+KPrarr+24YZtlv31533dW+8uX2ta/3N95YVTWO1XXXUfaChw9qMqlxUtsWq6r+8fd64YV27MnuFz9v//xXV1ULC7OH+sVt7TOfbct313ce7Hd+cv3j0xuB+RI8/G/GscZx9vWbNtb58/Xk8Xr00XrllVnw1VW1qmo7dtT+L40PHhnuuGN2sVdVk8k8L/YED/+P1mocZ5v8qhrHOnWqfvzDyfNn+9dfr6qu72scZ2Nv2zV+7+Hhi/vq5ptn41dXaxjmsOALHj6U6U3+ZS+91H71y3b6r/3KSqvquq6GYbbyLy3VwYO1vNz27u2mC/61z17wsDHevdV/88068fvx6ZPdU79t71zsq2pxcfaSv7jY7r237rm7HbivX1qqurabfMHDRpq+w2/bVlW1ulp/e358+k/90aP12mtVVcNQY6s2VlXbtav7wufHw4f7z+2+dtMTPGy8d2dfVRcu1Jkz9cgjtbIyO9hfOuG37dvrtl3jdx8alpdrcfG9B4QNJ3jYLP99sbeyUj/50fjMn7vz56tqVnbXVWvt6NHu8OFaXV3/NbEZtvKf9sL1bXpjV5cu9vq+9uypPXv68xfqZz8dT55sZ8927/y7G4aq6i5d6W+ueX8PAAJc3qVP1/xPfLy+/4P+9Jn+scfaoUO1tNTW1trsDX+zZ2JLD9dYa7W2tr51P3u2HT9e+/Z1d95Zk8n6EWAzCB7mY/p/8vp+9g6/2af3KcHDPL3nYm+zCR6CuLSDIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8Be4aA9SCZb/0AAAAASUVORK5CYII=", "image_next": "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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": "65dddbd4549b7eaa66602ddce0debe9c14e70d1b8202b095433f7ce70192a97b"} +{"episode": 33361, "episode_seed": 400946825, "split": "train", "timestamp": "2025-09-15T23:18:58.895417", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 400946825, "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', [-2.49301323389619, -3.1242857217933735, -59.59085075567358])", "action": "('move', [-2.49301323389619, -3.1242857217933735, -59.59085075567358])", "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', [-2.49301323389619, -3.1242857217933735, -59.59085075567358])", "action": "('move', [-2.49301323389619, -3.1242857217933735, -59.59085075567358])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKgElEQVR4nO3d34tcZx3H8c/M7EYSlRhNotsSImXbaOyPUEUx/qxteqViGlCognjnP+OleOGNv0CksmhFERuEmB9qkRrautHUhoiYhLSpBsm27s7M8WJOs632oklms2fzfb2ukrOzywPL+zzPPOfZ3V7TNAFq6K/3AICbR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGC33jG44zH6z0INqZe0zTrPQbelMk3qtdb73GwkZnhO61pVifzXq+t/ejRHDmyjoNiA5tZ7wHwBiadN01mZtrIX345Z8/mscfy2GN5/vncf3+OHVvvUbIBWdJ3y3ic0Wi183//O2fP5ujR/PCHq4X3+xmP88c/Zt++NI1FPtfADN8Jr53S+/0k+cMf8uSTeeKJ/PznWVlJkpmZNE1Go4zHedvb8swzgueaCX6dNU2aJv1+BoMkOX06v/hFjh/PiRM5dy5J+v1s2pTl5QyHSbJ/fw4cyMc+lg99qP0ovHmW9Ovg//fbL13KwkIefzyLizlzpr04GGQ0av+9Z0+++MU89FD27Mm7331zh8stxAx/80yen199f57k8uX85jf5zndy/HguXWrn8Neam8vnP59HH80992TbtvbiaJSmyWBgMc81M8Ovuckb7yQzr95dz5/P4mJ+/OMsLOTixfZir9fO/DMz2bUrH/5wHn00Bw5k8+bVLzUapdezjOf6CX4NTbbcZ2fb/54/n5Mnc/RofvKTnDrVXpydbffkktx1V/bty0MP5eDBbN+++nUcuWFaBD99k324vLqjtrycw4dz5EiOHs1vf9u+ZtOmjEbtzL9zZx5+OJ/4RD71qezZ077AZM5aEPx0vOEkfOJEFhZy4kQWF3P5cpL0++n1Vlf4n/tcPvvZfPCDufvudpd+8jbe+3PWiOBvyOT5+Wun4vE4f/1rfvSjLCzkb3/LP//5v58yGOQjH8lXvpKHH87cXLZsaa+vrKw+nIM1IvjrNDkAc/X9+dJSzp3L4cP5/vfz5JNvsN++bVt2784jj+RLX8r8/OtuEJPn8KZ0bgLBX7PJU7HJlvt4nGefzVNP5fHH87OfrS7Ir/7Qy9at2bs3+/fnkUeyf//rvo6tOG4+wV+nv/wlR47k2LE88UQuXEiSwSD9/uqW+0c/2u7DPfhg3vKWJO0t4OoPvcHNJ/g3a3JqfTzOT3+aH/wgzz6b06fbD83OZjhsZ+w9e3LwYD75yezbl7m59hOHw/Z2AOvLSbs3a7K7PhjkV7/KwkJ7ZRL5ykp27MihQzl0KHv35rbb2k+5usK/+lYf1pfgr8F4nMEgDzyQb3+7/SHWd74z+/fnq1/Npz+drVtXXzkcpt9fPVoHHWFJfw0mq/oXXsjXvpalpXz5y/nCF/Kud73uBbEPR4cJ/nq8+OLq0dfJc3iRsyEI/ppN5vnhsD1vI3U2EMFfj/HYljsbkuChEPMUFCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBTS4eCbJkmOHcuBA/nmN3P58upF4Lp0OPheL0l+97scPpzvfjdXriSChxvS4eCTjEY5dSq9Xj7wgezYkbx6FwCuS1eDn8zkr7ySU6fSNHnvezM7m+FQ8HAjuhr8xH/+k6efTpLduxPrebhR3Q7+7NlcuZKtW7NrV2I9Dzeq28GfOpXBILffLniYim4Hf/x4RqO85z2Ch6noavCTtnfvzp13Zu/ebN6c4TD9ro4WNohe0+WdsJdfzrlz2bIlc3NpGjM83KBuBw9M1UZYJLslwZTMrPcA3sh4nH4/v/xlFhdz33158EHreZiKTi7pV1YyO5tDh7KwkPvuy8mTGQ4z08l7E2wo3VvSN027G3/+fDZtysc/vt4DgltHJ4MfDHLhQi5ezPJy3v/+xBN4mI5OBp/k9OlcupTBQPAwRV0N/rnncvlytmzJvfcmgofp6F7w43GSnD6dpsncXLZvTwQP09Gx4K/u2J05kyT33pum8RwepqVjwSeZmcnSUvsLre6+29wOU9TJ5/BNk1deyT/+kS1bcttt6z0auHV0MvjRKP2+uR2mrpPBA2ujS+dVrx6Y//Wvc+ZMHnggd9xhnocp6t6m3dJSvvWtfP3r+d731A7T1aXgJ28uXnwxZ85kNMrOnes9ILjVdCn4iZdeah/C33NP8uo5HGAauhT8ZIa/eDH/+lfe/vb2T80A09Ol4Cdn7J57Lkne975s3Zo4VAvT1KXge72MRvnzn9PrZX4+27at94DgVtOZ4Cfr+aWlnDyZpsn8fDZvznhshocp6kzwE8vLeemlDAa5447Ejh1MWcdO2g2H+f3v86c/5TOfyfx8+9ssgSnpWPDAWurk/DkaWczDWuhY8M88kwsXEk/jYE10LPiDB7NrV77xjfR6WV5e79HAraZLwV+8mL//PcNhe4reJA/T1o3gJxuHTz+dlZVs354770wED9PXjeAnW3SLi0myY0fm55N4IAdT16WonnoqTZN3vCM7d7a/5QqYqi5FtW1bbr8999+fXs9jOVgL3Tt4c+VK3vpWfx8a1kKXgp+MROewZrq0pO/10uv5OzOwdroU/IQZHtZM94IH1ozgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoZD/Avp3h4m6DIRiAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [-2.49301323389619, -3.1242857217933735, -59.59085075567358])", "action": "('move', [-2.49301323389619, -3.1242857217933735, -59.59085075567358])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALDUlEQVR4nO3dW4hVZR/H8d/ae894KhxJxzOKjVB56oRIdtERKypLQS+yE8WUZCZKUuFFN0HRiZLsxFSTadCFUWFKSBQV2E2IkTZKEqVmpjaazszes9de78Vajr4vQuXseWft9ft+Lr1aF/vr86z/ematIIoiAfCQ6+8LAPD/Q/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjGQz+ChSFPX3RQDpk7Xg486DQEGgSqW/rwZImUwFX6koCNTWppYWdXUpl1MY9vc1AWmSneCjSLmcjh/XsmW6/341N+vwYeXzrPPAKRkJPt7JF4tavlybN2vAAK1dq/nz1damXI7mgURGgg8CSSoUNHOmhgxRsaiBA/Xll7r1Vn3xRdI8YzwgiDLUQaWiXE6bNqm5WXv3auBAdXWpoUGrV2vRomSdz2XkvzjgbGTq5x+v5DfeqI0bdfnl6upSfb3a23XnnXrmmeQmn+09nGUqeJ1sfvp0ffKJ5s5VqaRCQUGgxx7T0qX66y9G97CWteB1svlRo/T++1qyROWyJNXVac0aLVqkX35RPk/zMJWpe/jTxc/kJT33nB5/XGGoAQNULOqSS/Tmm7rssuSGH7CS2eClU1O6Dz7QQw/p0KFkjDdypN56SzfddOpYHmAiy8HrtJO2W7fqnnvU1qb6epVKyue1Zo2amyWx1MNIxn/p8aH6KNKsWdq8WVddlYzxwlAPPKBVq9TZyRgPRjK+wveIl/H2di1ZonXrlMspl1O5rDvu0AsvqLFRYah8vr+vEuhjGV/he8TLeEODWlr0xBOqVFQuq75e69Zp3jy1tXHqHhZcVvhYPLoPArW0aOlSdXQko/uJE/Xee5o9mzEeMs4reElRlPS8ZYvuvlv79ydjvHPOUUuLFiyQGOMhu+x+1z2r93XX6bPPdPHFKpVUV6fjx7VwoZ59VuUyYzxkll3wPSoVTZmijRt1883q7lahoHxeK1fq4Yd17Bin8ZBNdlv608WT+WPHtGqVVq9WECifV7msG25QS4vGjDm1/weywTp4nWw+DPXyy1qxQlGkujp1d2vqVK1fr2nTGOMhU9yD12kjug0bdN99am9PxngjR6q1VXPm8If0yA5+xcrlktdaz5unTZvU1KRSSfX1+v13zZ2r115LUucpPTKA4KXTXms9a5Y+/TQ5gVtXp1JJixdr5cpkdE/zqHVs6f9LfEv/xx9auVLvvJMctg1DLVig119XQwNjPNQ2gv9fcfPFop5+Wk8+KSkZ411xhdau1aRJjPFQwwj+DHrGeG+/rcWLVSwmJ3DPP1+trZo9+9QRXaC2cA9/Bj1jvHvv1Ucfady4pPmfftItt2j9+uR+nlt61ByCP7N4AQ9DzZmjjz/WzJkqFlVfrz//1F136amnlM/z+TrUHrb0f6NcVqGgvXv1yCPasCH5K9ooUnOzXnpJAwcyxkMtYYX/G/HrccaNU2urli1TGCqKVCjojTc0f7727UveqAPUBFb4fyQe40WRXnxRjz6qSkWDBqmzU7fdpg8/ZIaHmsEK/4/EtUtavlzr12vECHV2auRILV3KUzrUElb4fyde6r/6SitWaMUKLVzIPTxqCcH/a3Hzhw/rvPOoHTWG4M9GfBqPN2Gh5hD8WaJ21CKCB4ywSAFGCB4wQvCAEYIHjKQ4+Hia+PXXuv56vfKKjh499Y8AzkqKg49PtGzdqi1b1NqqEyckggd6JcXBSwpD7dypINCUKRoxQuLMOtAraQ0+Xsm7urRzp6JIEyeqrk7lMsEDvZHW4GPForZvl6QJEyT280BvpTv4n3/WiRMaOlTjx0vs54HeSnfwO3cqn9fYsQQPVEW6g//mG4WhRo0ieKAq0hp83PaECZo8WRddpEGDkq89AeiFdP+1XGen9u/X4MEaPZp3TQC9l+7gAVRVLWyS+S8JqJJCf1/AmcRvk9m8WTt2aMYMXXst+3mgKlK5pe/uVl2d5s/Xhg2aMUPbtiXffwHQO+nb0kdRMo3/7TfV1+vKK/v7goDsSGXw+bwOHNDBgyqVdOGFEk/ggepIZfCSdu3S4cPK5wkeqKK0Br97t44e1eDBmj5dInigOtIXfPzJ9V27FEUaPVrDh0sED1RHyoLvmdjt2SNJ06cringOD1RLyoKXVCiooyN5odXUqaztQBWl8jl8FKmrS/v2afBgjRnT31cDZEcqgw9D5XKs7UDVpTJ4AH0jTedVew7Mf/659uzR1Vdr0iTWeaCK0je06+jQq6/qwQf17rvUDlRXmoKPby4OHdKePQpDNTb29wUBWZOm4GNHjiQP4adNk06ewwFQDWkKPl7hDx5Ue7vOPTf51AyA6klT8PEZu927JemCCzR0qMShWqCa0hR8ECgM9eOPCgI1NWnYsP6+ICBrUhN8vJ/v6NC2bYoiNTVp0CBVKqzwQBWlJvhYqaQjR5TPa9IkiYkdUGUpO2lXLuvbb/XDD7rmGjU1JW+zBFAlKQseQF9K5foZhmzmgb6QsuC//14HDkg8jQP6RMqCv/12jR+v559XEKhU6u+rAbImTcEfPKhff1W5nJyiZ5EHqi0dwceDw+3b1d2t4cM1ebJE8ED1pSP4eES3Y4ckjRihpiZJPJADqi5NUX33naJIDQ1qbEzecgWgqtIU1bBhGjtWl16qIOCxHNAX0nfw5sQJDRnC96GBvpCm4OMroXOgz6RpSx8ECgK+MwP0nTQFH2OFB/pM+oIH0GcIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH4TZ7Wt2JKaVAAAAAElFTkSuQmCC", "image_next": "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", "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": "83cff607d3f88e0528b826bf812e883a73f9138e423f194a3756432a4702c6dd"} +{"episode": 33362, "episode_seed": 2287416138, "split": "train", "timestamp": "2025-09-15T23:18:59.507284", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2287416138, "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', [10.76086936094425, -2.4063789125335284, -51.5724874087608])", "action": "('move', [10.76086936094425, -2.4063789125335284, -51.5724874087608])", "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', [10.76086936094425, -2.4063789125335284, -51.5724874087608])", "action": "('move', [10.76086936094425, -2.4063789125335284, -51.5724874087608])", "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', [10.76086936094425, -2.4063789125335284, -51.5724874087608])", "action": "('move', [10.76086936094425, -2.4063789125335284, -51.5724874087608])", "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": "6f9d5621141e8fa231d74b1b6a300c65cbf1644ae03b172ffd10ab3afab7948b"} +{"episode": 33363, "episode_seed": 2460857047, "split": "train", "timestamp": "2025-09-15T23:19:00.117485", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2460857047, "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', [-5.1630504925761835, 6.789259075159047, -8.29900695845843])", "action": "('move', [-5.1630504925761835, 6.789259075159047, -8.29900695845843])", "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', [-5.1630504925761835, 6.789259075159047, -8.29900695845843])", "action": "('move', [-5.1630504925761835, 6.789259075159047, -8.29900695845843])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIdElEQVR4nO3aTWtcdR/H4d9MJmmbB0oprYi2tKGIWiu24MZNi7qVvgPBhfoSdO+iL0BcCq7EjSsXgroQV27E0ieQiqS0WEsLAZsH28zMuRczJM2Ylrt373S03+viMJw5mcw5efj8z5n/TKtpmgIytMd9AMDjI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI0hn3AYxVt1ut1sYCT7pW0zTjPoZ/gF6ver1qt2tiQvk8wYKDb5r64YfaubPm52vfvi0e0O878/OECQ5+ba0OH65+vw4dqgMH6vDhOnq0Tp2qAweqaTZ1PvIrMgTwrxUZ/KDnhYU6fHjT9p0764sv6vTp6verqr78sp57ro4dq/b9pzbXf3tGAf4NIoMf6Hbrxo06d67Onq2zZ+vHH6vfr2++qRdeqKq6eLFefbWapvbsqRdfrBMn6sSJeuWVeuqpmpmpqaktnq1q+BLgAQMEjFVw8H93/Xrt31/tdrVa9e239f77df16/fXXpsfMztYnn9Tbb1e3W+123bxZU1O1Z8+mxwzi72S/A8I/UvY/5b2DXatVTz+9sfHkyfr667p0qS5dql9/ratX69q1unKllpZqba2qqtOpxcV69926c6defrmOHKmDB+vgwXr22dq9e9Neut1qmmq3h0MJjI8z/D1G5urutbJSCwv1229140a9/vrwxf8vv9Tzz288ZnKyDh2qQ4fq4MF66606fXrrXazvRfw8doK/v36/+v3hCX9ycosHLC3VV1/VhQt1/nydO1dXrmx86cMP68yZ4frHH9fCQp08WS+9VPPz23/ccF+C/+80zTD+pqlOZ/TkvLJSKyt161adO1fnz9d339WZM3XqVFXVjRv1xht18WJNTdX0dO3dW8eO1YkTdfx4HT9ezzwzjh+GXIJ/BIP+7zcn3+9Xu11Xr9YHH9RPP9XiYt26tWnW4OTJ+v776vVqYuLxHC9kT9o9ovXP4W35bvxgIDhwoD7/vNbW6sKFunixzp+vy5fr99/r2rV67bXRb4Ft5gy/zQavBUbO4YuLdfly7ds3+skf2GaCfywGF/+DWcB221v0jIvgx2Ew/+czeTx2gocgzjAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQpDPuA3jyNc2mu63WmI4DBP8YPErhg8FiZMh48HMaUHiAVvP3/yb+T/r9arfr559rYaH276/p6Zqbq7m52rWrJiaq1ap2e/T20XNtmo1l3frTDvZCLMFvo263Op1655367LOamKheb7i91aqZmZqdrdnZmpsbrs/N1exszcwMV0a2zMzU1FR1OhvLxMSmu4NFzDyYS/rt0jTVbldV3b1bnU5NTlavt3GJvrpaKyv1xx8P/bQzMzU9XTMzW6+MrO/cWTt21NTU8HbXrjpypHbvrqYxNIQS/DZqt4dtd7vV7T7ENw6u8Ecu8pum+v1aXa3l5bp58+GOpNOpHTtq79769NN6883q9arjLx/Jn327rIf60Uf13ntVVXfu1PLyxrK0VCsrtbR0342rq//LTteXgcEw0evV8vLwioNkgt9erVYdPVpHj2791aapbrd6vY3l3ruD9dXVun27lpbq9u1aXt5Y33LL8nL9+WfdvbsxaTe4bber16vp6ZqeHh4VmQS/7fr96veH6yNn4FarJidrcvKRnn897PXl7t2NIWCwLC/X4mJ1OjU/P9wvmczSj9PD/u6FyiNyhh+nbQ14ZDQZzMwbMsI5w0MQ87YQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5D+2xPIsemIEZwAAAABJRU5ErkJggg==", "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', [-5.1630504925761835, 6.789259075159047, -8.29900695845843])", "action": "('move', [-5.1630504925761835, 6.789259075159047, -8.29900695845843])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHcElEQVR4nO3c3W4UhxnH4XfWdmKIUGTCh5IaY2htcBzAICFxmCvgFnILOc0N5DqSa8gdRMpBJQo4cYE0gLEgjlQgjvgouN7d6YEdf9WKqirYhP/zHPhgNbM7u/JvPt7xumnbtoAMnb3eAGD3CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CDO71BuyNtq22rapqmmqavd4a2C1Nu/qLH6zbrbatTmctfv3zBosLvm2raWpxsR49qiNH6siR6my6rOn1qtdbi3/1J7xJ4oJfWamhofr00/ryy5qersnJmphoTxzvn/hzZ3y8OXp0y8LdlapG/Lw5soJv2+p2a2ioLl+ur77aeLiq/eCDzuhojY3ViRM1NVVTUzU9XQcObF99M7sA/nCygu/3q9Opx4/r449rbm7twabZXvJbb9XISB08WEcP98+erZkLnXPn6syZGhra4Tk3z//KXoDXW1bwq5aX6+uv65tv6uqV3reztfRkYPllLf+7qtqqHXodHKy33659+9qpv/QuXBq8cL4uXKjR0RoeruHh7Qt3u1W1Mf/TP6+VxOC3uXevrl2r2ev963/r33sw+PPPtbRUz55tib/TqX5/y1ojIzUzUzMzdf58TU60hw7VwfeakZEty3S7a+cUpgC8JkKDX3/T/x3hzZt182bdmOv/43Zz/35z/0E9WOgvrzTr/Q8OVqezFvOven96v5n6qDP9YZ2abMeOtWPjnbGxevfdLa/Y7a4d88XPXgkNfrPVi/C2rX6/Bga23KV7+rQWFmphvj9/r3643bl1q77/vl1YqPX4m6aGhqpta2Vl4/ma6p84OTA+XseP18mTdfp0nTpVp09vGQGsvqLLfnaZ4LdYL7/tVzXbp3RLS/XoUT18WHfv1uxsfTvbXr3Se7Q0sLn/Tqd6vS1rvbO/3jtUhw/X6Pu9M2ebc+c7587VxMRuvSXYRPC/pd/fOP4PDm4/FD9/Xv963v7zYXP9el27Vlf+2pubq2cvBlZWtl/w/6qtquHhZv/+OvBO/8x0e+b8wOXLdenSxtEeXinB/69WP6f1U/HOTl87WlmpW7fq6tVa3QUsLtYvv9STJ7W8vMP8f/V24Gef1eefr/05ELxqgv///cbkb9XLl/Xdd3Xj7+3cbO/2/MCPi83iYi3+2G9rYwT4xRf1ySeCZ5eEflvud7Fj5+uXAG1bw8N18WJdvNisfs6PH9edO3Xnh7o7X3fn68aNevGiJieraufzBfjdOcK/Qmvzv3btbvzg1r3rTz/V06d17Fjt27dH20cewe+e9firdhgBwi4Q/N7wHzjYE4KHIIZFEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOQ/L86C/w8nfGcAAAAASUVORK5CYII=", "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": "4dceaebee154f73efb76c274ed26262cc01eae69bc7e24d477a038c58efb5e72"} +{"episode": 33364, "episode_seed": 3787971493, "split": "train", "timestamp": "2025-09-15T23:19:00.725995", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3787971493, "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', [-9.903238231324133, -0.37895994391632515, -36.3954047500144])", "action": "('move', [-9.903238231324133, -0.37895994391632515, -36.3954047500144])", "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', [-9.903238231324133, -0.37895994391632515, -36.3954047500144])", "action": "('move', [-9.903238231324133, -0.37895994391632515, -36.3954047500144])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ7klEQVR4nO3dX6ikdR3H8c+cmXFD3IraLLwQi0CjlcJApEKCgo3+aEKdpCLCWkqwhYyIJBAKoYukhf6RVKDY0iaR1JJZN4YYmHQhaouKyRL+2RtJUzZ35sx0McNWpmi5debs5/W6WvbqNzDveZ7n+/ye5wzm83mADmubvQDg/0fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUKQp+Pk88/lmLwI202izF/B/NBhs9gpgkzUFf+hQHnggL3tZzjkn83nWVvHsZnEK4qeJ/5FV/NIff7NZklxySd75znzjGxkMMp1u9pqexXyewSCDgSsP/lc6gl8cMd/0poxG+fOf89RTGY9XrapF7U88kSNHMhgsf6Pg+OoIfuHtb890mgcfzL33rlpSs1kGg/zlL1lfz2c+k7/9LWtrK7VAThAd1/CLI/x552U4zKOP5o9/zDnnZDbLcLjZK0uynCc89VT27MnNNyfJ4cO57rqcempms9UcNbBVNX2bduzIWWdlMsmddyYrNxm7667s358k43FuvjnvelfuuSdra9nYWLWLD7awpuDH41x8cXbtypvfnCTD4YqUdOz8Y9++vOY1mUwyHueuu7JrV37zmwyHmue4Gcx7vkrzeTY2Mhot/71KR/hjd+N+97t86lM5eDDjcSaTvPSl+frXs3v38iJ/lZbMltQU/MJ0msFgRa7en2E6zWiU++/PJz+ZW29dHtvH43zhC7nqqmTlfqbYesqCX/liFs0/9lg++9ns27c8qs9m+ehHc801OflkYzxelLLvzmCQm27KO96RPXty5EiSVbs4Ho0ym+UVr8h11+WKK5Y350aj/OhHee9789BDxni8KE3BL+5rHzyY3/42v/xl/vrXzV7Qs1tEPhzmqqvy7W9n+/ZMpxmPc8st2bUrd9yR4TDTqeb5b/QFf/bZ2bYtDzyQw4c3e0HPaW0t83lms3z609m3L6edlskkJ52Ue+7JBz6Qn/0s43FmM83zH2sKfnHte/rped3rMhjkD39IVu5u/DGDQdbWMp3mfe/Lz3+es8/O0aMZjfLww/n4x7N372qOHVl1TcEv2j7jjJx1Vubz3HbbZi/o+Y1GmU7zlrfkwIG8+92ZTjMc5skn8/nP53OfW34gO3B54cqCn0yybVve8IYkue22bGxs9pqe36L500/PDTdk9+5sbGQ4zGCQvXuzvp7HH1+O8eCFaAr+mDe+MeNx/vSnPProZi/lBVmM7k85Jddck69+9R/352+4Ie9/f+67L8NhJpPNXiVbQVnwi8v4nTvzylfm6afzi18kW+OceDHGm8/z5S/ne9/Ly1++3IF766254ILcckvG49V8xp/V0hf8fJ4zz8x73pP19eW5/arO7Z5hsQlnYyOf+ER+8pOccUYmk4xGufferK/n+uszGpnb8zzKdtod89hjOfnkvOQlq7/37t8de7pm9+7cfvty1/22bbnyynzpS0nsxuM5VQa/BSN/hsUO3MOHc+mly9vyGxuZzXLZZbn66px00nK2B89QeSA49ta4I0eWG2y3msUY79Wvzv79ueyy5cRuNMq3vpUPfzgPP2yMx7OrDH5xhL/22lxySb773cznWzGOxThiPM43v5mvfW05tBuPc+ONueii3HmnMR7PojL4xVj+2mvz4x/nppu27oPmi1VvbOSLX8wPf5gdO5aX97//fS68ML/6VUYjT9rwLyqDX4TywQ9mNMojj+Shh5anyFvTYgfuRz6Sn/40Z5653HV/6FAuvjg/+MFyl86W/XAcZ8XBn3tuptMcOrR8xd2WbWIwyGiUySTnn58DB3L++Tl6NONxHn88l16ar3wlid14LBUHv3NnXvWqPPlk7r472cLBLywG9a9/fQ4cyPp6JpNl5Fdemd2788QTy/15lKsMfmHbtrztbUly8ODyLRNb/GJ3OMxslu3bs39/Lr98+YDtcJjvfz8f+lAefHD5ID3NioMfDHLeeRkMcv/9OXz4xPjLD4v9NvN5rr46e/fmlFOWr+389a9zwQW5/fblGI9arcEvDuZvfWvm89xxR+677x//eUKYTrNnT66/Pqedtrxdd/fdueii3Hjj8vXcJ9Bn5T/QGvzCa1+bnTuza1d27EhywuxHXbyVdzrNhRfmwIHs3Lncdf/II/nYx/Kd72zdG5G8WJVba4+Zz5fvkTkRt6EuDuNra3n66Rw9unyFztGjGQ6zfftmL45N0h18ga3/3ADH0wlyEstzUTv/TPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5O/60D8dzexfIQAAAABJRU5ErkJggg==", "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', [-9.903238231324133, -0.37895994391632515, -36.3954047500144])", "action": "('move', [-9.903238231324133, -0.37895994391632515, -36.3954047500144])", "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": "38eae03117042a14c3b7db6f82cb78579b9368d351ab8f028b374f6c33fd0b20"} +{"episode": 33365, "episode_seed": 3422756871, "split": "train", "timestamp": "2025-09-15T23:19:01.711564", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3422756871, "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', [13.536647764999522, -6.51096766854947, -35.80175534673116])", "action": "('move', [13.536647764999522, -6.51096766854947, -35.80175534673116])", "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', [13.536647764999522, -6.51096766854947, -35.80175534673116])", "action": "('move', [13.536647764999522, -6.51096766854947, -35.80175534673116])", "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', [13.536647764999522, -6.51096766854947, -35.80175534673116])", "action": "('move', [13.536647764999522, -6.51096766854947, -35.80175534673116])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvUlEQVR4nO3cX6hlZR3H4d/ae589o4EI442iKDYQxVx4F4l6GV04jeOAOoHkoGGaMFkiohVlTV6IlOX4pxE1ZhLTQJtQEAIVNK80K4gsvBBx/FOJF5Ocztl7vV3skwah2DjTPme+z3O7b14WfNZ637Xe/XattQIyDOY9AOD/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAczfq++n7eg1hNBM9RazqtwaAGg5pM5j2UVUPwHJ2m0xoO65ln6rnnajSq6XTeA1odBM9RaDKp4bD+8Pt2wQXt3HPriSdqOKzW5j2sVUDwHG2m0xqN6i9/bhdd2B840L3+em3bVo8/vvJTOMFzVJnN5F9/rV1ySf3xT8PxuKrq9NNr06aqqq6b7+jmr2smOhwtWquuq4MH66IL26OPdeNxLS3VJz4+/fWTw5NPXvk13GjeA4DDY/bkWlysK77cHn2sG41qaamddFL/i0cGan+X4DkatFZ9X11X113X9v2sm72WP/HE9tBDw02b1P4ea3jWvNaqtRoOa9euuvXWbt266vs6/vi6667BmWfWdKr291jDs7bNah8M6vbba+fOGgxqebnG47rjjtqxo5aXazQS/HsEz9o2ey1//77+4i+2VsOuqu/r5pvrmmtWdtqp/T8JnjVsMqnRqB57tD//vPbPyXA0qsmkrr++du2a98hWK8GzVvV9DQb1m6fb5ze3v789GI1qMmmXX1533tnNfuK/CZ41aTaTf/65dt6W9sqrs9r7C7a1n+4djsfVmcm/D7dB1p5Z7S++2C7Z0b3y6mA8rsmkfe6zbc89w3Xrqzq1vy9PeNaYf2+ere3b25NPdevX1+Ji+8yn+189OtywoUzmP5hrw1oy+95+8GBdcWU9+VQ3HtfiYn3qk+3+B4YbNqy8lucD2GnHmtJqabmuvLIeeaRGo1paqlNPbT9/cHDaaSv3Aj6Y+yFrQ6vq++oGde21tXdvzb7AnXhi7dvX2Tz74QmeNaC1qr4Gg7rx29Nbb23jdTWd1nHH1e7dddZZNZmo/cMSPGvAtK9uUD/64fQ7N9ZooVtaquGwbrmltm6t5WUz+f+BNTyr3fJyLSzUfff2X726azXo+qrWbrqpXXbZYDKphYV5j29N8VmOVW32EW7/L/svXFT/WBwsjGt5qd1wXfveTQPr9kMgeFavWdJPP93O31p//Vs3HNV00l95edt959D39kMjeFap2bP9hd+287Z2L788ey3ftl/Q37d3OBqp/RC5bKxGs3OmX3qpduzoXn651q+vyaRt3tz23LtyLiWHRvCsOrNzpt98sy69tF74XR1zTC0u1tln1549g48dazvdR2JKz+oyW7e/805t317799fs5NlNm+rhh2vjxpV5PofMrZJVZHZe1fKkvnRpv3//yubZU06pvXtr48bqe7V/VL7Ds7oMBrXzqun9D8z+4l4nnFD79tUZZ/gb3OHhErJazCbz37qhv+2ObmHcTSZ17Pp+z0/aOefUZKL2w8NVZP5aW9kPf8vN0+9+vxsMB9NJdV1/22113tZudnAdh4XgmbNZ7aNR3XtPu/6GQdd1o2G1fvqDW2rHpQNv6Q4vwTNnfV8LC7V/f33t67U86RYWammp/+Y3aufVg9mB8/bPHkY+yzFPs3X7s8/Wtm3ttde64bCm03bVV+rHt3VOlT8SBM/czGp//vnavLkOHKiFhVpebhdfXHff3S0sVHUl9sPOlJ4527Chjjuuqmp5ubZs6Xbv7sbjak3tR4QnPPM0e8i/8UZt2VKjUT34YJ10ku10R5DgmbNZ82+/XW+9VaefrvYjS/DM37tHWTjT4kizhmf+uq5aq75X+xHnCQ9BPOEhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8ASZwa3P8Q81gAAAAASUVORK5CYII=", "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": "b2a6b0b2144c08dcaceb72a9d9d9798e001793299b6bae38785ed17165decfb0"} +{"episode": 33366, "episode_seed": 2632460577, "split": "train", "timestamp": "2025-09-15T23:19:02.319484", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2632460577, "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', [12.840647481195129, -13.849422780561639, 28.6236858799341])", "action": "('move', [12.840647481195129, -13.849422780561639, 28.6236858799341])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4ElEQVR4nO3cS2xUZQPG8efMTCuaWlhIkWJsRGqkkioLsYC6UiQCgmClBoMbSFyU4EKJGmVjYkJ0o8ZLY0xJTKpoqyEsDIFoY7yABSp4CxJqJIBVhITYQDudOedbnEPrhxDBFOby/H8r0s5MTsv8573M2wmiKBIAD6lCXwCAy4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvAlIIoURYW+CJQFgi8BQaAgoHmMAYIvanHk77yj3bsVBArDQl8QShzBF698XmGo9nY9/rgWLNA33yiVUi5X6MtCKQsiZopFKZdTJqOtW3X//ZIUhrr2WnV2au7c5FvAf8AIX6TSaYWhams1a5bCUJmM+vv10EP69FNlMgpDlvT4Lxjhi1cUKQjU369HHlF3tzIZ5XKaOFHvvqv77ku+C1wUgi9q+bzSaZ08qeZmbduWNF9VpY4OLVpE87hoTOmLWjyxHz9eXV1asCBZvQ8MqLlZXV0KAuXzzO1xEQi+2KVSCkNdfbXee09LlyqXU2Wlhoa0YoU6OpRO0zwuAsGXgLj5qipt3KiWFmWzydx+1Sq1t7OHh4tA8KVhpPm2Nj32WPJufDar1la1tSmdlkTz+HcEXzLSaUWRqqv15ptavTqZyZ8+rbVr9eqrHL/FBSH4UhKP81deqbY2rVmjMFQqpaEhrV2rl16SRPP4FwRfYuLmg0CvvKKnnlIYqqJCQaB16/TCC8lpXI7c43wIvvTEzUeRNmzQc89peFiZjNJprV+v9eslKYpoHufGwZtSFTcfBHrxRT3/vNJpBYFyOT35pDZsSA7kcCwHZyH4EhYP40Ggl1/WunWSkrfrWluTbTyO4uEsBF/aRpJ+7TU98YTCMDmKs3q13ngjeYs+xboNZxB8yRtp/u23tXathoYkKQy1cqVef11VVcmBfEAEXx7iD71LpbRxo1pbNTgoSfm8Wlr01luqrk6+CxB8mYh35tNpdXRo1SoNDiqdVi6nBx9Ue7vGj2duD4ngy8lI811devRRDQ6qokLDw1qwQB0dqq6meRB82YlX7Fu2aPlynT6dNH/PPersZJwHB2/KTvwn9IsW6aOPNGGChodVUaHt27VkiU6c4GMw3RF8GYqP4s2fr64uTZqUNN/drQce0OHDymSUzxf6ElEgTOnLVjy3/+ILLV+uo0eTMzm3364PP1RdHWdyTBF8OYs/EmvnTi1bpiNHkvX8rbfq4491ww0074jgy1w8zvf2askSHTqkykpls2po0ObNmjaNMzl2WMOXufik7cyZ2rJFU6cqm1VlpX78UQsX6qefkvfq4YPgy1+8b9/YqM2bdfPNymZVUaH9+7V4sfbuZQ/PC8FbSKWUz2vGDHV1qbEx+RP6Awe0bJl6epJXBNZ2DljDG4lX7H19am7Wnj3JHt7112vTJjU1FfricFkQvJe4+cOH1dysHTuS5idOVGen7r6bffvyR/B24uZ/+00tLfr882Tfvrpa3d2aOZOzt2WO/1s78b795MnatEnz5imblaS5c1VXJ/GpWOWOEd5UPJL//rtWrlQUqbMz+bN5gi9vBO8rbr6/X+PGacIEardA8NZGVuzUboLg3cUffctGnQmCB4zwwg4YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4xkCn0BwFiIouQfQVDQ6yh2BI/SFEVJ5KmUROcXKohGXhqBYhY/Uc8Z9vCwTp/WsWPavl0NDbrrrst8aSWEER7FLQwVRQpDBYEyf3u6/vWXjh1Tf7/27tWOHfr6ax04IEkLF6qpSRUVhbreIkfwKD7xdD1OPU43nU6+Ho/wAwN65hl98on6+kbvlU5r6lRNnqwwLMRFlwaCR/EJAgVBsjg/eVLffqvvv9fu3Zo/Xw8/rDBUKqX9+9XXp0xGM2aosVENDbrpJtXXq75eV1xR6B+geLGGRyHEz7p4xP7nsvz4cfX0aOdO7dqlX3/V0aM6flySli3T++8rnVYQ6LPPdPCgGhs1aZJqa5nDXyCCx+WVz4+O3iOGhpTJJPP2fF4zZujgQQ0Pj95g/HhNn64VK7RqlcaNG53bj8jlJCWPzI79+TGlx6UUL8X/HmFc9dCQTpzQn3/qhx/05Zf66is1N+vpp5XLKZPRlCk6ckR1dbrxRs2ZozlzNGuWqqtHHzZ+tJHNvLP283B+jPAYa//cctOZ2fupU9q5U999p95e7dmjfftG7zVvnrZu1fCwKiq0Y4dOnVJTk666qiA/QRkjeFxK2ax279bUqaqpURDo2DHdead+/nn0BvX1uuUWTZ+uO+7Q4sVnz9VzOWbpY4uJEMbOyDDe26ueHu3apb4+/fKLnn1Wa9Yol9PEiZo2TYODuvde3Xabpk/XlCm67jpVVSWPEIedz0tSKsVEfcwxwmPsxCvwpUu1bZsGBka/3tysDz5IXg7++EO5nK65RpWV/3dHibwvA37FGGs1NcpmVVurujrNmaPZszV7tnRm9K6pSW7GllshMMJj7MRj+L59OnRIs2aNtn3WbWIsywuB4HHJxG+5n/NoDQqE4DHW4jfk2FovSgQPGOEjrgAjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkfzdBBPSB7OYiAAAAAElFTkSuQmCC", "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', [12.840647481195129, -13.849422780561639, 28.6236858799341])", "action": "('move', [12.840647481195129, -13.849422780561639, 28.6236858799341])", "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', [12.840647481195129, -13.849422780561639, 28.6236858799341])", "action": "('move', [12.840647481195129, -13.849422780561639, 28.6236858799341])", "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": "86c2742947514b7a543f9c6a6c88dfdf468918bcf430f6069e7e55aec3666800"} +{"episode": 33367, "episode_seed": 546399671, "split": "train", "timestamp": "2025-09-15T23:19:02.939579", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 546399671, "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', [-0.945200080814342, 4.47350578586991, 9.705260503762304])", "action": "('move', [-0.945200080814342, 4.47350578586991, 9.705260503762304])", "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', [-0.945200080814342, 4.47350578586991, 9.705260503762304])", "action": "('move', [-0.945200080814342, 4.47350578586991, 9.705260503762304])", "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', [-0.945200080814342, 4.47350578586991, 9.705260503762304])", "action": "('move', [-0.945200080814342, 4.47350578586991, 9.705260503762304])", "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": "cd58e019f411057ba4938d1b1bd6b0d7fe56797ed48e1298e8db046cb07d8b7f"} +{"episode": 33368, "episode_seed": 2231136690, "split": "train", "timestamp": "2025-09-15T23:19:03.917594", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2231136690, "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', [6.961891492325374, 0.7068889570361532, 7.869239758515192])", "action": "('move', [6.961891492325374, 0.7068889570361532, 7.869239758515192])", "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', [6.961891492325374, 0.7068889570361532, 7.869239758515192])", "action": "('move', [6.961891492325374, 0.7068889570361532, 7.869239758515192])", "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', [6.961891492325374, 0.7068889570361532, 7.869239758515192])", "action": "('move', [6.961891492325374, 0.7068889570361532, 7.869239758515192])", "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": "12e3acbe73aa63a5ad6a346d2e97eb9a9a464be745ffe5356f5753b3a755b30c"} +{"episode": 33369, "episode_seed": 953950182, "split": "train", "timestamp": "2025-09-15T23:19:04.535899", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 953950182, "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', [-9.596615824433547, -0.597436849912259, -54.615172855800616])", "action": "('move', [-9.596615824433547, -0.597436849912259, -54.615172855800616])", "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', [-9.596615824433547, -0.597436849912259, -54.615172855800616])", "action": "('move', [-9.596615824433547, -0.597436849912259, -54.615172855800616])", "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', [-9.596615824433547, -0.597436849912259, -54.615172855800616])", "action": "('move', [-9.596615824433547, -0.597436849912259, -54.615172855800616])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsUlEQVR4nO3d3atldR3H8e/ae58zZ0RBYS7SKB/uxPQPECGJCsox8xGjB3Jq0lGTMa/04JU4F0maFzo+YOOzjhKSgaSBeJEkphcOhd5oXYiIF4oS45mz916/LvaxKCwdHTsPn9frdt8sDuu9v7/1W2ud3bXWCsgwWO0DAP5/BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBP8Zaq0mk+r71T4O+EDXWlvtY9j4WquuW+2DABP+MzKb6u++W1ddVS++WF1nzrMmCP4zMZvni4vtxhvr3HPr6aerqqylWHWW9IfedFrDYe3aVYuLNRrVZFLHHlsvvFBbtljbs8pM+ENsVvvde9riYj8YVGt1xBHthhtqy5aqUjurzIQ/lGa1P/W7du55/fsHhoOuqtXPb6idO6vvq+sEzyoz4Q+ZWe1/er7//g/6v+8fVKvxuF1+ebvssppM1M6aYMIfGrPaX321tm5tr7zSzc3VeNzOP7e/9/7h/LzaWSsEfwjMtuLeeafOOaeeeabm52t5ub582vSJJ4eHHWajjjXEkv7Tmn1hHjhQO3bUM8/U3FwtL9eJJ7YH9w4PO2zl0h3WCMF/Kq3VdFpdV1df3fburdGoxuM67rh69NHumGOqtRr4A7OWOB8/ldZqNKqbftHfdFPbtKn6vrZsqdtvr5NOMttZi1zDf3KTSY1G9dAD/Q+3tb4f9n2NRrV7d9u2rRuPazQSPGuOCf8JzWr//ZP99u21vDysqr5v1y7227Z1s4/Uzhpkwn8SfV+DQe3b1844o73++mB+vpaX26UXt1tu8wXKmib4gza7zfbGG/XNb7SX9nWjUU0m7exv9Y/8ejgcGuysaSbSwZl9Pb73Xl10UXtpXzc3V5NJO+20dtfdw9FotQ8OPorgD8Jstndd7dxZTz3VLSzUeFynnFL33jM46ijb8qwDgv+4Wlv5JxbXXFN79tSmTbW0VJ8/pnbv7o4/oSYTt9xZB1zDf1yzvfebf9nvvLIbDLrWamGh7r+/zjln5SNY+wT/scy25R99pP/ed2s8HQxHNZ3U7t118cUrH8G64FT9aLMnZJ/9Q9uxo1ueDLquJuP+2mub2ll3TPiPMEv65Zdr69Z67bUazdVk3Lb/qL/t9mGrGg5X+/jgYAj+f5m95f7WW3XWWf1zzw0WFmppqZ397XrgwW7zZu+9sv5Yj/5Xs9l+4ED95MfT557rFhZqaalOPbW75dZu82Y34ViXbC5/uH/ehLtsR/+b33ajuW5pqU44vt12Wx19dDeb/LDumPAfbvbq23XX1V17BoPBYDqpo47s77mnTj6563u1s165hv8Qs4vzO+6oSy+trqvptAatf3hvnXfBwGxnXTPh/9PsP8w+/ni78srq+2qtWqubbu7Ou2Awmaid9U3w/2b2zNzzz9cll3T799f8fE2ntbhYP73CSp6NwJL+X2bb8n/7a515ZvvzX2phoVtaqosuanfe2c1+Q8YzNqx3gl8xu8329tvtrDP7Z/84mJvrxuP6+tfaw3u7I49UOxuE4Ks+eMt9PK4Lz58+9vhgNOomk/rSSe2JJ7ovfNHzs2wcTuSqWnnL/Wc7p489Ppif7yaTOuZz/YMPldrZYJzLK3Zd327ZPRwOu+Xl2rxpet99dfLJ3dRb7mws0U/azW65Tae1Z09dv6sbDGowqLlR/6s93Ve+OphOaxj952EDSp9fXVcHDtTDD9f+/bVpU02n7fpd3YXfGVjJsyFFn9RdV63V4YfXrbfW6afX++/XFVd0O3d2ft2Zjcou/cqDtG++WY88Utu318JCVamdjUnwVR+89z7jLXc2MMGvmHWudjY2wUOQ6E07SCN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIPXd0li5CnezwAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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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": "958566e663ca9622bfddd4eecbffae02ffdae42fc260729ce6c55eb1ffe1891f"} +{"episode": 33370, "episode_seed": 2888866769, "split": "train", "timestamp": "2025-09-15T23:19:05.142848", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2888866769, "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', [2.1440886462551036, 0.725931609233354, 5.724296238626427])", "action": "('move', [2.1440886462551036, 0.725931609233354, 5.724296238626427])", "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', [2.1440886462551036, 0.725931609233354, 5.724296238626427])", "action": "('move', [2.1440886462551036, 0.725931609233354, 5.724296238626427])", "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', [2.1440886462551036, 0.725931609233354, 5.724296238626427])", "action": "('move', [2.1440886462551036, 0.725931609233354, 5.724296238626427])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJs0lEQVR4nO3dXYjcd73H8c/sUzdVKu1FqBG0KAaKAdGAFsUKQbEXkVp61URK1SpKLVIlFqpQigo2iIHgAxilXQmEKrUtWlHRIFQFsXehXtnAFtQigvgQjdl5OBcz5+ScI0e7s5sHz+f1ussO+TMwee/39/vN/CeDyWQSoMPCpX4CwMUjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCiydKmfAEkymWRj4/wfFxezuDjvtcbjDIdbvgr/Pw0mk8mlfg7ARWLCX2KTSQaD/OlPueuu/PGPWVrK3/6W22/Pbbdt/lqjURYX8/3v58iRDAb54Adz880Zj7Ng48aM4C+lae1JPvCBPPLI7Id79mTv3v/x6As1GGQ8zt69edWr8r3v5Q1vmP0Q/pMl/SUzmWQ4zOJi7rsvDz6Y5eWMRrnuujzxRPbsmXcwT4d8kuEwS36b879Z7F0ak0lGoywv56GHcuRIFhYyHmfHjnzxi9mzJ8Ph5msfj3PmzPlTuqWl+FXOPxD8pTGZZGkpP/lJPvGJ2ZwfjXLkSG66KaPRJmfzZJLJJL/9bQ4ezLFj+fOfZz+xmOcfWNJfAtMY19ezb19On57VfuhQDh+eayU+vdydd+ZrX8vOnfnxj3P99efX9vDfmPAX2zTPM2dy8GBOn87KSkaj3HprPvOZ2djfnPE4g0G++c089FAGg7z//XnlK+faElDBhL+opmvtySR33JHjx7O8nI2N7N2b73wn1167+WX49GTvN7/JjTfm2WfzpjflRz/K6qr1PP8Xc+DimR7LLyzk05/O8eNZXMzGRnbuzLFjufbajEabjHR6ub//PR//eJ59NlddlcOHs7q6+QtRRPAXz2SS5eU88kgOH87SUgaDvPjFWVvL61431457PM7KSr71rTz2WJJ89KN585szmdi6809Y0l8k09X3L36R/fvz+99nYSHDYY4ezd13z1v7wkKeeSZve1uefz5veUt+8IOsrNi688/593ExTCZZWMj6eg4cyO9+N6v9wx/OXXdt7Xxt587ccEOuuCKf/3xWV63k+ZdM+Ivkr3/NO9+ZkydnB3U33ZQnnsjKylzXmr5k43EWF3PuXH71q+zencVFwfMvCf7CmkwyHifJhz6UY8eytJThMNdfnx/+MLt2zXua/l9/zWk8m2RJf2FNx/CRI7PaR6O89KU5cSK7ds3eQZ/nikk+9amcPHk+e3hhTPgLaHoa9/jjOXAgw2HG41x5ZdbWcsstW7s35uGH85735OqrZ7fE+VAdL5gJf6FMM/z5z3PnnTl7NuNxRqPcd19uuSUbG3PN9tEoCwv55S/zwAMZDPKa1+QVr3C7O5tiwl8Q0wyfey779+fUqdlB3Xvfm698JUkWFjYf/PRlmkzy7nfnxIlcdVV++tPs2WMbz6YYDhfEYJCzZ3P33Tl1Kisr2djIvn350pdmXzM359Z9MMjDD+fEiSR54AG1MwcTfvtN73j7yEdy9OjsWH737pw8mZe9bGvH8qdPZ9++rK/nHe/IY49ldTXxhTZsjgm/zaZ3s3/hCzl6NMvLGY+za1e+/vUt1J7Mbq+7556sr2fXrnz2s9mxw3hnDoLfTtOvsvj2t3Po0OxNuJWVPPhg3vjGDIdby/PcuayvJ8nHPpbXvnbLl6OUJf22mR7LP/103vWu/PrXs8X8/ffn/vtni/z5C52+Rs89l6eeyv79eclLZh/WhU0S/PaYrq+ffz633pqf/Syrqzl7NrffnrW1Wa3mMZcDwW+P6dvst92WRx/NykrOncuNN+a7382LXrR9e22bdrbMNxlvg+m77vfem0cfnd3P8upXZ21tW2uPRQLbwD5wq6aff/vyl/O5z2VlJeNxrrkmx47luuvm/bQ8XDCC35LpsfyTT+bQoQwGGQ4zmeTw4bz1rc7RuRwJfn7Tt9yfeSb33JMzZ2bj/ZOfzPveN3tI8FxuHNrNabo5/8MfcvPNeeqp2bH8wYM5fvz8o3C5Efw8pj2PRjlwIN/4xuwt9xtuyJNP5uqrE+drXK4s6ecxrf3ee8/X/vKXZ20t11wzexQuT4Kf02iUp59OkuEwV16Zr341u3c7ludyJ/h5TL9h/vHHc8cd2bEjR4/m7W/3/zvxb8Aefk7Tbfxf/pJTp/L61+eKKxzU8W9A8FDEGnSrpt8iC/8WTHgoYsJDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkf8AkkBrHd8d5ykAAAAASUVORK5CYII=", "image_next": "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", "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": "a9dc1d022e5600c56ec5ddaceb419d5015b32854f3beb926dcb6328f87a2b578"} +{"episode": 33371, "episode_seed": 334545800, "split": "train", "timestamp": "2025-09-15T23:19:05.754924", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 334545800, "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', [-1.0039315642695283, -7.679499569012706, 52.32317367754994])", "action": "('move', [-1.0039315642695283, -7.679499569012706, 52.32317367754994])", "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', [-1.0039315642695283, -7.679499569012706, 52.32317367754994])", "action": "('move', [-1.0039315642695283, -7.679499569012706, 52.32317367754994])", "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', [-1.0039315642695283, -7.679499569012706, 52.32317367754994])", "action": "('move', [-1.0039315642695283, -7.679499569012706, 52.32317367754994])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH4ElEQVR4nO3dX+jddR3H8ff3nN9+xaREGeKfiwjaUCS7icACkUGBSeCFggzBWJSFQpuM/XH+YrpFLbepu1E0l4FEq7xo/YG6mYVeJF2ZkmC73FS8cMyg7ff7ne+ni9/xzFFEk+33x9fjcXk4F9+b5/fz/fz5ntO11grIMFjqCwAWj+AhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyNRSXwBceKNRVdVgUF231JeyzAiej5TWqu9rOFzq61iuPNLzEdFaVVXX1XBYhw7VfffVyZNnP2eBEZ4Vr7VqrQaDqqpjx2rH1tFvfj88fbquu67uvdeAf46uuQGyko1G455Pnaqnn2579tTJk92qVTU3V1dcUS++WGvXVt+PbwcY4VmpWqv5+Vq1qqrqj39oMw+2l/9a1Q0Wav/kJ9ott3SXXLLUV7nMGOFZkfq+uq66rl57rQ4ebE891arGqVf169d3929qt35tUFWtWas/S/CsMJMZ+/x8Pf5Ye/LJ+sexbjCsQVfz83X1lW3b9rr7692ll9bcXE1Nqf0cgmfFmKzDV9XRozUzUy+9VFU1Gdi/sbG2buvWreuqan6+pkxY/4PgWRkmAb/9Ztv1UD370+706Zqaqvn5qmqf+2x7ZP9g/foaDqsfVXVW6f47wbPc9X31fU1N1Xun2q+e73buGL359nBhAt/3dc01dc89bdu2bnp6/GWp/w+CZ1mbDOwvvND272u//V1X1U1/rGbPVNfVnXfW9u11ww1VFuf+P4JnmZoszp04UY/sHT1zaPDeP7vp6Zqdq2rtC59vW7Z2d9xhun5+BM+y88Gx+pkf9/v2d6+/XlXdYFB9Xx+fHj04M9y4sV11ddf31ZqDdOdB8CwjH3z15ZVXasuWOnp0fLpmbq4Gg3brV9sPfthdf/14YB8OPcafH8GzXEwOyb71VnviiW7v3jpzpobDhXdd27XXtpmdteGu8VmayeF5zoupD0tvckh21Nfzv2x79tTfXq2uG++6rVlTd9/VPzAzvPzys1vxBvYPxwjPEptspL38l/7RA93Pf1FV3fR0zc5WVd12W23eXDfddM43+dAEz5KZLM6d/lft+X7/7E+64ydqONVVq9GoffpTbdfDg9tvr9Wra36uhg7JXgiCZwlMXn2pqiNHauf2/tW/D6rGz/DDYW36btuypa68yq7bBSZ4FlVrNRqNA37jjXroe/3PDnetjd9g76q+9MXRj/YNbryxq3PvC1wQgmfxTLbN33mnnnuudu+ud9+tqaka9dX6Wreu/863a9Pm8TTdybmLQfAsksmu25Ff9wcODP7056r3n+Gnhv03v9Xdv7n7zFqj+sUleBbDwnB97FjtfrgdPlynz3Tvv+hWN99cD+zov/yVQVXNzY1/wYaLRPBcXAupz83Vwcf7Rx+r48e7qvGMfc2a2rWrNmyoyy6rvq8qu24XneBZJKdO1exsrV49Pie3MJlfvbqqajTypxGLRPAsMYtzi8kjFEtM7YtJ8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDk36o1x1LK3e05AAAAAElFTkSuQmCC", "image_next": "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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": "6f0eab10e9d919d9f687b9f7fa527d6e26a8534d576413589dd88eb8c8682a4a"} +{"episode": 33372, "episode_seed": 1719297779, "split": "train", "timestamp": "2025-09-15T23:19:06.698798", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1719297779, "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', [-8.096806909885075, 29.50007485155129, 48.650361269646204])", "action": "('move', [-8.096806909885075, 29.50007485155129, 48.650361269646204])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAII0lEQVR4nO3dT29UdRvH4Xs6M1UKxNQqCdIU6x82miDu2bs3bl0SX4K+AV+AWxKXJq6JC1fuNW4MIRpNaQW6saQu2mhoZ46LOU5bIFKbJ/Y5872uEDL072nCZ36/c5/D0GuapoAMc6d9AMB/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZHDaBwDd0TQHD3q96vVO9WhOotdMfwbgSaNRm3e/f9qH8j8geKhqmiO/5uaenveff9bOTu3u1sOHtbhYq6vtc0F32NKTqmna1btpajisuafNs8bj+v772tys336r9fXa2KiNjXrwoNbW6oMP6ssv201+d5oXPAEmWU7ani7dvV4NDv39v3+/Hjyoe/dqc7OuX69r12o8rqapDz+sH398ytfs9+uPP2phoTq1RxY8M+GfV9rJ26fvHY9rbq42N+vWrfrpp1pfr62teviwtrdra6v29urjj+vatRqNajhsnyDeeqsuX67V1VpdrcuXa3GxVlZqfv6fvun/JcHTTU1T43FVVa9Xc3NPr26yaf/99/rll/r551pbq9u367PP6uLFqqq7d+uTT2p7+8inzM3V+fP13HPtV66qW7eqaercuTpzphYWuj66Ezzd9NjYfGenmqbOnm1Pxb/7rm7erHv36s6d2tys/f2Dj/zoozb4V16pq1fr/v16++167bV68816/fW6cqUuXmy3+pPfV1ePfN/Hnmi6RvB0zWQwvr1dP/xQu7v166+1sVF37tTLL9enn9aFC1VVd+/WzZsHn/Lii7W0VEtLtbhYZ860b1xZqa++qoWFZ3+7wzp+fU7wdM14XP1+ffttvffekbcPh3XjRhv8O+/U++/XykpduFDLy7W8XJcu1aVLR/Lu92thoZ3MHT7Jf+zsoFOn6M8keLppcpq9tNRO0VZW6sqVevXV9r1vvFFffNEO1Q7b26t+/2ArPrnknsSNN3TNZEHe2am1tVpYqPPn6+zZOnfuKR+5v1/jcXsP7GSwN1vL9QkInlkxbXuia/fA/TcET2dNp+UT8j4GwUOQrIkFhBM8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBmc9gFAZzRNNU1VVa9Xvd5pH82J9JrJTwAEsMLDs43HNTdXt2/X+no9elQvvFDXr9f8fDVNx5Z6Kzw826NHNT9fN27U559XVV29Wl9/XS+91D4RdIgVHo6r16vRqKrq0aPa2zvtozmRTj07wSmZ7Nvn59s/Nk1bfucIHo5r8PeGeDyu/f1TPZSTEjwcV7/fPhiPrfAw64bD9sE0+M6NvAUPx3U4eEM7mHHT4EcjW3qYXZMp/eGhneBhxvX7bfmCh9k3HB4E77IczDjBQ5DBoA1+NGqDd1kOZtZw2P5TmfG4xuPTPpoTETwc1+GhnS09zKxJ59Nz+OmWvnMED8c1PYd3WQ5mnyk9BDkcvBUeZly/fzCld1kOZtyT1+E7R/BwXLb0EGQafNNY4WF2TTqf3nhTZYWHWTcYHLwKvRUeZtx0S19WeJh5h4N3WQ5m3JPBd47g4bgM7SDC9EUsDe0ghaEdBHEOD0Gs8BDE0A6CPDm0m/bfFYKHY2maI1v6yavWCh5m0PSynKEdRJjcRfvYObwVHmbZkyt8t26nFzwcixUe4vT77QPBw+wbDtsHhnYw+6bBj0bVNFZ4mGmDQftgNOrkfyA7ePaHAH97/vkjr04/PaXvCsHDv7C72569b2118nb6XtOty4hwSiZn7N98U1tbNRjU8nK9+273VnjBQxBbevgXDq+PnRvRl+DhX+li5Ie5LAdBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gJIg7b4dh2MewAAAABJRU5ErkJggg==", "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', [-8.096806909885075, 29.50007485155129, 48.650361269646204])", "action": "('move', [-8.096806909885075, 29.50007485155129, 48.650361269646204])", "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', [-8.096806909885075, 29.50007485155129, 48.650361269646204])", "action": "('move', [-8.096806909885075, 29.50007485155129, 48.650361269646204])", "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": "159776dd141e167fb20defa1bf87ce0f58f6484941eb8fcc405f94a9caca7254"} +{"episode": 33373, "episode_seed": 1229619002, "split": "train", "timestamp": "2025-09-15T23:19:07.308284", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1229619002, "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', [-19.30983983165572, 82.5011836524415, -29.85870077378333])", "action": "('move', [-19.30983983165572, 82.5011836524415, -29.85870077378333])", "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', [-19.30983983165572, 82.5011836524415, -29.85870077378333])", "action": "('move', [-19.30983983165572, 82.5011836524415, -29.85870077378333])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKD0lEQVR4nO3dTajldR3H8c95uNeZwWZhmBU2k6IpBjFktWpjK6HrwxSozBAuXIxpqIgomC6CNB9W4jhhhHiVhrQQ0xaKCyNQaBiNno1EGB3yqUWi4Mx5+rc4/3QyrdEmzzn3+3pxF/dc7uJ34b7v7/f/nd//fztN0wSooTvrAQAfHsFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FDIHwTfNrEcAVfRnPYCk03n786bJZJJOp/0AjqiZzvCjUW67LXv2ZDhs5/lOJ71eut10OhkOMxxmPLYEgCOl08wwp/E4/X5OPDF79uSYY9I0efHFPPdcNm/OJz+Z/iGrj+Ew/b45H/5HM13Sd7vZsiVbtuSjH81olH4/u3bllluyZUs+85mcckr7ceqpWbcuSZomnY5lP3xgMw2+08kDD7QN93pJ8pe/ZDTK3r3Zu7f9hk9/Ops25bOfzfXX5+Mfb5uffjPwPs10Sf/v9u/Pvn359a+zd29+9as880z79RNOyC9/meOPT5I9e3LXXTnzzHz+89m0aYaDhYUz6+AnkyTp/tve4WSSwSAvv5ynn84jj+Tkk3P55VlaSpLrrssNN6TbzfJyTjghX/hCVlaydWuWltr5H3gPsw7+HZomTfMu/b9lMsltt2X37rz8cvbvbzfwV1bywAPtJp/g4b3NWfDvcOjYDi15NMpvf5vf/z5//nN+97t89avZsaPd9gPe23wH/67G4/aN+qnBIKNRNmyY6ZhgMSxg8PnngbzJJE2T5eVZjwYWxmIGf6i3jugB/83iX/RKHQ7bHNwtB3xYBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhZQLvmlmPQKYnXLBdzqzHgHMTpXgpxP7gQN56aW3X0I1JYJvmnQ6OXgw556bc87J/v3pdDKZzHpY8KFb+8FPa3/zzVx0UR59NHv2ZGUlzzyTbtc8TzlrPPjJJJNJBoNcdVV+9KP0++l28/zzefHFxMKeetZy8NOee7185zvZtSvLy2mafOQjueeenHFGmibdtfzTw7tYs7/y09q73dx6a265JcvLGQ7T62XnzqysZDSa9fhgFjrNGl3XTibpdnPnnbn00vZl0+SOO3LJJRmP0+16f46K1uYMPxql283u3bn44ozH7RdvvDGXXJIkvZ7aKWoNzvCjUfr9PPRQzjsvg0H6/QyHueaa3HRTu85XO2WtteDH4/R6efzxfP3ree21dDoZj7NjR3buTKdjJU91ayr4ae1PPplzz82rr6bXy3icCy7ID3+Ydeva4KGytRP8tPbf/CZnn53nn8/SUobDrKzk/vuzfn27hwfFrZHgp7U/+2zOPjt/+lOWlzMY5Iwz8tBDOfpotUNrLQQ/7fmvf81ZZ+Xpp9PvZzTKl76Un/88xx7bHq0FsgbelpvW/tJL2b797do/97n85Cdqh3da7OCnR2j+/vd885v5xS9y1FEZjXLKKbnvvmzalMlE7fAvFjj4pkmvlwMHcsUVefDBrFuXgwfzqU/l3ntz6qnt2RvgUAvcRKeTpsnVV2d1NcvLOXAgxxyT1dV88YsZj9Pvz3p8MH8WNfjp4yuuvTa3355eL4NBNm7M6mp7G1yvN+vxwVxayOCnl+7f+15uuim9XpomGzZk166srNilg/9kwYJvmkwm6fVyxx359reztNQWfvPN2b49w6Ha4T9ZsCvdae13350rr0y3m9EoTZPvfjff+laGQ9ft8F8s0sGb6W1wP/1ptm1rn2YxHre3wbnFHQ7HwgQ/rf2RR3LeeXn99fbw7KWXZufOJC7d4bAsRvDT43RPPJGvfS2vvNIep/vGN7K6mri/HQ7bAgQ/rf2pp7J1a154oa39nHOye3fWr08ED4dt3nfppwfm/vjHXHhhXnghy8sZjXLmmbnnnmzYYCUP789cBz89MLdvXy66KH/4Q9avz2CQL385q6vZuLHdqAMO3/wu6acr+b/9Ldu25bHHctRROXgwW7bkwQezeXN7Azzwvsxp8NO1+htvZNu2PPxw+/iak07Kz36W007zQAv4gOaxm+mfoMEgO3bk4Yfbx85u3pwf/zinneY/xsAHN3fpTOf2TieXXZbdu9tb3I87LnfdldNPz2hklw4+uPkK/q1d96uvzp13Znk5Bw9m48Z8//v5ylccnoX/1XwFNH1GzQ035NZb0+9nMMjSUm6/PVu3ZjTK0tKsxwcLbo427abT+w9+kB070u+3V/I7d+bii+3SwZExRxlNF/Mf+1iOPz6jUcbj3Hij2uFImqMZPv+c5J94Itu35/zzc/PN7T0zwBExd8FP33Xbty+f+ESWluzJw5E0X8FPvbWGd1Qejqx5DD7xf53h/2JOr4+lDv8Ptr+hEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8g9c6H/lJuKcNAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [-19.30983983165572, 82.5011836524415, -29.85870077378333])", "action": "('move', [-19.30983983165572, 82.5011836524415, -29.85870077378333])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGPUlEQVR4nO3aT28c5QHA4XfsWElzScwBkFLcfwRUSqUIWYK2h15Qvgm39oNw4gNxRUQcgqIkJUqQo14QskSLkOqgGO9OD7bsJErbtEjZOr/n0Rx2Z3ZW7x5+M7PvzDTP8wAa1lY9AOD5ETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUPImVUP4MQ8H72YppWOA15cqzzDL5djd3csFkdvp+loGWMsFmOxGMvlyVEA+PGmeXVJ7e+PlzbnrUuLP/zxzLvvju3t8cor48KFcf78yWfmeRwcHB0I1tac/OFHWXHwFy+O778/WXPp0ry9PW1vj7d/M7/22rj00+nVV0+2Lpfj4OAoe/HD/2CVwT98OM6dO3q9sTGmaezvH29cXrww3v7t2ltvjTcuL998Y7z567XLl0/2neexWCgf/jurDH65HB9+OK5fHzdujJ2dk/VnzoxpGj/8cLxiPv+TsfWzaWtrvP76uHJlXLky3nlnrK+vYMxwqq0y+EMPHoxvvx3ffDNu3hzXro1rnyxu/2U6WP7L2cSNjbF5cWy+NH7184P3fr/+3u+m7e2xufk8hwyn1YqDn+fHLsjneezvj+++GzdujE8/Hdc+Wdz+YvrH3tqDB+Pg4OnfsLExzp6df/mL8ac/Tx988HxGDafViu/DT9PRjbfD8qdpnD07Xn55XL06rl4dY6wvFuPzz8f16+Ozz8bdu2N3d+zujr29eYyj48RiOR4+nG7eGl99tcLfAafD6i/pn+r4KLD2+KX9vXvj1q359s3llztrOzvTl/fmv/19Pnya4OOPx/vvj+XyyV2AY/+nwT/q8PGbw5Ifnaj7+utx//781/vznbtrd+6Mjz4aW1uCh3/nFAR/bJ6Pyl8ux/r6Y/Hv7Y1z58zbw39wmoJ/1GH8h8v6ulvx8ExOa/BPeGK2H3iqF+T/rtrhWbwgwQPPQvAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQ8k/lHerpsYYOgAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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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": "8d86d246da58122887eecc549c8b35b6002323eb436ccc4cce6d5ee5856710f4"} +{"episode": 33374, "episode_seed": 4129928456, "split": "train", "timestamp": "2025-09-15T23:19:07.915748", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4129928456, "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', [3.9273442708263673, 1.4152758192742663, -51.9420726993859])", "action": "('move', [3.9273442708263673, 1.4152758192742663, -51.9420726993859])", "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', [3.9273442708263673, 1.4152758192742663, -51.9420726993859])", "action": "('move', [3.9273442708263673, 1.4152758192742663, -51.9420726993859])", "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', [3.9273442708263673, 1.4152758192742663, -51.9420726993859])", "action": "('move', [3.9273442708263673, 1.4152758192742663, -51.9420726993859])", "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": "5aa0faf2a1ebb9be2cf4145543d44430c2cab8cbec7938c0b5eae7303284cca1"} +{"episode": 33375, "episode_seed": 3724841558, "split": "train", "timestamp": "2025-09-15T23:19:08.857112", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3724841558, "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', [4.784314388555168, -3.8288468897428696, 47.45118522311782])", "action": "('move', [4.784314388555168, -3.8288468897428696, 47.45118522311782])", "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', [4.784314388555168, -3.8288468897428696, 47.45118522311782])", "action": "('move', [4.784314388555168, -3.8288468897428696, 47.45118522311782])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFUlEQVR4nO3dX2hX9R/H8dc53++mpZlEmrKhWMtEUgnn1j8QdBm6ssILu4lIKBC86d+IJLzJ8MII6sIgCW+TIKEudKQxoz86XdoyncEwWJqSq2Vmbt9zzu/iHPWnP41fc9/v+bbX83Eh+G8ex57f99nnnO/nBEmSCICHMO8DAFA5BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4K9LkihJ8j4I4P9G8MOXJAoCBYEGB7OfAlWO4IcvCBRF+vxzLVqk9nYFAc2j2gUJX6TD9ddfevVVvfWWJDU1qaNDY8YoCPI+LODamPDDkX7rHkU6flySamq0d682b2bIo9ox4YcpjhWG6unRkiXq65OkqVP19deqr8++tweqEBN+mMJQpZJmztRzzymOVSjop5+0fr0klUp5HxxwDQQ/fGEoSc8+q8ZGDQ0pDLV1qzo6VFOjKMr74ICrIfjhC0NFkSZP1gsvqFhUGKq/Xxs36uxZSYrjvI8P+B8Ef12KRcWxnnxSLS0qlVQoqL1dH3+sQiHvIwOuhkW765V+/g4c0L33KooURZozRzt3atKkbGEPqB58PV6vdEH+nnu0erWiSDU16u7W++9f+i2gejDhR0D6KTx5Uo2NOn5cQaBx43TggGbMkMge1YQJPwLSpKdM0bp1ShIVCjpzRq+9xn04qDpM+JGRfhYHBvT44+royBbttm9XS4uiiDU8VAsm/MgIAsWxJk7Uyy9rwgRJiiKtW6dz55jzqCIEP2LSe+8eekiPPJKt3u3Zo82bs18HqgHBj5j0vfG1tWpr09Sp2SW6TZvU26uaGu7DQVUg+JFUKKhU0rx5WrVKcaxiUYcP6913FUXsjYOqwKLdyEsSnTmj+fPV26sg0MSJ2r5djY3ch4P88QVYFhMmaP367DT+9Gm98YZKJYUhQx45Y8KXRbo9Rmur2ttVLCqKtG2bli/P+7Bgj+DLIj1737NHDz6oOFaS6K679M037IGFnHFKXxbptffmZq1Zk22PceSINm7MLtcDeWHCl0t6g90PP2jJEh07pjDUrbfqq680Y0b2EgBUHhO+XNJLdHfeqTVrVCxK0qlTev317HI9L7PIBRO+jNKlu7NntXix9u9XsaixY/XRR2pp0dCQamryPj74YcKXURAoDHXzzVq7VrW1imP98YfefFMDA9lWOUCFEXx5haHiWE88odZWxbFqarR9u7ZtY60e+eCUvuzSbeqPHtX8+Tp3TnGsmTPV0aFJk7Lv54GKYcKXXbpEN3OmXnpJUaRiUT09evttbrNFDpjwlZB+jk+d0qJFOnxYYagxY9TZqdmzeUwNKoopUwnp/TaTJ6utLSv8zz/1yisS29ejsgi+QtIT+BUrtHRp9kaa9nZ9+KEKBR5Tg8oh+ApJHyY/frxefFE33qgg0Pnz2rBBAwMScx6VQvCVk75tbvFirVypKFIYqqtL772nQoEb71AhLNpVVDrJ+/q0YIF++UVJoro6ffaZGhrY3BaVwISvqDBUEGjaND3/fPYWmr4+vfNONvB57UW5MeFzEMcaGlJjo777TsWikkRffKHmZi7RoeyY8DlIr8Nv2KBCIVvMW7uWraxRCQSfg3QH25YWrVihoSEVCtq5U1u38rZZlB2n9PlI98Dav19Ll6q/X5Lq6rR7t6ZP58QeZcSEz0f6OJp58/TMM9kjK+rrL4x3XoFRNkz43KRD/tgxrVqlpUu1erXGj5d0Yd+M9M30zHqMKILP39+dw6dLeekWWcB14yspf2ntSRQHhVC7dmnfPs2dq/p6TZuWPYn2ovSZVeniPvDPMeGrQ7pwH0V66il98IEk3X67Zs1SQ4OWLNGyZVcWfvHme/bQwD/BhK8aYajz53X33eru1vffq7dXvb2SFMdqbVWSKI7V3q7+fi1cqPr6v/tQLPTjGpjw1SRJNDiogQH9+qu6u9XZqU8/VVubVq6UpNOntWyZOjs1ZYomT9aCBWpu1n33qaFBtbVXFp6+5zad/8SPCwi+ul28yT4M1denxx5Tb69+++3SHwgC3XabVq3KtrxPEg0NKQwvW+cbGpKkMOTdOeCUvsr89+tvEGSJpiO6vl579+rgQXV1ad8+9fSor08nTujnn9Xfn+2qE4batElHjmSn/XV1qqtTbe3V/xUmvx8m/L/KFd+cHz2qI0e0d68efVRNTZL0++964AEdOiRJtbWaPVuzZmWLf3PmaO7cyz5aqXTpnJ/4PRD8v0q6mB/HimMVi5dtfJu+FgwMaMsW7dqlgwf144+X/d3WVn3yiUolFYs6cUJjxuiWWyp8+Mgdwf9rpeWnP14R/5kz6u/XyZPq6lJnp/bs0aFDevppbdmiwUHV1mr1au3YoenT1dSk5mY1N6uuLr//CSqH4Ee7JNH58zp5Mtt5I91YZ/58dXVd+jNjx+qOO9TUpIcf1vLluuEGLuyNVgQ/GqVn/tI1H3axe7e+/FJdXert1YkTOn48+/X779eOHRo3LrsugFGH4D1ca2IPDqq7W93d6unRt99q4UK1tbG93ihG8JbSZb8kueyZ1efOqVTSTTdxPj+KEby3i2v+SXKVy/UYdQgeF3A3jgHutMMFpG6AlVjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4DZQ/3Wn6MjysAAAAASUVORK5CYII=", "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', [4.784314388555168, -3.8288468897428696, 47.45118522311782])", "action": "('move', [4.784314388555168, -3.8288468897428696, 47.45118522311782])", "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": "54cc39cd28379f3d9e28b5a98cf8995a8928d800acab7034a2d3cc234cf3a923"} +{"episode": 33376, "episode_seed": 2695218492, "split": "train", "timestamp": "2025-09-15T23:19:09.472919", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2695218492, "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', [-0.06890701898240305, -7.1078944252738046, 35.98219722029639])", "action": "('move', [-0.06890701898240305, -7.1078944252738046, 35.98219722029639])", "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', [-0.06890701898240305, -7.1078944252738046, 35.98219722029639])", "action": "('move', [-0.06890701898240305, -7.1078944252738046, 35.98219722029639])", "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', [-0.06890701898240305, -7.1078944252738046, 35.98219722029639])", "action": "('move', [-0.06890701898240305, -7.1078944252738046, 35.98219722029639])", "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": "346ba24188e0ba67fa8842139a9f1fd2fd6da15b2679ac3f3402dda85fb0a719"} +{"episode": 33377, "episode_seed": 1045170821, "split": "train", "timestamp": "2025-09-15T23:19:10.082139", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1045170821, "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', [2.4700461628277752, 4.324188451529024, 18.973231137491666])", "action": "('move', [2.4700461628277752, 4.324188451529024, 18.973231137491666])", "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', [2.4700461628277752, 4.324188451529024, 18.973231137491666])", "action": "('move', [2.4700461628277752, 4.324188451529024, 18.973231137491666])", "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', [2.4700461628277752, 4.324188451529024, 18.973231137491666])", "action": "('move', [2.4700461628277752, 4.324188451529024, 18.973231137491666])", "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": "a629a321fe5827f7d2cb77f24ee57f28d30440a2ee5ee3e835b8cb4b8e10d2ad"} +{"episode": 33378, "episode_seed": 2451713025, "split": "train", "timestamp": "2025-09-15T23:19:10.693427", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2451713025, "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', [-4.741209956974706, -0.8990936077004389, 27.87219656140934])", "action": "('move', [-4.741209956974706, -0.8990936077004389, 27.87219656140934])", "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', [-4.741209956974706, -0.8990936077004389, 27.87219656140934])", "action": "('move', [-4.741209956974706, -0.8990936077004389, 27.87219656140934])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALG0lEQVR4nO3dX2hW9QPH8c95/rS1EiMDzWVi0B8bSkiu2XBJkalBsqKC8qIIClIv7KJIvAj0pozIIhEiKoiuhNIkE3cRDpJpms20FUUqVuwZtUkt3facc7o4R8kf+MvQ5xz3fN6vu52rw+F57/s9/74niONYADwU8t4BANkheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASOlvHcA7sJQcaxCQQVGn9oL4jjOex8AZIQRHrkJQxWLeuEF/f67HnlE7e1qalIcKwjy3rP6xQiPfCS/u5MnNXOmjh1TQ4Mef1zvvKMoUhDQfK1w2oR8RJEkff65BgcVBBoZ0YwZklStUnsNETzyEYYKAnV16Y8/FMeaPFl33y1JxWLee1bXCB45iGOVShoe1v796Zbrr9ecOYoirtXXFkcXOQhDFQrq7VVfX7rljjvU2JiewKN2uEqPHCRX7PbsUX+/gkCNjVqyJL0bj5oieGQtjlUuq1rV3r3pn5MmacECxvYs8B8VWUuG9x9+UHd3uqW9XZdfznw+CwSPrCXB9/Xp2DGVSpK0dKkkas8CwSNTcaxiUWGoXbsUBIpjNTSkN+QIPgMEjxwMDWnHDsWxwlAdHbrmmrx3yAbBIwc//aTDh1UuS9LSpTxskx2CR6aSafyOHZIUx7rsMs2fL51+0ha1RvDIWhBoyxZJqlY1Z46uuy7diAwQPLKTXJ8/elQHDqTT+Hvu0VVX8Upsdgge2YljxbG2b9fYWBp/W5sKBYVh3ntmg+CRnWQk37pVkqJILS1qaZHEE7XZ4UgjI1GkYlGDg/r663RLa6tmzOABu0wRPDKSzOF37NBvv0lSsajbb5dY8SJbBI+MJDfedu7UyIgkTZ2q9naJFS+yRfDIQrLixYkT6u1Nt9x4o1pa0nUskRmCRxaSBa327NGPP0pSEGjePJVKPG+TNYJHFpIT+C++0OCgJE2YoMWLJa7PZ47jjZpLVrw4eVL79qVbrr1Wra3pm3PIEsGj5pJ5e1+fenrSLfPnq1xmPp+Deg8+ebYLl4CDB1WpnLXiBfP57NX7IT/zEROyz0kybx8d1a5dkhRFmjhRd90l8cJMHuo9+NFRffyxjh9XEDCDzNHAgLq60ndj771XEybkvUOu6jr4sTE995w6O7VmjUZHFUWM83n57jsdPapyWXGsBx7Ie2+M1W/wcawoSt/Dev99rV+vUolT+uydWfEiCBSGamrSvHkS51g5qd/gg0ANDXrzTT34oCStW6fNm7lMlItqVdu2pSvYzZunKVPy3iFjdR1AFKlU0saNamvTqVNavlz79qUjDjKRHOnvv9e336bX5++7T1dcwYoXuanr4JOlFSZP1htvaNo0VSp68klVKlzAy1Icp8N78jh9ayuHP091HbykYlHVqubO1YYNamzUwYN67LH0A8WM85kIAn3yiSSFoebM0c03pxuRi3oPXkpf0ejs1Nq1ktTSopERTuYzkMzbjx/X4cNp4W1tmjKFb0LnyeNjksncftUqzZypJUvS03hGmRpLlrj59NN0RlUqae5c6fS3opELmwNfLKpY1P33p50n94jE3aEaOrPiRbUqSTfcoNZWiRUvcmUTvKQ4VrWqKNLoqD77TG1t+uYbriDVSBSpXFalokOH0i233qqbbkpfjEdenIIPAhUKCgINDGjFCn35pZ54QgMDKhRo/qILQ8Wxurt17JgkFYvp8zYsWZkvp+CltO3mZr30kspl7dunZ5/V8LCiiOYvuiDQ7t0aHpakq6/WwoUS8/m8mQUvqVhUFGnZMq1ZI0kffaSXX04fCuF8/iJJ5vNDQ9q/P90ybZpmzeJyXf4sD38yzq9erWXLFIZav14ffMAv8SJKZkuHDumrr9ItCxaoWOQ/av5cf+VBoFJJr7+u9nadOqUVK7Rzp8Qgf9HEsXbv1tCQGhpULqcrXjCfz51x8GGoSZO0aZOmT9eJE3rlFY2NcUHpwiW33MNQP/+spiaNjOjKK3XnnRIP2F0Cgth5TEtWRd+2TW+/rXXrNGtW+sgt0/uLob9f3d3q6tL06Xrxxbz3BpLcg9fp1+b/Z67Jc3ioU/ZDWRCk1+2TB+8qlXQpJnE+f6GSB53OfBkalwL74HU67GJR/f16+GF1dmrzZkl8tfwCJRdGy+W89wP/QPD/WNl2bEyViv78UytXau/e9NITLhinR5cO+3P4M5Lz9t5eLVqkX3/Vbbdp+3ZWY0KdYYQ/LXmLZvZsvfWWJk7UgQN65hmNjLDWLeoJwf9DEGhsTJ2dev55lUraulWrV6e36GgedYEp/dmSu3RRpKef1nvvSdJrr2nVKlWr6fP2wHjGCH+25BXaclmbNqmjQw0N+usvSbxCi/rACH9uR46op0ePPpqexif/C4DxjOD/TbJiQ3JnieUXMc7x8z235EmxpPaNG/XUU9SO8Y4LUed2ZrnLLVu0cqWiSFOnau3a9JUbYBxiyPq/ksfsFy7UQw9J0quv6t13049bAOMQ5/D/JrlcNzSkRYvU06PmZn34oTo6OJ/HeETw5yFpvq9PixfryBG1tqqrSxMm0DzGHX6v5yH5Us0tt2jDBs2ereXLVSjwzjzGI0b485bcn/vlFzU3SyySgXGJ4P87ZvIYt/jh/kfUjvGMER4wwmAFGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMjfV2vKWwlXZD0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [-4.741209956974706, -0.8990936077004389, 27.87219656140934])", "action": "('move', [-4.741209956974706, -0.8990936077004389, 27.87219656140934])", "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": "78d6ac859a2d9c0b810b74df8bc0f4ca9cbcedaad982947a56cedc16262304e6"} +{"episode": 33379, "episode_seed": 2812629948, "split": "train", "timestamp": "2025-09-15T23:19:11.640841", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2812629948, "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', [-15.500240708553102, 7.380719738838629, 38.161714096750494])", "action": "('move', [-15.500240708553102, 7.380719738838629, 38.161714096750494])", "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', [-15.500240708553102, 7.380719738838629, 38.161714096750494])", "action": "('move', [-15.500240708553102, 7.380719738838629, 38.161714096750494])", "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', [-15.500240708553102, 7.380719738838629, 38.161714096750494])", "action": "('move', [-15.500240708553102, 7.380719738838629, 38.161714096750494])", "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": "9fc49a37c0abaeabddcab5bc84af7141004f9e9bbb91d8ad443e7cf65e367e4c"} +{"episode": 33380, "episode_seed": 3116500529, "split": "train", "timestamp": "2025-09-15T23:19:12.253079", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3116500529, "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', [1.5031957644722136, 1.0741869497264955, -4.9778348959322996])", "action": "('move', [1.5031957644722136, 1.0741869497264955, -4.9778348959322996])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKR0lEQVR4nO3dza9cdR3H8c+ZmSqkUpESqUWBYmKhRU16AfW6ceHGxJUmJCaK6cI0aEyMGxesTVy4hQSjSROjBhJY+QdgVJ5KMDwUBYu1hoCFBEihoL135rg4R0qE9j4Q7/TM9/VazZzNPcmc9/39zplzftO0bRughtG8dwDYOoKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgl90bZuVlXz96zl8OK+9lrZN2857n5gbwS+01dU0TX72s9x3Xw4ezKOPpmkym817t5ibybx3gP+btk3T5OWXc9ddaZp85Sv58pczm2U8nveeMTdG+MU1nWY8zuHD+ctfMh7n9tvnvUPMn+AXVFf78eP55S+zspKvfS3Ly0ky8omX5uNfXE2Te+7JU0/lAx/oh3eX68oT/CLqTtSPHs3Pf562zXe+k/371U4Ev5iaJkmeeSbHjuXii3PoUMbj/hoetTWtf/yLp/tMX3st996bySTf/GYmE8ETwUMppvSL6MyZ/sV06tSddzLCL5bu27jvfjc7duTQoezZYybPO7nTboGsrmYyye9/n1/9KqdO5ZJLcvvtmU4z8SnTM6VfFN1IfuZM7rgjp07lk5/MbbclcSMt7yT4RdFN5u+/P7/9bZL84Ae57DLzef6H4BdC22Y8zptv5q67cvp09u/PrbeqnXcT/ELo2v7DH3LffRmN8qMfZceOee8TFyKXcxbCaJRTp/KTn2Qyyec/n69+dd47xAXKCD983RerJ0/myJGsruZ738tHPpLZzHyed/M9/EJo25w5kyNH8sQTueWW7NyZtvUkLO8m+EXhEh3r4Bx+4GazrKykbXPRRf00Xvacm1nfkE2nGY1yxx05eDD3328Oz5qM8IM1naZp8sIL+cUv8vTTef31fOlLJvacnzHhfZnbBZDuD49G/RqVF1+cH/+43wLn5vh4X7rRdA4PoXaLWD33XA4fzmyWb3wjn/3s1u4BgyT4zWvb/PvfSTIeb/k8uhvJf/3r/PWv2b49P/xhEr8wwZqcw2/G2z/x8P3vZ9++LC1laSm7dm1V9t2fP3Eid96ZJIcO5brrnL2zHoLfvGPHcs89/eu7784tt2Q225KT6KZJ2+anP81LL2XXrhw8mPG4f1oOzkvwm9ENpQ8/nPE427ZlNMoNN2ztHqys5LHHMpvl29/Ovn1ZXVU76yH4zXvwwUynmU5zww3ZuTPJFs6pJ5P85jf53e+ytNRPKsznWQfBb9LKSh58sH9900257LKt/fOjUa66Kt/61tm3sA4OlA3rvoF77rm88EK/WtyBA9m2rb8RZkv3w3MQbJARfpMeeCBtm9ksk0k+9alk62/CMYdn44zwG9Z92/3QQ33w11yTT3wiMa1mCBykG/b2JfrO9ddnz56z2+FCJviN6b5p/8c/cvJkv2Xv3lx0UVZXBc8ACH5juhP1Rx/N668nyWiUffvObocLnOA3ZjZL2+bhh/Pmm0nysY9l//7ECTwD4TjdmG5Fmaee6t9eeWX277d+HIPhON2A7ku4l17K88/3W66+Otu3O4FnMAS/Ad0Xck880QffNDlwwFNqDIngN6C7Mnf0aF55JUkuuSQ332zZSIZE8BvQnaj/+c/92x07cuDA2e1w4XOorlf3e42vvppnn+23XH11Lr10y2+hh/dB8OvVncAfP352hF9edgLPwAh+vboT+BMncvJkv9jE8rITeAZG8OvVRX70aF/+tm353OcSt9AzKIJfl27qfvp0HnssSabT7N2bK66Y927BBgl+XbpR/dVXc+RIv2V52cV5hscxuwH//Geefz7btiXJ8nLimRmGRvDr0g3mf/rT2at0S0vz3SPYDMGv12zWL2t15kyuvTYf/ei8dwg2TvDrtbKSBx7oX998cz784bnuDWyK4Nfr5Mk8+2wmkzRNbrwxH/ygu24YHsGvrbsy99BD/eu27X9nxm83MjiCX6/uZyem0+zenY9/PHHLDQMk+LV1I/wf/9i//fSnc+WVieAZIMGvoVu+6pVX8ve/91v27esfkoPBEfwauuH9kUdy+nSSNE2uvz5JZjMjPMMj+DV0V+YeeSRvvZUkO3fmuusSi14wTA7bNby9EH334ppr+hHe8M4QCf58umVqT53KiRP9lquuyuWXZ3XVCM8gOWzPp7u15skn+x+Wapp85jP9dhgiwZ/PdJq2zeOP5+WXk+RDH7JqJcPmyD2f0ShNk6ef7i/dXXppbrqp3w5D5Mg9p+4E/o03cuxYv2X37uzaZZlaBkzw59SdqB8/fnZd6qUlZ+8Mm+DPqWv7b3/L8eNJMh7nC1+wTC3DJvhz6sJ+5pkkGY8zmeSLXzy7HYZI8O+t+52ZlZU8+WTy34fk9uxJBM+QCf69dfP5F1/sn4ptmn7VShg0wb+3bhhvmlx7bbZvT9sKnkXQtK47n1vb5l//yltv5fHHs3dvdu+e9w7B+yN4KMSUfm3dOnawACbz3oEBcFmehWGEh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+A61vMw+4ZSDlAAAAAElFTkSuQmCC", "image_next": "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", "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', [1.5031957644722136, 1.0741869497264955, -4.9778348959322996])", "action": "('move', [1.5031957644722136, 1.0741869497264955, -4.9778348959322996])", "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', [1.5031957644722136, 1.0741869497264955, -4.9778348959322996])", "action": "('move', [1.5031957644722136, 1.0741869497264955, -4.9778348959322996])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKhUlEQVR4nO3dXYhcZx3H8d+Z2c0aTUIbEQKFSFR8K1LECqbkItWCNBQbjRYKtRKwjVqEoBde9FrwQrxpWkzVEpAaqKWRoi0UKSkRjShCSiLV+HpTE9tKSVprujtzvDhH87K7NWLSnfH/+VzNTCZwYOab55xnnvOkads2QA2DlT4A4PUjeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChH8VGrbjMcrfRBMIcFPpabJYJD5+YvIvm0zP58dO7JvX158MW2btn09DpGJJPipdOZMXnghs7MZvPYHuLCQpsn99+eRR7JzZ375yzSNc4PKBD9lxuO0bQ4cyC235BvfyDPPLN9v26Zp8txz2bs3TZNt23LDDRmPMxy+rkfMJBH89Gma7NmTJ5/Ml7+c3btz8mSSpbIfjTIcZt++PPNMhsPcfffrfqRMHMFPk9Eog0EOHcqRI5mZyXCYDRuyfn3/+oVvHQ7zxz/mu9/N/Hw+8Ylcd12S/3QNwP85H/806abbHnggL7+chYWsWZPbbsvc3DLTcE2Thx7K0aNZtaof3k3XlSf4qdGN2b/9bQ4e7Mu99tpcf/1SV+XdS8eO5dvfTtvmjjty9dVqJ4KfIt0c3IED+dOfkmR2Njt2ZDjMeJymOf+t3fPf/Ca/+11Wr86uXRkO+79PbTMrfQBclPE4MzN5/vn86Ef9K1ddlVtvTdtmZsnPsG1z/fX51rcyM5P3vCeJ2ongp0V3Pv7Tn+bw4QyHGY3yyU/miiuWGt7zr7avvDKf/eyFL1KbU/op0LYZDnPmTB56KPPzadvMzuYLX1j+JP3VV/sHo5FLd85lhJ8CXdjHj+eRRzIYpG2zfXs2bVrqrd3M3u7dWbcuu3Zl0ybBcy7BT4Eu8u9/P6+8ktnZzM/nc59b6n0LC5mZyaFDefDBnDqVtWtz990ZjZa5yqcip/STrhuhT5/O/ff3N8xce20++MGzf3T2fU2TV1/Nvffm1Km8/e35/OeTWEjLuQQ/HX7wg5w40cd7xx1Zs2bRdF13Mn/wYH74wyTZvTvr1/spjgsIfjrs2ZOmycJC3va2bN26qOJuWu/vf8/evXn55Vx9dW6/Xe0sJviJNholyZNP5ujRJGnbfOxjeec7Fw3vXds/+Uk/rfeVr2TduhU5YCac4Cdd0+SBB/LKK0mybl1uvjnJouAHg5w6la99LTMzue663HTTihwqk0/wk6u7Kj9+PE89lSRtmy1bsnlz//pZ3dzdyZP5xS+ysJC77sqVVy6zIofq/GAzubpbYPbvz7PPpmkyO5vt2zM3129jc1bTpG2zcWMefzxPP50bbvDbO8tpWl+OidSN0CdP5uMfz+HDaZq84x05ciRzc2mapQZvU3RcBKf0E6rr99ChHD7cL7z51KeyevWirsfjnDmTf/yj36zOP9+8JsFPon8vnn/44f7pmjW5887kgh1rup1u7r03O3fm4EG72fAfuYafRN0wfvRoHnusv+N927a89a3Jufe8jUZpmjz7bL7znfz61zl9Olu3OrHntRkTJlF3Dn/gQF56qX/8xS+ev6N892gw6PeoXL06X/1q/wosz/dj4nQtv/hi9u7tF89v3pz3v3/RpftwmN//Pvv2ZTzOrbfmmmtW6HiZJoKfUA8/nOefP7t4/o1vPP9svRvJv/e9HD+eN70pX/pSsuRW1XAewU+i0Sjf/GaSfvH8hz/c/9be69L/859z331JsmtX3v1uV+9cDMFPlm6QPngwR470V++33JKNGzMen3N53tX/9a/nr3/Nhg3ZuXOZvSzhQoKfLN04fd99/W0zb35zbrxxqf8Pbn4+v/pVxuN85jN573uzsGC6jovhZ7kJ0g3jx47lZz/rn27Zkg99aNHi+SQzM9m/P089lQ98oE/d8M5FEPwEGY0yO5v9+3PiRJomq1Zlx46sWrVo8XySwSAbN+bTnz77FC6C4CdFt/P8iRN5/PF+fu5d78r27f2quyV0bzKw898wMkyKbtLtiSf66brBIDffnLVr+wV1S1j6Hhp4LYKfCN0w/tJLefTRfrpu7drs2pXYhJJLSvAToZucP3bs7OL5m27KVVf5cZ1LTPAT4dyd57vCu8XzcGnZAGPldcP4X/6Sa67JCy8kyZYteeKJzM2t9JHxf8cIPykefTTPPdefz995Z+bmjPBceoJfed1Cuj17kmRhIZs2ZevWJILn0hP8Cuuq/vGPc+xYhsO0bW6/PRs2nL94Hi4R36kV1i2Sv+ee/vFb3pKPfrQvHy45K+1WUrcn3dNP5+c/7wv/yEeyebPhncvF12oldfPzDz6Yv/0tg0He8IZs355k+dV18L8xwq+Ybpeq06fz2GP96rr3vS833tgvqofLwQi/Yrq18MNh7rknd92V9euzbVvWrbOTBZeRhTcToW3zhz9k/fpccYXauYwEv/KW2N8CLg/BT4Ruz3k3vHK5CR4KMWkHhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KOSftWOISXWPQxcAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3dT6hc5R3H4d97ztzrHwyIC0NjTUFclLYhlKJoKSpidZXQLupOUBA0tAulIlmICtadCG5EAg210LqSFk03FkGRtlFTtZu2WnAXqsQYixvDnTlvF3NBpLGGLkxnvs+zuszdHDjnM79zzrxzpvXeC8gwnOsNAL48gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocgs3O9AXwZ5vOapu2/Z7MavM+nar33c70NwJfEhF9zvVdrdehQHTlSs1mdPl333ls33bT9OmkEv86WZ2/vv18PPFAnTlRV7dxZO3du/0vwgVzMrbPFolqrxx+bTpzo551Xm5t18GDt2VPzucv4UHb72prPaxzrnbf7r54Z2tBOn+7f+Pp06601TWrPZc+vrdaqtXryyX78eG+tNjbb7bfXrl21WAg+l7v062mxqHGsN9/oN99SH55q06Lv+eb0hz+NF15Yw+DqPZe3+jXUew1DTVP9/HB98MEy7/bT+4YdO7bHPrFM+DW0vEp/841+7TV9Pg3TVN/Zu3j9jbGX2tOZ8GtoGKp6PfZYnd4aWqve+8M/G8tsx4RfP8v9+fpr/ZprpmEcF4u6+abpyO/axmbz2TsW3qyh1urBh1pvY1XNxum++4eNTSttqHJKv2amqVqrF16oF1+scajFon7ww3b99eU0jiXBr5VpqmmqRx/d/nrcjh114EDb3NxecgeCXx/zec1m9cyv+2uvVWvVe+3bVzfeWNNU43iuN47/D4JfE8uT+X99VIcO1Sef9Nbq4ov7PfdU767e+ZTg10TvNY7129/0o6+2cWzTVPv39auu2n4dlnwstw6W4/2DE33//jr6ahuGuuD86a2/DFdcUVVWzvMpx8I6WC6Yff75dvTV2tioaao772xXXlmtqZ3PMOFX3nIHfniqf+/a/vY/hmGsiy6Y/vq39pVdrayl5bO8/6+D1uqXv6i/vzOMs1rM+/0H267L1M4ZmPDr4OTJ2vOt6b33hzbU13ZPL7/ULt/dPOiC/+SIWG2LRVXV44/XP98bxrGmxfSTH7fLvto85YIzclCssOUMf/fdevrpaq3m89q7d/jRrVLnczk0VthywewTT9Tx4zWONY51xx11+eVta8tn75yZ4FfVfF4bG/XWm/3ZZ/swLMd73XZbTVPNfAeSzyH4lbRcLTuf1+HD/fjxaq3Gse6+u19yyfYiHDgjd+lX0vIZlX8+1r9/c//442E+r2/vnf54dNjcdAHPf+PoWD3LZ1RubdVTT9WpU9vT/MGH2vnnm+18ARN+9SzP548d61df3WezYWurbrhu+v2LwzgKni9gwq+eZdWPPFK9D1U1m9UDDw5u1HE2BL9ilt9vf/mleu65Gsfa2qr9+/t3r3WixlkR/OpprR56uLehVdWOi/qBA+2CC5ub85wNwa+S5UqbI0fqlVdan2qx6Pv213XX+bk4zpbDZJWMY/VeN9xQhw/X7t116aXtrrvapkdQc9bcpV9VJ0/WsWN1yy1VJXjOluBXksL53zilX0nLp1BP07neDlaNCQ9BTHgIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8m/OMZAGloXYxAAAAABJRU5ErkJggg==", "image_next": "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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": "4bf570fe03a768d885b8e0ac8dd3fde932af23ac0f2fea4d7eb1c261ecf13d41"} +{"episode": 33381, "episode_seed": 3794747100, "split": "train", "timestamp": "2025-09-15T23:19:12.862196", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3794747100, "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', [3.421500999639403, 16.68069774688912, -2.59596679823224])", "action": "('move', [3.421500999639403, 16.68069774688912, -2.59596679823224])", "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', [3.421500999639403, 16.68069774688912, -2.59596679823224])", "action": "('move', [3.421500999639403, 16.68069774688912, -2.59596679823224])", "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', [3.421500999639403, 16.68069774688912, -2.59596679823224])", "action": "('move', [3.421500999639403, 16.68069774688912, -2.59596679823224])", "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": "ffdc0986d3913a46d555dd085796227447978a4fbe864d27ae29adb38a498d6e"} +{"episode": 33382, "episode_seed": 3602876646, "split": "train", "timestamp": "2025-09-15T23:19:13.802745", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3602876646, "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', [4.126948160323235, 3.9810289662937777, 43.28509472036277])", "action": "('move', [4.126948160323235, 3.9810289662937777, 43.28509472036277])", "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', [4.126948160323235, 3.9810289662937777, 43.28509472036277])", "action": "('move', [4.126948160323235, 3.9810289662937777, 43.28509472036277])", "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', [4.126948160323235, 3.9810289662937777, 43.28509472036277])", "action": "('move', [4.126948160323235, 3.9810289662937777, 43.28509472036277])", "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": "cfa95e9f91dee4e11be9a96e4ed225b7b6a8b7f285fedaa61cfcd062ceeb35cf"} +{"episode": 33383, "episode_seed": 1229054583, "split": "train", "timestamp": "2025-09-15T23:19:14.414780", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1229054583, "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', [0.03268615469337186, -11.755018142433547, 54.391136425723424])", "action": "('move', [0.03268615469337186, -11.755018142433547, 54.391136425723424])", "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', [0.03268615469337186, -11.755018142433547, 54.391136425723424])", "action": "('move', [0.03268615469337186, -11.755018142433547, 54.391136425723424])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ8UlEQVR4nO3c33NUZx3H8c/uJtOm8qMUkimNpUAIxUEKV/VGxxmdXvsf9D9wvPfSK/0jvOp9L/oXeGPHGy20Ci0SGor8GLSdooHYZvccL3YFQq0t2pzT8n29ZicXm5PkWcj7PGeffbKDtm0D1DDsewBAdwQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC5voewDdS26Ztk2QwuP8Rvv4G7fQ3l//DeJwkg8H9G3w9Cf7RtG0Gg7z3Xm7fztJS9u3L3r3bDmiajMez7IdD/fP1IvhH88kneeKJ/OQneeONrK5mZSXHj2d1Nc8/n29/O8vLefbZbcdPJmmabf1DjwT/aJomTZNXXslvf5utrW2fWl7OoUM5dCjPPz87ERw7lkOHth0zffJ/L3v90zHBP4LJJKNRLl3Kj3+cDz6Y3TmduieThw/evz8HDuSZZ/LCCzl5MidP5tSpHDv2ud/8wXOBEwE7RPCPpm2ztZU//Sm//33eeSdnz+b8+WxsZDyeLd19noWFLCxk9+4cO5YzZ/LSSzlzJkeO5IknMj//cOFtm8nkfvwWAviqCP7/NZnk0qW8/XbeeSfnzmVtLX//++z2hf+0u3bNZv5Tp3L6dA4ezN692bMnCwsP/4hp/9NVgKHNE/yvBP+/ePB5+Getr+fdd2e3Dz7IzZu5cSM3b247ZjjMaJSm2fZcYH4+3/lOXnwxJ07k+PEsL+fgwTz7bJ5+etvXjsezAVgI5FEJ/iswffo9vQ2HD8/A167lypW8/37W17O+nsuXc/ly1te3HTM3l9Eo4/HD/R8+nMOHc+RIDh3KykpWVnLkSA4c6OAx8XgS/FevadK2s4+jUUajbZ/98MPcupVbt3L1ai5cyPnzuXAh77237ZjRKIPBw4sC8/NZWsrSUhYXc/RovvvdnDiRl17K4uKOPyIeG4LfWfdm/qZJkrm5h6/A797NxkY2NrK2lnPn8vbbOXcuFy/m009nX/J5FhYyP5+f/Sy/+EW2tjI/v4OPgseGvfQ7694C+3Sev1f+9DQ7GuWpp/LUU1laytGjeeWVJJlMcudO3n03Z8/mj3/MW2/lL3/Jxkbu3Mnm5v3vvLmZzc3Z03snbb4kwXfqsy+wPdjqvVPDnj15+eW8/PLs/skk58/Pbhcu5MaN/O1vuX49W1tZXU1i3Z4vyyX919S9P8ibLgQ+eJpo26yt5eLFfPRRfvSjPPfcF7xqAPcI/hvgwYWAtv0PG3XgSxL8N8+D8X92FRD+C8FDIVZ7oBDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8N1q275HQGmC79ZgkCRN0/c4KGqu7wEU8+abeeONrK7m1VczP9/3aCjHDN+Jtp1dzL/+en71q7z2Wu7end0PHRJ8JwaD2WX86dOZm8vNm9nc7HtMVCT4rkwn8/37Mx5nbU3w9ELwXZku1y0uZnEx43GuXet7QFQk+K5Mg9+/P8vLSfLnP9+/E7oi+G4tLeXgwSS5dKnvoVCR4LsyHKZpsmtXlpczHOb8eUv0dE/wHRqPk+TAgTSNF+HpxaA1z3SmbTMY5Pbt3L6dp5/Onj19D4hyBN+Ttk3TZDTqexzUIngoxF76Dk0v6ZO8+Wb+8IecOpUf/vD+nbDzLNp1aDCYrdv98pf56U/z618n/nKOTgm+W9O89+7NcJgrV/oeDeUIvlvTq/fjx9M0uXo1TZOh/wK647etW9Pgjx7NYJCNjVy5ksHADhw6I/hu3Qv+W9/KP/6RtbXEX8XTHcF3a3oBf/Rodu3KJ5/k8uXEuh3dEXy3BoNMJllayq5dadtcvJiY4emO4PswGOT48Tz5ZD78sO+hUIuddp2b7rT5zW/y8cc5cyaHD9t7Q2cE3ze10yGX9D1pmtlTd7XTIcH3ZDjM3bs5ezbXryfW7eiI4HuytZXTp/P97+f115N/vzcG7DDB92Q0yr59uXPHjnq6JPieDIc5eTJJbt5M02RuzlU9HRB8f1ZXk+T69Xz8saU7uiH4Pkwn82PHkuTGjfz1r4kNtnRB8P2ZBn/t2ix42HmC78/iYnbvzj//mY8+SrwyRxcE35+FhTzzTD79dLZQ750w2HnexLIP0yW63bvz85/n1q384AeJ4OmCvfRQiFmlV01jcZ4uCb5vd+/mxg1ba+mG4HsymSTJ++/n1Vfzve/lwoXEQj07TvC92tzM736Xq1dnb24HO0zwPZku1C8t5cSJDAa5dOn+nbBjBN+Tadv79uXgwSRZW3M9TwcE35Pp29fOz+e559K2OXcuW1t9j4nHn+D7M123e+GF7NuXuTmvz9EBG2/6M337yvX1XLyYlZWsrPQ9IB5/godCXNL3rWkyHruepxtmeCjEDA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngo5F/kGGMxu/HfHAAAAABJRU5ErkJggg==", "image_next": "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", "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', [0.03268615469337186, -11.755018142433547, 54.391136425723424])", "action": "('move', [0.03268615469337186, -11.755018142433547, 54.391136425723424])", "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": "af0cef1315a81f6d45832380d519d642c674413e3ba99bf9c62361829ebfe71b"} +{"episode": 33384, "episode_seed": 3526397853, "split": "train", "timestamp": "2025-09-15T23:19:15.024895", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3526397853, "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', [1.1349599265231451, -9.925500064166837, 56.05928340436257])", "action": "('move', [1.1349599265231451, -9.925500064166837, 56.05928340436257])", "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', [1.1349599265231451, -9.925500064166837, 56.05928340436257])", "action": "('move', [1.1349599265231451, -9.925500064166837, 56.05928340436257])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKWElEQVR4nO3dX6jfdR3H8dfvd87ZLo5bGyzbVpFexW4yQXRCkXSRsNAYOBkkCaGusG5S9NILL0QWQbSLMhpODJEpLKI/OvJKwaAINK25uSIVg0Q8Ozvbzvn96+L32zyZlsX5/b5n5/14XI1xDnzYzvP3+Xw/38/3e1qDwSBADe2mBwBMjuChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8B9oMGh6BLDSBP+BWq0kGQyUz9ox3fQAVp3BIK1Wnn02vV527sz69UnS7abdTtvHIxc5P8Lv1e9nMMh99+W667J7d375y7zzTqan026n0zHbc3FrDfwIL9PtZno6jz+eO+7I2bPpdJLkS1/K176WXbuyefO7XwMXIzP8+/j733PqVDqdTE1lZiZPP51bbsnu3TlwIKdPZ3rahT0XKzP8+zhzJi+8kIMH85OfpN9Pq5V2O71eklx5ZW6+Od/+dmZnR1/c77u256Ih+A/U6+WVV/K97+XxxzM/nyTtdvr9JLnssuzbl337Rov8wSD9fqammhwtfBiCfx/vCfjkyezfn5//PG+8kSRTU6PZ/qMfzV135eabc/nlSUZ/KXtWM8H/J8NbdEOvvpof/jC/+EX+9KckWbdutGm/ZUvuvDNf+UquvDJxA4/VTfD/3fIJ/8SJHD6cxx7Liy8myczMaCd/27bcdFO++tVcc02S9Hppt9/9sIBVQvAfVr+fXi8zM0ny17/mV7/KgQN5+eUkmZ5Ot5sk27fni1/Mt741yj7nz+cqn1VC8P+bXi+Dweg+/D/+kaeeygMPjLK/cG2/eXO+8IXce2927nz3u0z4rAaC/38M9+qHF+pLS3nyyXz3u3nppSwuptUazertdnbtyl135aqrcsklSdLpZHpa9jRJ8P+/5Vt6SX760xw8mOeey+LiaD4fTvi7duUb38jnP59NmxLZ0yjBr4DhwbvhhH/4cA4fzhNPZDDI1FRardHl/fXXZ+/e7NmT2dl/+XqYJMGvmAv34Xu9PPNMHn00jzyS5F9m+899Lnv2ZN++0UN4+bdlAoyV4FfSYJBeb7Slt7SUF17IgQN57LEsLSXnPwtarezYkdtuyx13OJ/LpAl+5S3PfjDIsWPZvz9HjuTtt5Nl53M/8YncfXf27s3HPpacfyzXQT3GSvDj8p478K+8ku9/P7/+dU6eTJad2Nm6Nd/5Tm68MZ/+dJJ0u2m1ZM+4CH4SLlyoHzuWQ4dy5MjofO6F7D/+8dx6a2666d3zuR65ZxwEPyGDQbrd0UG948dz5EgOHsyf/5wsy/5Tn8quXfn613PVVaNvsZ/HyhL8RC0/n/vaa3nqqTz4YE6cSJadz922LTfckB/8IOvWNTlU1iRbwxPVbmdmJr1eer188pO57bb8/vc5dCg7doyu+Wdm8uabo8M5sOLM8I0ZvkvnwsuwH344Dz2U3/0u/X7+8Id85jPu1bHyBN+wC//8w/J/9KOcPZtvfjPr17uGZ+UJfrUYnskxpTNWgl9Fhid2EhfwjIvgoRArSChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4VMNz0AksFg9IdWq9FxsPaZ4VeBVkvqTIbgV4FOJ4uLmmcCBN+oXi9JfvOb3HBDbrklc3PJshU+rDTBN6rfT5Jjx3L0aJ54ItO2VBgvwa8CZ89mejpbt2Z2NoOBtT3jI/hVYG4u3W7Wr0+s5xkvwTdqmPfp01m3Lpde2vRoWPsE36hh8G+/naWl0fU8jFNrYA3ZoH4/7XaOH8/f/pYtW3LFFa7hGSvBQyGW9FCIG79N63Ry/HgWF3P55dm0qenRsMaZ4Zsz3KV7663ceWe+/OUcPZq4Lcd4Cb45w7bn5/P663nzzXQ6TQ+ItU/wTVtYSLebdjtbtjQ9FNY+wTdtYSFnzqTfz8aNTQ+FtU/wzRku6RcWcu5ckmze3OxwqEDwTRvO8IkteiZA8M25MMN3u5mZyexs4i1XjJfgmzY/nySzs2n7v2DsHLxpzrDwz342t9+eTZu8/YIJcJYeCjGrNK3bTa+XqSkzPBNghodCbBQ1ZPg52+/n/vtz7bX58Y+bHhAlCL5Ri4v57W/z/PN56aWmh0IJgm/UuXPp9zM15YV2TIbgGzJc0i8uZn4+vZ6D9EyG4Bt17lwWFpLkIx9JPAzP2Am+UefO5fTp5HzwMGaCb8hwMl9ayuJipqY8KsdkOOzRqNOn89prGQxyySVJvKOacRN8Q4Zhz85m584sLNi0YzKctGtUr5e5uSwsZOvWzMw0PRrWPsFDITbtoBDX8I364x/z/PPZsSNXX21JzwSY4RsyvJL62c9y++25557Re29cXjFmgm/IcJf+7Nm029m+PevWNT0gShB8Ey48G3vqVPr9zM5azzMZgm9Op5NTp5Jkwwavu2EyBN+cbjdzc0mycWOmppoeDSUIvjnd7mivbsOGxLlaJkHwzel2c+ZMZmZGv3PGFj3jJ/jmLC3lL39JpzPasRv+ungYJ0drm9Pp5OWX89Zb2bEj27db0jMBgodC3A1q1HAZ32qZ25kMMzwUYtMOChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FPJPqtm1Z33NQj0AAAAASUVORK5CYII=", "image_next": "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", "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', [1.1349599265231451, -9.925500064166837, 56.05928340436257])", "action": "('move', [1.1349599265231451, -9.925500064166837, 56.05928340436257])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGoUlEQVR4nO3cTW4TWRiG0a/KTiQaSJwAI6Qe9Iw9NFtgeSyoe8gm2EBEIHFwEtvVgzI4Yl51W7znjOyMrpQ8+W79dsMwFJChb70AYD6ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCC/x8ZhtYr4Hcn+PZ+dt51TddBgGXrBUQbhuq6+vixPn+u16/r3bv68KH2++r9H2Ya3WAf2ch+X11XDw/1/n19+lRV9ff7+vefenio09PWi+M3ZcK31HV1e1uLRS2XVTX89eeuamljz3QE39h6Xet1bbdVVc//sNtiWg4WmxmPpdbr2mwOP1ldLsqpO6Zkwjf2M/iu684vtM60TPjG1uv6/r2qarGo8/PWq+F3J/hmfmzph3HCLxZ1dlZlS8+UBN/Mj+C7Xya84JmO4Bu7va3drsqWnlkIvrG7u8MHwTMDwTfz87LcaLm0pWdygm9mvGH+9vbwddGb8ExO8G2Mj83Ukwm/WNbLl8efwxQE38wvE/70ZN/3HolnWoJvputqu62bm8PX1ct90+UQQfAtbTbHLf3q3HBncoJv6f7+uKW/uPS7YHL+yNoYj9U3m2Pwq1d9uSbHxATf0v39ky29R+WYnuBbur9/ctJu1XIlhBB8Gz+39McJv2q3GmIIvqXNxoRnVoJvabOph4dhvANH8MxA8G2MW/r7+6FqWCyqBM8svNOujfHy291dV9WNny8u2q6ICCZ8S9++Vf2Y9iY8MxB8G+NU//r1+NUL7ZiB4NsYT9SNE36/rxfPtidL99IzOcE3MwyHCb/f1+psMNuZgeAbGA/ad7vjMfz5RdcvFM/kBN/Mdns8hr941fd6Z3qCb2a7PUz4qjpf9f2i6WrIIPhmHh+PE361OpzGg0n5K2vm6ZZ+tXJBjjkIvpmnW3p33TAPwTezfRyuv+zGnbw30jMPwTez3dZ67ckZZiX4Zh4ea6jF02djvZSeqXlarpmbm+NpOlt65mHCN3N9ffxswjMPwTfz5UvVIfL9s2daZw6Cb+Dps7H7ffXd3qNyzEPwzYwTfrer8xd1ctJ6NWQQfDPX19V1NQx1dtGfnnbl7RdMz1n6Zq6uDmfpnr/olyY8sxB8M31fl5e129Xbt3V62no1ZOgG14La2e3q6qr2+3rzphYej2V6gocgTto1Ngzut2E+juEbc2aeOZnwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOQ/env+M2GPFrQAAAAASUVORK5CYII=", "image_next": "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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": "cd131770f684dccb45de1001f0f1874626bd4bc238786d17884c6b3fdd5f43b1"} +{"episode": 33385, "episode_seed": 1229571257, "split": "train", "timestamp": "2025-09-15T23:19:15.633158", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 1229571257, "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', [2.4902314328949107, -10.074121743562655, 45.48445919877065])", "action": "('move', [2.4902314328949107, -10.074121743562655, 45.48445919877065])", "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', [2.4902314328949107, -10.074121743562655, 45.48445919877065])", "action": "('move', [2.4902314328949107, -10.074121743562655, 45.48445919877065])", "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', [2.4902314328949107, -10.074121743562655, 45.48445919877065])", "action": "('move', [2.4902314328949107, -10.074121743562655, 45.48445919877065])", "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": "0227ba80ca1aa3f3ad53ac4e7718720885405d82325c710e4f535c21248fd820"} +{"episode": 33386, "episode_seed": 2887748763, "split": "train", "timestamp": "2025-09-15T23:19:16.571376", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2887748763, "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', [0.2673197993952843, 0.04296226111423756, -16.212291312175278])", "action": "('move', [0.2673197993952843, 0.04296226111423756, -16.212291312175278])", "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', [0.2673197993952843, 0.04296226111423756, -16.212291312175278])", "action": "('move', [0.2673197993952843, 0.04296226111423756, -16.212291312175278])", "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', [0.2673197993952843, 0.04296226111423756, -16.212291312175278])", "action": "('move', [0.2673197993952843, 0.04296226111423756, -16.212291312175278])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFnElEQVR4nO3aTW4TVwDA8Te2Q12JNoYTILFE4gTcgg1rztRlT9ArwC26ZlF1C4n5WBQnznSRUGhVPoJKIvX/++nJ8kgeazb/996MPc3zPICGxXVfAHB1BA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkJW130B8D8xz5//zDR9++v4JMHDV5rnvwX8hTHP8/vx4SmLxVVMB9P8JfMS8M7p6Vitxi+/jJ9/Hnfvjps3x+3bY7MZt25djM1mHByMg4OxWs4HN6bVahwcjNVqrFZjcd330FZ4uJzzJfLXX8eTJ+Pp04/u5DebcfjDvLk9Npvp8HAcHo7N5v3r4eG4eXOs12O9nr9fj8VyunNn/PjjP5f9/5zg4RLm+WKVPjq6ODy3XI7Fcizetbrfj1evxna7+O33z3zhdzfG7VvzPE0//TQePhz7/Vh9yygFD5cwTRfB37s3HjwYu904ejG/PN6/3I7dbhpj+cmTx2K6uFefpjHPY78fb3fT86Pp5OSfM8g3Ini4nPMt9+PH49Gjsd+P3W462S13u/nkZPrj7Tg+fj+227HdjhcvxnY7tkf74+dnx9uxfb08PfuXW/mreYAvePga6/VYr/86msb4aK9nZ+djebZfnJ2N0/305s37SeHoaLx+PZ49G/fvjzG++VM9T+nha3zYzYfvzxfqa/+9/WMED9fgX7O7gmnClh6uwXVtAa77fwDAFRI8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQv4E6gelp1dTVlwAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFnElEQVR4nO3aTW4TVwDA8Te2Q12JNoYTILFE4gTcgg1rztRlT9ArwC26ZlF1C4n5WBQnznSRUGhVPoJKIvX/++nJ8kgeazb/996MPc3zPICGxXVfAHB1BA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkJW130B8D8xz5//zDR9++v4JMHDV5rnvwX8hTHP8/vx4SmLxVVMB9P8JfMS8M7p6Vitxi+/jJ9/Hnfvjps3x+3bY7MZt25djM1mHByMg4OxWs4HN6bVahwcjNVqrFZjcd330FZ4uJzzJfLXX8eTJ+Pp04/u5DebcfjDvLk9Npvp8HAcHo7N5v3r4eG4eXOs12O9nr9fj8VyunNn/PjjP5f9/5zg4RLm+WKVPjq6ODy3XI7Fcizetbrfj1evxna7+O33z3zhdzfG7VvzPE0//TQePhz7/Vh9yygFD5cwTRfB37s3HjwYu904ejG/PN6/3I7dbhpj+cmTx2K6uFefpjHPY78fb3fT86Pp5OSfM8g3Ini4nPMt9+PH49Gjsd+P3W462S13u/nkZPrj7Tg+fj+227HdjhcvxnY7tkf74+dnx9uxfb08PfuXW/mreYAvePga6/VYr/86msb4aK9nZ+djebZfnJ2N0/305s37SeHoaLx+PZ49G/fvjzG++VM9T+nha3zYzYfvzxfqa/+9/WMED9fgX7O7gmnClh6uwXVtAa77fwDAFRI8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQv4E6gelp1dTVlwAAAAASUVORK5CYII=", "image_next": "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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": "bbede5344ad1ac53d0ab8a0fbaa1ab981a4d72a84d09fac97db9d8ecedd7df67"} +{"episode": 33387, "episode_seed": 693453617, "split": "train", "timestamp": "2025-09-15T23:19:17.184769", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 693453617, "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', [0.59741257137903, 1.5380395795236395, 7.484916839295806])", "action": "('move', [0.59741257137903, 1.5380395795236395, 7.484916839295806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKm0lEQVR4nO3dz49dZR3H8c+595YGihaTIjVifxCgtKHAghBYuXFjwIWRlcZUDWwgMRIX/g8uiImJC9kQE4sLAmgCKzBGVygkWGXoKD/aMKMtU8CmtvTXzHVxTgYiisxM5d5zv6/XqnMXzenNvPs897nnPE8zHo8D1DCY9AUAnxzBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQiembCykpWVSV9EDwie/rt4MYNBBn6Z/7dmPB5P+hpgw5aWsryca67JeKz8j+Ctof8eeyz33puHH07TTPpSpp3g6b8XXshvf5vHHsvcXAaDLC9P+oKml+Dps/YD6fe+l23bsriYxx9PYpz/CIKnz9q2v/CFfOtbGY9z8GAWFjIYWLH/bwRPz7Vtf+Mb2bo18/N59NGMxwb5/0bw9Fw7nu/bl69/PXv2ZNcuwX8EX8vRf23hCws5fTp79rz/Ch8ieGbL8nKGw0Tz/5kpPbOivbt2OMyJEzl6NE0Tg9mHCJ4ZMhjkmWdy11356ldz9qwv5D9M8MyWpaW8+mrm5/PkkxmNcuHCpC9ougieWTEYZDzOgQO5446cOZODB3PmTIZDE/sPEjwz56GHkuS55/Kb37jT9t8InhnSLst/5Su55Za8914OHsz58wb5DxI8s2U8zpYt+e53k+Spp/LSS5brP0jwzJa27bvvzt69OXs2P/pRzp71hPwqbwSzpf3Qvn17DhzobsJp/wswyCdxpx0zqL3HbnExL7+cO+/Mpz/trrtVgqcGzScxpWeWrX4hd/y42luCZ0a1u1keOZLvfz/33JPFxYzHNsYQPDOqncP/4x95+OG88EJ++tM0jZtwBM+Mau+0ve22HDiQpsmTT2ZhIaNR8UFe8My08TgPPZTBIHNzeeKJNI3gYUY1TZom+/fn3nuzvJyDB3P8eIbDys0LnpnWLt09+GAuuyzPP59f/7r4cr3gKeD22/PlL2c4zE9+kpMnu4/3JQmemdauzF9+eb797Swv58UX87e/TfqaJsmddsy69jf8xIk8/XRuvTX79mXTpu7jfT2Cp5iVlcoPz9X9l1NU+zhd1YV6wVNDO5M9ezZPPJH77svvfpfxuOCNd6NJXwB8Itp9b5omP/hBXn01587li1+c9DVNgBGeMsbjbN6c73wnw2GefTa//32Gw1y8OOnL+kQJnjLatboHHsjVV+fEifzsZwUfkhc8xWzdmgcfzHicX/0qhw5lOCz1SV7wVNIu3X3zm9m2LW++mV/+MsvLpQZ5wVNJu3T3+c/n/vuT5JFHsrjYnTBfg+ApZjzOaJSvfS3btmVhIU8/naTOIO9OO6baykrOn8/589m8OZs3X4q/sV2oW17OD3/YLdpfddWl+Hv7QfBMo/b+1xdfzI9/nOefzzvv5Oc/z5e+1O00z7qZ0jON2s/Uf/97fvGLHD6ct9/O/HziOIkNEzzTqP3KfN++7NzZTcAPH05SZ3Ht/0XwTKN277kdO3LVVd2ofvRoEifBbpTgmUbtqD4a5dpru1eOHcuJE4LfKMEzpdpvyvbt6348dixvvJH4GL8xgmdKrQbffht3/Hg3qxf8RgieKdUGf/PNufzyJDl/PkeOJNbtNkbwTKl2a9kbb+yCT7rgRyOD/PoJnunVPsC+e3f34+uv59SpyntMXwKCZ3q1s/pbb+1+fO21HD8+wcuZBYJn2t1yS5I0TY4ezVtvJdbtNkDwTLt2hB+Ncu5c8VMkLgHBM73aKf2NN2bTpm5x/i9/SVJ5X/mN8s4x7T71qdxwQ7cP1dxczp3rtrFgHQTPtBuNcttt3Z/n5vLPf07yYvpO8Ey7wSA335wkw2Hm5wW/IYJnqrVT9/37k2Q0ypkz1u02RPBMtTb43bu7I+GS/OlPSaFN6C4xwTPV2rC3bs2OHd0hMYcOTfaK+k3w9MDWre8/J3vokOdn1k/w9MCVV+amm5KkafLnP+fChUlfUG8JnqnWbn3TNNmzJ0lGo5w82T02xzoInmnXrtvt2NHFv7KSP/4x8WD8ugieadeu223fnu3bu8jbhXrWQfBMuzb4z30u113XvdIu1Lu7dh0Ez7Rr75z/7Gezc2f3yiuvqH2dBM+0a5pcuJCmeT/4U6eysGDL6vUQPD3Qzuqvu657MPb06czNJWb1ayd4eqDtfPfu7qDX06fzyiuJhfq1Ezw9sDrCX3NNkqysdCO84NdK8PRAe9Tcrl25+urulTfeyHhsB9s1Ezw90DS5eDFN8/5Rc0tLWVqyR/2aCZ5+aGf1e/d2f3jrrbz2WmLdbo0ETz+063Z793YH0Swt5fXXEx/j10jw9MPqCL9lS5JcvNgFb4RfE8HTD+39djfdlCuv7F5pD5P1MX5NBE8/tAv1g0F27epeOXo0775rj/q18W7RG+2svt3QMsmRIzl2LDGrXwvB0xtt8KtHzb35Zhe8dbuPbzTpC4C12b8/g0EGg5w7l8XFxA62a2GEpzdWF+ovu6wb1f/618RRc2vhraJntmzJnj1d8IcP5733HDW3BoKnZwaD7gDpJPPzOXVqolfTN4Knf/bvz3CY0Sgvv5x33kks1H9sgqdPVo+aW17OYJCdO7vzp6zbfUzN2P+N9M3Jk/nDH3L99bniinzmM9m0adIX1B+Ch0J8D08vrY5TJvNrInh6SefrY9EOChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyH/Ap7kdfHzQ1k/AAAAAElFTkSuQmCC", "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', [0.59741257137903, 1.5380395795236395, 7.484916839295806])", "action": "('move', [0.59741257137903, 1.5380395795236395, 7.484916839295806])", "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', [0.59741257137903, 1.5380395795236395, 7.484916839295806])", "action": "('move', [0.59741257137903, 1.5380395795236395, 7.484916839295806])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK3klEQVR4nO3d72tW5QPH8c+5z602RR2hGaWlRS0Nw0rMLUoSQ1cpmAb9ZCUFkRCtHvRfjB5EUD0oejAhwqmUFKjVVpmmNBwKosSyTWYbsbLp5nbfpwfXSf3qfskX2s75vF+P9JbJcfjedc51ruucKEkSAfBQmOgDAPDfIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwyIVyWeXyRB9EBhA8sm9oSIWCCvxnHluUJMlEHwPwf+vuVqmkefOUJJQ/Cr41yL5t27R5sxoaFEUTfSiTHcEj+w4dUnOztm3TsWMqFFQqTfQBTV4EjywLF6RvvKE5c9TZqc8+k8Q4PwqCR5aFthcs0IsvKknU2KiODhUKzNiPhOCRcaHt557T7Nk6flwff6wkYZAfCcEj48J4vmSJnn1WVVVauJDgR8FtOWRfKLyjQ319qqq69AmuQvDIl1JJcSzR/PA4pUdehNW1cayeHv36q6JIDGZXIXjkSKGg3btVXa2NG9Xfzw35qxE88qW7WydP6vhxNTWpWNTg4EQf0ORC8MiLQkFJoro6rVihc+fU2Khz5xTHnNhfjuCRO/X1krR3r775hpW2VyB45EiYll+/Xvfco/Pn1dioCxcY5C9H8MiXJNGMGXr9dUnasUOtrUzXX47gkS+h7ccf1+LF6u/XO++ov58d8hfxjUC+hIv2G29UXV26CCf8CGCQl8RKO+RQWGPX2amjR7VypWbNYtXdRQSP7PnjD/39t2655VpCpnlJnNIjK8Iu2K+/1quvasECbdmiUmmsbe8Xb8idOUPtAcEjG0K8776r99/XuXM6flxtbYrjke+yh6dZtrfrrbf0xBPq7FSS8GAMgkc2hIn2p59WRYUknT6tlhZJIycczuF7e9XQoEOH9MEHiiIW4RA8siFMt69bp+uvl6RyWfv3a3Bw5GU1YaXtsmWqq1MUqalJHR0qFs0HeYJHZiSJZs5UdXV6Pb5/v06cGOsBdkmi+noVCjp2TNu3K4oIHsiGsGRu82YliYpFtbertXWsL4giLV2qzZtVKqmxUWfOKI6dmyd4ZEbod+1azZp1adJ+tLN6/Tt1t3Wrpk7VgQPat898up7gkTGVlVqzRuWyokiff66uLmnMdXTLl6u2VnGs997Tn3+ml/eWCB5ZEjp96ilJmjJFXV1qaxv1C8LMfEWFXnpJpZIOH9bp0//BcU5aBI/sWblSM2dqcFBRpF27JI26OyaM5zU1+ugjff+9brvN+RqepbXIknBz/fx5Pf+8mpokad48nTypGTPG/VeUy86b53z/5ciicFutokKPPZbO1Xd1af9+Jcm4r8rDdjrXQZ7gkTEh7PvuU2WlhoYk6dNPx/GQi/DH/f3avl0vv6yWFiWJ4cK74kQfAHBtwvl4VZUefji9gN+7VwMDmjp11C8LPxKiSG+/rZMnNTCgVav+g6OdbBjhkTFRpKEhTZ+umpr0t11d+u67cayUTxJNm6YtWxTH2rNHBw8qjtOTBBsEj6yqqdHcuUoSnT+vHTukUTbSBOHc4LXXNHeuenr0ySeGm+QJHtkTltYtX66775akJNEPP2hgYHzPp509W1u3Kkm0a5eOHBl1h20OETyyJ4o0OKiKCq1YkX7yyy9qbh7HQ+jDz4MXXtCcOfrtN+3cqVLJapAneGRSeENsba0qKyWpt1fffiuNucY2TN3dfLNeeUWSPvxQnZ1jbbjLFYJHJoU9b9XVmj9fkqJIBw7or79ULI7j/lyxqE2bNGeOOjr0xRfp13vgthyyKky6r16to0eVJDp8WG1tevDBS2+IH15oe9kyvfmmpk3TM89c+tAAS2uRVWGNbEuLHnlEkkolNTSovn6s4L1xSo+sCnfZamo0f346V7d3r86e5V1yoyF4ZFsca8MGRZHiWM3NOnVK4jUzIyN4ZFgI+8knlSSKY509q4MHJaNL8mtG8Mi8pUt1663p9vimpvQXGBbBI8NC2JWVWr8+fXrdV1+pu1virH4EBI9sK5cVx1q7VpKiSBcuaM8eah8RwSMPlizRwoX/sz0ewyJ4ZFtYLLtggR59NP3tjz+qp4fmh0fwyLawPX7KlHR7vKTeXu3eLclqF9x4ETwyL6zAeeAB3X57+tyqnTsl5u2GQ/DIvLDbbfFi3Xtv+smRI+rpGcdGGj8Ej8wLZ/WSampULEpSR4e+/NLzKZVjIHjkQdgts26dbrhBkvr71dycztsxyF+O4JEH4UFVd92lO+5IPwkvlWIjzRUIHvkRRaqtTQf2tjb99BPvg78SwSMnwlz9xo2aPl2FggYH0zfSGL9Xahh8M5ATYWC/804tXpyO6vv26fffnd8NPQyCR36EN8xt2qQoUrGo1ladOJF+joDgkStRpA0b0hdMDA6quVka/WXSZvhOID/CWf2iRbr//vTO/I4d6uuTGOT/RfDIm4qK9Bk4112nn39We/tEH9BkQvDIlTBdt3q14lj9/RoaStfVs3ku4Ln0yKFFi/TQQ+rr05o1WrXK8J2RI+K59MihUkmnTmnaNN1000QfyiRD8MizoaH0CdYICB75FC7muSF3BYIHjPADEDBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5B+0L7ZloIxu0QAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIl0lEQVR4nO3dXailVR3H8f969jkzoWID4pCNF4FvMRg5GmKWaReCOpXixQTiW2EvDl6lGV16441YIBZCvlwUOeNMhYhZSalpo0RohBNjBAqOoSAjouC8nP2sLvbRUMeILjqd/ft87s45N885nO+znr32Wmu33nsBGYaVvgDgf0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwrG69V+8rfRGrh+BZ3Vqr1mppSfn/EcGzio1j7dtXDzxQl1xS27Ytl8+/sbDSFwD/jd6rtTp0qK68sh58sKpqaHXxxbV27fKPOCwjPKtSazWOtXZttVaTSS0s1qOPjr9/rE8mNZ2u9MX9HxM8q9tNN1X1Pk7rjTfbT++t/ftrMvFi/gMJntVqGKqqTj+9Lrywj2MtLLTt2/vuZ3trgv9AgmcVm4X97RuH2Vz9wYPDHXdUvX0v4P1adzNk1ZrNzx040C/+Uv364Ta0Whimu/86nHBiqzJ1dxjuhKxis6f3tWvb1q2t+thaHVyafO/7TeofRPCsbrMn1HPPrc+d06bTaq22b68XXyyv5A9L8Kxuw1DTaX14XX3lq8uP8a+9VrfdVlXenzsMwbPqzQbziy6qM8+scayq2rmz9u6tYVj+kncInlVvGGppqdavry1bamGxWqsXXuj33NUF/36CZx4sLNQ41hVX1AkfG8exV7UdP2uvvFwW3r2H4JkHs6f69etry5ertTYMtfvZvnNnN13/Ht6HZ370Xvv21cdPGve9Poxjffqsfv/97dj1NY6W4izzZ2CuHHNMXfP1YRxrcbGefKoeedR49i5GeObH7H/5pb11ysfHAweG6bTOPnt8+OHhiCPsmV1mhGd+zFbUbzi+tm5t02ktLtauXfX44wa1fxE8c2Ucq7W6/PJat66PY7U23Hxzm90IKMEzZ2bT9Rs3ti1b2nRaw1BPPFGPPFJVVtpWCZ45MzsJZ3GxLrusjj66xrF6r1tuqSqLcKoEz/wZhuq9zjmnLrhgeVTftasee9TpV1WCZ/7Mzq4dhrrqqjryyGqtXn+93/mjcTbahxM8c2hhoabTOv/8OvuscRz7MLRf/Wb40x/7wkL6OdaCZw7Npu4WF+uar9WaNa33evXVundb1dsP/LEsvGFu9V7jWGeeMX36L5Oh1fpj+29/Vxs3tum0JpOVvrgVYoRnnk0mdf2Nk+p9GOrlV9rOHa1nr6s3wjPnDh6sT35i+re/T6rqox8Zn3xq2HB8VeoRl8H3OgL0XmvW1He+OxnHcTKpvf8Y7tsRmvqMEZ55NtsY+8rL/bzP13PPtdbquOP6nj3tqKNW+spWiBGeeTY74vLY9e2b36je+2RSL73U7rmnKnXhneCZf8NQmze3U05pS0vVWt1+ex06tNLXtEIEz5ybHXF54kl16aVVVa3V88/XXXf22ffTCJ45987e2Kuvrg0bahzr0KH+kx/3N95I/LAKwTP/ZttmTj65Nm/uVX0Y2tN/bg/cP04mcYO84Ikw2zZ73XW1bl3rvd56q7Ztb2++uXy+dQ7BE2EYqnqdemrbfMHYe00W2i8f6n94os9uBDkET4o2VFVdf+OwuNCr13Q63H13HTxYCwtBr+QFT4rZ1N2mTfXFL4zjWJOhfvHz8ZlngmovwROl9+q9vnXDpPdptTo0nfzwB2PUEZeCJ0tr9akzavNFw2yT7H072p49VTFHXAqeIK3VdFprP1TXXlvDMG2t9u9vt95aJXiYS7PFNp/5bDvvvMnSUp12Wm3atPz9BHbLEWf2MP/QQ7V7d91wQ1UFfRCV4Ik2m8bLOQMn5heFd5tOl/fM5dReRniIknRzg3iChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/BH/E4numSOtkAAAAAElFTkSuQmCC", "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": "543884e03865b06a1bd9159e7ff8d6d11530a5167fb30137495158c770c43249"} +{"episode": 33388, "episode_seed": 744833586, "split": "train", "timestamp": "2025-09-15T23:19:17.795662", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 744833586, "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', [2.1018344985368578, -7.617475262944069, -35.76647147971541])", "action": "('move', [2.1018344985368578, -7.617475262944069, -35.76647147971541])", "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', [2.1018344985368578, -7.617475262944069, -35.76647147971541])", "action": "('move', [2.1018344985368578, -7.617475262944069, -35.76647147971541])", "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', [2.1018344985368578, -7.617475262944069, -35.76647147971541])", "action": "('move', [2.1018344985368578, -7.617475262944069, -35.76647147971541])", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIFElEQVR4nO3d3Y5UVR7G4f+uqp7E+AHMxAij+BWhEcdhhGnEuQrvx1MvxwswXoCxQdrAZJAQwkRQJgYTUNQ26d57zcGuzNFEutvE6p33eY6q6mglvX69au2v6lprBWSYrXoAwO9H8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBkseoB8JsMQ/V9zWbVdTXz35sn6Vprqx4D8Duxwk/VMNRsVltb9ckndf58vf12HT9eXbfqYXG4CX6qxm/yH39cH3xQR4/Wa6/VRx/V668v/xHA/2VqTFJrtVhUa3XnTnVdPXpUd++2kyerNbXza8yOSWqtuq6+/ba+/HL5+tLf+7W1ckCGXyf4Cbv/Tbtxo6+uWquL7y2q7OF5AsFP0riSf/11PXrULRZVVRsXVzsipkHwkzRu1P91o+u6WbWad+3ChSorPE8i+OkZN+3b27V1tVqr3d166+xw9Oiqh8UUCH6qfvihXbnSV1dV9e4/5mtrqx4QUyD4qfruQX11t/6wVl1XGxu+zLMngp+ese1r17uum1dVa8O5v7aqGobVjosJEPxUXd6s1mpnp154oY4f78oRO/ZA8JPUWm1eXr64cGF27I+rHhATIfhJ+vHHun59eVfsuXP17LOrHhATIfiJGS+5+eKL2t6ublattbfealW1u+srPU8m+EnavFytVd/X00+3V19Z9WiYDsFPzHgo/sqnu1VVrdbXZydf7qrcJMeemCYTM4Z97Z/z8e2pU/Xii8tr7+CJBD8lw1BdV7du1cPvx77b6TeG+bx2dgTPngh+SsYjdlev1uPHVVWLRVs/U+UMPHsm+CkZhmqttj7vf/mlVdWJE7MzZ2dlA8+emSmTMS7vXVc3vuyquqo6caLOvumxVuyDmTIZrdXaWj14UPf/M/7V2isv9U895Qw8+yD4yRhPyN24Ud98PX7Qnftb5yF27IvgJ2PcwN+8WQ++q6p69pl658LMD86wLybLZIxXzt+8uXz79DO1sbH8HPbIZJmGYajFon7+uW7fXn5y4nh7/vnlmXnYI8FPw7hXv3evbt1a7trPn/cUevZN8NOwDP5uf/v2MC7ply511nb2S/DTMG7U7/x7PgyzxaK6ri69V+UaO/ZJ8BMwXlrT93XtWlV1u7v1p2P96dNVgmefBD8Z3z9q169XVbVWGxud51JzAIKfgHED//BhXb3az+ZVVRuXZtZ2DkDwEzC2ffdut709W1tUVb17saocpWffBD8BY/BXPq+u6/q+5vP+zBmtcxCCn4a+rytXlr8k9/ZfZkePrHpATJPgp2FnpzY3l0v9+Qvdc0fs4DkIwR9240b9/v26d6/Gn4J/551aLDzHjoMQ/DRsblYt75Bt6+v/ew37I/gJaK0ub7aq6vs6+VK9+OdW4yNvYJ8Ef9iNX90/+7Qf3755tnvpZFeleA5C8IfdbFaPH9edr5YPol8/U889V8PgNngOwqw51MaN+tZWbW+PC/qw/kZfVbu7qxwV0yX4Q20M/out4aefqqqOHOlOnfZcag5useoB8GvGc3KffVbDUGtr9eqr3Zk3qwTPQZk4h1drNZ9Xa/Xw0azramenjh2rl1+uvncGngOywh9qs1kNQ334Yb3/fm1u1sWLVVXDUPP5qkfGNHXNLVcQwwo/AX2/fCj9YmH3zm9ihYcg1gsIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8l8hO295ePE25gAAAABJRU5ErkJggg==", "image_next": "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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": "ae49d1b64dc90e2fe1655dd1ad9878beaae9ce9bb7cb09c4b8c324ccdcb9c1b8"} +{"episode": 33389, "episode_seed": 626492999, "split": "train", "timestamp": "2025-09-15T23:19:18.731301", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 626492999, "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', [1.8685285498453155, -2.2344188446617395, 20.153335831480472])", "action": "('move', [1.8685285498453155, -2.2344188446617395, 20.153335831480472])", "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', [1.8685285498453155, -2.2344188446617395, 20.153335831480472])", "action": "('move', [1.8685285498453155, -2.2344188446617395, 20.153335831480472])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJmklEQVR4nO3czYtddwHG8Wfe8p4hTdI0UFJsQ2sVYoKCrQ3aGqhFdyKI7rQgLly4cCOCO/8EEZfduFBcCUJHaSsRtK+xhbaUSkMbirRJTOxk0nSSeXFxrzOTSbWplE5mns+HIcyc+5JzL3zv75zfPeeMLC4uBugwutYrAHx8BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FNkjwi4trvQawHoyv9Qp8NEZGkmRhYfj74E9glfU9wg8G9tnZTE8nyehoRkczMpKFhczNZWHByA9XWd/Bz80lyS9+kUOH8qMf5Xe/yyuvZHo6o6MZH8/oaBYXc/ly5ueVD0kysrhuUxis+Px8vve9PPLIcOGuXTl6NPfdl898Jp/6VA4eXL7z3NzyJgB0WsfBz89nbCwvv5z778/Zs5mYyMhILl9evsOhQzl0KIcP5wtfyL33ZmJiuHxhYdi88mmzjoNfXMzISM6fz69+lT/8IU88kZmZ4U1jY5mfX77nvn05cCCHDuXYsRw7lltvXf08g6fSPxveOg5+pUuXMj2dEycyNZWpqbz+ei5fHk7ar7R5c3buzMGDeeihPPRQDh/O1q0ZXTGPMTeXkRGb/WxYGyT4Vf7+90xN5Y9/zEsv5cyZ4Rz+tfbty4MP5itfyec+l/37s2fP8k1XrgzLH13f05pwlQ0S/NKLWDUyX7iQP/85x4/nhRfy6qs5eXL5pomJzM0tP/C++/KlL+Xzn8+dd+auu7Jp03C58tlINkjwqwx2yxcWMr7iwKIXX8yJE3n++Tz3XJ55JpcuDZdv2pT5+eV9/ttvz5EjOXIkn/1s7rknN988XO6oHjaAjRn8kkH28/PDr+UHTp/OyZN5+eUcP57HHsubbw6Xj40lWS5/cjJ33JE778zRo3nggRw+/D5PPuAjgPVigwe/ZFD+wkJGR4dhJ5mdzblzef31PPZYpqby9NNXfau3ZHQ0u3fnllty//356ldz9Gh27boq8sFnhKk+bnwtwa80OOR2sGe+cuGZM3niiTz6aJ58MqdP5/z593nsyEi2b8+99+ZrX8sDD+TWW7Nnz/InCNzgGoNf8j+2yZ96Ko8/nr/+Na+9lpMn8957w+Xj48MthYFPfjJf/nKOHs3dd+eOO7J798ey3vD/qg7+WtcehHPqVJ55JidO5IUX8txzeeut4fJVB/ZNTubrX88jjwz3GuDGtEFOj/2oLKW+NIzfdltuuy3f+EZmZvLqq3nllTz9dI4fz9/+NnzI4ESd6enht/1247mRGeE/wKD8xcXlQ/GTvP123norf/lLpqbypz/lnXeS5Ne/zje/OdxAgBuT4K/XYJ4/uWqKbn4+MzN59tn8/vf58Y+zb99arR1cF8F/aIM3bHHRvjrrj+A/AoO38P235Jc+Hq79JhA+doL/f/23980ePDcws/TXWHVW7X+7Vsb1hP3uuzl7NmfP5p//zD/+kc2b861v+eKONdQ0wg+2q5e2sZPlzewPW+DFi3nvvczN5dy5nDkzTPrUqezdmx/+cJj0L3+Zn/wkV64Mr6o3P59PfCKvvZY4BYc10zTCX09mV67k9OlcupTZ2czODofoc+fy9tu5554cOza8sNb3v5/f/jazs6sffuBAvvvdTE4myZYtOX8+ExPZsiXbtmXTphw8mHffzY4dLqnJWmkK/uLFnD6dixdz4UJmZjIzk4sXMz2df/0r3/52br89Sd54I9/5Tt58M+fPr75uxsMPLwd/6lRmZzMxka1bs2NHduzIzp3ZsSN33718tt0Xv5if/zw335ybbhr+7NmTbdsS+/msmY7gB5vujz6an/0sMzOZns6FC8snxCf59KeHwc/O5tlnh0P32Fh2786uXbnppkxO5siR4cIkP/1pTp7MLbcMU5+czM6dw5+lvYODB/ODH3ycrxI+UEfwA++8k+efX/5zdDT792f//mzePDxiZnExBw7kN7/JyEh27crmzdm6NVu2DP/dvj35T/APPvjB/93gRPyl/YjBL8Z21lTTpN0bb+Txx7NvX/buzd692bYt4+MZH8/YWLZv/3DnuA4ujrVyAn9l1XCjagr+Oq2czF+q14Xs2RD6gn/f16tkOjTtww9om2IO+YIigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigoci/wbhjTLxadbpXQAAAABJRU5ErkJggg==", "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', [1.8685285498453155, -2.2344188446617395, 20.153335831480472])", "action": "('move', [1.8685285498453155, -2.2344188446617395, 20.153335831480472])", "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": "ccd629259426b4daf8ea43ca45ded3577d41394522daf157ae54adad3909dbe5"} +{"episode": 33390, "episode_seed": 2985721098, "split": "train", "timestamp": "2025-09-15T23:19:19.350586", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2985721098, "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', [25.8073394977208, 14.818671208272987, -14.135134188657219])", "action": "('move', [25.8073394977208, 14.818671208272987, -14.135134188657219])", "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', [25.8073394977208, 14.818671208272987, -14.135134188657219])", "action": "('move', [25.8073394977208, 14.818671208272987, -14.135134188657219])", "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', [25.8073394977208, 14.818671208272987, -14.135134188657219])", "action": "('move', [25.8073394977208, 14.818671208272987, -14.135134188657219])", "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": "079b242e16a48af35c22fc4db06521627b6bf94036f733572c0af7d721b3b0f4"} +{"episode": 33391, "episode_seed": 2499141273, "split": "train", "timestamp": "2025-09-15T23:19:19.965550", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2499141273, "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', [-3.193005854444999, -0.6848829303311482, 56.42445848176394])", "action": "('move', [-3.193005854444999, -0.6848829303311482, 56.42445848176394])", "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', [-3.193005854444999, -0.6848829303311482, 56.42445848176394])", "action": "('move', [-3.193005854444999, -0.6848829303311482, 56.42445848176394])", "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', [-3.193005854444999, -0.6848829303311482, 56.42445848176394])", "action": "('move', [-3.193005854444999, -0.6848829303311482, 56.42445848176394])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIMElEQVR4nO3cTYxdZR3H8f859w4EksKCIJgSgQTZaKKJxhiNwqaGVkhK8YWEhW6wUBWs0YJgQyqsKlpeogIFCy3QHWGnYaELKuqwkigllYREF6IJmChYO/fec1zcYToqIU3TeeP3+azP4slNvvM85z/nnKbv+wIytCu9AGD5CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCH5p9X31/UovAt4i+KUyTb1pqmlqPJY9q4Lgl0Tf19GjdfPN9eST9eabNRxW19VkstLLIl7T23pOtenG/vTTdfXVVdVv3lxbv1JXbGyqajyuwaCaZqWXSCrBn2LT2l97rT704Xr1LzUY1NxcnXFGbdncbf9m+5GPHr8Glp8j/Sk2LfnMM+vaL1RVNzdXTVNH/11PHGyuvKr/+rbJX/82f415HsvPDr+Efv+H2nl7/7Of98eOtYPB9B6+f+97um99u7l+a7tuXZVDPstL8EvumWf6O++sXz9Xk64ZztR4VFX1wQ90393ZbtpU69ZV11XX1XC40gslgOCX0PSnne7eex/qHn64nX2+q2pPO63m5qqqrrqqbrihNm2qqhqNaji01bO0BL/kuq6qqm3r1Vf7xw/099/f/OnP1bbNcFhzczUc1hc/P9n21fYTn2zKPI8lJvjl0Pc1HtfMTFXVkSP9/v3N7t01GlXbTkd3/XnnNVs2T27fOVi/fv76KuVz6gl++XRd9V0NhlVVhw/Xrl311FP9aNS0g+qm87zz6+abuhu/NjhrXVXVZFJtK3tOJcEvt66r9q1/hv7yF/2uXf2vnmvG4+PzvEvf3+36XrNxY3P22VVV47F5HqeM4FfG4kP7I3snDz3czs72Ve3MTI1GVdVv2NBs315XXFFNU6NRDQbH/0zASRP8Spo+e9O29frrte+n3YMPNn98uW/adjiYZl/XXVfXX1+XXVZVNZnUYLCy62XNE/zKWzi0HzlSTzzRf//uOvqvZvq+TdfVuefWls3drd9pLrp4/m7eJJ+TJvhVYfGzN4cP1+7dtX///N1+11VVf/75zbYbu29sn38+zzyPkyP4VWTxPO/ZZ+uOO+rQoRqN+uGwGY+rqr/4ov6uu9rPXlnmeZwcwa86i0/sj+3rfvxAzc42Vc1b87zu05+qW26pDZ9pZ2ZqPK62Nc/jRAl+ler76roaDOqNN+qhB7pH9jUvvliLs7/22nbr1rr88irzPE6Y4Fe1hUP7yy/X4we6PXuaf/yzmbY9mdQ559SWLbVjR11yyfz15nm8M8Gvdosfy33xcP3w7m7fo9V1C+/b1vr1/Ze/VLfc2kzneV03/yE9+H+CXxsWMu77mp2t226rQ4dqbq4Wsn/fBZNddw6u2dKvO6up/57/wQLBryWLT+wHD9aePfX88/3iG/uPf6xu39ls2NCcfvpKrpNVS/Brz8LzeceO1U9+1D/6WP3uhapqTpupuVFV9Z+7pu7+QXPhhW7p+V+CX6sWJvOvvFIHDtR993Sv/b2dfi1rMKgXXqhLL13pJbL6CH4NWzzPe+ml/r57au/efty1995bN91ke+dtCH7NW/iiTt/Vb35bBw/Wjh11wQWC520I/l3CWJ4TIfh3Fd/G4p159+JdReq8M6dACCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIf2bP5aV57M0YAAAAASUVORK5CYII=", "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": "287bffe9870acde100a751d051cfbf7c1677f49a69e001dbdcef459ea329a956"} +{"episode": 33392, "episode_seed": 115592495, "split": "train", "timestamp": "2025-09-15T23:19:20.574246", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 115592495, "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', [1.9152895920097626, 1.023256143098193, -33.9725895400991])", "action": "('move', [1.9152895920097626, 1.023256143098193, -33.9725895400991])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJTUlEQVR4nO3dzW9UZR/H4V9bioWWypthA1E3VMWUhQkujDFIorJRt7gyGlfu/CNcuHdnYty40fiSmODCGBSjRlGjIVHxZWGIYERFSkRpZ+ZZnHmGWkblRWw53+sKi2E6nZw285n7vs+cczrS6/UKyDC63BsA/HcED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEf5F6vVpYqE5nubcDLsVIr9db7m24OnW71evVyEj/H1wNjPAXrHlnPHmyXnqp3n+/RkdrbKxGR9XOVcQIf8E6nRobq3feqb17a3y8tm2rXbtqz57avbu2bFn64G63qgz+rDSCv2ALC7VqVb3ySj36aM3N1fx8//61a2t2tu65px56qGZmln7X/HyNjNToaI2aTLH8BH/xjh+vAwfqrbfqk0/qu+/q2LH+/a++WvffX71enT1bn39e09N1443nRvjmDWLVKmM+y0jwF6nZUTfw0Uf1wQf18cf1zTf18ss1PV0jI/Xee/Xgg7VpU915Z83O1o4dtWNHXXfdPzwVXHmCv3i9XnW71e32d9o1fvml1q+vTqdWrapnn61HHjn3+A0b6qabamamdu2qvXvrhhvOpb74ly9+rjzBX4ZB+SMjtWpV/56Rkfrpp/rqq/rwwzpwoN5+u06c6D9+fLxeeKEeeKC//+/Eidq8eelzNs8mfq4Mwf9Lut0hu+XOnq3Tp+vw4XrjjXrttfr999q/v66/vqrqyy/rjjtqZqbuvbf27Kmbb65162p8/IKeFi6V4K+AXq96vSGhnjxZ69f3ZwHPPVcPP3zuS1u21F131d13186ddcstNT19btq/sNB/Np/5c9naFnzTWtPFiqhj8OsdbE2zfUeO1Ouv16FDdeRIffFF/frruW/Zv7/uu686nep06syZuvba/v3N8qFZO8AladurZ8WtfxdvzeBQ3Kravr22b6+q+uGHOny4Dh+uTz+tgwerqrZuraoaG6uvv67HH6+Zmdq5s26/vXbuNL3nMrVthD9+vL7/vjZurKmp2rRphcW/WLfbPwNnsG7vdOrbb+uPP2r79lq9uqrqmWfqscf6X922rbZtq92764knauNGa3suTduCf+qpevLJGh+vDRvq0KE/rYVXqGaiXjVkrv7ZZ/X88/Xmm3X4cJ05U1U1O1vvvluTkyv+p2KFatuU/scf+8vhsbHl3pQLNDjqttn90NzTmJ2t2dmqqqNH6+DBevHFuvXWmpzsH+QLF69Vr5tOp377rT/ybd58tc15/2b3w9attW9f7dvX/6/auVQteek0M9xut+bm+sPk1FQ/+DbMfJvBv1m3X2VvY6wsLQm+0enU3Fz/9rp1LUqjGfzb8/OwbFr1Gup06vTp/u2pqatnGQ//lVYF30zpG815a8BirQp+YcEID3+nVcEvHuHXrTPCw1KtCr5Zwzf7ttatW+6tgZWnbcHPzfWDn5pa7q2BladVwXe7NT//pxG+XccNw+VqVfDN8eYNU3o4X6uCP3Wq6v+H1k1PVxnh4c9aGHxjcnL5tgNWqlYF33wm15xses01y7stsBK1JPhmGr84+POvBwm0JPhGE3yvV2vWCB6GaFXwzRq+263JScHDEK0KfnBc7eSki0TAEK0KfrCXfnKyfxlIYLF2Bj811Z/SO38GFmtV8IMp/dq11vAwRDuDt4aHodoZ/GBKDyzWquAHa3hTehiqncFPTZnSwxCtCn5urr9bvjlzxqlysER7gv/jjzp7th98c7kbf38NlmhP8IO/OVNVa9dWGeHhPG0Ivgl7bq663f6Q3gTfnDYHDLQh+EYzwjfxr1mz3FsDK1I7g5+YqHJcLZynPcGfOrU0eGCJNgQ/WMM3N1avFjwM14bgG81Ou6qamDClh+HaE/zp0+f22BnhYag2BN903qzhq2piwiVrYbg2BN8YnCpnhIe/0ubgreFhiRYGP9hpByzRhuAHH8s1rOHhr7Qh+MbiC9o1h9aa0sMS7Ql+cPWLiYlavdqpcjBEG64L04zk3W7/slaTkzUyUp1Ojbbn3Qz+HVd98L1ejY5Wt1tHj9b8fFXVwkJVVbdbY2PLu2mw4lz1wTfDe69XTz9dx47Vzz/XbbdVleEdhhjpWexCjPaMg92uHXXwD4zwEKQ9IzzwjwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4HI//31jVBCcwAAAAASUVORK5CYII=", "image_next": "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", "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', [1.9152895920097626, 1.023256143098193, -33.9725895400991])", "action": "('move', [1.9152895920097626, 1.023256143098193, -33.9725895400991])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4klEQVR4nO3dbWiVdQPH8d95mmW01Mz1QumBsZnGVggzWBqm5Ubgor0owjBmKWIxWmJFEShC78yKeiVIpIKp2VJxhKSpaVQWxqDSzLAwS0s3I93OOdd1v7iuttw975xmu71+3w++OsfzwOF8z/9//a+HpcIwFAAP6cF+AwD+PQQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOAHKAxVKKhYHOz3AVyIVBiGg/0eLk9BoDBUKhX/Ay4HjPDnLfplPHlS77yjjz9WOq1MRuk0teMywgh/3opFZTLatUv19crlNGaMamo0daqmTFFZWd//HASSGPzx/4bgz1uhoGxW776r2bN16pTy+fj2oUNVVaV779XDD6uysu+j8nmlUkqnlWYyhcFH8AN39Ki2b9eHH+qLL3T4sH76Kb69tVUzZigM1d2tr75Saaluuql3hI9+ILJZxnwMIoI/X2EYTerD1F+L3btXn3yizz/XwYPasEGlpUqltGeP7r9f116rSZNUVaXx4zV+vK67rp9nJH78uwh+wMIgTIWBgiBetIucOKFhw1QsKpvVihVqaup9wPDhGjtWlZWqqVF9vW68sTf1v374xI9Lj+DP17FjWrRIL7yg66//M9gwVBAoCJRKKZuV/hy0f/1VBw7o00+1fbt27NDx4/FT5HJau1YNDfH63/HjGjmy78tEz0b8uDQI/u9FDc6cqdWrNW6c3nhDtbX/tQwXBP0sy3V36/ff1d6urVu1aZPOnNGWLbrhBkn65hvV1qqyUtOna+pU3XKLrr5auVw/r81qH/45BP83orX5pUv19NNKpxUEmjhRra0aNUpheI4Yw7D/+06e1LBh8SzgzTf16KO9d5WV6a67dPfdqq7WuHEqLe2d9hcK8bOxzx8XjeD/l55d7zNmqLNTqZSGDtWaNaqri+/6ez0fb0+rUcn796utTZ99pv379fXX6ujofciWLfELFIs6fVrXXBPfHm0+RNsOwAXh23NOxaLSaR0+rDlzdOKEslkVi3rmmYHUrrOX4noOxZVUUaGKCkn6+We1t6u9Xfv2aedOSRo9WpIyGX37rebPV2Wlqqs1caKqq5ne4yIxwvcv+lS6uzV7tlatUjarQkEzZmjNGmWzymQuenIdBPEZOD3b7cWivvtOXV2qqFBJiSQtX67HH4/vHTNGY8ZoyhS1tGjECLbtcWEIvn9RUMuWqaVFuZy6u1Verl27VFb2T+8+jybqUj9z9S+/1OrV+uADtbfr9GlJqqrS7t266ir24ePCEHw/otq3b9e0afHsfcgQtbVp0qRLObJGS31SPy/w44/auVPr1unWW7VoUbyQCAwcwfcVjZ1HjujOO3XokHI5FQp6+WU1NzOs4rLHQHGW6FCaQkHz5+vQIWWzyuf14IOaMydewxu0txW9M07CwcXh29MraiqT0dKlam3VkCEqFFRdrVdf1ZVXDurxb9H5dtksteMiMaXvFW0ab9qkBx6IV9CHDdOGDZo8ma1mJAQjRiw6pOXgQS1YoHxemYyCQC++SO1IFEb4WLGoIFBjozZuVC6nfF4zZ+qtt1ioQ6IwwktSGCqT0ZIl2rgxXqi77Ta99pr4MUTCMMLHe9rfe0+NjZIUBBoxQps3q6aG49mQNO5f52hZfv9+NTfHp6UFgRYvVk2NCgUm80ga6+CjE93zeTU36/vvdcUVKhY1d67mzYuHfYJHwvgGH12jLgj0/PNqa1M2qzNndMcdWrLkrLPagCTx3YaPts/XrdMjjyifVxiqtFRbt2rChIGc/QpcVkxH+OgSMgcOqKVFXV3xpvuyZZowId6qBxLJNPhUSt3deuwx/fCDcjkFgZ58UrNmDeoB88Cl5/jtjg6bXbhQO3aopETd3Zo8WYsWnfsadUBS2G3DR8fJrlyppqb4qjMjR+r993X77Wy6I/m8go+Sbm/X9Ok6elSZjDIZrVihhx6idlgwmsJGe92PHdPcuTpyJN4DP3duXDuTeThw+ZpH85hUSi+9pN27lcupWFRtrRYvjmtnrzscuEzpo73uq1Zp1iylUioUNGqUdu5URQXnw8GIRfBR0vv2afJkdXbGV455+201NFA7vCR/Sh9dD+633zR7tjo744tSLlighob48tCAj4QH33Ppx2ef1d698bnu06Zp4cK4doZ3WEn4lD7a2bZ8uebNUzqtfF4336y2NpWXc647HCU5+Kj2jz7Sffepo0PptEpKtHKlGhu5TB1MJXaMi46T/eUXLVigjo74gPmnnqJ2WEvsCB8N701NWrEivihlXZ02b2YaD2vJDD7a2fb663riCWUyKhZVXq5t2zR6NPvhYC2BwUercdu2qaFBf/yhMNSQIVq/XvX1LNTBXQK3ZaNfsPXrdepUfMtzz6muToUCp8fAXQJH+EhXl155RUuW6J57tHZtPI1nMg9ziQ0+smePhg/X2LGc/QpIyQ6e9TmgjyQvYaVSCgL+XBTQK8kjPIA+kjzCA+iD4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8ATFAHYHUXPf0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [1.9152895920097626, 1.023256143098193, -33.9725895400991])", "action": "('move', [1.9152895920097626, 1.023256143098193, -33.9725895400991])", "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": "92f968217fbd2510cd5d59d6ae523124707b2140acee2769387aa14e7eb4a48b"} +{"episode": 33393, "episode_seed": 2805617120, "split": "train", "timestamp": "2025-09-15T23:19:21.539525", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2805617120, "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', [0.27107520393426693, -2.1180820645020684, 38.48826403567485])", "action": "('move', [0.27107520393426693, -2.1180820645020684, 38.48826403567485])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKeUlEQVR4nO3dzY9V9R3H8c+9MygDYrVqECU40lHiQ4x2o7ZRQ4I1PuCuq/4FbkyarvsXuDGuXbnsslorMcaHGglgq8YQIo5iXQAGsWnr4Dgz954u7imDKDpA7dwz39crN2S4czOcucmb3+/87nnoNU0ToIb+am8A8P8jeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPGtN06z2FowxwbPW9HqrvQVjTPB03mCQJC++mN278+yzmZ3N11+v9jaNq8nV3gD4H2iavPFGXnghL7yQqal89FG2bEnTGO3PZoSn25omExM5eTJvvZVeL/1+brstW7Yk5vbfRfB023CYJEeO5MCB9PsZDvPoo2kaS3ffTfB0W7+fJAcOZH6+/fqxx4zt5yR4Omy0lz4/n5deSpLFxWzfnh07Vnuzxpjg6byTJ/Paa+n30+vlkUeyYUNiB/4cBE/n7d+ff/87k5NpmvzqV5mYaHfs+TbB02GjYfz559PrZXExmzfnlltWe5vGm8/h6bbFxbz0Ursm/8ADuf76xHz+3IzwdNUo8r17c+JEJiaS5L77MjWVpSXBn5Pg6arREbV//GOWljIY5Iorcuedq7xJ40/wdFWvl+Ewr7/e/vWuu3L77cl/P5nnO3lv6KThMBMTOXgwn37aPnPnnbniiiwuCv77eG/opNF8fs+enDyZJBs35he/cDjtDxM83XP6NLi9e9vyt23Lffel12tX7zgXwdM9TZPJyczO5uDB9plbbsnmzebzP8zbQ/cMBmmaHDiQI0eSZHIyu3YllutWwDtE90xMpNfL229nYSG9XjZuzMMPJ4JfAe8QHTMcpt/PiRPZty9JmiY7dmR62vVtVkTwdMxoKf7w4ezbt3wCvPX5FRI8HTMaxt9+O0tL7Zq8K16snODpkqZJv5+5ubz8cpIsLuZnP8uttyZOmFkZwdM9J07kL39pl+4eeyyXXLLaG9QdgqdLTs/n//Wv9ooXDz2UXs8+/EoJnu4ZXfFiYSFbtuS221Z7azpF8HTM/Hz27Gm/3rkz11yzqlvTNYKnM05f8eKzz9Lvp2nywAOZmspgYMVupQRPZwyHaZo8/3ySDAa5/PLcccdqb1PXCJ7OGF2I+pVX2r/efXf7gZwjalfOW0U3jObt7723fMWLn/88l1/uCnbnR/B0w2gH/s9/zj//mSSXXZZ7713dLeokwdMZTZM332zLv/HG3H13e+tYVk7wdMBgkMnJfPxxDh9un7n11lx7rfn8eRM8HTC6ddRbb+Xvf0+Sdeuyc6fzYS+E4Bl3oxNmkhw4kIWFJLnyyvaIWvP58yV4xt1oR/3Ysezf3z4zM5PpacfbXAj3lmPcjVbpDh3Ku++2hT/ySOJ82AtihGfcjcL+29/y9dftHH737uXnOS+CZ6yNduC//DKvvpokg0FmZtpbSgn+AgiesTaazx8/ntdfz8REmiaPPir1Cyd4xtrpK17MzbXz+VHwrnhxYQTPWBsF/+KL7RUvrr3WFS8uilV6xt0//pE//Snr1mU4zIMP5qc/Xe0N6jLBM75Gx9IdPdoO70l27syll7b3ouACCJ7xNZrP33BD9uzJ++9n//7cc89qb1PH9RqrH3TE6Io3Dqe9GEZ4xl3TtCfPSP3iGeHpDKfHXTxLH3SG2i+eKT1VnTW3rfHfieBZ005X/e2eaxR+FsGztjTN8iNp7zh55nd7vSwuZmEhCws5ejSHDuWjj/LGG9m1K7/9bZaWMrmWo1jLvxtr35nreMNhhsNMTp49dJ86lcnJ9hazw2Gefjp//WtmZ3PoUL78cvllc3N58sn2jjZrd/C3Sk+nnDmAjz6UP+uYu/n5HD++/Pjkkxw5kt/8Jo8/3o7eV1+dkyfbF2/alM2bc9112bw5996bJ57I+vVrO3gjPF0wyrvXax9nGg7bZ2Zn88wzOXIkx47l6NEcP778mo0b8/jj7ST/iSdy7Fi2b8911y0/zjxAf+3WHiM8Y2SU7vf39tln+eCDHD6cw4czO5ujR/Pcc7n55iTZty/3398ecz9y00256abMzGTXruze3R6C/9VXueSSsw/iGQwyHGbduh/htxovRnjGxpmT88XFNE1bYK+XvXvz+9/n00/zxReZm8v8/PIrDx5sg5+ZyZNP5tSp3HVXduzI9HQ2bMjUVNavb3/y6M+pqSRZWvrGlKHfL3Icn+AZD199lY8/zuef54MP8uGHeeedbNiQZ57J9HSSnDq1fBPJTZty9dX5yU9yww2ZmcmNN7bPX3VVnnrqh/+h0ZR2TS/Ff4+ivzZjZDDIxETeeSe//OXZ3/rd7zI9nabJjh359a8zM5OZmWzfnpmZbN36fT/zzB3Vs/YR1vQu+g8SPONh/fqsX59NmzI9na1bs21btm1rR++mydat+cMfvvH60Ydwo9m4g2pWzKId42FuLu+9l0svzTXX5KqrsnHjN77bNFlcXN7lHnXO+RM8Y2k4bO8gaaz+nxI84+H0We+nP5mT+o9A8FCIHSEoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIf8BXWk4jSLyP0wAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [0.27107520393426693, -2.1180820645020684, 38.48826403567485])", "action": "('move', [0.27107520393426693, -2.1180820645020684, 38.48826403567485])", "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', [0.27107520393426693, -2.1180820645020684, 38.48826403567485])", "action": "('move', [0.27107520393426693, -2.1180820645020684, 38.48826403567485])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ3UlEQVR4nO3cfajldYHH8c+5517nIWcVQlhomCa9ltFKjhAMik7B7L8LQkGlAxotbgVuJiG1JCOuVFCsDkRlzQit7LKxxEobRGG5uiS5pEQju47iQzXOSOkKPuK99/z2j3u8M4lrtmvee+fzenH/mTm/uZy53Pf5fZ/OGQ3DEKDDzGo/AeCNI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoInjWiskkw7DaT+JEJ3jWipmZjEZZXJT9H5HgWWXDkGHI00/njjvy9NOZnc0wZGlptZ/WCUrwrL7RKD/6UXbtysUX5wc/yMxMxuMsLLjVv/5Ggx8qq2cYMhrlqafyvvflF7/I0lI2bMgHP5grrsi55x67gNeL4FlNyz3/9KfZuTNJxuPp0t1b3pIPfCCf/WxOO216WaL814EhPatpNMow5JxzcvBgLrpo+sfxOIcP54Ybcu65ufHGPP98RqOMRllaMsj//3KHZw354Q9zzTW5++5MJpmdzeJikuzYkb17s3t3Nm+e3v/H49V+ouuW4FkTjp+rf/Wr+cY3cu+9STI3l4WFJHn/+/OJT+S9702ShYXMzhrh/18InjVkZa5+5Ej278/XvpbDh48t2m/cmEsvzeWX55xzkmQyyYwp6R9I8Kwtw5DFxczNJcnBgzlwIDfcMB3GL4/nt23Lhz+cq6/OqadOr4/1vNdM8KxFk8l0Gp/knnuyd2+++90kGY+nZ3Lm5/PpT+eyy6YvDUtL04N6vDrBs3YtLU3X54Yh3/terr02P/tZhuHYet573pPrr8+FF2bDBut5r4ngWetW1vOWlrJvX/bvz333JTmW/Yc+lCuumO7kv/hi5ubc6v9Xgmd9WJmr//rX+frX881v5ujRjMfT99ts2pTLL89HP5p3vSs5bmjAywie9WRhYTppv+eeHDiQr3wlOW7r7owzsmdPrroqJ5+cOJb7SgTPOrOynjcMueuuXHddvv/95LgR/lln5eqrc+mlx65fPqhHBM86tTJoX1zMrbdm794cPJi8lP1olJ078/nP57zzMjdnPe8YwbNeHb8Dv7CQL385N9+cQ4eS4+72e/bkyiuzY8f0GufzBM+6t1L+r36VG2/MLbfk8cePredt2ZKPfzwf+Uje/vakfj1P8JwgFhenB3Xuvjs33ZT9+5PkpJPy4otJ8s53Zs+efPKT2bTppReIJDnul7/j1i94Thwr63lLS7njjlx3XX784yHJ3GwWFkdJ3v3uXHVV9ux56fq+94cLnhPLZFhaHMazQ2aGF57Jv/zr+JprRw/8V/LSxH52nAsuzN9el51n/ffM4Qcm//no8NDD43//t+zenSuvPDZOOEEJnvXs+K32487fD8nw0t37+See+9INswf+4aRHHkqS2ZnJ4mQmWfzL3HxFvvRnOTT957t25bbbpjt4J+7wXvCsK8ufcbvyNR6//C2yL7yQo0enX0eODo8+Mnrk4fzVxQ+d/hd/98XJP/7TzBNPZDyb0TAsLo1OHT3117nxkrPvPePMudH55+VjH8vGjSf2eR3Bsx4s5/2K997lgzVJHnww+/bl4Ydz5EgeeyxHj65csnjJZbN/fyBZvPPO2Zv+5tFb7vzTZMPszNLiME5y/oW54/aWyfyJPF1hnXmVM3Erf//447n//hw6lEOH8uCDeeyxfOtb0w23J5/MTTdNF+WXnXlmzjwz8/Ozf757MslkceaCC7Lzn//kkv8YX//F3HnnOBlmsrjz3PFoaRiWJqOT5t6Q/+dqcodnTVr+VPrlc/OjUe66K5/7XH75yzz5ZJ59Ni+8cOzK73wnF12UJE88kS98Ic89lx078o53ZPv2bN6cTZuycePKsH9lSe6ZZ3LrrfnMZzIa5b6Dw8kn25aDN9Lzz+ehh/Lb3+b++/PAA7n33mzenH37sn17ktx2W3bvnl65ZUtOOSWnnJK3vjXz87nssulHXr02w2QYMlp+BfjNb3LkSM4+uyT2RPCsvuWzbz/5Sc4//+UP3X57du3KMOTw4XzqU5mfz/x8Tj898/PZuvXVvufwe07UnNALc6/GHJ61YePGbNyYLVuyfXu2bs22bdm2LW97W5IMQ7Zuzbe//TvXL2/CjUav/NFWv6/mlcfbyneHZ2149tn8/OfZsCGnnZY3vzlvetPvPDoMWVg4tkm+3Dl/OMGzJk0mWVry7rbXneBZG4Yhk0ly3A6c1P8IBA9FTISgiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyP8Aiol/vJZ2294AAAAASUVORK5CYII=", "image_next": "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", "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": "86436486f3f4a16364164e9d396e78e160d56893d876e010d2136ecc80e76e89"} +{"episode": 33394, "episode_seed": 2795695865, "split": "train", "timestamp": "2025-09-15T23:19:22.153212", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2795695865, "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', [-1.069254423880858, 7.126667672059128, -20.728617634022516])", "action": "('move', [-1.069254423880858, 7.126667672059128, -20.728617634022516])", "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', [-1.069254423880858, 7.126667672059128, -20.728617634022516])", "action": "('move', [-1.069254423880858, 7.126667672059128, -20.728617634022516])", "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', [-1.069254423880858, 7.126667672059128, -20.728617634022516])", "action": "('move', [-1.069254423880858, 7.126667672059128, -20.728617634022516])", "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": "a6c86eafeeeaf891ec8f59cfab409c4209a8ffa26256e88ccd12e2fcee02e055"} +{"episode": 33395, "episode_seed": 2329033928, "split": "train", "timestamp": "2025-09-15T23:19:22.775366", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2329033928, "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', [16.433120428677906, 10.26596017764218, -31.81920563312434])", "action": "('move', [16.433120428677906, 10.26596017764218, -31.81920563312434])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALnklEQVR4nO3db4hUVQPH8d/MzugqmmYWKBWoPJigopRmplSaoaYrBL4RIigKouiPrC8K0aLEJE0kKBNFQSjCJNfUlpSs0AyKqGSTTXNV0shSUFdz25m5z4tzseJ5LN0/c+/M7/t5F705OPPdc+65Z+7NRFEkAB6ySQ8AQPkQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCR1coFpMeAa5IJoqipMcAoEyY4dFpp05p4UKdPq0oEvNHuhE8OqFQkKSFC7VkiaZP16lTymRUKiU9LFwWwaOjCgXlcmpo0MaNknT77Ro4UMWisnyp0otreHRIsahMRj//rGnTdOCAxozR7t3q10+SMpmkB4fLyiU9AFSgKFImoyjS0qU6cEA9emjlSvXvn/Sw8O9YfeHqRZGyWTU2av16Saqv1913s11XEVjS4yqF6f3IEU2bpkOHNGGCtm3TgAESi/kKwAyPqxSqbm7WyZPK57V0qa67TqUStVcEZnhcpVIp3offuVPHjumRR5IeEK4CwaNDLmUfVvioECzpcWXCxFAq6dNP1dambFaFggoFaq8sBI8rEw7VvfuuZs9WXZ1OnVIupxy3dSsMweMKlErK53XkiJYu1blz+vVX9eyZ9JjQEQSPK1Mo6OWXtX+/+vXT6tXq0yfpAaEjCB7/Jhyz2bpVGzZI0vz5GjdOpRInbSoRu/T4R2ET/uRJTZiglhZNnqzt29WnT/xXAJWGzwz/plDQM8+opUUDB+qll9S375/35FBp+NhweeH83Oefq6FBkp54QnfdpfZ21dQkPTJ0EEt6XN6lQzWrV2v3bm3YoF69OGlT0Qge/yhM8pcKp/YKx5Iel1EsqrVV2awyGRUK8bY8tVc4gsf/CA+lO3ZMEyZo/ny1tsYn6qi98hE8/p8o0uLFamrSmjU6eDDp0aDLEDz+Ltxgf/ttbdyofF6LFmnsWH7uXjXYtMNfhLCPHdPEiTpxQlOnatMmXXONMhluvFcHPkX8XSajBQt04oQGDNCyZbr2WknUXjX4IMsq1cupQkHZrNau1ZYtkrRggW69VYUCx2yqCUv6MokilUopbie8QKK5WdOn6+hR3XOPdu2SmNurDR9nOYS3NtTUxC9fS+Pf2HC6ZvBgzZ2rYcP0+uvxHXhUF2b4MimVtHatWls1f34qf3sS3vccViDHj2vQoPQNEV2A4LtX2Pbes0erVmnzZtXW6qOPNHly/F62tLh0hC7tFx7oLP6Kd6+Q0i+/aPNm5XK6eFErVsQnVtPyktUwxIcf1rp18e23tIwMXY/gu1e4bn/gAc2apUJB+by2bdOOHalZL4fdhbfe0vr1euwxvfce73uubizpu12YQb/7TuPHq1hUoaBRo/Txxxow4G+/Q0tA2EtobtaUKfF7YBsa4qdTsl1XpVIy0VSz8J7V0aP19NPxpfv+/VqzJulJPlyut7XFx2wGDtTy5aqt5Sdx1Y3gy+eppzR0aDytLlumlpbkhhJqz+X02mv68ENJWrRIo0bxpLqqx6dbDuG6ePBgLVgQ79ufPavnnkvuevnStcTo0erfX9Om6fHH+YWMA67hyyT8M587pzlz9MknymbVs6c2b9aMGSoWE7oRFlbvTU26/nrdcEMSI0C5EXz5hAv4bds0d67++EOlkiZN0q5dyuWS+zXaX+/AM70bYElfPjU1KhY1a5bmzIkvlvfu1bp18a27ZIQdRWq3wQxfVuEyublZEyfqzBlFkYYN0+7duvHGVJ63RdXhK1ZWIelbbon3yLJZHTqkN9+M/xDwtxfdjRk+AaWSzp/X2LH68Ufl88rntW+fRo9mZY1uxwyfgGxWfftqyZL4Py9c0OLFTO8oB4JPQNgmq6vTzJnxi5u2bNEHH7CqR7djSZ+McAG/Z49mz1ZrqwoFjRypffvUu3fSB+xR1Zjhk5HJqFjU+PGaNy++P9/UFD9mJjyKAugOzPCJCQfsmps1c6aOHFEU6eab1dio4cM50o7uwtcqMTU1am/X8OF69NH4MTNHj2rlSknxe9yALscMn6Twb3/xoiZO1LffKpNRnz56/31NmZLcAXtUNWb4JIVt+V699OKL8TL+7Fm9+qouXOBJU+gWBJ+wcK1eV6c5c+Ldu8ZGbd3KXj26BUv65IVPoKlJ48errU1RpCFD9PXX6tePs3foYszwyQtJjxypZ5+Nn0Nz+LBWrEh6WKhGzPCpEH4889NPuvde/fCDsln17q2vvtLw4fyKDl2Jr1IqhC26m25Sfb169FA2q9ZWLVyoUomtO3Qlgk+LcMZu7lzdeWf8ytYdO7R9u3I5FQpJDw7VguDTItyi699f9fXq21dRpAsXtHy5Tp9WNss5HHQNgk+RXE7t7ZoxQ7Nnq1RSPq+9e/XOO9yTR5dh0y5dwn24w4d12206c0alkv7zHzU2asgQDtijC/ANSpewsB86VPX18S26gwf1xhvx/wI6iRk+dcIkf+6cxo3TwYPKZNSjh/bu1ZgxEtmjc5jhUydM8uEZWOH+/O+/6/nnOWyLLkDwKRVFuv9+1dX9ecB+0yZJ7N6hU1jSp1TofM8ezZyp8+cVRRoxQl9+qdpaSezeoYP44qRUeE3NpEl66KF4f/7777V8Obfo0CnM8OlVLCqTUUuLpk7V0aPKZjVokHbu1IgRPB4DHcQMn17hnXPDhunJJ+PtuuPHtWqVCgV279BBzPBpVyyqvV133KFvvlHPnspk1NCg++5jkkdHMMOnXTar2lq98ooktbWprU2ffaYoSvSds6hYzPAVIBzFefBBffGFXnhB8+bF9+pZ2ONqEXzF+O03tbdr0CBSR8cRfIXhATjojFzSA8CVCq+gpHZ0BjM8YIT5AjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wIRljPGm06kjQAAAABJRU5ErkJggg==", "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', [16.433120428677906, 10.26596017764218, -31.81920563312434])", "action": "('move', [16.433120428677906, 10.26596017764218, -31.81920563312434])", "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', [16.433120428677906, 10.26596017764218, -31.81920563312434])", "action": "('move', [16.433120428677906, 10.26596017764218, -31.81920563312434])", "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": "dca5ead7fb50e12e3ec13785de2c849d5f68693e2419dc23d69bd32a4d682431"} +{"episode": 33396, "episode_seed": 4202607113, "split": "train", "timestamp": "2025-09-15T23:19:23.384656", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 4202607113, "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', [19.75550916470728, -44.77361236083954, -20.36946943309829])", "action": "('move', [19.75550916470728, -44.77361236083954, -20.36946943309829])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3dTWxU9QKG8fecmfIlAkaCqSYmtUgTEpJWENMqaIyxpA1YNKBdIAshcWFYuOjKDW7cmJgUExM0GqIiihECEhQi8lVEiEXRYCQKiiIopEQrxdKZc+7iHNrbAtd7L0NnOu/zC4vp6UxzSnjm/zFnhiCOYwHwEBb7BAAMH4IHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASPZYp8AUABxnN4IgqKeR8ljhMdIFceKovR2EKR/+vqKek4lj+AxwsSx8nlFkYJAYShJvb365hutXKmqKr34YrHPr7QFcf9kCChhSedxrIqK9Mi5czpxQtu2ad06dXamB2trtW+fxo4t1mmWOoJHqYsi5fPKZNLxvLtbhw7pwAFt2aKdO9P7ZLOKonSGv3+/7rlHccx6/grYtEOJiuN0Ky4M09R37tSePdq3T7t3q6dHkrLZdN2ey0nSnDmaM0c33SSxe3cVjPAoIck/xiGtHjyoDRvU0aFvv9WZM+nBbDaNXNJdd2nhQs2dq5oa3XLLMJ7uCETwKL5kv71/E05SFOnoUa1fr40b9eOP6uoa+pAw1B136PHHtWCBqqt1883p8VxuYEaAyxE8iibpPIoG9uG6u3XypLZu1TvvqLNT+fzQh9x4oyorNW+eWlt1993KZAa+lc8PesrAFRE8iiDZh0tW4JK6u3XkiA4e1KZN2r49vU8moyhKJ/njx2v6dM2apQUL1Ng46EddcRWAqyF4DJ/+S2X6R+aODu3dq717tWPH0H24REOD6us1d64efFDjx6c/JNmBJ/L/A8Hj+rriCNzZqc2b1dGhr7/W6dPpwYqKgc5razV/vu67TzNmqLIyPdjXpzAcNI3H/4rgcV1ccRz+4Qe99542bdKxY/r99/RgEAxcCV9VpcWLNX++pk4d2G9PduMzGYb0AiB4FFIyaY9jZS9d4dHTo1OntHWr1q7VoUP6+++hDxk3TlOmqLlZTzyhmTMHLpJLLq1jy72wCB4F09c3sA/311/6/nsdOKANG/TRR+kdwnDgcpobbtCdd2rmTD36qBobB03U2Ye7fggeBfb559q/X7t2ads2nT8vXbYPN3u2Zs/WAw+osTHdhxORDxeCx7VK1up//KHXXtOuXfriC/36a/qtUaN08WJ6e8YMNTWpoUGzZunWW9ODfX0DF8ljGBA8rlUS/JkzmjcvfddaGA68U/3227VokZqbNW2abrstPdjXpyBgH64IePMMrlUQKJ/X5MlqakqDr6jQ5MlqblZrq+rqNHFies/+fbj+S+swzAgeBZAM8vffr40bVVenxYvV2Dio6mTAD4KB3XsUBVN6FMyFCwpDjR6dfsnnzJUggkeB8X61UkbwKBheWit9rKhQMKRe+ph4AUYIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4lIUoUj5f7JMYAQgeI18cKwyVydD8PyJ4jHBxrCDQb7/pq69o/h8RPEaypPazZ7V0qRYuVEeHMhlFUbFPq3QRPEa+n37SJ5/o+HG1tGjrVoWh4lhxXOzTKkUEj5EsCBTHqq3Vli2aMkVnz2rRIq1bpyCQRPOXI3iMcEGgMNTDD+uDD1RdrfPntXSpXnlFQZA+HeDfEDxGviBQPq9779X776uuThcv6pln9PzzOneOuf0QQcxfB8pDLqdsVseOafly7dih0aP16aeqr0+PQxLBo6zk88pkdOaMVqzQtGlqa9OYMQrDdG6fLOy9ETzKSxQpDJXLKQwVXlqxXrigsWPTpwNvrOFRXpLX5LLZ9EYupzVr1NysEyeUyaivr9jnV2SM8ChTyRz+1CnV1Ki7W7W1evttTZ9uvqRnhEeZSlbskybphRdUUaEvv1RLi/bvVzbrvG/PCA8Da9fq6afV3a3KSr3+uubNK/YJFQ3Bo6zFsaJImYw+/FDLl+v0aU2YoNWr9dhjymQM9+0JHgaSdfuePVq2TEePStLGjXrkEcN9e4KHh6Ttw4e1ZIkqKvTuu6quVj6vOLYa6gkeNpKX6I8fVz6vqVM9L8Vhlx42wlBRpKoqTZ2qfF5BoJ9/1nPPqbtbcnlrne8LknCUNB9Fymb155966ilt367Dh/Xmm5o40WFJzwgPM8mn38Wxxo9XTY0kbd6sBQv0yy/KZJTLFfv8ri+Ch59k6R6GWrVKK1cqk9Hu3Wpp0ZEjymbLu3k27WAs2cZrb1dbm3p7VVOjN95QfX0Z7+cxwsNYECiX04oVWr1akybpu++0aJE2bCjjj8oheBgLgvQtdE8+qbfeUmWlTp5MU08u0Su77JnSw14cK59XNquPP1ZXl1pbh363jKb3BA9cxWefqa5OY8akS/2yUCa/BlAAyTQ+itTbq/Z2PfSQ2tqUy5XTkp7ggUuST7xOPgOvs1M9PVq1SsuWqbe3bJoneGCwONaoUXrpJS1ZIklr1qi1VV1d5dE8a3jgMslGXS6nZ5/Vyy8rjtXUpPXrNXaspBG9h8e19MBlksE8m1V7uyZM0KuvqqlJ48aVwcX2jPDA1SVD/b59amgo9qkUBsED/1HSfLm8MlcOvwNwHSX/cV1Z1C5GeMBKmTxvAfhvEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyL6kO1dkKaLp5AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [19.75550916470728, -44.77361236083954, -20.36946943309829])", "action": "('move', [19.75550916470728, -44.77361236083954, -20.36946943309829])", "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', [19.75550916470728, -44.77361236083954, -20.36946943309829])", "action": "('move', [19.75550916470728, -44.77361236083954, -20.36946943309829])", "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": "72ff05a08a1e8e87bde3a07105a342fcd09f11ab4e86f593e31eb4f4b155642a"} +{"episode": 33397, "episode_seed": 677882225, "split": "train", "timestamp": "2025-09-15T23:19:24.326702", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 677882225, "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', [-0.13622012521449858, -2.4063009304034475, -13.647241084466222])", "action": "('move', [-0.13622012521449858, -2.4063009304034475, -13.647241084466222])", "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', [-0.13622012521449858, -2.4063009304034475, -13.647241084466222])", "action": "('move', [-0.13622012521449858, -2.4063009304034475, -13.647241084466222])", "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', [-0.13622012521449858, -2.4063009304034475, -13.647241084466222])", "action": "('move', [-0.13622012521449858, -2.4063009304034475, -13.647241084466222])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsElEQVR4nO3c3atldR3H8e9vrb3PGboqoukmE6ZCSYwkHYjSsBt7gAkay0GyVILyKcIa1ItIorlIkqJ8nPBpHB8uRjHTqPwD+gMEb0QvMipQKkeIOWfvvVYX+zQmDCFdOOz9eb3uNuyLH2zee631/a212jiOBWToTvcCgHeO4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4FfSOJ7uFbCaBL96xrFa0zz/D8GvmGXtf/tbtbbzEd4+wa+SxaJaq+eeq7176+67q6paq2E43ctidQh+ZQxD9X398Y91zTX1yit1/XX1wx8M29vVdbVYnO7FsSIEvxrGcefs/Q9/qJdeqs3NGqt+9ON27bcXbxyvvtc8b0sbXQWuiOUPdeJEHTo0HjpUXd9aq8V8+OLnh/semLz//TUM1fkD538S/CpZTuyq6q47xxuuH4fqphs12x73fmJ45LH+wx958wtwSoJfMcufq7V68th45TeGN/7Vb27U1vb4oT3jw0e7T36yhqFakz2n5hRwxSxLHob68qXtmd+2M88YtrZr16720svdvn315JNj19UwGN1zaoJfPa3tTOYv+kz3m2fa3gvGEydqc7Nee60uv7z98pfV928O+eC/CX5VLSfz536sPfFE7dtXW1vjdFpbW/Wd79Qtt1TXuxuPU3ANv9oWi+r7ev31uummuvfe6rpqrRaLuvKKxd2H+127jPF4C8GvvOVu3Hxehw7VrbdWVU2nNZsNX7ikHjjS7d6986cAJfj1cHIH/q67hhtvbFtbbXNXbZ0Yzz+/HnywnXNOzefV9w71CH5dLKd0XVdPHBuuuba9+mrb3KytrdqzZ/zVr+qzn22zWU0mmk9naLcmTo7u91/aHTtWZ581bm3VdFovv9y+cmk99sgwndqrQ/DrZTm6v+ii9tSv24UXjrPZOJ3W3//Rrrq6/fz2YXkl75QumeDXTd/XfF5nnVXHjrX9Xx5ns2Eyqdm83fj9dvPNVZ6ozSb4NTSZ1GJRu3fXo491135rnM+HatVP209+UlddVceP70z1CST49dT3NQy1sVF33tPfemvXdzWf1XRaDz44XnZZvfKnmkxqPjvdq+QdZ0q/5pY33hw+XAcP1vHjyy36Ou+88f776uPntfm8JpPTvUTeQYJff8uqn366rrtu/POf27L5D54xHD5cl3yuGxbVuS0nhlP69TeZ1GxW+/bVE0+2c84ZZ7NxY7P+9Ep34MB49MjQ9TWOxngpBB9hMqn5vPZeUM8+2y789LC9NU436p+v91d/s27/6bDcw9d8AsFHaK0mkxqGOvPMeubZfv+Xhtn22E9qPu++f7AOHhxPnPAyzAiu4bMsZ3jDom64bnHXvV3XtaoahvHyy9vPfla7d5cx3npzhM+y85B8qzvv6X/8o+q6cRhqOm2PPloHDtSLL+7s4bOuHOETjWMtFjWZ1EMP1Q031Btv1PJJm4+ePTx0pJ1/QfMC3HUl+FDLyXzf13PP1ZXfqL/8daf597138fDRdsnnupNvy2SdCD7XySdqn3++DhwYX3ihNjba9nZtTBb33d997Yrl5b1D/VrxY+Za7saNY517bv3+d3XRp4bt7XEyre15f8XXx9tuq/l85wusDcGna63GoT5wRnvq6f6rlw7zWU0m1ffdTTfV975Xr73mBbhrRfBU62qxqHe/px54qLvxu+N8XsNQm5v1i1/U0aPuyVkrgqfqP0/Xvetd7baftttvr74ft7bq4otr//6qchm/PgzteNM4VOuqqo4cqTvuqMcfrz17zO3WiuB5i5PvsV/ecue19mtG8JyCzteVczVOQe3rSvAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5N9EYxiGH8lJQQAAAABJRU5ErkJggg==", "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": "1d06be7ec1e2c4f595c618d40d0a10fcfcdbf31e8dc21ef0cdcdabd5bffcd17c"} +{"episode": 33398, "episode_seed": 3746282736, "split": "train", "timestamp": "2025-09-15T23:19:24.937290", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 3746282736, "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', [20.149592183479133, -18.410594903139103, 23.151292609982118])", "action": "('move', [20.149592183479133, -18.410594903139103, 23.151292609982118])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ6UlEQVR4nO3dT4icd+HH8c/sbtMkpVXTbv6YNO1NT2IRS7z0Vr2IFhVbD4JQtIeeBREPVQQLWgXBQxE9CEXBXETw4MFTI3gQerfV2mTzH02TmqTd2RkPz/ySNNn8TP31183M5/ViGDaT2d3JZt7P9/s8z3dnRtPpNECHpa1+AMB7R/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZGGDn04znW71g4DbzGi6uFlMpxmPM51mNLr+Ap0WM/jJJJcu5a67Nv/b9XVbAUqtbPUDeJdNJllaytpavvWtbGxk797cd1/27Mnu3dm7N7t3Z/fu3Hnn5p84bPqG8q+9hoWxaMEP0b76ag4fzsWLV2+/55687325557ZB6uruf/+7N+fAwdy4ED278+ePe/g61/LRoE5spjBr61lff1tt58/n/Pnr7/zykruvDPbt8+uV1fz4IM5eDAHD+aBB/LAA7n//tx9d5aWsvQ/Bzc3zXs6zWTytjuYIHB7WrTgh8buvTePPJKjR3PpUi5fzptvzi7XGY8zHudf/5r98a9/zZ/+dPXrLC1leTm7dm2yFXj/+7N9+9XLaJTl5eu/+HQ6O1iwsnJ1ewFbazEP2l1x4UKOHcvaWtbWcuxYjh7NiRM5dy7nz+f112fD/nVzgcHQ8DB03/gTWlqa7Qtc2SM4cCC7ds32GobrnTvfg38fvDOLGfyVOfaNA+/gzJmcOpXTp3PqVE6ezJkzOXMmp0/PPjh7NufObfJZy8tZWUmSjY2Mx5vc4e67s3t39uyZHSbcty87duTRR/PQQ7PzArC1Fm1KP7gyxx6W31x7SbKyktXVrK5e/1mXL+ef/8y5c7PLP/6REydms4Pjx3P8eI4d22S/YPheo1Emk1y4kAsX8sorb7vDW2/loYeysTHbWMAWWvDn4KYn2K9M1K/dCiwvZ/v27NuXffuuv/+lS7l4cXZ94ULW1vLaa3nttfz977MPTp68etDuWisr2diYHf9fxIkU82fBg9/UzbYC1/Y/XA/H53fsyI4dV+/5sY/NPphMMh5nYyOXL+fYsbz66mwrMFxOnMilS1lfz969s28KW24x9+HfRdf+eK6szLnFes+ezdpaDh7MBz5gH57bguDfHf+X7QK8ZwT//2jYQVA+tw/BQxFLwKCI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4MtceX9cKjW+XXQ1b3PXzQjfYRjY33gjf/5zXn99qx8NW0bwHSaTjEb54x9z6FA+85mcPr3VD4itIfgC02mWl3PpUp5/PpNJTp7M+vrsdsoIvsaLL+a3v81kkmeeyf79szGfMoIvMBrl8uU8+2zW1/PII/nkJzOdqr2T4BfdMG8/ciR/+EOSfO1ruffejMeC7+S0XIcPfzhPP5033shjj2U6zYr/91KjqSM3i20ySZKlpSRZX88dd5jPNxN8jY2NLC+rvZx9+MW1sZEkL7yQ55+fnZlTez37cgtqMsnSUo4dyw9+kJdeyt/+lmefVTtG+AU1rKU9fDgvvZRt2/LZz85upJvgF9FkkuXlHD+en/wkSb785Tz88FY/Jm4Lgl9Ew9T9l7/Myy9n16489VSWly2tI4JfQMORuVOn8txzGY3yxBP56EfVzkDwi2g6zY9+lNOns3dvvvIV5965QvCLZQj73Ln8/OeZTvP5z+fjH894PFt4Qz2n5RbRtm357nfz+9/nqaeSZDQyvDOw0m6xDP+b8uYmzPQWy5XBfDz2epXcSPCLYlhIe+RIvv3tnDxpIS2bEvxCmE6ztJTxOD/9aZ55Jl/4Qi5fdqCOG3lOLIrhNSp//eskefzx7NhhPs+NBD//hqn7eJwf/zgXL+YjH8kTT8xuh7cT/PwbdtSPHMlvfpMkTz+d1dVsbJjScyPPiUXxne9kPM4nPpHPfc7Yzs0Ifs4NbR8+nCNHsrKSJ5/MffdlPM7y8lY/Mm5Hgp9zw0vW/exnefPNPPxwvvSlTCZeo5Kb8cyYc8NI/o1v5IMfzKc+lZ077b3zv7C0dv5dWWAzpG6xDTcn+IVw7WtRw815isynofCjR/PNb+bFFzMeJ068858Jfm5NJvnd7/K97+XRR/Pyy4Z3boVnyRwaVs6fPZvnnkuSxx/Pgw8a3rkVgp9Dw2G5F17IX/6SXbvy5JPZudPvxnErBD9vht9yP3s23/9+RqM89lgOHfIiVtwiz5J5M4zkP/xhTpzI7t356ldzxx3Gdm6R4OfK8AZSr7ySX/wiy8v59Kdz6FDW1y2k5RYJfq4MZ+N+9ausreWuu/L1r8/eJRJujaW1c2Vo+4tfzFtvZdu2fOhDszEfbo2VdnNrYyOjkdp5R4zwc2gyMZPnv2OEn1tOvPPOmRDOLbXzzgkeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwbv32AC1TrqjYAAAAASUVORK5CYII=", "image_next": "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", "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', [20.149592183479133, -18.410594903139103, 23.151292609982118])", "action": "('move', [20.149592183479133, -18.410594903139103, 23.151292609982118])", "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', [20.149592183479133, -18.410594903139103, 23.151292609982118])", "action": "('move', [20.149592183479133, -18.410594903139103, 23.151292609982118])", "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": "201387ada44511b51560a35877b95cf4fd4e2980a6e9b065339386445e9b5947"} +{"episode": 33399, "episode_seed": 2617434951, "split": "train", "timestamp": "2025-09-15T23:19:25.546734", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 375, "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": 2617434951, "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', [0.08567054178458351, -3.491818390640018, -29.948196810388918])", "action": "('move', [0.08567054178458351, -3.491818390640018, -29.948196810388918])", "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', [0.08567054178458351, -3.491818390640018, -29.948196810388918])", "action": "('move', [0.08567054178458351, -3.491818390640018, -29.948196810388918])", "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', [0.08567054178458351, -3.491818390640018, -29.948196810388918])", "action": "('move', [0.08567054178458351, -3.491818390640018, -29.948196810388918])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALTklEQVR4nO3dXYhVVQPG8Wfvc8axSRnUpLqo6MsMLbMPI4xyoGIsMBOjpiLFSOkDMzFELftOTCQtCmlAikwJKmWiMY2jiSZOGVbYnTfdeGEZpY0zo/vs3cVe6qtYOubbzDnP/3eVjhcbVv9Z66y9zt5RlmUC4CHu6QsA8N8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIweM0pWlPXwG6j+BxmuJYhw4py3r6OtAdBI/TceiQ9uxRTY2iiOYrCcGje/K8d+7UnXdq3jzt2UPzlSTKGCt03wMPaNUqSbrwQpVKuuwypalipo9ejyFCN2SZskzffaePPlJNjSQNHarBgyUpinr20nBKCB7dkGWKIr3yitJUWaazztLMmaqvV7lM8JWB4HGq8qq3bNG6dYpjJYkaGzV6NIv5SsJA4VRFkaJIb7yhjg5J6t9fkyapXz+m90pC8DglSaI4Vqmk9esVRUpT3Xyzxo5VkoQP86gIBI+TyzLFsdJUzc36809JqqvT9Onq04e5vcIQPE4u/5S+caNaWsLH9dGj1dioclmFQk9fHLqD4HFycayDB/Xuu+roCFP688+Hv0dlYcRwEvmtuG++0Zo1KhRULuuuuzR6tMS99wpE8DiJ/OTsokU6eDAUPm9eOIGDikPw+Cd51Vu26LPPVCgoSXTffbr2Wub2SkXw+Cf5TP7yy2Fh37evnnhCffpw771SETz+VrmsONa6ddq0KRytmzhRN9zA0boKxrjhxPIpPUm0dGn49D5ggCZNUt++SlOm90pF8Dix/Gjd2rXatClszt92m269VUmiYrGnLw6ni+BxAlmmYlFdXWpuVkeH0lT19XrsMU7RVjyCxwnki/Yvv1Rrq+JYWaYxY9TQoHKZ6b2yETyOl6YqFNTZqWXLwm58ba2ee07iaF3lYwBxvHxD7quv1NoaPr3ffbeuu+7oj1C5eKYdjnFkc76xUaVS+G7M9u26+urwfXhUNGZ4nECppFJJxaLKZT38sEaMUBxTezUgeBwjP1r30kvhv2tr9fjj4YkXqAIEj6Pyo3Wffqq2NsWxymVNmqRrrgnrfFQBgscxOju1ZInKZUkaNEiTJ4eFPcFXB4JHkCQqFLR6tbZvDw+0GjdOo0ZxtK6qEDykww+x2r9fy5ers1NZpnPO0bRpKhSY26sKwUM6HPzatdqwQYWCskyNjbrxxjDto2oQPJRlKhS0b5+WLQuvlOnfX7NnSxytqzqMJyQpilQqaeNGFQpKU917r4YPlwi+6nDSzl1+y62zUw0NamsLJ+d37NCQIRJnaasOv8Dd5Um3tmrbtjC9T5miK67gIG11YoZ3l4//yJH68UdFkfr109atGjaM51hVJ4bUWv699xUr9MMP4d77lCkaNoyjdVWL4H3lx+bb27VkSfjj4MGaPFkST62rWgTvK7/HvnKlfvopTO/3368RI3hjXDUjeFP5vfffftP776urS1mm887To4+GH6FaEbyp/KG0a9aorU3ForJM48frqqs4OV/lGFtHaaqaGv3+u5YvV5IoijRwoGbODO+BRxVjeE2lqT74QF9/rdpaZZkefFCXX07w1Y/htZNXne/P19Soq0v19Zo1i9otcPDGUX6bvatLW7fq7bc1fLheeKGnrwn/CYJ3d+CA4li1tdx4t0DwvrIsvHMCPgjeXT7+TO8muC3njtStsC0LGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDz+D9KUt8z3TjyXHmdUmkoKb6VMU15P2dswHjhzkkRxrDjWtm0qlcJLatGbEDzOhCzToUMqFvXHH1q4UGPG6KGHtHOnJJXLPX1xOIolPf61/O3TNTXasEGvvqoNGyTp7LO1bx8vsupteJkkzoTOTr34opqbtXevJD3yiObM0aWX9vRl4XjM8PgX8rl90ybNmqXt2yXpkku0cKHGj1exGH6K3oQZHt2XpuHN8lmmONbYsfriC/Xtq6YmLVigc88N/4Yt+t6HGR7dVC6rUAgx57PF4sXq6NC0aWpqCn8ZRdTeOzHDozvy2nfv1ltv6Z57NGpUmMkPHFBdncplxTHL+N6M4HFqjnwg//hjvfaaduzQLbdozRrV1yvLVCgoSVRkwdjbMUI4mTz1KNIvv2juXH34oTo6VFurm25Sv37hdE2WUXtFYIbHKUgStbRo9mzt2iVJI0dq8WI1NPT0ZaHb+K2Mv3FkJti7V3PnqrlZkgYM0NSpmj9fdXU9eGk4bQSPE0lTRVG469berpYWSWpo0Jw5uv328A/Yh69ALOlxrONOy+R/XLdObW168kkNHBjOzLMVX5kIHofl/yfkJb/5pj7/XO+9p/PPD7ficmzFVzhWZZAkJUnYit+1SxMmaMYMrV+vpUslhU34LFOaUnulY/wglcsqFtXerhUrNH++9uyRpDvu0IQJko6epWEZX/lY0kOS9O23WrBAq1dL0gUX6OmnNWNG2Lej8yrCDO8t32xftUqzZmn3bkmaOFFz52rkyLCGZyu+uhC8peNKvugi7d6twYO1YIGamlRXF7biqb3qsKQ3k99gjyLt36+DBzVoUFi0t7RoyBANHSrpmG15VBeCd3Lkplpbm556SgMHauVK9e9/dFvuf+/MoRqxpLeRf7/l11/1zjt6/XW1t6tPH33/vcaMUZKEKZ3Uqx3BG8gX7Wmq1lYtWqTNmyXpyiv17LO6/vrw5VZS90DwNuJYn3yizZsVx5o2Tc88o4sv7ulrwn+N4A1EUdiHmzpVP/+s6dM1blx4ZAVzuxk27Vxxj90SQ+4n/xVP7ZYYdT+s4Y0RPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIX4mbjF1MmglUAAAAASUVORK5CYII=", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAISUlEQVR4nO3cXahlZR3H8f9a++wxkVEvehljCCnK0XutNAqsILQLHQb0JhUhKERy0hl1Rp3MPDPqOGYaSkX0gncOYYFYEVTaCBYR+JKXJfhC5oUyw3jO2Xs9XeyZo4ZlljRnzu/zuTzsi3Vxvvt5nv9aa3ettQIy9Ef6AoD/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHzDhuGI30F/GuC5x0zDNVa9X0dPFhbt9amTTWdVlW1dqSvjMMEzztjaan6vrqu9u1rn/n09Lbbau/euueemk6t+StI13z98r9prabTmpurF//W7v52t2t+WJz0x7yrFl6tdevq0Ufr5JNrGKq3uKwAc0f6Aji6tVZdV3Nz9eCDbf7m9rt91XX9eFwLr7b3n9Su3dafeOKhz7ASWOH5Ly1nvH9/bd82/OCH/Suv1HhNLS1WVV14wbBjR7fh1O71n+SIEzxvW2s1DDUaVVX9/Bf11a8MTz3dVXX9qIZpve8901t39xde2K1ZU9PpoYM9K4TgeXum0+q66vt6/vnatavuuqtaqzVranGx1ozb+efX7tu79euryrl9JRI8b8NkUnNzVVU/2duu39E9+WSNRtVVTaZ12qnDlqvqkkv7sodfwQzt+E/NRvF//UvNz7fvfLdVdeNxLS1VVX3xi+2aq/sPfsgefqWzwvMWZv8gs4Z//KNh587689PdaNR1XU0mdcopNT9fGzdWVU2Wam58JC+VtyR4/p3lc/izz9aWLW3v3lpc7GYn9q4bvvyluv6Gft26N4zxWMkEz5tbfpxmYaHuv7+u2jx94cVR31dr1Vo7dUPbfXt/zjlVVcNQXWcbf3QQPG9i+Sj+1FM1P9/uu6+rmo3i29q13cVfGL4x359wQpX53NFG8Pyz6fTQ5vzee2vnznrmmRqPazqpobUzP962be/OPbcrd92OToLnNcvL9RNP1PZt7ac/66pqNoofdcO127vLLqt167rJpEYjC/tRSfBUvXEU/807hltu7V94oY1G3ez91jPOqD23t7M+0VXV0lKNjeKPWoLntcdpHn+8rtw8/eWv+qpu9lT82rW1eXNdc00de2yVbfzRT/DRlkfxL79c3//ecMPXav/+/vDjNO1Tn6z5+XbmWR6eWz0En2t5uX7kt+3mnfXQQ63qUO3vffdwxRV15ZZ+9gKMG+yrhuBDzWpfWKhdu+ruu9rfX+oOv9k6fP7c7rrr6qMfM4pfhQSfpbWqVt1sYX+krr669u2rOjyKP/H49vWb2iWXdGuPN4pfnQQfZPmRuAP7a+eu2rOnHTzYzc3VZFJd1z732WHPnaMNG6qqppMaea9qNRJ8iuXbab/5dbtqc/vDn/qqGo1qOq3162vr1rr88kOfNJ9bxQQfYXYUf+659q07a/fumg7dMcfUwkJV1aZNdeONddppVVIPIPgUDzzQ5ufbY49V1/WjUU0m7eQPDNfv6C+9tKvX3YpndRP8KjdbtG+5pW66qQ4cWP6RyeGii7rrtteHP9J5szWKb/UIp59eBw5UVS0t1vqTprvv6Ddu7Mbjmo3i1Z7DPdZVbnYmP/vs2rGjjjuuLr64/f6Powsu6MbjGoaam3Noz2JLv/rNdvUvvVQPP1znnffaXwgk+Cx+nSacLX2K1moy8ZOy6azwEMQKD0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+AQbVALgKspS9AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "4081b52203be6940217f3a7950a2241529ee0af2e1638797eec3b6ce4972117b"}