diff --git "a/train/batch_000082.jsonl" "b/train/batch_000082.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000082.jsonl" @@ -0,0 +1,100 @@ +{"episode": 8200, "episode_seed": 455545294, "split": "train", "timestamp": "2025-09-15T22:47:58.753697", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 455545294, "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', [-7.064435604031523, 0.5369542319291638, -25.01182076576535])", "action": "('move', [-7.064435604031523, 0.5369542319291638, -25.01182076576535])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-7.064435604031523, 0.5369542319291638, -25.01182076576535])", "action": "('move', [-7.064435604031523, 0.5369542319291638, -25.01182076576535])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKeElEQVR4nO3cb6jedf3H8df5M+2PGHajQqKVSgwnWgimMHGlKAQmRYkG1Y1uFBvqRKdzpEUgg2wz2apRUTe6ExSSEhbmhhUVwrIRu7GcCcZKuqFkf2xt5zrX78Z17ez8lubM4852Xo8H586ufc/h4jrX8/v5fN/XdZ2J4XAYoMPkYt8B4PgRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBRZusHPzmZmJsPhYt8POIFMDJd2EsNhZmYyOZmpqcW+K7D4luIKPzqFPfVUHn00g0GWLcvUVIbDzM4u9j2DRbYUgx8MkmT79nz0o3n/+3PLLdm5MxMTmZw8ssMfDsdfnJD8Zl4jS3FLPxhkaiqrV+dnPxvf8sY35swzs3ZtbrrpRQ6emBh/cQIYnYdHJ+cXXsgb3uA3s5CW4go/ulz/0Y/ywAP5xCfyzndmMMi+fTl48Mgxe/fm6afHp4bJyUxM5NChDAZWlsU1Ov1OTuYvf8lnP5vLLsszzyRxNbZgluIKf5QDB/Lww7n//nzhC1m+PBMT2b8/q1blwIF87GO57LKce25WrMjkUjz3nTxG09Vly3LoUH7wg9x5Z/7whyS59dZs2pSpKev8wljSwc/tDufMzGR6Ojt35tpr8+yz4xvPOiurVuV978vFF+e883LKKePbZ2dt9Y+PuUd6165s3pzvfS9JTjklBw9maipPPJGzzspw6FexAJZ08COj+fxoXJ9kYiLPP5/du/Ob32THjuzcmQMHxkcuX55Nm3L99eOt/lE/ZPS9LKi5x3VmJl/6Ur7+9ezfn+npDIcZDHLeefn853PVVTntNI/9wigI/r94/vn86U/59a/zwx/mJz/J7GwefTSXXprhMP/+d7ZuzQc+kAsv/H/fYtlfIPNPoT//eW67LY89lmS8q1+2LOvX54Yb8ra3LeadXHoqgx+t+aPp0MjMTJ55Jrt25cMfzuxsJifz/e/n2muzbFnOPTfXXJOrr87ZZ+eMM17kR4n/lZvbQj37bO6+O9u25dChTE9nZiZJLrkkW7bk4ovHR46GqiyIyuDn/OdFfg4/Gb/xjWzZkn37jgyIL7ggV1+d1atz4YV505vGN87OZnZ2POrnGMwfzj3wQDZuzL5943PvYJB3vCNr12b9+nHhTqcLrjv4oxz1/Przn7NjR375yzz+eHbtGu9BTz01P/1pLr10vBGYMzMzftp6hr60ueuh3buzZUu++93k8HAuyfXXZ8OGnH9+IvXXjOBfwvy53f79+e1v8/jjuf/+vPnNefDB8RBp9+7cfXeuuCJXXJGzzx4f7Kn6EkYPzGCQe+/Ntm15+ulMT4/f+rByZT73uVx3XZLxBTyvEcG/tNFsf2Ii09PjW/bvz2CQ5cvHT96bb85XvpIky5dnxYp88IO55posX7549/hENH8496tfZcOG/OIXyeHhXJJbb81NN+Xtbx+PVnzK6TUl+GMwulCfnBzv4efW8O98J9/8Zvbsyd//Pj7y9NNzwQW57rp88pM57TSr/dw+6bnnsmlTvvrV/OtfR1K/6KJs3pxVq8ZHuh46DgT/SowGeEfN5558cvyq3u9/n/37k2TlyuzYkbe+9ejr/CZzw7mZmTz0UG6/PXv3JsnUVAaDnHlm1qzJ7bePN0/Fj9PxJvhXZ/4avndvHnkkjzySyy/PDTcc/b9N5oZze/bk3nvz7W8n8/bwH/lI7rwz73lP0vsILRrBv2qjS8/h8Mil/oEDed3rap/Lo+V6OMx992Xr1jz11Pid8DMzWbEiGzbkU59KDr/LmeNM8AtnNORrfU1+/nDusceycWN27kzmveq2bl1uvDHvepfh3GIS/EKrfNf93HDuH//Ipk3Zti1/+9uRd869973ZvDmrV4/XeR99W0SC51UZfcpl9Ir6ww/nttuyZ09yeDj3lrdkzZrcccf4I4iGc4tO8Pzv5oZze/fmvvuyfXsybzj3oQ/lrrvGHz5qHWiccATP/2huG799ezZvzpNPjv85GOTd78769fn0p8d7eMO5E4fgecXmlutdu3LXXfnxj5N5C/vatVm3Luec8+IfTWJxCZ5XYO4i/IUXsmlTvva1PPfc+HI9yfnn58tfzuWXZ3LScO4EJXiOydxwbnY2O3fmllvyu98lh4dzZ5yRtWuzcWNe//rEcO4EJnhe3txLjfv2ZevWbN2azHuB/aqr8sUv5qKLxkda1U9kgudlzDX8rW/lnnvyxBNH/ubcOefk5puzZk2SF/k7gJyAzE95GRMT+ec/8/GP58EHk3kL+2c+k3XrsmKFd86dTATPyzv11PFLa5OTOXgwK1fmnnty5ZWZmhr/LTq1nyxs6XkZoy39H/+YSy7JX/+aG2/MHXfk9NMT2/iTkOA5Vg89lOnpXHllUvqJgaVA8Lwy5vAnNdfwHKsX/Xs/nFys8FDE6RqKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6K/B9wp93/EEahxAAAAABJRU5ErkJggg==", "image_next": "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", "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', [-7.064435604031523, 0.5369542319291638, -25.01182076576535])", "action": "('move', [-7.064435604031523, 0.5369542319291638, -25.01182076576535])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "e8de30d657d8c3c7a171c2cc9f91d5acc321341e7f1ebed8f0d0b58adb7ae330"} +{"episode": 8201, "episode_seed": 2996933276, "split": "train", "timestamp": "2025-09-15T22:47:59.364743", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2996933276, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.766293820195877, -20.60641812945992, 41.924011585699795])", "action": "('move', [-14.766293820195877, -20.60641812945992, 41.924011585699795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.766293820195877, -20.60641812945992, 41.924011585699795])", "action": "('move', [-14.766293820195877, -20.60641812945992, 41.924011585699795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.766293820195877, -20.60641812945992, 41.924011585699795])", "action": "('move', [-14.766293820195877, -20.60641812945992, 41.924011585699795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "a3e26d80281487204ff515c1d35fae8abc5c3d1185f5c563f222a330dae35a8a"} +{"episode": 8202, "episode_seed": 3201775633, "split": "train", "timestamp": "2025-09-15T22:47:59.977295", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3201775633, "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', [-13.249356479412953, 6.398556115030087, -32.50794659435842])", "action": "('move', [-13.249356479412953, 6.398556115030087, -32.50794659435842])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJz0lEQVR4nO3cTYjdV8HH8d+98yIq2FporRa1dNGonSjiwoIi0lpwIYL40oJKIbUoiDTGliKYSEFbJfheragLBReJzqLWiFWoUrIwEBGxCG5cFANdtVJtos7cudfFvU/atD48j5q5dya/z2cVZobcs/nOOed/zn8Gk8kkQIfhogcAzI/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoUhl8JPJokcAi1EW/DT1wWDR44DFqAl+MsnWVgaD/OUv+eUv89RTsy9Ck47gx+MMBllayiOP5Kabct11+e53s7W16GHBvBUEP5lkOMzGRu67L9ddl5/+NEn++MdsbMy+CzWWFz2AbTad23/3u9x9d44eTZKXvzyf+lRuvTWDQSYT+3mqXKDBny15PM7yciaTHDuWJO9+d+66K9dcc87PQI3B5MJb047HGT5jq7K1laWlfOMbmUyyb1+e//yMRllaUjuFLrjgNzezspLJJOvr+fnPc999WT53FfOsXwfQ5AJa0k8P3lZWcupUDh/OV7+aJGtrue222SSf/3mAB60ulOCnG/Ll5Rw7lrvuyq9/nSRveUuuvvqcvbplPN0uiOCnSf/tbzl4MN/8Zk6fzupqDhzIxz+eyy5LdA4zuzz4ySTjcZaWcvx4PvGJnDyZJHv35gtfyA03JMlo9Ow9PBTbtRvas1dlpw8dT53KyZNZXc1HPpKHH84NN8x+F6gdnmF3PqU/+6R9PJ59ZTjMHXfkta/NBz+YOGOHf20XBj9dpW9u5stfzpkz+fSnk2cULnX43+2qFe9kkskky8t55JEcOpT770+S178+73zn01P99PgN+Fd2T/DTqXswyLe+lc98Jn/6U5K8971ZW0uS4dDEDv+nXbWkP3Uqt9+eH/4w43Fe/OJ89rP50IeysrLoYcGusRtm+Ok9ufvvz/79efTRJHnb2/LFL2bv3sSmHf4NOzj46cHbcDg7eDt+PI8+mksuye235447srw8e1avdvh/26lL+mfO29N/b2zkzjvzjnfk+utnT+/ciod/084L/mzqTz2VT34ya2v58Ieffvsl8XIr/Md22JL+bNjHj2f//vzmN7n88rz1rdmzZ/atrS2X5+A/tpPimSb95z/na1/L5z+fM2fyghfkXe/KS16SZLaZd8wO/4UdtqT/1a9y8GAeeihJ9u7NoUN5z3sWPSa4cOyAGX66aR+Pc/hwDh/O448nyS235ODBvPKV5+zegf/ODgh+MJgdvz38cB5/PFdembvvzk03ZTDwciucXztjST+d5E+dyuc+lwMHctVVScztcN7tjOCfZfrH5B28wfm28xbMbtTAttl5aZnYYdvsvOCBbSN4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ42BbjcSaTRQ/iOZYXPQC4AI3HGe7IyXRHDgp2s2ntTz6ZjY1MJjtrnhc8nE/T2n/721x/fb797QwGix7QuSzp4byZTDIc5he/yAc+kMcey+9/n0svzfvet4NW+DtjFHBBmM7nJ07ksceyupq//z0335yf/SzDYUajRQ8uSTKY7KgdBuxm05hGoxw4kHvvzfOel3/8I5demh//OG98Y7a2srS04BEKHs6n8ThJTp/Orbfm6NEsL2c0ypVX5tixXHPN4psXPJxn43EGgzzxRG68MQ89NGv+1a/OsWO56qoF7+cFD+fftOonnsjb356TJ7Oyks3NXHttfvSjXHbZIpv30A7Ov+Ew43EuuSTr69mzJ5ubWV3NiRO5+eacOZPhcGGH84KHbTFt/hWvyPp6rrgiGxtZWsqDD+aWW3LmTJLFNC942C7T5tfWsr6el74043GWl3PkSO68M6NRxuPZE765DmneHwhNhsNsbeXaa/Od7+SiizIeZ3U1X/967rln9rh+zvO8h3awvSaTjEZZWcn3v599+zIaZXk5Sb70pXz0o7Pg53YDV/AwD9MT+K98Jfv3z/IeDvO97+X975/r4bwlPczDNOnbbsuhQ5lMsrSUra3s25ef/CRLS/O7eGuGhzmZvio7HOZjH8u992ZlJaNRLr44DzyQN7/56aX+thI8zM9kkvE4GxvZty9Hjszm+Ze9LA88kDe8YR5re8HDXE0v3v71r7nxxjz44OwS3qtelfX1vOY1syXA9rGHh7maHs6/6EU5ciRvelM2N/PCF+YPf8iJExkMsrW1zZ++vf898BxLSxmPc9FFOXo0a2s5fXp+l20FDwswLfyKK7K+nquvnl3ImcfnzuNDgOcYDDKZZM+e/OAHufjiPPnkPD7U37SDhRkMMhrlda/LPffk8suTbPtrs57SwyKd/TvW01drtpvgoYg9PBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5JwOtXEl01gxMAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [-13.249356479412953, 6.398556115030087, -32.50794659435842])", "action": "('move', [-13.249356479412953, 6.398556115030087, -32.50794659435842])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALH0lEQVR4nO3da4hVVQPG8Wefc8acKCOHLghWpBTkTBBRVGTUlEZh3ipxAruopVCRmhJBYwglhRSRqOWHSiIkkppBwywidLIwu6FYRoqIgwUliZrpzJy93g97v6a+vs61zt7z/H+fxjN+2B/2f9a+rLVOFEIQAA+FSh8AgH8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YMQy+BAqfQRAZZgFn6QeRZU+DqAybIIPQeWyokgHDuizz3ToUPoh4MQj+DhWFKlY1NatmjxZ9fV66y2Vy5U+LODfZhB8CCoU1NamZctUX6+1ayVp5061taW/BWyUKn0A/7BkbN+yRQsX6t13JWnoUD3zjB5+WFGkELifh5V+GvyxkuNYpZJC0Jo1knT33VqwQCNGnPB/ABtR6H/XtHGswnG3KuWyikUtXaoQNHWqqqvV0aFikdphqN8F396uqiqFoFWr9PHHWrZMpROvYk76cwA46UeX9MmLt6oqtbZq0SK9+qok1dbqiSfSQV7/fYAHuOovwSc35KWS1qzRggX6+mtJuukmXXbZCffqXMbDW78IPkn6r7/U2KjXXtOff2rAAM2Zo9mzdf75Ep0DqZwHH4LiWMWiWlr05JPavFmS6ur00ksaNUqSOjpOvocHjOX2hvbYVNnkoWNrqzZv1oABmjlT69dr1Kj0bwG1A8fJ51P6Y0/a4zj9pFDQvHm68kpNmSLxjh04tRwGn1ylt7frlVd0+LCefVY6rnBSB/6/XF3xhqAQVCpp61bNn6+mJkm66iqNHfv3UJ+8fgNwKvkJPhm6o0jLl+u557RnjyTde69qayWpUGBgBzqVq0v61lbNnav33lMc69xz9fzzmj5dVVWVPiwgN/Iwwifz5JqaNGuWdu+WpNtu08svq65O4qYd6IYMB5+8eCsU0hdvLS3avVuDB2vuXM2bp1IpfVZP7UCXZfWS/vhxO/m5rU1PPaUxY3TrrenTO2bFA92UveCPpX7okJ5+WrW1mjHj79UvEotbgR7L2CX9sbBbWjRrlr79VhdeqJtv1uWXp78ql5k8B/RYluJJkv7jDy1erBdf1OHDOvNMTZigCy6QlN7M85od6IWMXdJ/+aUaG/Xpp5JUV6f583XPPZU+JqD/yMAIn9y0x7EWLdKiRdq3T5KmTVNjoy6++IS7dwC9k4Hgoyh9/bZ+vfbt0yWXaOFCTZ6sKGJxK9C3snFJnwzyra164QXNmaNLL5XE2A70uWwEf5JkM3levHVNHKd/G5mXgE5lL3imyvZUsmEvcBrZGxSovcvKZYWgr77S669rzx5qR+eyFzy6LLkYWrxYM2dqzBjNn8+X4qITBJ9XyZzDbdu0caOKRW3ZorVrNXBgutMfcEoEn1fJML56tXbtkqSqKj32GC8x0QmCz6VkP95ff9WqVek/hw7VpEmsIUQnODtybONGffONikWFoClTVF3NKw50guDzJxnGjxzRO++kG/NXV2vqVEkM7+gEJ0guhaDt2/XhhyoWFceaNEkXXVTpY0IeEHz+JLMQ33hDbW3pz488km4CBJwewedPCPr9d61YoUJBHR0aPVq1tdy6o0sIPmeSdQZvvqkDB9Ib+IYGDRqUfg6cHsHnz9GjevttSSqXNWKE6usrfUDID4LPk2TfgNWr9dNP6QP5ceM0dKg6Ong+jy7hNMmNY8/kVqxQW5tC0JAhGj9eYsERuozgcyNZ9P7559q0Kb17v/56XXMNwzu6gTMlN5LIm5r022+SNHCgHnoo/ZwRHl1E8PkQxyoWtWuXmpslKQSNGKHbb08/B7qI4PPkk0+0Y0da+IMPsjYO3Za9La7wP5IlMfv3a9w4tbQoijR4sHbu1NlnczGP7mGEz4cQ9N132rAh/dbcadM0aBC1o9sIPgeSx3LLlklK18bdf3/6M9AtBJ8PO3aouVnFojo6NH68hg2r9AEhnwg+6+JYkpYvV1tb+klDg844g73r0BMEn2nJ47qDB7VyZfqVXDfeqBtukNjrAj3CWZNpyRq4FSu0d68KBRUKmjhRNTVqb2d4R08QfNYdOaKVKxXHimMNH6677mKnSvQcJ052tberWNS6ddq6NZ1Xe8stGj6cb9lEzxF8diXb0TY16eBBSRo0SA88wL606BWCz6hk6fuWLVq3Lh3er71W112nEBje0XMEn1FJ5GvW6JdfVCgoijRjBmM7eou59FmUXLfv3avRo/XDD5I0bJh+/JHVMugtRvjs+uILbdumUkkh6PHHqR19gOAzJxneOzq0ZEk62aamRhMmpL8CeoPgMypZG5d8scx992nIEIm969BrBJ9RS5YojtM5Ng0NKhZVLlf6mJB/BJ8tyUX73r364IP0en7sWNXVMbsOfYOTKFuSNXBLl+rgQUWRqqo0YYLOOou1cegbBJ8hyTC+f7+amxWC4lh1dbrjDoZ39BnOowxJdphvatLPP6fj+Z136rzz0ll3QO/xbjcrQlCppHJZ77+vo0clacgQNTQweR59iYEjK5K79A0b0n1po0gjR+qKK1gbh75E8FlRKCgErV2r/fsVRSqV9OijkqgdfYm59JmQDOPff6+RI3X4sKJIV1+tTZsqfVjodxjhMyG5S6+p0cSJqqpSuazZsxUCc2nRxxjhs6Vc1vbt+ugjTZ+uc86p9NGg3yH4DOGBPP5pXNJnSLLpRbIRPfBPYIQHjDDCA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH1Oa0yEXa3vjAAAAAElFTkSuQmCC", "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', [-13.249356479412953, 6.398556115030087, -32.50794659435842])", "action": "('move', [-13.249356479412953, 6.398556115030087, -32.50794659435842])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALH0lEQVR4nO3da4hVVQPG8Wefc8acKCOHLghWpBTkTBBRVGTUlEZh3ipxAruopVCRmhJBYwglhRSRqOWHSiIkkppBwywidLIwu6FYRoqIgwUliZrpzJy93g97v6a+vs61zt7z/H+fxjN+2B/2f9a+rLVOFEIQAA+FSh8AgH8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YMQy+BAqfQRAZZgFn6QeRZU+DqAybIIPQeWyokgHDuizz3ToUPoh4MQj+DhWFKlY1NatmjxZ9fV66y2Vy5U+LODfZhB8CCoU1NamZctUX6+1ayVp5061taW/BWyUKn0A/7BkbN+yRQsX6t13JWnoUD3zjB5+WFGkELifh5V+GvyxkuNYpZJC0Jo1knT33VqwQCNGnPB/ABtR6H/XtHGswnG3KuWyikUtXaoQNHWqqqvV0aFikdphqN8F396uqiqFoFWr9PHHWrZMpROvYk76cwA46UeX9MmLt6oqtbZq0SK9+qok1dbqiSfSQV7/fYAHuOovwSc35KWS1qzRggX6+mtJuukmXXbZCffqXMbDW78IPkn6r7/U2KjXXtOff2rAAM2Zo9mzdf75Ep0DqZwHH4LiWMWiWlr05JPavFmS6ur00ksaNUqSOjpOvocHjOX2hvbYVNnkoWNrqzZv1oABmjlT69dr1Kj0bwG1A8fJ51P6Y0/a4zj9pFDQvHm68kpNmSLxjh04tRwGn1ylt7frlVd0+LCefVY6rnBSB/6/XF3xhqAQVCpp61bNn6+mJkm66iqNHfv3UJ+8fgNwKvkJPhm6o0jLl+u557RnjyTde69qayWpUGBgBzqVq0v61lbNnav33lMc69xz9fzzmj5dVVWVPiwgN/Iwwifz5JqaNGuWdu+WpNtu08svq65O4qYd6IYMB5+8eCsU0hdvLS3avVuDB2vuXM2bp1IpfVZP7UCXZfWS/vhxO/m5rU1PPaUxY3TrrenTO2bFA92UveCPpX7okJ5+WrW1mjHj79UvEotbgR7L2CX9sbBbWjRrlr79VhdeqJtv1uWXp78ql5k8B/RYluJJkv7jDy1erBdf1OHDOvNMTZigCy6QlN7M85od6IWMXdJ/+aUaG/Xpp5JUV6f583XPPZU+JqD/yMAIn9y0x7EWLdKiRdq3T5KmTVNjoy6++IS7dwC9k4Hgoyh9/bZ+vfbt0yWXaOFCTZ6sKGJxK9C3snFJnwzyra164QXNmaNLL5XE2A70uWwEf5JkM3levHVNHKd/G5mXgE5lL3imyvZUsmEvcBrZGxSovcvKZYWgr77S669rzx5qR+eyFzy6LLkYWrxYM2dqzBjNn8+X4qITBJ9XyZzDbdu0caOKRW3ZorVrNXBgutMfcEoEn1fJML56tXbtkqSqKj32GC8x0QmCz6VkP95ff9WqVek/hw7VpEmsIUQnODtybONGffONikWFoClTVF3NKw50guDzJxnGjxzRO++kG/NXV2vqVEkM7+gEJ0guhaDt2/XhhyoWFceaNEkXXVTpY0IeEHz+JLMQ33hDbW3pz488km4CBJwewedPCPr9d61YoUJBHR0aPVq1tdy6o0sIPmeSdQZvvqkDB9Ib+IYGDRqUfg6cHsHnz9GjevttSSqXNWKE6usrfUDID4LPk2TfgNWr9dNP6QP5ceM0dKg6Ong+jy7hNMmNY8/kVqxQW5tC0JAhGj9eYsERuozgcyNZ9P7559q0Kb17v/56XXMNwzu6gTMlN5LIm5r022+SNHCgHnoo/ZwRHl1E8PkQxyoWtWuXmpslKQSNGKHbb08/B7qI4PPkk0+0Y0da+IMPsjYO3Za9La7wP5IlMfv3a9w4tbQoijR4sHbu1NlnczGP7mGEz4cQ9N132rAh/dbcadM0aBC1o9sIPgeSx3LLlklK18bdf3/6M9AtBJ8PO3aouVnFojo6NH68hg2r9AEhnwg+6+JYkpYvV1tb+klDg844g73r0BMEn2nJ47qDB7VyZfqVXDfeqBtukNjrAj3CWZNpyRq4FSu0d68KBRUKmjhRNTVqb2d4R08QfNYdOaKVKxXHimMNH6677mKnSvQcJ052tberWNS6ddq6NZ1Xe8stGj6cb9lEzxF8diXb0TY16eBBSRo0SA88wL606BWCz6hk6fuWLVq3Lh3er71W112nEBje0XMEn1FJ5GvW6JdfVCgoijRjBmM7eou59FmUXLfv3avRo/XDD5I0bJh+/JHVMugtRvjs+uILbdumUkkh6PHHqR19gOAzJxneOzq0ZEk62aamRhMmpL8CeoPgMypZG5d8scx992nIEIm969BrBJ9RS5YojtM5Ng0NKhZVLlf6mJB/BJ8tyUX73r364IP0en7sWNXVMbsOfYOTKFuSNXBLl+rgQUWRqqo0YYLOOou1cegbBJ8hyTC+f7+amxWC4lh1dbrjDoZ39BnOowxJdphvatLPP6fj+Z136rzz0ll3QO/xbjcrQlCppHJZ77+vo0clacgQNTQweR59iYEjK5K79A0b0n1po0gjR+qKK1gbh75E8FlRKCgErV2r/fsVRSqV9OijkqgdfYm59JmQDOPff6+RI3X4sKJIV1+tTZsqfVjodxjhMyG5S6+p0cSJqqpSuazZsxUCc2nRxxjhs6Vc1vbt+ugjTZ+uc86p9NGg3yH4DOGBPP5pXNJnSLLpRbIRPfBPYIQHjDDCA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH1Oa0yEXa3vjAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALH0lEQVR4nO3da4hVVQPG8Wefc8acKCOHLghWpBTkTBBRVGTUlEZh3ipxAruopVCRmhJBYwglhRSRqOWHSiIkkppBwywidLIwu6FYRoqIgwUliZrpzJy93g97v6a+vs61zt7z/H+fxjN+2B/2f9a+rLVOFEIQAA+FSh8AgH8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YMQy+BAqfQRAZZgFn6QeRZU+DqAybIIPQeWyokgHDuizz3ToUPoh4MQj+DhWFKlY1NatmjxZ9fV66y2Vy5U+LODfZhB8CCoU1NamZctUX6+1ayVp5061taW/BWyUKn0A/7BkbN+yRQsX6t13JWnoUD3zjB5+WFGkELifh5V+GvyxkuNYpZJC0Jo1knT33VqwQCNGnPB/ABtR6H/XtHGswnG3KuWyikUtXaoQNHWqqqvV0aFikdphqN8F396uqiqFoFWr9PHHWrZMpROvYk76cwA46UeX9MmLt6oqtbZq0SK9+qok1dbqiSfSQV7/fYAHuOovwSc35KWS1qzRggX6+mtJuukmXXbZCffqXMbDW78IPkn6r7/U2KjXXtOff2rAAM2Zo9mzdf75Ep0DqZwHH4LiWMWiWlr05JPavFmS6ur00ksaNUqSOjpOvocHjOX2hvbYVNnkoWNrqzZv1oABmjlT69dr1Kj0bwG1A8fJ51P6Y0/a4zj9pFDQvHm68kpNmSLxjh04tRwGn1ylt7frlVd0+LCefVY6rnBSB/6/XF3xhqAQVCpp61bNn6+mJkm66iqNHfv3UJ+8fgNwKvkJPhm6o0jLl+u557RnjyTde69qayWpUGBgBzqVq0v61lbNnav33lMc69xz9fzzmj5dVVWVPiwgN/Iwwifz5JqaNGuWdu+WpNtu08svq65O4qYd6IYMB5+8eCsU0hdvLS3avVuDB2vuXM2bp1IpfVZP7UCXZfWS/vhxO/m5rU1PPaUxY3TrrenTO2bFA92UveCPpX7okJ5+WrW1mjHj79UvEotbgR7L2CX9sbBbWjRrlr79VhdeqJtv1uWXp78ql5k8B/RYluJJkv7jDy1erBdf1OHDOvNMTZigCy6QlN7M85od6IWMXdJ/+aUaG/Xpp5JUV6f583XPPZU+JqD/yMAIn9y0x7EWLdKiRdq3T5KmTVNjoy6++IS7dwC9k4Hgoyh9/bZ+vfbt0yWXaOFCTZ6sKGJxK9C3snFJnwzyra164QXNmaNLL5XE2A70uWwEf5JkM3levHVNHKd/G5mXgE5lL3imyvZUsmEvcBrZGxSovcvKZYWgr77S669rzx5qR+eyFzy6LLkYWrxYM2dqzBjNn8+X4qITBJ9XyZzDbdu0caOKRW3ZorVrNXBgutMfcEoEn1fJML56tXbtkqSqKj32GC8x0QmCz6VkP95ff9WqVek/hw7VpEmsIUQnODtybONGffONikWFoClTVF3NKw50guDzJxnGjxzRO++kG/NXV2vqVEkM7+gEJ0guhaDt2/XhhyoWFceaNEkXXVTpY0IeEHz+JLMQ33hDbW3pz488km4CBJwewedPCPr9d61YoUJBHR0aPVq1tdy6o0sIPmeSdQZvvqkDB9Ib+IYGDRqUfg6cHsHnz9GjevttSSqXNWKE6usrfUDID4LPk2TfgNWr9dNP6QP5ceM0dKg6Ong+jy7hNMmNY8/kVqxQW5tC0JAhGj9eYsERuozgcyNZ9P7559q0Kb17v/56XXMNwzu6gTMlN5LIm5r022+SNHCgHnoo/ZwRHl1E8PkQxyoWtWuXmpslKQSNGKHbb08/B7qI4PPkk0+0Y0da+IMPsjYO3Za9La7wP5IlMfv3a9w4tbQoijR4sHbu1NlnczGP7mGEz4cQ9N132rAh/dbcadM0aBC1o9sIPgeSx3LLlklK18bdf3/6M9AtBJ8PO3aouVnFojo6NH68hg2r9AEhnwg+6+JYkpYvV1tb+klDg844g73r0BMEn2nJ47qDB7VyZfqVXDfeqBtukNjrAj3CWZNpyRq4FSu0d68KBRUKmjhRNTVqb2d4R08QfNYdOaKVKxXHimMNH6677mKnSvQcJ052tberWNS6ddq6NZ1Xe8stGj6cb9lEzxF8diXb0TY16eBBSRo0SA88wL606BWCz6hk6fuWLVq3Lh3er71W112nEBje0XMEn1FJ5GvW6JdfVCgoijRjBmM7eou59FmUXLfv3avRo/XDD5I0bJh+/JHVMugtRvjs+uILbdumUkkh6PHHqR19gOAzJxneOzq0ZEk62aamRhMmpL8CeoPgMypZG5d8scx992nIEIm969BrBJ9RS5YojtM5Ng0NKhZVLlf6mJB/BJ8tyUX73r364IP0en7sWNXVMbsOfYOTKFuSNXBLl+rgQUWRqqo0YYLOOou1cegbBJ8hyTC+f7+amxWC4lh1dbrjDoZ39BnOowxJdphvatLPP6fj+Z136rzz0ll3QO/xbjcrQlCppHJZ77+vo0clacgQNTQweR59iYEjK5K79A0b0n1po0gjR+qKK1gbh75E8FlRKCgErV2r/fsVRSqV9OijkqgdfYm59JmQDOPff6+RI3X4sKJIV1+tTZsqfVjodxjhMyG5S6+p0cSJqqpSuazZsxUCc2nRxxjhs6Vc1vbt+ugjTZ+uc86p9NGg3yH4DOGBPP5pXNJnSLLpRbIRPfBPYIQHjDDCA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH1Oa0yEXa3vjAAAAAElFTkSuQmCC", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIaUlEQVR4nO3dT4hd5R3H4d85986U0krdtERxZUDMokXIRiG2UmJsUgtFEGyJtdRiEVMmEhGM0RgTjWhLW5ONBS10WQtRhFKhpZo/i1KIqWYtKBLpRtREGDP3ntPFHccsWmk15s7M93lWw+Uuziw+nPf3nvfMNH3fF5ChnfYFABeO4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CFIaPB9P+0rgGkYTvsCpqDrFn9omqleB1xwccF3XbWhyxpIWtJPlvFtW0eP1oYN9corH38IISKC7/vqumqa+vDD2run27JlfOxYzc3VBx9Y1ZNl9Qc/HlfTVNvWiRP95u90Dz7Unj49GA7ryJF6+umqc0Z6WPVWefALCzUY1Px8HTxQ39rQ/e2ldmamqmo06m+6qa67rsrWHUmafpVOsX1ffV9tW6++Wrsf7J97vqqa2dk6e7a/ZE3dv6vuuquqmr4XPEFWYfCTX2iS8VNP1f799cYbNTNTCwtV1X93c7f/sfbr32gmK3k79kRZbcEvPXU7darm5urQoRqPF2v/4he6fY+2P7ujvvTlGo1qMHBvJ86qCn40quGwxuM6dKjunuveOtUOBjUeV1VdfXUdPFjr11dVjcc1GEz3SmE6VsmKtu8Xa3/zjdq2bXzzzd1bp9rZ2RqP6+KLa+fOevnlWr9+cbBXO7FWwx1+aePtuUPdnj3NiX/2w2Hb9zUe1zXX9Lt31w03NOd+DWKt7KO1S1vx779fD+7qnvptM/9hMzvbnD1bVeN77ml37GjWrKmFhRoO1Q4r+Q6/tD/30kv9jh3N8eN92zZNU+NxXXFF/+tf9Zu3tPXRYA/UCp3hJ0dl27bOnKk9e2rTpub48Zqdbbqu2rb7yY/HR482m7e0k6+pHZasvDv80h77P/7e33Nvc/hwVdVkN37t2npod7f11ra8FQf/yQprYvL8fH6+fvmLfuPG7vDhmhyVHY/rllv6F1+srbe2TtTAf7Ni7vBL5+dOvNLfv7P+9Of66KhsXXJJPfxw3X57NY2JHT7JCgj+3KOyBw/2+x/tT73dDGea0UJV9d+7sX/8ifbKKxcHe8/Y4RMs9+CXJvY336y5n4+ff2HQ9zWcqdFCf9FF/d697Z131uzs4uvuHrzBJ1vWwS8s1MxMjUb17B9rx/bu7X81w2EzGlVVfXPD+DcH2quuasr+HPzPlmnwk3Nyw2G9/no98kg980xV1WRiv/gr3fbtzX33N7MzUof/z3IMfukM7LN/6Pfua157rQaDxRH92g39w3v6677twRt8Gssr+KX9uffeq/vuHf/u9+38/OJWfFXt3Fnb5+qrX/NyK3xKyyj4pf25v/6l3353c/Jk37aLI/q6dfXkk7VxY5WjsvAZLIs18WRiHwzqnXfqgV3d9df3J08uHpWdnenv+Gl37Fht3FiOysJntIzu8MeOdPftbI4craZp2kGNR/26dc0Du/of/NDLrXB+TDn4yfPz06frwIH+8cf698+0H03s3W1b64GH2rVr/YEaOG+muT5e2qJ74onat68ZDJuZmTp7tr90Tb//sWbrrU3bmtjhfJrmDL+0RL/22rr00hqPamGh//6N3ZFj7Y9uW3yzXe1wHk15025yD9+0qbZtqzVr6sCB5tALg8svX/xvMFbycH5Nf9Nusht35ky9+25ddtnHnwDn3fSDP5fU4XO1XEbkc9+BBT4nyyV4qcMFsCxO2gEXhuAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8BTCIG77aqAwoAAAAASUVORK5CYII=", "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": "b6341630636e1c2fbf8527d8cd48fa92aa35cc6726b48255866dd665236126b8"} +{"episode": 8203, "episode_seed": 4252590215, "split": "train", "timestamp": "2025-09-15T22:48:00.914796", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4252590215, "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', [3.3198583944406206, 1.594885995519732, -47.69633379330031])", "action": "('move', [3.3198583944406206, 1.594885995519732, -47.69633379330031])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.3198583944406206, 1.594885995519732, -47.69633379330031])", "action": "('move', [3.3198583944406206, 1.594885995519732, -47.69633379330031])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.3198583944406206, 1.594885995519732, -47.69633379330031])", "action": "('move', [3.3198583944406206, 1.594885995519732, -47.69633379330031])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxElEQVR4nO3dT+hlZR3H8e9z72/805gw2h9SQ6UkxkQc0UxRSrNISBIpKUUXJmhK5aIWSmYLQSJpVZYGKiqKuCgKS5SySVuo2IyWKDiCCGb+h3Rwmt/vnqfFmUwztRY6zfm8XqsZZnPuZd73e89znnNu670XkGG2vQ8AeOcIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHqr37X0E7xTBQ7VWwxCRveCJ1nsNQ23ZUrNZtba9j+btJ3iitVbXXlunnVZ33VVbt27vo3n7tZ7wPQb+k95r8+Zat642barW6sIL66KLauedq/fJTnsTnlCLRbVWV14xbNpUO+1UvffNm6uqhmGytZcJT6ax6uefryOP7Js2tao64IC69dbaf/9aLGo+397H97Yx4Uk0jvefXD488siYd//SKcP++9fy8pRrL8ETaLGopaV6/PF+/Q2ttbayUh/+UJ151qz3iddegidTa3X9dfXww9VazeZ12qnDvvvWYlGzqQfhHJ4s4yn6Y4/VscfW44/XMNS+H1zct3G+x5qqmvJy3WjqH2jwWuMMv+GGeuyxbX/+2tdne+5RFVB7mfBEGf+zP/FEHXpoPfdc9V777VcPPFCrV0fUXiY8UVqr1urHl/dnnqnZrHqvCy6o3XZLqb1MeKIMQ/3lyfroRxYvvTzvvQ46qNavrzVrahimv1w3yniVUNuqvvSS4W+b561V7/38b/So2kvwhBi31j30cN18c7VWi0Ud8bE66aSIW2JfTfBEGLfW/eD7i2efn7VZVQ1nnVV77NkSrr2/WtJrJdVipVatqnvv7bf8elZVw6KO/Hj78qkt6sv8KOzlkmp5ua76aX/yyZrNaj7v5361Vq/OOnsfWaVn4satdXff3T93Yr3wfBsWdfjh/a4/tKWloKtxrwj7fCNM7zWb1datdfXV7dlnqqp61QUX1qpVcct1IxOeKRufXbNhQx11VC0Wtbxcxxzdf7e+jTtwApnwTNlY9WWX1ZYt2/767Yta2nn7q5nwTFkf6o8b6rDD+nzeFos68cS66abaZZeqjFtlXi/4s46p673arC6+eKhqrdWuu9Z559Wuu075GZVvSfBM07i1bv36fvttbT6vlZV+wgn9mKMn/ozKtyR4Jqj3bYvw37u0b11pw1C7796+cma9a7XgYXLGa++//EX//V1t1qr3ftyxw2dPaCsr039q3ZsTPFMzXnvfsqWuvKLGR82/e7c6//xti/PJ470Ez/SMG2Zv/XX/zW9rNm/DUJ86rn/ik20Yamlpex/c9iZ4JmUc7y++2K+8sl7e0qpq1Xz4zndn4afurxA8U9NarV/fbru9LS3VsKgvntLWrUv5cdi3ZOMNk9J7/X1rfebTdeedtbRUvff7728HHlgVf/Y+MuGZjnFHza9u6XfeWatW1cpKnXNOW7u2Su3/ZMIzHb3X1uU68oi+YWNbWqrdd6877qiDD0687/2NeBuYiPEhVjdcN2y8f9vWujNO72vXqv01vBNMwfhl/qWX6oc/auM2u733qdPPyL3v/Y0InilYWanZrK69Zrj/gZov1TD0kz/f161rk//55/9V/EYEdnzjzz8/+0y/6pq2WLTWau+96pxzZ635Mv/vvB9MQWt188113301m1dVfeHk4cADy87517NKz45tXJN76q/9+OP7gw/Nqteea4aNf5rt9YEqV+Nex4RnxzYm/bOf158fbOPvQ559du2917/+iVcz4dmBjYvzTz9dhxxSTz1VrdWeaxYPPDh/73sq9jGVb86iHTu8Rx+t5eUahqqqb35r/v73be8D+j9mwrNjG4f8Cy/UJZfUPffUjTfWPvvYbPOGBM90rKxUlZve34z3hinofdtjrZy3vzkTnulIfv70f8mJDtOh9rckeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyD0u08YxQ98EEAAAAAElFTkSuQmCC", "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": "bfcac8767908c97778382fc0eb839ab432495219eeefbfac1d83f5af42599e8e"} +{"episode": 8204, "episode_seed": 2458067906, "split": "train", "timestamp": "2025-09-15T22:48:01.515661", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2458067906, "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', [0.6446192969438157, -1.3734079757000206, -43.443382989929354])", "action": "('move', [0.6446192969438157, -1.3734079757000206, -43.443382989929354])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.6446192969438157, -1.3734079757000206, -43.443382989929354])", "action": "('move', [0.6446192969438157, -1.3734079757000206, -43.443382989929354])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.6446192969438157, -1.3734079757000206, -43.443382989929354])", "action": "('move', [0.6446192969438157, -1.3734079757000206, -43.443382989929354])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "9f369383550d836e9764f7762526a0ef7de734078ef12d1f23a8c6fb81cab9fb"} +{"episode": 8205, "episode_seed": 2535424681, "split": "train", "timestamp": "2025-09-15T22:48:02.125385", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2535424681, "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', [-2.4166178671856606, 0.45635599542717736, -35.70896043107731])", "action": "('move', [-2.4166178671856606, 0.45635599542717736, -35.70896043107731])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.4166178671856606, 0.45635599542717736, -35.70896043107731])", "action": "('move', [-2.4166178671856606, 0.45635599542717736, -35.70896043107731])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJhklEQVR4nO3cz49dZQHG8WdmWpBCDbUsgBClwkISAgSoFm2hBYJRMQURRBdsCAlL/wX/ABfuXOjGqNHGiPIjEIQWkrYU7YJJiEYgEayJUayFUDDt/Lgu7rHtTEWNVO90ns9n1bw5d+ZM0u993/Oee+7UaDQK0GF60icA/P8IHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHopMOvjRaMInAE3WTPj3Ly5mcTHT05mZmfCZQIGp0QTn2NEoU1PDvxcXMxplevrkCHCmTXSGn5/Pvffmhhvyuc/lxhsneSZn2vhd1HsXK81EZ/jjx3PuuUmycWM2bcqtt2bnzmzZkulTdhYWF5NkauqsqGe8THF1woo10eAXF3PPPdm/P3/+8zAyM5OtW/PYY1m/fsmCP8n8/HDAyit/vBExNXUy9bffzsxMzj9/BZ4s1Sa6pJ+eziOP5PDhPPlknnwyL7+c3/4269Zl/frMzWXt2uzZkz/+Mddem02bsm7d8KrjxzMzsxKm0dFoSH3t2mFR8uabefXV7N2bH/4wV1+d739/0qcIS010hk+GLfqxI0fy7LO5+OJs3TqMX3ddZmdzySXZti1btuSGG3LjjSfLn5wT9xbG5370aPbvz4ED2b07zz8/HHPppXnllZx//gRPE5abdPBZOlGeamEhDzyQJ57I228PIxddlGuvzTXXZOfObN2amZlh2X/iT/gfL6BP34p75pk8/XR+9ascPJijR5NkZibT05mbS5LvfCcPPpiFhZWwHIFkRQR/wrJL4dEo776bN97I7Oyw5j98eDjyoYfy7W8P5Z0e+bKL/w9mNBpuF57qxReza1d2784bb+TIkWFwenrYYUxy3XW5777cf382bTqzpwMfyEoK/l+Ym8s77+SFF/Loo/nZz/KNb+Thh7O4mGPH8vWv59ChPPBAbr45GzcO2/4f2LJFe5J3381rr2XXrvz0p/n97/Pee8tfsm5dLr88X/pSvvzlXHmlxTwr0coOfjy9LrsnNzeX+fmcd16SHDqUj3982MA/77zcemvuvDM7d+aSS/67iXU0ysJCRqOTlxdvvpnf/S7PPptdu/LSS8PgqZP5Rz6Sj30sO3bkvvvyqU8t/2nmdlaUlR38qZZdqI9jOnIk3/xmZmczO5tDh4YDfvCDfO1rwz7/f2xxcbjYHk/pb72Vgwdz4ECeeir79g3HrF07HJbkgguyeXM2b84dd+S225afps5Zmc6e4P+1gwczO5s9e/Lee/nud7Nhw5L9//e37G1kYSHPPJM9e/LLX+bAgfztb0myZk2mpoZ9uCTbt2fHjmzZkptuyvr1yT/W/yvyIwKwxFke/Gg0zOTj1I4fz1//mosv/rcvOn0fbt++/OQn2bcvr712ch9uZmaYz5Ns3px77sktt+TKK3PRRcPg+DMBngDgbHGWBz+27Mbe+1w6n/54zrFj+fWv86Mf5bHH8oc/5J13lr/k3HNzxRW5997cfXc2bcqHPzyMj6/zTemcdVZF8Cf8s7n79H24v/wlr7+ep57Kj3+cl18eBk+9nb9hQy67LJ/9bL761Vx//ZLfsLBgPucstrqCX2phIYuLwxV4ksOHMzubAwfy+ON54YXhmDVrhreDJBdemGuuySc/mS98Idu3L/lRtuJYHVZn8ON7ZuOZ/tix7N6dvXuzf3/27h1u4Z26Dzc1lR07sm1bPvOZbNuWD31o+Akez2f1WZ3Bjz33XH7+87z4Yn7zm7z1VpLhU3zj5pPcdFPuuiuf/nSuuiobNw6D9uFYxVZV8OPduqNH861v5Xvfy5/+dPJj+CfMzOSqq/KVr+SLX8xHP5oNG4bxFfz0LZwxk/5OuzNtNMo55+T55/PKK1lzyh934YW57LLceWfuvz9XX33yaZbxBv/U1JKDYbVaVf/Np6Zy/HjOOSe33JJf/CLz89m4MZ/4RLZsyV13ZevWJQef2IfzKBs9VlXwyTBRf/7zeemlXHFFbr8927cPg8u+LMvSnUKr6hr+hIWFHDs2fFPGaJT5+ZMfkodmqzP4sbm5YcVuMoexVRu8R1PhdKt2mat2ON2qDR44neChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyN8BXrMx73Di8qEAAAAASUVORK5CYII=", "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', [-2.4166178671856606, 0.45635599542717736, -35.70896043107731])", "action": "('move', [-2.4166178671856606, 0.45635599542717736, -35.70896043107731])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG3klEQVR4nO3az4tdZx3H8e85d246LU6DGeuiZNPu/EFtYiOlKDQxtNpKrRS76h/Rff8VCSjoSlFoEVFjbEnRlJjMgCAUasBm1YodSCLt3DnncXEvk2loxB80dyaf12s3M/cMzyzePM/zPdO11grI0C97AcCdI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsuTgZ7MahmptuauAFF3bB7UNQ41jTSbVO3DAp2mZhQ1DnfnBuLlZk0lNp9X3NQw2fPgULXOH/+ijWl0dH3qo/+IX2uOPt299u3/ssY99YL60rlvK6uAutMzgt7drba22t6uqVdUDD3RHj46nT9X3XuhPnKiVlZufHMeqqq4TP/xflhn8bFZHjtT1663qYx0fOlQPPljPPFPPP1+PfqV99ki3G//OTlXVZKJ8+F8seWj3kx+3114d//yXyZW/tuvXa17+ZFLDMP95+/z6+Oxzk6efal/6cj38cHfffYsHZ7PqOuXDf2dfTOm3turc79qb59uljf6tt+rGjaqqrqvptLZn8/N+Wz/STn2zf+KJ9tXjdeJr3erq4tmdnep74334jyw5+PkLuel08eUHH9TGRl2+XK+/Xmd/2278s6uqvq+VlflVv6ra59br0WPdsWP15JN18mTde+/i2d2/w54Pt7MvdvhxrHGs1m6Wf+1avfu3dnmje+3V8Ve/rK1rix287xcDvKo6fLiOHq3jx9t3n6unnu7W1vb8xlvHAkDVPgl+17z8+eV8bmentrbqwoX62U/H3/y6/f0fkw8/vPWpQ4dq7TPDN75eL7w4OXWy1tfrnnvu8MLhYNhfwe9qrVq79T3cMNTvz9Uvfj6++Ye6erV///3F9/du+9OV8fTpevY7/Usv1eHDd3rZsM/t0+D3+sTL+fnzdfZsXbxYmxv17tXFCX5+I5jNqqo2N+uRR2oczfPgpgMQ/F7zM//esfyfLrZLl9ofL/Tnzo1XrtT8n4W//2L96Ie1uro4JgBzByz4udZqHGsYajpd9DyO9c477e236403ujNn6pVX6uWXaxhuzgKAOqDB75qXv/fFXlW9917df7/tHT7BwQ5+13zIV+XGDv/OXRL8XjZ2uJ27cENUO9zOXRg8cDuChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/AvuiMDamtvczAAAAAElFTkSuQmCC", "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": "34e335d0534baa83b84490c63d7c8c5d986a41e47bba914d5b0f928bb3cdc573"} +{"episode": 8206, "episode_seed": 1968130880, "split": "train", "timestamp": "2025-09-15T22:48:02.737118", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1968130880, "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', [2.8538926332855348, -2.7921490612508073, 6.531194421098263])", "action": "('move', [2.8538926332855348, -2.7921490612508073, 6.531194421098263])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.8538926332855348, -2.7921490612508073, 6.531194421098263])", "action": "('move', [2.8538926332855348, -2.7921490612508073, 6.531194421098263])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.8538926332855348, -2.7921490612508073, 6.531194421098263])", "action": "('move', [2.8538926332855348, -2.7921490612508073, 6.531194421098263])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFiUlEQVR4nO3aS25TSQBA0bL97BB1BgxYBftgD2ySbbAMZpGQGDDg13Ycvx6YDknoDzTQhNxzVLJelT8qWbp+/i3meR5Aw/JnbwD4/wgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAy/ewNwB01z/99Ot3VsO7qvuArzfON6r6iz3ncvHIsFrfHcfEeWMy3ngngmsNhXFz809jvx2736fjdu/Hw4XjyZCyXY57v3MuE4Pm1HaO6uBjn5+P9+3FxMbbbsdvdHtvtuLi4ms673+fd9rDdzrvjjfer3X55vNnl5bi8HPv9x4Orsd+Pw+HG+vH4+uI8jw8fxuPH4/nzcXp6F4P3lp5f2zGq8/Px9Ol48WIsxthfjsNhzPOny8+mxwpXP2hLb9+O7Xacnv6gh/8mguc+mOfx+vV49erL7/G1Z975s3vNYywWi7FcjqvLaRrzPM7OxuXlx105w8P3t1yO/X6MMf9Z5liMsZoW02qxmsZqdXtM/7Y4TWO5/Liyng6b6XBysticLtebxclmbKbDZj2vTxYnD5abzbgaJydjuRyPHo2zszHu5Pd8PsPzazueRd+8Gc+ejZcv598eXE7TWK/HerNcbxbrzWK9Hl84pmlsNmOa7mKo34vg4Ybjz3vXx3W3Xgv+brr6Ud8PfCvBcx/M89jv/+Iz83ec3g+ChxD/pYcQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngI+QNoCwsHfn81MQAAAABJRU5ErkJggg==", "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": "b73fa0146379589dc366cc386aa1386661abbd3705d260f7abee69ec32801542"} +{"episode": 8207, "episode_seed": 2406968436, "split": "train", "timestamp": "2025-09-15T22:48:03.672362", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2406968436, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.663718755322064, 12.183812962637317, 28.655117098628466])", "action": "('move', [-14.663718755322064, 12.183812962637317, 28.655117098628466])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.663718755322064, 12.183812962637317, 28.655117098628466])", "action": "('move', [-14.663718755322064, 12.183812962637317, 28.655117098628466])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.663718755322064, 12.183812962637317, 28.655117098628466])", "action": "('move', [-14.663718755322064, 12.183812962637317, 28.655117098628466])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "451d262f99d9c8afe0e24a1a0950587699fe6d0761a827d47d79487281540a3a"} +{"episode": 8208, "episode_seed": 1652299284, "split": "train", "timestamp": "2025-09-15T22:48:04.277031", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1652299284, "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', [-9.465080131298027, 0.7023474306975376, -26.170834955717073])", "action": "('move', [-9.465080131298027, 0.7023474306975376, -26.170834955717073])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-9.465080131298027, 0.7023474306975376, -26.170834955717073])", "action": "('move', [-9.465080131298027, 0.7023474306975376, -26.170834955717073])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJcklEQVR4nO3cTYhdZwHG8WfuncEmtmNSk4li3IjQbBTcaq0iogh1YUBwp0urgh8gCKIVsYhU0EotYrGI4EZwIXYhKIoGFxKoKLoqLioWbD6aiXaSTGbmXhf3OJkmTfxIk9zM8/txuJxMZpIzDP/zvuc9Z+7CdDoN0GF0qw8AuHkED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0XmOPjJJNPprT4I2FUWpvMf1XSahYVbfRCwG8zfCL+1lSS//W3e//784hdJsrCQ6dRoD9dvzoLfrvqb38yTT+b++/Pxj+eZZ7KwYJCH6zdnwScZjTKZ5P7785a3ZH09jz2Wt70tjz2W555zVQ/XaS6v4WcX7adO5ZFH8t3v5sSJJPnZz/Le92YyGT5nNH+nKph7cxl8kq2tjMdJcvx4vvzl7N2b730vd975ogU8i3nwP5rX4JNMJplMsriYf/4zW1vZt2/4+KOP5vTpPPjgpU8z2sN/Z46Dn9ke6mc7f/pT3vzmTKe577489FDe+taMRtnaymhktIf/aO7HxvF4uCc3Gg2v73tfxuP85jd5xzvy6U/n6aczHg+37oBrmvsRfqfti/Yf/CCPPprjx5PkDW/IZz6TD3/48it84Aq3VfBJptNMJhmP8+yzefzxPPJIVleT5OjRPP547r57GOdlDy9l7qf0l1lYyHicjY287nX50pfyq1/lQx9Kkte8Jnv3ZjK59IiOm/ZwhdtthN+23fbGRn796xw5ksOHk+T8+Tz1VN70piwvJzvW/G66ra3hGJOrvsJNdruN8Ntmy/KTSZaW8u535/DhYUj/8Y9z7735wAdy7FiSYTpwK05q43GWlrK4mMXFjMcZjzMaDUc9nWZjIxcv5uLFbGxkczObm8MJwryEG2rxVh/A9ZndgZ+t1c3uzz39dJL88pc5diwPPJCPfSz33JPp9CYP9Rsb+c538opXZN++3HVX7rwzy8uXXvfsudajA5NJNjeH72l7OmB2wMvitp3SX2mWyMWL+dGP8o1v5KmnkuTIkXz0o/nEJ4bbeze+ldl/8ve/57WvHT4yHueuu/KqV2V5+fLt7ruzf/9LvF7b9uPFuSJ+5wKubRcFv9Pf/pYnnsjDD+eFF5Lk7W/Pgw/mXe+6dLv+hpUxC/4Pf8h992Vt7b+aot9xR/buzZ49L9r27cuBA1lZycGDOXAgBw7k4MFh27v3Bh07u99tPqW/0mz2fvhwvvjFHD2az38+Tz6ZY8fy7LPDNf9sMn3DHs6bBX/mTBYXs7Q0XJbPtqu5cCEXLlz1b0ejS2sBs39zaSmvfnUOHcqhQ8MZYWVl2D90KMvLWVrKaHRp1QC27dIRfuf9uSeeyPHjeeihYa68vp7z57N//zD43pgL+8kkZ8/muedy8mROncqJE8P+yZM5cSLPP58LF7K+nvX1YelutvOyWFoaTgEHD+bQoezfn3vvzdGjWdx153b+D7s0+JnLLtpng+y3vpWf/jRf+ELe+c4k2djI0tLNP7StrZw+nVOncvp0nn9+2Jl95OzZrK3lhReGbW1t+OM15gjJMJ7n31OcnT/VD34wP/xhlpY8iMjum9LvtP0Ezmx/NMpf/5qvfCWnT+d3v8tHPpJPfSpvfOOLpgMvq1l1O1+3d8bjrKxkZeWqX7u2lrNns7qaf/wjq6tZXc3Zs8N25kxWV4fX2XbmTNbXhzcHu9LrXz8M72pnV4/wl5lMcu5cfvKTfPWr+fOfk+See/LAA/nkJ2/+sWyfBXbubK8nbg/XV7O5mbW1nDuXc+eGKcBsm00WTp4cJgurq/nLX/LZz96Sb5F51BT8tpMn8+1v5+tfz9pakku/aTs375z3kqeD2c5sHe4/LsVtbAzP9pw/n+XlvPKVN/iIuU2UBb/9m7ZJ/vjHfO5z+fnPs7mZO+7I73+fI0dui7fTuOzqYOcPcHbKmo+zFvOoLPiZnYtX3/9+Hn4473lPvva1YfVuV+Ry2U91V3xPvAwqg5/ZHu2feSZ79mRlxSo2u15x8DObm+5Q06M++Pz7vt3cX7rD9RM8FDGsQRHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5F/Aes5dmffJUUuAAAAAElFTkSuQmCC", "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', [-9.465080131298027, 0.7023474306975376, -26.170834955717073])", "action": "('move', [-9.465080131298027, 0.7023474306975376, -26.170834955717073])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIS0lEQVR4nO3cTaxcZR3H8f85cy/QaBpiIhiSrpQIMYIviEuWNBANaVUgGMCoxIVGW4JouYBiIQUB2wSbosSgCUEXXbAiQKRWRCMmLCmVBQIJdFkSKCR35jwuZjq0CRqCL72d3+eznHsWZ/O9z8t5zulaawVk6E/0DQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIGsx+GGoyeRE3wQsoq61dqLv4d2NxzUaVded6PuABbK2RvhhqKp6+eV69tlaWqqum/0C/FesoeBbm43ne/bUZZfVLTcPbx6pvp/9CfjPraEp/TBU39f+/bVxY739dlXVuR8ftt/Rb9pUVdVatTbrH3h/1lBAfV/DUE88Mat9abkOHOw3bx6+tGl47rnquur7Wl012sP7t4ZG+OmUfnW1du8e9uyp55/vu65GoxqP64MfGLZtq2uu7c86a7aqN9TD+7CGgp+aZv/ii/Wze9sv729vr/bLy7W6WlXtwgu7rVvr8surqsbjWlo6wbcKJ501F3xVra7W8nJV1b7ftx131uNPtKpZ9n1fmza1m1fqvPO7OmafD3gv1mLwVe/M219/vfbubSsr9dprXdfNHtSdeebwja/XTSv9unWzi83w4b1Yo8FXVWs1DDUaVVUdOlS33loPPVRvvlmjpZqMq6rOPXty5z2jiy+uU06pyWS2qwf8G2s3+KljJ+379tWPbh3++FRfVUcX9nXVVcP3b+imM/z5WgB4V2s9+LnpvH0Y6r772u6f18G/V993o1GtrtaHTm9brm/XfbM748xuMqm+t7CHd3fSBF9V85gPHmh77q+du97ZzKsaPn9h/70tdcUVVTbz4F84mYKvqtZqPJ7N2//0VLvlltr3h66OzvBPO60uuaRuv73OOWd2cZXy4R0nWfBTk8lsM++tt+o3vx5u+3G9eqivo2f1Tl8/2bq1++6Wfv364y4GTsrg6/ij9YcO1cpK7d1bhw/X0lKNx1VV531y2H57t3FjNx38p+/eQbiTNfi5+XL9scfqrrvqySdbVTdf2F99dfedb9cFn+vKUA8LEHxVtVaTSS0t1ZEj7cFftZ/e3f3jpRqNuq6r8bid9ZF23be6LVu69etrGGp6egcyLULwU/PT9S+80Hbvrp0765ihvj51/rBtW/flr8xat41PpsUJvo4Z6lurp5+uG6+f/PmZUdVsYX/qqXXppbVjR519dtUxD/kgx0IFPzU/Wt9a7drV7r13eOWVUVWNRjWZ1Pr1tbLSrr2mPnxG16oGC3uSLGDwU/NJ+ysvt59sr4cf7t54o5aXazyu1toFn62btrXLNvVV9vAJsrDBT8135h99tHburMcfP24P/6tX9Vu3tk9/piuv3JFhwYOvqmGoYailpTp8uH7323bbbfXqa93SqFrVZFIbNgxfu7Z+8MPZm7aw2BY/+Kn5Hv5LL9WOO4YHHqjxMD+HX+d9YrL9jv4LXzStZ8GlBF913EP4/fvrxhuGv/6tr6ql5RqvVt/XlVfWgw/6chaLLGjZOn0IN/3/dtFF9Zdn+nvuHj720TZebaNRDUMdOTJ7pAeLKmiEP9b8RbqDz7ddu+r+X3Tr1tWBA7VhgzM5LLLQ4KfmX8h55JEaj2vz5hN9Q/A/Fh181XEfw/NkjoWXHnwd/VqmY7YkEDwEMYWFIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8Ekc8ExMeUaw8AAAAASUVORK5CYII=", "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": "815c69a008030dee3b8032d539748d9ac1a3a267fc0315982e7358e94ec17bda"} +{"episode": 8209, "episode_seed": 1094238492, "split": "train", "timestamp": "2025-09-15T22:48:04.889496", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1094238492, "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', [65.72561827503858, 78.16856028490197, -48.98670661220891])", "action": "('move', [65.72561827503858, 78.16856028490197, -48.98670661220891])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [65.72561827503858, 78.16856028490197, -48.98670661220891])", "action": "('move', [65.72561827503858, 78.16856028490197, -48.98670661220891])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHxElEQVR4nO3dS2td5R7H8f/auSAt2lItJXtQMTWCIIgTRyJSB46dOBF8D+K7EC/4NkTnDp10LtJJ20TFklZasEI0BfdlncHatD0eT88F86zE3+fDHuyspMlT2F+eZ132Xl3f9wVkmIw9AKAdwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwY9quaz5vJbLscdBiq7v+7HHADSyPvYAsl29Wru79dJLtb1dE6stjpwX2RiGVdV8Xp98Um+/XZ99VovFw+1wZAQ/nsPDunOn1tfrqadqY6P6vrpu7DHxNyf48dy/X7u7NZ/XpUtV5dAdDQh+PIeHtbtbXVcXLlRZz9OC4Mdz+3YtFvX00/XMM1VlPU8Dgh/PjRtVVdPpKng4eoIfwzCZPwj+/PmqclqOBrzIxnPtWlXVhQv15JOO2NGGK+3Gc/Vqff11vfhivflmLRa1tjb2gPj7E/xInHVnDJb0IxlqXy6djaMlwTc3FH73bn3/vXmexgTf3BD855/X5cv17rv1669VLrOjEe+WG8k339QPP9TWVp06VYuFc3K04XXW3DDDX79ek0nt7NRkUouFhT1tCL65rqv5vH78sZbLeu651RZoQvBtLZc1mdT+fh0eVtfV9naVa+xox0utrWE9/913dXBQp06t3hhrhqcVwbc1BL+3V7NZnTmzmuEFTyuCb2sI/tq1ms+r72trq5ZLwdOM03JtDbvrr71W+/urI3bQkGvpIYgl/RiWy5rNVp9UCw1Z0jc3LKmGj6mFtszwDc3nVVVffVWvv17vvVcHB2MPiDiCb2h4h8z163XlSn3xRW1ujj0g4gi+oeH0261b1XX1yiuCpz3Bt9L3tb5efV+3b1ff16VLrqilPa+5VobPurh3r27dqqra2Rl7QCQSfFt3766W9C+8MPZQSCT4VoaTcD//XD/9VH1fzz//cCO0IvhWhrZv3qx792p9fXXzCWjLhTetDIfoptN66606fbpOnx57QCRyLX1bi0UdHNR8XufOOUpPe4KHICYZCGIfvonhJPydO/Xxx7W1Ve+8U9Opu1DQnuCbGNre368PP6yqevnlmk5ruXQDSRoTfBPDTH7zZm1s1M5OTacPN0JD9uGbGNq+caNmszp/vs6eHXk8pBJ8K31fe3u1uVkXL9a5c1VmeEYg+Fbm8/r22/r99zp7tjY2Vh+GAW3Zh29lba3ef78uX6433qiq6jozPO258AaCWNI3NJ/XbOYdcozIDA9BzPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5ATcH/743O3SDd056U5A8DKDv8rxDb7vq+vqypX69NM6c6b6vtbWajJZPR59/uiWrls9+cOXw5auq/X16rqHPzBs/Ncv//RPXLxY29urgcFJdHyDH+zt1ZdfVtcdi4X9Bx/URx/Vcllra2MPBf4vxz342azqyHbjH0zU/+WTJ544kmFAM8c3+KG0ra169dXa3KzZrPq+lsvVY3je97VYVN//07cefPfRJ3+6/cE/Hzb+R7/9dtT/aThaXX8c1sr/3v379csvNZmsghzafvzjMT9Wter88b9q+O4f/uJyWc8+ax+ek+24Bw/8hY7vkn7wYMo9it/8vxoO4MPJZYaHICYsCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIPPs3H/lUBNvEAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [65.72561827503858, 78.16856028490197, -48.98670661220891])", "action": "('move', [65.72561827503858, 78.16856028490197, -48.98670661220891])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHaklEQVR4nO3d3XIUxx2H4f+sELYwcjlCoIAUiLSAqeICfMLV+o5clYqNwBIBGQcLULDBdqLVTA5mLa5APan8nudoNUd9sK96uudju2EYCsgwm3oAQDuChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCXph5ArsWijo/r6tW6fLlWV2vmfy8Xz7dsAsNQVfX2bT16VFtb9dVX9fXXU4+JDGb4yXz4UC9eDGdn3Tff1MnJ1KMhgxl+Mq9e1elpt7paXVcPH1ZV9f3UY+L/neAn0HVVVfv7VVV9X8NwduvmMO2QCCH4yYzBn57W1vVaX6+q6qYdEAGs4SczBl9V83srV9erSvFcODP8NPqzevy30/Hz7u5yhoeLJvhp/Ps/dfiPlfHa++5uXb68vFYHF0rwrY1hP39eH36fzVaqatj961BVZ2fLzTy4OIKfxuPHNQzjdbj+z1sux9GITbvWhqG6rvb3axhqOKtrG7PNG1VleqcFwU/jyZPlh+2d7vr1KsHThFP61sY1/HffLf+8ebM2NyccDlkE39Qw1GxWw1A//LA8sr1d6+vV956WowXfsqbGBfzRUf3663ig377ZV9ViMemwiCH4psbz+adPz4Ovne2+LOBpxaZdU2PwBwfL4D//fLZzpyvB04oZvqkx+O+fLE5Pq6o2NmpnR/C0I/imhr6q6uCgqxqqamOjbt+uKjt2NOKL1s4w1KXVqqpXxyvjk3F/2qgvvqjFwgxPI4JvZ7wm99NP5y+0Gra3FuVFNzQk+HbOH5t5+3Z5ZO+uBTxNCb6dMfijo3rzpqrq00+7+d2VEjwNCb6d8dT9/K6btbXa26uyY0dDvmutHR0tP6yt1XxeZYanIcE3Mgy1ulpV9fLl8shnn9WNG957QVOCb2S8i/7k5GPwu3d6qdOY4Js6Pv4Y/Jdf2qKnNcE3Mu7YvT7uXzxfXna/90DrtCb4pl6/rvcfhpWV6rq6d7fKDE9bnpZrZAz75Y+z6qrrajarBw8+Hoc2zPAtDEOtrFRVHR5WDdX3tX6lv3Vr6mGRR/Dt/PZbHRxUVfV93b/XX3J2RXOCb+f9L3V4uPx8/+ElN9jRni9dC+Nd9O8/DAffD+Oifdyxg8YE387PP3cn/+rGM/n796vK78nRmuBbGGf1Z8+q/nhUZgweGhN8C2Pw46/NLBb1ySd+fIJpCL6RYajH+1VVZ2c1n9fa2tQDIpLgG1ks6un+8qbavb26cmXa4RBK8I0sFvX478vH4+bzZfBus6MxwTfy7l398/jSuEU/n1fXeXclExD8hRuvve3v1x/X4Po7dz4eh5YE38j5Fv3q6rC5YXJnGu7nbuTbb2s2q66r239Z2bhWZQHPFATfyJs3y0X7tc0ag4f2usFSsonXr+vdu3r2rGazevRo+UJLaEzwEMQpfSPn/1ct3ZmQ4BvROf8LXJaDIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8FYz4nKQpG1osAAAAASUVORK5CYII=", "image_next": "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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": "624b5a4f7e959be5f3119c51f82d82270cd1dd8d5db11da5c5495b1b4fd06748"} +{"episode": 8210, "episode_seed": 1176775118, "split": "train", "timestamp": "2025-09-15T22:48:05.827941", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1176775118, "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', [-12.03293707489132, -5.077329799355587, 3.7960509430946368])", "action": "('move', [-12.03293707489132, -5.077329799355587, 3.7960509430946368])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALG0lEQVR4nO3dXWhX9QPH8c/5/abkemA9LdfmDKwrAyOjTYVEq0WaiBi1tknayJKKLLrrZhfDilAJexJXBF51ZxZqKJpKYlrqBiYGwdJVFMG0bMPtPPwvzvnv72Nr5r/5O5/36/K3mzM9732/v3O+33OCJEkEwENhtA8AwL+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgge/1SSKI6VJKN9HPgbCB7/SJIoCFQoKAgUx6N9NBgOwePSpbUfOKCtWyWpUGCcv9IRPC5ROpPv79eLL6qhQcuX6/Dh7HOyv2IRPC5RFKlYVEeHvvpKY8fqrbf0/vsKAkWRgmC0Dw4XQfC4FHGsYlFHjmjVKg0OKopUU6OmJknUfkUjeIzY0Iz9zTfV3a0xYxRFam3VtGkKQxWLo3pw+EtBwvctjFAcq1DQxo2aP1+FguJYd92lvXs1dqzECH9lI3iMTHq+9PZq9mx1dalYVBxr2zbNmpVdtMeVjCk9RiwItHq1OjtVLCoMtXQptZcMRniMQFr1wYOaMUMDA4pjTZqk7dtVUyMxmS8FjPAYgfQe+0svqb9fQaAk0auvasIExTG1lwaCx98VhioUtGaNdu7MJvMLFqixkcl8KWFKj78lXWbz/feaPVs9PZJUUaHPP9c992Q/QklghMfw0kHh9Gm1t+vYseyT55+n9tLDCI/hpTfeP/tMjY0aGNDgoKZM0a5dKi9Xsch8vpQQPIaRniC//aaGBh06pGJRUaStW/XAA3x7Lz1M6TG8INA77+jQoWwV7TPPUHupYoTH8A4dUn29BgeVJLr1Vu3fr6oqgi9JjPD4K0miKNLLL+v06ezG+4oVqqri4TaliuBxUWGoINDatdqxI5vMz5unhQuz2hneSxFTelxYer/tu+/00EP64QcFgSortWGD6uq4FVfCGOFxAekS2ijSa6+pu1tlZYpjPf206uo0OEjtJYwRHhcwtOP9sceya3VTpmj3bl19tcRkvpQRPM6V1t7bq/vv18GD2fC+ebMaGrIfoXTxv4dzpQP4mjVZ7WGoxYvV0CCJ2kseIzzOkt5d7+rStGkaGFAYqqZGe/eqqkpBwGS+5PEXG2dJL9ctX66+vux9Mu3tqq6m9pwgePxPFKlQ0HvvaccOFYsaGND8+Xr0UV4dlx9M6ZFJXyBx/LhmzNBPP6lQUEWFtmxhD2yuMMJDOuNR821t+vFHFQqKIi1bRu15wwgPSQpDlZXp00/V2KjBwWzH+xdf6Jpr2PGeK4zwyN4b9csvam9XX5/iWGPGaMUKVVRk1+2QGwSP7Ar82rXaty/bJNPcrDlzWGaTQ0zp3aX//11dmjFD/f2SdMstOnBA48ez4z2H+APuLk36lVf0558KAsWxVqyg9twieGtRJEnr1mnbtmwy/8gjeuKJbPkN8ocpva/0K3p3t2bOVE+PkkQ33aSNG1Vfz6243GKEN5Vudw9DtbXp2DGVlUnSs8+qvp53vOcZI7ypdAz/5BO1tGS34qZO1ZYtuvFGiR3v+UXwjoZ2vDc06Ouvs+F9wwbNnctkPueY0g8nd38Q08vvSaKVK7Paw1BNTZo7N1uBgxwj+OHkbnY79AvNnat771UYqqpKr7+uJGGZTf4xpb+4TZvU26s5c1RRkb/s03F+YEBtbZo8Wc3No31A+FcQ/IWkl7Dr6/XNN2ptVUdHtlM8d9kPYZmNCeZw50kXo2zZos5OlZdr1iwpz0Gka2xy+svhXAR/IUGgd99VGGryZC1YoCjKLmTnEc+uskLwZ0sXnezapS+/lKTFi1VePtrHBFw2BH+eJNGHH+qPP3TbbVqyREnCrSrkBsGfIX3sS2endu5UkmjZMo0bN9rHBFxOBH+G9Db0Rx+pu1s33KBFi0b7gIDLLLfXokYsXXeSJHr4YR09qro6jR8v5XDhDZxxH/4M6T9FEOjECRUKuu660T4g4DIj+PPwJDfkF1P6M3z7rYpFTZqUTeOZzCN3GMr+K47V0qK779b69dmz3YDcIXhlb07bvl2dnYpj9fVJOdwVC4jgM0Gg1auVJLrzTj31FPvCkVf2wafb4Pbs0Z49ShI1NWncOHaTIK/sg083i33wgU6eVG2tWlt5EARyzPvMTtfSHj6srVuVJGptze69M7wjp4yDT+ftcayODh0/ruuvV2vraB8T8P9lHHwQqFhUkmjCBElqbFR1dfY5kFPeK+3iWEGgKFJXl2pqdPPN1I588w4+xTV52DCe0ieJfv1V/f2sq4MP4+AlLVmiRYu0Zw/Nw4Tl5pl0Dr97tzZtkqT77tP06QpDbr8j9yxP8fSyxcqVCgLV1WnpUsVxjp9LCwzxCz69Mr9/v3btkqSFC3XVVdmHQN65Br9unU6c0MSJevJJ1tLCh9mJnq6lPXpUmzdL0uOPq7KS4OHD6UQfWnGwfr16enTttXruOWqHFbMrVWVlOnVKBw5IUnNztqgWsGG20i59LezJk/r4Yz34oG6/nWt1sGIZPHfg4MopeJ4/DXtOY12S6IUXVFWllhbV1rJnBoY8gk/b3rdPb78tSXfcodpa5vYw5HHGp8GvWqViUVOnauZMSUzvYcjgpE+/uh85kj24bv58VVZqcJDgYcjgpE+vSr7xhk6dUm1ttpaWyTws5T34JFGxqDDU778rijRvnqqr2SoDWx635eJYP/+snTs1fbomTpR4UiVMeQQPQFL+p/RD4lhRxCsiYY4RHjBiM8IDIHjACsEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4Dkogoyg8l0pEAAAAASUVORK5CYII=", "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', [-12.03293707489132, -5.077329799355587, 3.7960509430946368])", "action": "('move', [-12.03293707489132, -5.077329799355587, 3.7960509430946368])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALG0lEQVR4nO3dXWhX9QPH8c/5/abkemA9LdfmDKwrAyOjTYVEq0WaiBi1tknayJKKLLrrZhfDilAJexJXBF51ZxZqKJpKYlrqBiYGwdJVFMG0bMPtPPwvzvnv72Nr5r/5O5/36/K3mzM9732/v3O+33OCJEkEwENhtA8AwL+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgge/1SSKI6VJKN9HPgbCB7/SJIoCFQoKAgUx6N9NBgOwePSpbUfOKCtWyWpUGCcv9IRPC5ROpPv79eLL6qhQcuX6/Dh7HOyv2IRPC5RFKlYVEeHvvpKY8fqrbf0/vsKAkWRgmC0Dw4XQfC4FHGsYlFHjmjVKg0OKopUU6OmJknUfkUjeIzY0Iz9zTfV3a0xYxRFam3VtGkKQxWLo3pw+EtBwvctjFAcq1DQxo2aP1+FguJYd92lvXs1dqzECH9lI3iMTHq+9PZq9mx1dalYVBxr2zbNmpVdtMeVjCk9RiwItHq1OjtVLCoMtXQptZcMRniMQFr1wYOaMUMDA4pjTZqk7dtVUyMxmS8FjPAYgfQe+0svqb9fQaAk0auvasIExTG1lwaCx98VhioUtGaNdu7MJvMLFqixkcl8KWFKj78lXWbz/feaPVs9PZJUUaHPP9c992Q/QklghMfw0kHh9Gm1t+vYseyT55+n9tLDCI/hpTfeP/tMjY0aGNDgoKZM0a5dKi9Xsch8vpQQPIaRniC//aaGBh06pGJRUaStW/XAA3x7Lz1M6TG8INA77+jQoWwV7TPPUHupYoTH8A4dUn29BgeVJLr1Vu3fr6oqgi9JjPD4K0miKNLLL+v06ezG+4oVqqri4TaliuBxUWGoINDatdqxI5vMz5unhQuz2hneSxFTelxYer/tu+/00EP64QcFgSortWGD6uq4FVfCGOFxAekS2ijSa6+pu1tlZYpjPf206uo0OEjtJYwRHhcwtOP9sceya3VTpmj3bl19tcRkvpQRPM6V1t7bq/vv18GD2fC+ebMaGrIfoXTxv4dzpQP4mjVZ7WGoxYvV0CCJ2kseIzzOkt5d7+rStGkaGFAYqqZGe/eqqkpBwGS+5PEXG2dJL9ctX66+vux9Mu3tqq6m9pwgePxPFKlQ0HvvaccOFYsaGND8+Xr0UV4dlx9M6ZFJXyBx/LhmzNBPP6lQUEWFtmxhD2yuMMJDOuNR821t+vFHFQqKIi1bRu15wwgPSQpDlZXp00/V2KjBwWzH+xdf6Jpr2PGeK4zwyN4b9csvam9XX5/iWGPGaMUKVVRk1+2QGwSP7Ar82rXaty/bJNPcrDlzWGaTQ0zp3aX//11dmjFD/f2SdMstOnBA48ez4z2H+APuLk36lVf0558KAsWxVqyg9twieGtRJEnr1mnbtmwy/8gjeuKJbPkN8ocpva/0K3p3t2bOVE+PkkQ33aSNG1Vfz6243GKEN5Vudw9DtbXp2DGVlUnSs8+qvp53vOcZI7ypdAz/5BO1tGS34qZO1ZYtuvFGiR3v+UXwjoZ2vDc06Ouvs+F9wwbNnctkPueY0g8nd38Q08vvSaKVK7Paw1BNTZo7N1uBgxwj+OHkbnY79AvNnat771UYqqpKr7+uJGGZTf4xpb+4TZvU26s5c1RRkb/s03F+YEBtbZo8Wc3No31A+FcQ/IWkl7Dr6/XNN2ptVUdHtlM8d9kPYZmNCeZw50kXo2zZos5OlZdr1iwpz0Gka2xy+svhXAR/IUGgd99VGGryZC1YoCjKLmTnEc+uskLwZ0sXnezapS+/lKTFi1VePtrHBFw2BH+eJNGHH+qPP3TbbVqyREnCrSrkBsGfIX3sS2endu5UkmjZMo0bN9rHBFxOBH+G9Db0Rx+pu1s33KBFi0b7gIDLLLfXokYsXXeSJHr4YR09qro6jR8v5XDhDZxxH/4M6T9FEOjECRUKuu660T4g4DIj+PPwJDfkF1P6M3z7rYpFTZqUTeOZzCN3GMr+K47V0qK779b69dmz3YDcIXhlb07bvl2dnYpj9fVJOdwVC4jgM0Gg1auVJLrzTj31FPvCkVf2wafb4Pbs0Z49ShI1NWncOHaTIK/sg083i33wgU6eVG2tWlt5EARyzPvMTtfSHj6srVuVJGptze69M7wjp4yDT+ftcayODh0/ruuvV2vraB8T8P9lHHwQqFhUkmjCBElqbFR1dfY5kFPeK+3iWEGgKFJXl2pqdPPN1I588w4+xTV52DCe0ieJfv1V/f2sq4MP4+AlLVmiRYu0Zw/Nw4Tl5pl0Dr97tzZtkqT77tP06QpDbr8j9yxP8fSyxcqVCgLV1WnpUsVxjp9LCwzxCz69Mr9/v3btkqSFC3XVVdmHQN65Br9unU6c0MSJevJJ1tLCh9mJnq6lPXpUmzdL0uOPq7KS4OHD6UQfWnGwfr16enTttXruOWqHFbMrVWVlOnVKBw5IUnNztqgWsGG20i59LezJk/r4Yz34oG6/nWt1sGIZPHfg4MopeJ4/DXtOY12S6IUXVFWllhbV1rJnBoY8gk/b3rdPb78tSXfcodpa5vYw5HHGp8GvWqViUVOnauZMSUzvYcjgpE+/uh85kj24bv58VVZqcJDgYcjgpE+vSr7xhk6dUm1ttpaWyTws5T34JFGxqDDU778rijRvnqqr2SoDWx635eJYP/+snTs1fbomTpR4UiVMeQQPQFL+p/RD4lhRxCsiYY4RHjBiM8IDIHjACsEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4Dkogoyg8l0pEAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [-12.03293707489132, -5.077329799355587, 3.7960509430946368])", "action": "('move', [-12.03293707489132, -5.077329799355587, 3.7960509430946368])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjElEQVR4nO3dzY+dZRnH8es+Z9hAk6btSnnRJoAW2kh4EWJF3jRIjBATSqKswOgGkIBK+DcIIRpDsQu0lCkajFTEl0Rj0EggLIVESwJsCG2ZmtrOcM5zuzijBCKuiCPP7/NZNZ3N0+b+znXOM9dzpvXeC8gw2egLAP53BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBP++eq/ZrHrf6OuAD07rTvR/NQxVVRPfGBkFB/l9vfpq7d9fk4naGQ9n+T9YvOh54IG6/fa6/PLau7dWV9/5e/jw8pL+vRb/H0eO1Cc/MRw5Oqmqa66pgwdr69YaBtOeDzfn972GoVqrhx7qR45OlpbqtNP6LXv61q01m6mdDz1H+F16r9bq6LE6sL9X9dmsLtjRbrqpelc7Y+AUv8vs7ZpMav+jw19faa21qn7jjf0jH23zueAZg6WNvoD/I8NQ06U6frx+8tO2tlrV6qyz2m23r499GAFj6x2Le3K/fmb43e9rMmnV+5e+OGzfXvN5TacbfXHwQRD8ut5raanW1mr/gTaft6radEbdefekbN0wIs7yusVP4577cz/0VE2n1Xt94fPDzp1VgmdEnOWqWr8JP5vVjx9r/zjZ2qR6H+67f9q7ZRtGxeJN1b9+Gnf4cO3aVaurNZvVddf2p59uS6dt9JXBB8qEr6r1m/APP1wnTqz/+e572nRp/ckZGA0Tvqqq91pZqfPOHY4emwxD7d5dTz5Z27bZpWVsHOeaz6u1+t5Dw5tHJq1Vq37rrbVtW1m2YXzST/Ti3fvK8frRo1XV5/O64MK68cu9quzaMD7pwS8eiXl8//Dy3yaTSavqX7mpn3lWm81qYtmG0YlerV0s26yu1mMH2ttr1arOObu++rVml5axip7wi3fvhw4Nz/6pWqtq/bqrhwsubLOZXVrGKTf4xbLNqVO1vNxOnWyt1abT61v3TqvUzmgFBz/UZFIvPN8PHeqLXdqrruoXXeTRd8Ys9Gj3Xm1Ss1kdPNhWVlpr1Xu/7/6JTRvGLXTxZnFb7pVXaufOOnWq5vP63JXDb347WYq+icn4hU74xU34ffvqxIn1F/D33DtZWvKoDCOXO+GPH6/zz68336ze6+JL6lfP1JYtPtyGkUuc8IvPpX1k7/DGGzWZVO/967f1LVs8KsP4JQZfVSdP1t69rVXN53Xeee2GG1qV8c74xQW/2KVdfnz4y0vrH3Rxy83Dxz5elm1IkHVXejHDh6H27av5vKrVOWe3Pbe01sx2ImRN+MXnz/78Z/3559viSdirrx4+dZHxToqg4HtVa3VqtZaX6/jfq6rOOL3uuGtaZbyTIij4YVbTab34Qn/q6T6dtt7rs7v7py+r3o13UqQE33tNpjUM9cQTdezo+kD/9ncnkVsI5EpZvFl8Ot3hw3XJJbWyUr3XFZfN//DHqedkiJJy3hdhHzhQx44tlm3qnu+onTgpE76q3nqrdu2q11+vqtqxo559tjZvtmxDlogZt/ieduCx/tpri18j1e+4ozZvXt+xhRzjD35R+3xeDz7YW6v5vM49t11//TtfghzjD34xxpeX+0svTxaPyuy5edi+3bINica/Wtt7zeb1g+/32axaa2ee2W7es37fDtKMfMLPZrW0VL/8RX/hxdZa671fe02/+OLmt8qQacynfnEHfj6vg8t9ZaWqatOm9s1vrH/V7ToCjTn4xaMyzz1Xjz8xqWq912eu6LuvbMPg3Tuhxhz8dFrDUDt21A8fqUsvrem07rzLYCdayuLN2lqtrdWmTRt9HbChxh/84t9nsEMl/FhO6vBvY34PD7yH4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIPwFsWfQv+4YimgAAAABJRU5ErkJggg==", "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": "2ed0c889cf5751d95a6a43d9849e6930086e5f817319319e09e1c0977a3b2700"} +{"episode": 8211, "episode_seed": 779249941, "split": "train", "timestamp": "2025-09-15T22:48:06.435441", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 779249941, "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', [-2.4902951989444166, 3.5772227232538722, -23.869160918008372])", "action": "('move', [-2.4902951989444166, 3.5772227232538722, -23.869160918008372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.4902951989444166, 3.5772227232538722, -23.869160918008372])", "action": "('move', [-2.4902951989444166, 3.5772227232538722, -23.869160918008372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.4902951989444166, 3.5772227232538722, -23.869160918008372])", "action": "('move', [-2.4902951989444166, 3.5772227232538722, -23.869160918008372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "d9fbf100c612d2d156a62aa609eff100e4a04fb5396a3ba8c521c52f12a5dd85"} +{"episode": 8212, "episode_seed": 2868876693, "split": "train", "timestamp": "2025-09-15T22:48:07.045312", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2868876693, "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', [-1.6554702587961059, 0.37972065178648573, -14.22439460479787])", "action": "('move', [-1.6554702587961059, 0.37972065178648573, -14.22439460479787])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.6554702587961059, 0.37972065178648573, -14.22439460479787])", "action": "('move', [-1.6554702587961059, 0.37972065178648573, -14.22439460479787])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQElEQVR4nO3dX4hUZQPH8d/8cwVNslJLM0rqQosV2TA101bRFqE/hJC5CxW14b8oU7soIyxdo7YCK6GbWhQiEnVR1ERWYoMklSQwK/EPhRfW2ppkas6cOV2c0+76wsv7pu3Omfl9P3ix7C7MwdnveZ55zjNnUmEYCoCHdKkPAEDfIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCr2jFooKg1AeBBCH4ChWGKhSUTiuT6ZsHLBaVzysM++bRcJkIvhIViyoWlc2qo0Pbt+v8eUm93WI6rVxOqRRTikQj+IpTLMYD+4YNmj1bDzygbdt69QGjM8kPP2jlSp0/r0yGcT65CL7ipNM6cECzZ6uhQe3tCgIdPixJqVRvPFrUdqGgV17Ryy/rvvvU2tpLD4V/QbbUB4B/STSwd3Zq9Wq1tOjUKUmqqdGqVZo0Kf5p70iltGOHNmxQVZW++EIDB2rWLPXr10uPhiuSCpl+lbUgiEtOpbR5s5Yu1bFjknTjjVqyRAsW9HZ5xaLOndO4cTpyRLmccjlt366pU3v1DIPLxwhftsJQQaBsNv5a0okTOnZMgwfrkUf04osaObL7R70zyY6qfvVVHTmibFb5vBYt0pQpCkNm9QnFCF+eugbQQ4c0bJgGD1Y6rdOn9eabmjJFdXWX/E7vKBSUzWr/fk2bpnPnFAS69Va1temmmxQEfXY1EP8MwZebrtHz7Fm9847Wr9f8+Vq8WOpReKGgTKZXB9kwVBjq4kXNnq1t25ROK5vVe++psTE+ESCZCL589Jwof/KJVq3SwYOSNHasdu3SkCEKQxWLkvpgeI2q/vBDzZsnSfm8ZszQ1q1x+cznE4t1lfIRZbR/v2bNUn29Dh7UgAGqr9fGjbrmGhWLSqWUyfRB7cWiMhkdP67mZuXzCgINGqSmJlVV9fbEAleKuVey9VxyO3lSb72l99+Pd85NnaqXXtKMGX1/UNHhrFmj775TLqd8XgsW6M47WZkvA0zpE6yr9mgy//nnqq2VpLFj9fTTmjdP6XTfRxYdy5dfqrZWQaBiUbfdpv37NXBgfLBIMoJPpJ4D+4UL6t8/fn2+YoU6O/X88xo1Kl43K8WQGgS65x7t2ROfcFpb9eCDXIorDwSfMD1T//57LVyo6mo1N8evzP/8U1VVkpTPl2RxLJpPrFmjZ5+NJ/Nz52rduu69P0g4gk+SritanZ1qbtbatTpzRpL27NGECd2z9xK9Vo4e9vhxTZqkX35Rsajhw7Vjh6qrufBeNli0S5JsVmfOaMsWrViho0cladQoNTbqjjukv1/MSyWpPdrXFwRavlwnT8bvhH3mGVVXc+G9nPBEJUMYKp/Xrl1au1bbt0vS4MGaM0cvvKCbb45/p6Qz5iBQLqfWVm3dqkxG+bzuukuNjd17+VEWmNKXVNd/fiql06dVU6PjxyXp4Ye1aFG8Jp+AATTaznPqlO6/X3v3KpNRNqvWVtXVMZkvM5ycSyFaYJeUSsX/wlCDBmnhQo0apY0btW6damtVKMQ3rin1waZSSqf10Ufau1e5nIJAc+ZQe1lihO9zPXe8f/yx9uzRypW69tr4O52dGjo0/rrUqUei4A8d0oQJ+uMPhaGuu07ffKPrr2dZvvwk4k/KSNeV8337tHKltmyRpJoaPfVU/F7XoUPjTbLJqD0Shlq+XL//Hl+Ka2rSDTdwH6uylKC/KheHDqmlRe++qwsXJOneezVyZPeJoER7af6baDry6afavDleq5s+XXPnUnu5YkrfV7ruV7Fkid5+W5KqqzVvnp58Uv36JXOfWrTU0NmpiRN19KgyGV11lbZu1d13s22+XDHC95VocU5SQ4Pa2jRzpubP1y23SErs2ld0gmpqim9oUyjoiSc0fnz8dnuUI0b4Uujo0JAhUl/cqeKyRYuG7e166CH99pskjRmjnTs1YkRiT1D435iWlUJUe3TJLZG1RzP2ixfV1KTTp+MFxKVLNWKE8nlqL2MEXwql2yH7f4qWFFpatHNnvFZXV6fHH1cYJurqAf4xpvT4T9Hw/tNPqq3Vjz9KUv/++uorjRkj8Za4MpfcQQalEiX9xhs6diz+rLhly3T77d0/QvlihMclosl8e7umT1cqpXxe48Zp924NGtR9nQHlixEel4g+ZnrxYhUKkpTN6rXXdPXVEsN7RSB4dItevTc36+uv47W6hgbNmBFv9kUFYEqPWHR1/fBhTZ6sX3+VpGHD1Nam0aO58F45GOEh9fjU5xUr1NERf/O55zR6NPvqKgojPKS/99Vt2qT6egWB8nmNH6/du/lsiUrDLgrEnyTz8896/XVduKB0WlVVWr1aAwbw6r3SMKVHfL3tgw+0b59yORWLeuwxTZvGW+IqEFN6d9Hz/+23mjhR584pldKwYTpwQEOHJvM9u7ginMDdRcP7smU6ezbeV7dqFbVXLIK3Ft2Odv16ffaZslkFgWbN0qOPckObisWU3lf0zHd0qKZGJ05039Bm8mQuvFcsRnhr0Xx+5kwNHKggUGOjJk9WocBaXcVihIckbdqkLVvU1KThw1mcr2QEDybwRggekhQEkpROszJf4QgeMa7DOeC1GmLU7oDgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASN/ARYK8M9HfgsMAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [-1.6554702587961059, 0.37972065178648573, -14.22439460479787])", "action": "('move', [-1.6554702587961059, 0.37972065178648573, -14.22439460479787])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIUUlEQVR4nO3cTaxcZR3H8f+ZuQNdEFJSCBi0umMFgrFuSKBdQViJBtIoBBoReRF5WdCglFqx2ogmgoQXQYmiaQjYBDYsDDRUVwZ532uBGAgBmsoC78ycx8XcXKsSg6TMve3v81nenMXZfOd/nuc893SttQIyDFb6BoD5ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEEfxRrrWVvgNWE8Eftfq+Wquu0zz/IvijUGs1HtdgUF1Xr7xSW7bUyy9Xa8qnFlb6BjjMptMaDGo0qr/+pf36V3XHT+q997qDB2vPnpW+M1aBrvnZP4pMpzUc1nRav3igv+fe7sWXWtVgYaEmk3r44brkkur7GniqC2bCHw1mP9pdV8NhPfX79sNd9dTTXVU3GnXjcU0m7fzzu9NOW7qGZCb8kW22Mp8N7VdfrVu/0z/+eHfw791woaaTqqrPfLq//fbuixd2xx23snfKqiD4I9hkUgsLVVVvv10P/bLt/H5/4OCwarYz39ata1suq2/fOjjhhKryME+V4I9QfV/TaY1GtbhYTzxRO3fWCy9UVY1GNR7XmmPrggv6bbcNzjxz6frZ+zkQ/JFntjNXVU8/3e67rx59tKuqY46pxcWqaps2tmuv6b58UVemOv9F8EeS5UH9+uu1a+d09yODd96thVHXT6vv69RT65Zb2ubNtW5dN51W16md/yT4I8PyrJ5M6u6f9T+9s9u/v6q6wbD6aQ0GdcMNdf31tX59VdV4XAsLnuH5AIJf7fq+qmowqPFiPfNM27q1Pfd8V9UtjGoyrtFCbdrUdu2qsz7XHXoxfCDBr16t1WRSo1FV1Usv1R0/ar/5basajBZqPKmqdtZn24031qWXDZavN9X53wS/Si3P6tdeqwcfrLvuqgMHlvbqptO2fn1dsaW/7obh2rXV99V1UudDEfyqs3xsrqruu7f9/IF6/vl/24e/+qp25TeWXrkt79jDhyH4VeTQZ/K9e9uO7f2+Pw5ba7MTslW1aVNt397OOafruhqPazi0XOf/I/hVobWaTpeOze3fXzu2T3c/Mnj//RoOu+m0qmr9+tqxozZvrjVrqgx2PirBr7zlet94o3bvbrd/r9490M1Gd9+3U06ur3y1tm3r1q6d/cWKnY9O8CtpeR9+Oq3HHqsf39Ge/XOrbnDMqBYXa9D1F1/c3XRTbfhCVzbhORwEv2KWz9Ls21d33ll79rSqbnYYvqqde25d/6124ZcG5SANh4/g5+3QTfg336wd322P/a57660aDqu16vs65eR222110cXdiScufZfOcp3DxQcw5mp5ub74j7r//rbrB/3f3hxWLX2mZs2auuJrbevW7pOfqqqaTOzDc5iZ8PMzW4SPx7V3b227pf/Tc4OqWjohO6qNG2vnztqwYenK5c9awGEk+Ll69tm655720ENV1S0fpNnw+brm2rr88qU1us05Pj6Cn58nn6xLL2lvv9MtLMxevLdPnNy+eV339Su7k05a+tqs1PlYWcPPw2xoH398Tabd7BuyVf1VVw2uubqdfkZXVePx0j/JwMfKMnEeuq76vs4+u26+uSaTtvHc9od93d131+lnDKbT6nu1Myce6edk9tZ9//568cU677w69tgqJ2SZO8GvjEPfxsPcWMPP1XLnUmdFCH6udM7KsmkHQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4JSPr2hM/W+psAAAAASUVORK5CYII=", "image_next": "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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": "174c885e83f22b2db49a0831b33791a28a929763c30248d4e507f0c27f99c771"} +{"episode": 8213, "episode_seed": 4209744118, "split": "train", "timestamp": "2025-09-15T22:48:07.657472", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4209744118, "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', [19.823403998528956, -94.92280795979688, 34.939231864482906])", "action": "('move', [19.823403998528956, -94.92280795979688, 34.939231864482906])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKrUlEQVR4nO3dT4hdZ/3H8c+9udOaVKiImD/a2sSSSW2lFv/UtEmruCi4kaIEBMXWlQiiYFVE3CquREpx4V8ogrTuAoIbtYkttVhjF2k0GTASWydEwWg1N5m597i4ZyZj2qT9/RRnzvm+XqszJ7N4CLznec5zzz1n0DRNgBqG6z0A4H9H8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyGi9B/AfaZr2YDBY13FAR3Q4+Ok0QwsU+L/ocDHDYZaWcupUzp5N1sz2wOV0NfjxON/5Tj7xiezfn4ceSpLl5fUeE2x43VvSN02aJtNpHnggf/1rkjzzTC5cyNxcmsbFPFxJ92b4wSBNky1b8v73ZzTKcJjf/jZ//GMGg0yn6z042Ni6F3xW9uT37s3ycpomR4/m5MnEZTy8nA4Hf/fdGQ6zaVMmkxw7dvE8cDkdDv6mm7J1ayaTJPnVr7K0lE2bTPJwJZ0MfmY0yr59beG//GX+/Of1HhBseB0OPsn+/UkyGuX48Zw5k7iMhyvqavCzsO+8M0mGw0wmOXKkPQYup9t97NiR66/PhQtJcviw6R1eRreDf81rcvvt7fFjj7XlA5fT1eBnt9+86lXZuzdJ5uaysJDnnlvvYcHG1tXgk/a+ultuaY8Hg/ziF4l9O7i8Dgc/+zT++utzww2ZTNI0OXw4ETxcXueDv+663HZbe+bxx9dxONAB3Q5+eTlbtuStb23PLC5mYSHDoUkeXlqHg8/K6v3mmzM3lyQvvNBO8r42By+p28HPbrN5y1ty3XVJsrSUJ55IBA+X0fngp9PMz+eGG9ozR48m8S0aeGndDn52GT83l/n59sxzz+V3v2v/EACX6HbwWVnVv/OdueqqJFlczNNPJ1b18FJ6EvzevXnta5NkPM4zz6zviGDj6kPw02l2787rX9+eOXYs589nNDLJw6U6H3xW3kjxtre1Px4/nt//vr3ZHlirD8HPVvX797cHCwtZWEjcYwsv0ofgZ/fY3nVX+9TqySTPPnvxPLCqP8Hv3p0dO9rr9iNHMh77NB4u1YfgV919d3vw1FM5fXpdhwIbUk+Cn83k+/YlyWiUkyezuHjxPDDTk+BnVp9pOZ3m179uj4FVvQpi27bceGP7ZLvHH8/S0noPCDaYXgV/zTW5444kGQxy6FDG4/UeEGwwPQl+dpvNVVe1wc/N5dSpnDqVuIyHNXoSfFa+LXPzze1H8YNB+4g7YFV/gp99Gv/GN+bGG9tnWh46tN5jgg2mb8Fv3553vKM988QTaRr328FFvQp+eTlXX51bb02S4TBnzrQPwHEZDzP9CX7Vnj25+upMpxmPPdMS/k2vgp/dZrNnT3buTJLJpH0XjeBhplfBDwaZTrNrV9785vbM0aOZTDIaWdVD0r/gl5czGuWmm9ozp0/n6NH2DwHQq+Czsqp/+9uzeXOSnDmTp55K0wgekr4G/653tY+4W1rKb37jkzlo9TD4ySQ7d2bbtgwGGQ5z4kTGY5fxkPQv+Ky8K/6229qV/JEjLuOhNVrvAfz3bdqUJHfdlccey+23533vy65die/GQzJoerrSnU7TNG38wExvgwdezDIXChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMG/YrMHX0OXeUz1y5n9/3g9Hb1ghr+i2WurZrU/8kh+9rP2JHST4K9oOMz58/npT/Pe9+bDH85nPpPz59d7TPD/18N3y/13NE3OncuRI/nGN/Loo+3J7dvz/PPZuTPTqVfV0UWu4deYvW52toYfDHLyZObnc+FCkuzfn/vvz8c+luEwTeOSno4SfJLL7MwtLeUjH8nTT+cLX8i99+Z1r7OBR9eVD35tw3/7Wz7/+Vx7bb72tXYa/8tfcvZs+7rppaWMRmqn02oHv7yc0ShJ/v73fPe7+frX84c/ZDDI4cO5886L/zqZZDBw0U4P1N60G41y5kx+8pN85Ss5dixJtm7NPfdkx44k7eW6t8zTI/Vm+NlavWnyz3/m4MF885s5dChJrrkmH/hAPvWpvPvdF38N+qVS8JdsuZ09mze9KWfPJsmBA/n4x3PPPUmyvJxNm9ROL9UIfu3H5ufOZfPmdgL/6ldz8GC+/OW85z3ZvDmTSRILeHqs78GvvTd2YSEPPJDxOD/6UV796jRNJpP84x+59trExE4JvQ5+aSlzc0mysJBvfzsPPZQXXkiSRx/Nhz50cRN+7R8F6LVe79LPzeXEiTzySB58MKdPJ8mePTlwIHfckaws3ZvG523U0bsZfnV3fTzOgw/m+9/Ps88mybZtuf/+3Hdfdu9e3wHCOupL8JfswDdNlpdzyy05fjybN+eTn8xHP5pbb03cMEdp3Q9+9o2X2fp8PM7zz2fXrnaeP3gwP/hBvvjFNnWb8JTX8eBXt9bPn8+TT+ZLX8qf/pQf/zjz85lM/q3tS36Ekrq8abe6CX/4cL71rTz8cHv+5z/P/PzF58/NZnu1Q7eDn5vLk0/me9/Lww/n3Lkk2bcv992XD34wWbN0d7kOKzoY/Gzqbpp89rP54Q+zuJgke/bk05/Ovfdm69b213QOL9LB4AeD9laZEyeyuJjt2/O5z+XAgbzhDYlNeLiSLm/aTac5dy6DQbZsaX9M3EUDV9Dl4NfybVZ4BfoyH6odXoG+BA+8AoKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+BeDuipW2Z3jIAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [19.823403998528956, -94.92280795979688, 34.939231864482906])", "action": "('move', [19.823403998528956, -94.92280795979688, 34.939231864482906])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [19.823403998528956, -94.92280795979688, 34.939231864482906])", "action": "('move', [19.823403998528956, -94.92280795979688, 34.939231864482906])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIEklEQVR4nO3cX6jfdR3H8ff3+ztHphiFbgzvIopNXHgVhIUWNG9K1ItkWzQXLZOBJ9ELXa0CKbLWVVvhEYah6x8IuoUSKghehH+6FbxorvJGMJno8s/O+X0/XZzfjmczzD/Q6Xdej8ft73zhc/M87+/n8/t+f11rrYAM/WovAPjfETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEEfz709pqrwA+BMG/V63V4mJ13WqvAz4Ewb8nw1BdVzMzdepUlTnP1BL8u1kOu+/rpZdqz5669dYahjM+gikys9oL+D/VWrVWfV9V9frrdfDAMD/fPX+867q68sq66qpaWKjZ2dVeJbxPJvzZlvfqfV+vvlr33dsu/fRw2+3988e7deuqtZqfrzfeqNlZQ57pY8KfYTye7NVPnqzHHm133llPPV1V/exsLSzUm2+2LVu6rVsd3TGtumZOVdXpwb50l370aB06VEePtqpuKfWqYdOm7utfG27cM7rwwlVeKnxggq+qam0ytB97tM3P14NHuqX4h6HG43bBx+qmm2r7jm7T5qqq8bhGo9VdL3xA0cEPw+RYrqqefbZ+fMf4T4+OTpxoXdd1XQ1DzYza3Hdq9+66+OKuqhYWajR6+xKYOqHBD0O1NhnUL7xQ+386/vW9/WuvVVXX9dWGOvfcuvrq2revLrnk7L+H6RV3aLdyr/73v7Xf/q72/6ydeGXUdTWaqfFiW3dOXX5FfXdvd/kVk0tW3gjAVMua8IuLNRpV19WLL9Yffl8HD7a/HquVJ3Nbv9Tt/ma7bltfpx+tcSDPWpIS/PKDNAsLdffddfhwPflkq+rOma1TC1U1vuyy/sZvt69e169bV4uL1femOmvQGg/+rCn9m8PtwIH21NN9VS1P9U98vL63r/vyV7qNG6uqFhdrJm6jQ4q1HPzy92fjcT3xRP1g3/ipZ0ZLJ+3jcVXVhg11+21t167uggurVtzww1q1NoNf6nk0qmGovzzT7vxJe+BIVfUzM7W4WFV10UW1fXvt3Vvr11ed+eQ8rGFrLfiVh/DPPN3uuafuuqu16mdGNbQahtqwvl1zbd1yS7d589uXmOqEWFPBL39/9txzNT/fDt/X/vlyPxpV19fiQvU17NzVfWNXu/yKvuzVibQWgl85ol9+ufbvr/vvr2PHqlaczF17Tc3N1Re+OEndITyZpjv41moYJidzb7xev/xVO/CL9o8X+qo6vV1vn/1Mu+NH3ec+3513XpXBTrZpDb61Go8n6b5yoj30cPfD7w/Hjq9MvbZsqb17a9u2yTAfj6vvbdeJNpXBL7213vf1r5P1yCPDz/fXn5+sqv70UzTt0ku7nTtrbm7yH8Ezc7Bk+oJf3rEfPTIcOtQd/WNb/oGKqvapT9b119fub9XGjZ3O4SzTFPxywI8/XgcO1MMPtbdOdf2oqtUw1Ec/Mszd3O/Y0TZvnrzK6jfn4CzTdH7VdZOH5x58sB54oPp+8tLLObPD7htq7uZu06aq6pYO4dUO7zRNE37ZW2/VMEzeUV+6wz///KozD+2Bd5rK4P+jNlTnq3V4V2snEbXDf6USCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPJvI0LbGfB5It4AAAAASUVORK5CYII=", "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": "493c9103bf06046034de64ebda7dd8fc42a625be6d9ccad3564f4237c98490b4"} +{"episode": 8214, "episode_seed": 1698552252, "split": "train", "timestamp": "2025-09-15T22:48:08.592446", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1698552252, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [60.56872702046676, 30.59856680822041, -49.29599217722831])", "action": "('move', [60.56872702046676, 30.59856680822041, -49.29599217722831])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [60.56872702046676, 30.59856680822041, -49.29599217722831])", "action": "('move', [60.56872702046676, 30.59856680822041, -49.29599217722831])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [60.56872702046676, 30.59856680822041, -49.29599217722831])", "action": "('move', [60.56872702046676, 30.59856680822041, -49.29599217722831])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "b0a5027e67a98077eb25f4d320691eda17d62cfab329548a49b565b428afc60a"} +{"episode": 8215, "episode_seed": 1838129371, "split": "train", "timestamp": "2025-09-15T22:48:09.202331", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1838129371, "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', [2.0727643251214283, -16.30425743790649, -24.767355110976606])", "action": "('move', [2.0727643251214283, -16.30425743790649, -24.767355110976606])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.0727643251214283, -16.30425743790649, -24.767355110976606])", "action": "('move', [2.0727643251214283, -16.30425743790649, -24.767355110976606])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ7UlEQVR4nO3dUahlV33H8d/a59yLcxmMyYxJGKFFW2oyoRMYFWml5EEnMCiEMI2DJNUQhAQKKuZBMM/VFwXrgxCEMC+dtIRBoyaiCRJEBpWgzvRBwZeaKpEY4wzDTHoz9+zVh3MmudNGaKn2cvf/83m8T/vA/bL2WnvttVvvPUANw05fAPD/R/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8hfSecdzpi9hRgqeKra0kGWr/y9f+9ZTRe+bztJZf/CK97/TV7BzBU8Jikccfzx135IMfzObmTl/Nzpnv9AXAH9dikdksjz2Wj340ly4lycmTue++jGPF2/t6v5iS3v727NuXtbXMZvn857NY7PQF7RDBM3HDkK2tHD6c48dz+XJ6z89/nkceWf29GsEzca2ltSS5774cOJBxzOXLOXEiFy6ktXILeIJn+mazLBa5+ea8//1JMgz58Y/z1a9mNis3yAueElrLOOYTn8g116T3vPxyTp7M+fOZzWoN8oKnhOWC/MGDueOO1TP5p57Kd7+bYai1907wVLGcyX/qU1lfzzhmscjDD+fll2sN8oKnimXwBw/m+PGMY2azPPFEfvCDQrVH8JTSe3rPxz+e9fUkaS2f+9xry/gVCJ5Clm3femuOHctikWHIN7+Z738/SZVxXvDUslhkPs/996+m7uOYz3wmETxM0jCk97z73Tl2LOOY1vKd7+T06QxDif22gqeW1rK1lTe8Iffck42NDEMuXswXv2iEh4maz7NY5H3vy223ZbFIa/n2t/PDH5bYeCd4ylluod+zJ/fem42NJPnd7/LII0mB83Cm/vvg9SwH+TvvzKFD6T2t5StfyY9+NP1X6ARPUa1lbS2f/GRayzDkN7/JyZMZF302bk14+a71IosV8Hp6z+HDOXs2SfbvzzOnc/OfZZzuSDjV3wX/I63loYeWO237Cy/k5D/8qj/6L8NyL84U36oxwlPXcvZ+8WLe856cPZM2y5sWv/7X/MWB40f6P59qW1uZT+3QRyM8dS1fkt/YyIMPpiez1l+a3/jw8PfJZOfwgqe61nLkSN71rlzeyjD0L/X7f/sf+9KnuRVH8JS23FF744358Iczm7WW9mK/4R/P39taxinWMcGfBP8ry304d96ZW27J4pUke/7p3//mhRfSZsP0lu0ET3XLQf4tb8ldd2WYpbU892/9y1+e5us0gofVyXYPPJA//ZMk2Vq0U6fyy19mPp/asznBw+qd2f37c8/dvfdxPs+ZM3n88dUy/pR4Dg/JlQMwXjyfW27Ni8/1nvbOd+Yb38gNN6we10+DER6SpPUxLW9+9uv37/96T1ub59ln8/TTU3s4Z4SHJMlyX93dx3918olD7blz7dre26FDOX06GxvTGeSN8PCa/uYbDwyXHuhfGsc2y+LMmTz5ZJKJ1B7Bw3a9zduYv7vmiX1/njHjMOSzn00mdMSl4OE1bW3W02+6+fK9d2fsrbX85Cd57LHpLNcLHl7T5vMxyXr/0LHse1PrvY9jvvCFvPLKRAZ5wcM2s9ksWby0OPyXOfa3bRxX35b+2tcmcsSl4CHJlXW5+TxJH3tLPvKRtu+61belT5zI5uZqf86uJnjYZjZLMh/Grc2tv/rrvPe96T3DkKefzlNPTeGIS8/hYZtz53LuXPbsGfdfP8za6dO5/fZcupTec9ddefTR1Qeqdu9TOsHD61uG/YEP5MknM5tlz56cOpUjR7JYLO8DdiW39PB79Z6HHlp9nerChTzzTJJdXHuM8HCV55/PT3+ajY284x1ZW0t67+3o0fzsZ/nYx3L0aG66aRffz0fwsLK8Uz9xIg8+mLe9Ld/6Vq67Ln3sGZ5/Ppubeetbk+zuCXySqZ3CC/8nm5t56aW88Y2r5fieNuTAgSSrz07u9o/PCR62WV9Pa/9lk03v6X13T91fJXjYZrm3ZrHYfpxda7v7Nn67XX6DAn8oy6bX1pJkHCd4fmUSwcNVXr1xn8bLcf+N4GGb+Xx1Tv1u30P7ewgerrZ8XWaiwVu0gyRX5vAHD+bTn86112b//tf+OCE23kAhRnjYZvlMbrnDZnLDewQPV3l1M90Ua49FO1hZzm3PnMltt+Xo0Zw9m0zw4ZwRHpJceS3mwoV873vZuzfnz6/+OC1GeNhmfT1raxP8auwVgockVybts9nqDHpba2H6ljvtxnGqG28ED9ss99L3vrqlN4eHKZvPM59nGKZ6S2+VHrYZhly8mCSbmzt9KX8Ugodt9u7N7bcnyfXXJxPcfmMvPWyzWOTcubSWvXuzvr7TV/OHJ3goxKIdXG15ZuVEmcPD1SY3b9/OCA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4X8J+oqR4TUAfGWAAAAAElFTkSuQmCC", "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', [2.0727643251214283, -16.30425743790649, -24.767355110976606])", "action": "('move', [2.0727643251214283, -16.30425743790649, -24.767355110976606])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "58c24da157a1661a07cd4152730ec16ec2f81a7d2eac4a7a69c388ee5aaa6ff0"} +{"episode": 8216, "episode_seed": 1209346377, "split": "train", "timestamp": "2025-09-15T22:48:09.815464", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1209346377, "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', [-170.13649313151316, -126.34057393061418, 17.71614980698776])", "action": "('move', [-170.13649313151316, -126.34057393061418, 17.71614980698776])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALbElEQVR4nO3dXYhU5QPH8d85M7Pu4svfNkmTEmSVUnJLTZSuIoRIL5YUAgNTw17AJCGoIOsqsroIQiMx01LbwBfCMhKKQMI3xBaLyizbVCQKXMmXHd2dOed/ceavYbs6o/afzvl9P1cyV8/KfPd5znOeczaI41gAPIT1HgCA/x+CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDVxZFiqJ6D+J6IHjgCqJIYagwzELzBA9cThwrDNXZqT/+UBiqXK73gK4NwQP9imMFgY4dU1ubHnlEv/+uXE5xXO9hXYMgTvXwgX9MUvupU5oxQzt3StKdd2rTJo0ZI0lBUN/RXSVmeKAPSe3lsh59VDt3qqFBks6d08CBaU09ka/3AIB/nThWqaQg0DPPaMsW5XLq6dGIEdq4USNHVvbwUiq1Awf+GXGsclmFgpYv11tvKZ+XpKFD9cEHam1VuZzi2sU1PPBXcVzZlv/oI82bp2Kx8vmaNZo7V+Wycrm6ju+asaQHLkpq37tXjz2m06eVy6lc1ssva+5clUqpr13M8MAFycX54cO67z4dPapCQb29evxxrVwppXZb/hIED0j/q/3kSd1/v/btq9Q+c6Y2bVJTU2XTPgPSvP8AXCfJmdlTpzRvnvbtUz6v3l5NnKhVq9TUpCjKSO0ieCDZqIsiLV2qTz5RoaBSSaNHq71dI0emflv+Ehn6UYDaJVe0uZzefFNvv62GBpXLam7W++/r9tuzsC1/Ca7hYS1JeuPGyl235Ep+/XrNmaNSqXITPkuY4eErqX3HDi1YoJ4eBYHiWMuWac4cRVEGaxczPGwlk/nBg5o+XcePV7bln3pKy5dnZ0/+7wgejpLak+deOzqUz6tUUlub2tvV2KggyGzwLOlh58JNuMWL1dGhhgaVSpo2TatXq6lJysoZmz4RPLwky/Uw1AsvaOtWNTaqp0djx2rDBg0blu4n4aqR6R8O+JvkFM2yZVqxQoWCzp1Tc7PWrlVLSwZvwv0d1/AwkiT93ntasECSwlANDdqwQbNnZ39uTxj8iIAkKYqUy+nzz7VokcJQ+byiSK+8otmzKw/JOfD4KWEvOSG7f7/mz1d3t4JApZKWLNGSJZWX25hgSY/sS1byR45o1ix9/bUaGtTTo4ce0rp1KhQkuUzvInhkXrItf+aM5szRtm1qalKxqHvv1datGjLE5dL9giyeHgT+Irnr/vTT2rZNhYKKRd12m9ascaxdBI9sSxbzL76oNWsUhurt1U03af16jR7tWLtY0iPDksX8qlV64onKnvyAAfrwQ7W1mdYudumRVcne+8cfa8mSyp+UiCK99pra2lQqmdYugkcmJY+y792rRYtULKpQUBzr+ee1eHE2n3KvHkt6ZE2yXD9yRA8+qI4ONTbq3DnNn6+1ayVl+dHXahA8MiX5Op85o1mz9MUXlVvu06dr82YNGWJ0oq4/BI/sSF5HKWnuXLW3V55yHz9en32mUaPc5/aE8dUMMid5ccVzz6m9vfIGmxEjtG6dRo3y3Za/BP8HyIhyWZJWrNDrryuXU2+vBgzQO+9o8mTrbflLsKRHFiQHbLZs0cMPq1yuvI5y5UotXOi+LX8Jfu8hI5I/89zcrHJZpZJeekkLF1YeicUFzPDIiGRPbs8ePfmkJk7Uu+9W9uTZqPsrgkd2JAv7X3/Vf/6joUOlTL+O8uoQPDLlwnvpuAnXJ4JH1iSvqaT2PhE8YIRdesAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYK/kjiu9wiA6yZf7wH8iyWpB0G9xwFcN8zw/QsCBYGKRSZ5ZAbB9yUp/NNPNWaMZs1SV5ckRVF9BwVcO4K/rMOHtW+fDh2SuJhHFhB8/+6+W01NOnFChw9LzPDIAoLvS7JRN3iw7rpLQaAff5SkXI5JHmlH8P1rbNSUKYpjHTig06cV8n+F1ONL3I84Vhhq6lSFoU6c0KlTlQ+BNAtivsR9imMFgbq61Nmp1lbl89yQRwYQfBWiSFGkPIeUkHoEDxjhGr5/ya/Cri5t3qw33tDZsxc/BNKJGb5/pZLyeW3frtmz1d2tn37SmDGVa3sgnZjh+5eEPXy4hg2TpI6O+g4HuHYE378k+LFjNW6cgkB79jC9I+0Ivn9hqN5eDRqklhbFsXbupHakHcFfVrLBMX68JH33nU6evPghkEIEf1m5nCS1turGG9Xdrf37JYJHihH8ZSVr+AkTdPPNiiJ9+aVE8Egxgr+s5DJ+6FC1tOiGGypLeiC1uA9/JVGkMNSePTpzRpMmqbm53gMCrh7B14g7c0gzlvTVKZcr/6B2pBkzfNXOntWOHZI0Y0ZlnQ+kDd/aKiS/E5cu1cyZevVV9fQoCNirRxoRfNWmTpWkY8f0ww8KAt5piTQi+Cok1+3TpikIdPx45Z2WBI8UIviqjRihsWPV21sJHkghgq9aQ4PuuUdBoIMHdf68CgUu45E6BF+1MNS0aYpjff+9fvtN4owt0ofgq5O0PWmS8nkdOqSjRy9+CKQHwVcnaXv4cA0apO5u/fmnxCEcpA8Hb2pRLGrXLkWRJk/mUD3SiOCvFofqkUIs6Wt04fY7tSOFCL5GUaRfftH27ersrPdQgJoRfNWSa59iUc8+qwce0OrV9R4QUDOCr1pyfn7gQA0ZooYGHTjAbTmkDsHXolxWGOqOO9TTo927df58vQcE1Ibga5Fs1I0bp8GD1dWlb76ROH6DNCH4WiQvvZgwQbfeKkm7d0sEjzQh+FoEgcpl3XJLJfhduySCR5oQfC2S4ONY48crCPTtt5WreiAl+LLWKJdTEGjKFMWxOjv188+8/QYpwtHaGiUnao8f11dfqbVVLS0aMKDeYwKqRfCAEZb014DflUgbgr8GPD+DtCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkvZacMVHoU/IAAAAAASUVORK5CYII=", "image_next": "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", "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', [-170.13649313151316, -126.34057393061418, 17.71614980698776])", "action": "('move', [-170.13649313151316, -126.34057393061418, 17.71614980698776])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALMUlEQVR4nO3dTWwU9R/H8c9vuuUhtvwVSRCFSFKqAXloEIQYOZhIIlZskARNvOiRA+hJE+NdTxoS5WBMPJF4MCISYo1Eggo0GhREFIGK0fCkUuWh1Jbdmf9hJn/+B4q7dLuzw+f9OjV7+mV33/3NzH53NiRJIgAeorwXAKBxCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB75SBIlSd6L8EPwyEcICkGS4jjvpTgheOSgXNbhwzp6VJIi3oMNxJONhkoP4y9eVE+PFi/Wyy/rwIGcl2SllPcCYCdJ9OWX6u9Xa6tefVVtberqyntNNtjh0VDpqfumTQpBcazp0/XUU5K4gNcg7PBonLTqAwe0e7eiSJWK1qzR7Nk5r8oKOzwaJ0kUgjZvVrmsJFGppLVr1dKicjm7Yo/xRvBokLT2s2f10UfZ8fzKlXrgAcWxWlryXpwNgkeDpNv422/r3DlJam3V449ryhRVKmzvjcM5PBohSdTSor//1o4dqlQkac4crVuXPY6GYYdHI5TLiiL19urAgWw/X7VK06apUmHwpqHY4THu0utzcawPP9TwsCRNnarnnlMcU3uj8Xxj3MWxQlBfnz79VFGkEPTQQ5o/X0lC8I3G841xF4LKZfX2amBAUaQk0QsvSEzR5yEkjDhhPKXH7adOaelSnTmjOFZXl/bvp/Z88KxjfKWX6Hp7depUdkF+48Zsn0fjETzGVwgaGdHmzdks7cyZevTRvNdkjOAxjpJEcaw9e7Jj+DjWs89qxoxs6g6NR/AYX1GkTZskKY71n/+opyf7G7kgeIyXdBs/dky7dmXD893duu8+Pn7PE088xku5LEmbN+vSJUmaNEmrV2vyZIbn88SkHcZFHKtU0unT+uST7AC+q0vd3dnUHfLCDo9xkW7jW7fqyBGFoCjS6tVqb+er7zkjeNRf+h24wUFt25bdf/6uu/TMM2zv+SN41F/6HbjPP9eePdn1uUce0d13Z0P1yBHBo87S7X1kRNu3a3BQkqJIzz/PV2WaAq8A6iz9NO6XX7RlSzZs8/DDWrTo6k/NIEcEjzpL5+S3bdOFC9mWvnGjxI2omwPflkP9nT+vJUvU3y9J996rr75SezvjtE2BHR71lF6T37lTx4+rVFKSaP16am8iBI96Sk/U33hDIahS0Z13auVKieP5pkHwqJt0oq6vT/v3Z8Pza9aos5Ph+SbC64C6SYN/6y0NDytJ1Namnp7s9pVoEsw9oT7SH5Dp79euXdkB/IoVWrGC7b258FKgPtIpui1bdPKkQtDEiXriCU2alN2RHk2ClwJ1kG7vf/yhjz+WpCTR7Nlat05xrNbWvBeH/0PwqIN0e9+5U998k+3nPT2aOpVP45oOwWOs0uH5oSFt3aqRkexy3fr1DM83I14QjFW6jR86pO3bs8K7uzV7tiS296ZD8BirdMbmgw/0zz/ZIP2GDXmvCaNglh5jkm7vZ85o0SL9+afiWMuXa/duTZiQ98pwLezwGJP0oH3bNv3+e/bDMhs2qLWVWdomRfCogzffVBSpXNY992jFCoVA8E2K4HHj0qrfe0/ff5/t6k8/rVmzuJVV8yJ43Lg0+LNn1dGh4eHszvMSwTcvLtqhDo4c0bvvasoUvfRSdiZP8M2J4DFWlUoWOd+TaX4EjzqoVLjnfDEQPOqGyfnmxxEY6obamx/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8P+G397DTYTf+xxdmjo/mIabCDv86EJQCBoaYpPHTYPgryUtfMcOzZmjJ5/UwIAkxXG+iwLGjuCvq79fX3+to0clTuZxMyD40S1ZosmTde6c+vsldnjcDAj+WtILde3t6upSCPrpJ0lqaWGTR9ER/OgmTdLSpUoSHTyoixcV8Vyh8HgTjyJJFEVatkxRpHPndOFC9iBQZCHhTXxNSaIQNDCgEye0cKFKJT6Qx02A4KsQx4pjlRhSQuERPGCEc/jRpf8KBwb0/vt6/XUNDl59ECgmdvjRlcsqldTbq7Vrdfmyjh3TnDnZuT1QTOzwo0vDnj5d06ZJ0rff5rscYOwIfnRp8J2dmjtXIaivj+0dRUfwo4siXbmitjZ1dChJtGcPtaPoCP660gsc8+ZJ0uHD+uuvqw8CBUTw19XSIkkLF+r223X5svbvlwgeBUbw15Uewy9YoBkzFMf67DOJ4FFgBH9d6Wn8rbeqo0O33ZYd0gOFxefw/yaOFUXq69OlS1q8WFOn5r0g4MYRfI34ZA5FxiF9dSqV7A9qR5Gxw1dtcFC7d0vSY49lx/lA0fCurUL6P/GVV9Tdrdde08iIQuBaPYqI4Ku2bJkk/fabfvxRIXBPSxQRwVchPW9fvlwh6OTJ7J6WBI8CIviq3XGHOjt15UoWPFBABF+1CRP04IMKQUeOaHhYra2cxqNwCL5qUaTly5Uk+uEHnT4tMWOL4iH46qRtL16sUklHj+rXX68+CBQHwVcnbXv6dLW16fJlnT8vMYSD4mHwphZDQ9q7V3Gs++9nqB5FRPA3iqF6FBCH9DX638fv1I4CIvgaxbF+/lm9vTpxIu+lADUj+Kql5z5DQ3rxRa1apXfeyXtBQM0Ivmrp/Pwtt2jKFE2YoIMH+VgOhUPwtahUFEWaP18jI9q3T8PDeS8IqA3B1yK9UDd3rtrbNTCg776TGL9BkRB8LdKbXixYoFmzJGnfPongUSQEX4sQVKlo5sws+L17JYJHkRB8LdLgk0Tz5ikEHTqUndUDBcGbtUYtLQpBS5cqSXTihI4f5+43KBBGa2uUTtSePKkvvtDChero0MSJea8JqBbBA0Y4pB8D/leiaAh+DPj+DIqG4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkv143y6OoPmbCAAAAAElFTkSuQmCC", "image_next": "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", "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', [-170.13649313151316, -126.34057393061418, 17.71614980698776])", "action": "('move', [-170.13649313151316, -126.34057393061418, 17.71614980698776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "f0dcdad528c633d6db692c1ae5dee43acacfaae1d4ebc66bc6c297af9003d3c9"} +{"episode": 8217, "episode_seed": 427868150, "split": "train", "timestamp": "2025-09-15T22:48:10.432549", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 427868150, "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', [-3.276189846026504, -2.549326452875723, 24.904526206740456])", "action": "('move', [-3.276189846026504, -2.549326452875723, 24.904526206740456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.276189846026504, -2.549326452875723, 24.904526206740456])", "action": "('move', [-3.276189846026504, -2.549326452875723, 24.904526206740456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.276189846026504, -2.549326452875723, 24.904526206740456])", "action": "('move', [-3.276189846026504, -2.549326452875723, 24.904526206740456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "0a88fe6a35ca21a46bb6aa42689091b7e91a27a6ce110d947330da34066fb5f1"} +{"episode": 8218, "episode_seed": 3349729630, "split": "train", "timestamp": "2025-09-15T22:48:11.374336", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3349729630, "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', [0.14413087153004703, -1.2469370434464544, 39.825204224377444])", "action": "('move', [0.14413087153004703, -1.2469370434464544, 39.825204224377444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.14413087153004703, -1.2469370434464544, 39.825204224377444])", "action": "('move', [0.14413087153004703, -1.2469370434464544, 39.825204224377444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.14413087153004703, -1.2469370434464544, 39.825204224377444])", "action": "('move', [0.14413087153004703, -1.2469370434464544, 39.825204224377444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "b190c6f5986fe775db743f4244c1a90d039a6b634c2a23f3e33f603d20dc4387"} +{"episode": 8219, "episode_seed": 3756299566, "split": "train", "timestamp": "2025-09-15T22:48:11.985532", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3756299566, "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', [162.26940173970164, 160.9123377410818, 35.20191200644234])", "action": "('move', [162.26940173970164, 160.9123377410818, 35.20191200644234])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [162.26940173970164, 160.9123377410818, 35.20191200644234])", "action": "('move', [162.26940173970164, 160.9123377410818, 35.20191200644234])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [162.26940173970164, 160.9123377410818, 35.20191200644234])", "action": "('move', [162.26940173970164, 160.9123377410818, 35.20191200644234])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHFklEQVR4nO3b605b2R3G4f+2wUhVATXikJQ4w2Em/Vj1Y+Ym5jLmwuYO5mqmUjhlAiSRQmBU6BDsvfvBKeGkpuoBRrzPoy1kbcmsbYmf19rLpum6roAMvfu+AODuCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB7uWtfd29BT9zYyPHSTsC//bJrq9app7u2SBA//G1135aiqfv/2vD9+rH6/+v27v0bBw3+k66ptP+fdNDU1Vb0bt8inp3V0VB8+1NFhe3jU7O01W1v17l19/329eFHj8V1nL3j4sotJ+yLvm1N029bBQR0c1Ju3dbDfvX1bb940e3u1v1/7+93B63bU9ao+TfffflsvXlTbCh7uw7WNtGvr8Ka5fubdu3r1qnZ36+fdbmd7vP+mf/ihef++Dg/r/WGd/K2p6q78gmZqerqqqters7N6/fqWQe+A4MnSddVVVXdlF61uFH7Z0VFtbX0+Nl+2B2+ak5Pm9LROTur0tLpLU/clV850XZ2fV1UtPRovfdMfDqvqlluA/7emu8ePCOAOTVbjtzY2GtXZWf36a52d1cFBbW7W5mZtbdfmX8cvX3aHx1OjUY3HNRp9eZCqZjComZkaDGpmpltZGm08721809/YqI2NWl+vR3+o/lRNT99D7SV40pyf1/FxHR/XL0ft0S/N3l6zvV3b27WzUzs7tb3d3vxyymSnfTy+drqr6mZmmvn5Zm6u5udrfq59ulLrX/dWV2t1tdbW6tmzu3pV/zZLeh6+tq1er376qX74oXZ3a2+/9n6u16+6v3+sawvvqeler/m8/L54elVbVUtLvaWlWl6u5eVaWqgnj9vhV/2Vp7WyUsNhDQbX3ym6SzcOE/f4CfynCzDD8+CNRjU1VT/+WN99d+lsU9PT1VSNxzdn7/Gj+Xr6VX84rOGwnj2rJ8vdwmItLjULC7W4WHNzt4wyeY+YbO9dHL81Zngevkl4z5/XxkZtbv7zbFfnH6uqfjczWv9Tf22jWVurtbVaX68/PunNzna/n63Z2ZqdnTz9Srtt++l+frLanxyTTfjfOMHz8E2Cf/y4hsMaj7q//Lld3eivr9dkI21xoT89aAaDmp6+mJOby4WPx9W2VybtpqnB4B5eyH/Pkp4Uky/MfFHbfn58kfeDIXiy3Pr3/pCS/tcs6cmS0/at/D88BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkHTvQ1k0AFXa0AAAAASUVORK5CYII=", "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": "7d8ecf61311066872763818c9e2138c1615d2cb3c6aa28b84e3ce2d0c5df88c5"} +{"episode": 8220, "episode_seed": 2573089840, "split": "train", "timestamp": "2025-09-15T22:48:12.598212", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2573089840, "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', [63.221236717684995, 29.06421844450207, -7.583216855633377])", "action": "('move', [63.221236717684995, 29.06421844450207, -7.583216855633377])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [63.221236717684995, 29.06421844450207, -7.583216855633377])", "action": "('move', [63.221236717684995, 29.06421844450207, -7.583216855633377])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [63.221236717684995, 29.06421844450207, -7.583216855633377])", "action": "('move', [63.221236717684995, 29.06421844450207, -7.583216855633377])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHkklEQVR4nO3dTahcdx3H4d85M/eFol2UUgxoQaQLKyjajXeXZbtpuNZEmkZslaRgMS0FDZRuulFQMWqMjVIwxFh6E7ShdBMoWXUjdtd2EaFaqC5KVw0J3Jl75xwXE6Og3aR35k74Ps9yZvE/m8/8X+bMmabv+wIytLt9AcD8CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB52X99X389joOE8BgE+Wt9X08xpLDM87Kbp3D4e15Ur8xhO8LBr+r4mk2rbevLJunChqmp7e7YjCh52x3RuHw7rRz/sT52qzc3rL86UPTzsgum+vWnq2Pe7n/6sGQ5reXke4woe5q3rqm2r+jr6ve7EyWZlpRmNajSax9CW9DBX09o3N+vI4cmJk007aLqulobdnk/1VTM/rjfDw/x0XTVNXbtW3318cuYP7WDQVFNN3x0/Xg/ua6pqOOMiBQ9z0vfVtnXtav/Yo5Pzf2yHw6bralCTXz/ffOdwO/0smPUM3/TzucEHsk1X8lev1iOP9K+8UktLzdZWDdvJ7063h77ZbG/XYDCP22/M8DBzk0kNBnXlSh04UBcvNssrNR7VytLk92eb/QeayWTmK/kbHNrBbE1r/+CDWl+vixdrebnGo/rkJ7qNjWb/gXb67twIHmZo2vM//9E/9LXu0qV+ebnG47rzzto41+5bn3ftZQ8PszO9u+Zvf6+D3+j+/Jdmum/fs6defLH27q3511728DAj09ovX66vP9S99fb12j/z6X7jXLO2tju1lyU9zMJkUk1Tb75Z+x7s3nq7XVlptrbqc5/tXr5Qa2s1PZPfFYKHHTbt+Y03an29u/zXdnW1RqO69/P9n15u7ruv2d6e35n8/xI87KStrRoO6/XXa//+eueddnW1NjfrK1/uz5+vL35prt/A/V+Chx0zmdTSUr32Wh08WO++W0tLtblZa1/tX9qoe7/Q7Na+/b8JHnZG39dgUK++WocO1Xvv1XBYW1u1d2+9tNHcc89C1F6Chx0xvRP+/Ln+0KF6//1aXq7t7XrggdrYqLvvrq5biNpL8PAx9X1tb1fb1pkz/WPfrg8/rJWVGo9rfb3Onq277rr+EKsFsTAXAregae3DYf32N/2Rw3XtWrO6WqNR//DD/enTdccdu/Z9+0cRPNy86SndL3/RPfFEjcbN8kptbvaPfqteeKG5/fYFWsnfIHi4SdNHUP7kx5Onn24mXTMY1HjUP36kf/5Uc9tt/36O1YJZvCuCW8H0lO7ZZ+vYsbavpmlrMumOHq0Tv2pXV68/62IBLeRFwS1iMKi+mq6rbtId+0Ed/3mztHT9s2Ax+bUcfCzPPFMnT9ZTT9Vzz1XVgq7kbxA83KTp7+HG47p0qe6//z+vLDLBww5Y/NSnFnjxAbeC6f/D3RK1lxkeopjhIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIci/ANSfdNJwsEn9AAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHkklEQVR4nO3dTahcdx3H4d85M/eFol2UUgxoQaQLKyjajXeXZbtpuNZEmkZslaRgMS0FDZRuulFQMWqMjVIwxFh6E7ShdBMoWXUjdtd2EaFaqC5KVw0J3Jl75xwXE6Og3aR35k74Ps9yZvE/m8/8X+bMmabv+wIytLt9AcD8CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB52X99X389joOE8BgE+Wt9X08xpLDM87Kbp3D4e15Ur8xhO8LBr+r4mk2rbevLJunChqmp7e7YjCh52x3RuHw7rRz/sT52qzc3rL86UPTzsgum+vWnq2Pe7n/6sGQ5reXke4woe5q3rqm2r+jr6ve7EyWZlpRmNajSax9CW9DBX09o3N+vI4cmJk007aLqulobdnk/1VTM/rjfDw/x0XTVNXbtW3318cuYP7WDQVFNN3x0/Xg/ua6pqOOMiBQ9z0vfVtnXtav/Yo5Pzf2yHw6bralCTXz/ffOdwO/0smPUM3/TzucEHsk1X8lev1iOP9K+8UktLzdZWDdvJ7063h77ZbG/XYDCP22/M8DBzk0kNBnXlSh04UBcvNssrNR7VytLk92eb/QeayWTmK/kbHNrBbE1r/+CDWl+vixdrebnGo/rkJ7qNjWb/gXb67twIHmZo2vM//9E/9LXu0qV+ebnG47rzzto41+5bn3ftZQ8PszO9u+Zvf6+D3+j+/Jdmum/fs6defLH27q3511728DAj09ovX66vP9S99fb12j/z6X7jXLO2tju1lyU9zMJkUk1Tb75Z+x7s3nq7XVlptrbqc5/tXr5Qa2s1PZPfFYKHHTbt+Y03an29u/zXdnW1RqO69/P9n15u7ruv2d6e35n8/xI87KStrRoO6/XXa//+eueddnW1NjfrK1/uz5+vL35prt/A/V+Chx0zmdTSUr32Wh08WO++W0tLtblZa1/tX9qoe7/Q7Na+/b8JHnZG39dgUK++WocO1Xvv1XBYW1u1d2+9tNHcc89C1F6Chx0xvRP+/Ln+0KF6//1aXq7t7XrggdrYqLvvrq5biNpL8PAx9X1tb1fb1pkz/WPfrg8/rJWVGo9rfb3Onq277rr+EKsFsTAXAregae3DYf32N/2Rw3XtWrO6WqNR//DD/enTdccdu/Z9+0cRPNy86SndL3/RPfFEjcbN8kptbvaPfqteeKG5/fYFWsnfIHi4SdNHUP7kx5Onn24mXTMY1HjUP36kf/5Uc9tt/36O1YJZvCuCW8H0lO7ZZ+vYsbavpmlrMumOHq0Tv2pXV68/62IBLeRFwS1iMKi+mq6rbtId+0Ed/3mztHT9s2Ax+bUcfCzPPFMnT9ZTT9Vzz1XVgq7kbxA83KTp7+HG47p0qe6//z+vLDLBww5Y/NSnFnjxAbeC6f/D3RK1lxkeopjhIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIci/ANSfdNJwsEn9AAAAAElFTkSuQmCC", "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": "69c4f78850626c4305bd3243dc6613114510d52d40fe2d1a9779ec28620a30c6"} +{"episode": 8221, "episode_seed": 2253292264, "split": "train", "timestamp": "2025-09-15T22:48:13.527393", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2253292264, "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', [-1.5670858202942792, -2.3658850391812654, -44.84260235679094])", "action": "('move', [-1.5670858202942792, -2.3658850391812654, -44.84260235679094])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.5670858202942792, -2.3658850391812654, -44.84260235679094])", "action": "('move', [-1.5670858202942792, -2.3658850391812654, -44.84260235679094])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALfUlEQVR4nO3df2hV9R/H8dc59y6nUysiW2FFhiWGEpjGqhk2RxYrTIKKpATFpfWXFWGBiZCSoEmGsr9KIZAiCMk/spJIUVFT1yYiCkpiKUmWpDN3zznfP85piy/fH83d3XPn6/n4Q6a7fxzmnnuf8zmfexYkSSIAHsK8DwBA5RA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEj35JkryPAH1B8LhypZLiOO+DQF8ECT+i0Xfpd00QZB+nH6D6MeHRZ2nhQaAVK9TaqgsXsn9E9SvmfQAYZNLad+7UggXq6FCS6NFHNWtW3oeFf4YJjytRV6cfflAYKgi0ZIkuXmTCDw4Ejz5LEk2YoDfeUBSpUNChQ2prUxjS/CDAoh36LI4Vhjp2TE1NOnVKcaxbbtG+fRo1Kru2R9ViwqPPwlClku68Uy+9pChSGOqnn7RypcJQUZT3weF/InhciTCUpLlzNXFidit+0yYdOKBikearGsHjSqRDftQovfyykkRhqJ9/1tq1iiIlCRfz1YtreFyhNOwk0YMPas8eBYFGjNBnn6mpKVvMQxViwuMKpYtzhYKWLs2G/O+/6/33dfEiK/bVi+Bx5dIr+Rkz1NKiUknForZs0TffsFBfvTilR7+k3z7t7brvPiWJ4liTJmnHDg0ZIonyqw4THv2SJn3vvVq4UHGsYlHff68NG0i9SjHh0V/pPpyjR/XQQzp7Vkmi0aPV0aERI9iHU3WY8OivIFAca+xYvfJKFv/Jk1qxQmHIu+WrDhMeZZDutzt9Wk1NOnxYQaCbbtK33+quuxTH3KKrIkx4lEGhoCjSzTertTV7C92ZM1q1qvcJGagSTHiUR5IoihTHamjQgQOSdO212rxZjY3ZHTtUAyY8yiNdn7vmGr31loJAYajfftPateruVqHAkK8WTHiUU/o8nOZmff11tt9uyxY99hjPvasWBI9ySr+b9u1TQ4MkRZEaGrRtm2prab4qcEqPckpP7CdP1osvKopULGrXLn36afYp5I4JjzKLYwWBDh9WY6POnVMQ6Pbb1dGhYcNoPn9MeJRZEChJNH68Fi7M3kV3/Hh2i459OLljwqP80n04x4/r8cd15IjCUDfeqD17dOut2Y8A5IWvPcov3YczZozmzcvuwJ85o3ffzYY/csSEx4BI3yp7/rweeUQHDyoMNXKkvvxSU6bwPJw8MeExINL1ueuv16JF2ZDv2YfD83ByxITHAErfPDd1qrZvV6GgONbWrZo+nSGfGyY8BlA65995J8s7SbRihbq6GPK5IXgMoDT4xkY9+2y2D2fbNm3Zwg353HBKj4GVfn91dmrqVJ0/L0ljx+rAAQ0dymbbHDDhMbB69uHMn59d0h85onXrJN4nnwcmPAZcukR35IhaWnTsmMJQ9fXat0/19ezDqTS+2BhwhYJKJd19t+bOVaGQ/fLJdB8Ov4iuwggelZA+0HLOHE2YoFJJYZj98smaGpVKeR+cE4JHJaT34errtWCBamok6cwZrV2ry5fZb1tRXMOjcqJI3d2aNk27d6tYVG2tNm/WtGnsw6kcJjwqJwxVW6tlyyQpSfTHH1qzRl1dPPSucggelZOevTc3a9YsRZFqavTFF9q6Ne/DcsIpPSoq3WzT3q7GRnV369IlNTTou+94jnWFMOFRUemQv+cezZmjS5f05JN67TVuxVcOEx6Vlu63O3FCO3boqadUV5f3ATkheOSM30tTSQSPfCRJdj3P+2cqieABI6yWAEYIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8Fe7KFIU5X0QqBbFvA8AAyaOFUWqqZGkJFEQ5H1AyB8T/ipVKikMVVOj9natWqXLl/M+IFQFJvxVqljUL7/ogw+0caNOnNDw4WptZc6D4K8Waczpn93damtTW5s6OyXpuuuy11C7vSBJkryPAf0WRSoUJKlUUrGoV1/V6tWSNHSonntOixdrzBgFAcGD4Ae5OFYcq1js/WsYav9+tbRo/HgtX64pU3I9PlQXgh/MuruzRfj9+7Vpk2bO1AMPZNN+715Nnpy9jEt3/IXgB6f0fy0IdPKk1q/Xxo06dUoNDfrqKw0dKklhqDjmNB7/hkW7wSkIVCrpvfe0YYMOHZKkUaP0zDMqFrPCe67qgb9hwg8ePevwpZI+/1zLl+vgQUmqrdW8eVq0SHfc0fsy4D9hwg8G6d7YQiFbhP/wQ7W2StKwYWpu1rJlmjix98XUjv+OCV/d0nnesz02SRSGOntW06errk6LF6ulpfeVpI7/h+CrWHqPTdLRo1q/XpMm6fnns4vz9naNG6chQxRFCkNSxz9E8FWpZxH+wgWtWaOPP9bhwxo9Wjt3avTobM6LlTn0GdfwVSmd2B99pNWr1dEhScOG6YUXdMMN2WfTwU7t6CMmfNXoWYS/eFF792rJEm3fLkl1dWpp0dKlGjcu70PEoMeErwLpylyxmJ2i79+vGTP0558KQzU16fXX1dyc9yHiKsGEz9vfr8PTvXFRpJkz9euvmj9fc+Zkr2FlDuVA8PnpWZk7d04rV6q2Vm+/na3MHzum4cNVX684lpQt0QH9RvB56LnfFsdqa9O6dersVE2Ndu3SpEm9n+3u7t0qC5QD1/B5CEN1d2vbNi1dqt27JamuTk8/rfp6SQqCbLCn+22A8mHCV1D6pe7qUmenVq3SJ59IUk2Nmpr05ptqbMz36OCA4CsoPVc/fVr3368ff5Skhx/WvHmaPVtibywqgVP6CgpDRZHq6/XEE9qxQ/Pna/ZsjRypKFIQsDKHCmDCV1b61T57Vl1duu026a+n0AEVQfD5SR8dz2BHBRF8Hnre6ApUFsEDRhgygBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wInwh+QimwcEgAAAABJRU5ErkJggg==", "image_next": "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", "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', [-1.5670858202942792, -2.3658850391812654, -44.84260235679094])", "action": "('move', [-1.5670858202942792, -2.3658850391812654, -44.84260235679094])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK8klEQVR4nO3dX2iV9QPH8c/z7Oz/WFYgC0000JZFwWQ5hTFhG/3ZDC+KiCS6EL0vurCLkggvAi0okl1VQhBdBf3PWLD8k22NiZstlBLFHDUylznmzjlPF8/XzeL34/cL9Jzt+bxfFyLHXXzx8N73+3zP83xPlCSJAHiIyz0AAKVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4/FOxqGKx3IPAjRElSVLuMWAhKhQURYqZEbIlV+4BYAFJEkWRxscVx1qzptyjwQ3AL3DMKxQk6eWX1d6u1la9/rpmZiSJVWBmEDyCJFEup6kpDQ3pl180NKQvv1RVVfgtgGwgeARp2AMDOn9eUaSKCrW1KYrCxTyygWt4BOnO/MCApqYk6ZZbtGmTJFVUlHFQuM6Y4SFdXc9fvqyRkTCfL1umlhYVCmzUZwpvJiSpWFQca2xMY2Nhi66tTdXVYd8emUHwkK6u54eH9fPPimNVVamnRxLTe9bwfiKs5/N5DQ5KUrGoJUvCBTzTe8YQPMK6/exZDQyEV9ra1NDAej6DCB7Bjz/q1CnlcpK0eXO5R4Mbg+ARLtQPHpy/o66zs4zDwQ1E8O7SyC9d0qefSlI+r7Y23XabxAV8FhE8JOn8eR09qspKSerpUU1NuQeEG4PgoSRRf3/4i6SODkk8Ep9N3FrrLl23f/SRJOXzWr1aq1bNv46MYYa3lk7pU1M6dCgU3tmppiaeh80sgreWJEoSffWVLl4Me/Xr1yuX4wm5zGJJby1JFMf68MNwxb5sme69V2I9n13M8L7SG+lmZnTkiCRFke67T83N4bcAMok31lf6hNzQkCYmJClJ1NKiujrl88zwmUXwvtIjbvr79fvvktTYqI0bJdbzmUbwppIkHGXz7bfhAn7lyhA8R9xkGMGbKhZVUaETJ3TiRHjlnnt0002anWWGzzKCN5XO6oODOn1akqqq1NUlsZ7POoI3FcdKEg0NqVhUFKmhQQ89JLGezzqCd5Su5ycmwhE3SaK1a9XUFOJHhhG8o/TO2ZMnNTwcpvSeHs63sUDwjtL7ar77bn6LrqeH2i0QvJ10Jr90SV98IUn5vNas0Z13SuzYGSB4U5OTOnRIcawo0sMPh6MvkHkEbyedxgcH9ccfqqxUkuiBBxRFPBJrgeBNffyxokhXrqipSXfdVe7RoFR4PNbRzIw+/zxM6Zs2aenScg8IpcIM7yWN/OhRTUyEI+g7OlRby4kXLgjeS7GoJNEnn0hSPq+GhnDiBUwQvJcoUhSFD+QktbaGC3hOvDDB+2wkPfFifFxnzoRXWlp0882ceGGE4I2kT8h99pkuXpSkmhrdf395R4RSI3g7AwPK5yVp5Upt2CCxnnfCW+2iWFQup3Pn9MMP4ZXmZt1+O+t5LwTvIl3PHz6sn36SpFxO7e3hUzqC90HwFuZumx0c1PS0JDU2qrtbUcSJF14I3kKSKJfThQsaGVFFhaJIK1bo7ru538YOt9ZaSGf448d14EB4patLccxXxNphhjdSW6vOTq1erYoKPfKIxNW7nyjhqUgPcydYjY9raEiPPabq6nKPCSVH8EaKxfDhHGwRvJckmc+e9bwhggeMsGkHGCF4wAjBA0YIHjBC8FlXKKhQKPcgsFDwmWx2FYsqFMJXTPDFcZDEDJ9Z+bziWJWVOnZMe/boypVyDwgLAjN8RuVy+vVXvfGG9u/X6dNqaNCOHczzIPisSGNO/5ydVV+f+vo0OipJS5aEn6F2e9xplwmFQjjIIp9XLqdnn9XevZJUW6snntDOnbrjjnBCNbwR/CL3jwdi0pOoh4fV26u1a7V7NwfT4loEv5jNzoZN+OFhvfeetmzRxo1hth8cVGtr+DEu3XEVwS9Oc6dPnj2rffu0f7/OndOGDTpwQLW1ksJxNizj8Xds2i1OUaR8Xq++qnfe0diYJC1dqscfn3/qde6qHrgGM/ziMbcPn8/rgw+0e7dGRiSppkbbtumZZ7Rq1fyPAf8JM/xikN4bW1ERNuHfeks7dkhSXZ26u/XSS3/7Clhqx3/HDL+wpfP53O2xSaI41uSkurpUX6+dO9XbO/+TpI7/heAXsPQzNkknT2rfPq1bpyefDBfnx46puVnV1SoUFMekjv8TwS9Ic5vwf/6p117Tu+/q+++1fLkOH9by5WGeFztz+Ne4hl+Q0hn77be1d6+OH5ekujo99ZRuvTX8azqxUzv+JWb4BWNuE/7yZQ0O6oUX9PXXklRfr95e7dql5uZyDxGLHjP8ApDuzOVyYYk+PKwHH9TMjOJYnZ167jl1d5d7iMgIZvhyu/Y6PL03rlDQli367Tdt366nnw4/w84crgeCL5+5nbkLF/TKK6qp0Ysvhp35U6fU0KCmpvBtjzHnlOD6IPhymPu8rVhUX5/efFOjo6qs1JEjWrdu/l9nZ/mCGFxfXMOXQxxrdlb9/dq1S998I0n19Xr0UTU1SVIUhYk9vd8GuH6Y4Uso/a+entboqPbs0fvvS1JlpTo79fzzam8v7+jggOBLKF2rT0xo/XqdOSNJHR3atk1bt0rcG4tSYElfQnGsQkFNTdq8WQcPavt2bd2qxkYVCooiduZQAszwpZX+b09OanpaK1ZIV0+hA0qC4MsnPTqeiR0lRPDlMPegK1BaBA8YYZIBjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5C1lCpcfGfIb7AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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": "0083c46751b6bfd16c81fd32ccc2e5ee8e3860d0dae19a082e3ef2a3c8e91ba0"} +{"episode": 8222, "episode_seed": 528050569, "split": "train", "timestamp": "2025-09-15T22:48:14.134515", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 528050569, "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', [6.3832824098562995, -2.1291327280697425, -25.553330673964812])", "action": "('move', [6.3832824098562995, -2.1291327280697425, -25.553330673964812])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALkklEQVR4nO3db2hVZQDH8d85926KWhpFKGhgmhYppIVZDkRLc4kFYf4JF1aGZlm5xDArMJMCA6kXYfRGJS0j0MI/ZH/IxpZmRORCkTCoyKm46Zq52r339OLcaWVmpfPunN/380q3N+fFvvd5znOe+5wgiiIB8BCW+gIAXDgEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YCSpwUeRCgVFUamvA0iURAafzysIFIYKglJfCpAoyQs+ipTJqKVFq1eruVn5fKkvCEiORAZfU6Pp0zVzppYsUSajQqHU1wQkRBAl5z64UFAYqqVFkybpk09UXq4w1ObNGjtW+bwymVJfH9DpJWmED0Pl8+raVVOnqrxcuZxaW/XUU2pqUhgyzgNnl6TgJYWhwlBz5ujOO1UoqLxcO3fqpZckKZ9n0R44iyRN6WPxxP7bbzVmjH76SZIuvlgbN2r06OKvAJxJ8voIQ0WRBg7Uc88VCz96VIsWqaVFQcAgD/yT5AUvFcO+7z7ddZdyOWWz+uwzrVjBY3ngLJI3pY/FV71/vyoq1NCgbFZlZaqp0fXXK4ooH/h7iRzh1T7IDxigZcuKu+5OnNDcuSzdAf8kqcHHCgVNn67Jk/Xbb8pk9PnnWrpUYahcrtRXBnRKSZ3Sx+L9NvX1GjdOBw8qDNWrl7Zs0YgRbMUB/kayR/hMRvm8hgzR4sXFvI8c0aJFamxUELAVB/irZAcvKQzV1qZZs4obbMvKtH27Vq0qfpcuydMX4PxL9pQ+Fi/L79unESPU3CxJ3bvr0081bBhbcYA/SUMN8Ug+aJCWLVMUKZtVS4sWLtSvvzLCA3+ShuBjUaQHH9SECWprUzarDz/Uq68qk6F54JQ0TOlj8cT+669VWalDh1QoqEcP1dXp2muZ2ANF6ekgCJTLacgQVVcrl1MQqLlZ8+cXz8NKy8cacE7SE7xUXJmfN0/jxhVX7D/4QC+/XPwsAJCeKX0s3m+zY4cmTVJjo6JIfftq40YNH85WHCBdI7ykTEa5nEaOVHW1CgWVlemHH7RkiVpb2YoDpG6Ej0WRcjmNGaPa2uJuvJUrNXs2X6SDu9QGHwT66iuNGlUc2y+9VHV1GjCA5mEtbVP6WDx7v+46Pfts8ZncoUN67LFSXxZQaukMXu3Nz56tsWOLW3E2b9bKlQoC3l0BX+mc0sfi06/q6lRZqePHFUW6/HLV1GjgQFbsYSq1I7ykbFaFgm6+WdXViiKFoRoatHChfvlFUcRWHDhKc/CxXE7z5umGG5TLqaxMW7fqrbeKnwWAmzRP6WPxol1trcaPV2urCgX17auPPtKgQUzsYSf9I3z8FqpRo/T448WtOD/+qOefL+63T/vHHfAn6R/hTzpxQhUV+vJLZbPK5bR2re65h8fy8OISfBx2ba0qK9XaqlxOvXtr1y716cM3Z2HE6I+9UNDIkXrkEbW1KZPRgQN64onii6sAEy4jvNpX75qaVFmpnTtVVqZ8XqtXa8YMtbWprKzU1wd0PKPg1b4VZ8sWTZumlhZJuuoqbd2qK6/kVBxY8Pobz2bV1qbbb9cDDyiKVFamffu0dKna2lQoMLdH+nmN8Gp/C2VTk0aPVn29wlBhqDff1OTJDPJIP7vg1b5iv22bJkwoLtr176/NmzV4ME/pkHKOI1q832b8eM2bp3xehYIaG4tvsADSzXGEV/vE/sgRjRmj/v31yiu64goFAcM7Us40+JOOHFGPHurSpdTXAVwQ7sHHuHWHCcd7+NNRO0wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4JFGnGdyBuylB4wwwiNd4gFszx41NZ36L9oRPFIkn1cQqKZGFRWaNUvNzbxd6C8IHmkRvypw505NmaLGRtXVac8eRRGvDf0jgkcqFArKZLR7t6ZMUUODLrtMb7yhG28s/hztCB7JF8/kd+3SxIn6/nv17Km1a3XLLdR+OoJHwsW36EGgiy5St26StGaNxo9XLsep46fjsRyS7OS7BOJ/7N6tw4c1dmzxfh6nIXgkVhz54cPq1k3du586mZAjCs+MOQ+SKZ9XGOrgQd1xh6qqtH+/1L7BjtrPjOCRQHHthw7p3nu1Y4c2bNA33xQ7p/Z/RPBImngm39ys2bO1bZskvfiiJk5UFLFKd1bZUl8A8F/EVbe26uGHtXGjJD39tJ58ssRXlRws2iFp8nk99JBef12SFizQ8uUSC3X/FlMgJEe8SfbRR4u1z52rF14o/pza/x2m9EiIk7foPXsqCFRVpeXLlcmcehSPf4EpPRLonXd0663q1Yva/yuCRxK0tengQfXtK/1hdx337f8dn47o3OIB6bXXNHSo1q1TPq8oUi5H7f8PwaMTy+UUBFq1SvPn6+hRrVunY8cUhgpDav9/mNKjs4q/ALN+vWbOVGurhg/X+vUaOJAvxpwLgkenFN+ov/eeZszQzz/rmmu0YYMGD6b2c0Tw6Hzi2t9/X9Om6ehRDRigTZt09dXUfu4IHp1MvBpXW6vbbtPx4+rXT+++q2HDqP28YOMNOpP4sKog0CWXqF8/NTXp7bep/TxihEen8Zfja/bs0bFjGjmSJ3DnEcGjc4gj37tXffqoZ0+Or+kgPIdHJxAfaLF3r+6+W1OnqqFBQaB8vjjDx/nDPTxKLb4//+47VVWpvl719dq3T717s7umIzDCo6Tio+MPHFBVlb74Ql27as0aVVRIHFbVIRjhUTrxN14PH9aMGaqtVZcuWrFCVVXFXxF8B2CER4nEp1Y0Nur++/Xxx8pmtWyZ5szh5NkORfAohTjp48c1d642bVIQ6JlnVF196jk8OgbBo0QKBXXpoqFDFQRasECLF0tioa6j8RwepbZ9u266SeXlzOQvAIJH50DtFwRTepTayde/ouMRPEqN1C8gggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/A4YKVsS07qoEQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [6.3832824098562995, -2.1291327280697425, -25.553330673964812])", "action": "('move', [6.3832824098562995, -2.1291327280697425, -25.553330673964812])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.3832824098562995, -2.1291327280697425, -25.553330673964812])", "action": "('move', [6.3832824098562995, -2.1291327280697425, -25.553330673964812])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALLElEQVR4nO3dXYgVdQPH8d+cXc/qLrK+lhURaPQiia2FLyFivgaGkZYWtAZRVAZCIXRRXUUv0EVddBPdhKSQkZrYiy1Euiqa0pvWalrSFqUurW8ZrnvOTBf/UZ90n+cp3fXMnN/3c6XjzXiG7/nP/Oc/c6IkSQTAQ6HSOwDg0iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSP/y+OVSopjiu9H7hoUZIkld4HZFqSKIoqvRPoJbWV3gFkV7msQkGrV6utTePHq6lJQ4cSf74xwuO/KpVUW6tZs9TSoro63X+/Xn9dDQ2KYxW4Fswnjht6FseqrdW+fdq3T8WiurrU2am6OnV3M8jnGMGjZ+WyJLW06KefdOqU+vfXvHmqrZVE8DlG8OhBkqhQULmsTZvSyfnhwzVjhpIkbR45RfDoQRyrpkZ792rbtnTL2LG66irFMcN7vvF1jR6EmdwvvtAPP6Tzc/PmcX+uGhA8zpUkqqlRd7c2bky3NDRo7lxFEcHnHqf0OFcYyX/9VZ98IklxrClTNHRopXcLvYHg0bNdu7R/v4pFSbrvPrFcozoQPM4V5ufXrZOkclkNDZo6VVFE89WA4NGDP/7QmjVp+TNn6rLLKr1D6CUEj78Jw/j27TpwIL3lPneuikWm6KsEwaMHK1cqitTdrSFDdMstkjifrxLclsPfRJFKJX34YVr4lCkaNSrdjirACI+z4lhJopYWHTqUrreZOlUNDSqVCL5KEDzOCitnV61Sd7fiWMOHa8IEieG9ihA8UuGBmePHtXVruqWpSWPH8vR7VeFIIhXeb7Nxo9rb0y0TJ2rAAJXLjPDVg+CRCrN0LS06dkyShg3THXekwz6qBgcTkpQk6tdPR45ox450y8iRmjSJ4KsNBxOSVC4rSfT55/rmm/SpuGnTJOX2AfhwvwHnIXhISiPfulXHj0tSXZ3mz5eU2+G9UMjnF1Wfy+nxRG8K77fp7NRnn6UPyYwcqXHj8nk+Hwb2tjYdPnz2rzgtd8cTvS9EsXevNm5MC7/rrhymLqV3FFpbNXmyHn5Yx47xlN858nhU0csKBSWJNm8+ewcunM/nTLmsmhpt26YFC9TZqS1b1NamJOEnsv4TwbsLj8H9+adWrZKkUkmjR2v06Erv1r8VLkt27tSCBTpwQMOG6e23NWFCuh2nETwkqb1d27aptlZRpPnz1b+/lKMVteHMZPt2zZmj9nY1Nmr5ck2fTu3nI3h3oeqPP06fkEkSzZypKMrPiXC4RI8iDRyo+npJWrZMs2apVMrnPETf4vFYSNLKlZJUKunmm3XddVJehvew0L+mRnGsG27Qu++qo0PTpqlc5hczesSHYi1cwO/bpy+/VKGgONbs2br88pxMbIfaOzpUX6+GBiWJxoyRTr9nGz3hnMdaWJD23nvq6pKkYlG33SYpDw/MhGd9Dh7U3LlqbtaPP0qn/z9Z3/VKInhrYYHdBx9IUhzrppt0661S9hfYhdoPHdKiRdq6VatX69tv086p/X/K+IFFHwpnxHv2aM+edMv48bryyszPdoX9PnZMjz6a/lbGyy9rzpx8Lgy81PiAfIUfhF67Vr//LkkDBmjKFCnjq1FD1V1deuIJrVkjSc8+q6efZvH8P0TwpsKlbhyrtTUt/5prdPvtmZ/wiiKVy1qyRMuXS9LSpXr+eSnj31IZQvCmwi+979ypr79OtzQ1acSIbJ/Ph7UBS5bozTclafFivfRSup3h/Z/J7LFF3wqj+pYtam9XFKlY1J13Slmerjtzid7YqCjSokV65ZX0Dnx2dzpzuA9vqqZGXV3askWSkkSDB2d+2uvMGP7iixo3TjNmqL6e2v8tPixH4a7W/v3asCHdMnmyGhulzN7V6u7WL7+kf45j3XOPBg3K9vdTRvF5+frqK/38s/r1k6SFC7M67RV26403NGaMVqxI38VVKrHA5sIQvJ0wD3/qlNavl6RyWQMHavr0dBFOtoQHet56S08+qSNHtGKFjh5VocBNuAtG8KY6O/XRR+n6+TlzNGhQpXfofOEBmHfe0eOPq1TSuHF67TUNGcJ1+8Xgg7MThsZNm3TwoIpFSbr77vSlNxkSHmVfu1aPPKKTJ3XjjVqxQtdem77WBheK4E0dPaphw3TypAYPTtfPZ0gYw9ev14MP6vhxjRqlVat0/fXUfvGiJFtf7LhETp3SkSNqbVVHhxYtUn19ZmbBwn5s3qzZs3XihK6+Wu+/r6Ymau8VBI8sCc/lFgr67jvNn6/Dh7VmjSZOpPbeQvC+zrwbKivOzMaFP7S16ehRTZyYmXOPakDwyIYQ+e7duuIKNTaejZzaexWTdsiAsPRv927de68WLtSBA+lTcTl4807OsJYelRauz/fvV3Ozdu3Srl36/nuNGMHqmr7ACI+KCvfbf/tNzc3asUP9+2vZMk2eLGVqdqF6MMKjcsLTLx0deuABbd6sujq9+qqam9N/Ivg+wAiPCglvrejs1EMP6dNPVVurF17QY4/x5tk+RfCohJD0iRNavFjr1imK9NxzeuqpdJaO2vsMwaNC4lh1dRozRlGkpUv1zDOSmKjra9yHR6Vt2KBJk1QsciZ/CRA8soHaLwlO6VFpmVviW80IHpVG6pcQwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gIc2LZNvGSjlAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIp0lEQVR4nO3dTawdZR3H8f/MOfc2RBsgRViIJKJEIm8bG1bFDQhBwm0L0QU0xtRWWRBcYJS64W1FddGEAJUWtYQFcFsIipqyAl1hVHChqKQohrewIKZJaXvPOeNiLjVRI0Xannv7+3yWZ/Vkkm+e88w880zTdV0BGdppDwA4cQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQTPyanrpj2CJUnwnIS6rpqmJpNpj2PpETwnm8mkuq7ePVhtq/l/J3hOKl1XbVu/+W1dt7727q22ra7z9/5fms7F4GQxmVTb1h9f6q79Yvfyvvass2r79pqbm/awlhIzPCeJ8bjatl7ZV+vmJi/va045pd56q3bsqIMHq9zDe4/gORmMxzUY1OuvdevXjf/053bFiubdd2v16m7btlqxoiaTapppD3FpEDzL3mRcg0G98Xp33frJC79vZ2aaQ4fqgs9OHt5V5567uKqnZw3P8tY/gXv77bpu/eSXv2qGw2Y0qk9/cvLkU3XBhW0/83OE4FnG+tr376/rr6+9e2tmphYW6hMfHz/9dHvRJY3a/5P/OixXfe2HD9eNN9bevTU7UwsLdeaq8e7dzUWXNKOR2v8LwbMs9ffhDh6sDRsmTz1Vw2EdXqhTT635JwarL23H4xoOpz3EJUnwLD/9XroDB+obX5889lgzGNR4XKefXo8/XmvWlH/y/4PgWWb6nXOTSX3r1u7Hu9rhsOmqPvqRya5ddcUVan8fgmc56W8xDwb13S3dffc3w5kaT2rYjHfsaK65Ru3vz0KHZaO/S1dVd9zefe/7zWBQo4Wqmux4qP3Sl5vRyLr9/ZnhWR6OvAOz9Z7u9jua/pfhsPvB9mbDV5quU/tRcZFYBrqu+hvv995b3/5O07b9X/du6z21aXNjK8nREzxL3ZHaH3qobr21+toXFuruu5tbvrn4fM5W+aNkpx1LWv9Pvm3r0Udr06Y6cKCapkaj2rKl7rprcVVvq/zREzxLWp/0T3/S3XBj7d/f9AdX3XJLbd1ag4G5/QMTPEtX/5jtmWdq7dzkwLttv1V+8+a6//7Fo2zU/kEJniWqf8z23HPd2msn7/xjMDu7uG1+586anV083IYPSvAsRf3c/uvnu7m5yRtvDvq5ff26yQ9/1Kxc2XjF/f8meJacfvZ+4Xfd2rXjv706GAya8biu+sLk4UeaVavU/qEInqVl8SDKP3RXXzX569/b4UwzWqjPrxnP727P+JhX3D8swbOE9D2/sq+7+qrxS38Z9uv2Sz83fvrng1VnWLcfA64fS8XiQZSv17r1zXu1d5dcOJp/olX7seISsiT0tb/2Wq1bVy++WMNhHT5c53+m271ncPbZjdqPFVtrmb7JpAaDevPN7oYb6vnnm+GwRqM677x64sn2U+eZ248lF5Ip63t+551u41e7Z59tZmdrNKpzzqn5+Tr//MXPS3CsuJZMU1/7gQO16Wvdz37R9nfpzjxjMj9fF1/sQItjT/BMTf9E/dCh2ry5272n7dftp66czO9pV69W+3EheKajP4jy4MG6+ebukUeawaBGo1q1ajK/p1mzprpO7ceF4JmC/rPt43Hddls9+GAzM1Nd1512WrdzZ3v55Y2Puh8/gudEO/KW2513Vv+xx/G4Vqxo7ruvmZurhQUvvR5HdtpxovXBP/BA3XRTzc7WwkK1bW3fXhs3Vv+5GLUfP2Z4TrT+EJvLLqvVq+vw4aqqbdtq48bFdbvajyszPFPQP4179dXasKGuvLK2bJn2gGIInunom9+/v1auXDx/2tx+AgieqekX806qOpGs4ZkatZ94gmea1H6CCR6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/BMG6iDJkyuObwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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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": "3f701788eec9c1db36ee324465d3fe177f3bab484219bdbeddd665770684e523"} +{"episode": 8223, "episode_seed": 3551431113, "split": "train", "timestamp": "2025-09-15T22:48:14.742431", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3551431113, "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', [2.7896804444848153, -4.51105268193788, 33.847674054853506])", "action": "('move', [2.7896804444848153, -4.51105268193788, 33.847674054853506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.7896804444848153, -4.51105268193788, 33.847674054853506])", "action": "('move', [2.7896804444848153, -4.51105268193788, 33.847674054853506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.7896804444848153, -4.51105268193788, 33.847674054853506])", "action": "('move', [2.7896804444848153, -4.51105268193788, 33.847674054853506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "2503643cebd57866cb8b42aa8701860f1e7ee380661220afe3b5a07e9c555f44"} +{"episode": 8224, "episode_seed": 1673207743, "split": "train", "timestamp": "2025-09-15T22:48:15.350241", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1673207743, "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', [0.7547936578699769, 2.0044157387030435, 9.237393310951944])", "action": "('move', [0.7547936578699769, 2.0044157387030435, 9.237393310951944])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKWklEQVR4nO3bW4ycZR3H8d/M7HYtdEtAhYK2STlYy6E1cEURTUECcjBBUUy44pJ44R13Xpl4ySWJ3noAokZJIApEDoHQKh4CpgeEuja2VGuJa1PSyuzO68W8mS1LRXug2+n/88lc7D77zuybtN95nvfZdzpN0wSoobvUJwCcPoKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQiaU+ATiDNU2apv0iSa+3tKdz8gQPxzI3lyQTE+l03jM+Pz/W2Xea4VsX1DQYtNP4YJBeb3HMg0EOHMg//pEDB7J/f15/PZOTefDBxe8C40Pw1DOKvNtN973bWE2TTidzc3n66WzZkj178pe/ZPfuzMwsHHPkSKamTvMpnyqW9JyNjp7G3j8bHx357t15443MzOTXv87mzbnvvvYpP/xhfvSj9zxr9epcdlmuuCLz8x/SWZ8GgucsMpq3P2DJ3TT5wQ/y2mvZvj27d2d2NrOzeeedJNm7N1/+cpYvT6+XG27I1q256aZcemmuvDJr12blykxPZ+XKTIxxNZb0jJth1aPHcFm+qPB3383hwzlyJPv3Z/v2bN+ez30uN9/cXquvW5dduxYOXr48K1bkvPNy99351rcyPd0e9u67mZpavOYfc2P8XkVFo9219493OpmdzQsvZNu2vP563ngj27bl4MH2gPvvz803Z24uExO59da88kouuSTr1mXdunz601m/Puefv/BqnU56vSxfvvDiw3lx+LYytjt2ETxjZpji7Gz27Mlbb2XPnvz1r7n//qxenSQzM/nqV9PvLxy/YkXWrMlFF2XDhvbpnU6+851MTy+eugeD9qfH/KXjHPnRBM+YGM3hDz6YnTvzt79l374cOpQkl1+e++5L0+TKK3PLLfnXv3L11Vm7Np/8ZC6+OBdfnFWr2gl8ePl93nlpmvT7bcnDx9m1dP9vBM+Y6HQyGGT58jzySNt5kpUrs359zjmn/XZqKt/7XiYm8tGPLt5aG75fjL5OMjl5ek78jGLTjvExGKTbzbe/nSNH8pnP5KqrsmpVpqYyNXWMnfP5+YVV+uhRnuA5u4z+P8v7WCzpGTeLpqhFYev8AwmecSPpk1BiZxIYEjwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8J65pMhgs9UlwPATPiet00u2m35f92BA8J6JpkuTvf8/sbCYn0+2madoHZzLBc9xGVT/0UD7/+Xzzm/nVr9LptI/RMfo/A3Ua/yYcp8Eg3W5mZnL77dm5M0nOPTerVuW223Lvvbn22px77sLBc3Ppdt/zXsASEjzHbX4+vV5+8Yvcfns70uksTOZr1uQrX8mXvpRPfSqXXLLwlMEgvV661pRLSvAct6ZJp5M//Snf/W7+8If88Y85cKD90eRk+v3263XrcuedufHGbNiQtWvbwX4/nU56PRP+0hA8J2VuLi+9lJdfzssv59lnc/hwknYmH5W/YUOuvz6bNmXz5qxe3Q7Oz7dLfU4nwXOCmib9fpYta789eDA7duS3v82TT+aXv2xX+L1ekszPJ0m3m/Xrc/XVufXW3HVXPvaxxa+W6P9DJ3hOStNkfj5Nk8nJduTQobz1Vp59No89li1b8u9/L37KsmX5+Mdz3XX52tfyxS/mggsWfjQYpGnM/B8iwXNqDO+6G96KMxrZsyePP56f/CQ7d2b//mP8lW56Ol/4Qr7+9Vx/fS68MFNT7Xi/n25X+aee4DnFjrk4//Of8/Of57nnsmNHdu1qB3u9dkpPsmJF7rort92WjRuzfn17pTAYtH8RsLd/qgieD9Ho9pvhxXyS7dvzwgvZsiUvvZSZmXZw2bL0+235F16YzZtzww3ZtCnXXdceMNoFMOGfJMFzOgwv9ZNMTLQj27bl1Vfz/PN54ons25cknU4mJhb29tesyVVX5bOfzR13ZOPGxa8WO3wnRPCcVsM7cCYm2lzn5rJ3b157LT/9aZ54Im+/3R529J08F12Uyy7LnXfmnntyxRULLzXcNTDtHxfBswRGn6sdLfWbJgcP5sUX8+ijee65vP32Mbb3P/KRXHNN7r03d9yRT3wi09On9ZzPDoJnKQ2v8BfdaX/4cJ58Mo8/nldfzZtvtjfzDI8ZfQ73xhtz993ZtCmXX54LLjDJ/78Ezxlk2P9oT/6f/8zTT+fFF/Ob3+SVV9rByck0TebmkqTTyS235Gc/yznnLM0Jjx3Bc8YZLvgHg4Wbefbuze9/n61b89RT+d3v2sGpqfT72bgxW7cu3PDHBxM8Z65h9kffxrdvX3btyjPP5Mc/zo4dSfLww3nggSU8xzEjeMbAsPyjP2N36FDefDPf/36+8Y1cemm7EcD/JHjGyaKLfI6X4BlXbr85ARP/+xA4I0n9BFgbQSGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FDIfwD+gHz/vE8paAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [0.7547936578699769, 2.0044157387030435, 9.237393310951944])", "action": "('move', [0.7547936578699769, 2.0044157387030435, 9.237393310951944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.7547936578699769, 2.0044157387030435, 9.237393310951944])", "action": "('move', [0.7547936578699769, 2.0044157387030435, 9.237393310951944])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHjElEQVR4nO3dS2tcZQDG8WeSlBBpWsWFrVihXuhFETeuBEWLuFZw1Y39Et25EvwQrr3gJxBc6UrFndBiLVKL9Va7iEUx5DLjYoZJmsZutI2T5/djFmfOnJmcCfmf951DmDMYjUYBOszt9Q4A947goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocjCXu8A/I+NRhmNJgtJ5uf3dnf+PcHDbjY2kmRhIYPBLes3N2c6+8FofOiCTsPhZBgfDjM/vzPm4TA3buS333LjRq5fz6VLOXAg58/vPArMDsHTZxr53Fzmbj2NNRplMMjGRj75JJ9/nmvX8v33uXo1V65sbbO6msXFe7zL/xVTevaj7cPY7aPx9sivXs3ly7lyJV9+mZdeytmzk6e8/34++OCWZx07lscfz5NPZnPzLu31PSB49pHpuH2HKfdolPfey9df5+LFXL2alZWsrOTPP5Pkxx/z+utZWsr8fJ5/Pl98kZdfzmOP5fTpHD+eQ4eyvJxDh7Iww9WY0jNrxlVPb+Np+Y7C19by119ZXc3167l4MRcv5oUXcubM5LP6iRP57rutjZeWcvBgDh/Oa6/lrbeyvDzZbG0ti4s75/wzboaPVTSanl27ff1gkJWVfPZZLlzIpUu5fDkXLuTmzckG587lzJlsbGRhIa++mq++ysMP58SJnDiRkydz6lQeeGDr1QaDzM9naWnrxcfj4viwMrNn7CJ4Zsw4xZWVXLuWn37KtWv54YecO5djx5LkypW88UbW17e2P3gwjz6ahx7KM89Mnj4Y5J13sry8c+geDieP7vpDZzny7QTPjJiO4efP55tv8ssv+fnn/PFHkjzxRM6ezWiU06fzyiv5/fc8/XSOH88jj+To0Rw9miNHJgP4+OP34cMZjbK+Pil5fNtfU/d/InhmxGCQ4TBLS/nww0nnSQ4dyqlTue++yd3Fxbz7bhYW8uCDO0+tjY8X0+UkBw7cmx3/X3HSjtkxHGZuLm+/ndXVPPtsnnoqR45kcTGLi7ucOd/c3JqlT2/1BM/+Mv17lvduTOmZNTuGqB1h6/yOBM+skfS/UHFmEhgTPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBTxrbXsvenFGvdE1fdcuxAFFDHCs/d+/TU3b06G1ukANF7Y9e6OlXdePxxOZhDThR13t6/f3Mxzz+X+++/aW91rRnj23ptv5qOPsrCQ4TDDYZJd+rxnf6effpoXX7zl2pP7iRGevbe6mrW1rK/fUvW0t9sv5Xx7iv/J5/DBIKPRLpel3E/29ZtjRqyvTwb2/4O1tb3eg7vJlJ699/HH+fbbzM9vDebjhfElnscLO+4mmZvbWrn9oX/aZvvG4/XjDbavTHLyZJaX9+o3cdcJHoqY0jOr7tJQtS/P1U0Jnlm1v8u8S/xrLRQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5GwDEbHC9fMj7AAAAAElFTkSuQmCC", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHY0lEQVR4nO3aW3MT5x3H8f/KkjGdHBp7WlLHMyU2CchAk7fARd5M7vLK8l46BJtD7NjOhIIpnWAOGUve7YVcHxLggmkC8u/zGV9InpW0O6Ovnmef3abrugIy9N72DgB/HMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP7b3gF413XdqadN85b24/9B8HDKJO+uO3zQNNU7Q/NgwZNu0nbXVdtW11W/X73eqWG8bevZs3r+rNvbqx+2mps364sv6saNatvp+y0QPHGO2p78DQaH3c7MHG6wt1ePHtWj3XZ3tzZ/6K2v1507dXe93dyuqpmq+vrrunGjxuOanX1rR/FmBM/Zd9T25HG/f9z2xPZ2/bhT2zvdzk6zvV2bm7W1VVubtffs5FYzg0ENBrW/XxsbVdN5Mi94zo6Tq2sna2yaU09//rnu3Knvv687a+N7G71/Peg9eFAPH9bDB017an2uNxhUVY3Hh+88GtVoVFXde+81+/s1GFTXTVn2gmcq/WppbXLW/dL2Dg7q3r26davW1mptrdbX6z+P68lePX1aL17MvOQFJ4xGVVWLfx2tXp+5stpbHdZwWBcuNAsL1e9PWeoTTferaw7wrjo88W6rq5f01rb1yy/14nm397S5e7du3qxbt+q7f45v322ev5gZj2s8fs17d001c+drbq7m5urixbp2rYbDunq1VldrYb4bDJr+4Pc9uj+G4JlWe3v1+HE9ftTu/rt3716trdXt27X+3Xjnp97JO8om19UO2qpT3/T2/PneRx/V/HzNz3cXl8bDq/3Lw+bKlbp8+XVr75M5xatmE+8+wTMd2rbu36/Nzbr/48HOT72trWZjozY3a+PuwYv9XtVxf4PZaqrG42rbo/91Vd2FC73FxVpaqk8+6f6+dLB8aebT5WZ5uRYWXvJZRz1PadivInjedZMR9fnz+uab+vbberTbdtUcF97U7KC67vB8++hF52baS1d6yyvNpZVaWa7Fv7WLS72PP67FxRqcnpxP1uQmg/YZu83mtyzaMQXatubm6smT2t2tfr/XtidG767296uqlpZqOKzhsFZX6/PPm78sNH+ebz78sN5/f7LdccejUXXd8TpfPymCpGNlOjVNjUY1O1uffVZVNTdXTVN/mmuXP22v/WNm9Wpz/XpdvlwffFDnztXs7NEk/LjwyXLd0Rg+OBPLb29G8EyByX0yX31V/X59+WUNh7Wy0uu9YvJ9dK2u/ncGHjWGv55zeKbVb7+5Z2yB7ffgp4+pMbkOfzQzl/cbMMJDkDN9CQI4TfAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5L9cUlJ3UAzNWQAAAABJRU5ErkJggg==", "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": "ce60ef8f03bf619a09c5db54eab4f5a906462e49b92810c3b0653ab3ca36aa15"} +{"episode": 8225, "episode_seed": 2473016768, "split": "train", "timestamp": "2025-09-15T22:48:16.284039", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2473016768, "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', [-37.04874221351478, -9.519130901463177, -17.9787693300576])", "action": "('move', [-37.04874221351478, -9.519130901463177, -17.9787693300576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-37.04874221351478, -9.519130901463177, -17.9787693300576])", "action": "('move', [-37.04874221351478, -9.519130901463177, -17.9787693300576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-37.04874221351478, -9.519130901463177, -17.9787693300576])", "action": "('move', [-37.04874221351478, -9.519130901463177, -17.9787693300576])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKhElEQVR4nO3cXeiedeHH8c/vYT9F29Zq6NJcjTVpTJPKHoSgFT0ceJBBaMKiNTCyTgxiBQo9SXim2UEao2WRQmIhSBERSzqpRTERdeRkLnHYltjWcG2/h7uD+95vmzar/3+1h8/rxQ7Gteu+7+tgb77f+3t9r3tsMBgE6DB+qi8A+N8RPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPCfTYHCqr4BXJHhOmtnZU30F/CuC5yQYDDI3l4mJJJmZGR3hNCR4/l+GYY+NZXw8992X9743v/vdqb4mTkzw/B8NJ/BjY0ny8MN53/vyqU/l17/Obbfl0KHRcU43YwNzL/5Dw9SHE/ht23Lbbbn//szNZXw8c3NJsmVL1q7NYCD7087kqb4AziSDQaanMzWVJI88ku9/P3femZmZTE4mydxcli7NRz6SCy88tZfJCRnh+XcNx/AkO3Zk8+Zs2pQ9ezIxkfHxTE9nbCzr1mXDhqxdm8TwfpoSPP/C/LJckv37881v5t57s317kkxOjtbkr7kmN96YD30oSaanMzmp9tOU4DmhwSCDwWhUn5nJd76Tb33rpalfeWW+8pWsXZvzz89gkNnZ0fSe05Pg+efmv5kfPJhf/CJf/nK2bUuSiYnRot2qVbn55nz84znnnCSZnc34uIH9dCd4XmpuLnNzmZzM7Gy2bMntt+enP02OGdVXrcr69bnpppx3XnL8nJ/TnOA56tg5+a9+lXvuyfe+lyRTU5mZydxcXv/6rFuXz3wmb3jD6Hydn1kEz8h8vY8+mjvvzAMP5IUXRvHPzGRqKp/9bD7xibztbaMjExNqP/MIvt2xE/K9e3PrrXnggTz7bJKjG2nWrcvnPz9KfXp6dCuOM5Hgex07gd+3L3fdlTvuyHPPJUdW5hYsyHvek69/Pe961+i02dnRBjvOUIIvNb8I//zzeeih3HprduxIjqzMjY3lHe/Il76Uj350dP7cXMbGzOHPeIKvM78If/hwfvzj3HVXHn44SaamcvhwkrzznVm/Pp/+dCYmrMCfbQTfZX577IMPZtOmPPRQkkxNZXo6g0FWrsznPpfrr8+yZcftuuGsIfizxSveIjv2H7duzTe+kV/+MgcOHN1Fs3BhNm7M9ddn5crE9tizl+DPWMMhePhnbOxEi2nDZfbhQP3UU/nqV/Pgg9m/P2Njo+n6Oedkw4Zs3Jg3vjFJZmYyPm5gP2sJ/kwzGGRmJoNBFix46RB8/CA/PHHBgiT5059y99254468+GJy5H7b4sV5//vzta/lsstGL5mf8HO2EvzpbfhjcYPBP38kZe/ePPdcdu/OM8/k6adz3XW5/PJhtfOL8M88kx/9KLffPrq1vmDB6Eb6hz+cm27KBz84+pBYmevgyabTzDC++Yn6+PjRufpw/H322WzZkh07smtXnn46u3Zl587RCeefPx/85GQOHsymTbnnnvz+98mRRfjp6XzgA7nhhlx7beKJlz6CP0WOnVgdG9zw7/NHdu/O44/niSeyYcPoUZXHHsuNN+bAgePebcWKrF6dVauSZHzs8OHcd1++/e389rfJkVH98OFcfnk2bszVV2fJktG8wS6aNqb0/yvzC2w58iOvLzczk927s21bHn00jzySxx7L88/nb3/Liy/mD3/IW9+aJE88kWuuyaFDueqqrFmTK67IqlVZvDivelXOO28wPjE2liefzJVXZv/+o8+3LVuWW27Jdddl6dLEInwxwf/XvPKN7NnZHDiQffsyGOR1rxutwP3gB1m/frSwPm/hwixalLvvztVXJ8nMTA4ezLnnjpbjTvCxN9yQ7343SS68MJ/8ZL74xbzmNcnxi/YUMqU/eYapDefKg0Gmpo4bQw8dyt692bMne/Zk5848/nj++Mds3ZolS/Lzn49m45dckomJXHJJli7NBRfk0kuzZk1Wr86aNVmyZPQ+k5NZuPC4D5135OPGx3PLLfnNb3LVVbn55qxYcfRcqZcT/Mkz3Gs+n9ShQ9m3LxdcMFps27w5mzdn587s3fvSV73wQpLMzeWyy3LvvVmxIitX5tWvPu60E+2rednB4YHly/Ozn2X58uSYJ17M4RH8yfP3v+epp7J9e7Zvz5NPZteuXHRRfvjDUfB//nO2bk2SqamsWZNLL83q1XnTm3LRRXnzm5NkbCxLl+ZjHxu92/T06OBwGf0/jHViIsuXj3bRWJljnuBPnvvvzxe+kL/+dfQMSpKLL85f/pLXvjZJrr02ixbliity8cVZtCiLF49W3ecN977Nzo7yPsFX9H/f8AkZOJb/ESfDcL69bFn27MnixVm6NKtW5S1vybvfnXPPHZW8enVWr37pq4Z5z98KHxs7iY36us7LWaU/GYbB79+fn/wkb397Vq8+4TR6fkdNfKXmFBD8f8fw9yKiak4vgj95hvfkTrSpBk4DgocixiIoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8g/295/iaKrRjAAAAABJRU5ErkJggg==", "image_next": "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", "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": "235aacb1985e5ddb872509335b96d7ffd8a1423e9f2239e9fdfec54fd15919d9"} +{"episode": 8226, "episode_seed": 4187543106, "split": "train", "timestamp": "2025-09-15T22:48:16.893999", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4187543106, "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', [1.7179622314600145, -4.914004688168583, -11.365596382344384])", "action": "('move', [1.7179622314600145, -4.914004688168583, -11.365596382344384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.7179622314600145, -4.914004688168583, -11.365596382344384])", "action": "('move', [1.7179622314600145, -4.914004688168583, -11.365596382344384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.7179622314600145, -4.914004688168583, -11.365596382344384])", "action": "('move', [1.7179622314600145, -4.914004688168583, -11.365596382344384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "20429c7fbd2916b6f843d781717f0c889673f84fa4f52f78c8f146b7e066d204"} +{"episode": 8227, "episode_seed": 1164017298, "split": "train", "timestamp": "2025-09-15T22:48:17.504577", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1164017298, "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', [-72.35797658833633, -16.61663838155106, 13.378675930768813])", "action": "('move', [-72.35797658833633, -16.61663838155106, 13.378675930768813])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-72.35797658833633, -16.61663838155106, 13.378675930768813])", "action": "('move', [-72.35797658833633, -16.61663838155106, 13.378675930768813])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-72.35797658833633, -16.61663838155106, 13.378675930768813])", "action": "('move', [-72.35797658833633, -16.61663838155106, 13.378675930768813])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIcElEQVR4nO3dXa8dVR3H8f+afQ4pCaEIQWlMVHpBxEBpFIg2lRRanhIiJESoEAXfBG+C14CgBhFuCA8hRajVklQrppYYA4jy0DSiUCxpSFro2TNe7BPiRenDwXj29Pf53J19tS72d6+ZNWudacMwFJChW+0BAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggp93fV99v9qD4GyxsNoD4DMNQw1DdX6T+d/xbZpfrVXX1Tvv1I4ddezYao+Gs4Lg59Fsbj9woB54oG6/vW69tf7w8vLn8HkIfh4NQ7VW775bDz5Yr7xSCwv16M/6qmpttUfGyAl+Hs3C3rCh7ryzuq6WpvXkk/XRR6s9LMZP8POotVpaqnPPrZu29X3fTyZ16N/dU08Nw2DFns9F8HNqNslvvq679GvddKmGYXj0531rVW7j+RwEP6cmk+r7uvzy+u7moWqoavv2T/7+ZnUTkzwrJ/j5tbRUrdX1Nwxr1lRVHTo0PP6LYfY5rIzg59fiYlXV927vLr20VdV02nb9po4dq4UFz+dYIcHPr9nS3YUX1qZNy7f0f9rf9u6trqvpdLUHxzgJfq7NOr/33lqzprquPvigdu60bMfKCX6uTSY1DLVlS61fv7xW9/yO4b1/1sKCpTtWQvDzbrbr7q67qqomk9q3b9i/fyjbbFkRwc+72Wm5e+6prvrWamna7Xi+LS0tT/5wRgQ/DuvX1/U3tOm0WqsnHpseel/rrITgx6Hr6r772zAMi4v1j39N9vyumd5ZAcGPwGx97rrrhi+s7We7bh5+qG/N4TnOmOBHoOtqGGrduvb97ZN+qK6rF1+sgwdXe1iMkODHoZ/WOefUzdv6GvrW6tgn3eOPD1UeznFmBD8OrauquvqatmFDm06rVf3yMTfxnDHBj0PX1dJSfeWrbeu2qqqh6q9vdHv2VGsmec6A4Efmphvb+edXVR05Uk88Ua3ZV88ZEPxozE7Ib95cV1yx/Mnu3fXhh7bZcgYEPxqzyfy882rLlmqtqtVrrw0v/Ko3yXP6BD8ms+2027fXBRdUDXX0aP16V/v0czglwY9J11Xf15VX1pXfmLZWrbVdu9rf3lh+UA+nJPiRme2u+9GPJ8NQ3aRef73f+/u+HJ7j9Ah+ZGbB33FHrT1/GPqq6p59rvv4mKt6TovgR2YW/EUX1W23DX1fk0k991z/zgEn5Dktgh+f2Zvn7ru/q+onkzpypO3c2cqLqDgNgh+l1mrjxuGyy+r48Wqt/fTh6fHjgufUBD8+rdUw1MUXt7vv7oahJgu19+Xu1VeXZ344CcGP0mxr3batw5o1s6W79sgjyz8EcBKCH6XZP7q7amPbtKnNttk9/XQdPeqqnlMQ/CjN3lGxdm1t27b858GD9cILDs9xCoIfsWGorVtr3boahvrkk+GxR6dV9tVzMoIfq9lOm2uvrW99c/YQvv1x3+TAAYfnOBnBj9Wnh+RuvnFYXByq6u23h2efcXiOkxH8iM0m+Tvv6r70xaqqpaXatat9/LGzNHwmwY/Y7PDcunX1nW/P+m67d9df/jxMJiZ5Tkzw4zabzH94X9d1NZnUe+/X7pdss+UzCX7cZq+juOWW+vK6ad9XVXvmmTp82OE5TkzwZ4PFxfrBvd1QNVmol37bv/WmE/KcmOBHbxb29rvbpIZzFut43z30k246Xd6NB//Nl+Is8fXLa8NVdfRoXX11bdzoHp4Ta4Mrv7NC39eePXX4cF1zTV1yyWqPhnkl+LPQMJjhOTGX9GeVvlc7J2OGhyBmeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH+UCtohAmUBQAAAAAElFTkSuQmCC", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIcElEQVR4nO3dXa8dVR3H8f+afQ4pCaEIQWlMVHpBxEBpFIg2lRRanhIiJESoEAXfBG+C14CgBhFuCA8hRajVklQrppYYA4jy0DSiUCxpSFro2TNe7BPiRenDwXj29Pf53J19tS72d6+ZNWudacMwFJChW+0BAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggp93fV99v9qD4GyxsNoD4DMNQw1DdX6T+d/xbZpfrVXX1Tvv1I4ddezYao+Gs4Lg59Fsbj9woB54oG6/vW69tf7w8vLn8HkIfh4NQ7VW775bDz5Yr7xSCwv16M/6qmpttUfGyAl+Hs3C3rCh7ryzuq6WpvXkk/XRR6s9LMZP8POotVpaqnPPrZu29X3fTyZ16N/dU08Nw2DFns9F8HNqNslvvq679GvddKmGYXj0531rVW7j+RwEP6cmk+r7uvzy+u7moWqoavv2T/7+ZnUTkzwrJ/j5tbRUrdX1Nwxr1lRVHTo0PP6LYfY5rIzg59fiYlXV927vLr20VdV02nb9po4dq4UFz+dYIcHPr9nS3YUX1qZNy7f0f9rf9u6trqvpdLUHxzgJfq7NOr/33lqzprquPvigdu60bMfKCX6uTSY1DLVlS61fv7xW9/yO4b1/1sKCpTtWQvDzbrbr7q67qqomk9q3b9i/fyjbbFkRwc+72Wm5e+6prvrWamna7Xi+LS0tT/5wRgQ/DuvX1/U3tOm0WqsnHpseel/rrITgx6Hr6r772zAMi4v1j39N9vyumd5ZAcGPwGx97rrrhi+s7We7bh5+qG/N4TnOmOBHoOtqGGrduvb97ZN+qK6rF1+sgwdXe1iMkODHoZ/WOefUzdv6GvrW6tgn3eOPD1UeznFmBD8OrauquvqatmFDm06rVf3yMTfxnDHBj0PX1dJSfeWrbeu2qqqh6q9vdHv2VGsmec6A4Efmphvb+edXVR05Uk88Ua3ZV88ZEPxozE7Ib95cV1yx/Mnu3fXhh7bZcgYEPxqzyfy882rLlmqtqtVrrw0v/Ko3yXP6BD8ms+2027fXBRdUDXX0aP16V/v0czglwY9J11Xf15VX1pXfmLZWrbVdu9rf3lh+UA+nJPiRme2u+9GPJ8NQ3aRef73f+/u+HJ7j9Ah+ZGbB33FHrT1/GPqq6p59rvv4mKt6TovgR2YW/EUX1W23DX1fk0k991z/zgEn5Dktgh+f2Zvn7ru/q+onkzpypO3c2cqLqDgNgh+l1mrjxuGyy+r48Wqt/fTh6fHjgufUBD8+rdUw1MUXt7vv7oahJgu19+Xu1VeXZ344CcGP0mxr3batw5o1s6W79sgjyz8EcBKCH6XZP7q7amPbtKnNttk9/XQdPeqqnlMQ/CjN3lGxdm1t27b858GD9cILDs9xCoIfsWGorVtr3boahvrkk+GxR6dV9tVzMoIfq9lOm2uvrW99c/YQvv1x3+TAAYfnOBnBj9Wnh+RuvnFYXByq6u23h2efcXiOkxH8iM0m+Tvv6r70xaqqpaXatat9/LGzNHwmwY/Y7PDcunX1nW/P+m67d9df/jxMJiZ5Tkzw4zabzH94X9d1NZnUe+/X7pdss+UzCX7cZq+juOWW+vK6ad9XVXvmmTp82OE5TkzwZ4PFxfrBvd1QNVmol37bv/WmE/KcmOBHbxb29rvbpIZzFut43z30k246Xd6NB//Nl+Is8fXLa8NVdfRoXX11bdzoHp4Ta4Mrv7NC39eePXX4cF1zTV1yyWqPhnkl+LPQMJjhOTGX9GeVvlc7J2OGhyBmeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH+UCtohAmUBQAAAAAElFTkSuQmCC", "image_next": "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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": "e4203ff3e4c4bb3d3f5ecfce748ceb9168e3ddab0fe3d289e69248e8fdb70a30"} +{"episode": 8228, "episode_seed": 2008322001, "split": "train", "timestamp": "2025-09-15T22:48:18.447242", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2008322001, "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', [6.183132087568531, 3.9761232200896512, -36.3050971175387])", "action": "('move', [6.183132087568531, 3.9761232200896512, -36.3050971175387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.183132087568531, 3.9761232200896512, -36.3050971175387])", "action": "('move', [6.183132087568531, 3.9761232200896512, -36.3050971175387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.183132087568531, 3.9761232200896512, -36.3050971175387])", "action": "('move', [6.183132087568531, 3.9761232200896512, -36.3050971175387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "4ff4391eede17deea38027811475d2dc30d7cfc8057743a767be44fdd2549de3"} +{"episode": 8229, "episode_seed": 302343329, "split": "train", "timestamp": "2025-09-15T22:48:19.053285", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 302343329, "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', [1.755514590629643, -2.2555754121200997, -9.522647799780222])", "action": "('move', [1.755514590629643, -2.2555754121200997, -9.522647799780222])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.755514590629643, -2.2555754121200997, -9.522647799780222])", "action": "('move', [1.755514590629643, -2.2555754121200997, -9.522647799780222])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.755514590629643, -2.2555754121200997, -9.522647799780222])", "action": "('move', [1.755514590629643, -2.2555754121200997, -9.522647799780222])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHJElEQVR4nO3dS1Lc5h7G4b/U2G1clRsBbJ9RVpBhdpIVZJJdZHfZSU5xx1yqoA6tVgYSsZ14KB8p/T7PCHrCN/nxXaSWmr7vC8jQzj0A4P9H8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBkb+4BwM7abquqmqaaZu6hPGv6vp97DLDLhuzbZSymlzEK2DnbbZ2d1fv31bZLqb0s6WFy2221bZ2f16+/1slJffNN/fxz/fJLbTa1N3dwc/992DnDLvn8vH7/vc7Oqqp+/LGvaoa1/bwED1/E5WW1ba1WtVrVDz9U1SKO7hazt4BdMczwV1d1f19dV6u9OjhoSvCwk8bgL7cPD31VvXpZh4dVgoedNAR/fbHtur6q1mvBw667um6qmqp6ua6jo7lH88yhHUxsmMnf362GX9fr+v77D5/PywwPU+r7Wq2qqm5uxk9erevVq+o6wcMuatt6evoQ/Ldfbep5Yz87wcOUhrBvbur2dvzgzduqZaznS/DwJdzd/TXDN8fvFnRSJniY0jDD395+WNIfH884nL8TPEzv9rZu3ldVtW29eVNlSQ87aZjh7266u7uuPgp+IQQPUxqX9HfVbatpq23HJf1CZvgFHSfADhjCvrtfVVXbfAh+IczwMKUh+Kurqqq+r3ZlDw87qu/Hp1ldXIy/7q+3X38976A+IXiYUtPUZlOXl1VVfV9vD7u5R/QJwcPEHh/H4KvqzbtlLOWfCR4m9vDwUfD/Wda5uOBhMsM1ucfH8dCuFnabXQkeJvf4OB7aVS3rrpsSPEzu4aGur8dvxb99O/doPiV4mNjDQ202Y/DDkn4hX4YvwcPkhg38cKeNJT3srCHy4W0zfV9V/XIeXzkQPEzm4+C7be2/2KxfLmY1X1WCh8mdnlZVdV0dH9eLF3OP5lOChyl1XZ2fV1VVX0fv9l68dKcd7K7NZlzSV9XRUTP7+6H/RvAwpW7Tn52O74U+OhqX9Av5bmwJHqYyXGx/2tTZf7uhcHt42HFdV2eX7XDXzdIuwpfgYVr3983/NqvhMRjDRfjl3GZXgodpDdfkBkPw2+1cY/kMwcOUhuCHWX1RD7caCB6mNAS/2dR63e/vzz2afxA8TOmvGf67b/vX+30t6ZpceS49TOvkeQ9/cNjuv551KJ9jhocpnZ2Mh/IH39VrwcNuO/1jM/xwcFDDHn5RS3rBw5ROT8e+Dw6WOMPbw8M0hpn8+n413E57eFir1bLuuinBw4QuL+vkZJzhh+m962pRX5hb0ljgX6vvq2lqtarffquLi7q4qJ9+mntMn9P0S1tzAF+MGR4m0/f19FRVtbc3vkZ2aczwML1hhb9Ai/wvBP9yy6y9BA9RBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gSZzRBI06/nuQAAAABJRU5ErkJggg==", "image_next": "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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": "c689cd749e5c73f895491ced0a5aa7acc94e51c509e3276269749cf126c2d732"} +{"episode": 8230, "episode_seed": 602031593, "split": "train", "timestamp": "2025-09-15T22:48:19.663035", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 602031593, "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', [-5.052166007365026, -2.9933656831909343, 4.0753580911519505])", "action": "('move', [-5.052166007365026, -2.9933656831909343, 4.0753580911519505])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.052166007365026, -2.9933656831909343, 4.0753580911519505])", "action": "('move', [-5.052166007365026, -2.9933656831909343, 4.0753580911519505])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.052166007365026, -2.9933656831909343, 4.0753580911519505])", "action": "('move', [-5.052166007365026, -2.9933656831909343, 4.0753580911519505])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKOklEQVR4nO3c3YtdZ8HG4XtmkmAb1GLQBCpNI8WaQGprlBBpmdYaDTESSa3Ej4LFf0A891D01BPBAxUN2kJBbZSmCdKUpKb1IyamYrHBKupUg9BgaxN1PvZ7sHczyTR93742H9Pc13U0rL3WsGDmt59nPWvtPTYYDAJ0GL/cJwBcOoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoLnPAaDy30GXByCZ6HBIGNjSTI7q/wrjeBZaGwszz+fJBMTGRvLzIzyrxxLLvcJsOicPJlt2zI5mW3b8q535S1vSZK5uczMZGIi48aI17OxgbduXjI7m4mJfOtb+dznRkP6Bz+YzZtz223ZtGm0z8xMxsdl/3oleEYGg8zNZWIimzbliSeybFlmZzM7myQrV2bTpkxOZseOXHfd/P7J6Gqf1wvBM2+4XPfNb+Yb38ihQ6ON4+OZmxv9/I535JZbsnNntm/P0qXzB87NZWxM/K8Dguc8Tp/O8ePZtSvf/36mpvLvf5/z6tKlWbkyO3bknnuydm2WLx9tn5nJ2FjGx5W/eAme/83sbPbuzXe+k8OH8/vfj6bxZ4/5t9ySe+7JnXfmhhty9dWjQ4aXBq7zFyHBc34LLtGffTY/+EH278/Pfpa//CVJxsczMZHp6SRZujTbt+fDH87GjVm/fnTI9LTsFx3B83+Ym8vcXJa8dAP3l7/MY49l3748/PDoTWHp0tGonmTNmtx6a+68M9u2ZcWKxNreIiN4XpW5udFNu+GI/Y9/5Kmnsn9/du3KU0+N9pmYGK3qL12aG2/Mxo351KfygQ/M/5LBYLQuqP/LRfD8Pwxv3Q0G8wP+yZM5diy7duXBB/Pcc/PX9kPLl2f16tx9dz796Vx//fzCvpv5l4vg+W+cuWl/xgsv5Ic/zPe+l2PH8uyzo41jY6Mp/cREJifz2c/m/e/PddeNyh8+sTt8gJdLQ/C8Ji+/RD9+PA88kEcfzeHDee65JFmyJIPBaLZ/zTW5665s2ZING7JmzegQy3uXjOC5YIaz/TPD/iOP5MCB/OQn+elPR1uWLct//jP6+d3vzuRkbr89W7bkqqtGhyeyv7gEX+DSLpQvWN47cSK//nX27cv992dqKsno6n1mJkmuvjo33ZTbbsvOnXnPe845ZfP8i0HwV6jBIC++mOXLL1c3Z+bww+W9wSB/+1t+8Yt8+9vZsyenTy/cf8WKvPOd2bkzn/hEVq261GfbQ/BXnOHg+Pe/5+abs3ZtPvKR3H57rr02K1bMz7aH99YvyUL5gnl+kr/+NQ88kPvuy9NPjy7yz3bVVdm6Nffem8nJ0UO7hvoLSPBXnGHw+/efcwd8/fps3ZrPfz6rVo1SH5qeHj3+fvHLf/mFxeHDue++PPZYnnwyp04lGb0vzM7mzW/OoUNZt250dcCFIvgrzjD4P/4xP/pRjh7NkSM5ciRJli/P8eNZuTJjY5mayrFjee9787a3jY4azr8v1Qdfzl6fO3Uq+/blkUfy6KN58snRDh/9aHbvVvuFJ/gr3R/+kKefzs9/niRf/GJmZrJkSb785XzpS1m7NuvWZdOm3HFHbrzxPMde5KWz4fLemadxnnkmhw9nz578+Mf5yldy770Lb/Xz2gn+CrVgrTzJ9HSWLBk19LGP5cEH53detSpr1uSOO7J1a973vixbdk7qs7Ojp2EvTvwLlvempzM1lbe+df5Tt1xAgr+iDR9eH0Z+dq6nTuXo0Tz8cPbuzfHjOXlytP2mm7J7d1avHr1fnD6dN71p/qjp6dHV/sUp/+XLe1xwgq/xSvPzZ57Jvn05eDCHD2dyMl//+mjP7343X/taPv7xbNiQ1auzevUlO00fsLl4BN9q+HcfDObn/FNTmZ7O9ddnMMj0dDZvzoEDo5duvjmbNmXDhqxfn/XrR0/G5aVB2XfcvH4Ivt5wzj83d86X1M3MZPfu7N+fQ4fyq1/Nb7/22nzoQ/nqV/PGN54zZTj7v0j8i5jgecl5n2Wfmsqf/pQnnsjevTl0KC+8kO3bc//9WbYs4+PZsydHjuQzn5n/LlsWN8HzChbcBP/Xv/L883nooaxdm40bR1vuuisPPZRrrskNN2TLlmzdmnXrsnz5/MflWWQEzysbLqDlZcP+8Fm9EyfyhS/k4MH8+c/zL7397dm8Odu2ZceOS3qqvDqC51U7++HYMxfwv/tdDhzI44/nt7/Nb36TF19MkltvzcGDPvK2CAme/9Zw/D8z+J84kaNHc+xYHn88n/xk7r77sp4c5yd4XpvhIzrJ/CL/P/+ZJUvyhjdcxpPilQieC2R4by+xYreYCZ4LzTfRL2LejLnQpL6I+cZAKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPI/blCgF4m7PlQAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH0UlEQVR4nO3c3a8U9R3H8e/MHkikAlajBtooJNRQHwJVYkA5JVHRUKEXTe/9A/xTvPXaKy+5aKqpNCRCeKggVNTSGkxrIJxAGmhDERHh7Ewvdj0nPDSNbSmH/bxelzuzk9nsvvc389vfOU3f9wVkaO/0CQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKfQH1ffX+nT4IFSfATqGmqaWo4rK6706fCAiP4iTIa2M+fr6+/rsGg2va6TUZ+BD9RhsOqqjfeqLVr65e/6N56q06fHo/zo2G/aarrajhUfqim985PkFHwGzfW0aPjRxZNdevX1fafty9vrVWr+wceaBYtGm+ana2qatvrLgSYbIKfHMNhDQZ17FhNT9dXX1VVtYNqvv0WqOpXPdK/uLXdsqUef7zWrKnly8dPnJ2tvr/xFoCJJPjJ0XXVtjUzUzt31pGj9fsj/YnP+9Fd22CqBm1dvTre8777atOm2vBMv35d/8yz7aOPzB+h76ttq2nu0GvgNhP8xDpxok581h39qN2zpz9woKsaVFXT1NRUXbs22qVfvKjW/rh57Efdc5vqhZfadetuPMjo06H/iSH4SdP3NTtbU1Pzlf79b3X2bH/4w2bXrtq9uy5cuMWTmqYeeqj5wYpu8+b62Y72p9N1zz3X7TEczk/7cfcS/GQa/QLXdTUYzCfadXXpUh05Uu/8ut/92+7MXwcX/1Fd31ddF/HUVC1fXlu21PbtNb25f/jhZumy+a2zs9U0LvvvVoKffKP4b56Q+8Px2r2r27u3/vxFe+pUf/lyjcofDObm+aqq2/hsvbKtnd7cr15dj65qBoPxhqtXxzP8pvruIoKPM/eGzw3RZ87Wwf39oQ+6T48PPvmkzp0bP75o0fgGoaqqusfWNM9tbjY83a1b36z/SXPvvePdjPl3EcHn6rrxtPzcL/NfflnHj9fx43X4cO3d0//li/Ek/2hG4Nupvu7BB9snn6qnnqznn6/p6VqxYv6YN3+bsKAInluUPztbMzP9yZO1f3+z6zfd7w7V3KLMtp1for9kSa1cWWtWD198qd32avPEE3fg5PlOBM+8UfZ9X1NT8w9evlznztX779c7vxp+cKguXBxcuXLD8/q2aZZ8r364cvjyK82rO9oNT/dLl80v6WPhEDy3MPdnNjdMyH3zTe3bV++9VwcP1sxMnTkz+vA0df3I//1lwxe2Dl57rXbsGC8HYoEQPP/eLe/Mjx2rfXuHR462f/qs+eOn/dVhjcpfvLi6rmZn6/XX680369q1MtQvHILnuxnd8DdNzf0+d/p0ffxRd+zj5vCHzYF9w4uX2qpmyZLaubO2bRuvAmKBEDz/odE/2Bit1R25cKFOnexPfN68+26dP19vv1333199b8Z+ARE8/62bx/xr1+rKlVq69I6eFrcieP5n/tVUHwuH4LktXMkvTL6KuS3UvjAJHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8E9+gqiDu42t0AAAAAElFTkSuQmCC", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH0UlEQVR4nO3c3a8U9R3H8e/MHkikAlajBtooJNRQHwJVYkA5JVHRUKEXTe/9A/xTvPXaKy+5aKqpNCRCeKggVNTSGkxrIJxAGmhDERHh7Ewvdj0nPDSNbSmH/bxelzuzk9nsvvc389vfOU3f9wVkaO/0CQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKfQH1ffX+nT4IFSfATqGmqaWo4rK6706fCAiP4iTIa2M+fr6+/rsGg2va6TUZ+BD9RhsOqqjfeqLVr65e/6N56q06fHo/zo2G/aarrajhUfqim985PkFHwGzfW0aPjRxZNdevX1fafty9vrVWr+wceaBYtGm+ana2qatvrLgSYbIKfHMNhDQZ17FhNT9dXX1VVtYNqvv0WqOpXPdK/uLXdsqUef7zWrKnly8dPnJ2tvr/xFoCJJPjJ0XXVtjUzUzt31pGj9fsj/YnP+9Fd22CqBm1dvTre8777atOm2vBMv35d/8yz7aOPzB+h76ttq2nu0GvgNhP8xDpxok581h39qN2zpz9woKsaVFXT1NRUXbs22qVfvKjW/rh57Efdc5vqhZfadetuPMjo06H/iSH4SdP3NTtbU1Pzlf79b3X2bH/4w2bXrtq9uy5cuMWTmqYeeqj5wYpu8+b62Y72p9N1zz3X7TEczk/7cfcS/GQa/QLXdTUYzCfadXXpUh05Uu/8ut/92+7MXwcX/1Fd31ddF/HUVC1fXlu21PbtNb25f/jhZumy+a2zs9U0LvvvVoKffKP4b56Q+8Px2r2r27u3/vxFe+pUf/lyjcofDObm+aqq2/hsvbKtnd7cr15dj65qBoPxhqtXxzP8pvruIoKPM/eGzw3RZ87Wwf39oQ+6T48PPvmkzp0bP75o0fgGoaqqusfWNM9tbjY83a1b36z/SXPvvePdjPl3EcHn6rrxtPzcL/NfflnHj9fx43X4cO3d0//li/Ek/2hG4Nupvu7BB9snn6qnnqznn6/p6VqxYv6YN3+bsKAInluUPztbMzP9yZO1f3+z6zfd7w7V3KLMtp1for9kSa1cWWtWD198qd32avPEE3fg5PlOBM+8UfZ9X1NT8w9evlznztX779c7vxp+cKguXBxcuXLD8/q2aZZ8r364cvjyK82rO9oNT/dLl80v6WPhEDy3MPdnNjdMyH3zTe3bV++9VwcP1sxMnTkz+vA0df3I//1lwxe2Dl57rXbsGC8HYoEQPP/eLe/Mjx2rfXuHR462f/qs+eOn/dVhjcpfvLi6rmZn6/XX680369q1MtQvHILnuxnd8DdNzf0+d/p0ffxRd+zj5vCHzYF9w4uX2qpmyZLaubO2bRuvAmKBEDz/odE/2Bit1R25cKFOnexPfN68+26dP19vv1333199b8Z+ARE8/62bx/xr1+rKlVq69I6eFrcieP5n/tVUHwuH4LktXMkvTL6KuS3UvjAJHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8E9+gqiDu42t0AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "7bc3143e32d9949b2c63ad94ec7d03fe76d673b8ff529d4e7adc2723238e017e"} +{"episode": 8231, "episode_seed": 3716692173, "split": "train", "timestamp": "2025-09-15T22:48:20.273924", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3716692173, "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', [-19.00658002679805, 2.5616328687780245, -36.42798533017145])", "action": "('move', [-19.00658002679805, 2.5616328687780245, -36.42798533017145])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-19.00658002679805, 2.5616328687780245, -36.42798533017145])", "action": "('move', [-19.00658002679805, 2.5616328687780245, -36.42798533017145])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-19.00658002679805, 2.5616328687780245, -36.42798533017145])", "action": "('move', [-19.00658002679805, 2.5616328687780245, -36.42798533017145])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "b1c606a2494f54ea0ff27800f36dc4c42d76273d83575fef55e4ff4d146dea95"} +{"episode": 8232, "episode_seed": 180683179, "split": "train", "timestamp": "2025-09-15T22:48:21.213401", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 180683179, "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', [1.8676320990432949, -11.323057862574265, -13.860972474013229])", "action": "('move', [1.8676320990432949, -11.323057862574265, -13.860972474013229])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.8676320990432949, -11.323057862574265, -13.860972474013229])", "action": "('move', [1.8676320990432949, -11.323057862574265, -13.860972474013229])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.8676320990432949, -11.323057862574265, -13.860972474013229])", "action": "('move', [1.8676320990432949, -11.323057862574265, -13.860972474013229])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGN0lEQVR4nO3czW4cVRqA4a/sBLNIHE0II9uBDVeBxJ1yY+xnHBIrEPKjEEtOd82iHTE3AC3V+zwru1fHll59p6pO17Ku6wANJ8deAPDPETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPBUrOvs97Oux17HUS1r/B9Az34/J9VJV/27KTkMtZcv55df5tOnbu0jeAru7mZmfv55fvppfvhhfvxx3r2bmeL2/sGxFwB/u9PTmZnr6/njj5mZk5M5P591nWU57rqOwIRn49Z1Tk9nt5u3b2dZZlnm4tvdssx+f+yVHYPg2bjDvv3du3nzZtZ11nWuLntb+S8ET8KHD/Pmzf3PV9+fzhT38yN4Nu+vCf/7/SfPv0u2PjOCJ+L92/X33+6v2q+ujruWYxI8G3eY8O/frx8/zcnJLMs8fz5T3dJ7LEfC2w8nM3NyMutqwsN2HSb5b69nvkz78oQXPFt2eAg/M69e3f96fj5Pnhx3UcckeLbv7m5ubmZm9vu5utw7Sw9bdnt7H/zMXF358gxs2u3tvPoS/PPvTppX7weCZ8sOd+luP603L3eHT8q36EfwFNzerjev1pPTGcEfewHwt/v453K3O334YObLM7ngN+EPHLxhyw6X6zc3f121H4LPMuHZvpcvZ2b26yyze/r02Ks5KsGzZYcJ/+LFzMznz/Pk0f7sq+pufmYET8Gvv87MrPu5/P7B2Vn4oZzg2bzd7j74mbm8XM6+Pupqjk3wbNz/B39xMWdnR13NsQmejdvt5sX17nAxf3ExX3117AUdleDZuLu7ublZDt+Zu7iYZYm+oPpA8GzW4XTN69fzeXd/fv7ycmaiL6g+EDwbd309M7POzOy/+dd+wsfsRvBs3uGO3W43y7J/9Gim+q6bA8GzcfcTfj/Pnp4+fhJufWacpWfzDudqZ+bZv5fHj2dMeNikw7X69X/u79F983QOW/oywbNxL/57/+qLZ9/O+flMe8Iva/mWJQF/fpzdfmbm4cP5un2udgQPKbb0ECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyE/A8pfdH0NqQuOwAAAABJRU5ErkJggg==", "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": "aa71be937552e4baa4b3dffce38aeafa64ec734c480c9cfd14b3029142bfe8b7"} +{"episode": 8233, "episode_seed": 742078401, "split": "train", "timestamp": "2025-09-15T22:48:21.821865", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 742078401, "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', [16.655892389975545, 11.890537218123725, -58.06427052466387])", "action": "('move', [16.655892389975545, 11.890537218123725, -58.06427052466387])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAItUlEQVR4nO3dvW4d1R7G4f/2V7zt5CSiAIkmJUKRQDQUoIiGkpICiYqCi6DgBihouApKGgQFJTVCFDSIBoRAASUkxkns7ZlTzPbHCac6njDrzPs8leNqKdo/rzVrZq9Z9H1fQIaNqQcA/HMED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEzxz1fZ2cVNdNPY7mLPq+n3oMwD9ka+oBwKj6vhaLunevPvusfv213nmnbt6srqsNi9kqwTM3Q/C//FLvv1/Hx3XrVt28WZaxp/zZY4729+uFF2pnp46OqqoWi6kH1ArBM0dbW+va//yzSvDnBM+8DG1vb9f167WzU4eHUw+oLYJnjra36+iojo7qp5+qzPDnbNoxR8tlvfdevfZavfnm1ENpi/vwEMQMz0wNj9ktFtbzF7mGZ6b6vh4/Xt+W45TgmZ1hbv/ii3r77frwQxv1Fwme2RmC//77+vzz+vLL9SRvr6qqBM8MDW0/80xtbtbRUZ2cTD2ghgiembpypU5O6t49wV8keGZn2Jbf3a2qunvXt+IvEjwztbtbGxv1+HGtVlMPpSGCZ6aWy9rfr40Nu/QXCZ7ZGZb0y2Vtb1fX1d27Uw+oIZ60Y3aG4K9dqxdfrDt3anPz/JfxPEvPTK1WdXBQfV/XrtWWiW1N8MydA+0uEDwEsdRhdoZzLFer+uqr+uabun27Xn996jG1wlKHmeq6+uST+uCD+vTTqYfSEMEzR11XOzt19WptbdXx8dSjaYjgmaNhZ2pvr1arundv4sG0RPDMzmKxfn5+eJx+OKmaqhI88zTM8MtlleD/g+CZr6tXa7EQ/EWCZ77296vv686dqcfREMEzR8OT8//6V+3u1mLhfKsznrRjjoZnb378sb79tm7cqDfe8HTtQPAQxJ895qvvLeafIHhm7eCgfv65Hj6cehytEDxzNJxU+9139eqrdetWff11VTnNsgTPPA279Feu1IMHdf9+/f771ANqheCZr2vX1s/eHBxMPZRWCJ45Gmb4vb3a2am+r/v3q7xtqkrwzNZwmt2VK1W1Dh7BM1tdV5ubgn+C4Jmjs2/IDqfTexfFKcEzU8MV+2pVx8f1ww/nv8nmEEtmanj/xLvv1ksv1SuvVJXH6cuz9BDF3zxmre+r67wi/owlPbM23JC3mD/lP4K58xrJCwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQTftL73BkTGJPimDe9Q6DrZMw4vk4Qg3i3Xoq6rjY367bf66KM6Pq7lst56q27fnnpY/P8TfLv++KM+/nj98/XrgmcEgm9X19XeXp2cVN/X889PPRpmQfDtWq3q8LC2tmq1qt3dqUfDLNilb9fxcdXpq82vXq0qe/VcluDbNQQ/3Jnb3592LMyE4Nt1eHj+8zDDwyUJvkXDrH4xeDM8oxB8u/76q+r0un1vb9qxMBOCb9fBQVVV39diUdvbU4+GWRB8i4Yl/dkMv7NTm5vTjoiZEHy7Hj6squq62t9f35yDS/I5atewpB+etxM8o/A5alTfr5f0VbW/b0nPOATfqCeCN8MzCp+jRnWdGZ7xCb5RXbe+hq9yDc9ofI4a1XXrXfoSPOPxOWrUf13SD/fn4X8m+Eb1/fmS3qYdY/E5as7w8PwTM7zgGYXPUaO6rg4P12v4vT2LecYh+EYNu/TDxO67sYxF8I0alvRD8MN3Y51vxeUJvlGr1fqLsWWGZzyCb9TZjl2dBm+G5/IE36ize3Jlhmc8gm/UxRl+uawywzMGwTfq7HyrqtrZmXYszIfgGzXM8F1XVQ60YzSCb9TZgXabm4JnNIJv1NkMv7tbW94AyEgE36izXfrlcj3De7qWyxN8o/4ePFye4Bt1dltO8IxI8I26OMO7hmcsgm+UGZ6nQfCNcg3P0yD4Rv19hrdLz+UJvlEXg3cNz1gE3yhLep4GwTfKLj1Pg+Abdbak392txcJ3YxmH4Jsz5P348fqfw4F2XWfTjhFYLLbo0aOqqs3N6nunXzAmwbdlOLjywYN68KBOTqqcfsGoBN+ik5N6+eW6f78ePqznnqsywzOSRe+j1J7hUPpHj+ru3Xr22bpx4/zIargMwUMQS/pG9f16Gb9YmNsZjRkegrgPD0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+DXm2yBQzawDKAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAItUlEQVR4nO3dvW4d1R7G4f/2V7zt5CSiAIkmJUKRQDQUoIiGkpICiYqCi6DgBihouApKGgQFJTVCFDSIBoRAASUkxkns7ZlTzPbHCac6njDrzPs8leNqKdo/rzVrZq9Z9H1fQIaNqQcA/HMED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEzxz1fZ2cVNdNPY7mLPq+n3oMwD9ka+oBwKj6vhaLunevPvusfv213nmnbt6srqsNi9kqwTM3Q/C//FLvv1/Hx3XrVt28WZaxp/zZY4729+uFF2pnp46OqqoWi6kH1ArBM0dbW+va//yzSvDnBM+8DG1vb9f167WzU4eHUw+oLYJnjra36+iojo7qp5+qzPDnbNoxR8tlvfdevfZavfnm1ENpi/vwEMQMz0wNj9ktFtbzF7mGZ6b6vh4/Xt+W45TgmZ1hbv/ii3r77frwQxv1Fwme2RmC//77+vzz+vLL9SRvr6qqBM8MDW0/80xtbtbRUZ2cTD2ghgiembpypU5O6t49wV8keGZn2Jbf3a2qunvXt+IvEjwztbtbGxv1+HGtVlMPpSGCZ6aWy9rfr40Nu/QXCZ7ZGZb0y2Vtb1fX1d27Uw+oIZ60Y3aG4K9dqxdfrDt3anPz/JfxPEvPTK1WdXBQfV/XrtWWiW1N8MydA+0uEDwEsdRhdoZzLFer+uqr+uabun27Xn996jG1wlKHmeq6+uST+uCD+vTTqYfSEMEzR11XOzt19WptbdXx8dSjaYjgmaNhZ2pvr1arundv4sG0RPDMzmKxfn5+eJx+OKmaqhI88zTM8MtlleD/g+CZr6tXa7EQ/EWCZ77296vv686dqcfREMEzR8OT8//6V+3u1mLhfKsznrRjjoZnb378sb79tm7cqDfe8HTtQPAQxJ895qvvLeafIHhm7eCgfv65Hj6cehytEDxzNJxU+9139eqrdetWff11VTnNsgTPPA279Feu1IMHdf9+/f771ANqheCZr2vX1s/eHBxMPZRWCJ45Gmb4vb3a2am+r/v3q7xtqkrwzNZwmt2VK1W1Dh7BM1tdV5ubgn+C4Jmjs2/IDqfTexfFKcEzU8MV+2pVx8f1ww/nv8nmEEtmanj/xLvv1ksv1SuvVJXH6cuz9BDF3zxmre+r67wi/owlPbM23JC3mD/lP4K58xrJCwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQTftL73BkTGJPimDe9Q6DrZMw4vk4Qg3i3Xoq6rjY367bf66KM6Pq7lst56q27fnnpY/P8TfLv++KM+/nj98/XrgmcEgm9X19XeXp2cVN/X889PPRpmQfDtWq3q8LC2tmq1qt3dqUfDLNilb9fxcdXpq82vXq0qe/VcluDbNQQ/3Jnb3592LMyE4Nt1eHj+8zDDwyUJvkXDrH4xeDM8oxB8u/76q+r0un1vb9qxMBOCb9fBQVVV39diUdvbU4+GWRB8i4Yl/dkMv7NTm5vTjoiZEHy7Hj6squq62t9f35yDS/I5atewpB+etxM8o/A5alTfr5f0VbW/b0nPOATfqCeCN8MzCp+jRnWdGZ7xCb5RXbe+hq9yDc9ofI4a1XXrXfoSPOPxOWrUf13SD/fn4X8m+Eb1/fmS3qYdY/E5as7w8PwTM7zgGYXPUaO6rg4P12v4vT2LecYh+EYNu/TDxO67sYxF8I0alvRD8MN3Y51vxeUJvlGr1fqLsWWGZzyCb9TZjl2dBm+G5/IE36ize3Jlhmc8gm/UxRl+uawywzMGwTfq7HyrqtrZmXYszIfgGzXM8F1XVQ60YzSCb9TZgXabm4JnNIJv1NkMv7tbW94AyEgE36izXfrlcj3De7qWyxN8o/4ePFye4Bt1dltO8IxI8I26OMO7hmcsgm+UGZ6nQfCNcg3P0yD4Rv19hrdLz+UJvlEXg3cNz1gE3yhLep4GwTfKLj1Pg+Abdbak392txcJ3YxmH4Jsz5P348fqfw4F2XWfTjhFYLLbo0aOqqs3N6nunXzAmwbdlOLjywYN68KBOTqqcfsGoBN+ik5N6+eW6f78ePqznnqsywzOSRe+j1J7hUPpHj+ru3Xr22bpx4/zIargMwUMQS/pG9f16Gb9YmNsZjRkegrgPD0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+DXm2yBQzawDKAAAAAElFTkSuQmCC", "image_next": "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", "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', [16.655892389975545, 11.890537218123725, -58.06427052466387])", "action": "('move', [16.655892389975545, 11.890537218123725, -58.06427052466387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [16.655892389975545, 11.890537218123725, -58.06427052466387])", "action": "('move', [16.655892389975545, 11.890537218123725, -58.06427052466387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGrElEQVR4nO3dz27TWBjG4c8JTZM0ULHlFthwE1wBN8qCNZeDBEJM0z8zom3sWdhtUs1sZxKd93lWVldHVX/9jh3b6YZhKCDD7NgLAP4/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocgr469APhPDMN00HVHXceJETxt0vm/EjwN+vatfvyoX7/q8rI+fKj5/NgLOhnd8Lz1gSbc39enT/XlS1XVx4/1+XOt1zUMZn6Vi3a0Zz6vy8vp+Pa2drujrubECJ7WzGb15s10fLPtd4/2sHuCpzVdNwXfdXW93ZnwhwRPg6bgZ3WztaV/QfA0aAx+1tX1XSf4Q4KnKeOHTuNFu9msdsP84cHV+T3B06Dni3ZV3e3dERdycgRPU8YJ/3zRrqqur4+5nlMjeBq0Xlc9xX91ddSlnBjB06Czs6qqvq8y4V8SPA1anA2Ls92ur6rabqs8S/NE8DRocTa8XtdwEDwjwdOgV4vZ5nL627alPyR4GrRY1Ob1tInfXh11KSdG8DRlPFc/O6vNZvrJ1oQ/IHgatFjU69fT8Xbrabk9wdOgFxP+j/6oazktgqdBh8FfC/6A4GnQYnEQ/I2P4PcET2vG19eN5/BdV9tbb2rdEzxN6brpFvqLi+knf/5Vj49HXNFpETytGYN/nvB9796bPcHTmvGZmYtN1VPw4921XshegqdV6/Ohqh+qhsGE33M9g9aMN9stl31VDX0Ng+dn9kx42rRaVlUNQw1P5/C29CV4WrVcz5bnXVX1JvwBwdOa8T6b1bpbX8zKOfxLgqc5XVXValWrVVXtP5azpS/B06rlcnqVZXkHxgHB05qnq/TThK+q7ZXhPhE8bVqvDye84CeCp03LZS2X0/H1zXT1DsHTmuctvXP4fxI8DRqGOj8/OIf3lqsngqdBfV9dt5/wv3935bsoqkrwtGd8Qq5qP+EfHmq3q9nMabzgadEY9mo19b3b1c2NCV8leBq2WfVVfVU9PNTtbZUL9YKnYZuLqe/Hh7q5Oe5aToXgadC4e7/YTJv4h8cpeBNe8DRr86abz7uqenw04SeCp0FPE362WAj+BcHTrM2mlsuaz6vv6+6uypZe8DSpe3ok/v6+dru6u6ufP6sEX9UNfgc0Z/zyme/f6+vXms/r7dt6/77evau+r1n2jBM8BMn+d0eAYbCT3/NeehrnjtpDJjwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+RsgGP5A636t7AAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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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": "23dad59ba03273e8b57f5f731d2060843dd48ff634cea6b03054f6062ecb9933"} +{"episode": 8234, "episode_seed": 3126720185, "split": "train", "timestamp": "2025-09-15T22:48:22.429280", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3126720185, "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', [1.5664742156149856, -5.378153893965538, 52.9188289573666])", "action": "('move', [1.5664742156149856, -5.378153893965538, 52.9188289573666])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALdklEQVR4nO3dXYgVdRzG8Wfm7Fpm6kVZm6ASlGQXRRa1Wpu4RlkhYpmgmGgUFpUZikWGmZKmkFpR0U0UUkSEmWK+ZFZuqBD0ciEmuJaFESwm6Oqme2ami5l8yZdcbT1n5vl+Lvd0MUf67u8//3nZIEkSAfAQVvoAAJw/BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeUBwrjit9EOdFkCRJpY8BwHnChIevdNjt3q3Bg/XBB8f9sKgIHr7StmfN0ubNmjBBY8bozz8VBEVunuBhKo4Vhlq5Uu+8o1JJUaStW3XggFToIV9T6QMAKiBJFMdqadGMGZIUhurWTa+8oj59sl8ERVXcbwacWpKopkbz52v7dpVKam/X2LFqbFS5rCCo9MF1JnbpYadcVk2N1q/XiBFqb1cc66qrtHGj6uoKPt7FhIebOFappD17NGeO/vpLkoJAs2errk5RVPDaRfAwFAR66y01Nam2VlGk0aM1blz2i6DwWNLDSJIoCPTddxoyRAcPSlKvXvr2W/Xpk31UeEx4GAkClcuaOlWtrQoCxbHmzTOqXQQPH+nd8q+9dnQxP3KkHnywyFfdT8SSHhbS7fetWzV0qPbsURzr8sv12WcaOFBRZHH2nmLCo/iSRFGkQ4f07LNqaVFNjUolTZumgQNVLhvVLoKHgzhWba3ee09r1yoMdfiwGhr06KMuO/PHYkmPgksX8z//rMZG7dqlMNSFF2r9etXXey3mU0x4FFk6zg4f1ty5+uWX7CGZKVNUX+843sWER7Gl19s+/VSjR2eL+euu06ZN6tq1+DfVnRTBo8jiWHv36uabtXOnamsVBFq3TkOGGF14/xfL33LwkJ69P/+8du5UTY3a2/Xkk2pocHl93Ukx4VFM6Ybc2rUaMUJxrCjSgAHasMHikbjTcP3eKLQ4VhCopUXPPaf2dkm66CKjR+JOw/iro6DSt9mEoZYs0Q8/qEsXRZHuu0+jRqm93bp2saRH8aSL+a++0siR2r9fkvr00caN6tfPejGf8v72KJwkURiqtVVz52rfPtXUKEk0e7b69XNfzKfs/wFQOEGgt9/Whg3ZzvyIEZo0SZLjbTYnYkmP4kivrm/bpltv1b59ShJdcom++UZXXy3J9ML7vzDhUTRPPaW9e7P3W8yapf79fW+zORHBoyCiSEGgN97Q55+rtlblsu65RxMnUvtxWNKjCNLt9+Zm3X67/vhDkrp31+rVGjQoeyk1Ukx45F76fou2Ns2cqd9/VxgqCDR1qgYNUhRR+3EIHrmXvt9i+XKtWJEt5m+4QVOmqFzmOty/saRHvqWL+V9/VWOjmptVKqlUyh6J4zabE/HvgSJYsEDNzdm7aJ94gtpPiQmPHEt34Neu1fDh2dtsBgzQ5s3q2ZPN+ZNjQwN5lT4k09qqqVMlKQzVpYsWLaL202HRg7xKEpVKmj1bP/2U3UU7YYIaG63fb/GfWNIjl9JH4r78Uvfeq8OHFce65hqtWaO+fR3fRXvmmPDIn3RDbv9+vfCC2tqyJ+RmzFDfvnZ/WKKjCB75k65KFy5UU5O6dlUca9QoTZxI7f+N4JEz6al7HKtHD112mdraVFenefMkqVRir+4/cA6P/DmyCd/UpPnzNXKkJk9mZ/6MEDzyKn0qZv9+desmidtszgjBI8fYkO8ogke+pf//spg/Q9xph3wj9Q7hvAcwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITggc4XRYqiSh+EJNVU+gCAootjlUqSlCQKgsoeCxMe6DRJIklhqOXLtWaNgkBxXNkjInigc6TzPIo0Z47Gj9fkydq2TWFY2eZZ0gOdIK19xw49/rjWrZOkK67Qvn2VPiwmPPC/i2MFgZYtU2NjVvv48Wpq0i23KI4VVjI6ggf+P3GsOM5O3Tdt0m+/qVcvvfmmli5VXV3Fa5cUJOnBATgXx+7ApxP+4EHNm6c77tDQodlPKr1FL4IHzlWSKEmy0b1ggfr21dixx/0H5bJKpWqoXQQPnJN0yz0MtXu3pk/Xhx+qe3f9+KOuvDJbwFfBMv5Y7NIDZyuKsjtqVq3StGnavl2SbrtN5bIkBcHRyV81mPDAWUlP2ltbtXChXn5Z7e3q2VPTp2vmzCpZvZ8UEx7ouHShvmWLXnxRa9ZI0o03asECDRuW7dJX2WA/okoPC6hS6RZdeur+7rtZ7Q8/rJUrNWyYokhBULW1iyU9cKaO3Y1Pz9537tS4cZo0SY88ojA8ekpfxQgeOANHYm5qUo8euv76o7fKpz+vst34U8nBIQIVll5IP3RIixbpzjs1bpyam6V/nns98khcHrBpB5xWHKumRjt26JlntGyZJJXLOnQou+omVfOe/Iny8WsJqJgw1Cef6O67s9rHjNHq1br22uyjvGHCA6d24IDmzNHrr6utTRdfrLlz9dhjuuCCanh3zdlh0w44XnrJLV3Jjx+v99+XpJtu0qJFamjIPsrhbE/l9biBThFFCkOFYTbAJ05U79566CGtW6eGhqN3zucWEx74Rzq6W1oURaqry9btW7aovv7opzmX+y8A/A+OXFr74gvddZeefjr7eRSpvr7K75btkCJ8B+DsJUl2P2wc66WXdP/9+v57rVqlr7/OLryln+Zzi+5E7NLDXqmkHTs0bZpWrJCk/v316qsaPDjbtyuWon0foAPSs/SPP9b06dq1S5IeeEBLlqh370ofWWdhSQ9X6XvmZs3SmDHatUuXXqrFi/XRR+rdu+J/LqLzMOHhrXt3JYnq67V4cbY/p3xfeDs9LsvB3tKlGj5cvXpV1dsmOwnBA5KUi6fZzx3BA1Xxd13Pj8KeqwAd4FG7CB6wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDI36keKgh7rBNPAAAAAElFTkSuQmCC", "image_next": "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", "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', [1.5664742156149856, -5.378153893965538, 52.9188289573666])", "action": "('move', [1.5664742156149856, -5.378153893965538, 52.9188289573666])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.5664742156149856, -5.378153893965538, 52.9188289573666])", "action": "('move', [1.5664742156149856, -5.378153893965538, 52.9188289573666])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIw0lEQVR4nO3cTYhd5R3H8f85987NTogiAcWNWFchFItSa1AkDVprCVTThQ0IVttaNUoT46JFaUuLLzGiaG1BW6EFKxaDjcWXUKgW2+yMFXHhy0KibkRaiKIz957TxY2TRSuN8WXuzO/z2c1s5pnF9z4v5zm36fu+gAztUg8A+PwIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHj4PfV99v9SDEDx8DrqumqaaZumbFzx8tsbjatt67716991qmiUejODhMzSZ1HBYBw7Uli111VU1HlfVUs7zwyX7y7Ci9X01TQ0G9eQT/bbt/YsvtlV12mm1detSzvNNv+S7ClhZpudzbVt9Xz/9Sbfz9vbgwX5urllYqNWr66WXas2aJRubGR4+TV1XVdW29cordfUPxk/uHVTVcNgsLNSpX+juvqc9/vilHJ49PHxqJpNq22rbevDBOufs7sm9g9GoqarxuN/y7f6ZvzUbNy7xuZ3g4dMxmdRgUO+8U9dcU5dcUm++1c7NNfPzdfxx3S/v6X/3+2bNmmb6fG4J2cPDJzVtqGnq2Wf77dubffuqbauquq7OObu/7bY6/Yxmcam/tJb678Ny1veHL9Xccftk06bat69Go+q66rrasaN2725OP6MZj6tplr72cmgHR21x0n7jjdq+rfvDQ01VMxrV/HyddFLt2lUXX1z14aP4GWFJD0djumOvqsf/3F97bf/yq+1wOL1X0194YX/nne3JJx+e/GfHDCwyYLkZj2swqIMH66ab+m9c2L38ajs3V+NxHXNM//OfdXv2HKq9bWer9jLDw8c1Lfn55/odN9RTe6sdNIO2Fhb6L51Wt9xaGzY0MzixLzLDw5GaTo5tWw88UBd8vZ7a24xGTTephYX+8su6xx6rDRsOnc/NZu1lhocjsXhb9t//qh031P3312RSc3O1sFDHru527mwuvbRpB4c39jNL8PB/LGb8j7/3V35/8vwLw6at6qvva/367t5727Vrq6r6rpqZXzHP/ABhSU3P5xbma9eufuPGev6F4WhUfVerVtX119feve3atR9evFkOMZnh4SNNX3F97bW6/oeTRx5tq2mGgxqP+1NP6W7dOdi06fBSf7lYPiOFz9Hibdndu+u887pHHm2Hw6b6Go9r8+Z6/Il206aaTKpm4LbsxzIzN4BgNkxvyw4G9cEH9eMfTe6+p33//XZ6f27V3OTmW9srr2xWrarxeIbuzx05S3o4bPG27PP/rGuv6Z9+ppqmGQxqPK4vruvuvqfOWt/Wh4/il6PlOWr4DCy+zX7fffXVDfX0M81o1PR9TcaT7323/8tf27PWtzPy0ttRW7YDh0/V9NnbW2/V5d/prrii3n67hsOan68TT6zf/qb51a+bY1cv44l9kSU96aZH8VW196l+xw21f38Nh81kUn1f559ft9xS69Ydmvxn9v7ckVvmn1fwCfR9TSbVNDXp6uZfTC66uN+/vxmtasbjGrR144318MO1bt2hL5ZfAbWXGZ5Yi6+4vPZqf911teexqmqGczVe6E85pbnrzv5rFzS1nM/n/ifBk2hxGb/7kX7rNf2BN9vhoMaTquq/dVF3x12DE044/Ch+JVlBn11wZKYlv/567dhR37yoP/BmOxrVeFLHHdfvur0e+uOh2mf5pbejtgyvDsAnM/3Oqccfr9tuq+Gg7Zuan++/8uVu567BmWdWN6maje+f+yys0H8LPlrbVtfV5s117rk1ntRkUluv7v+0pz3zzJqMq2lXbO1lD0+m6VP3556ryy6rbdtqy5bDv1zZBE+o6S59fr5Go8M/rniCJ9c08pDUpwQPQVbu6QTwXwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4DoY0B8IBVeqUAAAAASUVORK5CYII=", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIw0lEQVR4nO3cTYhd5R3H8f85987NTogiAcWNWFchFItSa1AkDVprCVTThQ0IVttaNUoT46JFaUuLLzGiaG1BW6EFKxaDjcWXUKgW2+yMFXHhy0KibkRaiKIz957TxY2TRSuN8WXuzO/z2c1s5pnF9z4v5zm36fu+gAztUg8A+PwIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHj4PfV99v9SDEDx8DrqumqaaZumbFzx8tsbjatt67716991qmiUejODhMzSZ1HBYBw7Uli111VU1HlfVUs7zwyX7y7Ci9X01TQ0G9eQT/bbt/YsvtlV12mm1detSzvNNv+S7ClhZpudzbVt9Xz/9Sbfz9vbgwX5urllYqNWr66WXas2aJRubGR4+TV1XVdW29cordfUPxk/uHVTVcNgsLNSpX+juvqc9/vilHJ49PHxqJpNq22rbevDBOufs7sm9g9GoqarxuN/y7f6ZvzUbNy7xuZ3g4dMxmdRgUO+8U9dcU5dcUm++1c7NNfPzdfxx3S/v6X/3+2bNmmb6fG4J2cPDJzVtqGnq2Wf77dubffuqbauquq7OObu/7bY6/Yxmcam/tJb678Ny1veHL9Xccftk06bat69Go+q66rrasaN2725OP6MZj6tplr72cmgHR21x0n7jjdq+rfvDQ01VMxrV/HyddFLt2lUXX1z14aP4GWFJD0djumOvqsf/3F97bf/yq+1wOL1X0194YX/nne3JJx+e/GfHDCwyYLkZj2swqIMH66ab+m9c2L38ajs3V+NxHXNM//OfdXv2HKq9bWer9jLDw8c1Lfn55/odN9RTe6sdNIO2Fhb6L51Wt9xaGzY0MzixLzLDw5GaTo5tWw88UBd8vZ7a24xGTTephYX+8su6xx6rDRsOnc/NZu1lhocjsXhb9t//qh031P3312RSc3O1sFDHru527mwuvbRpB4c39jNL8PB/LGb8j7/3V35/8vwLw6at6qvva/367t5727Vrq6r6rpqZXzHP/ABhSU3P5xbma9eufuPGev6F4WhUfVerVtX119feve3atR9evFkOMZnh4SNNX3F97bW6/oeTRx5tq2mGgxqP+1NP6W7dOdi06fBSf7lYPiOFz9Hibdndu+u887pHHm2Hw6b6Go9r8+Z6/Il206aaTKpm4LbsxzIzN4BgNkxvyw4G9cEH9eMfTe6+p33//XZ6f27V3OTmW9srr2xWrarxeIbuzx05S3o4bPG27PP/rGuv6Z9+ppqmGQxqPK4vruvuvqfOWt/Wh4/il6PlOWr4DCy+zX7fffXVDfX0M81o1PR9TcaT7323/8tf27PWtzPy0ttRW7YDh0/V9NnbW2/V5d/prrii3n67hsOan68TT6zf/qb51a+bY1cv44l9kSU96aZH8VW196l+xw21f38Nh81kUn1f559ft9xS69Ydmvxn9v7ckVvmn1fwCfR9TSbVNDXp6uZfTC66uN+/vxmtasbjGrR144318MO1bt2hL5ZfAbWXGZ5Yi6+4vPZqf911teexqmqGczVe6E85pbnrzv5rFzS1nM/n/ifBk2hxGb/7kX7rNf2BN9vhoMaTquq/dVF3x12DE044/Ch+JVlBn11wZKYlv/567dhR37yoP/BmOxrVeFLHHdfvur0e+uOh2mf5pbejtgyvDsAnM/3Oqccfr9tuq+Gg7Zuan++/8uVu567BmWdWN6maje+f+yys0H8LPlrbVtfV5s117rk1ntRkUluv7v+0pz3zzJqMq2lXbO1lD0+m6VP3556ryy6rbdtqy5bDv1zZBE+o6S59fr5Go8M/rniCJ9c08pDUpwQPQVbu6QTwXwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4DoY0B8IBVeqUAAAAASUVORK5CYII=", "image_next": "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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": "e2854150a4f16b990abd9cc14967be54b436a08369c49eda7883cd596bd58ba7"} +{"episode": 8235, "episode_seed": 1192048426, "split": "train", "timestamp": "2025-09-15T22:48:23.363880", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1192048426, "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', [-2.3759122733037494, 1.0217847134269136, -12.675757282131675])", "action": "('move', [-2.3759122733037494, 1.0217847134269136, -12.675757282131675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.3759122733037494, 1.0217847134269136, -12.675757282131675])", "action": "('move', [-2.3759122733037494, 1.0217847134269136, -12.675757282131675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.3759122733037494, 1.0217847134269136, -12.675757282131675])", "action": "('move', [-2.3759122733037494, 1.0217847134269136, -12.675757282131675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "640c2cdde869a92022b38cb904120d9872231958794a04ccea758f74fbbe97ed"} +{"episode": 8236, "episode_seed": 2644005508, "split": "train", "timestamp": "2025-09-15T22:48:23.969645", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2644005508, "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', [3.868372298671474, 23.98286308581658, -2.812758427866337])", "action": "('move', [3.868372298671474, 23.98286308581658, -2.812758427866337])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.868372298671474, 23.98286308581658, -2.812758427866337])", "action": "('move', [3.868372298671474, 23.98286308581658, -2.812758427866337])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.868372298671474, 23.98286308581658, -2.812758427866337])", "action": "('move', [3.868372298671474, 23.98286308581658, -2.812758427866337])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKfklEQVR4nO3dz28c5R3H8c/aa9KEQCkpTuCAiaMSkqZKWhUVhFRx4wJInDhxpn9C71X/gP4dlXqq1Et76YGAUFUR7KQhNBCC5dDwoyT8SLB3p4cZErU0iW2q7s5+X6/T7pweyfP2M/Ps/Bg0TROghrlJDwD4/xE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMHPrtEo4/GkB8F0GTRNM+kxAP8nZvgZ9dVX+fOfs76e0WjSQ2GKCH7mtIdsZ87k+efz0ktZXU3i2J6W4GfUyZP59NOcP5+77pr0UJgigp9RJ09mbi4nTuSxxzIeZzCY9ICYCoKfRU2TV17JeJxDh5Jkc1PwtAQ/W5omg0H+/vesrWU4zIkTSTLnr0zHrjBb2hW7kyfz5ZdZXMyPf5wInpvsCrOlXY1/9dUkWVzMo49mNHI8zw2Cny1t23/9a5IcO5bhsDvIhyTJcNID4H9qfj5Nk1/9Kn/8Y558MnE8z79xae3MGY9Fzq3YM2bO3FyaJpub8a+cbxD8rGjzHo1y/nyuXctw6NSdbxL8rGiDv3QpL7+c48fzu9/d3Ahfs2g3K9pT97feymuv5erV3H//pAfENDLDz4p2Mj93Llev5r77cvz4pAfENBL8rGh/kDt9OkmeeCK7dydxGs9/EPxMaI/nP/44KytJ8vjj2bVr0mNiGgl+hly6lDffTJLHH89g4KEXfJPgZ0J7Av/ee/n449x3X5aXJz0gppTgZ8L8fJKcOpXNzRw8mMXFSQ+IKeVnuRny85/n5Zdz4kS+973Eih3/hWvpZ5E75LgFh/SzZWPDDfDchkP6WfHZZxkMsnu3W+W4DTvHrPjFL7K0lN/8JomXT3Argp8J43FOnsxHH2V9vfsK/43gZ8L587lwIbt25ac/nfRQmGqC77l2Mn/llYxG2b8/x44lHmvFLdkzeu7Gc6mTPPRQDh/OaCR4bsWe0X9Nk9dfT5KjRzM/78VS3Ibg+6xpMj+ftbV8+GGGw/zsZ4njeW7HztFn7c9vf/pTLlzI5qbguSMX3vRZe8/Mk0/m17/O2lqOHk1cQs/tuJa+525cNn/9uodecEeCh0Kc7/XclSu5eDGbm5MeB/0g+N7a2EiS3/42zz6bX/6y+wq3ZdGun9of5JL85S85dSp79kx6QPSDGb6fmiZzc/nww5w9m/n5PPdcFhYmPSZ6QPD91C61rq3lzJmMRvnJT25uhFsTfJ+dPZv19dx9dw4dSgTPnTmH76f2BP6rr3LgQI4e9dRKtsjv8H322WdZWcnCQo4fz9D/bu5M8FCIaaHPmqZ7AEZ7hA93YoaHQqzSQyGCh0IED4UIHgqxSt9XTdO9RW5uzhU3bJVVeijEIX1fra/n97/PW2/l2rVJD4X+EHxf/eEPefHFvPBCnnkmFy8m7p1hC5zD99Ubb+SLL3L6dL77XW+LZasE30tNk5WVDAYZDPLUU9m3b9IDoicc0vfSxkZWV5NkPM6hQ7n77kkPiJ4QfC+treXy5czPZzDI4cOZm/NGObZE8D3TrsydOtXdKdc0WVpKvn5tNNye4HumDX51tQt+374cOJB42g1bI/ieaYN/443u6/Ky4NkGwfdMG/bp093Xhx/O/v03t8PtCb5P2qfRf/RRPvmk27K0lIUFb5piqwTfJ+3K3OpqPv+823LwYLfdDM9WCL5P2hP4v/2tC37v3i74OX9Gtsae0idt8KdPd2+OPHAgy8uJE3i2TPD98/bb3Yfvfz+PPNKd2MNW2FN6o2mysJDPP88//tFtOXAgu3dnY8MMz1YJvjfaFbu3387ly92WRx9NHM+zHYLvjfYE/t13uxn+rrvy2GOJFTu2w87SG+0M/847+eKLJNm7N0ePJmZ4tkPwvdHO5O+8033ds6eb4QXP1gm+H5omw2GuX8+FC92WBx7onnUjeLZO8P3QHs+vr+e997otx44lpne2SfB98sEHeffd7nMbPGyL4PuhXaJfX88nn3QPuvnRjxIzPNsk+H5oV+za6X0wyPx8Fzxsi+B7oL14djzO2bNJMhplcTEPPpiY4dkmwffGp592wTdNjh93vQ07Ya/pgfYE/urVnDnTbTl2zNzOTgi+N/75z3zwQRYWkq+X6L1biu0SfA+0k/m5czfvhPWbHDsj+B5ogz91Kkk2NnLvvVlcnOyI6CvB98NolJWVJBmPc+SId0uxQ4Lvh83NvPlm9/nIkezdO9HR0FuC74crV3L+fIbDJDlyJAsLaRoL9Wyb4KdduxR/5szNG+N+8IPEy+TYEcH3Q7tit7mZ73ynu8YOdkDw/dCewDdNlpfzwAOJi2rZEcFPu/94e+TBg36TY+cEP9Xalblr13LxYrfl4MHcc0/GY9fSsxP2mqnWBn/uXPfgyiRLS0kyGk1wUPSY4Kdaezy/upovv0yS4TCPPDLRAdFzgp9qN14md/16kjz4YDfDO55nZ+w4U+3G+6Fb+/d3r4u1RM/OCH56tY+mHo3y/vvdlv37s29fRiMzPDtkx5le7c2w77+fK1cyN5fBIEtLGQys2LFzgp9e7fH8ykrOnct4nKbJ4cOJ43m+heGkB8AttWHv2ZOnn86lS9nczA9/mCTz85MdFz02aDwnaYrduCXu8uWsrWV5OffeO+kx0WeCn3bjccbj7sZY+JYE3w/tOXy7dAc7JngoxCo9FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4K+RcUlkylbFRWaQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "966cdd4ffb0463acdbe33174fd039f4f54faafdaabc9e32930417e74c75ddb14"} +{"episode": 8237, "episode_seed": 3435820858, "split": "train", "timestamp": "2025-09-15T22:48:24.582172", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3435820858, "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', [-1.3154789735564154, -1.6847403297695378, 0.9561624532882339])", "action": "('move', [-1.3154789735564154, -1.6847403297695378, 0.9561624532882339])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.3154789735564154, -1.6847403297695378, 0.9561624532882339])", "action": "('move', [-1.3154789735564154, -1.6847403297695378, 0.9561624532882339])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.3154789735564154, -1.6847403297695378, 0.9561624532882339])", "action": "('move', [-1.3154789735564154, -1.6847403297695378, 0.9561624532882339])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "999b123686d1907d205854fdebff927110c53fadae5c9d21d7bab9469f04a50b"} +{"episode": 8238, "episode_seed": 3877204801, "split": "train", "timestamp": "2025-09-15T22:48:25.191909", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3877204801, "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', [7.946768300427153, 4.098726845308577, -9.24534569635559])", "action": "('move', [7.946768300427153, 4.098726845308577, -9.24534569635559])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [7.946768300427153, 4.098726845308577, -9.24534569635559])", "action": "('move', [7.946768300427153, 4.098726845308577, -9.24534569635559])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [7.946768300427153, 4.098726845308577, -9.24534569635559])", "action": "('move', [7.946768300427153, 4.098726845308577, -9.24534569635559])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "192c49703ff1d0b9e48f10d3bed0040c7959f56ca67e5ed38d05787e23019c3c"} +{"episode": 8239, "episode_seed": 4096449139, "split": "train", "timestamp": "2025-09-15T22:48:26.120551", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4096449139, "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', [2.0415825050291514, 1.7112704899244982, 37.027745737327564])", "action": "('move', [2.0415825050291514, 1.7112704899244982, 37.027745737327564])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.0415825050291514, 1.7112704899244982, 37.027745737327564])", "action": "('move', [2.0415825050291514, 1.7112704899244982, 37.027745737327564])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.0415825050291514, 1.7112704899244982, 37.027745737327564])", "action": "('move', [2.0415825050291514, 1.7112704899244982, 37.027745737327564])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "790217472d2798a2182a9f526350c19c51ec9c540f302684264416171aff0521"} +{"episode": 8240, "episode_seed": 2674190165, "split": "train", "timestamp": "2025-09-15T22:48:26.727610", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2674190165, "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', [0.38238816739373616, -5.3086318754544, 39.42035540052094])", "action": "('move', [0.38238816739373616, -5.3086318754544, 39.42035540052094])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.38238816739373616, -5.3086318754544, 39.42035540052094])", "action": "('move', [0.38238816739373616, -5.3086318754544, 39.42035540052094])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI+0lEQVR4nO3dS4iV9R/H8a9nnL+RFzDINLG8IolltAsiCMFFt3UpgTs3bYroQjdw0yLatWiTFLiI6EKQLYqWtiiIGiwhHDSh6xiYMl7GOef8F8/5O2Okf0tnzhk/rxcPMnAO8pvFe36/5/c85zzzut1uARla/R4AMHsED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0Hm93sAV1+3O/XzvHn9GwcMnjkcfBN2829r2kpF5HAxcyb483k3x9BQL+zpeU9M1MREHT1a33xTX39d27bVtm39GS0MpoEOvtPp5d3p1NDQVOSNM2fqzz/rxIn69dc6cKBGRmpkpA4cqBMnem+YnKxt26rbNedDz2AF37TdRF5Vw8MXvHryZP3yS+84dKgOHuwdZ85MvafVquHh6nZrcrL275/VwcPg63/w5/NuFupDQ1MvHT9eo6N1+HCNjtaRI73j8OE6e3bqPa1WLVhQnU6dO1dV1elUp1NVtXJlrVpV5ZQepul/8PPmTTV57Fh9/30dPFjffVejo/Xbb/X77zU2dsEcXlXz51e3W+12VVWn0+t/7dratKl3rFpVN95Yy5fP7m8CA29ed/pVrFn388/17bdTp99//FHj4zU+3puuL6ZZt69bV3feWbffXlu21Pr1tWRJLVpUCxfO1tBhDupn8BMTtXRpnT5dlx7CddfVwoW1aFGtXFl33NE7Nm+uRYsuWP+f1+wCNKuGlhuLYJr+L+lbrd7i/LwlS2rZslq2rG66qTZtqttu6y3UFyz4+//hL3faiBwups/BnzpVVXXDDXXrrbV6da1eXWvW1Lp1tXZtrV1b//nPBW9ut6euvU/firMtB5epn0v6drtef71uuaVuvrmWL68VK/5a+MREb8ZuChc2XKE+b9r9RbNX17TddA5cRX0Ovrlsfn4CVzjMqMGa4YEZZUcbgggegggegggegggegggegggegggegggegggegggeglwrwftEAFyGayV4n7ODy3CtBH/w4P/54ktgzgffRL5nT23ZUi+9pHm4tLkcfLtdw8P12Wf17LN17lzt21fj4/0eEwy0OfsFGM03Uf/wQz3wQB06VOvX1yef1IYNHiUHlzA3Z/im6h9/rB076tChWras3nijNmzofV0WcBFzNviqGhurkZEaHq5XXqmtW+vcObXDpc3BJf30Ae/fX199VU88Ue323z+GBphmrgXf6XiyDPxrcyee5tnxrVa9+249/3ydOjX1NHng8vT/2XL/QKtVX35Zjz9eY2O1ZEk980yVe+zgH5gjM3yz/X7kSG3fXmNjtX593X13v8cEc89cCL5ZyZ88WTt21OhoLV5cr71W99479XBJ4PIMfPDNJfdTp2rnzvriixoaqldfrYcfrslJ2/LwTw32OXyzLTcxUS+/XB98UFX13HO1a1d1OjV/sEcOA2mwL8tNTtb8+bVvXz34YFXVzp315pvV7Zrb4d8Z4OC73d4xNlYvvlg//VTvvFOLFztvh39tUIM/f4NN88PkZE1M1PXX+2wMXImBDL6J/PDhGh+vzZunIlc7XJnB26XvdKqqjh2rxx6r++6rjz6qefOq3VY7XLkB2+tubpWdmKinnqr9+6uqRkd7L6kdrtggzfDNyUVzpX3v3qqqp5+uJ5+0LQ9XyyCdwzen7m+9Vbt21cREPfpovf12DQ/3e1hw7RiY4JtT9M8/r4ceqtOn65576v33a9kyn4eFq2gwgm9qHxmprVvr2LFas6Y+/rg2bfK1FnB1DdKm3cmTtXhxnT5de/eqHWbCYMzw9b9J/sCBOnq07r9f7TATBib4mnZ3ndphZvR1P6z5W7N7d23fXsePV6tV7XZ1OmqHGdK/c/im9r17a/fuardr06Z64YVqtdxgAzOnr0v6c+dqxYr644+66656771avbq6XRfhYOb0Nfjm4XCrVtWnn9bGjS65w0zra2Bnz9bSpbVnT23cWJOTaoeZ1tcZ/uzZ+vDDeuQR2/IwOwbpshwww/q9ivbnBmZRv4N3EQ5mUb+DB2aR4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwHBmyANZdnZGgAAAABJRU5ErkJggg==", "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', [0.38238816739373616, -5.3086318754544, 39.42035540052094])", "action": "('move', [0.38238816739373616, -5.3086318754544, 39.42035540052094])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI+0lEQVR4nO3dS4iV9R/H8a9nnL+RFzDINLG8IolltAsiCMFFt3UpgTs3bYroQjdw0yLatWiTFLiI6EKQLYqWtiiIGiwhHDSh6xiYMl7GOef8F8/5O2Okf0tnzhk/rxcPMnAO8pvFe36/5/c85zzzut1uARla/R4AMHsED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0Hm93sAV1+3O/XzvHn9GwcMnjkcfBN2829r2kpF5HAxcyb483k3x9BQL+zpeU9M1MREHT1a33xTX39d27bVtm39GS0MpoEOvtPp5d3p1NDQVOSNM2fqzz/rxIn69dc6cKBGRmpkpA4cqBMnem+YnKxt26rbNedDz2AF37TdRF5Vw8MXvHryZP3yS+84dKgOHuwdZ85MvafVquHh6nZrcrL275/VwcPg63/w5/NuFupDQ1MvHT9eo6N1+HCNjtaRI73j8OE6e3bqPa1WLVhQnU6dO1dV1elUp1NVtXJlrVpV5ZQepul/8PPmTTV57Fh9/30dPFjffVejo/Xbb/X77zU2dsEcXlXz51e3W+12VVWn0+t/7dratKl3rFpVN95Yy5fP7m8CA29ed/pVrFn388/17bdTp99//FHj4zU+3puuL6ZZt69bV3feWbffXlu21Pr1tWRJLVpUCxfO1tBhDupn8BMTtXRpnT5dlx7CddfVwoW1aFGtXFl33NE7Nm+uRYsuWP+f1+wCNKuGlhuLYJr+L+lbrd7i/LwlS2rZslq2rG66qTZtqttu6y3UFyz4+//hL3faiBwups/BnzpVVXXDDXXrrbV6da1eXWvW1Lp1tXZtrV1b//nPBW9ut6euvU/firMtB5epn0v6drtef71uuaVuvrmWL68VK/5a+MREb8ZuChc2XKE+b9r9RbNX17TddA5cRX0Ovrlsfn4CVzjMqMGa4YEZZUcbgggegggegggegggegggegggegggegggegggegggeglwrwftEAFyGayV4n7ODy3CtBH/w4P/54ktgzgffRL5nT23ZUi+9pHm4tLkcfLtdw8P12Wf17LN17lzt21fj4/0eEwy0OfsFGM03Uf/wQz3wQB06VOvX1yef1IYNHiUHlzA3Z/im6h9/rB076tChWras3nijNmzofV0WcBFzNviqGhurkZEaHq5XXqmtW+vcObXDpc3BJf30Ae/fX199VU88Ue323z+GBphmrgXf6XiyDPxrcyee5tnxrVa9+249/3ydOjX1NHng8vT/2XL/QKtVX35Zjz9eY2O1ZEk980yVe+zgH5gjM3yz/X7kSG3fXmNjtX593X13v8cEc89cCL5ZyZ88WTt21OhoLV5cr71W99479XBJ4PIMfPDNJfdTp2rnzvriixoaqldfrYcfrslJ2/LwTw32OXyzLTcxUS+/XB98UFX13HO1a1d1OjV/sEcOA2mwL8tNTtb8+bVvXz34YFXVzp315pvV7Zrb4d8Z4OC73d4xNlYvvlg//VTvvFOLFztvh39tUIM/f4NN88PkZE1M1PXX+2wMXImBDL6J/PDhGh+vzZunIlc7XJnB26XvdKqqjh2rxx6r++6rjz6qefOq3VY7XLkB2+tubpWdmKinnqr9+6uqRkd7L6kdrtggzfDNyUVzpX3v3qqqp5+uJ5+0LQ9XyyCdwzen7m+9Vbt21cREPfpovf12DQ/3e1hw7RiY4JtT9M8/r4ceqtOn65576v33a9kyn4eFq2gwgm9qHxmprVvr2LFas6Y+/rg2bfK1FnB1DdKm3cmTtXhxnT5de/eqHWbCYMzw9b9J/sCBOnq07r9f7TATBib4mnZ3ndphZvR1P6z5W7N7d23fXsePV6tV7XZ1OmqHGdK/c/im9r17a/fuardr06Z64YVqtdxgAzOnr0v6c+dqxYr644+66656771avbq6XRfhYOb0Nfjm4XCrVtWnn9bGjS65w0zra2Bnz9bSpbVnT23cWJOTaoeZ1tcZ/uzZ+vDDeuQR2/IwOwbpshwww/q9ivbnBmZRv4N3EQ5mUb+DB2aR4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwHBmyANZdnZGgAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI+0lEQVR4nO3dS4iV9R/H8a9nnL+RFzDINLG8IolltAsiCMFFt3UpgTs3bYroQjdw0yLatWiTFLiI6EKQLYqWtiiIGiwhHDSh6xiYMl7GOef8F8/5O2Okf0tnzhk/rxcPMnAO8pvFe36/5/c85zzzut1uARla/R4AMHsED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0Hm93sAV1+3O/XzvHn9GwcMnjkcfBN2829r2kpF5HAxcyb483k3x9BQL+zpeU9M1MREHT1a33xTX39d27bVtm39GS0MpoEOvtPp5d3p1NDQVOSNM2fqzz/rxIn69dc6cKBGRmpkpA4cqBMnem+YnKxt26rbNedDz2AF37TdRF5Vw8MXvHryZP3yS+84dKgOHuwdZ85MvafVquHh6nZrcrL275/VwcPg63/w5/NuFupDQ1MvHT9eo6N1+HCNjtaRI73j8OE6e3bqPa1WLVhQnU6dO1dV1elUp1NVtXJlrVpV5ZQepul/8PPmTTV57Fh9/30dPFjffVejo/Xbb/X77zU2dsEcXlXz51e3W+12VVWn0+t/7dratKl3rFpVN95Yy5fP7m8CA29ed/pVrFn388/17bdTp99//FHj4zU+3puuL6ZZt69bV3feWbffXlu21Pr1tWRJLVpUCxfO1tBhDupn8BMTtXRpnT5dlx7CddfVwoW1aFGtXFl33NE7Nm+uRYsuWP+f1+wCNKuGlhuLYJr+L+lbrd7i/LwlS2rZslq2rG66qTZtqttu6y3UFyz4+//hL3faiBwups/BnzpVVXXDDXXrrbV6da1eXWvW1Lp1tXZtrV1b//nPBW9ut6euvU/firMtB5epn0v6drtef71uuaVuvrmWL68VK/5a+MREb8ZuChc2XKE+b9r9RbNX17TddA5cRX0Ovrlsfn4CVzjMqMGa4YEZZUcbgggegggegggegggegggegggegggegggegggegggeglwrwftEAFyGayV4n7ODy3CtBH/w4P/54ktgzgffRL5nT23ZUi+9pHm4tLkcfLtdw8P12Wf17LN17lzt21fj4/0eEwy0OfsFGM03Uf/wQz3wQB06VOvX1yef1IYNHiUHlzA3Z/im6h9/rB076tChWras3nijNmzofV0WcBFzNviqGhurkZEaHq5XXqmtW+vcObXDpc3BJf30Ae/fX199VU88Ue323z+GBphmrgXf6XiyDPxrcyee5tnxrVa9+249/3ydOjX1NHng8vT/2XL/QKtVX35Zjz9eY2O1ZEk980yVe+zgH5gjM3yz/X7kSG3fXmNjtX593X13v8cEc89cCL5ZyZ88WTt21OhoLV5cr71W99479XBJ4PIMfPDNJfdTp2rnzvriixoaqldfrYcfrslJ2/LwTw32OXyzLTcxUS+/XB98UFX13HO1a1d1OjV/sEcOA2mwL8tNTtb8+bVvXz34YFXVzp315pvV7Zrb4d8Z4OC73d4xNlYvvlg//VTvvFOLFztvh39tUIM/f4NN88PkZE1M1PXX+2wMXImBDL6J/PDhGh+vzZunIlc7XJnB26XvdKqqjh2rxx6r++6rjz6qefOq3VY7XLkB2+tubpWdmKinnqr9+6uqRkd7L6kdrtggzfDNyUVzpX3v3qqqp5+uJ5+0LQ9XyyCdwzen7m+9Vbt21cREPfpovf12DQ/3e1hw7RiY4JtT9M8/r4ceqtOn65576v33a9kyn4eFq2gwgm9qHxmprVvr2LFas6Y+/rg2bfK1FnB1DdKm3cmTtXhxnT5de/eqHWbCYMzw9b9J/sCBOnq07r9f7TATBib4mnZ3ndphZvR1P6z5W7N7d23fXsePV6tV7XZ1OmqHGdK/c/im9r17a/fuardr06Z64YVqtdxgAzOnr0v6c+dqxYr644+66656771avbq6XRfhYOb0Nfjm4XCrVtWnn9bGjS65w0zra2Bnz9bSpbVnT23cWJOTaoeZ1tcZ/uzZ+vDDeuQR2/IwOwbpshwww/q9ivbnBmZRv4N3EQ5mUb+DB2aR4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwHBmyANZdnZGgAAAABJRU5ErkJggg==", "image_next": "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", "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": "13ab6918fdb777154b5b7d61661f0ac70f5010d98a9389f5164753327cf5c5f2"} +{"episode": 8241, "episode_seed": 973673526, "split": "train", "timestamp": "2025-09-15T22:48:27.337646", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 973673526, "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', [-0.4526332814262813, 3.450371397029391, 50.369693704907455])", "action": "('move', [-0.4526332814262813, 3.450371397029391, 50.369693704907455])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKtElEQVR4nO3dz1NV5QPH8c8594IjiSQwkzpOgcrgqOMIiZIkGqMtmlr1D7jtb+hvaNGmXav+hDbN5GRGSlkiAuHQgA1ENEGZxTAQ3HNPi+fM1++C5IfF8fB5v1ZyVs/MnbfPc55z7nOjNE0FwEOc9wAAbB+CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4O0liarVvAeBbRKlaZr3GABsk3LeA0BOqlXFsebn9cEHOnBAb7+tpqa8x4T/HMG7CsEPD+u997SwoPZ2XbyoNFUU5T0y/Ie4h/d2964WFtTUpI4OSdS+4xG8pTRVqaSVFQ0NSdKVK3ruuZyHhG1B8JaqVUWRpqc1OChJfX0qlcT2rQGCNzY+rvv3JensWUkE74BNO0txLEnnz+vDDzUxoUOHJG7gLfAc3lXYpYcZPnJXofZqlZW8FYJ3NTmp0VHFsaKI5n0QvKv339ebb+rdd7Mde5r3QPCWVlf18ceamtLioqJIlQo7diYI3kyYyUdGNDWl3bv12mukboXHcmZC8NeuKU3V2qquLkls1/vgk/YTRfr0U0lqa9PBg6pUCN4Hn7ST8GW4uTmNjUnSK68oTdmus0LwTsKG/PXrmpvT3r3q61MUqVTKe1jYPgTvJBxlNTSkSkVNTerqUpqynrfCpp2TclmSrl5Vc7N27857NMgB79Kb4UwbbyznzITaKxVVKnkPBTkgeA9hHZckGhrS7KzKZfbqPBG8hxD8zz/rnXd09Kg++oiFvSeC9xD257//XkNDWlrSkSMSR9w4IngP4dnbyIiWl3XkSBY8/BC8gfCwfWlJAwOKIl26pMZGiTOtHBG8gbB0n5tTf7/SVK++qpoafk/OE8EbCDP55KRmZ9XQoOPHJW7gTRG8gXCgzSefqLZWZ87o8OHsIvwQvIck0f37WllRe7uam7Nv0cAPr9Z6SFPduaP+fvX0qKtL1Sov3ngieA+8Qg9JLOldhNqThM15cwRvYHFR16/rwQOtrvLtd3N8/DtamM9v31Zfn3p7s5OtmOSNEfyOFn5J6rPPFMeqqVFrKzfz5gh+5wptR5EGBlStqqND+/bxQM4cwe9c4dnbxIQmJyXp8mWmdxD8zhXW87duaWZGtbW6ciWb8GGM4He0KNK336pSUXu72tqyKzBG8DtUmqqmRo8eaXRU5bJefz3vAeGZQPA7VHj2NjWl8XFVKrp8WeIbcuDV2p0q7M8tL2t6Wnfu6I031NCQ95iQP4IHjLCk3+nCXj0giRkesMIMDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITg8SRpqmo170Hg3xOlaZr3GABsk3LeA8Cza3VV8/Oam9O9e3rrLTU25j0gPDWW9FhDkkjSN9+or08dHbp6VV9+KUksB4uO4LGGEHYUaX5epZJKJX3xhSTu5wuP4LGGOJakkyfV2akkUZLo1q28x4R/A8FjDXGsSkX19Tp6NLsyM6OfflKpxCRfbASPtYVV/enT2Wz/8KG+/vrxdRQUwWNtofPOTh04IEmLi1nwYT8PBUXwWFscq1rViRN64YXsysiIkkSlEpN8gRE81hZFShLV1am9PbsyNaWpKW7ji43g8Y/iWGmqnh6Vy5L04IFGRiRu44uM4PGPokhRpAsXVFenKNLychY8iovg8Y/CDH/qlJqbs1n9u++0uqpymUm+qAgeTxLCPncu+3NoSNPTj6+jcAgeTxJFknTxoiSVSpqY0I8/SgRfWASP9YXgw+t3o6PZv1FEfG54kjDDv/SSWlq0uipJAwNaXlYUMckXEsFjfbt2qbc3+/fNm/rjj1xHg6dA8FhfHGer+tpaTU1pdjbvAWGrCB7rCO/VdXZKUpoqirKvyobVPoqF4LGOEPb+/Wpv1+qq0lQ3buQ9JmwVwWNDGhvV0yNJUaT+fq2s5D0gbAnBYx1RpGpVtbU6c0aSSiX98ovGxiSexhcQwWN94Tb+2DHt2qUkYVVfYASP9YXXbFpbdexYNqt//rnEmZYFRPBYX1jVHzqk48ezKyMj+uuv7Ns1KBCCx/qiSJWKymWdPJldefhQQ0PZfwQoEILHhoRV/alTqq+XpD//1M2b/PJc8RA8NuR/Z1q++KIkJYlu3+bdm+IheGxI+KrcwYNZ8JImJrSwwGEYBUPw2Kg0VZqqoyP7c2ZG9+5xG18wBI+NimNFkc6f1549kjQ3p+FhiYdzhULw2KhwG9/drYYGSUpTjYxkX6dBURA8NiqcVN/UpMOHsytjY/r1V5XLTPKFQfDYhP8/4k7S8LB++EFiVV8cBI9NCMFfuCBJpZIePdLERL4jwuYQPDYhBN/drbq67O797l2lKT84VxgEj03bu1dnz6paVZpqYEC//86+XWEQPLbi0iVFkeJYg4Oan5f4bnxBEDw2J4Td26s0VU2NlpY0Pi5xxF1BEDy2oq1Nzz+fnVR/4wZP4wuD4LEVDQ06dy57Gtffr0ol7wFhYwgemxNm8vp6dXdLUrmswUH99lu+g8JGETw2LUkk6eWXH/8ZTqpn3+7ZR/DYopYW7d+fLeb7+/MeDTaG4LFp4Vs0LS06fVpxrDjWtWsSM3wREDw2LRxxV1+vEydUrapa1Z49WlzkTMsCiFI+ImxekqhU0ldfaXhYvb1qbta+fSqV8h4W1kPwgBGW9Hha4egrFEI57wGg8HjHrkCY4QEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjfwMFe38rPzbNrAAAAABJRU5ErkJggg==", "image_next": "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", "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', [-0.4526332814262813, 3.450371397029391, 50.369693704907455])", "action": "('move', [-0.4526332814262813, 3.450371397029391, 50.369693704907455])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.4526332814262813, 3.450371397029391, 50.369693704907455])", "action": "('move', [-0.4526332814262813, 3.450371397029391, 50.369693704907455])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKh0lEQVR4nO3d3YuUdR/H8ffM7koiZN1uT5KQmRrVgYoWqamJWyAdZFkRQWxnSkVP0En/QRAWUlCRB2kdRLiBRWUPBpErlbWl+RCaD4SVdmA+oO3OzHUfXEOuFXXfQY47n/frbJcd+MH49veb7zVzTaUoCiRlqLZ6AZLOHIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTg49XrNBqtXoTOkEpRFK1eg6QzpLPVC1CLNBpUqxw6xHPPcckl3H4748a1ek361xl8qjL4r7/mqac4epSpU5k/n6KgUmn1yvQv8jV8ti+/5OhRxo1j+nTA2tuewUcqCjo6GBxkYACgp4cxY1q8JJ0RBh+p0aBSYf9+vvgCYOFCOjpwfBvA4IPt3Mn27QDXXgsYfAKHdpGqVYDZs3npJXbt4tJLwRfwEbwOn6qc0iuMT3mqsvZGw5N8FINPtXs3W7dSrVKp2HwOg0/1zDPccgtPPNGc2Nt8BoOPNDTEunXs28fx41Qq1GpO7EIYfJhyJ9+yhX37GD2aG2809ShelgtTBv/++xQFEycyaxbguD6Hz3SeSoX33gOYPJnx46nVDD6Hz3SS8sNwBw+ybRvA9ddTFI7rohh8knIgv2EDBw9y7rksXEilQkdHq5elM8fgk5S3shoYoFZj3DhmzaIoPM9HcWiXpLMToLeX7m5Gj271atQCvpc+jPe0yeZxLkxZe61GrdbqpagFDD5DeY6r1xkY4MABOjud1WUy+Axl8D/8wPLlXHEFq1d7sM9k8BnK+fy33zIwwIkTTJoE3uImkcFnKK+9bdnCyZNMmtQMXnkMPkB5sf3ECfr7qVRYsID//Ae8p1Uigw9QHt0PHuTjjykK5s6lq8vvk8tk8AHKnXz3bg4cYOxYrroKfAEfyuADlDe0eecdRo1i5kwuv7z5S+Ux+Az1Otu3MzjI1Kl0dzc/RaM8vrU2Q1GweTMff8ycOcyaRaPhG28yGXwG30IvwCN9irL2et3hfDiDD3D8OBs28N13DA356fdwPv1trdzPP/2UhQuZN695Zys3+WAG39bKb5L68EOqVbq6mDjRF/PhDL59lW1XKvT302gwfTrnn+8FuXAG377Ka2+7drF7N8CiRW7vMvj2VZ7nN27k++8ZNYqenuaGr2AG39YqFT7/nFqNqVOZPLn5GwUz+DZVFHR1cfgwW7fS2clNN7V6QTorGHybKq+97dvHzp3UaixaBH5CTr61tl2V87mTJ9m/n82bWbyYsWNbvSa1nsFLQTzSt7tyVi8B7vBSFHd4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4/XNF4d10RhiD1z/RaDS/tKq8z/3QkOWPDAav/0+9Tr1OtUq1yi+/8Pbb3HADDzxApWLzI4D3tNP/ql6nKOjsBNi3j48+YuVKNm8G6O7mq68YP95vrzvbGbz+XnmAL1PfsoV163j1Vb75BqCri1qNouDhh1mxgqEhurpau1j9lc5WL0Bnr9/2gvIA/8knvPIK69c3v422TH1oiDFjuPdebruNoqCjo4Xr1d9zh9efGD6QA9av59ln6e/n0CGAzk5qNYBx47j/fpYu5ZprPMmPDAav09TrVCpUqwDHjrF+PU8+ycAAv/4KNCdz1SqXXcaDD3L33Vx00akHur2f/TzSq6lWo1JpRrt3L+vXs2IFO3YAp0o+5xymTeO+++jtPfVavTwOWPuI4A6v08bvn33GW2/x8svs2QPQ1cXQEMB559HTw9Kl3Hln81HlPxxP8iOLwUcbHu277/L667z5Jj/+CDBqFIODAN3d3HMPt97KggUA9Trgfj5SGXyiRqP5Kr3U18cLL7BpE4cPw7CZ3PjxPPwwixdz9dXNR/12cU4jlMEHKQoajVOb85Ej9PXx9NPs2MHJk6f+rFpl6lQeeYQlS+jubj6wnMl5gB/pDD5CWWx5OR3Ys4e+PlauZO9egGqVRgNg7FimTWPZMu6449T/C7+7RKcRzeDbXJn6b1P0jRt5801efJGff4ZhM7mLL2bBAnp7ufnm0x5r523G4NvZ8M153TrWrmXtWo4cgWEzuQkTuOsulixh9mw4/Tq82o/Bt6HhO3OjwZo1rF7Npk0cOwbDZnJTprB8OT09zZnc8OvwalcG3z7+OJNbtYpVq9i5s7mZlyoVZszg0UdZtIgLLwSvtCUx+HZQFNRqp9769t13rFnDc8/x008wbCZ33nnMnMljj9HT08y7vGWNB/gcBt8+6nX6++nr4/nnOX4chs3kJkxg/nyWLWPOnFN/70wukMG3g19+4YMP6OvjtdcYHKRapbOzeYy/8kqWLGHpUmbMAK+xxTP4ka3cpbdtY/p0BgebU7dyJjdrFr29LFrElCkAQ0N0dHh6T2fw7WBwkAUL6O9v/jh/Pg89xNy5XHABwNAQ1aozOYHBt4033qC3l3nzePxxrruuOcArZ3Xu6vqNwbeJkyfZsYNp05o/+tlV/SmDbyvO5PTX/Kxj+/jdh16lP3KHl4K4I0hBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCnIfwE7/ME3a8AORwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIH0lEQVR4nO3d3Y9V1R3H4d86Z4Z2gkaL9kVtTQCD9aUBtJaUVtAWlVBvvfe/FMVKKiWo5cWIkpS2QRLjVGMkTomkzpy9erHHNuk9HLO/z3M352olaz5nr7POPmu33nsBGWbLHgBw5wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegqwsewAsU++1tVWt1WxWM2/+AVrvfdlj4DthGDQ/fa7woXqv1uqzz+rkyXrggTp0qO65Z9lj4vbzlh5qa6uq6ty5evXVeuWVevnleuONqqphWO64uL0EH6q1qqoPPuit1cZGnT1bd9217DFx+wk+Ue+1slI3b9aFC62qZrN6dN/i8OHq3cf4iTO9icaN2o+v9b+8N/RefaijR9p/X2fCBJ9oDPvq1Vr/Z62uVq86fmJW367zmTDBxxnX7YtFnXu3tTYbhvr+jsVvDlcJPoDgE7VWGxv99B+H3muxqMOH2677lj0m7gjBh1pfbxcvtdXVqqqXTszs1YUwz3HGdfvZs9V7G/88eqRas2MXQfChXn+9qmpzs/burYcfrrJFn0Hwib7+uk6f3v7K/ejRuv/+qvINfASTnGW8jL/3Xn355Vj4cPjXfXW1FoslD4w7Q/BZxuBPvtZbq62t+sG99fjjyx4Td5DgE7315jCWf+DgbN+j21t3JBB8kPEX79c+ruufzKuqqh/Y33ftqsWW4FMIPsj409fTb/YbN3pV7dhRTx3oVTV0wacQfJBxGf/2n/rmZlXVT3/WfnloVlWz+VKHxR0k+BTDUCsrtbFRV/46q2pVtXf3sG9fLRY1918Qw1SnGM+0unChrl2rqmqt/+qZPps54iaL4FOMYZ8/37/4oqrq7rvb747Nq2puPZ9E8BF6r/m8Njfr0qXt3bldu+rQISfVxjHbEcawr1+v99/ffuXgwdq50/3zcQQf4dsjbvrVq8O4hj9+3Al2iUx4hPm8etXFi22xmFXVyrwfO+a790SCn75xf/5fX9WZt6uqFot64ueLPbur3FGbR/DTN67nP/+8v3NumM2qtXrxxEpJPZLgp2/7mROX28bNtrpavfcXXqhy4kUkwU/feHzVqVPVWvvmm7p/1/DYY1oPJfgI3/y7Tr226L16ryNH5/fdZ0EfSvATN67b//b3+sf1+cpqVfXnnq+1te2dPNIIfvp6/9+TYb+3o+/fP5SnxKYS/MSNV/KTJ6uqhkU98eRszx5Plcol+Ckba79xoy5f3n7lmWfqwQfdQp/LtE/ZMFRrdeZMffXV9isHD24/WI5Mgp+yccfu1BvDrVu9qh56qJ56qsoR9MHM/GSN6/nNzTp/oY1H3DzySD35pPV8NDM/WcNQ83l9dKU++WTcoOu/eGJYW6stZ9QGE/xkjR/Uz/15sb4+VNXaWvvts62s57OtLHsA3BbjETdVdeHSbLFoVfWjH9aR51o50yqbd/tpGoNfX6/Ll7eX73t2bz3wE+v5dIKfpvFGuisfDVeuDK1Va3XshXm53yaeJf00jWF/+GG7ebPm82qtXjruGXK4wk/RuJ6/daveebe11oahHvzx1v79VXbs4pn/CRrvt/n003rrrRp/Evv87+crFnMIfpLGdfvaWj37bO3eXTt31ok/WMpTVdW6g44mbRjq9Ol6+um6995lD4XvAMFPmbto+T/+HaZsrH0YnFfJNld4COIKD0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+A7RtjViGzvQmAAAAAElFTkSuQmCC", "image_next": "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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": "89d8b2fb07319badaf7027220950c9e62648574dd07ea148663aea6b4b37174c"} +{"episode": 8242, "episode_seed": 1117214184, "split": "train", "timestamp": "2025-09-15T22:48:28.275634", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1117214184, "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', [27.488251911751206, -0.3921711424350238, 49.18271863041755])", "action": "('move', [27.488251911751206, -0.3921711424350238, 49.18271863041755])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [27.488251911751206, -0.3921711424350238, 49.18271863041755])", "action": "('move', [27.488251911751206, -0.3921711424350238, 49.18271863041755])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [27.488251911751206, -0.3921711424350238, 49.18271863041755])", "action": "('move', [27.488251911751206, -0.3921711424350238, 49.18271863041755])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "db5fb7bf84e9644c0a8e437dac5a29f021dc629ef4a821737f39b2aa0f58fde8"} +{"episode": 8243, "episode_seed": 3462136991, "split": "train", "timestamp": "2025-09-15T22:48:28.894139", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3462136991, "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', [1.5085023305390965, -4.640601809156688, -2.387849833707577])", "action": "('move', [1.5085023305390965, -4.640601809156688, -2.387849833707577])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.5085023305390965, -4.640601809156688, -2.387849833707577])", "action": "('move', [1.5085023305390965, -4.640601809156688, -2.387849833707577])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.5085023305390965, -4.640601809156688, -2.387849833707577])", "action": "('move', [1.5085023305390965, -4.640601809156688, -2.387849833707577])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "d68baadf90689d80b227ad08f0f0905b7e9e4fc7392b7bb6e21dcad9983a3060"} +{"episode": 8244, "episode_seed": 2385930271, "split": "train", "timestamp": "2025-09-15T22:48:29.501200", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2385930271, "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', [15.0508265255234, -4.577471946801138, 56.107292314371854])", "action": "('move', [15.0508265255234, -4.577471946801138, 56.107292314371854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [15.0508265255234, -4.577471946801138, 56.107292314371854])", "action": "('move', [15.0508265255234, -4.577471946801138, 56.107292314371854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [15.0508265255234, -4.577471946801138, 56.107292314371854])", "action": "('move', [15.0508265255234, -4.577471946801138, 56.107292314371854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "60c2e480504df4487eb96f524bc2c3654390011bb8ca1a36db68f784ca71ca69"} +{"episode": 8245, "episode_seed": 1090751531, "split": "train", "timestamp": "2025-09-15T22:48:30.108646", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1090751531, "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', [-27.672950849650572, 43.258204915200764, 58.66290251061639])", "action": "('move', [-27.672950849650572, 43.258204915200764, 58.66290251061639])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-27.672950849650572, 43.258204915200764, 58.66290251061639])", "action": "('move', [-27.672950849650572, 43.258204915200764, 58.66290251061639])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-27.672950849650572, 43.258204915200764, 58.66290251061639])", "action": "('move', [-27.672950849650572, 43.258204915200764, 58.66290251061639])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "182aef3f4e9acade5d4a03a721805c42f464fe3d10b0ee64a6c4838a4d603a22"} +{"episode": 8246, "episode_seed": 1739403687, "split": "train", "timestamp": "2025-09-15T22:48:31.082807", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1739403687, "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', [0.8263091309887912, -4.579747422547968, -48.44015308421793])", "action": "('move', [0.8263091309887912, -4.579747422547968, -48.44015308421793])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.8263091309887912, -4.579747422547968, -48.44015308421793])", "action": "('move', [0.8263091309887912, -4.579747422547968, -48.44015308421793])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ5UlEQVR4nO3dTWgcdR/A8d9uktIm6Uuq9e1iBXlOBUUsgj0pQnuwKCJePAhVQaSgIiIiCl4sFupLES2KFhQURAXxolL0UqQXLx6kohehRWzTlzRNam125znMkKjQ58lsTXbH3+dzKJttD3PIt7//f2Z2tlUURQA5tPt9AMDyETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCP5SFUUURb8PAhZnuN8H0HitVr+PABZN8L37/PM4eTKuuiquuy6uvz7aVksMvFZhPdqToohbb41DhyIitm6Njz+O8fEoCgOfgWbC96jbjbNno92OVis2boyVK/t9QLAIgu9RUcSvv0ZRRLcbExMxPGy80wD2nT06dy6mp6t9+/r1EeFcPQ0g+NrKsCcno9utRvplly28D4NM8D06diy63er12rURgqcJBN+j48cjIjqdiIixsf4eCyyW4GsrJ/nx49HtRlHE6GgVvDN2DD7B96ic8BGxbl2Mj/f1UGDRBN+jY8eqF2vWVMGb8Aw+wfdofsKvXWsPT2MIvrZyDz8/4QVPgwi+R38O3pKephB8bWXYZ85UP65dG0NDC9fkYZAJvp6iiHY7Zmbi/PnqnTVrIiI6HROeBhB8LyYn48KF6rXb7GgQwdczfyP9fPATE308HKhH8PWUwZ88WQXfbse6ddULGHx+T+v524QfHa2W9NAIgu/FiRPxxx8REaOj1ZLeGTsaQfD1zE/48nNyJjzNIvheTE5WL0x4mkXw9cxP+NLoaHXSDhpB8PWUk3xqqvpxbCzGxxeedQUDTvA1FEUMDUVEnDtXvTM6Gq2W2+xoDMHXUN5XOz0ds7PVO26zo1kEX9upUzEzU72+/PIIZ+xoDsHXUE7y06cXJnz5gGpoCsHX8Lfgh4aq4E14mkLwtU1NVSftRkYs6WkYwddQTvj5PfyKFZb0NIzga5uaqp5vY8LTOIKvYX7Cl0ZGTHgaRvA1/O1pdiY8jSP4xZq/zW7+vtqRkRgbc18tTSL4GtrtmJtbCL782Izb7GgQwdczO7sQ/BVX9PVQoD7BL1Y5yaenF4LfsKGPhwO9EPxilcHPzCyctCuDt4GnQQRfz8yMJT0NJvh6Zmbi9OnqtQlP4wz3+wAao1zSnz0bs7NV5CY8jWPC11PeRT80FK2W4GkewddTbuBbrWi3naWneQS/WOWXSZ04ERHVh2fcV0vjCH6xyuDLM3adTqxeHatW9fWAoL5W4dbQOs6fjzNn4rffYnY2Nm823mkYwUMilvS9KAqfmaGRXIfvhZU8DWXC95WlAstL8P1TPjqj1aq+ax6WnuD7pNOpLvR98kncd18cPhzhYRosOXv4fuh0YmgoZmZi167Ysyd+/z02bIi33nJugKUm+GXX7cbQUPzwQzz5ZHzxRUTELbfEvfdGqxVFoXmWlCX9smu348MP4847q9p37IhPP42tW9XOMjDhl0vZ8+xsPPdcvPlmnDsX69fHiy/Ggw/G8HC1yIcl5k67pdftVqfo2u34/vu4446YnIzNm+ONN+Lmm6t/0LbUYjkIfon9Oeby9fvvx9dfx969sXq1ZTzLTPBLqVyonzoV77wTjz4ao6ML194j1M7ys4dfGuV/o0ND8d138fjjcfBgHD0ar7wS7XYURczNVQ/NgeVl67gE5sf4/v2xbVscPFht4OcND6udvrCkXxqnTsWzz8a+fVEUceWVsWdP3H9/v48JLOn/QeV/nZ1OtYw/dCgi4vbb4+WX44Yb+ntoUDLh/yHl597a7ThyJG67LX7+OYaH44kn4vnnY3zcZXYGhD38P6TctHc6MTER27fHxo3xwQexe3eMj1f30sIAMOEvzfxl9l9+iWuvra60nTkTJ0/Gxo1/uQgHA8CEvwRzc9Fux4ULsXdv3Hhj7N9ffQBmzRq1M5gE35OiiAsXYng4jhyJhx6Kxx6L06fj7bej06maL/fzamfACL6+sueRkThwIO66K957LyJi+/Z4990YGqpW9VJnILksV9N8zy+9FLt2xdRUrFwZzzwTTz0Vq1a5W5YBJ/hFm1+oHz8eO3fGRx9FRPznP/Haa7FtW0S49sbgE/zilDF3u9HtxsRETE1FqxV33x2vvx7XXFN915zaGXguyy3C3FwMD1d/ltfhfvopvvoqHnlkYdMOTSD4/6fs/PDh2L07du6Mm276y0fc1U6jCP7i5mP+7LN4+un48cfYtCm+/TbGxqq/tYanaezhL6KsfW4uXnghXn01zp6NsbF4+OFYscLjqGguwV9EqxXT03HPPXHgQETEpk2xb19s2dLvw4JLYlhd3MqVcfXVMTISDzwQ33wTW7b4Zhiazh7+Isol/dGj8eWXsWPHwjvQZIJfBI+R5t/C7/H/VD5wUu38W5jwkIjZBYkIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+JCB4SETwkInhIRPCQiOAhEcFDIoKHRAQPiQgeEhE8JCJ4SETwkIjgIRHBQyKCh0QED4kIHhIRPCQieEhE8JCI4CERwUMigodEBA+J/Bck301rnk8cRQAAAABJRU5ErkJggg==", "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', [0.8263091309887912, -4.579747422547968, -48.44015308421793])", "action": "('move', [0.8263091309887912, -4.579747422547968, -48.44015308421793])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "cecdceccfa5ef7e093927a26b4c1bdacb96dd64c52b7cc3d94f6317c28a78133"} +{"episode": 8247, "episode_seed": 2421569477, "split": "train", "timestamp": "2025-09-15T22:48:31.691703", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2421569477, "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', [-1.7009131537159172, -0.5192326698423608, -31.153446852877448])", "action": "('move', [-1.7009131537159172, -0.5192326698423608, -31.153446852877448])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.7009131537159172, -0.5192326698423608, -31.153446852877448])", "action": "('move', [-1.7009131537159172, -0.5192326698423608, -31.153446852877448])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.7009131537159172, -0.5192326698423608, -31.153446852877448])", "action": "('move', [-1.7009131537159172, -0.5192326698423608, -31.153446852877448])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "16f608af1e8eceddcc4ac75b320bdcb6e3663d6df132421018c6cee1c2045d21"} +{"episode": 8248, "episode_seed": 608836810, "split": "train", "timestamp": "2025-09-15T22:48:32.304117", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 608836810, "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', [-5.171090236401185, 2.050350379006415, -38.71187840269683])", "action": "('move', [-5.171090236401185, 2.050350379006415, -38.71187840269683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.171090236401185, 2.050350379006415, -38.71187840269683])", "action": "('move', [-5.171090236401185, 2.050350379006415, -38.71187840269683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.171090236401185, 2.050350379006415, -38.71187840269683])", "action": "('move', [-5.171090236401185, 2.050350379006415, -38.71187840269683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "6d8ab11694831b0391aa52e30916ebeca1cb90ab731c7b1950167488d063356a"} +{"episode": 8249, "episode_seed": 3723126581, "split": "train", "timestamp": "2025-09-15T22:48:33.237284", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3723126581, "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', [-4.4584951748684265, 0.7753835632943068, -12.045236658145408])", "action": "('move', [-4.4584951748684265, 0.7753835632943068, -12.045236658145408])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ20lEQVR4nO3dz49dZQHG8Wdm6BSLkBExWKoSi8YhqUBDWxejTSjSDQRcGmNKujBx51+giQsWJvAHuNCwZmEkLsBqSAfb2JZgIqURaTcarNZEUWtDmOmd6+LezLS1CNgft+3z+ex67pn2LPqd9z3vOfecqeFwGKDD9KQPALh6BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FJh38cJjBIMPhhA8DOkwNJxjbcJipqYn969BnoiP8YJBnnsmhQzl9+ryNBny4MiY6wi8tZf363HxzfvjD7NmTs2dz001JsrKS4TAzMxM7MLhBTXSEv+mm3H13lpZyxx1JMj2dpaX86leZnl6rfTg04MPlMtERPsmJEzl5Mjt25Oabk+TAgTz2WObn87Wv5ckns3HjJI8NbjiTDv4C3/1unnpqPKTfemsefTR792bbttx++9o+o0+t9sGHN+ngL6j3zJn87Gd57rm8+mr++Mfxxnvvzd69+da3Mjc33n/1JF/28GFMOvj3cuxYfvrTLC7mwIG88042b87iYj71qaysZGpq3Pko++lp2cMHdO0FP7osN1quP306v/51nn8+O3bkySfH1+1/9KP8/OfZsyePPTb+EZN8+GCuveBHBoMMBpmdTZLhMEtLmZ3N1FT++tcsLOTEiXz0o/nCF/LEE9mzJ3ffPenDhevDtRr8yMpKVlbGo/1oeD99Ok8/neeey/HjGQySZG4uO3fm29/OwkJuu22852CQqSlX8uEC13bwI/89Yx8M8sILefbZvPLK2tre976X73//vB88ezaJtT1YdT0Ef4Fz78B/88385Cd56aX85jd5/vksLCTJv/+dl1/Opk25//7x/oPBeJoA3a7D4EfOne2/+24OH862bVm/PjMzefHFPPFENm3KI49k9+48/njWrZv04cI14boNfmRlJYPBWs+ju/GffTZ79463fOQj2bIljz+e73wnt97q+3mUm/T34S/R9HTWrctwmLNnxxfzhsN8/et588384Ae5994sL+eVV8b350O963yE/99WVrJ/f55+Ot/4Rr75zQwG1u0pd4MGb+oOF3ODTnRXa/cILTjHDTrCAxdzg47wwMUIHooIHooIHooInmuXJ5hedr5SwjVkVPjoLgqPMroSjPBM3uhuieXl8SPLZmYyPZ3l5fztb3n11TzzTHbuzFNPJcny8qSP9TpnhGdiRt94XFnJ7GxmZsb3PZ86lbfeyuuvZ//+vPTS2uMObrtt/OuAS+HGG6620cNHVx9cmGRpKUeP5tix/Pa3OXIkhw+vjeSjp5wtLeXjH88vfpGtW30l4pIY4bkaVoeV0cn5yJ/+lIMHc+hQjh3LG2+sDeZTU5mdHc/wl5aSZNu27NqVj31s/Cn/NyM8V8TqAvsFk/DBIIcOZd++HDiQP/whf/lLzpwZfzQ1dd6a/J13ZteuPPxwtm7NXXflk5+8Wod+QzPCc9kMh2vvCjh3jf3Mmfz5z9m/P/v25eDBvP123nnnIj++bl02bMiWLdm9O7t3Z34+Gzac97Ai34G8dILnUq2uva1bt3Z2/c9/5uTJHD+excX88pd57bW1/S8Y8++6Kxs3Zvv27NqVhx4av1h01epVupjMXw6m9PyfRpEPh+cNwr//fd54I6+9lkOHcuBA/vWv8fbV5xKNzM1lfj7z83nwwSwsZOvWtb/h3P+PCr/sBM+Hc+7y28g//pHDh3PkSI4ezeuv53e/W9t5djZnz2ZlZfzH+fns2JEHH8yWLfniF/OJT4y3j353jM4CRH5FCZ738V4v8jp6NPv3Z3Exx4/nrbfy97+Pt4+iXY38lluyc2ceeig7duQzn8mnP712NW507e2CE36uKMHzQS0v5+23c/BgXnwxi4s5dSqnT49f/3OuqamsX5/PfW78lPD77svcXDZsWNthNLEfdc5VJnjex8mTOXEiL7+cffty5Ejefffiu91+e+64I/ffn0ceycMPZ/PmC3cYvf7LpH2yBM/Fja6xTU/n0UfzwgvjjaPXdq2uva1fn89/Pvfck+3b8+UvZ2Hhwhf8/PcJP5PlshwXNzoPn5nJxo2Znc1wmOXl8QR+06Zs354HHsh99+WBB/LZz45/ZLQOf+7am86vNYLnPY3Osb/61fz4x0mysJCvfCVf+lLuuSebN+eWW8a7jV4CMjon9wq/a5wpPe9pdMfLqVM5cCBbtuTOOzM3t/bp6tqb0/LriOD5cEazehfSrlOC5/1Ze7thOOXi/en8huHWBygieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyHyHdYs8qUwysAAAAAElFTkSuQmCC", "image_next": "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", "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', [-4.4584951748684265, 0.7753835632943068, -12.045236658145408])", "action": "('move', [-4.4584951748684265, 0.7753835632943068, -12.045236658145408])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.4584951748684265, 0.7753835632943068, -12.045236658145408])", "action": "('move', [-4.4584951748684265, 0.7753835632943068, -12.045236658145408])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHbElEQVR4nO3bz6tc5R3H8e9z5sb4IxcEwdbejUivq5pCMRasxoQ0LmojSIkIaX60XdV/p1AoxDYBSxGapMFWGqiBJGILtekmiWDpIgVdSJQkDbkxuTPHxRlvNBWkos5NPq/X8syZmWfz5pzne2Za3/cFZOhmvQDgqyN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CDLj4Pu++n62S4Agc7P9+taqqiaTqqrO3QZ8yWYZ2WRSb77ZX75cXVddV+NxLS+74MOXqPWzK+yDKzW/bvKDH7bt29uGDfXgg9Pj167VaOSCD1+8WQZ/9WrdfXctLVVVv7jYnnqqtmyprVtr7dqqqvG4WpM9fJFmHPzatdVajeZq+VpV1V131cMP95s29jt2dYvfvH7msMZhww98brMMvu/r+Z/3v/vt5MKlUVW1NoTdV9XCQvvOtyd7fta2bWtr1kzPH2Z7rSkfPqcZB19V587V4cP1wgt15kxdvNhXtWpD9TUa1cJ94527u+eeqwceaHfeOX3XeFyjkezh/zbL4G/wxt9r/77J8de606f78biq2txcLS8PL06efLJ27uq++0gtLk7Pv3atuq5Go1mtF24+qyL44ec3w3zu/Pk6dGDyl1fbseP19ts1ZF81Lf/+++vpp/vNm/ot3+/m56fHh6d6wGdaFcEPJpMaj2tlx/6PN/oTJ+rQoTp+oq/qWqs1a+rq1arq50b12OPticfGP9o+emj99HyDPfhMqyj4Qd/X8vL15/DnzvVnTtcfDrf9++v996s+SnoY7y0stPXfmvx4V3vmmXbHHdc/oe/N9uBTrLrgB30/ncmvbNHfe69eeaX27q2TJ+vSpU+cPDdXX793vP3Z7ic/bYuLdfvt0+Pu9uEGqzT4FR/f3g9Ona69v5q8erT+9e/2wZWqat2oJuPpq5s21Z499eijZnvwKVZ78CtWljncqC8t1cGD/Z/+2L/+ejv7n7phtve1e/vtz7atWybfe7y7557p8dZkT7qbJvgVw3P4uY/+5vfPk/2xY/2fj3RHjkyP3HbbMNurqsnGjd0TG/tt22rDI214r409yW6+4AdD9lXT8s+fr1On6uWX68UX6513+qo27AImk6rqv3Ffe2h97dhRO3fOcMkwezdr8CvG4+r76xf8d9+tE6/VL38x/uvf2tKVT8zrdu+uffu++gXCKnLTBz8Ypvof36K/9Vb95teTw4fr7Nnu8lJV1dGjtXmzu3qi3SLBr7ih5/GkDh7oD/y+Lv63vfRSzc8Lnmi3WvArhmt+16p1VVUXLtS6dab0pLtlgx/cMNuDcLd48IP//fUOZIoIHhi46kEQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQDwEYUH3lHIFA/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": "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", "image_prev": "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", "image_next": "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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": "e7ab473e04dbae1d677f5668f57a48911527417950711a9daf9cb25aa06db95c"} +{"episode": 8250, "episode_seed": 2481401712, "split": "train", "timestamp": "2025-09-15T22:48:33.843511", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2481401712, "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', [7.1269973827469855, 8.371240471809068, 21.51573891727554])", "action": "('move', [7.1269973827469855, 8.371240471809068, 21.51573891727554])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKp0lEQVR4nO3df2hV9R/H8dc55163Xd3UUgstUCIkV39EbIVzgbmIfkAiYfZXRf0j9gP7I6ig/Keo/vAPiwwqgqA/+kGEGfVH+UeDJRRkOVmEZKX9wtym5Zy795z7/eMctaIvbHrvPff6ej4YY0yZZ27P+z73cz47C6rVqgB4CPM+AACNQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB7nr2pV1WreB9FcCnkfAHBW0pLT1+GpuZUkSpLsnUGgKFIQ5HR8TSqo8hCI3P2/b8J/5Xq65Ol/2IkJlUpkfxrBo57+dVIdBLVp7/hxjY9rfFyjo0oSrVqlIFAY6rPP9MYbGh3V2JgmJjQ5qUWL9M47mjdP1SrZi1N61Nd0Cq9W9ddfqlSyN0ZHNT6uo0d16JCuvlorV0rS1JS2btXbb+vECR05onJZlYriWFNTWrBA33+vjg5J2rdPr732jw9eKunkyfp8bi2J4FEf6UQdHdWhQyqXdeKEjh7NSh4b0+SkNmxQd7ckHT2q66/XwYMaH//3B7n//iz4MNSePfrqqzN/FEVqa1NXl9rbpVPn+ZdfrjVr1NamRYs0d67mztWCBersbMCn2yoIHvVRqahY1HvvaeNGVSr/8Rcuu0zd3UoSlUrauzd7Z3u7SiWVSurqUhRp2bLs/YWC1q1TZ6eWLNHs2Zo7V52d6urKXtLmJQ0MaGDgv4+H83lJBI/6qlaz8ufP1+zZWaVz5mj+/DMxz5qlV19VEKizU6WS5szJXre16cILzzz3Xr9e69dP65/TqbzT11FUr8+uBbFoh/pIQz18WPv3q1BQW1v20t5+5u0ZpZg+aT+9KEDSZ4Xg0QTKZelvZ92nY67Vqj5OIXjUU7WqJJH++RT678MZjUXwgBH20gNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCD4fcawkyfsg4CeoVqt5HwOABmHCN1T66BrHevpp3XFH9h4ectEwhbwPwEgcK4o0OKiNG7VvnyS9/rruvVeVigp8HdAQTPjGSYd5EOjgQUkKAm3dqrExhSHP59EgBN84hYLiWKtW6e67FYYKAg0P66WXCB6Nw6JdQ1WrShL99puuvVa//KIw1MUX69NPtXx5dsIP1BUTvqGCQGGoJUv0yCPZ6f3PP2v7dsWxwpDVO9QdEz4HSaJyWT092rtXxaIkff65rrkmewgA6ocJn4MwVFubnnlGYShJ5bK2bGG8oxEIPgfpcv2NN+r221UuK4q0c6c++EBBQPaoL07p85EkCkMNDem223TsmJJEV16p3bvV0cFZPeqICZ+PIFAcq6dHd92Vrc8PD2v7dgWBKpW8Dw7nL4LPRzrGi0Vt2qRlyxTHkvTyyzpwQIUCl+VRLwSfmyhSuawVK3TPPZJUKGj/fr34opIk6x+oOZ7D5yn9vx8bU3+/RkYUBFq4UDt2qLeXfTioCyZ8ntJl+Qsu0GOPZRfhf/9dL7ygyUlW7FEXTPj8pfttV6/W4KCKRYWhdu7UwEC2kg/UEMHnL53tQ0Pq61OhoEpFK1dq1y7NmsUlOtQYEyR/6dn7ddfpvvtUqahY1NCQ3nyTs3rUHhO+KaRn7/v2qb8/24dz6aX65ht1dnJWj1riu6kppD8S392thx7KfnLup5+yzfZck0cNMeGbRdr5r7/qhhv03XeStHChdu3SihVKEi7RoTaY8M0iihTHWrxYDzyQ3Q/n8GE9/3y2bsfDMmqCCd9E0utz1ar6+vTFFwoCdXTo/fc1MMCNLlEbTPgmEgQKAhUKeuopRZGCQMePa+tWTU4qihjyqAGCby7pja5uuUW33prtrv3oI+3YwQV51Aan9E0nvT3GyIh6enTypCQtX67du9XVxT2wcK6Y8E0nvdFld7c2bcrW50dG9MoreR8WzgtM+GaUJAoC/fijVq/WDz8oDDVvnvbu1eLFDHmcEyZ8M0r32yxdqs2bFYaKIo2OassWSezDwTkh+CYVBEoS3XmnenuzG12+9ZaGhhRF3AMLZ4/gm1Q65C+6SA8+qFJJko4d03PP8aPyOCcE37zSYb5unVatUhyrWNQnn2jnzmxPHnAWCL55pftw2tv15JMqlRTHmpjQtm06fFhRxJN5nA2Cb2pp2H192rBBSaJiUYODevfdvA8LLYvLcs0uvQ536JCuukp//pmt3g8OavFiSVyiw8ww4ZtdmvQll+jxx7PNtgcOaNs2UsfZYMK3gPRL9McfWrNGw8PZ76L88ktdcQX7cDAzTPgWkF6TX7BAjz6aFT4xoSeekNiHgxki+NaQ3tlu7VrdfLMqFQWBPv5YH37IJTrMDMG3hvSXT86Zo4cfVkeHwlBTU3r2WR05InE/HEwbwbeM9JdM3nST1q5VHCuO9fXXGh5myGMGWLRrJemNLr/9Vr296u/X5s3q68s23gLTQfAtac8eLV2qefPyPg60GoJvPacvxVUq2a3vgGki+JaU3iGD1DFTBA8YYZUeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJH/AUS3kpvfeezlAAAAAElFTkSuQmCC", "image_next": "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", "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', [7.1269973827469855, 8.371240471809068, 21.51573891727554])", "action": "('move', [7.1269973827469855, 8.371240471809068, 21.51573891727554])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTklEQVR4nO3df2hV9R/H8de5P3bX3U9rLkIEK/QfIfHPflBEy/qrnyQbYWJbmElNkgoh+qf6x2JWsKDICE2MbFajYhQFhUEUlBRBhEQ5/yik7S5yv+6953z/OGdbipbfcF3veT0fjHG5ju2M7Xnf53PO2TGIokgAPGRqvQEA/jsEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgkV5RpCiq9UacX3K13gDgX4lLjt9n5uZWGCoMkyeDQNmsgqBG23eeCiJeAlFzZ/olPCXX+ZLP/tNOTqpYJPt5BI/FdMpOdRCcm/ZOnFCppFJJY2MKQ11zjYJAmYw++0x79mhsTOPjmpzU9LQ6O3XggNrbFUVkL3bpsbjOpvAo0p9/qlJJHoyNqVTSxISOHdPatbrqKkmandXAgN58U1NT+v13lcuqVFStanZWHR366SddcIEkff+9du8+6ZMXi5qZWZzvrS4RPBZHPFHHxnTsmMplTU1pYiIpeXxc09Pq7tbq1ZI0MaFrr9XoqEqlUz9JX18SfCajw4f1zTcL/5TNqlBQa6saG6W5/fyVK3XDDSoU1Nmptja1tamjQy0t/8G3Wy8IHoujUlE+r4MHtWWLKpXTfMDll2v1aoWhikV9913yZGOjikUVi2ptVTarSy9Nns/ldMcdamnRsmVqalJbm1pa1NqavMXNS+rqUlfX6beH/XlJBI/FFUVJ+UuWqKkpqbS5WUuWLMTc0KBXXlEQqKVFxaKam5P3hYIuumhh7b1+vdavP6svp7m84/fZ7GJ9d3WIg3ZYHHGox4/ryBHlcioUkrfGxoXH/1eK8aJ9/qAASf8rBI/zQLks/WWvez7mc3VUH3MIHospihSG0slL6L8OZ/y3CB4wwrX0gBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4OtYFNV6C1BvCL5eRZGCIHkAnCWCr1dBoNnZ5EEY1nprUCcIvl798Yd6e/Xss8mop3mcDYKvP1GkalWPP67XX9cjj+ihhzQ1pUyG5vHPgoglYF2J5/nHH6urS9msokhhqJtv1ssva/nyhYU9cFpM+DoT97x2rZ56StWqwlANDRoZ0Y036tAhBYGiiMN4OCMmfB174w098IDGx1UoaGZG7e0aGNCmTZJUrSqbrfX24fzDhK9L8Z58d7fef19r1mhmRoWCSiXde6927NDkpLJZVau13kqcf5jwdSwe46Oj6u/X228rl1MYKgx15516/nktW8acx6mY8HUsHuPLl2vfPj32mCoVhaHyeQ0N6dZb9cUXymY5dI+TMOHrXhgqk5Gk3bvV368TJ5Il/cUXa9cu9fQkx/A4eg8x4VMgk0nOzPf26r33tGpVsqT/7Tfdc09yMD8IVKnUekNxHmDCp0R8GC+b1S+/6L779NFHC0v6jRv1zDNaulSVinK5Wm8oaorgUyW+8GZ6Wtu368UXpbl1/tVXa3BQa9bQvDt26VMlvvCmsVGDg3ruORWLqlaVz+vzz3XLLRoeTsY+L/K2CD5t4uarVfX3a2hIK1aoXFZDg44e1d13a9cuZTL8sY0vdunTKW4+l9ORI9q0SYcOKZdLLsXp69PAgJqbOUvviODTLD5jNzmp++/X3r2Skj+qu+46vfqqLrtM1Woy8GGCXfo0i8/YFYvas0dPP62mpuTKnE8/VVeXPvkkuTKH3XsfTPj0i/9+LpPRwYPatk2jo2po0OysWlu1c6c2b174AKQewVuYX9J/+636+vTVV8mSPpPR1q3auVOFwsIVe0gxgjcSH6UbG9PmzXrrLWluSb9unV57TZdcwkW46cdLupF4xX7hhTpwQE88kUz1fF4ffqjrr9eXXyan9FjSpxgT3s78bbD279fDD+vXX5MlfXu7XnhBGzawpE8zfqp25sd4T4+GhnTFFZqdVT6vUkkbN2rHDpXL3BIztZjwvuLr6n/+Wdu26d13k5EehrrtNr30kjo7uSVmCjHhfeVyqlS0YoX27dOjjyYn5PN5vfOO1q3T4cPcEjOFmPDuznT/jKVLNTiou+5iSZ8q/BjdxVfjRZF6ezU8rJUrk/tnHD+u7m49+WSypOeWmOnAhEciPkv/44/q79fIiPJ5VSqKIm3YoIEBdXTUevtwLjDhkYhvlbFqlfbv14MPqlxWFCmX0969uv12ff21xP9UW/+Y8DhJPOfDUIOD2r5d5XKypL/pJo2McPlt3SN4nCoMFQQKAn3wgbZs0dGj6ujQ8LCuvJITdXWP4HEa80fmf/hBfX3aulU9PbXeJpwLBI8ziuc5971ME4LH35n/7WBPPh04AoO/E3dO7alB8PgH1J4mBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+R/+X7MDY7dIogAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [7.1269973827469855, 8.371240471809068, 21.51573891727554])", "action": "('move', [7.1269973827469855, 8.371240471809068, 21.51573891727554])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGA0lEQVR4nO3awW7c1AKA4ePJQJJWmQSJPXuWiJfiXXg3XoEdm9KZZqBSgbFZZG6SllQiuk1b9H+fjix74nicyH+Orcm0LMsAGlaf+gSAj0fwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyPpTnwD8X5bl/ctlLGOMMVarsXaljzEEz+fsfsDjoaqnaaxWY7Ua0/RJTvC/Z1puf53wlB51oT0q4N9/H9fXx/Hq1bi+Hvv9eLWbr7eH/W+rF9uT778fP/ww5nms8o+wZng+ksdOwm/ejO127HZjtzuuHDe38/bFvNsu21er/euTP/8cb96MP/7455jGOLk51M8/C/5I8DyheR6Hw3HMh+VwGId5ev36WO+74+Wy/XV++WLebqftbyd//TUdv3E+HudmZVlWY/ybPx7T7W77/ZP+lP8lgucDW5YxTeOXX8aPP479/n+T88t59+u82y7b65P5vZ8N3czJJ3fb0/GAD+35sPV6fPnl3Tg7G+v1+Oabu6PFeYbnA7u5c/7pp/Hdd+9+aXUyVquxmu72PBz+7bP9s2fvjvPzu5XLy7G5HJuLZbMZm8202YzLy7HZjM1mXFyMzcbN/JEZnidxfj6ursZu99aL82HMh7de+eKLmyaXi4vp4uIY5/3l8+e3Y3n+fLq3OZ49G6en77ztw5O4Se2W4PnAbu6cz8/Ht9+O/X58/fXYbMbV1fjqq3F5Oa6ujuPiYpydjbOzcXo6Tk+n09Nxfzw0IT8Q881T/Ty/9da3y/ub3HBLz5OY53F9PcYY6/VYr8fJyVivH9HesjxQ8vhH0kPPjyR4Pqrbf5u5ve7uF/u+dT4UwfNU7l9Z6v1MeIbnqYj8M+TDCggRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIT8DXrkA8ROzOWIAAAAAElFTkSuQmCC", "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": "890fd2e2de595c284f35701024b3736530d42510a6ee4a361249abcd59166cf7"} +{"episode": 8251, "episode_seed": 1054055848, "split": "train", "timestamp": "2025-09-15T22:48:34.453124", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1054055848, "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', [-1.072618955583265, 1.753495691666065, 28.386895819117285])", "action": "('move', [-1.072618955583265, 1.753495691666065, 28.386895819117285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.072618955583265, 1.753495691666065, 28.386895819117285])", "action": "('move', [-1.072618955583265, 1.753495691666065, 28.386895819117285])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK00lEQVR4nO3dT6wVZ/3H8c8553JpixJoE6UFi9UuoKVKSxSE26YLN9qmSU2qCxcaVy5cuXbhwo2JiTEmJq500U1jjJr4J43GP7Et0EppwUJoUBEoalRMuCnCvZxzfouZQpNfY4zlzFzu9/Va3TOZxbO47/PMMzNnZjCdTgPUMOx7AEB3BA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwq9F0mum070GwEs31PQBmYDC49ndT/pu3UJgZfnVp8v7DH/LSS+2WwSCDgQmfhuBXl/E4Sb7ylezenb178+1v59SpLC29xZxPSYJfRabTjEaZTvO3v2VpKfv35/Ofz3335XOfy/7913YbDLK83H41UMxg6vt+NZlOMxjk3Ln87Gf55S/zzDM5fTpJvvnNfOELSTKZZGkpN92UvHE4MBxa4dch+FXtxRdz4ECeey7f+EZuuy1JXn01X/pSbr89TzyRhYV2Nyf2yhD8ajSZZDzOcJjRKEkuXcr8fCaTzM3l61/PF7+YJLfdlu3b8+ij+fSns2VLv+OlM4JfvabTTCZJ2uwnkwyHeemlfOtb+elP89pr7W4bNuShh/LZz+ZjH2sP9ZudJ5OMRqb9VUbwBTQL+zd7/fV8//v53vfy8ss5cyZJ5udz+HDuuSeTSXslr7G8nNEoQyd3VwnB1/Pm/k+cyA9+kF/9Khs25KmnMh5nNMovfpGDB7NvX/buzfx8kly5ksHA6b1VQPBVjceZTjM3lySXL+f8+bz73e06/+GH85vfZOPGLCxkYSEf/3h27Oh7uFwfgq+tOb23Zk37sbkJ/8tfzne+k7Nn24133pmdO/OJT+Sxx7JxY3uA0Oz55oN/bgSC543Ory7UJ5P84x959tl897v59a9z4UK7/ZOfzFNPtScCr+7sYv4NxckY0q7PrxoO86535fHH86Mf5dixfO1r2bMnt96a++5L3jjb//TTefHFLC5mNGqvAiwvt98FrGBmeN7K/z+x//zz2bw5mzcnyd//ns2bs7ycxx7LI4/kwx/Ozp3tbs3XASuV4PmPrv60vsm4+SI4ejRPPJETJ9p93vOePPxwHnoojz6aTZt6Gyr/BcHz32lu3Wum/aWlnD6dQ4fyk5/khz/M4mK7z7335qtfzSOPtJf3WHkEz9tw+XLOncvPf54nn8z+/RmN8uMf56MfFfyKJXj+J5NJ+2vcqx8PHcqJE3n88axb9xanAFgZBM/b4Gd2NxrPtONt8PC8G43guU6kfiNwyRQKETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCZ+Y8Y2XlEDwz55fyK4fgma3xOGfOZGmp73GQRPDMQvMGmmPH8pnPZNu2bNuWw4cTx/YrgOC5/prgz57Nk0/m5MlcvJhnn00EvwIInuuvWbRv357772//fuaZJN491z/Bc/0Nh5lMcscdef/721n92LFcvpzRyCTfM8Fz/Q0GuXIlo1G2b2+3nD+f3/8+g4FJvmeCZyaad09+8IN5xzuS5F//ysGD195MSV8Ez0w0wT/wQG6/PUmuXMmhQ2b4/gmemRgOMx5n69Y2+CQnT+bf/86aNSb5PgmeWWneN/mBD7Qf//znnDhhku+Z4JmV5nXye/dm7dokOXs2x48nLs71SvDMSrOM/8hHsm5dkozHeeWVxK31vRI8szIYZDrNe9+bTZvaLa+8kosXMzdnGd8bwTNDTdh797YfjxzJ2bPXttM9wTNDzdH7vn1JMhrl1KmcPp0Ivj+CZ4aa4BcWkjfut7WM75fgmbktW/K+92V5OUleeCGXLmU4NMn3Q/DM3Px8e1Sf5LnncuFCr6OpTfDM3HCYBx/MYJD5+fzpT/nrX/seUGGCZ7aa22weeKD95cxgkN/9LrGM74ngma0m7E2bsnVrlpcznbZPv6EXgqcLt96aPXvav3/724zHvY6mMMEzW839djffnF27kmQ0yh//mDNn+h5WVYJn5pr5/N57MxolyWTSPuLOlbnuCZ6Za35Fs3Vr7rwz43G7jJ9O/WyuB4Jn5przdnfdlXvuabccOOAsfT8Ez8w1z7S85ZZs29Zu+ctfcvp0RiOTfNcETxea5fqOHe3h/eJiDh68tp3OCJ4uNJ3v2JHNm5Pk4sUcOJDE9bmuCZ4uND+V2749d9zRbjl6NNNpe96ezgieLgwGGY+zbl3uvrvd8tprOXPGMr5rgqcjzR04H/pQ5uaS5MyZHDmSeKZltwRPR5qH2O7Zk3e+M0kWF3P0aCL4bgmejjQz/M6d2bix3XL8eCYTz7TslODpSPMKirVrr91+c/x4zp3z9JtOCZ7uNBfnHnyw/Xj8eE6dShzVd0jwdG3fvgwGGY3y+us5eTLxMIwOCZ7uNGHff3/Wr89kksEghw+3V+Md1XdD8HTtlluye3f7xKvnn8/5830PqBLB04PmqH44zJEj+ec/EzfVd0XwdKoJe2Eh02nWrMnFi3n11cQyviuCpwd3353167O8nMGgfaal4LsheHqwYUN27cpk0j79pnkpDR0QPJ1qZvL167N7d3tx7oUXsrjY97DKEDxda26z2bWrXcaPx3n55cR5u04Inq41Yd91V26+OZcuZXk5Tz/d95jKmOt7AJTT3GC7ZUs+9alcupSFhfZVk87bdWAwdSBFH6bTXLiQtWtz0019D6USwdOz8bi9CYcOCJ7eNP96juS7ZA1Pb6TePQdSUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngo5P8AaQeVq1ihGL4AAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK00lEQVR4nO3dT6wVZ/3H8c8553JpixJoE6UFi9UuoKVKSxSE26YLN9qmSU2qCxcaVy5cuXbhwo2JiTEmJq500U1jjJr4J43GP7Et0EppwUJoUBEoalRMuCnCvZxzfouZQpNfY4zlzFzu9/Va3TOZxbO47/PMMzNnZjCdTgPUMOx7AEB3BA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwq9F0mum070GwEs31PQBmYDC49ndT/pu3UJgZfnVp8v7DH/LSS+2WwSCDgQmfhuBXl/E4Sb7ylezenb178+1v59SpLC29xZxPSYJfRabTjEaZTvO3v2VpKfv35/Ofz3335XOfy/7913YbDLK83H41UMxg6vt+NZlOMxjk3Ln87Gf55S/zzDM5fTpJvvnNfOELSTKZZGkpN92UvHE4MBxa4dch+FXtxRdz4ECeey7f+EZuuy1JXn01X/pSbr89TzyRhYV2Nyf2yhD8ajSZZDzOcJjRKEkuXcr8fCaTzM3l61/PF7+YJLfdlu3b8+ij+fSns2VLv+OlM4JfvabTTCZJ2uwnkwyHeemlfOtb+elP89pr7W4bNuShh/LZz+ZjH2sP9ZudJ5OMRqb9VUbwBTQL+zd7/fV8//v53vfy8ss5cyZJ5udz+HDuuSeTSXslr7G8nNEoQyd3VwnB1/Pm/k+cyA9+kF/9Khs25KmnMh5nNMovfpGDB7NvX/buzfx8kly5ksHA6b1VQPBVjceZTjM3lySXL+f8+bz73e06/+GH85vfZOPGLCxkYSEf/3h27Oh7uFwfgq+tOb23Zk37sbkJ/8tfzne+k7Nn24133pmdO/OJT+Sxx7JxY3uA0Oz55oN/bgSC543Ory7UJ5P84x959tl897v59a9z4UK7/ZOfzFNPtScCr+7sYv4NxckY0q7PrxoO86535fHH86Mf5dixfO1r2bMnt96a++5L3jjb//TTefHFLC5mNGqvAiwvt98FrGBmeN7K/z+x//zz2bw5mzcnyd//ns2bs7ycxx7LI4/kwx/Ozp3tbs3XASuV4PmPrv60vsm4+SI4ejRPPJETJ9p93vOePPxwHnoojz6aTZt6Gyr/BcHz32lu3Wum/aWlnD6dQ4fyk5/khz/M4mK7z7335qtfzSOPtJf3WHkEz9tw+XLOncvPf54nn8z+/RmN8uMf56MfFfyKJXj+J5NJ+2vcqx8PHcqJE3n88axb9xanAFgZBM/b4Gd2NxrPtONt8PC8G43guU6kfiNwyRQKETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCZ+Y8Y2XlEDwz55fyK4fgma3xOGfOZGmp73GQRPDMQvMGmmPH8pnPZNu2bNuWw4cTx/YrgOC5/prgz57Nk0/m5MlcvJhnn00EvwIInuuvWbRv357772//fuaZJN491z/Bc/0Nh5lMcscdef/721n92LFcvpzRyCTfM8Fz/Q0GuXIlo1G2b2+3nD+f3/8+g4FJvmeCZyaad09+8IN5xzuS5F//ysGD195MSV8Ez0w0wT/wQG6/PUmuXMmhQ2b4/gmemRgOMx5n69Y2+CQnT+bf/86aNSb5PgmeWWneN/mBD7Qf//znnDhhku+Z4JmV5nXye/dm7dokOXs2x48nLs71SvDMSrOM/8hHsm5dkozHeeWVxK31vRI8szIYZDrNe9+bTZvaLa+8kosXMzdnGd8bwTNDTdh797YfjxzJ2bPXttM9wTNDzdH7vn1JMhrl1KmcPp0Ivj+CZ4aa4BcWkjfut7WM75fgmbktW/K+92V5OUleeCGXLmU4NMn3Q/DM3Px8e1Sf5LnncuFCr6OpTfDM3HCYBx/MYJD5+fzpT/nrX/seUGGCZ7aa22weeKD95cxgkN/9LrGM74ngma0m7E2bsnVrlpcznbZPv6EXgqcLt96aPXvav3/724zHvY6mMMEzW839djffnF27kmQ0yh//mDNn+h5WVYJn5pr5/N57MxolyWTSPuLOlbnuCZ6Za35Fs3Vr7rwz43G7jJ9O/WyuB4Jn5przdnfdlXvuabccOOAsfT8Ez8w1z7S85ZZs29Zu+ctfcvp0RiOTfNcETxea5fqOHe3h/eJiDh68tp3OCJ4uNJ3v2JHNm5Pk4sUcOJDE9bmuCZ4uND+V2749d9zRbjl6NNNpe96ezgieLgwGGY+zbl3uvrvd8tprOXPGMr5rgqcjzR04H/pQ5uaS5MyZHDmSeKZltwRPR5qH2O7Zk3e+M0kWF3P0aCL4bgmejjQz/M6d2bix3XL8eCYTz7TslODpSPMKirVrr91+c/x4zp3z9JtOCZ7uNBfnHnyw/Xj8eE6dShzVd0jwdG3fvgwGGY3y+us5eTLxMIwOCZ7uNGHff3/Wr89kksEghw+3V+Md1XdD8HTtlluye3f7xKvnn8/5830PqBLB04PmqH44zJEj+ec/EzfVd0XwdKoJe2Eh02nWrMnFi3n11cQyviuCpwd3353167O8nMGgfaal4LsheHqwYUN27cpk0j79pnkpDR0QPJ1qZvL167N7d3tx7oUXsrjY97DKEDxda26z2bWrXcaPx3n55cR5u04Inq41Yd91V26+OZcuZXk5Tz/d95jKmOt7AJTT3GC7ZUs+9alcupSFhfZVk87bdWAwdSBFH6bTXLiQtWtz0019D6USwdOz8bi9CYcOCJ7eNP96juS7ZA1Pb6TePQdSUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngo5P8AaQeVq1ihGL4AAAAASUVORK5CYII=", "image_next": "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", "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', [-1.072618955583265, 1.753495691666065, 28.386895819117285])", "action": "('move', [-1.072618955583265, 1.753495691666065, 28.386895819117285])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJElEQVR4nO3da4hUZQDG8WcuO14CUZdMcc2Mii7rJawMUxEptBTBSMUSEi1XUCLMJCIpIgJRkMgEJUtzQ1YzMze7bKhFZgaakgQGUVgJpUi4VDu3M304r6uVldXqzOzz/33anT0fBmb/c8553/eckyiVSgLgIVnuNwDg4iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgu+MSiWVSuV+E6hE6XK/AVwAicSZn+Pyz34FxtjDdy5x3l99pYMHwyuJhBIJdviIEXznUixK0jPPaMQIjRyp1av1zTfK5c6xz4clgu9ESiWlUiqV9MMPyuW0d6/mzdPgwZo9W3v3ntkskVA+H74aYCZR4vu+MymVlEjo2DG9/bZ27tRHH+noUUl6/nktWCBJUaRcTl27SqcPB5JJzvB9EHynduCAPvlEH3+s555Tba0kffmlnnhC/fpp6lSNGhU2Y2DPBsF3RlGkYlHJpFIpSWprUyajKFI6rRUrtHChJNXW6rrrNGmS7rtPdXXlfb+4aAi+8yqVFEWSQvZRpGRSBw9q1Srt2KHvvw+b9eypMWM0a5buvDMc6scbR5FSKXb7nQzBG4hP7M/288/askWbN+vQIX37rSRlMvrsM11/vaIozOTF8nmlUkoyuNtJELyfs/s/ckRbt2rXLvXsqaYmFYtKpfT++9q3T7fdppEjlclIUqGgRILhvU6A4F0ViyqVlE5LUjarkyd12WXhPH/sWH3wgXr10qhRGjVKd92l+vpyv110DIL3Fg/v1dSEX+NF+E89pZdf1nffhRcvv1zDhunuuzV5snr1CgcI8ZZnH/yjGhA8TnfefqIeRTpxQnv2aN067d6tU6fC69OmqakpDAS2b8xkflVhMAYK5+ftkkn16aMpU7Rtm774QsuX69Zb1bu3Bg+WTo/2v/uuDhxQa6tSqTALkM+H7wJUMPbwOJc/D+x/+qn691f//pJ0/Lj691c+r8mTNXGibrlFw4aFzeKvA1Qqgsc5nMm2/dL6+Pf4i+DzzzV1qo4cCVsPGKCxYzVmjCZNUt++5XnHOD8Ej9/58649iJfuxX/L5XT0qPbv11tv6Y031NoatrnhBi1dqokTw/QeKg/B449aW7V5s2bPlv6m/1g2q2PH1NKixkbt3atUSs3Nuv12gq9YBI8g/kc4flwzZ6qlRU8/rSVLVCj8xfraKApX47b/un+/jhzRlCm65JJ/+p5A2RA8pNN78lxO48dr9+5w3c3KlZo7V/m80um/6JfL7KoNA6oI4uYnTAi1R5EWL9b27aqp+et75Jy98IY7Z1YD9vAI2g/DFy/WsmVKp1Usqk8fbdumESOYbuskCB5nxP8LhYIeeECvvKJ0WoWC6urU0qJrr6X5zoDg8Tvxfv6XXzR1qnbsUCajXE719WppUd++NF/1+PTwO4mEokjdu2vtWt18s3I51dTo8GFNn66TJ5VMsny2uhE8/iiZVLGovn3V2Kirrgq3wPjwQzU06NSpM/fRQTUieJxDKqViUddco02b1K+fokiZjF57TUuWhA1ovkoRPM4tbv7GG7V+vbp3Vy6nTEYvvKBly8ISWwZ/qhGDdvg78RrZjRs1c+aZEbs1azRnDgN4VYlPDH8nfpLNjBlasULpdBi0a2jQm2+GU31UF4LHP4siPfSQFi1SoaCaGkWRZs3Snj3hsB9VhEN6/LP4Spl8XnPnasOG0HldnZqbNXQol8ZVE4LHeYlvV9/aqunT9c47qqlRPq8hQ7R1q668kuarBsHjfMWjdD/9pAkTtG+funRRNqtx47Rpk2prGcOrDnxEOF/xiF38xIqrr1Y2q0xGO3dq/nzlckommairAgSPfyGueuBAbdmiujrlckql1NSkhQvD0+hovsIRPP6deLH94MFat06XXqpSKSzIefbZMIeHSsY5PP61UinMzzU2qqFBbW1KpxVFWrVKDz74x6dRoqIQPP6L9uaXL9ejj4bhunRar76qe+5RoRAeWodKQ/D4j9qfT/XYY1q6NEzU9eihrVs1bhzNVyiCRweYM0cvvRSaHzBAzc0aMoSJukpE8Phf4v18Nqtp09TcHO6KVV+v7dt1xRU0X3H4NPC/xONz3bpp/XqNGaNCQZmMDh/W7Nk6cYILbCoOweP/SiRULKp3b61bp6FDlcupWzft2qUFC5TNhjteo0IQPDpAKqVCQYMG6cUXNWCAfv1VXbqoqUmLFoUNOHGsEASPjhHfx/6mm7R2rXr0CPv2lSv15JMc2FcQBu3QkeK7XG/cqFmzVChIUhRp5UrNn88VdRWBPTw6UiKhQkEzZmjp0nDqnkzqkUe0aRN3y6gIBI8OFp/PP/ywHn88LLPNZtXQoPfeC39CGXFIj47Xvghv3jytXh2unB80SJs3a/hwFuGVE8HjgohP5rNZ3XuvXn9dXbuqrU3Dh2vLFg0cyPPjy4ZDelwQ8VW0XbpozRqNHq22NtXUaP9+3X+/vv6a2suG4HGhxHfLqK3Vhg2qr1c+L0l79ujHHyVm5suEQ3pcWPFy+kOHNH68SiU1NuqOO1hjXzYEjwsunoHft0+5nEaP5gS+nAgeF0N75NReXkyP4GJof/gktZcXweMiIfVKwMgJYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkd8A40El1M7SwcUAAAAASUVORK5CYII=", "image_next": "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", "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": "f0eb9b6164066602dd71f6dc36ea5e1c283c87eed0035d8100e97cb830cf5157"} +{"episode": 8252, "episode_seed": 2261391540, "split": "train", "timestamp": "2025-09-15T22:48:35.060367", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2261391540, "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', [3.044232914364128, 0.8301971541856347, 46.074934509170326])", "action": "('move', [3.044232914364128, 0.8301971541856347, 46.074934509170326])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.044232914364128, 0.8301971541856347, 46.074934509170326])", "action": "('move', [3.044232914364128, 0.8301971541856347, 46.074934509170326])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALEklEQVR4nO3db2hV9QPH8c85u/Nf5vo30gYpWBhppTClf4bOViH+qxDTVFplQo+kZ9WjgqBn9SBJgjDE9Qc3dREiGfPfUlpQpEaaYjgqjbRiaiu995wenK9O/Vlu9XN3937er0fXseFx29vv93vO95wbpWkqAB7iYh8AgL5D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBw16aKk2LfRB9hOBhL4oURSoUHLLPFfsAgGLL51UoaOBASd3NR1ERj+jyYYSHvcZGTZyol15SR0cY7bPay3HAj9Jy/FcBvTB5straJOmqqzR1qpYs0T33aNiwYh/WZUHwsLd+vd59V+3tOnQofGTMGD35pGbO1JgximOlqQoFSaqoKPWpPsHDW5qGhg8c0AcfaMsWffqpurok6bHHtGqVcrnuyJNESVLS2RM87GUZ53KS1NWlzZvV2qqNG/XCC1qwQEmiP//UmjWqqtLs2d1fcnapX1IIHpAkJYkKBVVWhj9+952uu05XXKE41jff6NZbNXSoJkzQrFlatEjXX1/UY/33CB44R7ZcPztpzyb827dr7lz99FP4nOHDNW2ali7VpEmqrFQch89M0/C6HyN44H9k9WaT9uxFV5c++kgrV+qLL7rLHzNGTU0aN677REA+ryhSHPfb2T7BA72xZ4/ef19bt6qtTXGsfft0001KEp04oePHVVMjKWza65fn9gge6JkkCRlLOnlSa9cqjjV3riorFUVqbNQbb6i+XvX1mjy5+0v62bk9gsd/cnYy6+KCc3tZ0idPat48bdggSdXVqq3VzJlasEBVVUU80osieKD30lT5vOJYFRVKUyWJdu3SqlV6773uFf6NN+qhh/T005o4sfsLC4WwyC8SgkevZaP63r3asUPTp2v48GIfUP/R2am1a/XOO/rqK/32myTdf782bZLOnwtl5/ay1UHf6u9XEdA/FQpavVpPPaU779TLL+vUqWIfUNFlA+ewYXriCW3Zoo8/1rJluu02LV0qnZn5r16t5mYdPapcThUVyuf7/v4cRnj0TjZQ/fijamv188/K5zVqlL7+WkOGFPvI+okkkRQm7YcP65prwrX6Xbt07706flx1dZo2TfX1Yarft2dBGOHRO9kvZ0uLDh8Or199VUOGlOW9pP9KHCuOlSQ6fVojRmjgwPCt+eMP3XGHJLW26sUX9cgjmjVL338fLvX3FUZ49Fo+r7FjdeCA0lQ336wtWzRihN/p+p4497JcmurYMe3Zo8ZGrVunY8d0ww1qb1dNTV9+7wgevZD9ZjY1ae5cVVSoUNArr+j556WyfULMZZCm+uUXrVihkSO1cGEf/+UEj17I1qd1ddq6VVGk6mpt2qTbbw/bz3EJWWtF/a+RNTx6KruE3Namzz8PC885czR2bLhDHJd27q67Ij0ql+DRC1Gkt97S779LUlWVHn44TOzRa0Xackvw6JFs0r57d5jMp6lqa1VXd942U/R/BI8eyVbva9bohx8URaqs1OLFGjCAq3ElhufS49IKBeVy6ujQ+vWh8NGjNW9e981jKBWM8OiRKFJrq3bvDneLNDSEHSVcjSstXJbDJWRVnzihGTO0bZskXX219u5VdXWxjwy9xwiPHmlv1/btyuWUplq8mNpLFcHjErJz8itWhCe+RJGWLLF6w9WyQvC4hDTVt9+qqSnc0LlggUaPZuleqgge/yQb0l9/PbwYMECPP66BA8NdISg5BI+/lU3ajxzRunWKIuXzmjxZd99d7MPCf0Dw+FvZg5jefltHj4aPPPqoqqrC09xQith4g4vLbok5flzNzWG3/LhxmjWLa++ljf+ocXFJojhWc7P27AnPWZ0+XTU1yufZXVfCCB4Xkb1LWleXmpt1+rTSVNXVamhgL23JI3hcRKGgOFZbm7ZtC8v1KVN0yy0l8XaJ+Cf89HChbBg/fVotLerslKQo0nPPcSmuHLCXHhfKVu/79mnSJJ08qUJBU6eqtbXYh4X/B0Z4XCibtDc3q7MzDOnLlkliL205YITHRfz6qyZMUEeHJI0dq507NXQoF+TKASM8zpPdFfPhhzp0KNwb9+yz1F4+CB7nyZ6t+NpriiIVCho5Ug88IDGfLxcEj27Zg+s2bAibbZJE8+Zp1KhwGg9lgB8jumXBL18ebn2vrtacOeGZVigP7KVHkD2IeudOffZZKLyuTnfdxfBeVvhJolsUqbFRx44pijR4sObPl8R+m7JC8JDODO/792vjRklKU40frwcfVJIoxyywjBA8pDMn4VtadPBgeIPzhQs1aBCr93LDxhuEVfqRI5o9W+3timONGKH9+zVoEJP5csMIj2DHDrW3q7JSSaJnntHgwcU+IFwGBA/FsU6d0ptvSlKS6Mor1dBQ7GPC5cEJGXfZku7LL/XJJ+G9nxcuVE2NJObzZYgR3l22l3b58vCGE7mcFi1SHHO6rjwRvLWs6oMH1dKiOFaSaMYMjR9f5KPC5UPw1rK9tCtXqrMzvCf0/PkaPDg8oBrlh+CtZXtm77tP8+fr2mtVW6upU3lSZTnjOjyCzZsVRZoyhc3z5YzgoSRRoaDKSkk86KLMETyCbN3OZL68ETxghLUaYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQvi9rWNXVoQRMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [3.044232914364128, 0.8301971541856347, 46.074934509170326])", "action": "('move', [3.044232914364128, 0.8301971541856347, 46.074934509170326])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH/UlEQVR4nO3cz4ud1R3H8e955o4mgbQLF0GirUGwtSWtDdasajRDrAubutCKGm3sD/8R/4ZiYhcSBam1bkIS/JHEUmtTBU1aixtBiAR/m4UgJpm5z9PFvYw6FtqK3ol+Xq/tzL2cxbw55/nec6cNw1BAhm61FwDMjuAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOCJNh5X36/2ImZI8OQahpqbq66rc+dqPF7t1cyE4AnV99VaHT9e77xTF1xQc3O1tPT13+3bMAyrvQaYtclf/Ucf1fbt1dqwY6G/9ba5zZs/9dPWVm15Xx7Bk2hpqUajevTRuvvuOneuqoaNG9sPN/d37mq3/qLNz09/bRhqGKq1r0/8gifRJPjdu2vfvqqqalVDVdVoVBdvGN+xq7vrrnb55bVmTVXVMNR4XHNzX4fsBU+iyb79yiu1b99w6FB79dXh7NmqanNzy9O7fsdC/eq33dZratOm6asWF6dDvq8uwZPu3Ll67I/DoYPDc8fayZNV1Uajqqqlpaqqyy6rW26phYW69tpat66qanGxuq7m5lZxyZ+f4Mm14qx+4vjwzDPDgYPt6NG+aq61mp+fPOHX/PywsNCu29bffHP7znfb8su/cod8wZNukn1VTTb299+vf54Y9h9oDz1Up09XVXXddHpXNWza1K7+0fiu3d1NN7Xl2r9CU33Bw9R4XMMwzX4Y6u2366mnas+eeumlOnu2qpZne8Pate3bl/a33V733NNdcsn0eD8M1ffVded1+YKHT5ls5p+czB0/Xg/s6Z8+Uq+/3hYXW1V13fSKzmg07NzZdu+uLVtq48bp75/Psz3Bw3+24hH9gw/q0T/0Bw62F55vb73dV3Wj0cePA1dcUbt21XXbhmu2tgsvrDpfZ3uCh/9iclZfTvdvzw2Hnx6eeLId+3tVtUnVi4tVNaxbWz+9sRauH352c/etS6tqehA4f3Z7wcP/ZLKZtzYt/80368UXh/372yOP1IcfVlWNRtNP8qr6732/2/rj/vbb244b2iffoVZ7tid4+D9Mdvvl2d7SUp06VYcO1QN7+5f/1fq+VVXrauirqtavr8s39Xf/srvjztqw4VPvsFqzPcHD5zHJfvmcPx7X8y/Unt+Nj/65e+ONSVZt+cbu+vW1c2f95te1+Qd10UXTl6zKbE/w8Pl99pT+7rv18MP9wQN14h/t9OlWVaPR9AO/qv6qq9quXW3bT/otV3eT1BcXa/m7OjMgePhirPg878jh/okn2+HD7cSJqqquq9Fo+s28b35j2PnztnB93XBju/jimS5S8PBFWjHbO3myjh2r/fvrT48Ni0tV1ebnJyP9qhq2bGnbt9d999WaNTO6qCt4+OKtuK575ky99lodPFS/v3/86mvT5/7J7Z0rr6yXX67WZvQwL3j4Eq2Y7Z35qP7ybO25v3/2r/Xee11V7d1b9947u+/hCB6+dJ+9rnvqVD34YB05Uo8//vHcfgYEDzP12fhnSfCwClbM9mZG8LBqZv8vNM6bS/2QZ/a3awUPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4NDXTYtCbBdm0AAAAASUVORK5CYII=", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH/UlEQVR4nO3cz4ud1R3H8e955o4mgbQLF0GirUGwtSWtDdasajRDrAubutCKGm3sD/8R/4ZiYhcSBam1bkIS/JHEUmtTBU1aixtBiAR/m4UgJpm5z9PFvYw6FtqK3ol+Xq/tzL2cxbw55/nec6cNw1BAhm61FwDMjuAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOCJNh5X36/2ImZI8OQahpqbq66rc+dqPF7t1cyE4AnV99VaHT9e77xTF1xQc3O1tPT13+3bMAyrvQaYtclf/Ucf1fbt1dqwY6G/9ba5zZs/9dPWVm15Xx7Bk2hpqUajevTRuvvuOneuqoaNG9sPN/d37mq3/qLNz09/bRhqGKq1r0/8gifRJPjdu2vfvqqqalVDVdVoVBdvGN+xq7vrrnb55bVmTVXVMNR4XHNzX4fsBU+iyb79yiu1b99w6FB79dXh7NmqanNzy9O7fsdC/eq33dZratOm6asWF6dDvq8uwZPu3Ll67I/DoYPDc8fayZNV1Uajqqqlpaqqyy6rW26phYW69tpat66qanGxuq7m5lZxyZ+f4Mm14qx+4vjwzDPDgYPt6NG+aq61mp+fPOHX/PywsNCu29bffHP7znfb8su/cod8wZNukn1VTTb299+vf54Y9h9oDz1Up09XVXXddHpXNWza1K7+0fiu3d1NN7Xl2r9CU33Bw9R4XMMwzX4Y6u2366mnas+eeumlOnu2qpZne8Pate3bl/a33V733NNdcsn0eD8M1ffVded1+YKHT5ls5p+czB0/Xg/s6Z8+Uq+/3hYXW1V13fSKzmg07NzZdu+uLVtq48bp75/Psz3Bw3+24hH9gw/q0T/0Bw62F55vb73dV3Wj0cePA1dcUbt21XXbhmu2tgsvrDpfZ3uCh/9iclZfTvdvzw2Hnx6eeLId+3tVtUnVi4tVNaxbWz+9sRauH352c/etS6tqehA4f3Z7wcP/ZLKZtzYt/80368UXh/372yOP1IcfVlWNRtNP8qr6732/2/rj/vbb244b2iffoVZ7tid4+D9Mdvvl2d7SUp06VYcO1QN7+5f/1fq+VVXrauirqtavr8s39Xf/srvjztqw4VPvsFqzPcHD5zHJfvmcPx7X8y/Unt+Nj/65e+ONSVZt+cbu+vW1c2f95te1+Qd10UXTl6zKbE/w8Pl99pT+7rv18MP9wQN14h/t9OlWVaPR9AO/qv6qq9quXW3bT/otV3eT1BcXa/m7OjMgePhirPg878jh/okn2+HD7cSJqqquq9Fo+s28b35j2PnztnB93XBju/jimS5S8PBFWjHbO3myjh2r/fvrT48Ni0tV1ebnJyP9qhq2bGnbt9d999WaNTO6qCt4+OKtuK575ky99lodPFS/v3/86mvT5/7J7Z0rr6yXX67WZvQwL3j4Eq2Y7Z35qP7ybO25v3/2r/Xee11V7d1b9947u+/hCB6+dJ+9rnvqVD34YB05Uo8//vHcfgYEDzP12fhnSfCwClbM9mZG8LBqZv8vNM6bS/2QZ/a3awUPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4NDXTYtCbBdm0AAAAASUVORK5CYII=", "image_next": "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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": "4f49ec9e33293892b1d349915ecb8a9ad3638ce76d82f1ebec22bda946b19fc9"} +{"episode": 8253, "episode_seed": 879491753, "split": "train", "timestamp": "2025-09-15T22:48:35.994835", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 879491753, "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', [34.13946868024095, 10.581483042798254, 13.163149224941682])", "action": "('move', [34.13946868024095, 10.581483042798254, 13.163149224941682])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [34.13946868024095, 10.581483042798254, 13.163149224941682])", "action": "('move', [34.13946868024095, 10.581483042798254, 13.163149224941682])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [34.13946868024095, 10.581483042798254, 13.163149224941682])", "action": "('move', [34.13946868024095, 10.581483042798254, 13.163149224941682])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "983eb64db0afe53f8f29a3145e48e7933a01790511767708c16fa37f86275891"} +{"episode": 8254, "episode_seed": 4031123692, "split": "train", "timestamp": "2025-09-15T22:48:36.599498", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4031123692, "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', [2.0278398491434806, -4.1278072902252205, -11.375983635935683])", "action": "('move', [2.0278398491434806, -4.1278072902252205, -11.375983635935683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.0278398491434806, -4.1278072902252205, -11.375983635935683])", "action": "('move', [2.0278398491434806, -4.1278072902252205, -11.375983635935683])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKyklEQVR4nO3bS2xUZQPG8efMTGtpGgO00aItLYkiQqg1UaMLgy5koTFKBBMbY9QEbxvTRrQFUdAoAaroCjFxVYkLo/ESoy7UjZISU4NYbSBtqmiJVklroKQtZ+Z8iznMlH7wcfnamZbn/1sxnQuHlP+8l3kniKJIADwkin0BAAqH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBI+ZK4oURcW+iIsLwWMmynYeBAqCYl/KxYXgMbNEkTKZuPPOTv35Z/xDTAmCxwySySiKlEjo33/1wgtasULbtklinJ8yQcSbJ2aGMFQqJUlffaXnnlNXl4JAUaT339fq1Yoisp8CjPAoviiKaz98WOvWaeVKdXUplYpn8vv2SQzyU4QRHkWWG7o/+EBbtqirS4mEkkmdOKH6em3apAceUEkJwU8NgkfRZDJKJCTpyBG1tWn3bh0/rtJSjY9L0iOPaONGLVpU3Gu82BA8iiC7FZ9MKpPRJ5+opUX9/ZLiRXtdnV57Tffeq2RS6bQSCYb3KcMaHoWWTiuKlEzq11/1xBNatUr9/SotlaSyMj38sL7/XvfdF78dJJPUPpUY4VFQua34jg5t3qy+vnhzLp3W9derrU1r1khiT366EDwKJHtONpHQgQPavFnvvScpv2JvblZzs2prFYaM6tOI4DHtcudkJe3cqe3b1d8fz9ijSI2N2rpVK1dK0okTKikp5qVe9Age0yudVjIpSb29amnRZ58pk1FJSdx2c7NaWzVvXn78x7QieEyX7Mo8ldLIiDo61Nam4eF4413SDTeovV0rVkiKD88zjS8Agse0yA3sXV16+WV9/LGkeGCvrNTjj+v55zVnDqkXGsFj6mVrHx/Xm2+qvV2Dg3Hqku64Q+vX67bbJLbii4HgMZVyDe/dq/Xr9fXX0smBvbxcL76otWs1bx5b8UVD8JgauXOyYahXX9Ubb2hoSKmUwlCSbr9dO3bouuviB2Q/ikfhETymQK7hzk41N6uzU1Jce2Wl2trU0hIfm2UrvrgIHv+X3Fb8X39p505t2aLx8fxxmjvv1JYtamiIH8kcvugIHhcuN43/4gu98oq+/VZBoGRSYaiFC/Xss3rqKQVBfsceRUfwuBC5w3PDw9q8We+8o6NH81vxTU1qbdXy5czhZxyCx/mZ2PDnn6u1Vfv3S4pP1FRXa+tW3X+/ysrYip+J2C3Feciek0kkNDiol17Srl0Kw3jFnkho9Wpt367aWknxwh4zDSM8zlX29HsU6dNPtW6dDh6MD8llMlq8WBs26KGHpFO/KoOZhuBxdrkN9t5etbdr1y7p5Ddbg0CPPqqNG1VXl9/Dw4xF8DiLbO3j43r3Xb3+un7+OV6Zh6GWLdOmTVq9WuI4zSxB8DiLbPCDg7r1Vh08qLIyjY5K0tNP65lnVFOjTEYSY/vswG8JZ5H9IL2qShs2SNLoqJYu1ZdfascO1dQonY638TArMMLj7LKDfDqtJ5/U2Jh27lR5uSQW7bMPweOcZJvPFc452VmK92eck2ze2ebFp26zFsHj/DCHn9X47eE8MLDPdgQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMpIp9AYCNKDrlZhAU/hIIHiiUYhQ+CVN6YCpEkdJphaHCUJnM5HvTaY2M6MgR7d2rt99Wc7MWL9bu3fFdBcQID1yobOSZjBIJpVJKJk/zmOPH9dZb+uUXdXfrxx81Opq/67vv1NR0+mdNmyCatK4AcCaZjKLo9ImOjGhgQH/8oUOHNDCgu+5SY6MkDQ1p/vz8w+bPV02Namp02WW6+27dc4+SSUVRwWb7jPDAmeWGwyhSIqFEIn8zCDQ4qD171NOj/n79/rsOHdKhQzp2LH5AY6PSaVVUaO1ajYxoyRItXKj6etXWqr4+/1Iq6Nqe4IEJYU9qL3czCBSG6u5WT49WrdIll0hST48ee0x//33KU6qqtHixFi2KXzaV0rZtmjMnfkrO+Hi8ECgsgoerKMpP0f97jA1DjYyor0/79mn/fv3wg3p7dfSojh3Tnj265RZJqq9XRYXGxnTzzVq+XA0NamjQggWaM0fl5ZLinufOlRSv9oNAiYSCQKWlBfyn5hE8XAVBfjU+NqahIYWhqqvjn3/0kdasmfyU0lJdfrkGBiQpilRbq2++0RVXqKTkf/1F2elDMlng/bnTInj4ya7Ah4fV3a3Dh9XXpwMH9NNPiiJ9+KHq6yXFI/Cll6qmRtXVuvJKLVmipUt17bXxdD0IFASqq5v8ylkTpwwz4OP3HIKHn3RaqZS6utTUpMHBU+765x/V1yuKdOON6uhQVZWuukqLFp1xcJ60wT6T2j4tgoefbJaVlUqnVVamm27SNddo2TLV1enqq+PHLFigBx+M/xxFGh+Ph/SJe/WaBYVPwufwcDU6qt9+U2mp5s5VRcXkdXgUKQzze2yzLewzIXhA0slN+2zeFy+Ch7GJ//kv6s5zWMPDmEfkE/FtOcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkf8AS0q501t9XCYAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [2.0278398491434806, -4.1278072902252205, -11.375983635935683])", "action": "('move', [2.0278398491434806, -4.1278072902252205, -11.375983635935683])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "58bb5d16de318349db91023e6e3aad81fa4ceb84a00827adfd6feac3fe2e4bfb"} +{"episode": 8255, "episode_seed": 1800650819, "split": "train", "timestamp": "2025-09-15T22:48:37.209544", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1800650819, "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', [-12.823093665229399, 24.906413470176236, 58.2415785299076])", "action": "('move', [-12.823093665229399, 24.906413470176236, 58.2415785299076])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-12.823093665229399, 24.906413470176236, 58.2415785299076])", "action": "('move', [-12.823093665229399, 24.906413470176236, 58.2415785299076])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-12.823093665229399, 24.906413470176236, 58.2415785299076])", "action": "('move', [-12.823093665229399, 24.906413470176236, 58.2415785299076])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "c18cab635a441e729c98df55f53b0f4dd9b3e1830d0200c6a631052a12ad606f"} +{"episode": 8256, "episode_seed": 4118353049, "split": "train", "timestamp": "2025-09-15T22:48:38.146353", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4118353049, "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', [-0.8268667664406059, -0.25246017620501165, -40.62828633355616])", "action": "('move', [-0.8268667664406059, -0.25246017620501165, -40.62828633355616])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.8268667664406059, -0.25246017620501165, -40.62828633355616])", "action": "('move', [-0.8268667664406059, -0.25246017620501165, -40.62828633355616])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.8268667664406059, -0.25246017620501165, -40.62828633355616])", "action": "('move', [-0.8268667664406059, -0.25246017620501165, -40.62828633355616])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3c3Y+UZx3H4d8z09k03bXYSJtma6gEE1+ShgJpa6m8NJWabY3QGKvhrP9Pj5v+A020YNsYLZCCWpc3jVBQIppsiiTFRlIxqATCzszjwUwXShtrLMsC3+s6nJ1n8hzMJ7/7vmdnmrZtC8jQWeobAG4cwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQO5b6BridDQZVVZ1ONc1S3wpVVdW0bbvU90CK0XtN/EvIhOf6a9tqmur368UXazCoF16o6emqq1IfDKppqmNDecOZ8Fx/g0F1u3XyZM3M1OnTNTlZax8ePP/D7pYt7QPTzdTnrjytbavTUf6NY8KzWPbtq9Ona2KiLl6s2QPd2QNV1W54ot32vc4T62vVqlq+fPzM+flqmup2rfYXneC5/kYTe9myWr26jh8fVjVVTa9XbduZPVCzB6qqNm+ujRvrkUfaxx5r7r13fGG/b+AvLkt6FtGpU/XOkeGh33T27G7/cGJY1a2qXq8GgxoOq6omJmrdulqzevDkU52nv93c/eFqf+FdaeZfX4LnRjjzXs3Ntft+0fxkx+CPf+pUNVXV6Yyzr2onJ5sVK9o1q4dbn+s8+2wzOXnl2rYdnwKK/7MTPItlFOpw+JHN+b//1c7NNa+9Xm+8Ue++WxcuXHtRr9d8/u7h5s3tD7Z3N3yz7rmner3x33yq/9kJnkU3Kr/q2s358d/XazuHe/fWqb903n+//djYr6mpmpmpbdtqzcPtg19q7rpr/Pjly9XtKv//IXhurLZGb7irWz1ypN7aMzz82+bYseb06XH5V2/1l00Nnp7pbtrYrllTa9c1d95ZVTUcjj//c8j3vxM8S2a04K+qbnf8yNGj7ZHftQcOdvburTNnqqqqqYlezc+P1gjD5V9oHv1G8+jawZNPdTZuahZeZ8TA/1SCZ+mNJvnCrO73a26uTpyoPXvqp68Pzv59fMjX7Y638VXtffc1K1fW+vW1dWtt2vSRV9P/fyF4bhajgT8cXjml6/frH+fao+80O15td/1sePZct9+/9qqpqbr//npmZvj95ztr19bCPr8c8n0SwXPT+cRDvkuXana2dvx4sP9g569nmvP/HG/1m2ZhpLcrHmi3Ptd8d2vz1a+0019sOs341QS/QPDc1D7+BbvBoPa+1e7e1R491jlxos6dGz/e69X8/PiilQ+2z3yns3FD+9BD9bWvy/0KwXPLGK35F5boly7V/v11+HAdOlRv/3J44WJT1XS71e3W5cujK4ZfXtV8a0vz0kuG/JjgucWMt/qD6k2MHzl/vv58sj16rN58s3b/fDg/7FaN/ye/36/HH6+DB5fyhm8qgudW1bbjY7k7PvwK2IULdfZv7a9nm1d/NPzV23XxYqeteuWV2r59CW/z5iJ4bnmjmX/1L2q0bX3wQe3aVTt31ssv1/S0o7sxwXP78BNan8o/JXL7uOYbdQtrfhaY8BDEhIcggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wH+1qfrCl+WAgAAAABJRU5ErkJggg==", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3c3Y+UZx3H4d8z09k03bXYSJtma6gEE1+ShgJpa6m8NJWabY3QGKvhrP9Pj5v+A020YNsYLZCCWpc3jVBQIppsiiTFRlIxqATCzszjwUwXShtrLMsC3+s6nJ1n8hzMJ7/7vmdnmrZtC8jQWeobAG4cwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQO5b6BridDQZVVZ1ONc1S3wpVVdW0bbvU90CK0XtN/EvIhOf6a9tqmur368UXazCoF16o6emqq1IfDKppqmNDecOZ8Fx/g0F1u3XyZM3M1OnTNTlZax8ePP/D7pYt7QPTzdTnrjytbavTUf6NY8KzWPbtq9Ona2KiLl6s2QPd2QNV1W54ot32vc4T62vVqlq+fPzM+flqmup2rfYXneC5/kYTe9myWr26jh8fVjVVTa9XbduZPVCzB6qqNm+ujRvrkUfaxx5r7r13fGG/b+AvLkt6FtGpU/XOkeGh33T27G7/cGJY1a2qXq8GgxoOq6omJmrdulqzevDkU52nv93c/eFqf+FdaeZfX4LnRjjzXs3Ntft+0fxkx+CPf+pUNVXV6Yyzr2onJ5sVK9o1q4dbn+s8+2wzOXnl2rYdnwKK/7MTPItlFOpw+JHN+b//1c7NNa+9Xm+8Ue++WxcuXHtRr9d8/u7h5s3tD7Z3N3yz7rmner3x33yq/9kJnkU3Kr/q2s358d/XazuHe/fWqb903n+//djYr6mpmpmpbdtqzcPtg19q7rpr/Pjly9XtKv//IXhurLZGb7irWz1ypN7aMzz82+bYseb06XH5V2/1l00Nnp7pbtrYrllTa9c1d95ZVTUcjj//c8j3vxM8S2a04K+qbnf8yNGj7ZHftQcOdvburTNnqqqqqYlezc+P1gjD5V9oHv1G8+jawZNPdTZuahZeZ8TA/1SCZ+mNJvnCrO73a26uTpyoPXvqp68Pzv59fMjX7Y638VXtffc1K1fW+vW1dWtt2vSRV9P/fyF4bhajgT8cXjml6/frH+fao+80O15td/1sePZct9+/9qqpqbr//npmZvj95ztr19bCPr8c8n0SwXPT+cRDvkuXana2dvx4sP9g569nmvP/HG/1m2ZhpLcrHmi3Ptd8d2vz1a+0019sOs341QS/QPDc1D7+BbvBoPa+1e7e1R491jlxos6dGz/e69X8/PiilQ+2z3yns3FD+9BD9bWvy/0KwXPLGK35F5boly7V/v11+HAdOlRv/3J44WJT1XS71e3W5cujK4ZfXtV8a0vz0kuG/JjgucWMt/qD6k2MHzl/vv58sj16rN58s3b/fDg/7FaN/ye/36/HH6+DB5fyhm8qgudW1bbjY7k7PvwK2IULdfZv7a9nm1d/NPzV23XxYqeteuWV2r59CW/z5iJ4bnmjmX/1L2q0bX3wQe3aVTt31ssv1/S0o7sxwXP78BNan8o/JXL7uOYbdQtrfhaY8BDEhIcggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wH+1qfrCl+WAgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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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": "df2099df0948b099cf33954d8b96860bb4da79a276246bc6bded4c90d8b95cb3"} +{"episode": 8257, "episode_seed": 1400750238, "split": "train", "timestamp": "2025-09-15T22:48:38.754332", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1400750238, "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', [10.910551924442267, 10.819202751474892, -17.642526785112562])", "action": "('move', [10.910551924442267, 10.819202751474892, -17.642526785112562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [10.910551924442267, 10.819202751474892, -17.642526785112562])", "action": "('move', [10.910551924442267, 10.819202751474892, -17.642526785112562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [10.910551924442267, 10.819202751474892, -17.642526785112562])", "action": "('move', [10.910551924442267, 10.819202751474892, -17.642526785112562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "95c1ddf5dcd7e1d96fa6185352e2e7de1d5b15a87003f3dd43d9689b91c061f1"} +{"episode": 8258, "episode_seed": 4228102402, "split": "train", "timestamp": "2025-09-15T22:48:39.362355", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4228102402, "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', [5.805594070302554, 11.52296953740422, -59.09599822212018])", "action": "('move', [5.805594070302554, 11.52296953740422, -59.09599822212018])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPUlEQVR4nO3dy4ud9R3H8c8zcyaOQxJBJdJ4oVEXXqgVV1Uq1AsKTYsLxY0irsRF0VioqImmNdVqxVb9AxQXceGqSEstXXjB2yC6MAgWSqpETbRRNFozZuacp4tznLFtbrro5Dnf12s3Qxa/hPM+39/zPL9z0rRtG6CGieVeAPD/I3goRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRfJcNBmnb5V4EXdK0XjFQRm+5F8C31e9ndjavvprvfz8/+tFyr4ZusKXvoOGmbN++3HNPNmzIE09kMFj6PRyY4DuoaZJkejrnnJOpqXz2WfbuXe410Q2C76a2TdPk+OMzP5+dOzM3t9wLohsE303DPfx3vpMku3aZ8BwmwXfT8HL9uOOSLE141/AciuC7aXgZv3JlVqzInj0mPIdJ8N00DH7VqqxZk6bJP/+59Es4MMF32cqVWb06bZt3300Ez6E5addlc3P5+98zM5O1azM9vdyroQMEPxaGT+ngUGzpx4LaOTzO0nfWcKrv3p0330ySH/4wk5PLvSaOdCZ8Z/X7SfKnP+Wqq3Ljjdm3b7kXRAeY8J01vPkyHPK7d2duLkcfvdxr4khnwnfW8Lr9hBOyenWaJh98kDhsxyEIvrOGwR977H88ioeDEnzHHXdcVq9OkvffX+6l0AGC76yJiSQ5/vgcc0ySvPfe8i6HThB8l/X7WbUqxxyTpsmOHcu9GjpA8J3VNOn30zSZmUnbZufOxE07DsFjuS4bnrS5+up897u58MLEkTsOwVl6KMSWvvv6/czPj770Cg7KhIdCTPguG071f/wjl1+edevy9NNLv4T9cdOu+446Km+8kV27RoftbNk4MBO+yyYm0rZZs2b0KH7XrkTwHIzgO67fT6+XlSvTtk7XckiCHwsnnZR8dbrWNTwHJviOG560OfHEJPn44+SrM/awP14cY+Gkk9LrZW4ue/em13MZz4EIvuMWvwZjYSHvvGNXz8F5LDcWzjor69fn9NNH33LlRD0H4KTdWJifz969mZlJzzs4ByN4KMQ1/LhoW/fqOCQ7wHHhup3DYMJDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBf3ttu9wrgG9I8N9G26bfT9Ms/QidIPhvbDDIYJDJyXzwQe69N3/5S5om/f5yLwsOQ2+5F9Ax/X4mJ5Pkr3/NnXdmdjbnn5/zz8/q1RkMMuH9kyObV+g3sLCQycl8+mluuy0//WlmZzM9nZdfzi9/mYWFNI29PUc6E/6wtG2aJr1enn02t92W2dlMTGRqKnNzOe20XHzx6Hp+8aoejkxNayod1DD1JPv25de/zsMPZ8+eTE1lfj5Jrr02996bk0/+jz8JRyzBH8zCQnq9JHnttdx0U156KUkmJ9PvZ+3a/OY3ue66ROp0h2v4A5qfT6+XPXvywAO58MK89FKmppKk38+VV+aFF9RO95jw+zH8J2mavPJK7r47f/7z6AJ+fj6nnJLbb8+NNyZfu2MPXSH4/7Y4sR94IL//fXbuXLpiv/LKbN6c730vg0ESD+HoHsEvWXyQ/re/ZcOGPP10kvR6WVjIqlW5775cf31mZkYP52zj6SLBJ0nbjg7PffllHn88Gzdm9+5R6kkuuSSPPJKzzkps4+k4wWcwSNOkafLWW9m8OU8+mSQrVmTfvpxwQjZsyK23ZmJi6cIeuqt68IsP3h57LJs3Z8eOpcF+6aX51a9ywQVSZ3zUDb5t07aZmMj27bnrrmzdmmR0f+7oo7NxY266KatWLb0jwBioGPzXJ/bWrdm0KW+/nV4v/X7aNj/4QR58MBdckLhiZ+yUG16Lt+I//DC33pqtW7OwMBrs09P5+c+zcWNmZkYP3tTOmKk14efnR6flnnoqt9yS7dtHd+PaNueem9/9LhddlDg8x/iqcnakbUeTfMeO/OxnueKKbN+eo47KYJDp6dxyS559Nhdd5P4cY67EhF+c2H/4Q7Zsyeuvj/bq/X7OOy93353160c/2sMz3sY8+MXUP/88d9yRRx/Nv/41esae5Oab84tf5MQTs7CQiQlHZRl/4xz84sR+5pncfHO2bRsdsBkMsm5dHnkk69enaTx4o5DxHGrDb5WdnMxHH2XTplx2WbZty4oVadtMTeX66zM7m5/8ZBS/2qljDCf84mB//vnccUdefHG0XV9YyBlnZOPGXHtt4lY8JY1b8MP9+Rdf5Le/zYMP5vPPlz7cet11ufPOnH66PTx1jVvwSV5+ObffnueeW/rWirVrc999ueaa0ZxXO2WNVfBzc3noodx/fz75ZOlW/FVX5f77c+qpiQdvlDdWwW/alHvuSb76nsk1a7JlS264IfnaZ2ChsjG5Sz9817rmmqxZkyT9fn784zz33Kj24afi1A5jEvzwf30588xs2ZJ16/LQQ/njH3PGGaPPwEgdhsZnSz/8e3zxRd5+O2efvfRxd2DR+AT/df2+PTzsx7g9oVr8Okrgf43nhAf2yzUuFCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkH8DgE6Fr4pCOKsAAAAASUVORK5CYII=", "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', [5.805594070302554, 11.52296953740422, -59.09599822212018])", "action": "('move', [5.805594070302554, 11.52296953740422, -59.09599822212018])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPUlEQVR4nO3dy4ud9R3H8c8zcyaOQxJBJdJ4oVEXXqgVV1Uq1AsKTYsLxY0irsRF0VioqImmNdVqxVb9AxQXceGqSEstXXjB2yC6MAgWSqpETbRRNFozZuacp4tznLFtbrro5Dnf12s3Qxa/hPM+39/zPL9z0rRtG6CGieVeAPD/I3goRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRfJcNBmnb5V4EXdK0XjFQRm+5F8C31e9ndjavvprvfz8/+tFyr4ZusKXvoOGmbN++3HNPNmzIE09kMFj6PRyY4DuoaZJkejrnnJOpqXz2WfbuXe410Q2C76a2TdPk+OMzP5+dOzM3t9wLohsE303DPfx3vpMku3aZ8BwmwXfT8HL9uOOSLE141/AciuC7aXgZv3JlVqzInj0mPIdJ8N00DH7VqqxZk6bJP/+59Es4MMF32cqVWb06bZt3300Ez6E5addlc3P5+98zM5O1azM9vdyroQMEPxaGT+ngUGzpx4LaOTzO0nfWcKrv3p0330ySH/4wk5PLvSaOdCZ8Z/X7SfKnP+Wqq3Ljjdm3b7kXRAeY8J01vPkyHPK7d2duLkcfvdxr4khnwnfW8Lr9hBOyenWaJh98kDhsxyEIvrOGwR977H88ioeDEnzHHXdcVq9OkvffX+6l0AGC76yJiSQ5/vgcc0ySvPfe8i6HThB8l/X7WbUqxxyTpsmOHcu9GjpA8J3VNOn30zSZmUnbZufOxE07DsFjuS4bnrS5+up897u58MLEkTsOwVl6KMSWvvv6/czPj770Cg7KhIdCTPguG071f/wjl1+edevy9NNLv4T9cdOu+446Km+8kV27RoftbNk4MBO+yyYm0rZZs2b0KH7XrkTwHIzgO67fT6+XlSvTtk7XckiCHwsnnZR8dbrWNTwHJviOG560OfHEJPn44+SrM/awP14cY+Gkk9LrZW4ue/em13MZz4EIvuMWvwZjYSHvvGNXz8F5LDcWzjor69fn9NNH33LlRD0H4KTdWJifz969mZlJzzs4ByN4KMQ1/LhoW/fqOCQ7wHHhup3DYMJDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBf3ttu9wrgG9I8N9G26bfT9Ms/QidIPhvbDDIYJDJyXzwQe69N3/5S5om/f5yLwsOQ2+5F9Ax/X4mJ5Pkr3/NnXdmdjbnn5/zz8/q1RkMMuH9kyObV+g3sLCQycl8+mluuy0//WlmZzM9nZdfzi9/mYWFNI29PUc6E/6wtG2aJr1enn02t92W2dlMTGRqKnNzOe20XHzx6Hp+8aoejkxNayod1DD1JPv25de/zsMPZ8+eTE1lfj5Jrr02996bk0/+jz8JRyzBH8zCQnq9JHnttdx0U156KUkmJ9PvZ+3a/OY3ue66ROp0h2v4A5qfT6+XPXvywAO58MK89FKmppKk38+VV+aFF9RO95jw+zH8J2mavPJK7r47f/7z6AJ+fj6nnJLbb8+NNyZfu2MPXSH4/7Y4sR94IL//fXbuXLpiv/LKbN6c730vg0ESD+HoHsEvWXyQ/re/ZcOGPP10kvR6WVjIqlW5775cf31mZkYP52zj6SLBJ0nbjg7PffllHn88Gzdm9+5R6kkuuSSPPJKzzkps4+k4wWcwSNOkafLWW9m8OU8+mSQrVmTfvpxwQjZsyK23ZmJi6cIeuqt68IsP3h57LJs3Z8eOpcF+6aX51a9ywQVSZ3zUDb5t07aZmMj27bnrrmzdmmR0f+7oo7NxY266KatWLb0jwBioGPzXJ/bWrdm0KW+/nV4v/X7aNj/4QR58MBdckLhiZ+yUG16Lt+I//DC33pqtW7OwMBrs09P5+c+zcWNmZkYP3tTOmKk14efnR6flnnoqt9yS7dtHd+PaNueem9/9LhddlDg8x/iqcnakbUeTfMeO/OxnueKKbN+eo47KYJDp6dxyS559Nhdd5P4cY67EhF+c2H/4Q7Zsyeuvj/bq/X7OOy93353160c/2sMz3sY8+MXUP/88d9yRRx/Nv/41esae5Oab84tf5MQTs7CQiQlHZRl/4xz84sR+5pncfHO2bRsdsBkMsm5dHnkk69enaTx4o5DxHGrDb5WdnMxHH2XTplx2WbZty4oVadtMTeX66zM7m5/8ZBS/2qljDCf84mB//vnccUdefHG0XV9YyBlnZOPGXHtt4lY8JY1b8MP9+Rdf5Le/zYMP5vPPlz7cet11ufPOnH66PTx1jVvwSV5+ObffnueeW/rWirVrc999ueaa0ZxXO2WNVfBzc3noodx/fz75ZOlW/FVX5f77c+qpiQdvlDdWwW/alHvuSb76nsk1a7JlS264IfnaZ2ChsjG5Sz9817rmmqxZkyT9fn784zz33Kj24afi1A5jEvzwf30588xs2ZJ16/LQQ/njH3PGGaPPwEgdhsZnSz/8e3zxRd5+O2efvfRxd2DR+AT/df2+PTzsx7g9oVr8Okrgf43nhAf2yzUuFCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkH8DgE6Fr4pCOKsAAAAASUVORK5CYII=", "image_next": "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", "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', [5.805594070302554, 11.52296953740422, -59.09599822212018])", "action": "('move', [5.805594070302554, 11.52296953740422, -59.09599822212018])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "a9d5d992a27ec25bf7291afa93e296e94d4da10747cc064cd9f0d2076788692f"} +{"episode": 8259, "episode_seed": 285828687, "split": "train", "timestamp": "2025-09-15T22:48:39.966015", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 285828687, "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', [2.786294021137969, -5.008468925951111, -33.983636245017685])", "action": "('move', [2.786294021137969, -5.008468925951111, -33.983636245017685])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.786294021137969, -5.008468925951111, -33.983636245017685])", "action": "('move', [2.786294021137969, -5.008468925951111, -33.983636245017685])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.786294021137969, -5.008468925951111, -33.983636245017685])", "action": "('move', [2.786294021137969, -5.008468925951111, -33.983636245017685])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "7aa738f88f88446efeb20929bc5e77048c25b88238ec02fd13997142cddb5cf4"} +{"episode": 8260, "episode_seed": 991948965, "split": "train", "timestamp": "2025-09-15T22:48:40.903669", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 991948965, "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', [-7.944991786538071, -3.7864001357244796, -54.3024238944995])", "action": "('move', [-7.944991786538071, -3.7864001357244796, -54.3024238944995])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJeElEQVR4nO3cT4hdd93H8c+9d5pRoS3TIJpSSRULHZksbK0xbUTswoAK4kpQcGkt+GehgoILFwURwb1LEQUXiq4FEctEUtvESJK2NsX+UULFSFun/mnm3vss5jKThORJH9PO3Hk+rxdZhDtnzpxF3vP9/c45ZDCdTgN0GO70BQDbR/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZGGnLwC6TKeZTpNkuBPTVvDwhptMZp0PhxkOMxjs2JUIHt4Q02kmk0wmSXLDDVufr63lhRfy17/mzjuztJTpdFv7H0w3lhfAddsY4xvz/OLIX3opTz+dp5/OmTM5cSK//32efTY/+1k++cmsr2dhG8euCQ/Xa2NobqzYB4PZ5nxtLSdO5OTJnDqVp57KH/+YP/95dvzCQm64IWfPJslotK1D3oSH/4PNtgeDK1S6tpZjx/Lb3+Z3v8tzz+XcubzwwtZXN34RbCzyk3z84/nJT/KWt2xr8CY8XMPmQn0wyGiUZKvPV1/NSy/lkUeyupqHH85TT2VtLa+8cuXzDAZZXMy73pXDh/PBD+bee/OmN9nDwxzY3Ipfthsfj3P+fP72tzz+eFZXs7qa48ezvn7V89x0U265Jbfemg98IIcO5b77sm/fNlz+VQketmzcV59MsrCw9Zx8PM4zz+SZZ3L2bI4fz6OP5vjxrW8ZjTIc5sKFrU/27s3+/dm/PwcO5J57cs89edvbrvCztnm2bxA87TbG+EZ+F78Mc+ZMTp/OqVN5/PE88UROn97afo9GGY1y4UI269m7NysrOXAgy8uzP29/+9ap1tdne/4r7vy3k+Dpsvnv/YrhnTqVRx7JsWN58sn85S95/vn85z9bX11YyHi8dYalpRw8mPe/P+99b/bvz2235a1v3Tp4fX0u3rS5jOCp9uqrOX06q6v5zW/yhz/k/Pn84x+XRH6x4TB79+bee3P4cA4dyv79ufnm3Hjj1gGTScbj2UphR96cvSbB0+Wf/8zf/55nn83qao4ezdGjOX9+a61+mT17ctNNWVrKXXfl8OEcPpzl5SwuXn7YeJxkLlbs1+SxHC02duk//GG+/vW8+OLsw40nbRcHv7iYd7wjt92WO+7IwYM5eDArK1c+28Vn2C0ET4uN4G+8MS+/nD17MpnMttnr6xmN8p73ZHk5d96ZlZWsrGR5eesbN57PXTbA53ySX40lPV3Oncutt87+ftdded/7cvfdefe7c/vtuf32rY33xq+Dja34fO7G/zuCp8t4nO98J3fckQMHcsst2bv3kgX5hQuzMT5Xt9ZfR4Kn3S665Xb9BE+jzTdtsmt34/8dwUOR/0e3I4BrETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU2f3BT6eZTHb6ImB3WNjpC7g+02kGgwwGO30dsDvszgk/nWY6TZLBIGfO5NFHk5jzcE27MPjNqb62lu9+N/fdly99KefOZTjUPPzvduGSfjDIK6/kl7/Mt76VkyeT5E9/ytmz2bdvNvaBqxhMd0Ukm2v44TBra/nqV/P97yfJ4mI+9al87WtZWZlNfuDqdsOEv/jO3Hic6TQvv5wkR47ki1/Mxz6WJJNJhrtwewLba74n/ObQ/ve/8/DD+dCHsrCQ4TBPPpkTJ3LkSJaWMh5nMFA7vBbzGvxkMpvqk0l+9at885s5eTI//3mOHLlk6b6+ntHISh5eo7kcjONxhsPZI7fPfjYf+UiOHcv6en796ySzvCeTTKdZWFA7vHbzOuGfey4/+EG+9728+GKSHDqUL3whn/70Dl8V7HLzdNNu812an/403/52HnssSd75zjz4YD73udx8sztzcJ3mIPjNPflgkPE4o1GeeCKPPZbFxXz+83nggSwvJ8n6ehbm4GphN9vphDaH9vPPZ9++WdIPPJB//Ssf/nDuvz+DQdbXMxyqHa7fHOzhz5/Pj3+cb3wjDz2UL385ySX34Szj4fWzc8Fv/Nxf/CIPPTTbrt99d44ezZ49lxzgJjy8fnZ0wl+4kDe/OeNxFhbymc/kwQdz8OCOXQwU2NGN8XSa8Tj335+vfCUf/ejsEyMd3jA7PeF/9KN84hNZWpr9xzWj0Y5dDBSYg5t2uejVOuCNNAfBW8bDdpmDJ15qh+0yB8ED20XwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUOR/AD/dLiO9IXj2AAAAAElFTkSuQmCC", "image_next": "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", "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', [-7.944991786538071, -3.7864001357244796, -54.3024238944995])", "action": "('move', [-7.944991786538071, -3.7864001357244796, -54.3024238944995])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-7.944991786538071, -3.7864001357244796, -54.3024238944995])", "action": "('move', [-7.944991786538071, -3.7864001357244796, -54.3024238944995])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG9UlEQVR4nO3bP6yddR3H8e/znFNrWySxE38SogmmCWBcykBgKp0g6VAGEpEBlybiLU0cCDXlEhGQoTRoYkPAVS4LLiwGI064VBjqRtRIUAkJDk1o2nvO8/wc7hG70IC1Pef6eb2mk5Mz/Jb3+f15fk/XWisgQ7/sAQDXjuAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyP9D8PN5DcOyBwHbwXTZA7girdU41nS6+Nx1yx4QrLbtOsO3tih8MqmXX67jx+vChcX3wGfZfjP8VtJbk/kfzrT1J9uv3+zn87rnnrrvvuUODVZd17bPnNhaDcNiAf/RR/X8T8aXXuo/OV+TSQ1D7dtX77xTu3cve5SwwrbNDD8M1XU1ndY/P26v/6qePNH+8WFXVZNpDfO2d2/dfXe3uSl4uJxtMMO3VvN57dhRVfXGG3XqZPvt71pV/6WdtXmxqtqh+9tjx7oDB7tydAeXterBfxrwu+/WCy/UxsYi/tmsqtr+/e3oWj30nb7vazZb/CkAn2VFg7/0ZO7cuXrmx+MvX+0++KDr+6qqcazrvzIe/2H38MN1003dpXt74DJWMfhhqMmkqmo2q9c2xh891d77c1/VTaY1zGvHjnrwwVpfb7fe2lXVfF6TiWU8fC6rFfw41jAsVua/f7utr7c3f9NXLdbwXdfuuqt7+uk6cOA/v++3600CWIIVCn4+XyzL/3i2vfKLevHFVtVPpzWfV1W74/Y6cqS+v7Y4masyq8MXthLBb12b6/s6d65On67TPx//+n43mXR9X7NZu/669r1H68iR7mtf76QOV2LJwV/6FG1jo06erDNnqurTc/jxoW93x47V/ju7qprNajpVO/z3VmKGP3u2Hn+8vfVWXbjQ/XsNX9/65vjsc/29B2vnzsWtG9t1uEJLDv7vf6tTp8af/bQuzvpJX8NYVXXzzXX0aK2t1a5dVZcc2gNXaJnBD0Pt+8b4p7/0Wy+9zee196t1+IE6caJuuaXK4Rz8ry0z+IsXa8+e2rokVzUeOtQdXat7D3bleRtcHcu8ntb3NZnU5ma747b2xPHu8OHuy7sWF2nUDlfDMoMfx7pu9/iD9e67j3Q33Li4NueGLFw9y1zSt1bnz9eePVVVw1B9b7sOV9dKPJbzTitcGyuxV1Y7XBsrETxwbQgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwL9Nk7OAR9jMQAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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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": "3a2e041e7cabb7ea9013c45e9ccb11380bf87ef0d423591bd851588983d3a6f6"} +{"episode": 8261, "episode_seed": 3203384794, "split": "train", "timestamp": "2025-09-15T22:48:41.506336", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3203384794, "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', [46.08230401928241, -10.372441150271362, 23.89584851374669])", "action": "('move', [46.08230401928241, -10.372441150271362, 23.89584851374669])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [46.08230401928241, -10.372441150271362, 23.89584851374669])", "action": "('move', [46.08230401928241, -10.372441150271362, 23.89584851374669])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKHElEQVR4nO3dS6zcZeHG8efc2traNimlUBdcGoTaCzHBhURDKktNdOmlG10oiYkLFxggWjASElETdyaywcRYFhoXhpXRncEViYVipfaitopWIAIl1J6Z81/MML1wEf5weqY8n08mJyeTyZx3kn7P+/7ed+Z0ZmlpKUCH2ZUeAHDpCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KzK/0AGDqLC2Nv87MZGZmpUfzrppZGr04KDP5hz8VYY8GsfzM8LRYWjp3m53N7KuXs5PQhsP89785fTqHDuWpp/K732XPnnzxi8s/rNEgLknzguc9a2kpw+H46+xs5ucvCGo4zAsv5IUX8p//5M9/zoEDOXgwTzyRw4czGIwf8/LL+cIXsmrVssU4GGRuLknOns3CwiVoXvC8d0wKH82aCwvjmkbOnMkzz+SZZ/LPf+b48Rw6lKefzqFDOXnygieZn8/CQgaDDIf5/e/z4ou54orlGe7iYubnMxzmhz/MqVPZty9r1ix384LnMjbZXRt9Mzd3QeEvvZSjR3PsWI4ezV/+cu723HMXPMnCQmZnc/ZshsMkWVwc33nDDbnppvETvvsNDoeZn88f/5jvfCf79yfJhz+cz352PNUvG8FzGTh/Z/n89kbfT+75979z8OD4CvzIkfzrXzl1KqdO5fTpC55tbi4zMxkMxk979mySrF2bHTuyfXt27MiNN+bqq7NlS668Mhs3LsOLmZnJ7Gweeijf/W6OHEmST34yt9wyHtxyskvP1JnM2JN5+3Ufs7iYv/0tf/hDnnwyBw7k0KE8/3xOn87p0+OG38hox27z5tx8c3btyu7d2bkzV12Vdeuyfn1WrVqGlzQyWkKMRnD//fnWt5Jk48bce2++8pWsW7dsP/gcMzxT57WHZK+8kpdeyunT+fvf88QTefLJ8dfnnx9ftL+JVavy/vdn3bps2jTOe9eu3Hxztm4dT/UXGW0ETIbx7izml5YyGGR+PkkWFzM7m49/PFu3Ztu2/OhH2b17/Jjl36U3wzN1lpby3HPjBfk//pE//SlPPTVeqJ8/dc/MZG4uw+G5iXNk48Zs3pwtW7JlSz74wfFCfefObNjwZj/x/Kd9l43GNzubAwdy5ZXZunXc9mOPZdeurF9/7mRu+QmeqfPQQ3nkkRw/nqNHL7h/bi7z8xkMxvtqE1ddlWuvzbXX5pprct112bYt11+fbduyevUFDxsMzl3zX7q32UwO3h5+OPv2ZefO/OIXWbv23Hx+qd5yM2JJzxQZ/eN/+un89rdJMjMzPrcaHYwPBuNvrr8+N900vl1zTa6+eny76Gp/tBwYbZCNlgMr8GLm5nLsWO65J488kiTPPpsTJ3LjjUkyHF76t/iZ4Zkio0Z+9at8+tPn7ly9Oh/60HhrbffuXHddNmwY3y4yKXwS+cr7yU+yb1/++tckuf32fP/72bEjq1at1ODM8EydXbty22255Zbx7toNN+R973v9RkZHa5PdteU8wH47RscMJ07knnuyf3+Gw2zalDvvzNe/fvFlxiVnhudyMkppUv5UzOHnW1wcry5efjmf+Ux+85sk2bMn3/tePvKR5FJfsb+WGZ5pNLq8HbnonTZTF/nI6DRvcvC2bl327s3Jk/n853P33VlYGL+hf6VHb4aHd2wyb+/fn099ary7cOZMjh3L9u1JxrVPgakYBFyuJu/ROXkye/fmS1/KffclydJSVq/O9u3jbYbpqD2W9PD/NFrDz81lMMjPf5677srx40ny+OM5cyarV597wDSZll88cJkZnbEfP5477sjnPpfjx7N5c+67L7/+9XgrfgWO/v83Mzy8TaNtrxdfzKOP5t57c/hwkuzZk29/O7fdNn7ASm/OvRGbdvB2TBbqhw/nYx/LqVPZuDF33pmvfS0bNiz3p9nfOcHDW3DR51tGfxDn7rvz+ON54IF89KPJq3/BZroJHv6XyQdgTpzIo4/mjjvGi/ZXXsnZs1m//tzn4abetP9CghU2WqUPBvnlL/ONb+TYsczO5stfznCYNWuyZs30nLG/FYKHNzC6XF9YyJEjefDB/PjHSbJpU559Nnl1eT9NZ+xvhSU9vJ7JTvvPfpYHHsjBg0ly++355jfziU+s7NDeCTM8vMZolX7kSO6/Pz/9aRYXs3Zt7rorX/1qrrjisticeyOX67hhGQ0GmZ3NY4/l4YeT5NZb84Mf5NZbk8tjK/5NWNLDa0z+S6q9e/OBD+TBB8eRX1b7c69L8PAWTPGb596Wy/vXFSyv8/9m9XuCGR6KmOGhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyP8BlbtqlytLn7AAAAAASUVORK5CYII=", "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', [46.08230401928241, -10.372441150271362, 23.89584851374669])", "action": "('move', [46.08230401928241, -10.372441150271362, 23.89584851374669])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKHElEQVR4nO3dS6zcZeHG8efc2traNimlUBdcGoTaCzHBhURDKktNdOmlG10oiYkLFxggWjASElETdyaywcRYFhoXhpXRncEViYVipfaitopWIAIl1J6Z81/MML1wEf5weqY8n08mJyeTyZx3kn7P+/7ed+Z0ZmlpKUCH2ZUeAHDpCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KzK/0AGDqLC2Nv87MZGZmpUfzrppZGr04KDP5hz8VYY8GsfzM8LRYWjp3m53N7KuXs5PQhsP89785fTqHDuWpp/K732XPnnzxi8s/rNEgLknzguc9a2kpw+H46+xs5ucvCGo4zAsv5IUX8p//5M9/zoEDOXgwTzyRw4czGIwf8/LL+cIXsmrVssU4GGRuLknOns3CwiVoXvC8d0wKH82aCwvjmkbOnMkzz+SZZ/LPf+b48Rw6lKefzqFDOXnygieZn8/CQgaDDIf5/e/z4ou54orlGe7iYubnMxzmhz/MqVPZty9r1ix384LnMjbZXRt9Mzd3QeEvvZSjR3PsWI4ezV/+cu723HMXPMnCQmZnc/ZshsMkWVwc33nDDbnppvETvvsNDoeZn88f/5jvfCf79yfJhz+cz352PNUvG8FzGTh/Z/n89kbfT+75979z8OD4CvzIkfzrXzl1KqdO5fTpC55tbi4zMxkMxk979mySrF2bHTuyfXt27MiNN+bqq7NlS668Mhs3LsOLmZnJ7Gweeijf/W6OHEmST34yt9wyHtxyskvP1JnM2JN5+3Ufs7iYv/0tf/hDnnwyBw7k0KE8/3xOn87p0+OG38hox27z5tx8c3btyu7d2bkzV12Vdeuyfn1WrVqGlzQyWkKMRnD//fnWt5Jk48bce2++8pWsW7dsP/gcMzxT57WHZK+8kpdeyunT+fvf88QTefLJ8dfnnx9ftL+JVavy/vdn3bps2jTOe9eu3Hxztm4dT/UXGW0ETIbx7izml5YyGGR+PkkWFzM7m49/PFu3Ztu2/OhH2b17/Jjl36U3wzN1lpby3HPjBfk//pE//SlPPTVeqJ8/dc/MZG4uw+G5iXNk48Zs3pwtW7JlSz74wfFCfefObNjwZj/x/Kd9l43GNzubAwdy5ZXZunXc9mOPZdeurF9/7mRu+QmeqfPQQ3nkkRw/nqNHL7h/bi7z8xkMxvtqE1ddlWuvzbXX5pprct112bYt11+fbduyevUFDxsMzl3zX7q32UwO3h5+OPv2ZefO/OIXWbv23Hx+qd5yM2JJzxQZ/eN/+un89rdJMjMzPrcaHYwPBuNvrr8+N900vl1zTa6+eny76Gp/tBwYbZCNlgMr8GLm5nLsWO65J488kiTPPpsTJ3LjjUkyHF76t/iZ4Zkio0Z+9at8+tPn7ly9Oh/60HhrbffuXHddNmwY3y4yKXwS+cr7yU+yb1/++tckuf32fP/72bEjq1at1ODM8EydXbty22255Zbx7toNN+R973v9RkZHa5PdteU8wH47RscMJ07knnuyf3+Gw2zalDvvzNe/fvFlxiVnhudyMkppUv5UzOHnW1wcry5efjmf+Ux+85sk2bMn3/tePvKR5FJfsb+WGZ5pNLq8HbnonTZTF/nI6DRvcvC2bl327s3Jk/n853P33VlYGL+hf6VHb4aHd2wyb+/fn099ary7cOZMjh3L9u1JxrVPgakYBFyuJu/ROXkye/fmS1/KffclydJSVq/O9u3jbYbpqD2W9PD/NFrDz81lMMjPf5677srx40ny+OM5cyarV597wDSZll88cJkZnbEfP5477sjnPpfjx7N5c+67L7/+9XgrfgWO/v83Mzy8TaNtrxdfzKOP5t57c/hwkuzZk29/O7fdNn7ASm/OvRGbdvB2TBbqhw/nYx/LqVPZuDF33pmvfS0bNiz3p9nfOcHDW3DR51tGfxDn7rvz+ON54IF89KPJq3/BZroJHv6XyQdgTpzIo4/mjjvGi/ZXXsnZs1m//tzn4abetP9CghU2WqUPBvnlL/ONb+TYsczO5stfznCYNWuyZs30nLG/FYKHNzC6XF9YyJEjefDB/PjHSbJpU559Nnl1eT9NZ+xvhSU9vJ7JTvvPfpYHHsjBg0ly++355jfziU+s7NDeCTM8vMZolX7kSO6/Pz/9aRYXs3Zt7rorX/1qrrjisticeyOX67hhGQ0GmZ3NY4/l4YeT5NZb84Mf5NZbk8tjK/5NWNLDa0z+S6q9e/OBD+TBB8eRX1b7c69L8PAWTPGb596Wy/vXFSyv8/9m9XuCGR6KmOGhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyP8BlbtqlytLn7AAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAITklEQVR4nO3cSazdZR3H4d//DJdASyNCQki6Y8VGFw0yhRaJIrDXnYadBBIK1E6B5jIWB+pAFxYTIiwaiBiEBSvWaJeSYMKQVi2CdEGAHd57zv91ccqlQK1WeofyfZ71Td6z+dx3PKdrrRWQYbDaHwBYOYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHVdbayo0leFg1rVXfV9fVBx/Uhx+uxIiCh9UxnVbX1WBQRw63m26qp5+uqlpcXN5BBQ+rYHGxhsNa+Fc9/uv+2s116FCdc85KjDtaiUGAj82W8eNxvfLneujB9vvnajTqhsPq+5UYXfCwQmaHc11Xw2Htf6zft6/+fnQwHnfV1WShDaqtwIpb8LASptMaDquqjhyprVvrxRe71rrxXC0u1Hnntvsfru9+b9D3NVrmIru2kncCkKe1mk5rNKqPPqqDB2v79nr//RoOazqtqrryiv6x/YPLL1+hDyN4WEaznflgUH95tT3wQPvds4OqGo9rcbEuuqhuu7XfMz9Y7ln9RIKH5bK0jD9woO19qL31djced5NJtVbXX1979tR111VVtVZdt0IfSfBw5i01/PprtXvX9A8vDOvjif2ccb9nfnDbbXXBBbW4WKPRytVegocza+kovqoeP9A/+ODg7XfacNjNduxXXdH/4pfdFVd2VTWZLPsR3ecJHs6YpTX84SO1/e7p8y90rQazo/j16/u776pduwbnnletVWs1WI1Xb4KHM2NxscbjWliogwdr9+46dqxGo5pMqqpdc3U98ki7dvOgVnbH/nmChy9q9nhuOKxXX629e4+/ip/t2Dec32+9o3buHqxb98n8v4oED19I3x9fnP/mQP/TR7vDh7vxuKbT6vvasqXum2/XfbM78c9Wl+Dh/7TU8N/+2rZtq+efr77V3Fy3sFBzc3XPPXX77XXhhTWZ1HC4msv4EwkeTtvSGn4yqYMH285t02PvjYajmk6qqjZt6vfvH1x1VdUqHcWfwhpYZMBZZXbBNhzWkcPtB9/vb7mlO/beaDyu6aRd8JXatb1/+eXjtbe2tmovMzyclqUZ+8mnav7e6dF/DEbjbjqp1trVV/f33zf41re7Wu2j+FMQPPyvZhm/8UbNz9czz1R9fBQ/N+537uzuvLP76oVrbg3/GYKH/+LEx3NPPFF799aRI5983e0bm6Y/+/lg8+ZVezx3WgQPp7J0ef7WW/Wju6bPvTCYTLq5cS0s1njcduzoduyoDRuq9dVqTVy8nZrg4eRaq+mkRuNaXKhnn+23b+/e+Wc3GtV0Wq3Vpk21b19t2VJVx395dm1u2j9D8HASrVXrazCs119rP/5JPflkXzWcm6uFhdpwfvvhrTU/361bdzalPiN4+KylFzVP/bZ/+JF6883BcFStr77vr7mm23NvfefGNfR47rQIHj5llvHRo7VrV3vm6dZqMJvYh12/c1fdsXVw8cVr6/HcaRE8fGJW+yuv1I031rvv1nBU/bRaa1//WvvVY4PZjn3tH8Wfwtm2IoHlNJu0L7mkLr20qmo6qfXra9td7Y9/GmzZUq1qBX5YdlmZ4eFTZvdwhw7VzTfXxo3t0Ue7G26oWsOP506L4OHkXnqpLrusNm5cE99jP1MEDyexNJ9/mWovwcN/MpnUYHD2XbydmuAhyJfr3xdwSoKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8GR7r5V30/DDYAAAAASUVORK5CYII=", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAITklEQVR4nO3cSazdZR3H4d//DJdASyNCQki6Y8VGFw0yhRaJIrDXnYadBBIK1E6B5jIWB+pAFxYTIiwaiBiEBSvWaJeSYMKQVi2CdEGAHd57zv91ccqlQK1WeofyfZ71Td6z+dx3PKdrrRWQYbDaHwBYOYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHVdbayo0leFg1rVXfV9fVBx/Uhx+uxIiCh9UxnVbX1WBQRw63m26qp5+uqlpcXN5BBQ+rYHGxhsNa+Fc9/uv+2s116FCdc85KjDtaiUGAj82W8eNxvfLneujB9vvnajTqhsPq+5UYXfCwQmaHc11Xw2Htf6zft6/+fnQwHnfV1WShDaqtwIpb8LASptMaDquqjhyprVvrxRe71rrxXC0u1Hnntvsfru9+b9D3NVrmIru2kncCkKe1mk5rNKqPPqqDB2v79nr//RoOazqtqrryiv6x/YPLL1+hDyN4WEaznflgUH95tT3wQPvds4OqGo9rcbEuuqhuu7XfMz9Y7ln9RIKH5bK0jD9woO19qL31djced5NJtVbXX1979tR111VVtVZdt0IfSfBw5i01/PprtXvX9A8vDOvjif2ccb9nfnDbbXXBBbW4WKPRytVegocza+kovqoeP9A/+ODg7XfacNjNduxXXdH/4pfdFVd2VTWZLPsR3ecJHs6YpTX84SO1/e7p8y90rQazo/j16/u776pduwbnnletVWs1WI1Xb4KHM2NxscbjWliogwdr9+46dqxGo5pMqqpdc3U98ki7dvOgVnbH/nmChy9q9nhuOKxXX629e4+/ip/t2Dec32+9o3buHqxb98n8v4oED19I3x9fnP/mQP/TR7vDh7vxuKbT6vvasqXum2/XfbM78c9Wl+Dh/7TU8N/+2rZtq+efr77V3Fy3sFBzc3XPPXX77XXhhTWZ1HC4msv4EwkeTtvSGn4yqYMH285t02PvjYajmk6qqjZt6vfvH1x1VdUqHcWfwhpYZMBZZXbBNhzWkcPtB9/vb7mlO/beaDyu6aRd8JXatb1/+eXjtbe2tmovMzyclqUZ+8mnav7e6dF/DEbjbjqp1trVV/f33zf41re7Wu2j+FMQPPyvZhm/8UbNz9czz1R9fBQ/N+537uzuvLP76oVrbg3/GYKH/+LEx3NPPFF799aRI5983e0bm6Y/+/lg8+ZVezx3WgQPp7J0ef7WW/Wju6bPvTCYTLq5cS0s1njcduzoduyoDRuq9dVqTVy8nZrg4eRaq+mkRuNaXKhnn+23b+/e+Wc3GtV0Wq3Vpk21b19t2VJVx395dm1u2j9D8HASrVXrazCs119rP/5JPflkXzWcm6uFhdpwfvvhrTU/361bdzalPiN4+KylFzVP/bZ/+JF6883BcFStr77vr7mm23NvfefGNfR47rQIHj5llvHRo7VrV3vm6dZqMJvYh12/c1fdsXVw8cVr6/HcaRE8fGJW+yuv1I031rvv1nBU/bRaa1//WvvVY4PZjn3tH8Wfwtm2IoHlNJu0L7mkLr20qmo6qfXra9td7Y9/GmzZUq1qBX5YdlmZ4eFTZvdwhw7VzTfXxo3t0Ue7G26oWsOP506L4OHkXnqpLrusNm5cE99jP1MEDyexNJ9/mWovwcN/MpnUYHD2XbydmuAhyJfr3xdwSoKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8GR7r5V30/DDYAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAITklEQVR4nO3cSazdZR3H4d//DJdASyNCQki6Y8VGFw0yhRaJIrDXnYadBBIK1E6B5jIWB+pAFxYTIiwaiBiEBSvWaJeSYMKQVi2CdEGAHd57zv91ccqlQK1WeofyfZ71Td6z+dx3PKdrrRWQYbDaHwBYOYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHVdbayo0leFg1rVXfV9fVBx/Uhx+uxIiCh9UxnVbX1WBQRw63m26qp5+uqlpcXN5BBQ+rYHGxhsNa+Fc9/uv+2s116FCdc85KjDtaiUGAj82W8eNxvfLneujB9vvnajTqhsPq+5UYXfCwQmaHc11Xw2Htf6zft6/+fnQwHnfV1WShDaqtwIpb8LASptMaDquqjhyprVvrxRe71rrxXC0u1Hnntvsfru9+b9D3NVrmIru2kncCkKe1mk5rNKqPPqqDB2v79nr//RoOazqtqrryiv6x/YPLL1+hDyN4WEaznflgUH95tT3wQPvds4OqGo9rcbEuuqhuu7XfMz9Y7ln9RIKH5bK0jD9woO19qL31djced5NJtVbXX1979tR111VVtVZdt0IfSfBw5i01/PprtXvX9A8vDOvjif2ccb9nfnDbbXXBBbW4WKPRytVegocza+kovqoeP9A/+ODg7XfacNjNduxXXdH/4pfdFVd2VTWZLPsR3ecJHs6YpTX84SO1/e7p8y90rQazo/j16/u776pduwbnnletVWs1WI1Xb4KHM2NxscbjWliogwdr9+46dqxGo5pMqqpdc3U98ki7dvOgVnbH/nmChy9q9nhuOKxXX629e4+/ip/t2Dec32+9o3buHqxb98n8v4oED19I3x9fnP/mQP/TR7vDh7vxuKbT6vvasqXum2/XfbM78c9Wl+Dh/7TU8N/+2rZtq+efr77V3Fy3sFBzc3XPPXX77XXhhTWZ1HC4msv4EwkeTtvSGn4yqYMH285t02PvjYajmk6qqjZt6vfvH1x1VdUqHcWfwhpYZMBZZXbBNhzWkcPtB9/vb7mlO/beaDyu6aRd8JXatb1/+eXjtbe2tmovMzyclqUZ+8mnav7e6dF/DEbjbjqp1trVV/f33zf41re7Wu2j+FMQPPyvZhm/8UbNz9czz1R9fBQ/N+537uzuvLP76oVrbg3/GYKH/+LEx3NPPFF799aRI5983e0bm6Y/+/lg8+ZVezx3WgQPp7J0ef7WW/Wju6bPvTCYTLq5cS0s1njcduzoduyoDRuq9dVqTVy8nZrg4eRaq+mkRuNaXKhnn+23b+/e+Wc3GtV0Wq3Vpk21b19t2VJVx395dm1u2j9D8HASrVXrazCs119rP/5JPflkXzWcm6uFhdpwfvvhrTU/361bdzalPiN4+KylFzVP/bZ/+JF6883BcFStr77vr7mm23NvfefGNfR47rQIHj5llvHRo7VrV3vm6dZqMJvYh12/c1fdsXVw8cVr6/HcaRE8fGJW+yuv1I031rvv1nBU/bRaa1//WvvVY4PZjn3tH8Wfwtm2IoHlNJu0L7mkLr20qmo6qfXra9td7Y9/GmzZUq1qBX5YdlmZ4eFTZvdwhw7VzTfXxo3t0Ue7G26oWsOP506L4OHkXnqpLrusNm5cE99jP1MEDyexNJ9/mWovwcN/MpnUYHD2XbydmuAhyJfr3xdwSoKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8GR7r5V30/DDYAAAAASUVORK5CYII=", "image_next": "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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": "05201df50d5e7a4f146c0c52a0f716898acdf054fe922c0052760dc71b00379b"} +{"episode": 8262, "episode_seed": 416952223, "split": "train", "timestamp": "2025-09-15T22:48:42.114645", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 416952223, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.717250016361135, 7.29978728208275, -25.836899963784486])", "action": "('move', [11.717250016361135, 7.29978728208275, -25.836899963784486])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALRElEQVR4nO3dXYhUdQPH8d85Mzu6vRhSVFRWwpMXheiViWUgYbRZZi+7mIZsFClb0hpWF5oREXWhabtStutLpospgYTmVhRF2IaVm0ZFZBtJF9GiQUq7jvNynosz7RYPPc/jNq/7+34uRHbm4jCc7/z/53/+MxNEUSQAHsJKHwCA8iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgke55PPK5yt9EO4IHuUShgpDZbOVPg5rBI/SiyJJOnpUR44omVQUFf6CsiN4lFgUKQh08qQef1wNDWpvl6QgKDxE+eUVRLziKKl8XmGoQ4c0fbrSaUm69lo99ZRuukmJhPTHOwLKghEeJRaGiiJNmaL9+9XQoFRKBw7ollu0YIF6eyVRezkxwqO8duzQ+vXq6ZGks87SkiVasULjxw8/gf5LieBRLlGkfF6JhE6c0JYt6ujQN9/ooov02WeaMKEw8xcz/NIieJRXNqtkUpL6+vTKK7r+es2dW4j85581frzGjpXIvlQIHmUX78CJs4+34oShjh5VU5NSKa1Zo2nThp8ZssxUTLyaKLswVDI5nHo8kvf06NNPtX+/Zs7U4sX6/vvCo2zUKSpGeFRaPHtPp7V5szo6dOiQJJ1/vpYv1/z5uvLKyh7dKEPwqA5x9v39evllbdmio0claepULVmi5malUhIL+EVA8KgaQ+t5X36pTZu0caMGBtTQoDffVF3d8NNYz/sHCB7VZGg9L4p04IBWr9ayZbruOknK5TQwoHPPlf7Yk8t63pkjeFSfXK6w6zb+T/xvT4+amzVnjp54QhdfLEnZrBIJRvszwnskqk8iURjD4+zjkfydd3TkiNat07Rpeukl9fcX5v+5XCUPtdYwwqPqxafot9+qs1PbtunYMUm64QYtWaL58xUEXNX//wgetWAo6Z4edXRo69bC32+7TUuXavbsCh5abWFKj1oQBMrnlc1qxgx1dOjddzVzpiTt2aNPPvnLM/mM/X/FCI+aMrSeNzioHTv06qvavFn/+peiSLmcTp3SOedIrOf9LYJHrfnPe3LxlvuuLq1Zo+XLNWeOzjtveOsu/oSXA7UmCIY/SBv/G4ZKp7V9u774QgsXasECdXcXvjOT8eyvCB41K56xD83bW1t1112StG+f5s7VwoU6fFgS3439Z0zpMYr8/ru6u/X88zp4UJLee0833ji8YxcEj9FjKOzfflNbmwYG9Oyzw7t3IIngMaqwx/5/IXiMOmy8+3u8F2LUofa/R/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgh+KqTz4uf8EaJJCt9APiLKFLImzBKhpOriuTzCgIdOaLBQUmM8yg+gq8WuZzCUJ9/roYGLV6sbFZBUOljwqjDlL4q5HJKJPTdd7rvPvX1qa9Px4/rjTdUX1/pI8Powghfefm8Egn98ovuv19ffaVUSpL6+3XypMTEHkUVRJxQFRVFCgKdOKH589XdrWRS2ayuuUZvv63LLis8ChQLI3wlRZGiSKdPq6VF3d2qq1M2q0mTtGsXtaMkCL5i4p7DUI89pq4ujR2rTEaXXqqNG3X11crlqB3FR/CVEUXK5yXp6afV1qZUSqdOadw4rV+vmTOVySiRqPQhYjTiGr4yMhnV1WndOi1bpjBUFCmRUGenmpuVzSrJzROUBsFXQHwT7rXX1NwsSYmEslmtXavWVq7bUVpM6cstvgm3d69aWiQpDJXNauVKtbZy3Y6SY4Qvq3i6/sEHamzU8eNKJJTL6aGH1NamfJ6ZPEqO4Msnrr23V42N+uEHjRmjdFr33qstW5RI8LEZlAPBl0l83d7Xp6Ym9faqvl6Dg7r1Vr3+us4+u/AoUGoEXw7xUtzx47r7bn34oVIpnT6tGTO0e7cuvFD5PGM7yoTgSy5+gQcG1NSkffuGN8/u2aOJE1mWR1kxspTW0Nvp4sXat6+weXbiRHV1aeLEwgfggbIh+BKKaw8CPfKIuro0ZowyGV1wgTZt0pQpymaZyaPcOONKJYoK99VXrVJ7u5JJpdOqr9eGDZo1S5kMN+FQAVzDl0QUKZtVXZ3WrtWjjxY+JBMEbJ5FhRF8ScS32bZv1wMPFD4Jk8kUNs+yJo8K4tQrvviTMN3dWrpU6bQkZTJ68km1tnLdjgpjhC+yeGzv6dEdd6i/X3V1ymT08MNqa2MvHSqP4Isprv3rr3X77err09ixOnVKixaps1OpFLfcUXkEXzTxxflPP2nePPX2FmqfM0fbtmn8eC7dURUIvjiGNs/eeac++qgwk58+Xbt2acIEake1IPgiiF/CwUE1Ng5vnp00SXv36qqrqB1VhDOxCIJAQaAHHxzePHvJJdq5k9pRdTgZ/5H4e6YlLV2qrq7CTH7cOG3frqlTuQmHqsP5OHLx5tko0qpVWr9eYahcTvX12rpVs2Ypl2M7HaoOp+QIxbUnk2pv13PPKQyVSCgItGGD5s1jJo8qRfAjEc/kk0nt3KkVKwpb6zIZvfCCFi3i62tQvVilH4n4Jtz776upSb/+qjBUPq+VK/XMM4VffWaDDaoTwZ+xuPaDB3XzzTp2rLBQ19Ki9vbCcj1QtbjQPDPxd9QcPqzGRh07VvhOi3vu0erVXLSjBnCSnpn4B+E+/lg//qhEQum0Zs/Wiy+qvp6fkUANYEo/Qp2damnR5MnavVtXXMFCHWoDwY9EfNftrbd0+eWaPJnaUTMIfoSGIueWO2oIwY9cfNFO7aghBA8YYXgCjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIvwHaVUgyRIHoQAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.717250016361135, 7.29978728208275, -25.836899963784486])", "action": "('move', [11.717250016361135, 7.29978728208275, -25.836899963784486])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.717250016361135, 7.29978728208275, -25.836899963784486])", "action": "('move', [11.717250016361135, 7.29978728208275, -25.836899963784486])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJFElEQVR4nO3dPYhdZQLG8WdukjFmkoxZC7UQLMRW2UKX7LrNskIM2ggi2tiZRlCR3WKLrQSLDYjKykZXV1SsRVAUS4n4/VGI4AekURA1iTqTjJmZu8W9ziQmGkVzk8nz+3G4nLlzMzkM+Z/3PeeeezI1HA4DdBic7g0AJkfwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwTMrycpaXT/dGtBM8kzIYZDDI4uLp3o5qgufUGw6TZN++fPhh1q/PcDh+hokTPKfYcJipqXzzTf72t+zYkQceSJKpqfG3lD9ZU0O/cU6p5eUMBnnnnfzhD1lYSJKrrso//5lrrsm6dcn3ewQmwgjPKTYYZDjM5Zfn5ZezY0emp/Pqq7n22tx8c956K4naJ8kIz2Q9/XQefDB79ybJpk3ZtSv/+Ee2bVt9gf5PJcEzKcNhlpezbl2+/jqPPZY9e/L++7nggrz+ei6+eDzzjxn+qSV4JmtxMevXJ8nHH+c//8mf/pTrrx9H/tln2bYtGzcmsj9VBM/Eja7AGWU/uhRnMMi+fbnxxkxPZ/fuXHnl6isHTjP9lvw2mbjBIOvXr6Y+Gsn37s1rr+Xll3P11bnttnz00fi7LtT5TRnhOd1Gs/eFhTz6aPbsyTvvJMn55+fuu3PTTbnkktO7dWcZwXNmGGX/+ed56KE89lj27UuSK67Irl259dZMTydO4P8GBM8ZY+V83nvv5b//zSOPZH4+O3bkmWeyYcPqy5zP+xUEz5lk5XzecJhXX82//pU778wf/5gkS0uZn8+WLcn31+Q6n/fLCZ4zz9LS+Krb0croce/e3Hprdu7M3/+eCy9MksXFrFtntP9F7CM586xbNx7DR9mPRvIXXsiHH+a++3Lllfn3v/P55+P5/9LS6dzUtcYIzxlv9E/0gw/y8MN54ol88UWS/PnP2bUrN92UqSlH9T+f4FkLVpLeuzd79uTxx8fPX3ddbr89f/3rady0tcWUnrVgairLy1lczPbt2bMnL76Yq69OkmefzSuvHPNKn7H/SUZ41pSV83mHDuXpp/O//+XRR3PppRkOs7SUw4ezeXPifN6PEjxrzfHvyY0uuX/qqezenbvvzs6dmZ1dvXSXo/h1sNZMTa1+kHb0OBhkYSFPPpm3384tt+Tmm/P88+N7ZhrPjiV41qzRjH1l3n7HHbnhhiR57rlcf31uuSXvvpvEvbGPZkrPWWRuLs8/n3vvzZtvJslLL+Uvf1m9YhfBc/ZYCfvgwdx/f+bnc889q1fvkETwnFVcY38ygues48K7H2dfyFlH7T9O8FDE2cs6o7tFHz3tPX4lhsmzlGN4TmB0H4rRG9hHv9v9Y4+sFYIvMhrVv/gir72WwSAzMznnnGzcOH5cWc455+f+wKP3C/nJnYL9whnClL7I6P99eeON7NyZJFNT2bQpW7ZkZiZbtmTz5vGysr5lSzZtyubNmZnJzMwxK6P1jRt/7ltgx+8X8v2OwL5gkgRfZ34+s7OZm8vycubmMjd38j8yNZVzzx0vGzeeYGXr1mzdmtnZY1ZWvty6NZs2eXf8jCD4IqOjt/378+23v+zGUMNh5uczP3/yVw4G2bDhmGX9+mzYkOnpTE9ndjazs9m2Leedl9/9Lueem+3bs327QX5yHMMXGR3DHziQTz7J/v3Zvz8HDpzg8auvMjeXpaUsLmZp6YfLb/VRlA0bcuRI7roru3evbhunmhG+yKio887L739/8hcfOpQDB3LwYA4ezIEDx6yPVvbvz9xcFhbGy3ffra6PvvzpScSRI0kyM5OofYIE3+iEs7qjn1w5aL/oopP/tMOH8+23+eabHy5ffz1+fnSmYG5ufFwwWl9czKef5oILxn+14CfDlJ4TW7m7xPFfrjyObkXx8z+NtrCQQ4fG2R8+nC+/zGWX5aKLBD85gudXOeGOIMftL0b7BVWfdoJnEn4wU8j3n2S1F5gwwUMRF0NAEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkf8DcEFrq1zNSzIAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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": "2fee081f50e8ad3a76d465ae5817c88d74b63476dc957e09214f3eff23e58b73"} +{"episode": 8263, "episode_seed": 643597152, "split": "train", "timestamp": "2025-09-15T22:48:42.724686", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 643597152, "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', [1.9679991929108789, 14.556956931641343, 3.7675839238801907])", "action": "('move', [1.9679991929108789, 14.556956931641343, 3.7675839238801907])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJEklEQVR4nO3bT6jldf3H8df5c4eYVi2MHLBNUjKzaBUVTGhFQQqR0QgVGJE1hDFElItahiEY/WFcNJlN6CpSKbKMgcJFC5lJoSiiIGQC8dLCbBDFO/ec0+Kcn7821fy933N6PR7cxeXMXXw2z/P+fD7f74wWi0WADuOhFwDsHcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkf+V4BeLoVcAG2DDg192/sorGY2GXgpsgE0Ofnc3o1FOnMj73pff/jbzuTkP/9losaGRzOcZj/PLX+a22/L88/noR3PyZPbtS2Law7+zmcEvFhmN8sc/5gMfyNmzuf76/PjHOXRo9S0A/BsbmMd8ntEo29u5/facPZvXvz733692uBCbVshikfE458/n6NH85jfZvz/33pubbsr582qH/2qjIlkssljk3Ll89rP56U+T5Ctfye23Zz7P1tbQi4MNsFFn+Nksk0mefjrveU/+8Y/ceWfuu2/oNcEm2ZzgF4vVKX00ymOP5Wc/yze+kde8JnEtDxdqc4J/1auXc27p4CJtQjCzWZI8/XSOH19d2s3naodLMB16Af/NfJ7JJH/7Wz7zmTz1VP7yl3zrW4ltPFyK9R6Sy0fuL76YT3wiTz2V6TRvfevqnwQPF2+NJ/zyIdxslmPH8otfJMndd+eTn1zt6oGLt97lTCb52tdy8mSSfO5zueuuzGZmO1yydb2lX74t/4Mf5OjR7OzkyJE89FC2tjIaCR4u2VoGv7yBP3MmN96Yl1/Ou96VRx7JNde4mYfLtH79LI/uSQ4dyoc/nEOH8p3v5JprMpupHS7TWk74/MtLNX/+c978ZrMdroh1Cn55bn/hhWxv54YbVs/kRqPV58BlW5uxuax6Ps8XvpCbb87jj69SX2YPXAlrE/zSV7+akyfzzDN58snVeFc7XDnrsaXf3c10mgceyNGjmc3y8Y/nxIns3+8dG7iy1iD4Ze2nTuXIkZw7l8OH86Mf5Q1vcFEHV9zQwS+r/t3vcvPNefbZXH99Hnssb3mL2uFqGDSq5UXdH/6Q227Ls8/mda/Lgw+qHa6eNQj+pZfy979nPM4DD+Sd7/SCDVw9Q2/plwf4X/8629v5yEc8coeraujggT009Jb+xRdXv/jegatv0OBffjlf/3oSO3nYG4Nu6Wez/OlPOXhwsAVAGWd4KDL0AzBfN7CHhg7e0R320NDBA3tI8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk84JfLIZeAWysTQp+Pk+S0WjodcDG2pjgZ7OMxzl3LqdPZ7FY/QAXZTOCP38+k0meey533pl3vCM//GFGo9XABy7caLHeg3KxyHyeySRPPpljx3LmTKbTHDiQBx/MjTdmsbDDh4uw1hN+2fNkkoceyq235syZ7NuX3d1sb+eFF1Z/AFy49Q1+Ps9olJ2d3HVX7rgj29vZ2srOTt70pjz+eD74wdUfABduHbf0ywu58Th//Ws+/emcOpXxePXh+9+f730v11039BJhM63dhF9exY3HeeKJ3HRTTp3KdJr5PFtb+fzn8/Of57rr7OThEq1X8Mtnb0mOH88tt+SZZ1aH9muvzYkT+eY3M5m4qINLt0Zb+vk843Gefz5f+lK+//2MRplOc/583va2HD+et7999XWgdrhkaxH8q0P797/Ppz6V06cznWZ3N0k+9rHce28OHMjubiYTtcNlGX5L/+pl+yOP5L3vzenT2dpa5X3PPTl5clX7dKp2uFwDT/hlyS+9lHvuyd13Zz7Pvn3Z2cmBA/nud3PLLcn/bfWByzf8lv7s2Xzxi3n44YzHGY+zu5t3vzv33ZeDB1fD32CHK2Xg0fnEE7n11jz8cLa2slhkdzfHjuXRR3PwoCs6uPKGnPC7u3njG/Pcc6tt/P79+fa3c8cdSTKbZTIZal3wP2vI4F95Ja99bZLMZrnhhtx/fw4f/v/X7IArbsiwxuNMp5nN8qEP5Ve/yuHDmc1WnwNXw5BtLa/fv/zlPPporr129d9gHdrh6hlyS7+zk5/8JEeOrN6NlzpcbcM/lnM/B3tm4OPy8o06YG8MP+GBPeNCHIoIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8E6U+N0FUoQJ3AAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJaklEQVR4nO3dTYjcdwHH4e/s7CaxaMFDVXqOLzSCiHhQKlVRMAVBqlsICRHFJIhFoViFehKpiEYRbMEqIcVeiiXFaMQiVC89CJqApSIWVKIWgsWqNZhkd2fWwwzFi9pNsjszfp/ntOzu4Xf5zO/tPzODzc3NAB2WZj0AYOcIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8vwS/uTnrEcACWPDgJ51fuZLBYNZDgQWwyMFvbGQwyIMP5r3vzS9/mfHYPA//3WBzQSMZj7O0lCeeyJ135vnnc+BATp7Mrl1JzPbwnyxm8JubGQzy619n//6cP5+9e/O972XfvumrAPAfLGAe43EGg1y4kMOHc/58XvWqfPvbaoeXYtEK2dzM0lLW13PsWH7xi9xwQ77ylbzznVlfVzv8TwsVyeZmNjfzwgv5+Mfzgx8kyec+l8OHMx5nZWXWg4MFsFB7+NEow2HOncu7352//z2f+ETuv3/WY4JFsjjBb25Od+mDQc6cyQ9/mK99LXv2JI7l4aVanOBf9OLhnFM62KJFCGY0SpJz5/KNb0wP7cZjtcNVWJ71AP6X8TjDYf785xw9mrNn89vf5utfTyzj4WrM9yQ5uXK/eDEf/nDOns3yct70pumfBA9bN8cz/OQSbjTKJz+Zxx9Pkvvuy0c+Ml3VA1s33+UMh/niF3PyZJLcdVc+85mMRuZ2uGrzeko/eVr+oYdy7FjW1rK6mocfzspKBgPBw1Wby+AnJ/A//3luuy2XLuUd78ipU7npJifzcI3mr5/J1j3Jvn25447s25dvfjM33ZTRSO1wjeZyhs+/PVTzzDN53evM7XBdzFPwk3373/6WCxfyhjdM7+QGg+nvgWs2N9PmpOrxOHffndtvz49+NE19kj1wPcxN8BNf+EJOnszvf5+f/Ww6vasdrp/5WNJvbGR5OSdO5NixjEY5eDAPPpgbbvCMDVxfcxD8pPYf/zirq3nhhdx6ax59NK95jYM6uO5mHfyk6qeeyu2359lns3dvzpzJ61+vdtgOM41qclD3q1/lzjvz7LN55Svzne+oHbbPHAT/z3/mr3/N0lJOnMjb3uYBG9g+s17STzbwTz6ZCxfyoQ+5codtNevggR006yX9xYvTH7zuwPabafCXLuX48SRW8rAzZrqkH43ym9/klltmNgAoYw8PRWZ9AeblBnbQrIO3dYcdNOvggR0keCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCiykMFPvoHKG+1gq5ZnPYAtm3w6zuRddj4pB7ZkwWb4yVdLjkY5cSJ//KPaYWsWKfhJ7Zcv59Ofzsc+liNHcunSrMcEC2VhPuJqsnr/xz9y9GgeeSS7d+fKlayu5rvftbCHl2ox9vCT75567rkcOJAnnsjKSq5cyWCQt7511iODhbIAwY9GGQ7zu99ldTXnzmVlJevrednL8q1v5dChxMdkwUs273v4jY0Mhzl7Nvv359y57NqV9fW8+tU5dSqHDrmZg62Z3+A3NzMaZXk5jz+eD3wgzzyTXbuytpa9e/PYY9m/P6PRrIcIi2Z+g08yHObhh3PwYP70pywvZ20tb35zTp/O298+nfkt5mFL5jH4yUJ9MMjx4zl2LM8/n+EwGxt5z3ty5kxuuWX6lbPAVs1d8C8+WvPZz+aee3LpUpaXMxrlwIGcOpWbb1Y7XL35Cn40ytJSLl7MkSP58pczGGR5ORsb+dSn8tBDufHGjMdqh6s3R/WMxxkO89xzOXIkp09neXn6Jpn77su9907/YWm+XqBgwczLk3aTp+XOn8+hQ3nyyell+8pK7r8/R49O1/mO6OAazcUMP5m6n3oqBw/m6aentb/iFTl5Mh/84HSdr3a4djNeIk8u25eW8tOf5v3vz9NPZ8+erK/n5ptz+rTa4TqbZfCT2ofDPPpoVlfzhz9kz55cvpw3vjHf/37e9a7pX9UO18uMZ/jl5TzwQA4fzl/+kt27c/lybrstjz2Wt7xlWjtwHc0s+MlZ4ec/n7vuyuXLGQ5z5UruuCOPPJLXvlbtsC1meUq/vp49e6Y/j8c5ejRf/Wpe/nLXb7BdZryH370743HG49x7bx54QO2wvWZ5Lbe0lLW1rKzkS1/K3XcnHq2BbTbL4Dc2cuONOX48H/3odEuvdthWs9zDr63lJz/J+95nYocdMvtHa737DXbMjCfWyWfaADtj9jM8sGNsnaGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIvwDeclJXhkYxPgAAAABJRU5ErkJggg==", "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', [1.9679991929108789, 14.556956931641343, 3.7675839238801907])", "action": "('move', [1.9679991929108789, 14.556956931641343, 3.7675839238801907])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.9679991929108789, 14.556956931641343, 3.7675839238801907])", "action": "('move', [1.9679991929108789, 14.556956931641343, 3.7675839238801907])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH/UlEQVR4nO3dz49dZR3H8e8599KZTMIYXZgUIglrg0b5A5SExNICgi4IoI1AalGD2gTUQNS40aVSkBbSmAi0UVIKGFzogtJdDexRNxC2ElIk0enMvedxcYnGRTH9Mb33+nm9VpPM4j6zeM/zPc85Z6ZrrRWQoZ/3AoDLR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5P8h+Om0ptN5LwKWQddam/caLkpr1XX/9QVwLku8w7f2QeSHD9ehQ//JHjiX8bwXcOGm0xqP6+WX64EHWmvdmTN14ECtrs57WbDAlnWkH4bq+3r9tXbTrvbOu33f1zDUCy/UbbeZ7eGclnKkb636vt5+u/Z+td55tx+PaxiGr9xdu3dXldrhnJZvh5+t98yZ+vKX2slXu/G4JpN2w+emL/1udOV6Z3uHD7FkO/wwVFUNrQ58t518tVtdrcmkffYz7Zmj4yvXu2FQO3yYZQr+38fyP/rh8Oun28pKbWzUNZ/onnqqv/rqmkyqX6afBuZgmUb6yaTG43r8seGBb7fRaDQMtbZWx462W7/Yzb4FfLilCX52LP/ii3XHHW1zqxuPazpph37Z9n+jn30L+J+WI5TZsfzrr9f+/bW52Y36mmwND/9A7XB+lmCHnyX95pu1Z0+98UaNxzWZ1Nf2Dkd+1VfVaDTv9cHyWPTgZ7X//b26/fbhlZP96mptbNSePfXcc7W25hkbOD8LPQ0PQ3VV02l965vTV052s9qvv76eeKLW1mo6VTucn8UNvrWaTqu6+v5D02ePdaNxt7FRV13VDj3RrrmmJhPDPJy3xR3pp9MajergL4bvHKi+76tqdaUdP1437e4c1MGFWdDgZxfnL73Y7rqrNs52VTUM0yNPdfft62e/CIALsIgb5ezi/PTp2rev+8c/u66vYRh+8uPuvn29SR4uxsLt8LMN/K23avdNwxt/7ldW6uzZtn9/HT7czVbqoA4u2GIFP7s4f//9uuWWOnWqZsfyN99cR4/W+nq5dIeLtEABzd6N2dioe++tU6dqPK6Njfr0p+rgwba+XsNU7XCxFuWNk1nto1H73oN1/Hg3GtVkUjt31jPP1rXXdsNQvUt3uGgLtGn2fR18tH7+aI3HNZ3W6mo9/XRdd11N7e1wiSxESZNJdV2dOFEPPtRVdW2oqumTT7Ybb/SADVxK8w9+9ir7n063/V8ftrZqx45q1X72037v3q41tcOlNOdT+g9uwr3Zdu0a/vLXfmWlO3u27r+/Hn/8g9tvhnm4hOYZ/OyT3/lbu/Xm4fRr/WjcTSe16wvt2LFa/0jXdWqHS2xuwc8+dnOz3X1Xe/5EP76iJlt13SeHP/yx23mVp+VhW8ztttxsYn/44e75E90VV9TWVu38+PQ3v+3VDttnniP95matrdUwVGu1tjb8/uXu8zd03o2B7TPnB29me/vKSh050n/+hnIsD9tqnqNz19Uw1DDUI4/UnXf6H++w7eY50s/uut9zTx06VKNRjUbehIPtNc+RfnOzbtkzPPZYv2NHlfdeYfvNc4cfhnrvTH30Y/74LFwm838fXu1w2cz/frfa4bKZf/DAZSN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIvlaTPVHHXvDQAAAAASUVORK5CYII=", "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": "e54d96b4e4654b3329909c432390f74c42eea5ed53f1d0fff570dd34d72ad2d9"} +{"episode": 8264, "episode_seed": 1055482486, "split": "train", "timestamp": "2025-09-15T22:48:43.662391", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1055482486, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-21.041544155107594, 60.7269290702977, -44.720234432943904])", "action": "('move', [-21.041544155107594, 60.7269290702977, -44.720234432943904])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-21.041544155107594, 60.7269290702977, -44.720234432943904])", "action": "('move', [-21.041544155107594, 60.7269290702977, -44.720234432943904])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPklEQVR4nO3dT29U593H4e+MxyZQkkCBJAgKNCEEQxIMqlqJZaWq6lvooi+gXXTdTaUsu0DqplIWrSr1hXTdRcOfAgkCl6RtMJDGzT9AKR7P6eIcmaZPnvaRHo/P1L/rWtlHln3bms/c97l9Zs6gaZoANQz7HgCwdQQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQy6nsA09c0WV9PksEgw2EGg74HBL0ZNE3T9xi23MavLH6K2dYz/GSS4TDLy/nZz7J7d86dy6lTWVzMrl1f/vVN0z0XtE8Eng7YdmoE/8tfdkcWFvKVr+TFF3PmTF57Ld/5Tk6fTtM8KfyfI19fz2SSubkM7XSwTWzr4Nt69+/Pd7+bDz7I6mpWV/PRR3nrrbz1VpJcuJDTp7uq33wzTz+dV17Jnj3Zsyd792ZuLnNzX/iG6+vds4O9AP47VTqHX17OrVu5eTO3buX997Oykp//POfPJ8n9+3nppTx8mCRHjuT48Rw/nhMn8vzzOXv2C6uADWtrSbry/2VpALOqQPBNk/H4S1bmd+5k//4sLGQwyO3b+clPculSlpfzL3+QH/4wv/hF1tYyGuW3v83qak6dyksvZefOf/cT9c9M2tZL+tZgkPn5NE0mk0wm3c7caJRDh558zbFjefPNfPhh/va3rKzknXfyzju5cSNXruTAge6bjMd544387nd54YXs35/nn8/iYk6fzuJiFhezd+8XfuKGf94FhL4VmOG/VJv9v1mKP36cR4/y4EGefjrPPpskn3+epaXcvt0t5jfs3JnvfS+//nWeeSZJ7t7N55/nhRcyP59RgedT/qtUfUT+z9Tbp4CNPbmFhSwsZM+eJ1/w1FO5ejXLy7l+Pdeu5erV3LyZzz7LvXs5cCC7dnWT+YULuXAhJ07k5Mm8+mpOn843vpGXX+5+KPSq6gz/H/0fL855//38/vf5+tdz5kySPH6cH/3oyX8BW9//fn7zm24HQfP0quoM/x/9b2VuLASaJsNhDh/O4cPd8cEgc3P58Y/z7W/nzp28917u3MnFizl/PnNzGY+t8OmdGf7/p90IHA6//OKcTz/Nn//cbfLZumcGCH6zTSbda3VcosfsEfzUtH/Ydv43tzMbBA+FWHNCIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwc+opul7BGxHgp9Rg0HfI2A7GvU9ADqTSYbDrKzkwoWMRjl/Pt/8Zg4e7HtYbC+CnxXtGv727fzqV/nkkyT56U/zxhtZX8/cXL9DY/uwpJ8Vk0mS/OlP+eSTDIfZuTPf+lZibc+mEvysGA6T5N13k6RpMhplaenJcdgUHk0zoWkyN5fHj3PrVvfpgQM5eNBePZtM8DOhDXt1NTdudEeWlizm2XyCnyEffpibN7vOz57tezRsR4KfCe0Mf+9ePv44o1EieKZD8DOh3ZnbWM8nee21vsbCdib4mTAYZDzOH/6QJONxjh7N3r3dcdhEgu9fu55/9KgLvmly7lx27Oh3UGxPgp8VDx/m+vXuorozZ7Kw0PeA2I4EPyv+8pc8fNjt2LUn8P4Jz6YTfP/aE/WLF5NkPM5olBdfTATPFAh+Vly+nCTr6zl2rNuxg00n+FnRzvBJTp3Kvn2JLXqmQPAz4dGj3LjRFX7yZHbvtp5nKgTfszbsa9fy9793l9+cOJEk6+tmeDaf4HvWvgz+ypWMx1lfz44dOXKk7zGxfQl+Jly+3JV/5EgOH068DJ7p8LDqWbukv3Kl+/To0Xzta4kdO6ZD8H1q39nms89y71535OjR7N6d8VjwTIXg+9Qu499+O59+2h05fvzJcdh0gu9Tu55/++18/HGS7NrVbdE7gWdKPLL61M7k169nbS1JnntO8EyXR1ZvmqYLe3m5O7JvX155JZOJE3imRfC9aXfsVlezstIdOXQo8/MuuWGKBN+bjVvN3L2bJINBXn21+wCmRPC92Qj+/v0k2bEjr7+eCJ5pEnxv2uDffbfbsXvqqS54O3ZMjwdXP9oT+CR//GN3ZPfuvPxymsYMzxQJvh9t2KurT7boT57MaORVsUyX4Pt0925u3uw+PncucQLPlAm+H+1Mfv9+VlYyHGYwcKsZtoLg+9HO5O3NoefmuveijxmeKRN8D9pr7CaTXLuWJONx9u3LoUN9D4sCBN+bBw+64JsmZ8+68wRbQfC9efAgV692Hy8tZX6+19FQg+B789e/5oMPsrCQwSBLS32PhhoE35t2PZ+kabK4mHjfC6ZP8D1ot+IvXUqStbU895w7T7BFBN+PpunuLdU0ef31PPtsz+OhCMH3Y20tly93U/qpU4Jniwh+q228SO6jj7q7wS8uZjDwvhdshVHfAyjq4sWu9vn5HDuWuDk0W8IMv9U23ql2bS1ra3nmmRw8mHgZPFti0JhZ+nDnTt57L5cuZTzOD36Qr37VK+HZCoKHQqwj+9E0LrOhB2Z4KMQMD4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyH/AMuhLImEhGBcAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-21.041544155107594, 60.7269290702977, -44.720234432943904])", "action": "('move', [-21.041544155107594, 60.7269290702977, -44.720234432943904])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "711c556d470591dae106be74901cf7527dd25eee3667a720cb52027032e23b8c"} +{"episode": 8265, "episode_seed": 2685551200, "split": "train", "timestamp": "2025-09-15T22:48:44.267955", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2685551200, "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', [15.33356269172941, 33.95169827039895, -18.6712670428806])", "action": "('move', [15.33356269172941, 33.95169827039895, -18.6712670428806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [15.33356269172941, 33.95169827039895, -18.6712670428806])", "action": "('move', [15.33356269172941, 33.95169827039895, -18.6712670428806])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALC0lEQVR4nO3cXWiVdQDH8d9zztmZbzGzadOLJomisMoXlIQuxCBIyJRclEYiVEwRRm9XQVGQFyH5Ct1YNMuZehGEFHSTWFSGOrGJoebMnEGpc6DtbOfl6eJ52lRmvjR3ztnv+7kS9zif8ex7/i/PeU4QhqEAeEgU+wQADB6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8/Yah8XoVCsc+jCFLFPgFgsBQKCkOFoRIJJZPFPpviYISHgTCUFHeeSimRUEuLTp+W5DbOM8JjSIiS7g37GkGgri7t368DB/TTT/r1V50+rZde0ttvK5/v5/ihi+BRzgqFeIhOpSQpCPq+FIYKAmUyWrNG33yjo0fV2alcru+AEyeUy6miIj7SQxBGL4pAWfiPODs6dO6czp5Va6vmzNHs2crnlUxqzBh1dEjSXXdp3DiNH69ZszRrlubO1aRJPqlHGOFR8qKdtmjLraKi7+9zOZ05o5MndeqUjh7Vzz+rtVXt7ZL0wgt9wa9apd9+0/TpevBBPfCAamqK9XOUAoJHqepdlicSCoJ4pX35stJppVIKArW1afVqff+9Ll3q+1fDh2vaNN1/v6R4K/6dd65apUez+ugbmg3vIngUX2/YQXBVgdGfg0Dnz+vAAe3fr0OHdPy41q3TvHmSNHq0fv9dly6ppkYzZmjmTM2YodpajRunceOkf4MPAmWzkuLCU9a/89Y/PIosn5euyDISld/Zqc8/18GD+vFHnTqlixfjaCXt2aN58xSGGjtWGzdq+HBNnqyRIzVy5HX/oysXAt7YtEOxhaE6OnThgs6e1dSp8eB8+LAeeqjvmKoqVVertlazZmnhQj3ySP/fKlrnRzMFv+n6zWCEx6CLmoxujP/yi44c0eHDOnxY58+ruVnPPitJ996rxYt14YKmTFFdnaZP18yZGjWq/+8W6V3n4/oIHoMuCr6jQ42Namnp+/tRo5TJxAdUV2vzZt1zjyor+w7I5frZbGMkvxUEj0EXJTp2rKZMUVubHntMdXWqq9P48Zo8OT4gmdSECZLU0xNHnkiY77cNCNbwKJ6//lJXl6qrNWJEP18tFFiKDziCR2mIduwt740PJoJH8Vy534ZBwaIIxUPng47bGIARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSPwVAoKJ8v9kmA4DEIwlCJhJJJmi8+gscdFwQ6eVKtrTRffASPOygMJencOdXX68kn9cMPSiZVKBT7tIwRPO6UMFQQKJfT8uU6eFAnT2rBAn39tYKA5ouG4HFHhGG8Ubdypb78Uum0JI0erQkTin1m3ggeAy8MlcspCLRmjbZsUSKhnh6NHq2tW1VXp0JBCX7viiQIo2UWMECisT2Z1CefqKFB3d1KJJRIaNs2PfWU8nklk8U+RWOpYp8AhqBkUnv36tVXlckoCJTNat06ai8JjPAYSNF0/dgxzZ+v9nalUsrl9PLLev99ai8JBI8BE23Ld3To0UfV0qJ0Wj09evppbd2qysr4qygupvQYGNGdtsuXtWyZWlpUUaGeHs2dqw0bVFnJRl2pIHgMgN6bcK+9pq++UjKpbFYTJ+rDD1VTw2S+hPCqi/8rDBWGSqW0YYO2bFE6rTDUmDFqbta0adReWljD4/+KFuc7d2rFCvX0xHP7HTu0ZAm1lxxGePwv+byCQN99pxUr9Pff8dx+7VpqL1GM8Lh90Vbc8eOaP19nzsTb8o2NWr+ePfkSRfC4TVHtf/yhBQt06JAqKpTNatEiffqpRoyIn4FHqeGa4HZEC/XOTjU06NCheFt+9mx98AG1lzQuC25Z73T9rbf0xReqrFQ+r0mTtH27amq45V7SuDK4ZVHw69dr0yal0+ruVlWVmpo0aRIbdaWONTxuTZT0jh165pl4nE+ltG2b6usZ28sA1we3IHru9dtv9eKLCgKlUpL07ruqr2fdXh4Y4XGzorH9yBEtWKDTp+NPpFy1Sps2xbVzH670ETxuSqGgIFB7u5Ys0b598XOvTzyh5mYNH07tZYNJGG4sWpx3demVV7Rvn4YNUy6nhx9WU5NGjVIQUHvZIHjcQO8U8I03tGuX0mllMpo4UU1Nuvtu5fMs3csJ1wo3ECW9dq3Wr48/jrKqSlu3asqUeA8PZYQ1PP5LNJn/7DMtW9Z3E+6jj7R0Ke+WL0uM8LiuaGzfs0cNDfFD7/m83nxTS5fGD8mh7DDCo3/RTbjWVi1erBMn4mdjGhq0ebPCUMkkwZclgkc/opn8n3+qvl5792rYMGUyWrRIO3eqooJ31JUxgse1ot+IbFbPPaddu1RZqe5uzZmj3bs1diy1lzcuHa4Vrc9ff127dimVUne37rtPTU3UPhRw9XCV6OMo167Vxo1KpZTPq6pKH3+sqVN5t/xQwJQefaIBfPt2LV8ef+y0pKYmPf+8crn4URmUNV6xEYtuwu3dq8ZGZbPxYL5mDbUPKYzwkP69CXfsmB5/XG1tqqxUJqPVq+Mn4SRuwg0RjPCIFQq6dEljxigMlclo4UK99178fhtqHzIY4RGLFvBnz2rlSrW3a/du1dRQ+1BD8OgTTew7O3XxomprqX0IInhcpfdOO7fchySCx7WidTu1D0kEDxjhZRwwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8g+h8vCt76+60AAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [15.33356269172941, 33.95169827039895, -18.6712670428806])", "action": "('move', [15.33356269172941, 33.95169827039895, -18.6712670428806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "dc49db2a43830088f6bc3612516b66b87801c0353b7dcb4382a21e3f3883c86a"} +{"episode": 8266, "episode_seed": 2966781599, "split": "train", "timestamp": "2025-09-15T22:48:44.873916", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2966781599, "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', [-57.63180766989575, 75.6829310508533, -9.274075083597438])", "action": "('move', [-57.63180766989575, 75.6829310508533, -9.274075083597438])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-57.63180766989575, 75.6829310508533, -9.274075083597438])", "action": "('move', [-57.63180766989575, 75.6829310508533, -9.274075083597438])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-57.63180766989575, 75.6829310508533, -9.274075083597438])", "action": "('move', [-57.63180766989575, 75.6829310508533, -9.274075083597438])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "4c976e014dd4c06d857f91605178a49eaf49deb5dd24aa2147945c67d187c28a"} +{"episode": 8267, "episode_seed": 857223988, "split": "train", "timestamp": "2025-09-15T22:48:45.811600", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 857223988, "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', [1.8046157753630716, -0.4010063737449218, -35.24927730646322])", "action": "('move', [1.8046157753630716, -0.4010063737449218, -35.24927730646322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.8046157753630716, -0.4010063737449218, -35.24927730646322])", "action": "('move', [1.8046157753630716, -0.4010063737449218, -35.24927730646322])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALUElEQVR4nO3dXYhU5QPH8d85M+uG1lYbalFZkqSUmii+oJiZUpqiWWQX4WV6kV1YEbQQ9nITGL1AV4IUEQhBkS1paLKyCIayu25SmZG9rJYtGOXuGuvOzPlfPOfvRv+/IruzO2fm9/1c5SHwGeQ7z3Oe8zJRkiQC4CGu9AAAjB6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCx3AliYpFJUmlx4ErECX8Q2EYkkRRVOlB4Ioxw2NYokjHj2vHDv3xhyTm+azLV3oAqErFonI5HTqkzZt14oSKRV1/vdatU6mkXK7Sg8OlMcNj6PJ5nT6t3l79/bf27FEUqVSq9JhwWQSPoYhjlUqaOVMzZ6bn8G1t6utTLseqPtMIHkMRRSoUVF+vOXPSwn/5RYcPp18EyCyCxxCFc/Vly9TQIElnz+rgQUkqFis5KlwewWOI4lhJoiVLdNNN6ZG2Ng0MqK6OVX12ETyGKGzR1dVpwYL0SHu7vvmGrbtMI3gMXdiuW71acaw4VleXvvpK4mp8hhE8hi6OJWn5cl1zjSRFkQ4dUqHApfjsIngM13XXaeFClUpKErW06PffWdVnF8FjuJJEDz8sSXV1+u47/fBDhceDyyB4DEt4eGbZsnQZnyQ6cEBJkq72kTX8s6AMbrxRCxZoYECSmpvV31/pAeESCB7DEkVKEo0dq5UrFUXK59XWpq4uib36TCJ4DFeppCjSokVp4UmiffsqPSZcAsFjuMLV+Dvu0N13q1CQpF27KjsiXBLBY7jCqv6WW7RkSXrk8GGdPZseR6YQPIYrPDkXRZo3L73lrq9Pe/cqSQg+cwgeZRAuws2erUmTVCppYEC7dyuKeHIucwgeZRAeg586VdOnp0fa23XuHO/DyByCRxmEyXzMGM2dmx759VcdOqQ49pjkw33F1YDgUR5hVX///brhBkn6808dOCDJ4Kb6YlFxXC1blASP8gjvw5g/X5MmpUc6OnThQk2/DyP8BEcup9On08sSmf96I3iUR1jV19UNruo7O9XZWRUVDEn4VLmc9u3T6tV67jn19GR/bU/wKJuwql+1SnV1iiKdOaOODqkm77ENjwcVCnrlFT36qI4e1Sef6Mcflc9nfNOC4FE2F9+Hce21khRF+vJLDQzU3F59uJf42DGtXautW9XTo7vu0s6dmjIl+z/EQfAop/AgzeLF6V03Bw+qq6ta9rOuQLGY1t7bq5df1p49imM98YRaWrRihcaOTXfvMozgUWb/fB/G99/rxIkKj6c8Lu7PhSuNV1+tjRs1dareflsffKAJE6plo4LgUWZRpKVLVV+fJtDaqlKpyt+HEU7Lcznt36/ubuXzkvTAA2pr0+bNkqrojR/VMUpUi7CenThRCxakmezerb4+qXq37sLEXipp2zatWaNNm9LPI2ncuPRTZXsZ/08EjzJLEtXVadUqScrndeyYfv650mMamhBzLqeTJ7VunZ5/XufP6+hR9fYO/g/Vk3pA8CizUMHixdJ/f6xi7970v6tMGPFHH+m++9TcLEmPPabWVo0fX3UT+0UEjxExebJmz07fcleV78MoFnX2rJ55Ro8/rq4uNTbqjTf04Ye69dbsb8VfBsGjzMJFuAkTtHRp+scjR3TmTKWHdYVKpcG75TZu1JtvqljUwoX69FNt2VIDj/gTPMrsX+/DiCL19+vzz6XsP0gTLieEb6xcTsuWqbFRTz2l5mYtWpRega/auT0geJRfuEQ1Y4YmT06nzM8+kzIefKj91KnBa2wbN6q5We+8o8bG9JG46lcLnwFZE96HceedmjMnPXL0qP76K6v32IbvoTjWrl1askQvvZQu3fN5LVyoJMn+DbNXjuBRfmFVn8tp7tx0CXzmjFpbs/fkXJKoUFAcq7dXL7yg9et18qS2b0/vBy6V0nsJamJuD2rnkyBTQiP33quJEyWpt1f790tZW9WHn85ob9eaNXrtNV24oHvu0c6dmjQpXdjnctV+0v4vBI8REW5OmzVLt9+eHuno0Pnzyuezsaq/+KMZ27dr5Uq1tEjSk09q3z4tXVqNd9RcIYLHiLj4lrt589Ijx4+royMbq/owgt5ePf20Nm1Sd7duvlnvv6/t2zV+vIrFWq1dBI+RE/a5HnpIV12lKFJ3t44ckSq7qg9/d/g2qq/XhQuStGKFvvhCGzbU2P7c/xUlmVhgoWb192vKFP32m6JI69fr3Xc1Zkwllsxh4z2O1d+fPsoXxzp3Trt2ae1aNTQMvouypjHDYwSVSqqv1+LFKhZVKKi1VT/9JI3+k3Ph5rk41tdfa906ffxx+s7NhgZt2KCGhnRir/XaJeUrPQDUslDQI4+ovV0zZmj+fDU2Dh4fJeH5VknvvacXX9SpU+rs1IMPauzYwWdgaujC2+URPEZQCHvFCk2frmnT/n18NISpu7tbTU3asUOSJk7U1q3pSUXt7sZfCufwGCXhfXD5/CgmFnpuadGWLerslKTly7Vtm2bNGq0RZA7BY8SFze/R3hELz7q8+qpef109Paqv17PPqqlJ48altwGaze0BS3qMuCga9UtdYW4vFHTwoHp6NG2atm3T6tWS0mWGK2Z41KjQ/Lff6q231NSk224zPGP/XwQPD1X/6tzy8F3bwEJ4HD+OqT1ghgeM8LUHGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/Ae4hcoJqebVewAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [1.8046157753630716, -0.4010063737449218, -35.24927730646322])", "action": "('move', [1.8046157753630716, -0.4010063737449218, -35.24927730646322])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOklEQVR4nO3dXYgV5QPH8d+cc9YT+QIqGmWvlqFSukRh7WIqyaJlrVYqXnjZdpFBhRfljeVN0JLSRRcJQTellIm2hMYmom0vINluJiGRhlqGoZG7oeacmf/FMyh/yJc1d8/M/r6fy1NM08L3PM8888ycKE1TAfBQqvcJABg8BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4DEUpKmSRGla7/PIvSjlj4QhJElUYhS7OIJH4SWJDh9WFOm22+p9KrnHlyEKLIxWp09r0SI9+KBWrlRXV73PKd8q9T4B4L/66Sf19CiK9OabKpfV3Kwoqvc55RUjPAoshL15sySVSqpWtWSJokhJUt/zyi+CR7GlqTZuVJoqjjVjhiZOlMQIf1EEj6JKU6WpvvpKhw5lK/OPPqrRo5UkBH9RBI+iCmG//77iWEmikSPV1JR9josheBRSmiqK1NennTslKYr00ENqbFSaqlyu98nlGMGjkMIGm507dfSoJKWpmps1cqTimPn8pRA8CinM2zs61NcnSePHq6VFaco2u8vgz4PiSRJVKvr9d+3Zk30yZYpmzGBf7eXx50Hx1GqKIu3erR9/VBSpXFZLi6Iou7DHJRA8iqdUUq2mL77Q2bOSNGKEli6VxHLd5RE8CiZJVC7r6FHt2CFJaapp03TnnQzvV4TgUTDhgZnvvtOBA6pUJGnZsno/CV+cZ/EJHkUSbrPHsbZvzyqrVrVwoaKofsN7raZSKVtCyD2CR/EcP65PPskekpk/X+PH1+k80lS1mspl/fqrTpwoxFM7BI/i2bNHx45p2DClqZYuVblcj8E1tF0uq7NTCxZo5Ur19uZ/bk/wKJIwb//gA0k6d07jxmnGDEmDXlnY4hPHWrNGTz2l7m5t2aJDh1SpqFYb3FPpH4JHwZw8qW3bVCopSfTYY7r5ZmmQn4cNT+3s26fWVq1erd5eTZ2qDRt0113ZLYQc4403KIwQWkeHentVqShJ1NKihgbFcbZcP+DCjp/w1M5rr2VfPMuWae3a+i0k9A/BozDCPHrDBkWR4lh3363775cGZ3gP78EOo3cca8QItbXphx+0YoVWrJAK87pcgkcxhBtyR45o797sin3mTE2aNCiT6HDjrVzWjh26995sMG9p0bffavjw7OSKULu4hkdRxLHSVB99pD//lKRqVTNnShr4NbJw4y1J1N6uJ57Qs8/q77+zfzR8ePbdU5wtfozwKIAwvEeRPv9ccSxJEydq7lxpQPfPh8265bIOHtQLL6ijQ5K6u9XXd2FgL07qASM8CiBcIHd3a9++7JP77tOECYrjgZxKh5g//lizZ2e1L16s3bs1blzhBvbzCB4FEDa5dHZm77e57jotXDjA/8laTSdO6KWXtHSpjhzRmDFau1Yffqhbbsk20hYTU3rkXZqqoUFnzlz4VZkbb8zeb3Pt78aFr5bQc1tb9sr7pia98Yaam4s7sJ/HCI+8Cw1+/726urLWZs3SqFEDsG89XDmEx2DKZT3yiMaM0XPPqaNDzc3ZNoAi1y5GeORfSOybb3TypCoVxbGWLx+AG2Gh9qNHddNN2aHb2tTYmL37OqzVFx8jPHIthH3qlD79VFGkWk233579etw1G2vDVKFU0tatmjVLr76a/cZFpaKmpv/bclN8BI9cC1fNv/yizs7sqbjFi1WtXrujh4X+vj698oqWLNHBg1q/XkeOZM+6hrv8BdlUcyWY0iPXSiWlqT77LLvnHUV68knpWt0CjyJVKtq7VytXZr9oMX261q3TrbcWaPNcvwzB/yUMMbXahedhp03TlCnX4qBh5pCmWr9e8+dntT/zjDo7NWdOEXfUXCFGeORX6G7/fnV3Z8t1Tz+tkSP/c49hvb2vTy+/rLfflqQJE/T661q+XBo663P/iuCRdxs3Zst11aoefjh7R/VVJnn+xls43D//SNK8eVq3TpMnZ2t1Q7d2SVGa7zfywFkIcOpUHTggSbNna9MmjR17VY+ihmOVSjp7VtVqdohTp7R1q1pbNWrUhXdRDmlcwyOnws2yXbt0+HCW4Zw5Gjv2qvbPh1fNlUrav1+LFmnz5mwxcNQoLV+ebeIJT+cMdQSPnApvl9m0SadPK001erRmzZKuYmNrGLpLJb33nubN07Ztev757BHXMOxrSN14uzSu4ZFH4VL6r7/05ZfZJ9On64EH+j+ZD0P38eNatUrvvitJN9yg1auzdb+huxp/MQSPPKrVVKlo1y79/HP2ycyZuv56nTunhoYrPkqYxu/cqRdfVE+PJM2dq/Z2NTZm/4JZ7WJKj3wKE+3Ozuzn38eO1eOP93MFPawBrFmj1lb19Kha1apV2rJFjY3Z23MsMcIjd5JEDQ06dkxff519MmlSP+fzYa4ex+rqUm+vJk9We7sWLMiOPkjvuM0jRnjkThibu7q0f7+GDVO53P/XXYS5ekOD3npLbW3avl0LFritz/0r36865FZI8rffdOaMJJXLWrLkwudXKjQ/ZYreeUcqzGukBxrBI3dCmMuW6Z57tGOH/vhDd9xxtcdKkix1apfETjvk35kzqlYNF9QHBMEjp4bWiyfyguCRd367YwYQFzbIO2q/hggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8D/F4vKtssV61AAAAAElFTkSuQmCC", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIuElEQVR4nO3cTYhd5R3H8f85d+7oQmiliNCqodD4tjFCFlpCBzTSiCFZVFQqtFKhG1uTmvrWgtRSTH2NSVsXgWJBaiVWsFZ8i4YmC3UTmnahEMTSom7ShYilwbn3nC7uOEqNGlvbzNzf57MbmMU5MN/5P+c5z71N3/cFZGiP9QUA/z+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCh09B31ffH+uLOAqCh/9K11VVNU01zbG+lKMgePjPjcfVttV1dd99tWtX1bv9L1kzx/oCYFnq++rGNZipN16vW39cO3f2K1Y0555bK1dW11W7VCdp0y+LJw9YShaT3v10d/0NzZ/+3AyHNT9fc3P11FN1/PHH+vo+nAkPn8x4XINBzc/X1tv6O27v//HPdna23nmnZmfr/PPf271bmo/0Jjwcrb5fyPjll/vNm/pndjdN2wzaGo36M0/vt21v16071pf4cZbqowYsMePxQu0PPlhzc80zu9vhsOm7Go36r1/e/WFfu25ddd1SfzknePgYfb+wjD90qK65pq68sg4dquGw5uf7k06q+35Rv35ocPLJ1XXL4OWcJT18lG5c1VTb1r69/XVb+v3728Gg+r66rtZ8ebxte7t6dVPvW+0vcSY8fKiuq3ZQfdVPt/YbNtT+/e3sbI3HVVU33liPPzFYvbqZ/Lgsai8THo5ocWL/5dW69jvjx58cVNXMTI1G9cUV3Y6ft+vXV1WNRjWzrN50mfDw7yZP41X18K7+K3P940+2k6pHo7r0a/2+fc369Qur+uVVewke3q/vazSqtq0336zNm8aXXV6vvdbMzjajUX32M922e7qHf9ucclozOT+7ZI/TfQRLeliwmPGLL9aW6/rnX6jBoKmmxqP+vPPqzjtrzZrltD93RMvwfxT8D0xOy7Ztbd9el1xSz7/QDIfNeFzjUbd5Uz3xRLNmTTMaVS2f/bkjWm6PIPBpmxyGbdv669/qhu/3ux5uqmpmpubna8Vp/R2312VXNFU1Hi+/J/YPsqQn2uLHYB59tLt+S73yajMcNvPzVVUbN9Zdd9aXVi6csVuOT+wfNBU3AZ/c5Pxc29bbb9fNN/WXXtq/8mo7O9vMz9cJJ9TWrfXIIwu1T5b608GEJ9HiMdgDf+w3f6/fu7dtmmra6sb9qlX9vfe2c3NVy3x/7oim5R8XHLXJ0G6a2rmzv+jCbu/edjicfKFF/+1vdbt3t3Nz731x1ZQx4ckyGdqvv14331wPPFBVNZyt+XfqC5/vbrut/cY3q979xPtUEjwpFvfnnn66rr22Dh5cOCpb1X91bbf9Z+0ZZy7jEzVHaXrvDN41OQbbtnX4cN1yS23cWAcP1nBYo1Edd1x/64/qd78fnHFm003RbvyHMeGZcotD+6WX+k3fHT+7Z1DVTGb7WWfVjh21du3Cr0136hMBt0iwxZdqv7q/X3thPbtnZna2qarRqL/qqnruuVq7tqZ+Gf9+JjxTazK0/36obrpx/Mv726pmZlij+Trpc+Ott7dXX71wfm5a9+eOSPBMsz17+i1b6sCBGgyayRfOXXBBf8/ddc6qZvFEbZSw2yXApOTDh2vrT8YbNtSBA83sbDMe16Ad//AH3WOPNeesWviamrTay4Rnyiz+OW/ZUtu21WBQTVOjUX/6yrr7rn79hrZi9ueOKPW+mVJNs3Bs9uKL68QTazyu0ai/4vJ6dk+zfkMbtT93RMG3zpQaDKrr6qKLatOmOvXU2nFv/5uHmlNPiR7siyzpmUKTSf7WW/XGG3X22Vkv3j6a4Jlyix+VoXzjDVNssl0f9Zr9Y5nwEMRjDQQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5Fx/2BCYiUYO0AAAAAElFTkSuQmCC", "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": "03808da9d31b4fae98bbc1b7eb188c011a6073f42df5ede96efaf24179a4dbf7"} +{"episode": 8268, "episode_seed": 847963569, "split": "train", "timestamp": "2025-09-15T22:48:46.417895", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 847963569, "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', [1.2159434073961897, -0.41148025927055115, 14.276245377392096])", "action": "('move', [1.2159434073961897, -0.41148025927055115, 14.276245377392096])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.2159434073961897, -0.41148025927055115, 14.276245377392096])", "action": "('move', [1.2159434073961897, -0.41148025927055115, 14.276245377392096])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.2159434073961897, -0.41148025927055115, 14.276245377392096])", "action": "('move', [1.2159434073961897, -0.41148025927055115, 14.276245377392096])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "e147c03c618da8f1c3893e8213d31ec21d4cd0113d03318572d969ae5b97e8d4"} +{"episode": 8269, "episode_seed": 721042670, "split": "train", "timestamp": "2025-09-15T22:48:47.024032", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 721042670, "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', [-61.59604045716355, 104.26610995314563, 9.070399627268046])", "action": "('move', [-61.59604045716355, 104.26610995314563, 9.070399627268046])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-61.59604045716355, 104.26610995314563, 9.070399627268046])", "action": "('move', [-61.59604045716355, 104.26610995314563, 9.070399627268046])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-61.59604045716355, 104.26610995314563, 9.070399627268046])", "action": "('move', [-61.59604045716355, 104.26610995314563, 9.070399627268046])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "bbf6a69f82069f3353f8fd435ffdfe7ff650194acc5937ae6bd23de66a9dfa0c"} +{"episode": 8270, "episode_seed": 3562792165, "split": "train", "timestamp": "2025-09-15T22:48:47.632635", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3562792165, "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', [7.667358094940547, 29.765901495877984, 22.780357563894977])", "action": "('move', [7.667358094940547, 29.765901495877984, 22.780357563894977])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [7.667358094940547, 29.765901495877984, 22.780357563894977])", "action": "('move', [7.667358094940547, 29.765901495877984, 22.780357563894977])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [7.667358094940547, 29.765901495877984, 22.780357563894977])", "action": "('move', [7.667358094940547, 29.765901495877984, 22.780357563894977])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIz0lEQVR4nO3dXYjldR3H8e//f86ZFcy8an24kBatIEKirjQyAqGETVPX2giLBA3TUAu9MYOitCcq14dCXSNBzXY1IpdEQsFCEFPvxEITvIhwA4nUnDkPvy7OrpoPW6trc2Y+rxdzMTA3v7l4z/d3fv/fOdO11grI0K/2AoD/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHDW6611V7BXoKHt1Zre74WwXC1FwDrWWvVddV1L32/ukx4eKvMC7/11tq8uXbvrq6r2WyVl9S1BdlqwPoyndZgUPfcU6ecPHv2uf6EE+q66+o976nZrPrVm7MmPBx400kNBvXQH9tnPj199rn+oIPqvvtqx46qWuVdveDhAJtOazCsPz3WPnXG9Om/D0ajeuGFOv30dv75tvSwvsx37H95on1i8+zRx/rhsJtM6qMfmf7il/3Gjd3q7udL8HAAzXt++ul26snt/gf6paVaWakPvn+667f9YYevfu3lsRwcKK1V39fzz9dZZ3X3P9DNa3/X0dOddyxK7eU1PBwQ8ydwy8t1zjm1a1cNh7WyUkdsnO28o3/npkWpvUx4ePNaq+m0WqtLLqmbb67hsKbTOuywuv1X/bHHrvJzuFdYmIXA2tRazWY1HNYVV7Rt22o0qtbq0ENr+/Y67rjFqr0c2sGbMa+n6+qaq9tFX6mu6yaTGo3q+uvrzDNrPK7hcPWv076c4OGNm1+nu+Xm9oWzZtPpYD7tf/TDduFF3WRSg8Fi1V629PCGzZP+zW9mn//cbGVlUF3NZvX1y9qFF3WtLdxsnzPh4Y2Yz/bf39c+sXn2j38ORqMaj9v557Wrru4X4V1xr0fwsN/mtT/y0Gzz5vbXvw2Gw5pM2me3tu0/60dLL70fdgEJHvbPvPZHH61TT2l/fryb137Sx2a33tYfckhXtVjH8q8geNgP89qfeqq2bKkHH6wNG2p5uX34Q9M7dw3efmg3/+kiEzz8r+YP1Z95prZurbvvntdexx5bd/22jjhy4R65v6aFXyAshhevyp99dt19d41GtbxcmzbVjh1rpvZytRb+F/NPoZxO64IL2u23d8Nhjcd11FG1c2e9+917/hasCWtkmbB65rX3fX3t0nbDDW3DhppOa+PG2r69PvCBmk4X90z+1QQP+zI/4+r7+u53Zt/7flta6ldW6uCD66pt7cQTazxeM7N9zqEd7MtkUsNh/fTa2ZfOa/1wMJtW19XVV8/OPbdfwKvy/5XX8PC65rX/4pZ23nmt1aCraq1d/u127rn9bFaj0Wqvb/+Z8PDa5gfvd91VW05vz/+rGwxqMmkXf3X2vR8MFvny7L4JHl7D/ArNH/5Qp51Wu3fXYFjTyezss9pPrhtUVd8LHtaL+U7+4Ydry5Z68skajWo8rjPOaDf9vFvaULXYl2f3TfDwH+a1P/F4nfGp9sgj3UEH1Qsv1Ekfrx076+CD18wFm9cjeHjJ3s+Zrq1b695791yVP+647te/rne8oxb/qvx/JXjYY34U9+yztXVr27WrRqNuPK73vrfdeWe3adNC/O/XN89jOajae51uMq0vnjPbtasbDrvxuI4+um67bf3UXm7aQe2d7X1fF10wu+XW2rChm0zqiMPbjTfW+963xi7P7pvgSffi9L7s0tk119bSUr+8XIe8rV17bZ1wQo3Ha/51+8vZ0pNuNqvl5dq2rX3r8r7vazypwaBtu7J98tR+/pnT64lDO6LNj+Uff7yOP752766lpRqvzK78cX35gn6tP4F7TevuF4L90ffVWh1zTN10Ux15ZK2s1De/sW5rLxMeau+c/93v6uGH6+JLarb2n7e/HsFDVb10qWa9zvY5wcMeL/6juHXMKT3ssb5Tn1u/exfgVQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4Nf4I6OG7nlhQAAAAASUVORK5CYII=", "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": "0d7ecaac2f782f7fbe3d9a6f4acf0dda66cb7b4f91bebdf05ef6744c64635857"} +{"episode": 8271, "episode_seed": 3233821034, "split": "train", "timestamp": "2025-09-15T22:48:48.572096", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3233821034, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-47.5525272967628, 218.45155688221084, -16.302163190799973])", "action": "('move', [-47.5525272967628, 218.45155688221084, -16.302163190799973])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKLElEQVR4nO3dTYidZ8HG8Ws+k9Z8tFax1hpFaFERVIQubJEGg0K1m6IgdaM0Cw3BaiPYVAu2KthKglGDqy4UoSCEqhuttIu22ohSpH6AuJBGcRMNGBgmk/k4512c807avKFtfJOmZ67fjzCcM+cw8yTkf+77uZ97zkwNh8MAHaYv9QEArxzBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5HZS30AcD6Gw7NvTE1lamp8ezDIYHDmyaOHnv+EelPD9X84uCSGw3G9z/84MjMzbnU4zOpqpqczNZVp09L/nuC5+EYD7/N7nprK3Nx/+dWGw5w+Pf6zuJgrr8z27ePP/+EP+cc/kmRpKUtLWVjIqVM5eTLbt+cLX8hwaKgXPJfaqMlTp7K4mMXF8Y2FhQyH+cAH8oY3JMnx43nwwZw+PX50aSmLi1lezsmT2bMnd9yRJMNhbrstP/nJOb7FlVfm3/9OYnrvHJ6LaTSoHj2aJ57IqVNZWMjCQk6cyI4dOXgwKyuZm8sPf5jDh7O8nNOnxx9XV7O4mMsuy5EjZ4I/cODc3+LZZ5NkMMj0dJaXk+SKK3L55dmyJa95TbZuzaZNuf76rKxk06bUD2+C5+L75S/z1a++4DOvfW0OHhzn969/5Y9/fMGjo3F4bW0c8Oj5t96aJNu3Z8uWbNmSrVuzbVsuvzzve1+S8Yn9Qw9lYSGbNmV6OjMzmZ3NzExmZjI3l/n58VfuJnguvje/OW95S+bmsmlTtm/P5s15xzuSZHY2SW69NVddlW3bsnXruOTRjW3bsmXL+Ctcc01++tPkpYq9+uqL+vfYAJzDc/GtrmZqKjMzF/0bvch/5vqxfUTwvFLWF+qTF1xdG12WOytIfV4cgucV4ZLYq4M9DLwi1P7qIHgoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoInh4acPhpT6CC0Tw8BLW1i71EVw4U8MN89oFF9oojqmpM3fXb08oIzycw3rqU1P50peye/f47qSPj7OX+gDgVWcwyPR0kvztb9mzJ48+miTvfnf27MlwmNlJjsaUHl5gdTWzs1lby49/nM9/PsePZ/PmLC3l9a/Pk0/m7W8/83IwiSb2wOEiGNX+z39m797cfnuOH8/8fJaWcvXV2b8/O3YkmezTeCM8JM87aX/00dx7b373u8zMZDjMYJCdO/P1r+f97x8/TfAw2UYZDwa5//58+9s5eTLz81leTpJ77sldd+Wqq7Kykrm5S32g/2+Cp9r6Cflf/pK9e/P440kyO5vV1bztbfnud3PLLUmytpaZmUt5nBeKc3h6ra5mejqrq/nBD3LTTXn88fEYPhjkE5/Ir36VW24Zz+o3Ru0RPJ2Gw/H63N//nj178qlP5cSJzM1lZSXXXJNDh/Lww3njG8dT/cldk/+/TOmpsz6N//nPs39/nn12fB1uOMyuXfnGN3LDDZN97e1FTPIeAjh/o5KXl3PfffnOd7KwMF6fm5nJ/v3Zty9XXDEe/DckIzwt1gftP/85n/1snnoqSWZmsraW66/P4cPZtSvJRq49zuEpMVqfW1nJQw/lppvy1FNnrrF98pP59a+za9d4fW4D1x7Bs+ENh1lby+xsjh3L7t3ZvTv/+U/m57Oykmuvzfe/nx/9KK973QZcnzsnU3o2ssFg/BNvP/tZvvzl/OlPmZ3NYJDBIB/6UB54IO95z8RvnjsvG3r6QrfhMNPTWVrKvffm8OGcOjVen5udzX335c47s3XrBtk/9/IZ4dmA1tfnfv/77N2bp58ej/ODQd75znzve9m5M9lA++devo1+ykKZ0Rn7aP/c4cP54Afz9NOZnx/P2++4I088kZ07x7P6ttpjSs9Gsr4+99xzueeePPxwkszNZXk5116b++/Ppz+dZMNuqnk5TOnZINbn5488krvvzl//emb/3Ec+km9+M+96V+Mc/ixGeDaCUcknT+ZrX8uhQ1ldHW+Mv+yyfOUrueuubN6s9sQIz6Rbv6h29Gj27cvRo+Oq19by3vfm4MHcfPP4rtpj0Y7JNdoYNzWVtbUcOpQPfzhHj2Z+fjyN/8xn8thjufnm8V21jxjhmUiDQZJMT+e55/LFL+bIkeR/37jiTW/Kgw/m9tvHT6tdnzsnwTN51ufnR45k374cOzZOPclHP5qDB3PddWf/DglGvPoxYUbz8xMncued+fjHc+xY5uezuppt2/LAA3nkkVx33ZkdtZzFCM/keeyx3H13nnnmzBvL3nBDDh7MjTdutHekuuCM8Eye3/42zzyTTZuytpbBIJ/7XH7xi9x44/i3Pqr9RRjhmSSji3AnTuS22/Lkk9mxIwcO5GMfS6zPvTyCZ8KMwv7Nb3LgQL71rbz1rdbnzoPgmWwG9vNiay0Taf2n4tR+XozwUMTLIxQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5HysImrVVO3LlAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-47.5525272967628, 218.45155688221084, -16.302163190799973])", "action": "('move', [-47.5525272967628, 218.45155688221084, -16.302163190799973])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-47.5525272967628, 218.45155688221084, -16.302163190799973])", "action": "('move', [-47.5525272967628, 218.45155688221084, -16.302163190799973])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "06db876f15851a07aef87113deec93d440067781d7f99a100cf43b4267cf2e94"} +{"episode": 8272, "episode_seed": 1486605294, "split": "train", "timestamp": "2025-09-15T22:48:49.182169", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1486605294, "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', [-0.58392764722217, 2.5175471666442846, 22.881506594665797])", "action": "('move', [-0.58392764722217, 2.5175471666442846, 22.881506594665797])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKWUlEQVR4nO3dTWhc5QLG8efMZ0ijqWItGpImoBDFCiqlK7UurJZmUUERFRX8SEqCVLEqtKJdKAiGWKmKRIzVRUXqB5UQSVcVUSkaUCoYUysl0EYXSlpCGzMz59zFOc6ktbeYe2tnJs//xyxCMwmnkP+87znvO2eCKIoEwEOq2gcA4PwheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YCRT7QP4d0TR6f8SBNU4DqC21G3w5aTLX6TmzVbIGziTegs+DFUqKQiUTidV/73tYlEnTqhQ0NSUDh/Wjz+qoUEPPKDmZkURrwVwVnvBR9Hpj3Ra6XTy3VSqMpKfPKmZGc3M6PhxRZGuukrZrFIpjY6qt1e//qq5ueSZzc1au5bggVoKvlhUFCmbPVuTBw7o++/1xx86ciR5HD2qQ4fU0KADB9TRIUknTmhyUpKWLtUll+jii9XaqnxeYqoPd7UUfCYjSXNzOno0KXlqSgcPauVKdXcrDJVK6b331N9/5p8tlZKvV6/Wm2+qqUmXXaZly5JHPEcgeHirdvCzs2poSGbaTz+tb7/V8eOantaxYzp2TIWCJK1apQcfVC4nSa2tSqd13XVqadGKFWprU3u7Lr1US5aotTX5nW1t6ump2v8IqGFB9PcVrPNmdlZvv62+Ps3NKZfTFVfo0KHKd/N5NTWppUW3365nn9UFFyiKdPKkpqfV2Kh8Xvn8KVfmy6JIxaIkBcEpD8BeVUf4Ukk//ST9taJ2zz2amNDVV2vFCnV0qKNDLS2Vy3WSgkCNjWpsPOWXhGGyMld+ZhAomz0fxw/Um6qO8MWivvpKN920sJ8qHzCDNrBAVQ3+NKVScjJfnoGTNHBOVTv4UumUSTuAf1O1gwdwHvFuOcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASM1F3wUJZ9AA+Ccq90Poog/dQrAOVRDI3wYStLoqDZs0NSUgqDywbAAzolaGeHj8fyXX7RunSYm1NmpwUHdeKOiSFF05o+BB7BQtVJSPHvftk0TE8rnNT6u227TW29JUiqlUqm6RwcsErUSfOy++3T99frzT2Wzmp1Vd7c2bdLvvyudVrFY7YMD6l+tTOnLJie1ebN271YQJJ3ffLN27NDKlQpD5vbA/6W2AioW1damnTu1bZuCQMWicjl9/rnWrdOePUnt8bU9AP+DmhvhSyWl05K0Z496evTbb8pmVSgom9Vzz+mZZ5TNVp4DYEFqLnjNW4EfH9dDD+nrr5XJJOfwd96pV1/V5ZerWFQ6zUI9sDC1NaWPxRlHkTo79dlnevRRFYsKAmUy+vBDrV+fvASwSg8sVC0GH4s33jQ3a3BQr7+upiYVi8pm9d132rBBg4PJCE/zwD9Xi1P6+eJLdKmUvvhCDz+sgweT6X0mo+5uDQwon2cTLvBP1XrwUmWz3ZEj2rhRw8MKgmT8X7NGQ0Pq6EjGebIHzq52p/RlQZBstmtp0SefaOtW5fMKQ+Vy2rdPa9ZoZCSZ27NiB5xdHQQfS6cVRcpk9MILGhpSS4vm5pTPa3JSd9yhl15KtuWwCRc4izqY0s8Xv1s+k9E33+iJJ/Tll5UVu3vv1cCAli9nQx7wX9VZGfHiXLGoVav00UfJip2kbFa7dmn9eu3fr1SKFTvgzOos+Fgmo1JJy5frjTe0fbtyORUKyuc1NqauLr3zjlKp5KoegPnqbEo/Xxgml+v37lVfn37+Wbmc5uYk6amn9PzzWrIk2ZMLIFbHwcfiM/bDh9XXp5GR5NpeGKqrSwMDuvLKZNEegOp0Sj9ffMbe3q6PP9bmzSqVFIbKZjU8rK4ujY6yCReoqPvg9VfzuZxeflnvvqtly1QoKJfTxITuukuvvMIpPZCo+yl9WTyMp9MaG1NPj8bGkmt7ku6/X9u366KLKqf9gKfFE7yUnL2n05qeVm+v3n9fUrKMd8MNGhrStddWNucDhhbVH358V6wo0tKl2rVLL76oCy9MbpszNqZbbtHu3Uql2JAHX4tqhJ8vvno/PKwnn9TERGXFbutWbdmixkZumwNHizb48ibc8XFt2qS9e5NLd6WSurq0Y4fa23lfLewsqin9fOVNuJ2d+uADPf64wlClUrJid+ut2reP2mFn0Y7wZeWp+86deuwxzcwkd8VsaFB/vzZuTEZ+wMHiD17z7oq5f78eeUQ//JA0L6m3V6+9xqdZwYXFn3lcexhq9WqNjuruu1UoKJNJpv3xy4HB6x7gMcKXxdP7QkH9/dqyRWvX6tNPlctJ3B4LHryClyq3xxgZ0TXXqK2Na/UwYhe8dModL6kdVhzfOFo+pWdfPdw4jvCALYur9ABiBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8B//eg6X74rfFAAAAAElFTkSuQmCC", "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', [-0.58392764722217, 2.5175471666442846, 22.881506594665797])", "action": "('move', [-0.58392764722217, 2.5175471666442846, 22.881506594665797])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.58392764722217, 2.5175471666442846, 22.881506594665797])", "action": "('move', [-0.58392764722217, 2.5175471666442846, 22.881506594665797])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "258742193367e98bec3410769a1e7bf550953091b79a89d14ac89c498e6f5817"} +{"episode": 8273, "episode_seed": 2387069524, "split": "train", "timestamp": "2025-09-15T22:48:49.791919", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2387069524, "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', [-5.712796251941861, 1.2287961020530613, 9.99493002900033])", "action": "('move', [-5.712796251941861, 1.2287961020530613, 9.99493002900033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.712796251941861, 1.2287961020530613, 9.99493002900033])", "action": "('move', [-5.712796251941861, 1.2287961020530613, 9.99493002900033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.712796251941861, 1.2287961020530613, 9.99493002900033])", "action": "('move', [-5.712796251941861, 1.2287961020530613, 9.99493002900033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "fbcd4400ced53a60e027708b27c7da8342578557eea2c088373c6ac3ff083c12"} +{"episode": 8274, "episode_seed": 2207677010, "split": "train", "timestamp": "2025-09-15T22:48:50.753046", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2207677010, "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', [-4.355606112154452, -2.6409740094129335, 0.15002790853103912])", "action": "('move', [-4.355606112154452, -2.6409740094129335, 0.15002790853103912])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.355606112154452, -2.6409740094129335, 0.15002790853103912])", "action": "('move', [-4.355606112154452, -2.6409740094129335, 0.15002790853103912])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.355606112154452, -2.6409740094129335, 0.15002790853103912])", "action": "('move', [-4.355606112154452, -2.6409740094129335, 0.15002790853103912])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "e74fd4c59408ef1a07eae04bda4b79619c8f2e91d6da4da1ec1ca96799800be2"} +{"episode": 8275, "episode_seed": 3431593718, "split": "train", "timestamp": "2025-09-15T22:48:51.360535", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3431593718, "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', [-3.590022824412181, 3.9172751755085518, 14.62629698294696])", "action": "('move', [-3.590022824412181, 3.9172751755085518, 14.62629698294696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.590022824412181, 3.9172751755085518, 14.62629698294696])", "action": "('move', [-3.590022824412181, 3.9172751755085518, 14.62629698294696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.590022824412181, 3.9172751755085518, 14.62629698294696])", "action": "('move', [-3.590022824412181, 3.9172751755085518, 14.62629698294696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHjklEQVR4nO3dX6sdVx3H4d/M3iTRGvyTthhI0lZI02hjTCFgCo2FBNPEtPVNFPqi+h4kYjFCLFIbojb19EatkAYKWmKtBUHMaTp7lhf7UHvj3d5ntuf7PHezr9bNh1lrzZrZXWutgAz91AMAdo/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcjmBt9atTb1IGBvmU89gP+p66YeAew5Gxf8YlGzWV27Vvfu1dWrdehQHTgw9Zhgr9isKX1r1XU1DPXaa/Xqq3XkSL3ySrVW42h6DyuwWcGPY/V9vfde/fEPO79sb1fX1Tia4cMKbFzwVfXu1vjBB63raj6vl16qquo3a5jw/2qDSmqt5vOqqtu3u8XYVdWXvtwuXaoSPKzIBpW0XMB/+GG9+etuefnMd8dHH7V6h5XZrOCr6u6dcWtrnM2runrxx7OpBwV7ygYF3/fVWv3md31V33fVtfHy5anHBHvLpgS/nM/fv1/Xr1dVDUOdPNGeeLyVEziwOpsS/NLHH9fNmzWbVWt19eXZ/gNah1XalOC7rlqrmzdre7tms6qqCxeq73ce1AErsSnBV1XX1bWfjFX14EEdO1bHj089INhzNugs/fZ2vfFGW67Yn3++Dh+usoCHldqIO/zygdxbb9Un/5x1fbU2nvt+O3CgFgvBwyptRPDLhfrrP10shhrHOnSoO326qhy5gRWbfkq/fCBXVb96s6uqanXmTPf0qara2b0DVmX6O3xr1ff1zjv1l78uB9O+d3px8GA9eGA+Dys2ffCLRVXVjRvjJ/9oVfXQQ/Xss33ZroM1mH5Kv3wC/9tbNbaqqmPHuufOV2vm87B6E9/hx7Hm87p7t/70576qq2rffmrx8MM1DF6JhdWbuKrlfP7tt+vOnaqq+by7cLH/fBsPWK2Jg1/exm/frmGoqjp4sC5d7rrOfB7WYsrgx7Fms/rbvbp1a+eXJ5+sbz3hC3awLlMGvzxX8/777d2tse+r6+rKlSr787A2Uwa/nM9vbXX/vt/NZtVau3q1SvCwNpMF//kXL278sqq6YajHj44nT041HIgw8abd3z9qN36x6GdVVT96ceZPZmCtJg7+91vdv+7P5rNqrb1weecQDrAmkwW/XKi//rNWVcNQX//q+PR3WnlDDtZpyjv8MNT1n4/Lf5K6+MPZNw93ZccO1mni5/D3Ppr1fVW1H5z3xQtYu4nX8PN5LRZ18Ctt+cULYK0mfltueT8/80x/4qn/XgJrshFn6c+erUceqWEQPKzXlMF3XX36ae3fX2fPVn3hW1fAmkx8tHYY6thjde7cziWwVpNG1lVVO3F8cfRoDYNXYmHtpgx+MdT+fd355zozedgdUwb/2Wf1tW/UC1f6Mp+HXTHpHX5Rjx0ZT53a+VI1sG5Tdjaf18WL1Vo1fxELu2LKgzf79tXVl/uum/w0AKTo2qSvpy0WNudh90wcPLCbTKYhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8AIJkt5/+1YWcAAAAASUVORK5CYII=", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHjklEQVR4nO3dX6sdVx3H4d/M3iTRGvyTthhI0lZI02hjTCFgCo2FBNPEtPVNFPqi+h4kYjFCLFIbojb19EatkAYKWmKtBUHMaTp7lhf7UHvj3d5ntuf7PHezr9bNh1lrzZrZXWutgAz91AMAdo/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcjmBt9atTb1IGBvmU89gP+p66YeAew5Gxf8YlGzWV27Vvfu1dWrdehQHTgw9Zhgr9isKX1r1XU1DPXaa/Xqq3XkSL3ySrVW42h6DyuwWcGPY/V9vfde/fEPO79sb1fX1Tia4cMKbFzwVfXu1vjBB63raj6vl16qquo3a5jw/2qDSmqt5vOqqtu3u8XYVdWXvtwuXaoSPKzIBpW0XMB/+GG9+etuefnMd8dHH7V6h5XZrOCr6u6dcWtrnM2runrxx7OpBwV7ygYF3/fVWv3md31V33fVtfHy5anHBHvLpgS/nM/fv1/Xr1dVDUOdPNGeeLyVEziwOpsS/NLHH9fNmzWbVWt19eXZ/gNah1XalOC7rlqrmzdre7tms6qqCxeq73ce1AErsSnBV1XX1bWfjFX14EEdO1bHj089INhzNugs/fZ2vfFGW67Yn3++Dh+usoCHldqIO/zygdxbb9Un/5x1fbU2nvt+O3CgFgvBwyptRPDLhfrrP10shhrHOnSoO326qhy5gRWbfkq/fCBXVb96s6uqanXmTPf0qara2b0DVmX6O3xr1ff1zjv1l78uB9O+d3px8GA9eGA+Dys2ffCLRVXVjRvjJ/9oVfXQQ/Xss33ZroM1mH5Kv3wC/9tbNbaqqmPHuufOV2vm87B6E9/hx7Hm87p7t/70576qq2rffmrx8MM1DF6JhdWbuKrlfP7tt+vOnaqq+by7cLH/fBsPWK2Jg1/exm/frmGoqjp4sC5d7rrOfB7WYsrgx7Fms/rbvbp1a+eXJ5+sbz3hC3awLlMGvzxX8/777d2tse+r6+rKlSr787A2Uwa/nM9vbXX/vt/NZtVau3q1SvCwNpMF//kXL278sqq6YajHj44nT041HIgw8abd3z9qN36x6GdVVT96ceZPZmCtJg7+91vdv+7P5rNqrb1weecQDrAmkwW/XKi//rNWVcNQX//q+PR3WnlDDtZpyjv8MNT1n4/Lf5K6+MPZNw93ZccO1mni5/D3Ppr1fVW1H5z3xQtYu4nX8PN5LRZ18Ctt+cULYK0mfltueT8/80x/4qn/XgJrshFn6c+erUceqWEQPKzXlMF3XX36ae3fX2fPVn3hW1fAmkx8tHYY6thjde7cziWwVpNG1lVVO3F8cfRoDYNXYmHtpgx+MdT+fd355zozedgdUwb/2Wf1tW/UC1f6Mp+HXTHpHX5Rjx0ZT53a+VI1sG5Tdjaf18WL1Vo1fxELu2LKgzf79tXVl/uum/w0AKTo2qSvpy0WNudh90wcPLCbTKYhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8AIJkt5/+1YWcAAAAASUVORK5CYII=", "image_next": "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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": "e257923a1f3cf46d355bf41297cd3bee40d939066f8f96e0a58f09c483efbdc5"} +{"episode": 8276, "episode_seed": 2839651876, "split": "train", "timestamp": "2025-09-15T22:48:51.965401", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2839651876, "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', [0.9025279687333442, -4.303886512161655, -10.106644699267576])", "action": "('move', [0.9025279687333442, -4.303886512161655, -10.106644699267576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.9025279687333442, -4.303886512161655, -10.106644699267576])", "action": "('move', [0.9025279687333442, -4.303886512161655, -10.106644699267576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.9025279687333442, -4.303886512161655, -10.106644699267576])", "action": "('move', [0.9025279687333442, -4.303886512161655, -10.106644699267576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "47cdf1754d6ef64404a7577a0f3b6ebc7f8a59db4183f9b0652a0d9b16d51f56"} +{"episode": 8277, "episode_seed": 2023230594, "split": "train", "timestamp": "2025-09-15T22:48:52.571094", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2023230594, "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', [-5.326465096044262, -2.3095564478295527, 48.352170872785415])", "action": "('move', [-5.326465096044262, -2.3095564478295527, 48.352170872785415])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.326465096044262, -2.3095564478295527, 48.352170872785415])", "action": "('move', [-5.326465096044262, -2.3095564478295527, 48.352170872785415])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.326465096044262, -2.3095564478295527, 48.352170872785415])", "action": "('move', [-5.326465096044262, -2.3095564478295527, 48.352170872785415])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "fe7136de2c579019d5890a801893a085e7386827ee668fd5b7b24573803a8439"} +{"episode": 8278, "episode_seed": 4009886649, "split": "train", "timestamp": "2025-09-15T22:48:53.518647", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4009886649, "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', [-0.3346216702335878, 7.8643872663792775, -23.34789777665469])", "action": "('move', [-0.3346216702335878, 7.8643872663792775, -23.34789777665469])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ/UlEQVR4nO3dO3Nc5R3H8d9eZDxmuMSXwVaEwUgTBLbHmHhckTIzqfICqChTUlGkCB0FLyJ1ZtKl4C1kghKbS2IMDgiBL4zvwQR7JO2eFLuxIgcIlpPsHv0/n9lqL/bjWX/3Oec5j1adpmkC1NCd9ACA/x/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFPvaZJ00x6EGwT/UkPgP+k05n0CNg+BD/1bt7MhQtZW8sLL0x6KLSeQ/optrqaJK+/niNH8otfTHo0bAeCn3qzs+l0srKS4XDSQ6H1BD/Fut0kOXgwvV6uX8/Fi0ks4PEgBD/FRst1Tz2Vxx/P2lo++igRPA9E8FPsbvC7d6dpxsHDAxD8FOt0MhxmdjY/+EGSnDuXmOF5IIKfYp1OBoN0OpmdzcxMPv44ETwPRPBtMDeXtbUsLSVJt6t5tszGm+nW6yXJyy/n2LEsLib/XLqHLek0posWGQ4Fz4MQPBRiumiJL7/M2bO5cCGxbsfWCX7qjXbUvvFGfv7zvPlmkqyvT3ZEtJdFu6k32n5z/nzOncuhQ0nS66Vp/NgsW2CGb4kTJ9Lr5caNXLniyhxbJviWmJ/PcJjLl3P+fOI0ni0SfEs8+2yaJpcvW7fjQQh+6o3O1Wdn88gjuX17HLyfjWdLBN8SMzNZXEynk0uXEl90xxYJviX6/Rw6lKbJp5+madLvO6pnC1yWa4leLz/9aVZX87OfZTAQPFtjay0UYoZvj6YZ77Hr953DszVmeCjEol0bjD6Uv/oqv/pVTp7Mb3+buDLHVgi+PZomb7+dpaWNr76B++Q/TXs8/HCeey7dbj77LLdvJ/bbcd8E3wajr6/tdvP00xkOs7ycv/990mOilQTfEqMz9rm5JPnww9y5M9nh0FKCb4nRdbi9e7NrV/72t9y4MekB0UqCb5W9ezM3l34/y8uTHgqtJPiWGM3w+/Zl9+6sr+fttzfuhO/NTruWGLW9Z09eeim9Xg4enPSAaCU77drmxo30+3nkkUmPg1YSfDv5jRRsieChELNEe4w+mm/dym9+k9dey+nTG3fC92PRrj1G30V/82Z++cssL+fJJ3P8uC+o576Y4duj281wmNnZPPVUut3xr4uH+yH4VllfT6+XffsyHObDDxOH9NwfwbfK6Oh9fj6dzniGdzzP/RB8q4zyfvrpNE2+/DJffOHXTnFfLNq1yuja+8mTefXVLCzkoYcmPSBaxnV4KMQM30LDYQaDdLvpdp3Dc1/M8FCIRTsoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L6kx4AaZoMh0nS6Yxv8D/SaZpm0mNgk7W1JOl20+mk6wiM/yrBT0zTpNPJ+np+97sMBpmfz/792b9/U+Tr6xkO0+2O+zf584AEPzGDQXq9fP55fvKTrKxkz54sLORHP8rCQp55JgsLWVjI3r0bz2+aDAYbh/3iZwucw0/M6JP23Ll8/XV27Mi1a7l2LX/4w/jR2dn88IeZm8v8fI4dy5EjOXo0/W96u/71E9unAN9N8BMzCvXSpVy58g2PXryYixeztJQkO3fmscfy+OM5eDA//nFefDEvvpj5+fEz74l8MBjf6SiAf+eQfpKaJuvruXo1776bP/0pS0t5//3cvJnbt3P79re+qtfLzEz27h2Xf+JEDh/OY4/l4YezY8emZ66vp2k2zv/1j+Cnzief5PTpvPNO3nsvFy7k8uVcvbqp/9Hq/Wgmv+vZZ3P8eI4dy9GjmZ3Nvn154onMzGw8YTDIYLCx+C/+mgQ/FUZvwmjd/l9TXF3NBx/k7NmcPZuPP84nn2RlJefPb3rtjh1pmvHFvJFdu/Lcc1lczOJiDh0a3w4c2PSqtbWN8sVfh+CnzmgfTtOkaTZN0UmuXMnnn2dlJcvLOXMmZ87kz3/OrVsbT+j30+1mdXXTq/bvz5NP5uDBPPNMDh/O88/n8OHs2nXvXxprfgUIfqrdjX84TK+XXm/jocEgV6/m+vV88UXefTenT+fUqZw5M960N9Lp5J63d8eO7N6dPXty4ECOHx/fFhf/T/8cJk7wrTGa80e3TmdT/EnW13PnTm7dygcfZGkpf/xjTp3K1atZXc2dO9/6Z87M5KGH8uijOXo0L72UV17J3Nx4qw/bkuDb6u5pf/KtfZ4/n1On8s47OXUqn36aa9dy/Xq+/nrTc0aH8U2TAwfy1lt54YXxjiC2JcFvK9+9Cecvfxmf9v/1r/nss/HtrmPH8vvfZ+fOb34t24Pgt7O7pwDDYfr9TRnfuJHl5SwvZ2UlH32U06dz+HB+/eusrd27Ush2Ivgq7pY/OkW/Z5fupUvpdvPEE+MFArYrwRd198pf8s1b9NmWBM/Gyr+5fdsTPBTieisUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wDhJFsxsgJSbgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [-0.3346216702335878, 7.8643872663792775, -23.34789777665469])", "action": "('move', [-0.3346216702335878, 7.8643872663792775, -23.34789777665469])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.3346216702335878, 7.8643872663792775, -23.34789777665469])", "action": "('move', [-0.3346216702335878, 7.8643872663792775, -23.34789777665469])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "a9d522cad99fa7c4aab0cee96eadbf3c056db328cfa0383a6efcf321d9ac39a8"} +{"episode": 8279, "episode_seed": 4178969061, "split": "train", "timestamp": "2025-09-15T22:48:54.125693", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 4178969061, "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', [-24.192065516107544, 101.80536367706742, 6.295402340321583])", "action": "('move', [-24.192065516107544, 101.80536367706742, 6.295402340321583])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-24.192065516107544, 101.80536367706742, 6.295402340321583])", "action": "('move', [-24.192065516107544, 101.80536367706742, 6.295402340321583])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-24.192065516107544, 101.80536367706742, 6.295402340321583])", "action": "('move', [-24.192065516107544, 101.80536367706742, 6.295402340321583])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "83fecf919a05a150ce63c57b9de70373bed93e9fa378c7d19945078b315505ff"} +{"episode": 8280, "episode_seed": 287336171, "split": "train", "timestamp": "2025-09-15T22:48:54.733652", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 287336171, "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', [-7.8672530423350855, 2.1863835299299406, -22.829966277272963])", "action": "('move', [-7.8672530423350855, 2.1863835299299406, -22.829966277272963])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-7.8672530423350855, 2.1863835299299406, -22.829966277272963])", "action": "('move', [-7.8672530423350855, 2.1863835299299406, -22.829966277272963])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALSklEQVR4nO3dX4gVdR/H8c+cP2sJqZSIlqihVmu1oFQoKxEuJVnBSimFZEWauUFgxnYhRZAFkUZlaobVZvq4kYpWakE3XogXEUUk5IV/wvyfocYqe86eOc/FzPpUPF0Ee87MnM/7dbV4c+bC9/xm5vc9c4JqtSoAHnJJHwCA+iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjCSjuCrVZXLCsOkjwNocEG1Wk36GP6kWlUQJH0QQMMqJPz5UeG//qr161UoaNmyhI8HaGhJr/DlsopFrV2rjg7lcjp0SGPGSGKdB2oh6Xv4XE6SWls1YYLCUO++S+pA7SQdfD6vvj61tOieexQE2rBBv/0mSal6sgA0iqSDV//V+9NPa9gwnT6t1asVBKpUkj4soAGlIPh8XmGoW2/V3XdL0tatOnNGuRyLPDDgUhB8JAy1ZIkKBR04oE8/VS6nvr6kjwloNOkIPpdTLqepU9XWplJJX3yhCxdUKDCKAwyspPfh/2bpUvX26oUXdNVVEptzwABLeh/+n4ShwlCFlJ2PgIxLWfDVanwZn88nfShAA0rHPfxlQaBcTvm8vvtOH3ygcjnpAwIaSspW+L4+FQraskWLFumPP/TTT5o4UeJmHhgY6VvhJd10k4YNU7kcD+EAGCApCz6fV7msW25Re7uCQBs36uTJpI8JaBwpC179X6dZsEDDh+v337VqlYKAIRxgQKQv+HxelYqamzVzpiRt26ZTp5i0BQZE+oKXFASqVvXss7rySh08qO7uuk3a/vmswpgfGk8qg4+u6m+/XW1tKpe1caPOnVOxWOsEKxUFgfbuVUeHDh9mnB8NKN2jbM89pwMHdOedddiQr1aVz+vnn7Vkib79Vj/+qK4uTZigSoUhIDSOlO3D/02loqNHNW6cVI/3W4ah5s1Td7cGDVJvr26+WZ98osmT4+EAoAGk8pL+snxe48bFy3uNa4/OJwsXqrlZvb0qFrV/v2bP1p49KhR4HwcaRLqDl1SpqFiUpB9+UG9v7T4nOp/MmKEtWzR5ssplDRqkX37Rgw9q5874JR1A1qU7+OgGev9+3XGHpk/XwYOqVmu3Pxft90+apM8/V2urenvV1KSzZzVnTrxRUMsPB+oh3cFHmpp07px6euJ32tby2j566cbo0dqxQzNnqlRSsahLl/TII3r//Xi7kOaRXekOPnqn7cSJeughSfrPf3TsWK2bi1bya67R1q2aM0flsvJ5BYEWLdIbb8Q7hjSPjEp38Orv77HHNGqUzp/X228rCGp9Px2t5IMHa8MGLVgQ788XCurs1LJlce3c0iOLshB8GOrGGzVrliRt26aTJ+swaRs139Sk1av1/PMKQ1UqamrSa6/pmWdUKimX49E9sif1was/vo4ODRmiI0e0aVN9vk4TXb0Xi3r9dS1fLim+pX/vPT3+uC5ciKf+gQzJQvDRej5litraVKlo/XqdOFGHSVv1N5/LadkyrV6twYPjW/rubs2dq9OnaR4Zk4Xg1b9LvmSJikWNHKkTJ6Q6PTqLPrla1eLF+vBDDR+uSkWFgr7+Wu3tOnQofrAIZEK6R2v/Jgy1fbva2jR0aJ1/ST56uWY+r6++0pNP6vhxFYvxqzo2bVJLCyP3yIZMBX9ZGMZX2/UVDdXv26d583T4sJqaVCpp7Fht3qxp05I6KOBfyNr/0OjqOZfTpUv13w2P7tinTdOXX6q5WaVSPH77wAP65pt4PyGL50/4yFTw1aoKBV24oJUrNX68vv++zoNvQRA3P2mSdu/Wbbf9b/y2vV3btjF+i7TLVPDRY/kzZ7RunU6c0Jo1tZ60/b/yeVWrGjtWO3dqxox4r66nRw8/rI8+Yp1HqmUq+OiB+Pjxmj9fkrq7deRIIm1Fw34jRuizzzR7tsrl+Cu0Cxdq5cr4jEDzSKFMBa/+IZy5czVmjHp69M47CoJEtsKjSburr1ZXl554In62EATq7NSLLyqXi48USJWsBR/dQ99wg+67T5I2bdLRo/FldELHMmSI1qzR0qUKQ/X1KQi0fLk6OuK/GblHqmQtePUP3j31lEaN0nXX6ezZBH+dJnoxxhVXaMUKvfpqfArI57V2rR59VBcvMnKPdMnmPnw0dbNvn6ZOTcNvUV0eAlqzRp2d6umJy7/3XnV1acQIxnKQFtkMXvV4p+W/Ej2ly+W0ebM6OnT+vAoFlctqbdXGjRo3jrEcpEJmg1di83b/5PL47a5dmj9fZ8/G47ctLeruVnNz2s5RcJTl4FMpGr/du1dz5+r48Xj89vrrtWWLpkyheSQsRStkY4g25FtbtXu3JkxQqaSmJh0+rFmztGdP/NyecyySQvADL3p039KiXbs0eXI8cn/qlNrbtWNH/Nye5pEIgq+JqOqJE7V9u+66Kx65P3dO8+apqyu+CqB51B/B10q0MzdmjDZvVnu7SiUVCrp4UYsX6803VSgwfosEEHwNRc2PHPmX8dveXnV26qWX4vFboJ4Ivrai+/mhQ7VunZYujZf0alWvvKKXX5Z43TXqi+BrLpr0Lxa1YoWWL4/fvjl6tO6/X6r5b2QCf8E+fJ1c3oF/6y19/LFWrdL06UkfE/wQfP1cHr89dkzXXhv/Iys86ong6y1a6hm5QyK4h09AGFI7ksEKDxhhhQeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/BeskfRjy1Wk1AAAAABJRU5ErkJggg==", "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', [-7.8672530423350855, 2.1863835299299406, -22.829966277272963])", "action": "('move', [-7.8672530423350855, 2.1863835299299406, -22.829966277272963])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALSklEQVR4nO3dX4gVdR/H8c+cP2sJqZSIlqihVmu1oFQoKxEuJVnBSimFZEWauUFgxnYhRZAFkUZlaobVZvq4kYpWakE3XogXEUUk5IV/wvyfocYqe86eOc/FzPpUPF0Ee87MnM/7dbV4c+bC9/xm5vc9c4JqtSoAHnJJHwCA+iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjCSjuCrVZXLCsOkjwNocEG1Wk36GP6kWlUQJH0QQMMqJPz5UeG//qr161UoaNmyhI8HaGhJr/DlsopFrV2rjg7lcjp0SGPGSGKdB2oh6Xv4XE6SWls1YYLCUO++S+pA7SQdfD6vvj61tOieexQE2rBBv/0mSal6sgA0iqSDV//V+9NPa9gwnT6t1asVBKpUkj4soAGlIPh8XmGoW2/V3XdL0tatOnNGuRyLPDDgUhB8JAy1ZIkKBR04oE8/VS6nvr6kjwloNOkIPpdTLqepU9XWplJJX3yhCxdUKDCKAwyspPfh/2bpUvX26oUXdNVVEptzwABLeh/+n4ShwlCFlJ2PgIxLWfDVanwZn88nfShAA0rHPfxlQaBcTvm8vvtOH3ygcjnpAwIaSspW+L4+FQraskWLFumPP/TTT5o4UeJmHhgY6VvhJd10k4YNU7kcD+EAGCApCz6fV7msW25Re7uCQBs36uTJpI8JaBwpC179X6dZsEDDh+v337VqlYKAIRxgQKQv+HxelYqamzVzpiRt26ZTp5i0BQZE+oKXFASqVvXss7rySh08qO7uuk3a/vmswpgfGk8qg4+u6m+/XW1tKpe1caPOnVOxWOsEKxUFgfbuVUeHDh9mnB8NKN2jbM89pwMHdOedddiQr1aVz+vnn7Vkib79Vj/+qK4uTZigSoUhIDSOlO3D/02loqNHNW6cVI/3W4ah5s1Td7cGDVJvr26+WZ98osmT4+EAoAGk8pL+snxe48bFy3uNa4/OJwsXqrlZvb0qFrV/v2bP1p49KhR4HwcaRLqDl1SpqFiUpB9+UG9v7T4nOp/MmKEtWzR5ssplDRqkX37Rgw9q5874JR1A1qU7+OgGev9+3XGHpk/XwYOqVmu3Pxft90+apM8/V2urenvV1KSzZzVnTrxRUMsPB+oh3cFHmpp07px6euJ32tby2j566cbo0dqxQzNnqlRSsahLl/TII3r//Xi7kOaRXekOPnqn7cSJeughSfrPf3TsWK2bi1bya67R1q2aM0flsvJ5BYEWLdIbb8Q7hjSPjEp38Orv77HHNGqUzp/X228rCGp9Px2t5IMHa8MGLVgQ788XCurs1LJlce3c0iOLshB8GOrGGzVrliRt26aTJ+swaRs139Sk1av1/PMKQ1UqamrSa6/pmWdUKimX49E9sif1was/vo4ODRmiI0e0aVN9vk4TXb0Xi3r9dS1fLim+pX/vPT3+uC5ciKf+gQzJQvDRej5litraVKlo/XqdOFGHSVv1N5/LadkyrV6twYPjW/rubs2dq9OnaR4Zk4Xg1b9LvmSJikWNHKkTJ6Q6PTqLPrla1eLF+vBDDR+uSkWFgr7+Wu3tOnQofrAIZEK6R2v/Jgy1fbva2jR0aJ1/ST56uWY+r6++0pNP6vhxFYvxqzo2bVJLCyP3yIZMBX9ZGMZX2/UVDdXv26d583T4sJqaVCpp7Fht3qxp05I6KOBfyNr/0OjqOZfTpUv13w2P7tinTdOXX6q5WaVSPH77wAP65pt4PyGL50/4yFTw1aoKBV24oJUrNX68vv++zoNvQRA3P2mSdu/Wbbf9b/y2vV3btjF+i7TLVPDRY/kzZ7RunU6c0Jo1tZ60/b/yeVWrGjtWO3dqxox4r66nRw8/rI8+Yp1HqmUq+OiB+Pjxmj9fkrq7deRIIm1Fw34jRuizzzR7tsrl+Cu0Cxdq5cr4jEDzSKFMBa/+IZy5czVmjHp69M47CoJEtsKjSburr1ZXl554In62EATq7NSLLyqXi48USJWsBR/dQ99wg+67T5I2bdLRo/FldELHMmSI1qzR0qUKQ/X1KQi0fLk6OuK/GblHqmQtePUP3j31lEaN0nXX6ezZBH+dJnoxxhVXaMUKvfpqfArI57V2rR59VBcvMnKPdMnmPnw0dbNvn6ZOTcNvUV0eAlqzRp2d6umJy7/3XnV1acQIxnKQFtkMXvV4p+W/Ej2ly+W0ebM6OnT+vAoFlctqbdXGjRo3jrEcpEJmg1di83b/5PL47a5dmj9fZ8/G47ctLeruVnNz2s5RcJTl4FMpGr/du1dz5+r48Xj89vrrtWWLpkyheSQsRStkY4g25FtbtXu3JkxQqaSmJh0+rFmztGdP/NyecyySQvADL3p039KiXbs0eXI8cn/qlNrbtWNH/Nye5pEIgq+JqOqJE7V9u+66Kx65P3dO8+apqyu+CqB51B/B10q0MzdmjDZvVnu7SiUVCrp4UYsX6803VSgwfosEEHwNRc2PHPmX8dveXnV26qWX4vFboJ4Ivrai+/mhQ7VunZYujZf0alWvvKKXX5Z43TXqi+BrLpr0Lxa1YoWWL4/fvjl6tO6/X6r5b2QCf8E+fJ1c3oF/6y19/LFWrdL06UkfE/wQfP1cHr89dkzXXhv/Iys86ong6y1a6hm5QyK4h09AGFI7ksEKDxhhhQeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/BeskfRjy1Wk1AAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIyElEQVR4nO3dy69dZRnH8edd+xwOBaslMCAkMEAFlJoWUQbGAZJo8IIxKm0ZOBIE4y3xj9AEMSGKMMIJAxKjRplAKRe5WgpqEzUQIkhiBBFQovECdK/XwT5cZpy2B/fe/X0+o3Z38k6+51l7rafrtN57ARmGeR8A+P8RPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPARZiODHsXqf9yEgwMq8D1DjWMNC/NiBY9/8UxuGevrpuvHGuvfeeR8FjnVzm/C9V2v18st18811/fV14EDt3NkfeaRNJvM6ERz75jbhW1tv/oEH6sCBvmVLHTxYd95ZVb7Pw1tlnpf041irq/Xlq/opJ9dLL1Vr7epvT+d4HjjmzTP4YahxrB0726c+1caxqmr/geHee3trNfsrsLnmGXxrNZ3WMNSePeOWLb1a/evfdcN1Y5Xg4S0x57v0Kys1jnXhR4aLLux97K21u34x+c2v+2RShw7N92hwDJpz8LMhv7ZWl11Wx29pVfXX5/pNN1Vr1dp8jwbHoPk/h19drem0PnfpcM67p7331tott9Tjj/fJpKZu4cGmmn/wVdVaHX98XXnVUNWGoZ54sn7+s3mfCY5FrS/GU+/e67//rbPfNf3zXya917nn1t69ddpp68/qgU2xEBO+qlqrLVvqG98cxrFWV+p3v6u77rKBA5tsgSZ8a/X003XeefX889V77dhR+/fX2pohD5tmgSZ873XqqXXFFTWONZnUwYO17455HwuOLYsSfFX1XsNQuy6tk7b1cazW6jvfmlYZ77BpFij42ZDf/r7atavGsVerh341ufvu3rvnc7A5Fiv46aEahtq9q79ta7VWL73Uv/+9bsLDZlmg4KtqslLTaX3ow8NHL+rjtLfW7rlneOThGgZDHjbBYgU/u6pfW6s9e9qJJ1ZV/e3v/cYf9tnnwFFarOCramWlptP6zGfbue/ps03b225rv/99n30OHI2FC37muOPqS1cNrbVhqKee6j/9yYKsC8ByW5TFmzeanejll+vc945P/nGoqrPPrr1764wzvOIWjsoi1jO7Lb+2Vl//euu9Vlbqscdq377X/wk4Mos44V/z3HO1Y0c9+2z1Xtu31/79dcIJNm3hyC3ihH/NKafUlVeub9r+9rd1221VhjwchcUNfrZdu3t3nXTS+p+vudptejgqixv87Nn7WWfVF77Qx7EPQz308OSOfb13r7iEI7TQwc/eaXvp52vbtvXOr73WJT0cucUNvqpmr7X74AXt4o/VOPbW6r7724GHuk1bODILHfxrm7a797StW1tV/fMf/YYbqqp6t2wLh22hg69Xh/wln247d46992rtzrvawYPrL7QHDsuiBz8b8pNJfemKNpm0Yag//Wn88Y9GtcMRWOjFm9f0XocO1Y4d42OPDVV15jvr9r115pk1nZZfLw0bt+gTfl2v1dX62lfbbNo/8Ye69daqV+c/sEHLMeFnXnyxtm+vZ56p3uucc+rBB2vbNpu2cBiWZMJXVdW2bfWVr6xv2j76qE1bOGxLM+Fn/zH2qafq/PPrxRer9/rA+8dfPjT4Dg8btzQTfvZ1/Ywz6otfXN+0ffhXw77bex89n4ONWqbgx2kNQ33+c3XyyetXJd+9prfBVT1s1NIEX1XDSk2nteO89slPtOm0D0M9uL89cH+fbd0Db2qZgm9VvdfacbV7V73j7a33+s9/6gfXjVUezsGGLFPw9eqm7cc/2S64YKyqlZV29z2T++4r77SFjViy4Gdf11uryy+v3uuVV+qFF+rgwapy6w7e3NI8lnuj2abtxRfXCSfUZZfVJZfU1q02cODNLWvwrdWTT9bpp9fq6rxPA8tjKYOven2eHzpUk4nZDhuyrMHXq2+5lDps3BIHDxyuJbtLDxwNwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wH9He2arYtJZgAAAABJRU5ErkJggg==", "image_next": "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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": "bd9cfa3edf33e9db463f02a0c7773b8c311d91be5d26b428b9212140e87912a0"} +{"episode": 8281, "episode_seed": 3886816046, "split": "train", "timestamp": "2025-09-15T22:48:55.674270", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3886816046, "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', [-13.593629144859996, -6.5859515703383025, -31.273920734561063])", "action": "('move', [-13.593629144859996, -6.5859515703383025, -31.273920734561063])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJYElEQVR4nO3dT4tdZwHH8d+9MxM7iaXxT0nAGprUaBriRCkILvyDgr4Fd1Jw58aNK+k7cKO46ItwKa7cCAqKFAwR26bptJKWoLaVtNiMM5l7XJxr0tQiFubmTPL7fMjizp0M99l87/Oc5557zmwYhgAd5lMPALh3BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F1qceALTY38/+fubz5b9JzIZhmOaVockwZDabehBmeLgHxtp/9rO88UbOn8/nP58nn5zmLcAMD6u1WGQ2y40beeqpbG/nyJE8/XSefTZ7e9nYuNeDsWkHqzXO5C+9lMUiGxvZ3c3x45MNRvCwWuMaens7169nby+bm/niF5NMc0gveFitxSJJtrfzr38lybFjefLJJNNs1AseVmt9PUleeWX549GjOXs2wyB4eOAsFpnP8847+ctfls+cOpXNzeW0f+8JHlZoPIB//fU7M/zFi1N+Ji94WLnr1+/M8FtbU56BI3hYodsz/O5u1tczm+XixWSiLfoIHlZqbS1JrlxJkmHIQw8tt+gFDw+a8Vj95s288EKS7O/n7Nk8/PCUQxI8rNaNG3n++eXjL3xh4q/QCB5WZTyAf/vtvPjicm2/tTXtiAQPK3btWvb2lqffjDt2E35hTfCwKuO5dJcvJ8n+fjY2cubMtCMSPKzSMCyDv3Urp09PvGMXwcNK7e0tg09y4UI++tFJRyN4WKmdnfzpT8sdu/Pns7mZTPchfAQPKzLuzF29mps3lwfz4yk3U31tZiR4WKFLl5L/7Nh9+tPJpFv0ETys1Bj8YpHHHsujj049GsHDiowz+Rh8kieeyIkTyUQXurlN8LAS83kWi7z00vLHM2dy/PjEB/ARPKzCOL2/+GL++c/lM6dPZzbL/r5z6eGBM87kly9nZydJ1tdz+vS0I1oSPBy8cYb/85+XV6o9cWIZ/LQH8BE8rMIY/OXLywcnT+bxx5NJT7kZCR4O2DBkbS2LRV57bfnMyZN59NHlrWOnNfXrwwNnvOb8K6/krbeWz9zesZuc4OGAjcv4K1fy978nyXyec+eSQ7Cej+DhwI0z+dWrefvtJHnkkWXwk6/nI3hYke3t5VT/8MM5fz4RPDx4hiEbG7l1686dJ44fz8mT059yMxI8HKTx0tTXr+fateUz584ditRHgoeDNC7jX3str76aJLPZ9FeqfS/Bw0EaT6p9/fW88UZms6ytLYM/JJO84OEgjWGPB/DzedbWlpemPgw7dhE8HKBhyPp6bt1a3kxufz+f+EQee2zqYb2H4OGA3bixDD7J1tZhmdtHh2kscJ8bd+z+8Y87N5Mb1/OHh+DhgL35Zv7612xsHLot+ggeDtC4Y/fyy0kyn2cYlsFPe6Xa9xI8HJgx+PFWM7u7+djHlheuPDwEDwdpdzd//GNms8zn2dpa3mrm8BA8HIxx3b6zkytXMgzZ38/Zs9PfW+p91qceADwgxqo3N/PMM3nhhVy6lG99a3lXucNjNhye/QRgxczwcMD295dn1K+vH6LF/MgMD0Vs2kERwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR9YlffxiWD2azSccBFaYO/r87H4YMQ2YzbwFw4CYNfnc33/hGvvzlfPOb+epXc/ToXakvFlksMptlPhc/HIjZcHtRfe/t7uYjH0mST34yv/pVLl7MYpGbN7O9nVOn8sgjd/7n3l6SbGxMM054UEw6w6+t5fvfz3PP5XOfyxNPJMl8nl/8Ik8/nW9/O1tbuXAhZ8/ms5/N0aN3/eH4JmXahw9p0hl+9Le/ZWcnp04lyTDkBz/IT39657ePP55z53LuXC5cyHe+k2PHlsv+ZLngj/Lh/zV18Ht7dy3UhyFXr+bSpfz+9/ntb/O7393Zxj92LC+/nBMnkuTNN7Ozk099aoIBw/1s6uCTLBZJMr/7jIBhyDvv5K238oc/5De/yS9/mc98Jj//eTY3M5/n2Wfzox/lzJl85Sv5+tfzpS/l4x/PxoapHv63QxD8+3xg/0nefTcPPZRhyNpafvjD/PjHd361sZHvfjc/+cmdfX7gg0z9Ofx/u536+3bmxn278cnvfS9nzuS553LlSq5dy6uvJsmRIzlsb15wyBy+Gf5DeffdPP98fv3rfO1reeop0zv8b/dn8OM5OYtFjhyZeihwP7k/g79tGJblr619wGE/cLf7PHjgwzArQhHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5F/A+d81p6NUahCAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKG0lEQVR4nO3dW4ic5R3H8d/s7CFG6qFaiyjBQzwgib0oFWzxgLkwF9XiAeqBUDURJGKTi0bEXPROTCkVRVnFxEO1hVIvBEUFxUZQsZWA0gsPscUqIShEBDFudnbn7cUMhqiUmuzuzPr/fK7CTEIeNnzneeZ5n/dNq2maADWMDHoAwMIRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEz5DqdtM0gx7Ed06r8UNliDVNWq1BD+I7xAzPcOlNQJ1OtmzJ3/6WVss8P5cEz3Dp5X3nnbnttqxZk2efzcxMut1BD+u7wpKeITIzk9HRTE5m/fqMjKTbzQ9+kDffzPHHW9vPjdFBDwD6ZmczOponnsiGDWm3k6Tdzu2357jjrOrnjCU9Q2F2Nu12nn8+a9dmdjZNk9nZ3HprNmzoT+ym9zlhSc/g9Vby//hHLr88u3ZlbCydTtauzeRkWq2022qfM4JnwHpz+86dueKK/POfWbIkU1O57LL89a9pt9PtZsQydO4InsHbsydXXpnt2zM+nunpnHdenn46Rxxho27u2bRjYHpzzRdfZN26bN+esbFMT2flyvz5z2qfL1ZLDEav9lYrGzbkySczPp5OJ6edlj/9KSeeqPb5IngGoGn6SW/enK1bMzGR6ekcd1wmJ7NyZWZm1D5fBM8AzM5mZCR/+EPuuCOjo9m3L0uW5O67s2pVOp2M+qI5b2zasdB6F+EefTQ33JBut78Vf++9Wb++v2PP/DHDs6C63YyO5rnn8utfp2kyNpbZ2fz2t1m/Pk2j9nlnhmfh9C6q79iRSy7J7t1ptzM7m5tvzr33mtsXiOBZIL2k3303l16ad97pH6e7+uo88kjGxuzSLRBLehZCr/aPP8711+edd7JkSTqdrF6dycmMj7s3ZuEInnnX25mbmsq6dXn11f7h2Z/8JA88kCOP7O/YszD8pJl3TZPp6dx4Y556KqOjmZrKySdn69YsW+ar+0JzxZP51ZveN23K44+n3c7MTI45Jo89lrPP7r/FQjLDM4+aJiMjufPO3HVX/wrcxES2bcvPfmYlPxh26ZkvvQM2Dz6Ym27qv9LtZuvWrF2bTidjYwMdXFU+Y5kXvROyTz6Z3/ymf9imabJlS/+BNg7PDooZnrnX24p79dX88pfZtSsTE5mayqZN+d3v9t8kx0AInjnWuw1u585cemnefrt/wGbNmmzb1n9YldoHSPDMpV7tH32U1avzxhv92levzl/+4pkWQ8F3eOZMt5tWK3v35ppr8sYb/WdanHNOHnooRxzRf5fBEjxzozd7dzq57rq8+GL/6XTLl+fhh3P88S7CDQu7pcyB3mPku91s3Nh/2uz0dI49No8+mrPOcpxuiPjU5VD1ah8dzZYtmZzst/297+Xxx/PTn6p9uNi041D17nLfujW33JKZmTRNut089liuvVbtQ8eSnkPSOzz71FPZuDH79vVfueuuXHtt/6QdQ8WSnoPX23h/5ZWsWZPPP+8fp9u8ORs3pmnUPows6TlIvW35t9/O6tX5z38yMZF9+3Ljjbnvvn7qLsINIcFzMHqX2XbuzC9+sf843c9/nj/+MUcd1V/nM4T8s3DwZmaydGmS/gGb++/P0UerfaiZ4TlIvSX97t25+up88EG2b8+yZf6z12EneA5eL+9PP82ePTn1VLUvAoLnkHwZudoXBcFzqNzivoi4VMqhkvoiYhEGhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KGR0wH9/0/R/0WoNdBxQwqCD/3rnTZOmSavlIwDm3ECDn57ORRfl3HOzalXOPz9Llx6QerebbjetVkZGxA9zotV8uaheeNPTmZhIkmOPzQsv5Ec/SrebL77Iv/+dZcty5JH7f2enkyRjY4MZJ3xXDHSGb7dz883ZsSNnnJFTT02SkZE8/XSuvz4XX5yzz86KFTnttJx+epYuPeAP9j6kTPvwLQ10hu/5+ONMTWXZsiRpmmzcmHvu2f/uSSflzDNz5plZsSJXXZXDD+8v+5P+gj/Kh//XoIPvdA5YqDdN3nsvb76Zv/89r7yS117bv41/+OH517/ywx8myZ49mZrKCScMYMCwmA06+CTdbpKMHHgioGny2Wf55JO8/npefjnPPJPly/PEEznssIyM5P77s3lzTjkl552XCy/MOefk+9/P2JipHv63IQj+K76x/yR792bJkjRN2u1s2pTf/37/W2Nj+dWvcvfd+/f5gW8y6OvwX/dl6l/Zmevt2/VeXLcup5ySHTvy7rv58MO8/36SjI9n2D68YMgM3wz/rezdm7feyksv5YIL8uMfm97hf1ucwffO5HS7GR8f9FBgMVmcwX+pafrlt9vf8LUfONAiDx74NsyKUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wW1hIwRsZCU8wAAAABJRU5ErkJggg==", "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', [-13.593629144859996, -6.5859515703383025, -31.273920734561063])", "action": "('move', [-13.593629144859996, -6.5859515703383025, -31.273920734561063])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJaElEQVR4nO3dzY+dZeHG8euc6RTLSFBSETUSbXXEUNBIKi+CvJjiKzbqxp0xcefGjSv/BTe60v9Bo6FEG1MJUgwWbKCaRsQXDJWaEOtCaaWdzjm/xXkyQwv6owV6Zrw+n9XM/Zxz8iQz37nvc59n8oym02mADuN5nwBw6Qgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeigh+U5pOs7qa6XTe58FmM5r6rdk8JpNMJhmNsrAw71NhcxL8JjDrfDrN4uIwcuJEfv/7PPdc7rorb3tbptOMRnM9RTaJLfM+Af6j6XTofMuWjMdJcvx4fv3rHD6cRx7Jgw8myf335777srqaLX6SvAp+TTactSXX2tL9uedy4EAOHsyRI3nyyZw9myRbt2Z1NQcP5r77hmeZ5Pl/CX7+ptMh8tk0vtbts8/m/vuzf3+eeirHjuXMmWF8NMp0Onx77FhOn85ll9nA41UR/Ny8dMW+FvnJk3n22TzwQH70oxw9mhdeyGRyzrNGoywt5b3vzec/n71788EPDm/sTe+8GoK/1GadTyZZWFjfbP/rX/PMM/n5z/PjH+fIkWFwNpOvff3ud2fHjuzZk717c/31czhz/gfYpb90Xv6h2lNP5ciRHDqUAwfy298Og4uLmUyyujp8u2tXbrghH/tY9uzJ8vL6q81+biZ2Lojg33AvnaVnnnwyDz2Uxx7L4cN5+ulhcHEx0+mwIZdk9+7ceWd2785NN2XnzmHw7NmMRhmPdc5FEvzrb7YJNxqdn+Vjj2Xfvjz8cJ55JseODYPj8fqmXZLbb8/nPpfbbsvOnXnnO4fBs2cznWZhYdjVg4sm+NfN7M15cs5lcCdP5okn8sMfZv/+HD+ef/7z/GeNx9m2LTffnC99KXv25JprcsUVw6HZwn5h4RX+dsDFEfxrtXZZ+9plcKdP529/y9Gj2bcv+/bl+PFh/KWbcNu25R3vyA03ZO/efPazufrqc15zdXWIXOe8vgR/kdY229c6P3UqR4/mN7/JQw/lZz/L888P44uLWVkZvr7iilx/fW68MXffnXvvzVVXnf+asQ/HG0nwr9Xp0zl4MI8+mscfz6OP5u9/H8a3bs3KytDw0lLuuCO33prdu3PLLXnrW4fHnD077MCJnEtD8BdstiH3wgt58MHs358nnsgf/pATJ4ajW7as/+Pqm9+cT30qe/bkwx/O8nLe8pbhMSsrw4dzOucSE/wFm22kfeYzefjhnDx5/tHRKNu3595788UvZvfubN+ebduGQ7OP3MZjm+3MjSvtLthsWl5ezk9/uj545ZW5+urcc0++8IXcfnuWltYPza6fHY/9QxvzZ4a/YLMl/aFDueWWXHNNlpdz88359Kdz993nP2zGup2NQ/AXaWUl3/9+PvKR3HbbMPKfrreBjUPwr9Xa5THembPxCf7irawMO3CmdDYLwUMRy1AoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoMu/7G7oDG1xC8w7+5Z27RRu8YeYa/Jkzueee3HprPvGJfPzjufzyc1KfTDKZZDRyMyd4vcz1VlNnzuSyy5Jk+/YcOJAPfSiTSf797/z5z7n22lx55fojV1aSZHFxPucJ/yvmOsMvLOTrX8/hw/nAB7JzZ5KMx3nggXz1q/nkJ3Pjjdm1K+9/f5aXc/nl5zxx9kfKtA8XaAPcTPL55/Pii7n22iSZTvONb+S7310/+p735Lrrct112bUrX/5ylpaGZX8yLPijfHi15h38yso5C/XpNH/8Y44cyaFD+eUv86tfrW/jLy3lT3/K29+eJCdO5MUX8653zeGEYTObd/BJJpMkGZ97RcB0mn/9K//4Rx5/PI88kp/8JO97X37wg2zblvE43/tevvWt7NiRO+7IXXflox/NVVdlcdFUD//dBgj+PK/Yf5JTp/KmN2U6zcJCvvnNfPvb64cWF/OVr+Q731nf5wdeybw/h3+5tdTP25mb7dvNBr/2tezYkcOH8/TTOXYsf/lLkmzdmo32xws2mI03w1+QU6fyu9/lF7/InXfmpptM7/Dfbc7gZ9fkTCbZunXepwKbyeYMfs10OpS/sPAKb/uBc23y4IELYVaEIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8HWpobMw3HmAoAAAAASUVORK5CYII=", "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', [-13.593629144859996, -6.5859515703383025, -31.273920734561063])", "action": "('move', [-13.593629144859996, -6.5859515703383025, -31.273920734561063])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "05795a44f4f9a454efa8935d23dd93698b46efdddafb15146cfec8d2993aeb7b"} +{"episode": 8282, "episode_seed": 3207866764, "split": "train", "timestamp": "2025-09-15T22:48:56.278208", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3207866764, "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', [2.243155829572872, 13.154135112919386, 13.578185413062167])", "action": "('move', [2.243155829572872, 13.154135112919386, 13.578185413062167])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.243155829572872, 13.154135112919386, 13.578185413062167])", "action": "('move', [2.243155829572872, 13.154135112919386, 13.578185413062167])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.243155829572872, 13.154135112919386, 13.578185413062167])", "action": "('move', [2.243155829572872, 13.154135112919386, 13.578185413062167])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIp0lEQVR4nO3dX8iedR3H8e/vup81Z2MiakNnbKE4wxRFCVErPHBJqHUQaCLY1kFhpUlIEJ2LR0IkHpXRrCR1pXYiG9gk/21FwwY6Mv9kmriD6Q7G5p77+nVwPwQDPcxnuz+v1+F99IPned/f68/vuu7Wey8gw7DcCwA+PoKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKfE73XdLrci+C4J/h5sLhYrdVkUr0v91I4vgl+Hiws1Acf1K5d1dpyL4Xjm+BPYLN5fuhQbd1aV19dt95aL75YVY7t+UiCP4HNwt6+vW67rZ59tl5+uf/ql2OVA3s+kuBPYLOT9k2basP6vrBQw9Aee6K99FJfWDDk+XCCP4G1VuNYq1bV7bfX4mINQ73ySj3+WI3jcq+M41Xrjv9OfIcO1ecuGF9/Y2itNmwYn366rVvXxrEG3+ccy3/ECa/3Ovnk+sGdrfeaTOrVV9sfn6gqV+z5ECb8CW/2B9z/br/00v72f4aqOucz07/tGT65uvUue45hwp/wWqvW6lNr223fHWaH8f/45+SRR4XOhzDh58F0WpNJvfJKfeGq/u7+No510UW1e3etWGHCcwwTfh5MJjWOdc459c3NS9fq9u6tbdt6a+7PcQzBz4nZ6frXv15nnllVNY51//1tOjXhOYbg58RkUouLdfHF9ZVrx3Hsw1C7dvUnHu/DUIuLy704jhuCnx+zB+Y2bxlOP616r8OH2y8eaOO0WrPZliWCnx+zIX/lVXXlFb2qhqF27uw7dvTZGT6U4OfMbGvdXT8aJkNvrQ4erIceqsOHDXmWCH6uDEP1XldeWV/6Yp9OazJp237f9+7ts89B8HOo9/rxT4aqsbV6//324INtOhryVNl4M6+OHKlrvzz+aecwmdSKYXxpX1u/oZUN9vFM+DnUe61cWXfcMbTWh6EOHx1+dl+b7cAlnAk/h2ab7Q4c6NdfV88824ah1qypffvqjDOqDPlsJvwcGoaaTuvUU9vmLUtxv/de3Xvv0gszSCb4+TS7RHfddXXJJUuRP/xwvfNOuVwfTvDzaTbk166tm27qVTVM6rXX+gM/H1uz0zaa4OfWbJjffHPbeF4fpzWO7XePtP37a2GhRo/QpRL83Jo9NnP22fW1r47DpNpQe/bUo490N+STCX6eLSxU7/X9OyannTpWr6r269/UgQN9suDqXSjBz7PZHbh16+rGG6v3Wlio556rHTvcl8vlPvz8G8d6883aeN54dDqM07rmmnHbtmH16vKKy0Am/Pwbhlq/vrZ8axintWJFbd9eu3cv95pYJoKff7NjuO98u5+8auxVVcM991TZchdJ8BF6r43nt5u+MSwercmknnyynn++ene5Po7g599sR+3KlXXzzbV69dInd9/tgdlEgo8wDDWOddVVtWnT0ourd+6sXbuWPieH4CP8b8jfckutWlVVdfBgv++n0yovrs8i+BSzV1lef31dfvnsVmzb8dTw17/0FSvsrg8i+BSzIb+wUFs29xWfqNbq7bfrod92d+Oj2HiTZRzryAd1xefHPX8f2lDrzhx37Ggbz2+zX6dj7pnwcVadVLd9r1XVZKh/v9W2basqz8mnMOHj9F5HjtQFn52+/q9JVa3/9PjnZ9pZ6/yYfAQTPk5rddJJ9cO7JuPYJ5N67Y3hD48t95r4uJjwcWaTfP+7/dJLxrfembRW557bX3ihnXLKcq+M/z8TPs7scv1pp7fb75yMY59Oa9++9tRTVeU0fv4JPlHvNQx1ww111lntwgtr69a67DJPy0ZwSJ/r6NF6/fVas6bWrl3upfBxETw1juV3aUIsLPcCWE6zb/vBiV0MwUcz1dP4bocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wWu9+RSUPwTvgAAAABJRU5ErkJggg==", "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": "0ecdf42093ac8f3f2b080fe648c4b864fb305e63ef9893f11b0e7d4363f6970a"} +{"episode": 8283, "episode_seed": 3519783095, "split": "train", "timestamp": "2025-09-15T22:48:56.884934", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3519783095, "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', [17.849725119086717, 5.189986088898739, 8.117402817289417])", "action": "('move', [17.849725119086717, 5.189986088898739, 8.117402817289417])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [17.849725119086717, 5.189986088898739, 8.117402817289417])", "action": "('move', [17.849725119086717, 5.189986088898739, 8.117402817289417])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [17.849725119086717, 5.189986088898739, 8.117402817289417])", "action": "('move', [17.849725119086717, 5.189986088898739, 8.117402817289417])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGxElEQVR4nO3bv6tfdx3H8dc532+uQ2Ml0KGYTWk3HUq7qskU6NalqAGlpJm6FFMFbRFqh7SDolHwV9Q/oCShEbqLujVIl26idWiLEklTlObe7/k43IvppJLm3lt8PR7z98v5LE/en/M550xjjAAd5sNeAHBwBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA93wRhZlsNexP9gGmMc9hrg/8QYmabDXsR/ZMLDh7I72N94I9eu3a79IztGBQ93bozMczabnD+fkyfH00/nrbeSZJqyLB/FTb4tPdy5Zck85/LlPPZYpilj5Ngnlm8+O33pi/nk8SnJ9nbW64/QPt+Ehzs3zxkjr7+eJGNkayt/vzE/80xOfGH87Kfjb3/NkSNJstkc7jJvM+Hhzu2e0t28mZdfHhd/nt/9Psm0tZVbt5Isn//cdObJ6fTpJNlsMs+HP+oFD3fHO2+PS5enl84vf3pzTnLkSLa3M885cSLnzuXUqb2fHe5JvuDhwxojOzt7u/e33x4/+fH43ndz4+acZJ6zLDl6dJw8MV54Yf7MZ/f+snvzf/AED3fHsmSa9qb3X97M89/JpUu5fv32D9ar5cmz07mv5VOfnpLs7GSeDzp7wcPd9MEd+2uv5cUX8+qree+9rNfZLBlLPn7P5uvfmB9/PA88eAjH+IKHffHvTfuvr46Lv8iVK0mmrY/l1q1kjAcfGGfP5itfne67bxpj73n+ARA87Jfdd2/W67z/fq5ezYXvj9/8Nsm0dSS3tpOMRx6ZzpzJ2bMHtyTBw/7a2cl6nSTXr4+rV6fnv7388c9zkvU6OztZrfLww3nuuTz66N4Lufu6vRc87Lvdb+lWqyR5991c+MHyox+Ot95ZJVmtstlkvV5+9cvpy6en7e290/594k072HfTlNUqYyQj996bbz07X/vD6qmncvx4NptsbWXZzP/450Ec3AkeDsg0JVOSjJH778+FC3nllTzxRI7eM5axN//3m+DhoO1+ZrO9nYceysWLuXxlOnVqWa9H9vkGPu7h4RDtflSzWuXGjbEs07Fj+35FwcNh+uB53gEQPBy+A3ggt2u971cA/psDe7XWoR0UETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU+RcykCXZ17gKwwAAAABJRU5ErkJggg==", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGxElEQVR4nO3bv6tfdx3H8dc532+uQ2Ml0KGYTWk3HUq7qskU6NalqAGlpJm6FFMFbRFqh7SDolHwV9Q/oCShEbqLujVIl26idWiLEklTlObe7/k43IvppJLm3lt8PR7z98v5LE/en/M550xjjAAd5sNeAHBwBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA93wRhZlsNexP9gGmMc9hrg/8QYmabDXsR/ZMLDh7I72N94I9eu3a79IztGBQ93bozMczabnD+fkyfH00/nrbeSZJqyLB/FTb4tPdy5Zck85/LlPPZYpilj5Ngnlm8+O33pi/nk8SnJ9nbW64/QPt+Ehzs3zxkjr7+eJGNkayt/vzE/80xOfGH87Kfjb3/NkSNJstkc7jJvM+Hhzu2e0t28mZdfHhd/nt/9Psm0tZVbt5Isn//cdObJ6fTpJNlsMs+HP+oFD3fHO2+PS5enl84vf3pzTnLkSLa3M885cSLnzuXUqb2fHe5JvuDhwxojOzt7u/e33x4/+fH43ndz4+acZJ6zLDl6dJw8MV54Yf7MZ/f+snvzf/AED3fHsmSa9qb3X97M89/JpUu5fv32D9ar5cmz07mv5VOfnpLs7GSeDzp7wcPd9MEd+2uv5cUX8+qree+9rNfZLBlLPn7P5uvfmB9/PA88eAjH+IKHffHvTfuvr46Lv8iVK0mmrY/l1q1kjAcfGGfP5itfne67bxpj73n+ARA87Jfdd2/W67z/fq5ezYXvj9/8Nsm0dSS3tpOMRx6ZzpzJ2bMHtyTBw/7a2cl6nSTXr4+rV6fnv7388c9zkvU6OztZrfLww3nuuTz66N4Lufu6vRc87Lvdb+lWqyR5991c+MHyox+Ot95ZJVmtstlkvV5+9cvpy6en7e290/594k072HfTlNUqYyQj996bbz07X/vD6qmncvx4NptsbWXZzP/450Ec3AkeDsg0JVOSjJH778+FC3nllTzxRI7eM5axN//3m+DhoO1+ZrO9nYceysWLuXxlOnVqWa9H9vkGPu7h4RDtflSzWuXGjbEs07Fj+35FwcNh+uB53gEQPBy+A3ggt2u971cA/psDe7XWoR0UETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU+RcykCXZ17gKwwAAAABJRU5ErkJggg==", "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": "0132b6b7561e82f9ea10fb8b71fa33e3d20e8cad93be75b268b90030277d9148"} +{"episode": 8284, "episode_seed": 1676251084, "split": "train", "timestamp": "2025-09-15T22:48:57.490687", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1676251084, "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', [2.872165709460654, 4.110248650606915, -35.98934952219005])", "action": "('move', [2.872165709460654, 4.110248650606915, -35.98934952219005])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.872165709460654, 4.110248650606915, -35.98934952219005])", "action": "('move', [2.872165709460654, 4.110248650606915, -35.98934952219005])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.872165709460654, 4.110248650606915, -35.98934952219005])", "action": "('move', [2.872165709460654, 4.110248650606915, -35.98934952219005])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "7aa71543fd029b7e7940ff5a6ec62d2da926d71d232fa46f67f58caead37a017"} +{"episode": 8285, "episode_seed": 1068496168, "split": "train", "timestamp": "2025-09-15T22:48:58.434628", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1068496168, "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', [-0.3088036739205307, -0.3850054508599692, 25.063493781086418])", "action": "('move', [-0.3088036739205307, -0.3850054508599692, 25.063493781086418])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJb0lEQVR4nO3dy68UZR7H4V919wEVHDGiGKMCotEICDFeEQ3EzM61i1m4n4X/hXE9mc38DbNz68ZoRCFo1EQh44VoMGgMoCgg8dDdNYsquXhZmNDVxu/zpBd9qouTykl/qKr3ra5u2rYtIMNo2RsADEfwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEGSy7A0I0rb9k6ZZ6nYQTPDD0TlL55B+IBcu1OHD9fLL9dxz9cEHVVWz2ZI3iUD28AvXttU09e679cwz/ZLnn6/du+3wWQJ7+IXrwt69uzZsqPG4mqYOH67ZrEb+9gzOm24gN9xQe/fWbFZtW2++WWfOVF0xjAfDEPxAxuPat6+qamWljh6tU6eWvD1kEvwQ5vOqqqeeqqpqmppO69Ch/jkMSfDDufPO2ry5Vlerql57bdlbQyTBD6Hbk2/cWHv29D++/npNp8vdKBIJfghNU/N5XXddPf54VdV4XMeP18cfL3uzyCP4gXSn8du318pKzWbVNP1RfbcchiH4gXSz7tu21f33V9tW29brr1eZmWNYgh9I01Tb1ubNtWtXv+S992o6dfkNg/J2G0g3Gzca1Y4d/ZIzZ+rQoWoaF9UzHMEPpxur37Wrbryxqurs2XrrrSqn8QxI8MPpjt4ffri2bKmqms3q8OH+JWfyDEPwwxmNajqtTZtq69Z+ybFjdfJkTSaCZyCCH1QX9mOP9Yf3x4/X++/3s/QwAMEPajyuqtq7t/72t6qq777rb4ZhD88wBD+o0ajath55pDZs6Jd8+GHNZv1/BLBogh/afF7r1tXOnf2PR47UiRM1GjmqZwiCH1p3Bc6zz/bPP/qojh2rMjnHIAQ/tKappqn9+6tpajyuixfr6NF+OSya4IfWhb19e91xR3+N3aFD9dNPNR4bumPhBL8ck0nt29cXfuCAO14xEMEvQdf5pVvcffFFffXV5eWwOIJfmief7J80TX+LO5+cY9G8xZZm06Z68MG6eLHatl57zWfmGILgl2bDhnr66WqaGo3qzTfrxx+XvUEEEPwSdBfPTyb1xBPVtjUe1+nT9dFHVU7jWTDBL0cX9gMP1Lp1/cG8G1czAMEvRzcbv3lz7dzZX2PXBW8Pz0IJfjm6o/rbb6/du/slR4/WDz/0n66BBRH8cnS3smuaeuihfm///ff19ttVdvIskuCXppt137GjNm6sqrpwod54o9rW/BwLJPil6Y7eH3qotm3rl7zzTj9LBwvizbU03Y2rb7qp7ruvX/Lll3XiRI3HPirLogh+ydq2Hn20JpOqqhMn+mtsBc+CCH6ZRqNqmtq7t26+uarq/Pl6770qwbMwgl+m7jR+167atKlfcuRIXbxYKyvG6lkIwS9TNzk3Gl01G//ZZ/1tsOCaE/zVui92/fXjj67ze6v9ap1R01bb7t/Xdof3n39en35a5aiexRD81bo7zv368UfX+b3VfrVOM26qafb9vVlZ24/bd5+iMTnHIkyWvQF/Jh9+WAcP1tq1NRrVaFSTSY3HNR7XaFTPPNMPrJ09299K/spXJ5MajWrjxsvn4idP1upqraz043L1891qV1Zq/fq+5osX69y5Zjyuqns21NY71/3v03FVHT5c587V+vXVtu5sybXWcslLL7VVv/04cKBf59Ch9oYbfnudF19s27b96ae2bds9e3756po1bVW7Z0/7zTf9r3rllfaWW9otW9qtW9t7t/3zlv+ORu1kMr/77vbzz9u2bWezwf8C/NXZw1/hrrtq9+5+JG0+v3ziPZ3W+vX9OmvX1rZtderUVavN5zWdXv42maq6/vpqmlpZqem0Px1fXa2qOn/+8l7722/r9Ok6fbr76dn693/q+fm8PX68+eCD/htm4dpqWsPBl5w9W99+W1U1n/ePLubZrO65p66/vqrq/Pn65JNaXe1fuvSYTmvLlrr33prPazSqgwfr669rMun/U+iav3ChNm2q/ftrzZqqqmPH6tVXa82adjpr2tUvvrvlsX/9Y/uD7SOPNi+8cPmraeAaEvyfxbTq4yN16611223L3hT+ugR/hV/MnF35/NLYW7dj/8W/urTOpbH12ey3J+qapr+Mtqo/drjk55e6X2+UnkUQ/J9Il/pvzt/BNSF4COLAEYIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8H896rNQLdQVoAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [-0.3088036739205307, -0.3850054508599692, 25.063493781086418])", "action": "('move', [-0.3088036739205307, -0.3850054508599692, 25.063493781086418])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.3088036739205307, -0.3850054508599692, 25.063493781086418])", "action": "('move', [-0.3088036739205307, -0.3850054508599692, 25.063493781086418])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJV0lEQVR4nO3cXajtZYHH8d962fscw6AgOAW9H5mUvMiY0jGKZC60IKiItiKIoEhRQUXoRbdRDGFjFAQhTQ3JkdjSyWjGYmDoBXRGhCGlQjZDL5ZYcgY8Hg/uvdb6d7HX7LN1TunkPu5jv8+HdbFh/dfafxZ81/Os5/+sNRqGIUCH8X6fAPD8ETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUEfwzmM+zWOz3ScAeGQ3DsN/n8AKwWGQ0ymi03+cBz40R/vS23wa3tnLkSH7844zHy9qHId4heeEywp/eYpHxOBsbufjibG3l8stz00256KJMJkkyn596C4AXECP86Y3Hmc/zxS/m2LGcPJn19bzlLVlbyw9/mBMnMplkNMrWltGeFxjB/0mbmzl2LNNpZrNMJplOc8cdeec7c801ufPOPP54VlYyGmU22+8ThWfNlP7Pmc3y7W9nfT3f+laSTKfLgT3Ju9+dD34wV12V1dXlMv7YmydnPcE/s83N/OhH+frXc9ttSZaf3ufzjEZ529ty1VW54YZMp8uDh8Fne85egv9zhiHz+TLmJ5/MAw/k5puzvr4c5MfjLBaZTHL++fnQh3LddTnnnOWjhsGAz9lI8M9sGJZhb/vZz/LZz+b738+jjybJZJL5PEle85rceGPe//68/OVJMptlNDr1KDgbCP7Z2n6ddqbrDzyQL385d92VX/0qSVZWlsP+q1+dj38873pXzj8/Sba2MpkY7TlbCP7/bfeM/ac/zZEjWV/PxkaSrK5mczNJXve6XH111tZy4YVJluv8Ptuz7wT/F1osMp9nZSVJfv7zfPe7+cpX8stfJrtG+8OHc8UV+chHcsEFy0dZ0mN/Cf45mc8zDMtVvYceyne+k89/fjnJ376An+QVr8jll+fGG09lb2c++0Xwe2D3TtvHHsvtt+fmm7Oxsdyfu32V/uDBfOAD+eQnc+GFy3mBeT7PP8Hvmd3T9a2t3Hprvva13HdfhiGTyXKpP8nVV+f663PJJTl4MElms1PX8OFME/ze21nPn83yjW9kfT133ZUk0+nywn6StbVceWXe855TV/VcwON5IPin+lOvxu6Z97M6JvP5MB5nNM7JJ/Iv/5pvfjNHjyYZ7Yz243GuuCJra7nmmqc8q0k+Z47gz6AhmSUrSZLHN3PvvbnlH3PnHUkyHmcYhmEYVlfHb35zbrgh1177lK/cu3TPmSD4Xe6/P3ffnQMHMh5nPM50mslkuW/mHe/IS1+aJMeP5/77lxtud+6dTjMe52Uvy6FDy6f6wx+yuZmVlYzHQ0bzeaYHR1kZNp9Y+a+Ncz/3D+Mf/CBPPJFMM5rNh4wmk/Eb3pCbbsr73pcXvzjJcq++7NljAzs+85khOf3tJz9ZHnPPPcOLXnT6Yz72sWEYhiefHIZhuPTSp927WFmdJ8PbLx3+55FhGO79j/mVl/3u0Orvc2DIwWEyXR71N+fNb711+PWvl/9tNtuHl4G/YhaId3nVq/KmNy2/CrdYLOfWw5DZLOeeuzzmwIEcPpxHH33KYYtFZrO85CWnnuqcczIaZWUls9n26vxoa3OU5LETw9YoQ/72reMjH/7ef/77p/8pn/he/v43uSiZrqyMHtwYXX99Lrgg112X9743hw8//68Cf81M6Xc5fjzHjiXJYrG8bcc8n+f1r19+Fe7EiTz4YDY3l3ft3GazvPa1Oe+85XLc3Xfn4YcznS7fFLavyJ08mUOHctllWV0dFplv/Pf0345mMty39Xd3/OaSf75t/NvfDsloZ6PeG9+YT30q116b+dwaPntD8PtpngzJ9izrF7/I0aO55ZY88kjyv9vyv/SlfPSj2dpa7tWB50jwuzztJ2l3/737Z2uf9jv1O4dtL/Vt295z+3+ffzQ6tc9me+6QzDMZTcbbD3344dx+e77whTz0UC6+OPfcYx8ue0nwZ4vtjwLbjh/PV7+aV74ya2vm8+wlwZ9dfJ2OM8p13rPLTu07K32wh4zwUMQID0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+CHWr0QW8cxzVAAAAAElFTkSuQmCC", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFJUlEQVR4nO3aTW7UWBhA0c9+SW8gE1bBgE0gsQVmbIdlsSHIAFCg4h4kAhF+BC3S6eaeozd4ZbtKT5auq2TXdhzHAA37Qy8A+PcIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgR/K3jeOgVwP07e+gF/Fds2zc2PshV4Jsrgd9C8DMzHz7Mu3ez77PW7Pucnc2+z7Zpjz9NPfjTadaaV6/mxYu5vPxc+M1k22bbjrUf62xfa9bZrO1Yc1rrWGvWmrM169M439df63a+Xa91rPNtrZsxPx43l5jz8/n4cZ48mWfPZq0HPCv8serB37i6mtev5/Jy5hs/47eZ7cuXP3PS/vnNkefP5+nTWWuOw08MfjPBz8y8fTtv3jz0Ima2bY5j1tI596Ue/L7PzDx+PC9fzvv3c309p9OcTnMct5Pr69txM/+05c6ur4/8+i0/PvJ0mn2fy8u5uBA892U7PI/6RcfxeVxf353cmX9v1/eOv7qai4t59Ejz3AvBz8zt9/l8+Ujszg288cCM/z/B/8hvOTe/+iEeB3J/BA8h/loLIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkb69Q3DIHbM7iAAAAAElFTkSuQmCC", "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": "eb983e44652f24e107e303137abe797f2ccc42e399821346e2e813760e487510"} +{"episode": 8286, "episode_seed": 2301064905, "split": "train", "timestamp": "2025-09-15T22:48:59.039816", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2301064905, "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', [-0.004310244176177388, 1.7136866706898326, -6.419055024479529])", "action": "('move', [-0.004310244176177388, 1.7136866706898326, -6.419055024479529])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKrklEQVR4nO3dz4tV9R/H8dc5584PnZkYywlpkUpZYQuZQimyMsO0QSolXJhCi0Csf6BNy4L2Ra3CAmsVlSJaRin0A8IsykEtmBCiQqz54agzzj3ntDinr9/Nl5q559v53Pt6PpZ39V7Mcz6fc8/nnBvleS4AHuK6BwDw7yF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBByzPlabKsrrnQOeI8jyvewYA/5JG3QPgfxsf19mzWrxYt92m3t66p0EnYEsfpGLb9dFHuvdejYzo558lsbdH6wg+SEXwAwPq6tLixaSOqhB8wPr7NTenixd19Wrdo6BDEHzAenuVJJqd1dyc9NeyD7SA4AMWx0pTjY/rypW6R0GH4Fv6gC1Zog0blCQaHJSkKKp5HrQ/7sMHLMs0O6ueHsVsxFANgg9enrO2oyosHcGjdlSHa/iAXb6sI0c0OqqtWzU8XPc06AQEH6RiGz81pZde0tdfa2BAw8Ps7dE6tvQB6+7W0JDiWLOzEnt7VIDgA9bVpUWLlGW6eLHuUdAhCD5gjYb6+iTp0iWO06MSBB+wYoUXwaMyBB+wRkOLF0vSpUtKU4nj9GgVwYfqv5+QnZ4ugwdaQ/BBiqIy+DjW3JwuX2ZLj0pwtDZsv/6qc+c0NKSVKzlRj9YRPGCERQMwwtHaUBUHaScmdPasmk2tXavu7rpnQtsj+FClqRoNffWVdu1Smmp0VMuWcZweLSL4sDWbunBBeV6+1g5oDdfwYVu0SNddpzjmtXaoBMGHqti69/Sou1tZpqmpugdCJyD4sPX0lMfpp6frHgWdgODD1turnh5JPCGLShB8qP6zpS9+RrIInq/o0RqCD1tPj7q6JHENj0pwWy5UxWI+OKjdu7V+ve66q+6B0Ak4Sw8YYYUPXrOpLFOSKEnqHgVtjxUeMMKXdqHK8/KlFy+/rDVr9PzzdQ+ETsCWPlRRpDRVHOv0aX33nW66qe6B0AlY4QNWrPCDg4pjNZt1T4NOQPDB6+lRlmlysu450AkIPnjFm6o5eIMqEHzAirM3RfCs8KgCwQevr09JotlZ3lSN1hF88Lq7laYaH+cJWbSO23IBK15Ef/PNuu8+9fVd+7UpnpnDQnHSLmBF2zMzmp5Wb6/6+kgdLSJ4wAhb+uDl+bXfmQNawwoPGGHRAIwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4EORZcqyuodAp2vUPQCU58pzxfzvxf8ff2X1iyLFsX76SZ9+qsnJuqdBRyP4OhVr+9iYXnxRmzdr40Z9/LEkzc3VPRk6FMHXKc8VRfr9d73wgn78UXGsgweVpkqSuidDhyL4OsWxskxr12pkRHGsPNfRozp1SnGsNK17OHQigg/C00+X39v98os+/FB5XvdA6FBRzh9XAJpNrVqlc+ckaXhYhw/rxhvLDT9QIVb4IDQa2rNHea4k0cmTOnGi7oHQoQi+fsUea8cO9feXq/obbyhNWd5RPYKvXxH28uXatk1pqjjWoUMaG5PExTwqRvBBKG7F7dolSVGkmRnt21fzSOhIBB+EKFKea3hY999fbubffFMzM+zqUTGCD0Jx431oSE88UV7G//ab3n5bEjfkUSWCD0WxmD/6qJYvV5YpTbV/P3fmUDGCD0WSqNnU7bfr4YfLT775Rl98wak7VIngwxLH2r5dAwOSNDGhd96RxHPyqAzBByRJlGUaGdHq1ZKU5/rkE42NqdFgkUc1CD4gxXf1UaSdO8uH5E+f1tGj5edA6wg+LEmiPNfOnRoaKnfy77+v6Wk1GjSPChB8iJYu1bZtkpQkOnZMJ09KnLpDFQg+RHmuZ5+V/jp19+675ZFboEX8EQUnihRFuuMObdpUdv7WWzp/XmKRR8sIPkR5ru5uPfNM+cDsxITee08Sh3DQKoIPUbGSr1+vW28tX2j52mvcmUMFCD5Exbvuli3TU09JUpLo1CkdOyZxCAetIfhAZZniWJs2aenS8ub8q69KXMajNQQfqOLU3T336IEHlGXKc335pc6cKRd/YGEIPlBRVL4V47HH1NVVPjC7f3/5ObAwBB+uRkNZpq1btXp1uZM/ckSTk5y6w8IRfLiKxfyGG/TII+XN+dFRHTqkKFKzWfdwaE8EH7RiMd+zR/39knTlig4f1uxseeQemC+CD1rxnNwtt2jjxvK7+oMHNTrKV3dYIIIPXdH83r2SlCSanNSRI+VNO2C++Kmp9jA3pzVrdOaMJK1apc8/v3Z/HvjnWCbaQ1eXnntOea5GQz/8oM8+4xoeC0HwbaBoe/NmDQ2Vb61/5ZXye3tgXgi+baxcqSefLK/ejx/X998rz1nnMT8E3waKG+9JoscfL2/UNZt6/XXedYd5I/j2UNx4X7dODz2kLFMU6YMPNDlJ85gfgm8PxSK/ZIm2bFGSSNL589q3j1N3mB+CbxtF59u3a8UK5bnm5nTgAKfuMD8E3zbiWM2mVqzQhg3lJydO6PhxfosK80Dw7aS4Yt+9WwMDiiJNTengwWufA3+L4NtJsXt/8EHdeafiWN3dOnBA335bvi0D+FsE35b27lWa6upVXbyoCxfqngbtg7P0bWlyUjt2aN06bdmiu+9Wb2/dA6FNEHy7+uMPXX993UOg3RB8WyqekytebhnHHKrHP0Xw7YpnY7EAfGnXrqgdC0DwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyJ++zYChCrlORQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [-0.004310244176177388, 1.7136866706898326, -6.419055024479529])", "action": "('move', [-0.004310244176177388, 1.7136866706898326, -6.419055024479529])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.004310244176177388, 1.7136866706898326, -6.419055024479529])", "action": "('move', [-0.004310244176177388, 1.7136866706898326, -6.419055024479529])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "0f48b3a4df418bcee87bbc71e7711e1b0134db974b2b1787d82440f6b6d26ea9"} +{"episode": 8287, "episode_seed": 3980988366, "split": "train", "timestamp": "2025-09-15T22:48:59.648917", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3980988366, "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', [9.360368506686106, -6.366314777948699, -38.417550545931455])", "action": "('move', [9.360368506686106, -6.366314777948699, -38.417550545931455])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKhUlEQVR4nO3dW4hVZQOH8WfvPVsLS0LIUik0ibQCS7PopiY6IhYRQUVBSRZERdZVdFVXQjdhB6KgExFhRWGhWEKYdC6bolI6iQgaOJ08lEyz91rfxdo1g98B+r6P1rj/z+9Kh9nwbvXZ77ve9a6xUZYlkjI06x6ApL+PwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUx+JoVBWVZ9yAUo1H6z21iqP4eGo26x6G+5gxfm6rwdet4/XWARoNGg7KkKOodl/qZwdejKGg02L2be+9l6VIuvpi1a9mzh0aDZpNul2637iGqH7mkr0cV/GOPccstTJ7MyAjAwoXceiuDg5xwAkCnQ6NBq1XvSNVXnOFrUJY0m5QlP/3EpEmMjNBoMGkSn3zCjTdyySXcdx+bNzMwQKtFp+MiX/83zvB1+vVX3n6bV1/l6af57TeAdpvRUYDjjuPCC7nuOs47DxjbyXdXT/8Lg58QvvySF17g0UcZHgYYGKDTAZg2jcWLWb6cK68c++bqcsDy9V8w+DqVJd0uAwO93+7ezYsv8tBDfPddL/hKu828eaxYwRVXcNRRvS92OrRaZq+/xuDrV5a9q/pKt8vq1Tz2GEND7NsH0Gr1Nu1nzWLFCpYuZd683gu7XbPXX2DwE0tZjtX72musXs2GDezeDTBpEr//DjBtGtdfz2WXMTgIUBQUxdgyQfoPDH4iqs7bVjfk3nmHtWt5/nm2b4dxu3pHHMGSJVx+OVdf3fuMGP9hIf1LBj9xVZfx1dT9zTds2MDDD7N1K4xb5E+ezMKFXHMNN93EYYf1Xuiunv4dg5/QqpO21fE74Oef2biR++9n8+bePF+dxm02Oe44li/nxhuZMaP3Wnf19M8M/tBw0KT95pusWsV77/Vu4/054U+dyrJl3HAD8+czeTLA6Cit1tiOoMIZ/KHkoKv0zZt54gnefJOvvgJot+l0et9z7bVcfTWDg0yZAjA6ysCAs70M/tA0/gb+11/z8su8/DIffQTQblMUvQl/yRKWLuWqq5g2Dby2l8Ef0qqw222AnTvZtInHH2fjRqB39V5t+y1cyNKl3Hwzs2b1Xuiz97EM/pDX7VIUvez37mVoiAcfZM2a3iTfbPaevZk5kyVLuOsu5s/vvbD6upf3UQy+TxxU75YtPPAAa9fy/fe9r1ff0G5z6aXceScLFnDkkTWNVfUx+L5y0Fp9504eeYT16xkagj8+DqryL7qIZcs499yx23hKYPD9afz5/B9+4IUXWLOGN94Aetv11W38xYt58klOPZWicG0fweD7WVnS6Yxd3m/cyEsv8eyzAO02Zcns2axfz9y5Bp/C4Pvf+M38kRG2bOGZZ3jqKfbuZeVK7r6bTsdnb1IYfIrxD+QAO3awZg0XXMD8+U7vQQw+y0HP3iuNwefycdpAftTnsvZABi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvPKUJd0uRVH3OGrQKMuy7jFI+ps4wytJNb1t2MCJJ3LPPQwPA1FTvcErSaMB8P77fPstb71F3vLW4BWmLPn8c5pNTjqJ6dMpy96nQAaDV5ii4OOPKQrmzAEYHTV4qR9VC/hdu9i+nXabE08EaGYlkPVuJYaGKEumT+8FnzS9Y/AKUs3wX3zBwAAzZxq81Neq4Neto9Ph6KOZOpXR0bQl/UDdA5D+LtVkPjjI4Ydz/vl1j6YenrRTnr17AaZOrXscNTB4hSmKtGX8eLnvXHHKkk5n7NeRDF4Zul0aDVau5Pbb2bSJRiOzeTftFKAsaTY5cIBXXmFoiFaLc85JO1RbcYZXgKrtr7/m559ptRgcrHtAtTF4Beh2Ab79lp07KQoWLIC4Q7WVxPesONXl+jffMDrKzJkcf3zdA6qNwavflSUDA5Ql27YBLFrEQO7WlcErQLPJL7+wfTuNBqedFrhX9yeDV7+rfoLV9u188QVlyemnQ+59+Ny1jVJU83m7zbx57N/PSSfVPaA6ebRWGbpd9u1j3z5mzEi+hjd4Zeh2abXqHkT9DF4Kkru2UYTqjN3wMKtWMWMGV17JMcdkHqqtOMOrr1UPw374IWedBfDuu5x9dvLy3hlefa06P7t1K+02p5zC9OkQ93PsxvM+vAIMDTE6ypw5HHssGLzUx0ZH+fRTGg3mzmXKlN6DNKkMXv3uwAE+/ZSyZO5cgKJwhpf6UbUhvW0be/ZwxBGccAJEr+cxePW/Dz4AmDWrN8NHPgb/p+g3rwi7djF1KnPnMmdO8h34ivfhFWDHDvbv5+STDd7g1deKgqJIflrmIAavDPFze8VPPvWp6lDtpk18+SVnnsmiRTaPm3bqW9UBm+ee47bbuOMO+ONH32QzePWp6v+W2bqVomD27LpHM1EYvPpRtVG3ezfDwwCLF9c9oInC4NWPqtX7V18xPEyzyWmnQfqRm4p/BOpH1b2nzz7jxx9ptXr/1Uz8jh3u0qs/VT/f4owzWL6ckRGOOqrm8UwY3oeXgrikl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCvIPgpq4yUMJHKUAAAAASUVORK5CYII=", "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', [9.360368506686106, -6.366314777948699, -38.417550545931455])", "action": "('move', [9.360368506686106, -6.366314777948699, -38.417550545931455])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [9.360368506686106, -6.366314777948699, -38.417550545931455])", "action": "('move', [9.360368506686106, -6.366314777948699, -38.417550545931455])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH1klEQVR4nO3d0Y9U5QHG4XdmFjSKRY1VWTeEdt0qVUQgbeK9CX+q3nnvX2AaERHUgCi1IHU1GKUm2OzOnF6cqTF6XaY57/NcMefqO2R/+c755sx3ZsMwBOgw3/QAgIdH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBka9MDgIdtGLJcZhgyn2ex2PRoHq7ZMAybHgPwkJjhqfPWW3nvvezt5cyZvPFGjh7NMGQ22/SwHgozPHUuXhzefXeW5OLFvP12nnyyKHiLdnQ5PMyn15ZHj2Y+z85Ojh3b9IAeLsHT5c6d3N3fWq2yGnL2bLa2slq1TO8RPD3Gm9dLlzLWPsvqj39YJVmtNjywh0nwtBiDv3x5GIaslnn22dn29izJvCmCpnOl2xj8B387HD/u7c1e2Km5lP8vwVNhfMxmGHLj8/VX0bu7eeaZrhv4CJ4S4xdv16/n/o9j36s/nlrN5zk8FDxMzng9/+GH+df9JNnayt5ekq7aI3hKjEvxV68OP/2UJM8/P3/xT/OUrdhF8FT59NP1hP7cc3n55UTwMD2rVba28uOP+eqr9ZHt7TzxRA4OXNLD5IwrdjdvZn9/feT06Y0OaHMEz/SNK3afXV/t7w9JHn00Z84kfSt2ETwNxhW7zz5br9gdO5bXXkv6buAjeBpsbSXJ57cWySzJsceHl15aP4rTpu+MKbNaZT7Pd9/l1hfrI7unDh95pOs3Mz8TPBM33sDfuZ2bn6/3ernw10Uqb+AjeCZvDP7undXt26v5PLNZzp2fR/AwSWPYX3w5T+bzeTLLhQubHtPmCJ4pG4YsFlku8/HHSWbLZX7/9OGpU4kZHqbq/v0x+AxDzp+fbRXv1Sx4pmy8gf/hh1y7tp7Sz11YdM7tI8Ezffv7uXcvR44kWd/A127OLnimbJzMP/po/XE+zyuvbHA4myd4pmw2yzDk8uUkOTjIzk6eemrTY9oowTNxhwe5fGmZZBhy9mzdmyd+RfBM3IOfcuXK+i2xZ17LY48lrd/JRfBM2Lgyd/16Hvx7MZ8nGV59JbNZlssND2yDBM/Evf9+khwuc+TI6uRO5S9mfkHwTNwHl4Ykwyq7u4vnTrT/wbefPxO2fpnc++sr+L29nNhOKve9+FnxqTNp4/4W33+fr/65GI/s7eXxx7Jc9q7YRfBM1Ti9X72aBw/Gvpe7p5Ype1fsbxX/jIBJG4O/ciUPHiTJ756Y71a+auZXzPBM02q1fsbu8DBJXtiZvbg3i+A3PQD4nxg3t7l5c/1xezsnT5ZuXPlL3WfPRK1WWSzy9df59tv1kZMnhyNHGl818yuCZ4LGlblPPsk334wHhj+fHlJ/PR/BM0nrh2o/Wd27NyQ5fnz26pnGd8X+Vv1/ANN1/cb6H8eP5+zZxAwveKZnfFfswUH+fns+vmrm6SdXJ05kuTTDC57JGd8Ve/du/vHl+sjpl4dh6N3W6pcEz9SMYd+6lRs3kmSxyPm/LGYz03sieKbq3r3M5+tN6c+dS9zAJ/FoLdMzbm7z5pt5551cu5YbN/L66xse0v+P2eDOBmqY4ZmmYVg/Tj8M2dpyPb9mhociFu2giOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyH8A3+ZcPZq2/IoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH1klEQVR4nO3d0Y9U5QHG4XdmFjSKRY1VWTeEdt0qVUQgbeK9CX+q3nnvX2AaERHUgCi1IHU1GKUm2OzOnF6cqTF6XaY57/NcMefqO2R/+c755sx3ZsMwBOgw3/QAgIdH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBka9MDgIdtGLJcZhgyn2ex2PRoHq7ZMAybHgPwkJjhqfPWW3nvvezt5cyZvPFGjh7NMGQ22/SwHgozPHUuXhzefXeW5OLFvP12nnyyKHiLdnQ5PMyn15ZHj2Y+z85Ojh3b9IAeLsHT5c6d3N3fWq2yGnL2bLa2slq1TO8RPD3Gm9dLlzLWPsvqj39YJVmtNjywh0nwtBiDv3x5GIaslnn22dn29izJvCmCpnOl2xj8B387HD/u7c1e2Km5lP8vwVNhfMxmGHLj8/VX0bu7eeaZrhv4CJ4S4xdv16/n/o9j36s/nlrN5zk8FDxMzng9/+GH+df9JNnayt5ekq7aI3hKjEvxV68OP/2UJM8/P3/xT/OUrdhF8FT59NP1hP7cc3n55UTwMD2rVba28uOP+eqr9ZHt7TzxRA4OXNLD5IwrdjdvZn9/feT06Y0OaHMEz/SNK3afXV/t7w9JHn00Z84kfSt2ETwNxhW7zz5br9gdO5bXXkv6buAjeBpsbSXJ57cWySzJsceHl15aP4rTpu+MKbNaZT7Pd9/l1hfrI7unDh95pOs3Mz8TPBM33sDfuZ2bn6/3ernw10Uqb+AjeCZvDP7undXt26v5PLNZzp2fR/AwSWPYX3w5T+bzeTLLhQubHtPmCJ4pG4YsFlku8/HHSWbLZX7/9OGpU4kZHqbq/v0x+AxDzp+fbRXv1Sx4pmy8gf/hh1y7tp7Sz11YdM7tI8Ezffv7uXcvR44kWd/A127OLnimbJzMP/po/XE+zyuvbHA4myd4pmw2yzDk8uUkOTjIzk6eemrTY9oowTNxhwe5fGmZZBhy9mzdmyd+RfBM3IOfcuXK+i2xZ17LY48lrd/JRfBM2Lgyd/16Hvx7MZ8nGV59JbNZlssND2yDBM/Evf9+khwuc+TI6uRO5S9mfkHwTNwHl4Ykwyq7u4vnTrT/wbefPxO2fpnc++sr+L29nNhOKve9+FnxqTNp4/4W33+fr/65GI/s7eXxx7Jc9q7YRfBM1Ti9X72aBw/Gvpe7p5Ype1fsbxX/jIBJG4O/ciUPHiTJ756Y71a+auZXzPBM02q1fsbu8DBJXtiZvbg3i+A3PQD4nxg3t7l5c/1xezsnT5ZuXPlL3WfPRK1WWSzy9df59tv1kZMnhyNHGl818yuCZ4LGlblPPsk334wHhj+fHlJ/PR/BM0nrh2o/Wd27NyQ5fnz26pnGd8X+Vv1/ANN1/cb6H8eP5+zZxAwveKZnfFfswUH+fns+vmrm6SdXJ05kuTTDC57JGd8Ve/du/vHl+sjpl4dh6N3W6pcEz9SMYd+6lRs3kmSxyPm/LGYz03sieKbq3r3M5+tN6c+dS9zAJ/FoLdMzbm7z5pt5551cu5YbN/L66xse0v+P2eDOBmqY4ZmmYVg/Tj8M2dpyPb9mhociFu2giOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyH8A3+ZcPZq2/IoAAAAASUVORK5CYII=", "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": "78abd4caf1df69a9aa98866fcf8eb5e95ec9ec34e2774e5f3756d409bf0dd7a5"} +{"episode": 8288, "episode_seed": 259541416, "split": "train", "timestamp": "2025-09-15T22:49:00.598822", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 259541416, "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', [-4.5406816351247326, 4.902009174871951, -33.52350210130198])", "action": "('move', [-4.5406816351247326, 4.902009174871951, -33.52350210130198])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK1klEQVR4nO3dbWhW9R/H8c+5bqaZLTJ9UCMq0UgUCyIpNOqBmNj2wGButanVqNBcmRSE3YEgQpQjKZ0mRcrK4ay8yYxBFGFY6AO7oUWaYER2Z5lh6nVd5/wfnKOz/Nf/r267bj7v17Ndux4cxt77fc/vnHMtiKJIADykin0AAAYOwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjGSKfQD9LwyVz0tSNqsgKPbRAMUURFFU7GMYcFGkKFIQ0D/cVPpIH0V6/301NGjyZH3xRfJKECiVSmqP4wc8VHrwksaPV2urbrhBw4ZJUhBozx4tWqTPP0++DAIVCmQPB2YjfT6vTEYLF2rJEg0dquZmzZmjsWOVTvd+F6hcBiu8lKzeUZSEPWKErr5af/yh9nZNmKDWVn34oSRqR8UzW+F14hx+3z6tWaOurmSwP+88NTSovl7Tpv3lbUBl8Qtep4zue/bo7bfV3q6eHkm64w699tpfUo9/OJSPSmEZvKQwVKGgbFaSvvtOW7dq6VK9+qomTEiC//RTjRmTvCEMJSnlcfqDiuYafOzUko8c0ZAhKhSUTqu7W83NGjVKTzyhm27S0KGSlMspnSZ7lDXvX99USqlUMrcPGSKd+BOwY4d+/FEffaRp01RXpw0b9NNPymapHeXOe4U/XTzP//671q9XZ6e6u5PXb7lFM2eqrk4jRhT1+IBzQvD/7PBhvfOO1q7Vli3JK9On6403FIbJ7Tps6aHcMKP+N1GkXE4XXKAZM9TRoW3bVFsrSZdemrwhjvzk3fjxiQBQ8ljh/1kYKgyTC3jHjumTTzRmjIYPVxgqijR9uiZO1L33Jnfsxi/GN/YApYrg/5f46ZqT23XxNfyODjU3S9Lll+vhh1VXp5Ejk++m0wz5KFkE/3+L9/Pi63bbt2v5cm3bpoMHJemKK9TSounTNXZs7zuB0kPwZ+5kzx98oPXrtWaNDh+WpNGj1dio+fM1bBjNozQR/Fk59Yx91y51dmrVKh06pDFjtHOnBg/m0zVQmgj+bEVRMt7HYX/9tV56Sddco6am5HWg9BD8ufnblh5Q2gi+j3DSjnLA0tRHqB3lgOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSPyhSGyucVRcU+jhITRPxIUHGiSEFQ7IMoSazwqDSFgoJAPT1auVL5vCTW+V6ZYh8A0GfisNNp7d6tpib19CiX07x5rPa9GOlRIeJf5CDQe++pqUkHDiidVqGgzZtVW8uQn2CkRyUIwyTpjg7V1urAAWWzKhQ0apQuvrjYB1dKCB5lLwwlKYq0ZIlmztTRo8pmlctp0iS9+65uvJHlvRfBo7yFoVIpHT2q1lYtXKhUSqmUcjnNmKENGzRyZLKHhxibdihjce2//KK77tKWLcpkkm35BQu0aJHOP1+FgtLpYh9lKSF4lKUoUhQpldI336ihQTt3JmN8KqXnntNDDykIFIbU/ncEj/ITRSoUlMloxw7deaf27VNVlY4f10UXaeVK1dcn70lxwnoafiQoMydr7+pSXV1v7VdeqTffVH197/U5nI7gUU7iST6T0dKlmjVLP/+sbFbHj+v667Vxo26+Wfk8qf8bbrxB2Th5dW3BAj3/fPJlGKquTitWqKZG+bwynKT+K1Z4lIf46tqRI2psVFtb8mIYau5cvf66amqSOR//juBRBvJ5pdP69lvddps6O5XNJoP94sV68UUuv50B/iSi1MWD+q5damnR7t3JFt2FF6qtTXffLYnLb2eAc3iUtHjp3rxZ8+Zp//7kYntNjVav1tSpKhSUSrFLdwYY6VHS0mm1t2vmTO3fr0xGuZzGj9fGjZo6NZnzqf2MEDxKUfw8jKSnn1Zrqw4dUjarfF5TpmjTJl13nXI5tujOBiM9Sk580h4/D7N6tVIppdPK5TR7tpYtU3U1W3RnjxUepSWu/fvv1dio1auTZTyf12OP6ZVXVF3NFt05YYVHCYmX7s8+0333aceOZItu0CA984wefFDi0ynPGcGjVMTPunZ3a84c7d2b1D58uJYvV309Y3zfYKRH8Z181nXtWjU0aO9eDRqkXE5XXZU8DxM/94pzx08RRRaGCgIFgZ59Vvfco19/VVWVjh3TxInaskWTJiVn9UzyfYLgUUzxGP/nn3rkET36qAqF5Om322/Xpk0aPTq5Q57a+wrn8Cia+LT8hx80f77WrVM6rShSGOqBB9TWltwwT+p9ixUexRHX/uWXamjQunXJp0pLWrxYL7ygTIba+wU3K6EI4mvp27erpUVffaVBg3TsmKqrtWyZZs/mntl+xEiP4njrLbW06OBBDR6so0d12WV6+WVNnkzt/YvgMaDiQX3VKs2ZozBMnnW99lqtXatx43p37NFPOIfHwIlrf+op3X+/wlCZjI4f15Qp2rpV48Yll+KpvV8RPAZOPE3mcpKSfxoxa5a6unTJJcnajv7GSI8imDtXK1bo8cf15JOqquIz5AcOwaMIfvtNH3+sW2+VTtx7g4FB8Bhop15g52L7AONPKwZaXDj/H6YoCB7FQepFQfCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQ/81vhQyp7hFYAAAAASUVORK5CYII=", "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', [-4.5406816351247326, 4.902009174871951, -33.52350210130198])", "action": "('move', [-4.5406816351247326, 4.902009174871951, -33.52350210130198])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK1klEQVR4nO3dbWhW9R/H8c+5bqaZLTJ9UCMq0UgUCyIpNOqBmNj2wGButanVqNBcmRSE3YEgQpQjKZ0mRcrK4ay8yYxBFGFY6AO7oUWaYER2Z5lh6nVd5/wfnKOz/Nf/r267bj7v17Ndux4cxt77fc/vnHMtiKJIADykin0AAAYOwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjGSKfQD9LwyVz0tSNqsgKPbRAMUURFFU7GMYcFGkKFIQ0D/cVPpIH0V6/301NGjyZH3xRfJKECiVSmqP4wc8VHrwksaPV2urbrhBw4ZJUhBozx4tWqTPP0++DAIVCmQPB2YjfT6vTEYLF2rJEg0dquZmzZmjsWOVTvd+F6hcBiu8lKzeUZSEPWKErr5af/yh9nZNmKDWVn34oSRqR8UzW+F14hx+3z6tWaOurmSwP+88NTSovl7Tpv3lbUBl8Qtep4zue/bo7bfV3q6eHkm64w699tpfUo9/OJSPSmEZvKQwVKGgbFaSvvtOW7dq6VK9+qomTEiC//RTjRmTvCEMJSnlcfqDiuYafOzUko8c0ZAhKhSUTqu7W83NGjVKTzyhm27S0KGSlMspnSZ7lDXvX99USqlUMrcPGSKd+BOwY4d+/FEffaRp01RXpw0b9NNPymapHeXOe4U/XTzP//671q9XZ6e6u5PXb7lFM2eqrk4jRhT1+IBzQvD/7PBhvfOO1q7Vli3JK9On6403FIbJ7Tps6aHcMKP+N1GkXE4XXKAZM9TRoW3bVFsrSZdemrwhjvzk3fjxiQBQ8ljh/1kYKgyTC3jHjumTTzRmjIYPVxgqijR9uiZO1L33Jnfsxi/GN/YApYrg/5f46ZqT23XxNfyODjU3S9Lll+vhh1VXp5Ejk++m0wz5KFkE/3+L9/Pi63bbt2v5cm3bpoMHJemKK9TSounTNXZs7zuB0kPwZ+5kzx98oPXrtWaNDh+WpNGj1dio+fM1bBjNozQR/Fk59Yx91y51dmrVKh06pDFjtHOnBg/m0zVQmgj+bEVRMt7HYX/9tV56Sddco6am5HWg9BD8ufnblh5Q2gi+j3DSjnLA0tRHqB3lgOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSPyhSGyucVRcU+jhITRPxIUHGiSEFQ7IMoSazwqDSFgoJAPT1auVL5vCTW+V6ZYh8A0GfisNNp7d6tpib19CiX07x5rPa9GOlRIeJf5CDQe++pqUkHDiidVqGgzZtVW8uQn2CkRyUIwyTpjg7V1urAAWWzKhQ0apQuvrjYB1dKCB5lLwwlKYq0ZIlmztTRo8pmlctp0iS9+65uvJHlvRfBo7yFoVIpHT2q1lYtXKhUSqmUcjnNmKENGzRyZLKHhxibdihjce2//KK77tKWLcpkkm35BQu0aJHOP1+FgtLpYh9lKSF4lKUoUhQpldI336ihQTt3JmN8KqXnntNDDykIFIbU/ncEj/ITRSoUlMloxw7deaf27VNVlY4f10UXaeVK1dcn70lxwnoafiQoMydr7+pSXV1v7VdeqTffVH197/U5nI7gUU7iST6T0dKlmjVLP/+sbFbHj+v667Vxo26+Wfk8qf8bbrxB2Th5dW3BAj3/fPJlGKquTitWqKZG+bwynKT+K1Z4lIf46tqRI2psVFtb8mIYau5cvf66amqSOR//juBRBvJ5pdP69lvddps6O5XNJoP94sV68UUuv50B/iSi1MWD+q5damnR7t3JFt2FF6qtTXffLYnLb2eAc3iUtHjp3rxZ8+Zp//7kYntNjVav1tSpKhSUSrFLdwYY6VHS0mm1t2vmTO3fr0xGuZzGj9fGjZo6NZnzqf2MEDxKUfw8jKSnn1Zrqw4dUjarfF5TpmjTJl13nXI5tujOBiM9Sk580h4/D7N6tVIppdPK5TR7tpYtU3U1W3RnjxUepSWu/fvv1dio1auTZTyf12OP6ZVXVF3NFt05YYVHCYmX7s8+0333aceOZItu0CA984wefFDi0ynPGcGjVMTPunZ3a84c7d2b1D58uJYvV309Y3zfYKRH8Z181nXtWjU0aO9eDRqkXE5XXZU8DxM/94pzx08RRRaGCgIFgZ59Vvfco19/VVWVjh3TxInaskWTJiVn9UzyfYLgUUzxGP/nn3rkET36qAqF5Om322/Xpk0aPTq5Q57a+wrn8Cia+LT8hx80f77WrVM6rShSGOqBB9TWltwwT+p9ixUexRHX/uWXamjQunXJp0pLWrxYL7ygTIba+wU3K6EI4mvp27erpUVffaVBg3TsmKqrtWyZZs/mntl+xEiP4njrLbW06OBBDR6so0d12WV6+WVNnkzt/YvgMaDiQX3VKs2ZozBMnnW99lqtXatx43p37NFPOIfHwIlrf+op3X+/wlCZjI4f15Qp2rpV48Yll+KpvV8RPAZOPE3mcpKSfxoxa5a6unTJJcnajv7GSI8imDtXK1bo8cf15JOqquIz5AcOwaMIfvtNH3+sW2+VTtx7g4FB8Bhop15g52L7AONPKwZaXDj/H6YoCB7FQepFQfCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQ/81vhQyp7hFYAAAAASUVORK5CYII=", "image_next": "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", "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', [-4.5406816351247326, 4.902009174871951, -33.52350210130198])", "action": "('move', [-4.5406816351247326, 4.902009174871951, -33.52350210130198])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJXUlEQVR4nO3cTYhdZwHG8efemdQ2xNqmTVK/kmlUcCwouCiCCC5cFbPIQqsYV+LCRUG3Ighu3LmUqisrEUrVlR+FbpSiiOhGVETrZBKbKKn1Y5JWMpm5x8W9zUzTUav9yJ15fj9ehjtnzkzOJPnf9z3nnpnRMAwBOoxv9AEArx7BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5HFG30Ar7zJJBsbSbJvX0ajG300cCONhmG40cfwqhuGDENGI/3TZq8v6YchP/xh7r8/H/hAfv3r2ZbRKOPxrPZp/NBhrwef5J3vzAMP5D3vycGDSTIa5Ykn8oUv5Fe/mr07GmVzU/Y0KFvSb2xkcTGf/Wy++MUcOJBTp/KpT+Wee7KwsPVR2LsKZvhkNnsPwyzsQ4fy9rfn8uU8+GDuvTcPPJDHH0+idva8shk+z53DnzmThx7Kt741W9jfckvuvz8f+lDuu+95u8He0hd8ti3dn3gi3/teHnwwv/1tknz0o/nmN5+X+vQvR/nsFZXBJ5lMsrmZffuS5Pz5fP/7+dKX8vWv5957Z8H/8pdZXp7tMJkkybjj9Ic9rTX4qe0lP/ts9u/P5mYWFvLYYzl1Km99az73ubzvfTlwIEmuXs3CguzZ1br/+47HGY9n6/b9+5PnngJ++tNcvJif/CT33ZcTJ/Ltb+epp7Jvn9rZ7bpn+BearufX1vLII3n44Tz22Gz7+9+fj388J07k0KEbenzwkgj+37t0KT/4Qb7xjXz3u7MtJ0/mO9/JZDK7XcclPXYba9SdDEOuXs1rX5sPfzinT+fRR/PBDybJG94w22Ea+bW78acnAjD3zPD/3mSSyWT2At6VK/nZz7K8nDvvzGSSYcjJk3nve/PJT87u2J1unN7YA/NK8P/N9Kdrrl2um76Gf/p0Tp1KkmPH8pnP5MSJHD8+++jCgkU+c0vwL9r0et70dbsf/zhf/nIefTR//WuSLC3lE5/IyZO5556tPWH+CP5/d63nH/0ojzyShx7KpUtJ8ra35SMfyac/nYMHNc98Evz/ZfsZ+y9+kYcfzle/mn/8I8vL+fnPc/PNfrsG80nw/69hmC3vp2H//vf52tfyrnflYx+bbYf5I/iX5rpLejDfBP8ycdLObmBqepmond1A8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk8UYfAHNnGK7fMhrdiOPgFSD4RteSvvZgNNqqWt57mOD3uGnSw7A1RqMsPvfPfl3bk0nW13P1atbX8+c/Z2Ulq6tZWcnnP5/bbpt9LrvaaHjhAo5da3vY07GwkIWFHfb85z9z+fJs/P3vOXcuZ87k7Nmsrs7GxsbWzr/5TZaXBb8XmOF3q2nPyfVT9wubvHw5Tz+dv/xl9vbixfzxj3nyyZw/n/Pn8+STz2t7anExN92UYcjmZiaT/O53WV5+Nb4pXmmC3x22r8Omj8fjHdp+5plcuJALF3L+/OzBU0/l4sWtt+vr13/KeJybbkqSzc1sbs42XnsKuPXWHD6cySRxbr8nCH532B7b9PEzz2R1NefOZXU1Z8/m7NlcuJC1tVy6lLW1rK3lypUdvs70aWIy2XoGmZ63JzlwIHffnaNHc+xYlpaytJQjR/K61+XAgRw58kp/f7xKBD+/JpNsbmZjI88+m3Pn8oc/5MyZnDmTlZWsrGRtLevruXIl6+s7rMl3ND2fX1jI/v1ZWspb3pKlpRw/nuPHs7SUW2/Na14zG2P3Z+xRgp9Tjz+er3wl585lZSV/+tNsUf0ijcfZv39rHDmSu+/eGktLueuu/570dBUwXU1sf9GOXU3wc2ea2epqTp9OktEoCwtZXMzGxs7Z3357Dh7M7bfnjjty8GDe+MYcPZo3v3k2Dh9+UX/idtO2TfJ7kuDn1DveMXswDFsr9jvuyOtfvzUOH85dd+XIkdk4dGiHrzOZZDK5fqK+bro2e/cQ/NyZ5nf0aN797hw7NruK9qY35c47c9ttW+OFlU4ms6eGadjT63PjsbmaLW68mVPDkL/9LTffnFtu2XkGnq7wp21vH/AfCH4XGIats3dX0XgpBD+/tv9kC7wsnMPPL53zsnM9B4oIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8CwpRNgVHMGbWAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHrklEQVR4nO3bT6hcZx3H4d85MxMhsSRdFFItdFEaC9VFRZFqoahUSCUGrWmaiAShhQZ009oiFdwIRhGqXSn5IxYaMAbaBBSDNREKyUaRCs1CDaa2uivGFk2kd+a8Lu6YXENRojG5ud/nWV2Gc+BsPud953ff6VprBWTor/YDAFeO4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHI+Go/wP/XbFqz4S0+H41qNLriTwNXW9dau9rPcHUMQ3Vddd3Vfg64glbyCn/uXH3/e8Ozz9Zo0k8m1ffVdTUMtXp1bdtWmzfPL1t84ymfBCt5hZ/N6k9/rF/8sn3tq+1Xv66lA4vVq+t9d8we/9Jo473V9/OLu27+N6xUKzn4pY4fr1276sSJOnOmqqrrqrXquvaB9w9f/kp/14e6deuqqhYWajSSPSvWCg/+ou360aP1ne/Wz4+2P5+pqm4yqYWFqhru+mB9/gvdRz7a3XBDVdXCQo3HNvmsQCs8+PNaq2GYT+Z/9nz7wYE6eKC98de+62o8nmd/99399u1t69Zu7dqqqmGw1LPSpAS/aDarNtR4UlV14ng7cKD27Gnn/t73fY1Gi9nXnXfWfffVzp21evX8rtas9qwQWcEvmk6r76vvq1qdPNn27Wu7d3d/O9tV1WhUs1lV1YZbh4ce6nbu7Na8fX6XBZ8VIDH4+tcdflX94eX61rfb/v3da69VLcn+ne+YPfbYaOsDtX59Vc0/dGKHa1do8IsuGum9+mo9+WT9+Ef1u1NtyUiv3Xhje/TR7hOb6tYNXZnkcy2LDv6CVu2f5Z8+3fbtrcOH66WTrao/n/3NN9eOHbXl0/Xu93RVNZ3WaOS7PdcYwV/QWk2nNZlUVZ06VYcPtT176je/rapu1ap6882qqltuqU2b6sEH6/bb57eUU3pcOwR/sWGo2Wye/SuvtCNH6hu72u9f7qq68bim06qqm26qjRvbI490t9124S4n81n+BP/WhqFam8/n3ni9Dvywvvn12anTo9aq72sYqqquu65t+dTwxcdHG941v9I+n2VO8P/O0nV7Oq3du2vv3nrxxfm7YHFoP+mHz+6ohx/u7nhvNx7XMNQw1Hgl/yiJa5jg/7OlX9QXFmrfvjp4sI4dG6r68bhaq9ms+prt+Nxo2wPDPR8zvmf5EvwlOP+LurNn69BzwzPPdD85MlSNJpOazWoY2ttWtc2f7D+zvTZurMnEET2WHcFfmqWT/Nf/UsePt6eeaj99vqr6xX/OLyzUli21f7/gWY7sPy9N181LXliotevq3o93zx3qjh3r7/nwbLH2rqv776/JpKZTtbPsWOH/e63V4tB+0Qsv1BNP1Pr19fTTtWaNs/csR4L/X1109ubMmbr+ept5linBXzZO3bH82XReNoupe3+ynDkgcjlZ3lnmrPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5B94JZAmwHxLiwAAAABJRU5ErkJggg==", "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": "82de91c3259689f080c9144eeeab7020feddff7294a6aa40ab95f2e808384170"} +{"episode": 8289, "episode_seed": 833999449, "split": "train", "timestamp": "2025-09-15T22:49:01.205642", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 833999449, "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', [0.9327726372443442, 1.4192348614891255, 23.125573711602858])", "action": "('move', [0.9327726372443442, 1.4192348614891255, 23.125573711602858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.9327726372443442, 1.4192348614891255, 23.125573711602858])", "action": "('move', [0.9327726372443442, 1.4192348614891255, 23.125573711602858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.9327726372443442, 1.4192348614891255, 23.125573711602858])", "action": "('move', [0.9327726372443442, 1.4192348614891255, 23.125573711602858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIWklEQVR4nO3d38ufdR3H8ffn+n7HbGwNC80mO3KSovnjIKx0pqCmDj0wnVYS/hgJQf+LB9EvkEIrGKIzLcpp2uQOWlILi9QmVqAFITidIm739/p08L2TzA7De16vx+No3Ecf2Pd5v6/ruj+f79V67wVkGNZ7AcD7R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPCTsljUOK73IjiBzdd7Afx/LFPfsGG918GJzYSfgt5rNqsNG+rAgXruubWfwHsJfgpaq71768Yv1I031t1317FjVZrnf2nd52ISbrih9u2rqtq6ZfHrg+2ss4dxrMHvc97NJ2IibrutqvrGjfXa0dljjw+9V2vrvSZOPCb8B96y7aNH+4XnjS/+bVZV55w9Hny6bdqkeP6bCf+B11r1Xps3tz13zXqv+bz++Kf6zdOt3MbzHoKfguWQv+rKvnXruFjUMAzf/sZivRfFiUjwU7C8XT/n3Hb11W0caxxr/+PDyy9XGfK8m+CnoLU6frw2bqzrru3z+TjM6tUj7fvf663ZeMe7CH4iZrPqvS67YvjkecM4VlV/8MH+1ltVhjz/QfATMQy1ulqnb6vLPzdW71Xtz4eH/ftrNqvV1fVeHCcMwU/HMFTvtfum9tGPtKp644166KG1n8OSz8J0zGY1jvWpi9oFF1ZVtVZPPVXPPluzWS08s6eqBD89w1C33lrDUMNQL75Y+/dXuY3n3wQ/KWtX9bvr46f15VR/aF9/9dWazzVPleAnZvkH+U2b6uZberWazWplpf/+UC9DnqoS/FTdcfvQ+qK1Wl0M+37cVlfXhj/hHJ6ZptXjtWtX3/9YG2a15UOrzx2enXZac4QOE36Ceq/ZvO7c06pqNtRrb8wffriq1I7gp2g5yS/+bN9xxri6Wq3Vd7/T7bGlBD9Jyy30205vu3e33nsb6neHhoMHq3e38ekEP0HL4FurK6+srVurevVe3/qmszQIfqKWu+4+/Zl2ySVtGfmBA/XSS57VpxP8NLVWi0WddFJdc83as7qXXm7331+tOUsTTfCTtTwwe/31deaZVVXjWI88UseOGfLRBD9Zw1CLRW3fXjt3VmvVWh061J98ojtLk0zwU7Y8GLtnT208qarqyJF69NFu+00ywU/Z8ur9oovq/HPH3quqPfKT9te/GPK5BD99rdUdd7aqms/rhRdq5Vet7LpLJfiJW4Z90+528ocX41hV7Qf39Tff9OgulOAjnHxyfeX22TjWfF77Hxuff96ZqVCCn77lxptbbu6zYayqarMf/XDtuT1pBD9977ym4tKdbXW1WtV99/ajR9d7WawHwU/fctfdli31xS9V1Tib1z9fGR54oKpsrY8j+CCXXtp2nNEWq9Va3XOPw3OJBB9hGGoc6xNn1VWfb8vOn3mmDh5c241HDsFHWF7VV9W119bmzdVavf563XtvX75qmhyCTzGf1zjW5ZfXBeev/U3uwIH6+z/WDtISQvAplt9+sWlT7dpVbag21OHD9dOHx3eGPwkEH2R5YPbLt7aPndr7WMePt5/9fHj7ba+pCCL4IMshv317XbZzbK2GoZ78Zf/t0776Kojgs8xmVVVf+/qs9z4MdeRI/eKJtS/AI4EXUSQax7rwgvGZPwyt1Y4dtbJSp55a4+jF0tPnfzhO7zUM9dW7huW/Dx+ulZUqB2YzCD7UddfVKafUxRfX3r11xRVVgs/gkj7UsWP1yiu1bdt6r4P3l+AhiEv6XH7VBxJ8LjftgQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4FGBi/BYMpxWoAAAAASUVORK5CYII=", "image_next": "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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": "332bea5f76027dff132cf85452370dfa08fa59a2728781307815ecd6f5224800"} +{"episode": 8290, "episode_seed": 3828344031, "split": "train", "timestamp": "2025-09-15T22:49:01.813933", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3828344031, "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', [192.92748312177932, -249.85295237865054, 58.385077501515525])", "action": "('move', [192.92748312177932, -249.85295237865054, 58.385077501515525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [192.92748312177932, -249.85295237865054, 58.385077501515525])", "action": "('move', [192.92748312177932, -249.85295237865054, 58.385077501515525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [192.92748312177932, -249.85295237865054, 58.385077501515525])", "action": "('move', [192.92748312177932, -249.85295237865054, 58.385077501515525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "8da99bbb040328e8de7660cf351039973af7377ec9217da60777dd1134bc85bd"} +{"episode": 8291, "episode_seed": 1326346704, "split": "train", "timestamp": "2025-09-15T22:49:02.419061", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1326346704, "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', [-1.6476419033893253, 0.8931479580319671, -8.034389030436595])", "action": "('move', [-1.6476419033893253, 0.8931479580319671, -8.034389030436595])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJlElEQVR4nO3dTYhdZwHG8WfuzPQjitSICPWDKk1pXFhlaJCiHcRaNYWmICJS40dBcKdUuulCN7rwA0FXBReWQuImoYtQi5hSGOwIaouKGhWx0hYptZoqNBVn5l4X9zSTtIq2JnNn8vx+q+HcO5cDc//zvufc954zN5lMAnQYzXoHgK0jeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCiyMOsdqDSZZG1t+HluLgsLmZub6Q7RYm4ymcx6H4AtYoTfWuNxRqP8/vf5whdy8mQWF7NnT+68M695TcbjzM0Z6jmvHMNvrdEoSS6/PLfdlkcfzbFjOXEir3rV8OjcXMbjGe4dFzxT+tk5dSp33ZXl5SwtZWMj8/NZW8viYtbXMz9vqOd8EPyMTCYvTPqXv8w3vpE77sjevdnYyNzcMB2Ac8dbakamtY/Hmf7DXVvLpz6V73wnN92Ue+7J/HxGI9N7zjnBz9RolLm5TCYZjXLwYHbvzqOP5rbb8ulP5+TJjEYx/+KcMqXfTh5+OLffnpWVJLnmmnzzm1lenvU+cUExwm8b43GWlnL//bnjjuzalZ//PDffnC9/Of/4RyYTQz3nhOC3jekEfteufPWrOXw4b31r/v73HDqUJ57IZJKNjaytOarn/2RKv/1MF+c89li++MXccksOHMj6ehYWznoUXhbBb0vTj+WTYTI/GuUvf8lXvpLPfz6ve93mo/ASGSu2pfn5jMfZ2Eie/wDvc5/L176WD3wgx4+rnZdN8NvVaDR8aDf1+tfn0kvzs5/lwIF86Uv55z9nunPsVKb0O8f3vpfbb89vf5sk731vjhzJZZfNeJfYaYzwO8R4nP3788AD+fjHk+Txx3PqVBIf1/GSGOF3jtPn6r/1rVx/fd7+9hnvDzuQ4HeUM78z/+Kv38B/I/idZjIZsvdpPC+d4KGIUQKKCB6KCB6KCB6KCB6KCL6aK2u0EXy16cqdjQ3ZtxB8tel6/DOvgm/Mv7AJvtT6epLcd1/27s1nP5uf/GTYPl25O13Op/wLj5V2jaZ/88kkn/lMvv3tjEZZWMhVV+VjH8uBA3nTm7Jr1/DM9fXMzbnixoVD8I2m18X73e/y7nfnqaeGC21Mr6+T5H3vy0c+kn37cvXVWVxMnp8OuP/VBUDwjaZ/86eeyl13ZXU1P/zhcDA//fbtNO/du3PTTVleznXXZe/e4RfX14cr8bBDCb7ds8/mRz/K6mqOHctPfzpsvOiizYtoXXVV9u3LDTfk5pvz6lcPG6fvGgP+jiP4XpNJ1teHSXuSJ5/Mb36T++7L4cP505+GjafvcHfxxbniiuzbl1tvzY03npW6G9vvIIJvN73JxZkT9b/9LaurufvuPPBAnnlm89h+6uKLc/nl+fCH89GPZs+evOIVw/bp6b0zr7vJNiR4BqcvgX/ayZM5ejRHjuTXv87jjw8bz7yr7dJSDh7M8nKuvDKvfGWS4eLa05vfsg0Jnhc6/Y44PVafOJFjx7Kykh//OH/+c5Ih6bW1JFlczP79ef/7s29flpaGX1lbe+GFttkOBM9/dHr5zfTs/WSShx7K6mp+8IMcPz48Z3ExGxvDmP+GN+S667K8nA9+MG9+8+aLxOm9bUPw/HfTifrCwtDtX/+aEyfy4IM5fDgnTgzPmZ/fPNrfsyfXXJMPfSgHDuTSS896Haf3Zkvw/K9eMOAnOXkyv/pVvvvdHD2ap5/+N6f3Xvva3HhjPvnJXHttLrlk2D59EbP9mRA8L9m0/DPX2z73XO6/P4cO5eGH88QTmzfFO/3muvLKHDyY/fvzlrdk9+5h4/Q437rdrSR4Xr4XH58/+WSOHs3x43nkkTz22LBxcXE4vZfk+utzyy155zuztJSLLkpy1r2wOd8Ez7kxHmc83kz3kUeyspKVlXz/+8O63cXFYalPkssuy3vek3e9KzfckLe9bWb7XEjwnEvT7PP8svznnssvfpHV1Rw5ktXV4TkLC0P2Sa64Iu94Rw4dOuvcHueP4Dn3pgf54/Hmut1nnskf/pB7782hQ/njH4djgekanmuvzUMPbT6T80rwnEfT8s88Ib++npWV3HNPHnwwTz+dU6dy9935xCdmupdNBM9WePHpvWefzb335tixfP3reeMbh/8LnG+CZ6u9eNE+W0bwzMb0W3rTZTxW4GwZwUMR8yooIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8i/LKFrFFkkO5gAAAABJRU5ErkJggg==", "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', [-1.6476419033893253, 0.8931479580319671, -8.034389030436595])", "action": "('move', [-1.6476419033893253, 0.8931479580319671, -8.034389030436595])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJlElEQVR4nO3dTYhdZwHG8WfuzPQjitSICPWDKk1pXFhlaJCiHcRaNYWmICJS40dBcKdUuulCN7rwA0FXBReWQuImoYtQi5hSGOwIaouKGhWx0hYptZoqNBVn5l4X9zSTtIq2JnNn8vx+q+HcO5cDc//zvufc954zN5lMAnQYzXoHgK0jeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCiyMOsdqDSZZG1t+HluLgsLmZub6Q7RYm4ymcx6H4AtYoTfWuNxRqP8/vf5whdy8mQWF7NnT+68M695TcbjzM0Z6jmvHMNvrdEoSS6/PLfdlkcfzbFjOXEir3rV8OjcXMbjGe4dFzxT+tk5dSp33ZXl5SwtZWMj8/NZW8viYtbXMz9vqOd8EPyMTCYvTPqXv8w3vpE77sjevdnYyNzcMB2Ac8dbakamtY/Hmf7DXVvLpz6V73wnN92Ue+7J/HxGI9N7zjnBz9RolLm5TCYZjXLwYHbvzqOP5rbb8ulP5+TJjEYx/+KcMqXfTh5+OLffnpWVJLnmmnzzm1lenvU+cUExwm8b43GWlnL//bnjjuzalZ//PDffnC9/Of/4RyYTQz3nhOC3jekEfteufPWrOXw4b31r/v73HDqUJ57IZJKNjaytOarn/2RKv/1MF+c89li++MXccksOHMj6ehYWznoUXhbBb0vTj+WTYTI/GuUvf8lXvpLPfz6ve93mo/ASGSu2pfn5jMfZ2Eie/wDvc5/L176WD3wgx4+rnZdN8NvVaDR8aDf1+tfn0kvzs5/lwIF86Uv55z9nunPsVKb0O8f3vpfbb89vf5sk731vjhzJZZfNeJfYaYzwO8R4nP3788AD+fjHk+Txx3PqVBIf1/GSGOF3jtPn6r/1rVx/fd7+9hnvDzuQ4HeUM78z/+Kv38B/I/idZjIZsvdpPC+d4KGIUQKKCB6KCB6KCB6KCB6KCL6aK2u0EXy16cqdjQ3ZtxB8tel6/DOvgm/Mv7AJvtT6epLcd1/27s1nP5uf/GTYPl25O13Op/wLj5V2jaZ/88kkn/lMvv3tjEZZWMhVV+VjH8uBA3nTm7Jr1/DM9fXMzbnixoVD8I2m18X73e/y7nfnqaeGC21Mr6+T5H3vy0c+kn37cvXVWVxMnp8OuP/VBUDwjaZ/86eeyl13ZXU1P/zhcDA//fbtNO/du3PTTVleznXXZe/e4RfX14cr8bBDCb7ds8/mRz/K6mqOHctPfzpsvOiizYtoXXVV9u3LDTfk5pvz6lcPG6fvGgP+jiP4XpNJ1teHSXuSJ5/Mb36T++7L4cP505+GjafvcHfxxbniiuzbl1tvzY03npW6G9vvIIJvN73JxZkT9b/9LaurufvuPPBAnnlm89h+6uKLc/nl+fCH89GPZs+evOIVw/bp6b0zr7vJNiR4BqcvgX/ayZM5ejRHjuTXv87jjw8bz7yr7dJSDh7M8nKuvDKvfGWS4eLa05vfsg0Jnhc6/Y44PVafOJFjx7Kykh//OH/+c5Ih6bW1JFlczP79ef/7s29flpaGX1lbe+GFttkOBM9/dHr5zfTs/WSShx7K6mp+8IMcPz48Z3ExGxvDmP+GN+S667K8nA9+MG9+8+aLxOm9bUPw/HfTifrCwtDtX/+aEyfy4IM5fDgnTgzPmZ/fPNrfsyfXXJMPfSgHDuTSS896Haf3Zkvw/K9eMOAnOXkyv/pVvvvdHD2ap5/+N6f3Xvva3HhjPvnJXHttLrlk2D59EbP9mRA8L9m0/DPX2z73XO6/P4cO5eGH88QTmzfFO/3muvLKHDyY/fvzlrdk9+5h4/Q437rdrSR4Xr4XH58/+WSOHs3x43nkkTz22LBxcXE4vZfk+utzyy155zuztJSLLkpy1r2wOd8Ez7kxHmc83kz3kUeyspKVlXz/+8O63cXFYalPkssuy3vek3e9KzfckLe9bWb7XEjwnEvT7PP8svznnssvfpHV1Rw5ktXV4TkLC0P2Sa64Iu94Rw4dOuvcHueP4Dn3pgf54/Hmut1nnskf/pB7782hQ/njH4djgekanmuvzUMPbT6T80rwnEfT8s88Ib++npWV3HNPHnwwTz+dU6dy9935xCdmupdNBM9WePHpvWefzb335tixfP3reeMbh/8LnG+CZ6u9eNE+W0bwzMb0W3rTZTxW4GwZwUMR8yooIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8i/LKFrFFkkO5gAAAABJRU5ErkJggg==", "image_next": "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", "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', [-1.6476419033893253, 0.8931479580319671, -8.034389030436595])", "action": "('move', [-1.6476419033893253, 0.8931479580319671, -8.034389030436595])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJUklEQVR4nO3cX6jmdYHH8c/zPOeonQtp7CKx8KJoooktt9moaFsvIodlwKYiZiH7d1BM1HAlQd1Fk1BYg3A2a2WnbLVVqGVdDsoI3WzpxUTUMkNFxoairOmNCF5MNec8z28vzjPjSdxll8wz83xer6sDhx/84Jz38/3+vt/v8xsNwxCgw3i7bwB49Qgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiixt9w1UGoasr89/Ho2ytJTRaFtviBajYRi2+x6AV4kR/tU1m2U8zq9+lZtuyvPPZ3k5b3lLbrwxr3tdZrOMRoZ6/qg8w7+6xuMkOe+8rK7miSfy4IP5xS9y9tnz345Gmc228e5YeKb02+fYsdx1Vy68MLt3ZzrNZJL19SwvZ2Mjk4mhnj8GwW+TYXhp0j/7Wb7ylVx3Xd72tkynGY3m0wF45fiX2iabtc9m2fzAXV/PZz+bb30re/fm3nszmWQ8Nr3nFSf4bTUeZzTKMGQ8zic/mXPOyRNPZHU1l12W55/PeJwt8y9TMf5wpvSnkp/8JNdem0ceSZJ3vjMHDuTCC5MMs4xOfDJby+cPYYQ/Zcxm2b07Dz+c667LykqOHs3FF09vuTW//e1fXzvs2zccOTLf1EsynW733XJ6EvwpY3MCv7KS22/P/fdn167pCy9M1u577JH/+rdDw9rasHt3rroqP/5xRqP5ir5nfP6/TOlPPbNZxuPhqaemf3vz0uq+yx7+8Ddu3zhzMpoOo43ZeGUll16aSy7Ju9+dJBsbWXJ4iv8zwZ+SptNMJkOS2fCDH+Tr/zD6l7XkeJYmw3SaIaM3vCEf+1iuvDI7dyYvt8cHL0vwp6rNHbvxOKMcOzZ69AM3/N1//MW/T/4ysywtZ+P4LBmff34++tFcf31e//oXL7J5z//Cf8epajze3LSbbmRlJXsuHg6d+Vdr04v+dHxkWJ9laTxZylNP5Y478o535EtfynPPzS+aTj3b8z8ywp8GhiHDKONDD+Waq4b/fPKfJqsHplcczQXJZGlptLGRJOedlxtuyL59eeMbk2R93ZdueRmCP01sruQ9/XRu/JvRvff87k/+7B8vefSf//WsH/0oSc44I8ePJ8nb354rr8xHPpJzz03mSwHbedecagR/+jixIj/9+69N/vx9ede7nn023/lODh7Mz3+ebMn+ve/Npz6V1dWceeb8fJ6hnk2CP62cOGc3JOvrOWM5SZ58Mg88kC9/Oc88kyRLS9mc5L/nPbniinz60/NLlU8Ef/oZhnn24/Fsltlsvg//7LO5667ceed89W4yyXSa5eVccEFuuil79mR5OUmm0/n5fToJ/rS3dSvumWdy22154IH8+tfJieyTfPCDuf76vP/9ec1rMgyZTh3XKSX4BbH17M1jj+XAgaytzSf5y8vzV2bu35/V1Vx0UZJsbMw3/qgi+EVzcmX+8OHcd1/uvju/+c18i259PZNJ9u/PZz6TD30ocVCnj+AX0Gw2f4BP8sMf5u67c/BgcuKFerNZduzInj35wheye/f8EodzSwh+YZ18TdbGRo4cyW23ZW1tPqRvHsU755zs3Zubb86b3zy/xIC/8AS/yDZX9E+evXn00dxySw4fzrFjL2Z/1lm5/PJ8/vN505sSz/aLTvCL7yU78Gtr+epX8/3vz9fqNzftzz4711yT/fuza1eSHD+e5WWT/AUk+CJbB/z778899+R730u2HNE7//xcemk+8Yn5aG+Gv3gEX+fks/0LL+Shh3LnnTl8ONmye7drV/bvz9VXZ8eO7b1TXnmCbzQM2diYL+M/91wOHcqtt+aXv0y2nMzduTOf+1wuvzwrK9bwF4fge22+YmNzhn/sWL75zdxxRx5/PPn97B98MDt3mt4vCH/DXuNxJpMMw/zdmVdfnaNH88Uv5q1vndc+GuXcc7Njh1fiLw4jPHMn5+1PP52DB/Ptb+fxx/Pd7+bjH/eqzMUheF609Xs1R4/mpz/N3r157WsT36tdFILnpbaezGXBCJ6Xt/m9Wm/IWjCChyJW6aGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIfwPllD1Ohkkf6gAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "95bb1b9308d210345e4d6a5ad58bff187381af95a97d328194cda9b57af0364f"} +{"episode": 8292, "episode_seed": 3340942270, "split": "train", "timestamp": "2025-09-15T22:49:03.365646", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3340942270, "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', [-0.03445892835731533, 1.9562049348412154, 54.60070284614326])", "action": "('move', [-0.03445892835731533, 1.9562049348412154, 54.60070284614326])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.03445892835731533, 1.9562049348412154, 54.60070284614326])", "action": "('move', [-0.03445892835731533, 1.9562049348412154, 54.60070284614326])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.03445892835731533, 1.9562049348412154, 54.60070284614326])", "action": "('move', [-0.03445892835731533, 1.9562049348412154, 54.60070284614326])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKqUlEQVR4nO3dX2iV9QPH8c9zzlmgoagRc6QYVAsJF4KN/kyjMVMxSDc020XQrC5a0EUUxBKaGUYGXQzypoFZZG0uNPDCPytNR3+cUQTVGonbrNECpUWh7vzp4nl29kf7/bR+/nbO83m/7nb2TM7N2++f83zPE+RyOQHwkJjqNwDg/4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwY+TyymTmeo3AVxFBD8ql5OkZFLZ7FS/FeBqIXhJUi6nIJCk7m4lElH8QOzYBx+2HQTq61NtrWprdeSIgoC5PWLJOPhcTtls1HZrq6qqtGePBga0e/fYBUC8pKb6DUydIFAQ6Lvv9MIL+uADSSot1dNP65lnJCmRiCb5QIy4Bp/LaWhIHR1qbtbQkCStXKmXXtKSJdEF1I44Mgs+P0sPAh04oMZGSbrhBj37rBoblUopk1EyOYVvELiqgpzJSjW/D5/388+6/37deqtefFGLFkVLempHrBkEP77kzz/X8LCWL49G8tOnNWeOpk9XOq1kkmk8Yi/uu/TZrHI5JZM6e1ZbtmjZMj35pE6eVDKpdFrz5mn6dGUySqWoHQ5iHXw6rURCiYQ++kgPPKBNm3ThghIJnToVzfBzuei/A8BD3Kf0Q0N67TW1tOjcOQWBHn9czz+vG2+8xJIeMBDrXfq2Nm3bpu5uSaqoUHOz1qyRxFY8bMUr+GxWiYQ0uif/9tvq7lZJiZ56Ss89p7lzo4Mx1A5XcQk+PNmaSo39GARqbtYvv+jll7V8uSRlMtw/B3OxWMOHt8QHgXp69N57Wr1aS5aMjfYhFu1AHEb4dDoa2Hfu1Nat+v57HTum9nbNnDnhvjpqB4o++GxWqZR6etTcrF27JGnGDK1YMTZ1p3NgnKKd0uen6G+8oVdfVV+fJFVXa+tWVVZOuADAqGIb4cNbZcIBfHBQDQ06cEDZrGbNUlOTGhs1bdrYd1oAmKiogs/XHm7I5XI6cULZrFat0iuvqKJC0uS9OgDjFM+UPn+3zNmzmj07enHfPn31lZqaJFIH/rsiCT6MeWREmzapp0fbt6u0NBrtNe5jOQD/UZFM6RMJHTumpiZ98okkLVqkzZuVzSqTiU6/UDtwGQo7+HCnfXhY27appUW//aZUSuvXa+NGia+dA65YMQS/fbu2bJGkm27S5s2qr49+S+3AFSrsNXy4dO/r0yOPqKxMr7+usrKpfk9AESvs4DU6yP/0k8rKxj6QA/CPFHzw0oRvp6F24F8o6H7CxhUE0Tl2agf+ncJNKD+up9PKBWzIA/8DhRt8EOjMGSUS0eHXkRGe4wz8W4W7hk+nVVenBQu0alV04DV8kbtsgH+sEIMPd+L379fKlZI0Y4YqK1VTo4cf1oIFY5dxKA64UoUYfPgdNmvWaO9eJZNjT2qfP1933qknnlB19dj+Hdt5wOUrxODD7bodO9TSot5e/f67pGgDT1IqpZtvVkOD6uo0b56uuUYS99QDl6UQgx+vq0s7d6qrS99+GwWfH/PD2+ofekiLF2v+fEnRln4yyYAPXFrhBj9+if7rr+ro0KFD+vhjnTkjSSUl0WE5SRUVevBBVVfr3nuj6/PPmAIwXuEGHwqrLimJfuzq0pEj6ujQl19KigbzkRFJmj1b99yjmhpt2KDS0uh6NvaA8Qo9+FCYff4Rr4OD+vpr7dql99/X+fOSorvsQ7fcorvvVkODli2b8C/wHRlAcQQfCh/0rtFHRWUyGhxUW5t27FBvr86dk8bt7U2bpvJyPfaYamtVWjr2J+IcPYwVU/B5F38Ud/iw3nxTn32mH3+MXsmP+ddeq/XrtWGDbr89muqH8wX29mCoKIPPm7REP31a7e3q7NTRoxoelqSSEmUyUfmVlaqr09Kluuuu6PqREbKHl+IOPi+bjR5CIymXU2enDh/Whx/qm2+kiXt711+v++5TTY1qa3XdddH1YmMPHmISfGjS3l5/v06c0Lvvas8epdPSuM/wg0C33aaqKj36aPSgmhDxI95iFXwofHJ0EEQbdefPa2BAu3ertVWnTkXl5/f2Zs7UwoXauHFswJeUzY493gaIkxgGnzdpby+T0f79am3V8eMaGIhezJc/a5bq61Vfr4ULNWdO9Of5ZQIQD3EOPnTxLL2vT++8o85OffGF/vhDklKpKG9JVVVat05Ll2rx4ql4u8DVFP/gxwvn6uFU/8IFHTyoQ4e0b596eyVFi/9wb2/uXK1YodWrtXatUikeRYuY8Ao+NGlv74cfdPy42tu1d290QSoVLfXvuEOffiqN3uoDFDvHFWp4riY8WhcEKi9XebnWrtXJk2pr01tvqb8/unLdugkH8oFi5zjCTzJpb+/PP3XwoFpa1N+vo0ejh1Yyn0c8EHzk4r29wUGec4O4IfhLCE/psG5H/BD832Imj/jh4MjfonbED8EDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIXPaTbWxVO41wAAAAASUVORK5CYII=", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIXklEQVR4nO3dT4ydVR3H4d/73jsVaxdk3NgFxFAgEFkSa2IobiGkhIULtMGNqCGgKFAK2lAohVoofxKVBOpCE0hAFsSACwQUl2ywNhANbCCkbuSvpNSZue9xcccLGhIFW6Yz3+fZ3cm7OJtPzrnnnHlv11orIEO/0gMAPjmChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCC/zfDUMOw0oOA40bwy1qrxcXq++r7am2lRwPHh+CrqoahWqu5uTp4sHbtqldeqaqaTFZ6WHCsjVd6ACtvGKrvq6ru++lw1z39yy/XkSO1d291XbVWXbfS44Njp2vB69dZzy++WNdvHx5/oqvqTjqpJpN67LG68ELBs9aELumnm3NdV4uLde/dw/lbhsef6MfjrqqOHq1zzqmNG1d6iHAcJC7pl5ZqPK6q+uPzbfv2+u1TXVU3N1eLizU/P3znW7VzV3/Sp0zvrEFZS/rWammp5ubqrbfqgfvrll2Td98bjce1tFRVw1fO72/Z3c47T+WsWUHBzzbnnnmmbr+9nnqqVdetm6uFhfrsfLv2mva9q/tPr6/JpEajlR4rHB8Rwc8W50eP1s031wMP1Ouv17p1tbBQVcNFF7abbu7PPberUjtr3BoPvrVqbXlif/b39f2rJ88fHFXVdBl/8sltz57uG5e1z2zoJpPquuUnYa1ay8FPJtX31XX1+t/avn1t/139ZFLTzbm+rwsuqHvuqdNPX37SxE6CNRv8bCv+N0/UjTcMBw91fd/1fS0ttU2ntR9c019xRVUt36K1G0+INRh8azUMNRrVq6+2fT9uP7uva62bfWO/bFu3Y0ed/YVueg4vdaKsteBn+3MPPdT27u0OHWp931XVMNRpnx9239pd+rVuet9mbm6FhwqfvLUT/OzU7fDh2rGjfvVIO/qP9yf2y7/Z7dxZp5xqK55oayH42Rp+YaEefbSuv75ee61Go+W/n3lG27evtl7cdV0Nk+p6y3hyrfrgZ9P1X/7cdt9aDz7YqvrpVvyGDbXt68Oe2/r5+apyVRZWefDTrfjJpH5+oO2+ZXjt8Gj6sbXavLluvLG2bq2SOvzLag1+1vDB59uuXe2xX/dVy5fnxuN23bXdVd+tjRtraalGI7XDstUX/Aen6zvvaHffXYf/WuNxt7RUVW3zucO+/aMtW6rKVjz8p1UW/Ow6zZ8O1dVXTn73h9k92bZ+fdt+XXfd9lq/vvvgjVpgZtUEP31lxXhcb75ZBw7UTTfVe+/V3LpaXKiqdt6Xhzv391/cvHzk7kYNfKjVEfzsjP3ZZ9vu3d3TT1fX1Xhci4u18XPDlVd127d34/H7jwEfahUEPz14e+fvte+2yU/u699+e3adpi6+uN2wozZ/yRoe/ierIPiqevLJtnNnPfdcVXXT/2ydn689e2rbttqwoRYXazy2hof/7sQNfrob//Y7tWvncP+BOnKkXzdXC4vVdcPWi+qO/f0ZZ1S5JwsfxYkbfFW98EJdckm99FJV1WhUk0k79ZT60Q/b5d/uy+YcfHQn6Ftrp9P7aFRvvLH8yophaJd+te2+vd+0qZs+4Bs7fFQnaDTTX30566y6995aXKyzz65f/qIeeqTftGn5F6BM7PAxnLhL+um43n23Hn64tmypM89c/l1XEzt8bCdu8FOzo3W34uH/d6IHX2Vih2NmFQQPHCvmTQgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyT10AEJXNUe2sAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "b1e96ebd0542e21d2a4991bdc23249832934a103e158124ace26d29a80d79daf"} +{"episode": 8293, "episode_seed": 2651446574, "split": "train", "timestamp": "2025-09-15T22:49:03.972433", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2651446574, "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', [-0.8424312401183318, -1.3233112637254292, -35.057418200912444])", "action": "('move', [-0.8424312401183318, -1.3233112637254292, -35.057418200912444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.8424312401183318, -1.3233112637254292, -35.057418200912444])", "action": "('move', [-0.8424312401183318, -1.3233112637254292, -35.057418200912444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK0klEQVR4nO3dTYhddx3H4e+9c+8kcUJSk7S+IMXXhaQLUShdRVAQqhE0pWahYkwloFSpdSEikipoXUipmlLRUmp9I4oLpRqqIFLdWDCrBgJSlFSx9N3MtCYz98XFOUgX2pe5Z3Iv/J5nOcNcDjN85tz///zOub3pdBqghv68DwC4dAQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8nZlMMpnM+yB4QYKnG+Nx+v30+5pfaIKnA5NJlpZy7lweeST9fqbTeR8Q/4fgmdV0mn4/Dz2UD34wH/hAnnqq/SILSPDMqtfLH/+Ygwdz+nROn84nP9nWrvkFJHhm0lS9Z08uXky/n+EwP/1pbrklvZ7gF1Fv6s/CbCaT9Pv53e/y3ve22fd6+f738+EPZzTKYDDv4+N5nOGZVbMz/6535VvfynCYwSCTST772Tz4YAaDjMfzPj6eR/B0oNfLZJJjx/LpT2d9PcNhHn88R4/mH//I0pILdQvEW3q6MZlkOs3aWg4fzv33Z2kp43GuvTYnT2ZlJb1eer15HyLO8HSlmbrZvTt33523vCXjcYbDnDqVr3wl/X5i034xOMPTpWYD78EH8+53Z22tXcN/73u54Yb2W8yXvwBdajbwrr46d92VbduSZDrNjTfm979Pv28Db/4ET8eaDbzDh/OFL2Q8zvJyLlzIxz6Wv/61XdgzR4KnY83m3Hicz30u112X9fUMBjl3LkeO5PHH0+tpfp4ET/eatfrOnbnjjrztbRmNsrycBx7I8eOZTNq3AMyF4NkSzeX3K67ID3+YV70q6+tZXs53v5s77rB1N0926dlCzc78fffluuuysdF+8Ze/zMGDGY+ztDTXgyvJP1u2UHNv/MGDufXWTKcZDDKd5oYb8tBDWVpyZX4OBM+WG4/zmc/k4x/PxkaWlvLYYzlyJI8+msRi/lITPFurGart93PbbTlwoL1Q9+c/5+abMxolJvAuLcGz5Zo39pdd1k7drq9n27b85Cf52tfaQR3NXzI27ZhN86jaZpL+BTX3xv/mN7n++qyutoN3P/hBPvIRt81fOoLn0mn+M9x5Zz71qQyH2djInj351a9yzTUm7S8RwTOD6TR/+UseeSSvf33e9KaX+BO9Xm66Kd/8ZgaDjEbZvz+//W1e85r2W2wp/1TZlOm0XXl/+cs5dCh3391+8cU0Y3Zf/3re976MRhkOc+ZMPvGJrK+/xBdgJoJns8bj9Hp5+umcP99eZHtpvfZ62b493/lO3vGObGxk27b8+tf5/Ofb515qfksJnk3570D87t3p9/PMMy/rR0ejvO51ue22XHFFLl7MYJDbb8+JE+n322t1bBHBM5uVlUwmefLJl/VDzer9wIF84xvtgG2vly99Kfffn+FQ81tI8MzmssuS5IknXu7PNQ+3/ehH88Uvtov5Z57JTTfl4YfbCVy2guDZrGZLfffuJDl/fhMv0EzdHD+ew4fb2+bPns3Ro3n22cQG3tYQPLNpgt/YaD+D4mVm2kzdnjiRa65pz/MPPJAbb/SU260ieDarKXLXriS5cCFPP72515hMsm9f7rwzr31tNjYyHOaee3LrrUks5rtn8IbNaobjTp/OyZPZty/HjmX37s1NzzSjtb/4RQ4fzmiU6TQ7duTee3PokKnbjgme+ZtO20+Yv/323Hxzlpezvp4rr8x99+Wqqzwqo0uCZzbTaXtSHg5nWXY3zff7OXYsd93VXrd7+9tz6lQuv7z9CHpmJ3gWRTNmt7qa978/f/hD2/z11+fHP24v1NnGm51/m2xWc6pYW8uHPpS3vjU/+lGSWZ5B/d/LfPfckyuvbDftf/azfPWrau+M4JnN8nL+9KecPZu//S2Z9ep5c2X+jW/Mvfdmx462+VtuyalTiedhdUHwbFbzmRLLy9m1K71e1ta6etXpNO98Z06cyGCQjY285z15wxvabzEjVzyYQXM+f8UrMp221+Fn3hJqgh+Pc+RIzp7NU0/l29/Ojh3e1XdD8Mxs794kmxu8+Z+a8bskx49nZSWJ5+F0xm+RGTTn3Fe+MklXZ/jnv/DKSrt1r/au+EUys71729V20mGazXv7WLp3SvDMbGUlo1EefbSdietussMtNJ2zhmcGTY779+fAgVx1VTY2sn27+1oXmUk7Zvbss7lwISsr2b593ofCixA8FGIND4VYwzOz8+fz859nbS3XXps3v9lF80UmeGbQjL898USOHk2SkycFv+D8YZhBs0t/+eXZtSuDQf7978TTJxea4JnZzp3tJ0j861/zPhRehOCZWa/XTtc2D6t2hl9ggqcL+/Ylm3w6PZeS4OnCnj1J2lviTcMuMMHThT17srSUCxeSbOLjKLhkBE8Xtm/PeJwnn3Qv64IzWksXzp3L6mr27s2rXz3vQ+GFCJ5OeRLVYvPui06pfbEZraULq6s5cya9Xvbvz86dzvMLyxme2TRLwjNncuhQjh3Lww8nniC/uJzh6cJwmH/+M889l9XVeR8KL8QZni7s3ZteL+vree65xHTt4hI8Xdi2LYNBLl5sb5hjUQmeLiwtZefOTCbun1lw1vB0YXk5V1+dv/+9/RQaw3aLyuANXZhM8thjGY2yb59n1y4ywUMh3nrRkek0k4nV+4JzhodCnOGhEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/AeMjbodDA8MzwAAAABJRU5ErkJggg==", "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', [-0.8424312401183318, -1.3233112637254292, -35.057418200912444])", "action": "('move', [-0.8424312401183318, -1.3233112637254292, -35.057418200912444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG6ElEQVR4nO3dz1bb1hrG4U8maYEQ/Ccd9Q56DR1yt72X3kSHHYRgsAMJWB1IITlncJIlex1v+j7PSDDaa8m/9W0JCXd93xeQYXbsBQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIK+OvQBetr4fD7ruqOvgxwievej8ZRE8033+XNtt7XbV97Vciv8FcA3PFI+PVVV//FFXV/X773V1VTc3Vd/s8GmTCc8Uu11V1V9/9X/+2VXVYlHX17VYHHdRfJ8JzxTD7v3dfDeb7Wazqqrr6yoTvnkmPNOdn4+j/vFx3NLTOBOeKYYJfzGf/fxzV1VPTyb8yyB4prt4252fd1X1+FgfPhx7NfwAwTPFOOEv6uysqurpaQzehG+c4JnuOfjdrr9+r/UXQPBMMUz4N2/G4Kvqw/unMuGbJ3ime/u2zs/H45trrb8AgmeK52v409PxF+/XJ2XCN0/wTNT3dXr6dcLfbWZVNfOBapvzwxRdNz5OfzZO+Pr0qapqNjPkmyZ4JhrCPn8z/nh/Xx8/mvCtc37Yy+Wbp6q+qh4ear2uchnfNsGzl/ll/xz87e2xV8P3CJ6Jhhv1i9WsqisT/oUQPHuZL2avXv1H8LRM8Ew0TPjLeb1+XfXNlt6Eb5ngmWjc0i/G4O/va33Tl+DbJnj2Mv8y4T996tcfdsdeDt8heCYaJvx8Xj+9Hn7RDxO+TPiGCZ69zOf1+qfhsLu960rvbRM8E/3XNXxVd7s9OeaC+AGCZ7rdri4unoOvzabKd9G0TfBM1HW121XXfQ3+7q6q6uTEjfp2CZ59zS/Hm/ObTX3+7P2Zpjk57Gt5Ob4/s9mMu3qaJXimGy7Xl6tueJx+u63ttsqzNw0TPPta/TLenL+7E3zrBM++FsvxvvxmMwZPswTPdOOW/ss3wz9v6WmW4NnXcjnemb+73W033p9pmuCZ7nnCD8F//Nhv7rw/0zTBs6/Vqrquuln1VdttVyZ8wwTPvoYJP+uq6mR77xPVNKeHfS0WX5+fH56u9Th9swTPdN9eww/b+JubKt8/0zBnhn2dntbZWb/bVdX4fywF3yxnhgNYXT4NB+t1DeW7b9cmwXMAq+XY983N+CVztEnwHMDyy+P0gm+c4DmA5bvxg7Re18PDcdfC/yJ4DmC1Gg/W63HCu4Zv06tjL4B/g+f3Z9br/uHBX+HbJXgOYD4fR/rff3e29C0TPAfw2291dVW//lrv3tVyWeVhu1Z1vYstiGHCcxjPg8Nsb5ngOQydvwj+LAdBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gFybAg66hmWZwAAAABJRU5ErkJggg==", "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": "6e7dd7e9acf0e769ed59ccf501d9d6e62121d70bb14e45601c40b16cfe583ecb"} +{"episode": 8294, "episode_seed": 2878142181, "split": "train", "timestamp": "2025-09-15T22:49:04.579500", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2878142181, "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', [-0.5303507099175413, -1.5680087276509465, -26.52732909610383])", "action": "('move', [-0.5303507099175413, -1.5680087276509465, -26.52732909610383])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.5303507099175413, -1.5680087276509465, -26.52732909610383])", "action": "('move', [-0.5303507099175413, -1.5680087276509465, -26.52732909610383])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.5303507099175413, -1.5680087276509465, -26.52732909610383])", "action": "('move', [-0.5303507099175413, -1.5680087276509465, -26.52732909610383])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALW0lEQVR4nO3db2hV9QPH8c+5f2aiGIUihlJKkaWGFUaGlEbhKmpkmM3MB/4jFpQunD2IAoWSRLPEoLI/YPpgNnIhuKQwIQst0pFKPYhEG6a1NLOG27339OActn6/X+l2N3+es8/79XiO6+W+9/2e7/me7w3CMBQAD5mL/QIA/P8QPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwSKIwvNivoJ8ieCROGCoIVCpd7NfRHxE8kiWqva1NmYyKRYb6PkbwSJYg0Lff6rHHtHu3slmFoYrFi/2a+hGCR4KEodrb9dRTamjQ/fdr7VoFgbJZpvd9huCRFMWigkCrV2vHDmWzOnlSS5Zo5kwdOaIMn9M+whuJpIiqnjlTM2bE0/hcTg0NmjpVjY3xzzDU9xLBIymCQJKuvlr19Vq1SoMHq1BQRYV++EEPPaS6Op05o0xGhQIreeULQt48JEm0Si9p1y7V1urrr5XLqVRSqaSpU7V6tW66KR7nmeeXgfcMyRLVXizqjjvU1KTHH1ehoFJJFRX69FNVVur115XJKJNhel8ORngkVLGobFaSNm7UsmU6dky5nAoFSZo7VytXasSIrp9BNxE8kqtUUhgqm9XBg1q6VNu3x2N7oaBx47R6taZPj3+M6X038T4huaK8i0WNG6cPPtDzzyufj1fyDh5UVZVWrNDZs6zk9QAjPFKgcwz/6CPV1urQoa7pfWWlXn5ZY8eyktctvD1IgSjjMNT06fr4Y82ZE9eey6mpSXfeqU2buqYDOAeCR2pEj9CNGKGNG/Xaaxo2LJ7eHzumOXNUU6Off2Yf7nkwpUfKdE7d9+3TkiXatUtBEI/tEydq3TpNmSL97X4+/o4RHimTySgIVCzqxhu1bZuWLo1rz+e1f7/uuUerVsXb8qNFfvwdIzzSqnMlr7FRixfr8GHl8+rokKSqKr3yiq68Mi6flbxOvBNIq0xGYagwVFWVdu7UjBnq6FAQKJ9XY6OmTVNDg7JZVvL+A8EjxYIgnt5fdZW2bNGaNRoyRB0d8SM3s2aptlanT7OS14UpPZIn+kz2ZM2tWIyv7b/4QosXa+/eeBpfKum227R2rSZNKuO39kOM8EiYaHk9CHq04BbtqC8WNXmympr05JPxA3YVFfr8c1VWat26rumA8xjHCI/kaW/X8eMaNaqMf9q5krd5s+rq1NLStZL36KNauVIjR1qv5Fn+p5FM0djT0qKFCzV5sg4eLOMIy2glr1TS7Nn65BPde2+8kpfLadMm3XWXtm+3XskjeCTMb7+pvl4tLVq/vrwL7s59ONdeq8ZGrVihgQNVKCif13ff6YEH9Nxz+uMPZbOOzRM8EiO6br/+etXVSVJ9vb78suwuo5X5bFbPPqutWzVxojo64sNzVqzQjBlqbo6Pwba6qCV4JEyppJoaXXGFWlu1YUO8/l5WlNFVeqGgu+9WU5Pmz+86PGfHDk2frnffjVfyfG7aETySJJqODx+up5+WpPfe01df9XTF/r9+Xy6nYlHDh+vNN7Vhg4YOVXu78nkdP65587RggVpbjRbwbP6jSItotK2u1nXX6c8/tW6d1NvH3KOpexBo/nzt3Knbb49X8oJAb72ladO0a5fa2iym9wSPhImOpxwxQjU1ymS0ebO2bZN6+4Wy0fJfqaTx49XUpGeeUUWFSiUNGKBvvtHs2TpzpjczidQgeCRPdGOtulrXXKPLL4931fTFFrlo9X7gQL34orZs0dix8QlZTzyhYcMUhv1/bs/GGyRSNAVvblYmowkT4tl2H+XYeTbm0aNaskS//65t25TLSQYbbwkeSdV5hEXn7rm+O9QimkNks+roUFubhgzpk9+aAgSPBOsc2H/6SW1tGj26bw+yuQB/SZKuv1+yINWiu3SffaaqKlVX69Sp+JmYPtJ5iWBSuwgeiRZNP3/8UXv3av9+vf9+fIcN5SJ4JFg08j7yiO67T2fP6u23dfw4XyvXGwSPZIvG87o6BYH27NGHHxrNvy8AgkfihaEmTVJ1tUolvfqqTpyw2CJzYRA8ki16tGXgQC1apEsv1YEDqq9nkC8bwSPxov1xt96qBx+UpOXLdfgwg3x5CB6JF7U9YIAWLtTgwRo9Oh7hGed7jo03SInog9rcrJEjNXRo1zm16AmCRwoVi/ETNeghpvRIlWizbTarAwd09Kgk7sn3CMEjhdavV2WlXnghPmWeWWq3ETxSJTqn5vvv1dKiLVu0bx/fI9UjBI9UiQbzZcs0Zkx8ymWhUPYpl4YIHqkS3aIbPlw1NQoCvfOOmpu5J999BI+0iSbwDz+s8ePV3q6XXpJ6e8qlD94mpE301RSjRmnePGWzamjQnj1Sb0+5NEHwSKHoW2DnzNENN6hYVG2tCgUm9t1B8EihaJVu6FDNn6+KCk2YwGbbbmKnHdIp+tyePq0TJzRmTHwqBpttz4fg0S/4HEPZO0zpkXLRiBUE2r1bv/7KxrtzI3ikWdT2qVOaO1dVVdq6laW7cyN4pFm00zaf15Ejam3VG2/ol1845fIcCB4pVypp0CAtX65cTnv3qrFRYrn+XxE8Ui6aw99yi2bNUhhqzRq1thL8vyF4pFy0CeeSS7RggQYN0qFDamiQ2Hj3z3IX+wUAvRY9ITtlihYt0qlTuvlmiVn9P+M+PPqF6D78yZO67LKL/VISjeDR73R+KSz+B1N69CPR6EXt/47g0Y9w3X4+/C0EjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIX4jiBfrM9FilAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2ElEQVR4nO3dXahlZR3H8f+z9jmNM4UDdhGFxEw2MY4gvUhdqFMhRi8wYElRqb1aRhe9gIUgWF0UXXSjSGYv03QTBXOlkhbpkEkaEag4OiSUkoEgDuqMh5iz19PFPniROY0zU7P3+X0+d+dusdjf819r7Wc/q/XeC8gwnOoDAP5/BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM886v1UH8E6JXjmS+81jtXaqT6OdUrwzJfWahjqyJEqc/5/QPDMi96r93r00br00rriiqqqcTzVx7TuCJ65sLpardUNN9Q559TevXXLLXX77X0yqen0VB/Z+iJ45siWLVVVk0kdPty/f2NfWVkb+5wsgmcuLC3VONauXfWe9/TptCaTdue+4Td3jEtLhvzJJHjmSO917bW1vNyr6tChfvMP2zPP1GRiyJ80gmdeDENV1Tve0T70wZpOa3m53fHr2revtyb4k6Z155K50Xu1qocfqXPPHauG1dU6//zx9tuHV76yqnw5fxKY8MyR1qpXbd9eX7iqra725eW65552261d6ieLCc98Gccahnp4f3/nu+rpg226Wtu39z//uW3ceKqPbF0w4Zkvw1DjWNve1D7z6Zqu9qWleuSRtnt3VXlcfxIInrnTey0t1eWX19atNZ1Wa3X99XXw4Nr/Ak6E4Jk7k0kdOVI7zmkf/Wib/XngQN10U7VmyJ8owTOPZt+9X3llnXXW2qrbPXv6449163BOkOCZR8NQ02lt2VKXXVbDUK3VgQO156ce158oT+mZU7MP5sGDdd5bp399bDJM6nWvHffd1c56Y5tOazI51ce3mEx45tRsmJ9xRn3lq0NVDa3+/ve252dVVcNg7d1xMuGZa73Xykq97c3jgUeHYahNp03vf2DYsrWVhXfHxYRnrrVWmzbVtdcNvfdhqOcOT773vWpN7cfJhGeu9V6t1TPP9Pe9t//h3mEyqaVh+sCDkzduk/3xMOGZa63VONbmze3LXx4mQ6+qfx6ZfOO60W388RE8C6D3ev8H6t3vrum0hqFuva3dd5+Fd8dD8My72Xfyr3pVXXVVbdzYe9Whw+27362qGkdz/uURPAtgtpvlhy5tO3e2PlZV/fa39atflYV3L5fgWQAvPJy7+uo67bQahnr22br55v7882s3+RwjwbMYZqvrL7qoLrqoZivt7rij7ryz2/HuZRE8i2Qc61vfrKGNVbWy0m68oQ4d6p7YHzvBszBmb6F669vqYx9v02ktL9evf9Puuqv5Nv7YWXjDIpmtw3noof6Wt/Teh9XVevt54933DMvLFuEcExOeBdN7bd/evvjFtrral5bqj38afvkLW1kfKxOeBTN7Yvfgg/3ii/tTTw3Tae3YPt73p2HTxrWd7TkKZ4gFM1uHs2NH+8TlNZ32yaQe+cvw4x9MX3jJNEcheBbM7F59MqlPfqpt3VrjWOO0fvST4ckn115Qx1EInsUz2+Xy7B3tIx/uvfelpXpof9u92y6X/517eBbSOFZr9cQTtXNn/e1vVVVnn1233rq2s7UNsF6KCc9Cmv1U7swz67Ofrd5rGGr//vr5z2vqkv6oTHgWWO/13HN17rn98cfbMNRrXjP+/u629Q1t9r4qXsxZYbGdfnpdc03rvdpQ//hH+8nuKtvdvTQTngU2+/A++2zfeWF/4MFhMqkNrxj3P9xe/3q7XP5nJjwLbJb05s3ta18fhtaHoZ5fGb7zbe+reEkmPItt7X0VT/dLLqnf3d2GoTZsGO+/f9i2rdzJv5jzwWKbbYBxxqvb56+qDRv6MNTKyvClL639IzDO/o3gWXiz9Ta7drULLmirq7V5c1144drVvmv7f+OSnvVgtthm796699763Odq27ZTfUDzSvCsE7OfynN0LulZJ16o3Qg7CsGz3pjzRyF4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIvol/phy6F5gQAAAAASUVORK5CYII=", "image_next": "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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": "89c72ba560952b810fc40354fd7b1a6dfd13dbf7f49cd819c0f540a292c1e077"} +{"episode": 8295, "episode_seed": 231224102, "split": "train", "timestamp": "2025-09-15T22:49:05.532814", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 231224102, "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', [1.0918944103974397, -4.229040163826112, -12.870147865935897])", "action": "('move', [1.0918944103974397, -4.229040163826112, -12.870147865935897])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.0918944103974397, -4.229040163826112, -12.870147865935897])", "action": "('move', [1.0918944103974397, -4.229040163826112, -12.870147865935897])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.0918944103974397, -4.229040163826112, -12.870147865935897])", "action": "('move', [1.0918944103974397, -4.229040163826112, -12.870147865935897])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOklEQVR4nO3dW88dVR3H8f+aXaDQBoQQDg2GxKSpFVsTVCKHig0WROWgNWATXwMvhrcAiVgJcEfBUE6FBoJUibVKiCdulAJJUyqlffYsL2ZbNDFcaR8zv8/ncl/Nk8z3WWvWzJppvfcCMgzrfQDA+SN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CLJhvQ9g3Yxjra3VMNRiUa2t99HAedF67+t9DMB5kjiln/7FPfJIPfRQHThQp09/+iPMW+IIP441DHXjjf3IkXbZZXXPPfXww3X55avfYcbiTvBxrNbqrbfqL39ui0WdOFEbN/ZLL11dz8O8xZ3jy2W1Vk89ufzww1ou6+KL+/fu7ouFKT0RsoLvvYahzpypF19svXpVbdvWbvvm0HstFut9cPC/lxX8ONZiUb86Ur89NlS1qv61G5dXXmk+T4qs03wcq6oOHhz/9texqi65pH3/nqF39+FJEfTgTe+1YUOdOlWvvDpMF+xXXzXe/d2hynyeFEEj/LRcd/Q3/fDh3lq1Vt++o194YRnhyREU/FT1a6/XBx/UYlG9930/WZz7HRKkBD+tw3/0UT39dKtqy2V9/rp+y81VgidJUPBV9e679cIL0/BeP9zbLrpovQ8Lzq+U4Ke7bs8/Xx9/vFqi27u3dY/QEyYl+KpaLuuxn/bW6syZ2r69tm8vc3nSBAX/pz/VoUOr4f2+++qKKwzvxIkIvvfqvZ54ovdqvdeGxbj79j4Mq400kCMi+KpqrR7fP1bVclk7d7YbdrSyPk+e+Qc/PU579Gj97u2htarqu3fXli21XHp+njjzP+WnefvjPx9Pnmy918aL6rbbemsu4Ek0/+Bbq7Nn67nnWu+9tbrhy+2WW+2HJdTMg18ua7GoN9+s37/dpvd5ff2r41VX1dqaC3gSzTz46QL+F8/2997rVbVpU7vrO81uGWLNeXvsuf2whw+v+t6ypd91dzOfJ9acR/hz76t8/Y2a9sPefnu7eKP9sOSac/CT116r94+vPi+zb5/aiTbb4Kd5+8mT9ewzVVVra3XddbVrV7Xm9ju5ZnvuT7fZ//iH/tLL43TFfv/9dcEF63tQsM5mG/w0jL98qJ061RaLqhofeKDKfliyzTb4qvrkk9q/f2ytnT1b27bWDV/SOunmGfy599u89FItNlTv9YO9w2Wfs2GGdPMMvqp6r6ee7FVD9VoM4517emur53Ag1jyDn+667//ZWFVra7VzZ/vidiM7zDH4aT5/7FgdPTYMQ1X1PXe2q6+2HxbmGPxyWVW1f3+dPt3GXhsvrFtvHofB+jzM8Vn61mq5rGeeWV2x7/hKu+kbbfpuLISbWwTTftg33qh33ln9ctNNdc01vg8LVbMMvqoOHOjHj1dVbdpUe/ZUuRsHVTWz4Ff7Yf/+6X7Y66/vd9yx+iw8MKvgp3X4Xx/pb/5ytUB3681982avo4aVGS7avfJqP/5+WyxqsagHfzxYroNz5pPCNJ8/caIOHhym78NuuWb5rd32w8Kn5pNCH6uq3nmnv3JoHBbVWt17b5s+FAtM5hN8G6qqDh9uJz9qGxbVe39w33z+OvivmEkS04urTp2qxx6rqnbmTG39Qt+xo8oNOfgXMwl+0lpt3VrXXlvDUD96YNi8eb0PCP7PtD67a9zTp+vRR2vXrtq2zSsr4d/MLXiFw2eY1ZS+/nnFvlxanIf/YG4jPPAZ5jbCA59B8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkH5J6qdX3pb7vAAAAAElFTkSuQmCC", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOklEQVR4nO3dW88dVR3H8f+aXaDQBoQQDg2GxKSpFVsTVCKHig0WROWgNWATXwMvhrcAiVgJcEfBUE6FBoJUibVKiCdulAJJUyqlffYsL2ZbNDFcaR8zv8/ncl/Nk8z3WWvWzJppvfcCMgzrfQDA+SN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CLJhvQ9g3Yxjra3VMNRiUa2t99HAedF67+t9DMB5kjiln/7FPfJIPfRQHThQp09/+iPMW+IIP441DHXjjf3IkXbZZXXPPfXww3X55avfYcbiTvBxrNbqrbfqL39ui0WdOFEbN/ZLL11dz8O8xZ3jy2W1Vk89ufzww1ou6+KL+/fu7ouFKT0RsoLvvYahzpypF19svXpVbdvWbvvm0HstFut9cPC/lxX8ONZiUb86Ur89NlS1qv61G5dXXmk+T4qs03wcq6oOHhz/9texqi65pH3/nqF39+FJEfTgTe+1YUOdOlWvvDpMF+xXXzXe/d2hynyeFEEj/LRcd/Q3/fDh3lq1Vt++o194YRnhyREU/FT1a6/XBx/UYlG9930/WZz7HRKkBD+tw3/0UT39dKtqy2V9/rp+y81VgidJUPBV9e679cIL0/BeP9zbLrpovQ8Lzq+U4Ke7bs8/Xx9/vFqi27u3dY/QEyYl+KpaLuuxn/bW6syZ2r69tm8vc3nSBAX/pz/VoUOr4f2+++qKKwzvxIkIvvfqvZ54ovdqvdeGxbj79j4Mq400kCMi+KpqrR7fP1bVclk7d7YbdrSyPk+e+Qc/PU579Gj97u2htarqu3fXli21XHp+njjzP+WnefvjPx9Pnmy918aL6rbbemsu4Ek0/+Bbq7Nn67nnWu+9tbrhy+2WW+2HJdTMg18ua7GoN9+s37/dpvd5ff2r41VX1dqaC3gSzTz46QL+F8/2997rVbVpU7vrO81uGWLNeXvsuf2whw+v+t6ypd91dzOfJ9acR/hz76t8/Y2a9sPefnu7eKP9sOSac/CT116r94+vPi+zb5/aiTbb4Kd5+8mT9ewzVVVra3XddbVrV7Xm9ju5ZnvuT7fZ//iH/tLL43TFfv/9dcEF63tQsM5mG/w0jL98qJ061RaLqhofeKDKfliyzTb4qvrkk9q/f2ytnT1b27bWDV/SOunmGfy599u89FItNlTv9YO9w2Wfs2GGdPMMvqp6r6ee7FVD9VoM4517emur53Ag1jyDn+667//ZWFVra7VzZ/vidiM7zDH4aT5/7FgdPTYMQ1X1PXe2q6+2HxbmGPxyWVW1f3+dPt3GXhsvrFtvHofB+jzM8Vn61mq5rGeeWV2x7/hKu+kbbfpuLISbWwTTftg33qh33ln9ctNNdc01vg8LVbMMvqoOHOjHj1dVbdpUe/ZUuRsHVTWz4Ff7Yf/+6X7Y66/vd9yx+iw8MKvgp3X4Xx/pb/5ytUB3681982avo4aVGS7avfJqP/5+WyxqsagHfzxYroNz5pPCNJ8/caIOHhym78NuuWb5rd32w8Kn5pNCH6uq3nmnv3JoHBbVWt17b5s+FAtM5hN8G6qqDh9uJz9qGxbVe39w33z+OvivmEkS04urTp2qxx6rqnbmTG39Qt+xo8oNOfgXMwl+0lpt3VrXXlvDUD96YNi8eb0PCP7PtD67a9zTp+vRR2vXrtq2zSsr4d/MLXiFw2eY1ZS+/nnFvlxanIf/YG4jPPAZ5jbCA59B8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkH5J6qdX3pb7vAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "dcf08690ff1c16271fb7a97855fe910d35d7b40dea07483b4b9f32a4aa865f3f"} +{"episode": 8296, "episode_seed": 3157027272, "split": "train", "timestamp": "2025-09-15T22:49:06.139615", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3157027272, "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', [-5.399440698351817, -1.1411309749070322, 37.77345395493645])", "action": "('move', [-5.399440698351817, -1.1411309749070322, 37.77345395493645])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.399440698351817, -1.1411309749070322, 37.77345395493645])", "action": "('move', [-5.399440698351817, -1.1411309749070322, 37.77345395493645])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.399440698351817, -1.1411309749070322, 37.77345395493645])", "action": "('move', [-5.399440698351817, -1.1411309749070322, 37.77345395493645])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI3UlEQVR4nO3dzYtdhRnH8eecOwmpxoQ2JmKTYEUwolablBaXblzZVmvalcQmoqWC3VRBLP4BKqilFNsqurG+LWyKAUE3ioKbQGxQ42usL0ijRnyLGBzvOV3czGwKTTKZ9N6b3+eznFncs/ne57w8c6bp+76ADO24DwD4/xE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBl/8H1fw2F13biPAwLMjPfjR50PBlVVfV9NM97DgRPcmCd821bb1pNP1vbtNTs73mOBE984J3zf186ddc899eCDVdXv3t2cfbY5D8fR2Cb8KOz336/77qvhsA4ebO69t69SOxxHTd/3Y/ngUfCff1Y//Vn/3HNN29bSJd2rr7Xr11fJHo6PsU34pqmuqxUr67rfVNN0bVtfHWxvv72TOhw/Y5vwVTX65I8/rs2b+2efbdq2Tjm5e2F3e8YZVVXt+J8YwolmnFWNhvypp9ZVW/qlS6ua+uyL9rZbu7at8X0LwYlszGO0aWo4rF/8st20se+GfVW/Y0ezZ0/ftjUcjvfQ4AQ0/ufwfV8rV9a2bbVkpmnb5t/76q9/6Zum+t6ch0U2zmv4kVHYXVc/3NS9+FJbVevW9Tt2NBdeWMPhoSU8YFGM/87YaJjPzNQNNzR9X4NBvfdePfJIffONh3OwyMY/4efNztbGjf2ePU3b1urV9cwztWFDdZ3b9bBoJiWmvq8lS+qWW5q+r7atffvqgQes2cIim5QJPzqKAwfq4otr164aDGrZsu7VV9t162QPi2ZSJvzoSv6UU+qG3/VVfdvWl1+2d901EV9GcMKYlAlfVV1XTVP799fll/fPP9+0bS0/uXv55fa7a6tpDHlYBJMy4auqbavravXq2ra1Zpb0TVOff9Heems3+jlw7CYo+Jpbtv35Fc2mjc1w2FdTf9/evPFmWbyDRTFZwY+G+apVddWWfmamaZr64IO6+0/d6IsAOEYTdA0/Mlq8+/rr+vGPupdebvu+zvxePb6jP//8xuIdHKPJmvA1d7t+2bK6/vpDi3f/ert/+KHeKT0cu4mb8DX3TH52ti74fvf6G23T1Nq19dRTdc45Fu/gmExiPaMncEuX1s2/b+e36x999NBzu8n7goKpMYkTft6BA3XRRbVnT7VtrVhRL75Ya9davIOFm8QJP9L3tXx53XRTjbbrP/mk/ny319rCMZncCT+/eHfppbVzZ7VtrTh5+MrrgzVrXMbDAk1uOvOLd9de0w8GfdPWp18Mbr/N4h0s3OQGX3OP6C67rDZurOE31TT1yMP17rtVpXlYiIkOfrRRu+a0ZsuVNRj0VfXBR+0f/9DZtIWFmejga+7E/uprmnPP6UevvvvH480rr9SSJZqHozYdwS9fXtf+uqpqZqb27q2HHuy80xYWYHLv0s8bHeBXB+sHF3R732r7vs48s554ojZs8FpbODqTPuFr7sH7Sd+qG29suq4fDOqtt/rHHjv03A44clMw4ecdOFAbN9bevdW2tWpV7dpl8Q6OzhRM+JHR4t3NNx9avPvww7r//iqLd3A0pmbCjw5z//665JLavbvatlau6F57vV21yuIdHKmpaWW0hLN6dV13XTVN37b1yaftnXf0Fu/gyE3NhK+57fp9+/pLf1Iv7Gqapk5b073wz3bNGq+1hSMyNRO+5hbvTj+92XJltW1fTX34UXvnHRbv4EhNU/A1t4ezdWtz7rnVd9V1tX178+abNRg4sYfDm8rgv/2d2vqrvqoGM/X2O/W3B7zWFo7INF3Dj8z/F7pNm+qdd2p2ttavr6efrrPO8sY7OIzp62P+v9D99vp+drbOOqs2b66TTjr0K+B/mBn3ASzEaIxvu7r57PO64oo677yqsnIHhzd9p/T/bXa2ZmbUDoc3xcH3fQ2H1TT+YA6O1BQHDxyt6btpByyY4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwBTYQvwSHQUkgAAAABJRU5ErkJggg==", "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": "24747cf44baaa2eeeddf1ca975b4edf786ee5affd0cc2d3daf97d2e67ffb2465"} +{"episode": 8297, "episode_seed": 3884829579, "split": "train", "timestamp": "2025-09-15T22:49:06.743679", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 3884829579, "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', [-5.624197346551193, 0.02354374715250403, -9.978288730029789])", "action": "('move', [-5.624197346551193, 0.02354374715250403, -9.978288730029789])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKJklEQVR4nO3dW4hcdwHH8d/earc2rWncNlZr0IIWTKhIvdSNVixFUREEKeIFLQTBWij1weKr4JuPsUHES1YUMZqgiIKC4EtVqArS4os3NLTaXAnpJXuZ8WGmk1hLEtNqNvv7fBjCJMzuHnbO95z//3/ObqaGw2GADtMXewOA/x/BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBwwtjOMxweLE34lwED8/XcJi1tUxNZWrqYm/KuQgeLtxwmJWVTE1lZianTmV5+WJv0LkIHi7EcJjV1UxNZW4uq6v5+c+za1eWltb7qH5quM43ENafwSDT00myspJ9+3LgQH7wg6ysZNu2PPxwrrwyw+E6Hd4LHs7LKJRJxk89la98Jfv25Ve/Gp/qp6eztpbdu/PpT6/f4Gcv9gbAejccZjDIzMz4r0eP5oEHsrSUP/0pg8E47NES/bvfnTe8Ick6rT3O8HAWo4n63Nz4+R//mL1788ADOXYsSaanMxgkyUtfmttuy/3355Zb1m/qI4J/HkYjudE7fElck+G8ja60zc4mydpafvnLfO97+fKX8/TTSTI3l5WVJLnxxtxxR+6+Ozt2XMytPX+Cf+GsrWV6+nT2o4P/5HDApWM0UJ+ayupqfvjD7N+f7343KyuZmcnMzPja2+tfnw98IHfemZtuSv7jzV+3BH+hlpezf3+uuSYLC9myJQsLmZ+/kM/zn9//9b/XbFBnrrQtL+drX8v3v59f/OL0lfbV1SRZXMwnPpE77si2beNXzs6OF+3XP8H/90b7xV//mte8JnNzmZ/P/HwuvzwveUl2786b35zhME88kX37smlTrr8+Cwu57rpcddWFf7nJ0lDyHE94fkbrbZNiT57Mnj1ZWsof/jC+f26SyDvekfvuy+JitmxJkpWVTE+fXsy7JFilv1DHjmXTpjz9dI4fz5Ej438c7TVTU/nLX7Jr1zjU2dnMzeXFL84NN2R+Pvfckw99KINBhsM88khWVnLttbnssvHL5ubGTyZGJ5dnGQyytpaZGdk/H5OJ+ui7+Le/Ze/efOlL+ec/k2fezOEwV1+dnTvzuc/lTW8avzOjA8GZ79KlQvD/vdHesX17fve7HDo0fjz6aJaX8+pXj19z6lR27MjRo3nyydOPQ4eS5J3vHL/miSfyqU/lwQeTZNOmvOxlWVjItddmy5Zs35677x7vUI89lr//PVddlSuuyPz8+M/p6UtmELkujVKfmcnsbAaD/OY32bcve/bk5MnkmTW5wSCvfGVuvz333DO+2JZnZmCX1ln9TIb0/xsrKzlyJIcP59ixHD06fhw/nsOH88EP5vbbk+T48Xz0o3nwwZw8OV7zndi+Pb/+dS6/PNPT+fzn84Uv5BWvyNVXZ/PmbN6ca67J5s3ZujV33pmXv3z93uSxXo3Oz6OLaj/+cQ4cyLe+lVOnMj2d2dnxmtyOHXnf+/LhD2f79uSMZbxLnTP88zD5ecjJk8kYe24uW7dm69azffiVV+aLX8yhQzl5MidO5MSJHD+eo0fz+ON53ety2WXjGziPHMnycv785+f4DLfeKvjzN7lVbmYmg0G+/vXs35+f/jTLy+OJ1+pqlpfzxjfmYx/Le96TG29MMl6c3zDDKWf4/5nRLD3/flwY7Vln73M0mnzRi8avP3gwBw/mxIn84x95/PEcOpTDh/Poo5mZyVe/muuuE/zZPWtNbnRL7NJSfv/78bhqcv/MrbfmM5/Jzp3jA/WluCZ3ToK/qEYHhcnhYDQzP2e9a2vjg8L8vNTP4sybZ5I89li++c3s3p2DB8cHydE3/oorsriY++/PW986vrQ6GfNvPIJfZyZvx6TkyRFhY0wi/y8ma3Kjqh9+ON/5TvbsGd8SOxq9J7n++rz97bn33rzlLac/MBv6iqfg2WjW1pJnFtJ/9rPs35+lpTz55Hg6NRrG33RT3vWu3HVXbr45Keh8QvBsTN/+dg4cyI9+9Oy732++OR/5SN7//rz2tUmyutp1iVPwbBCjafnycr7xjezdm4ceGi+/T02N1+RuuSX33pvbbssNNyQbdE3unATPRjCasf/2t7nrrjzyyL/dEjs3l8XFfPazWVwc3988+inHttRHXIdnIxjlvW1bnnrq9EWPhYXs3Jn77svb3jZ+2ehUP1u819fMXdjQRr9easuWfPzjGQzyqlflk5/MT36S/fvHtU+uxvdM159T8bGOjWU0RN+1KzMzee97x7+RYnV1fHGuYQX+fJjDszFtsFtiXyiCZ0OZ/CcwnWty5yR4KGLEA0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+BUS/gmeUp8wZAAAAAElFTkSuQmCC", "image_next": "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", "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', [-5.624197346551193, 0.02354374715250403, -9.978288730029789])", "action": "('move', [-5.624197346551193, 0.02354374715250403, -9.978288730029789])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.624197346551193, 0.02354374715250403, -9.978288730029789])", "action": "('move', [-5.624197346551193, 0.02354374715250403, -9.978288730029789])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "31c13ca1a18c64ed8580b9aabffc4ea542bfb17e56a611e2a9bd60638e327e86"} +{"episode": 8298, "episode_seed": 2850567743, "split": "train", "timestamp": "2025-09-15T22:49:07.350351", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 2850567743, "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', [3.1887505285669264, 3.8971063686285823, -56.065744814094465])", "action": "('move', [3.1887505285669264, 3.8971063686285823, -56.065744814094465])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALeklEQVR4nO3dX4gVdR/H8c/vzNnNqPVPuaBYWKJiXrQFgahIShFSmRKrmBdG3SQaWIZBN0JFEJEFliQmFEF/YP2ziehmJRZuhEVYoqQZJkqlpmltuLbnzDwXM6tPPvGQunvmNJ/3626PN4N73vud+c1vzglJkgiAh1LeBwCgdggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPC5DkqhaVZLkfRz4p8p5HwD+5aIo7yPARWDC45KkUz2O1dmp7u7zr6C+ETwuXhwrBB09qrlzNWuWtm6VCP7fgeBxSZJEcaxDh/TLL1q0SIcOqcR76V+AXxIuXqmkONbw4Vq+XIMG6cgRLVyos2dZwKt/BI9LEkWqVjVlip55RuWyOjr00kuKIsVx3keG/yck/EnGpUnvycWx5s3TunVqatL772vaNFUqKnP3p04RPC5DkigE/fyzJk3SwYO65RatXatRo5QkXNLXJ34ruAwhKI41bJhWrVII2rVL27crBK7k6xYTHpctnfMvvKCGBj3+eHaqH0UKIe8jw4UIHn0trR11iVN69JF0AU9SFOmTT9TVxYl9HSJ49JFSKbt6X7ZMs2fr6acVgqrVvA8Lf0Hw6CPpAl4I+uEHHT+ulSu1bp2iSJVK3keG87iGR99JV+9On9bUqdq1S+PHa9Mm3Xij4pi7dHWCXwP6TnpKP2iQVq5UU5P27tWTT6q7W0nC9XydIHj0qfTEftIkLVsmSWvXavXqbNGe5usAp/Toa+lafaWiuXO1YYMGD9bmzZo4MTvhR66Y8Ohr6eV6Y6Oef17jxunUKa1ZI4na6wETHv2jp0cNDXrrLX3zjZYt08CBqlYVAqt3+SJ41MS57Xec2OeKP7foT+kH40iKIu3Zo337slU95ITg0Z/OncOvW6eZM/XYYzp1SmLFPjcEj36Wtt3Vpe+/19atWrlSpRLB54VrePSz9A1WrWrRIq1erYYGbd6sO+/kYj4XBI/+l26tPXRIM2Zo926NHq3OTjU3S9yrqzVO6dH/SiVVqxo5Ui+/rIEDdeCAFi+WuJLPAcGjJtJPub3jDi1ZoihSW5tefTX7Q4Aa4pQetZLeovvzz+zLalpatG2bhgzhEy9rif9o1Ep6i+7KK/XKK5o7V21tGjSIB+lqjAmP2vrvxflzz8mzYl8rTHjU1gW1nzihr76i9poheOQh3V27c6dmztSsWTp4UGLRvhYIHnlIx3tPj77+WocP69FHJfENFjVA8MhDuaxKRZMn67nnJGnzZj37rCTu0vU3Fu2Qk/SNF4LmzFFbm5qbtXq1Zs3iEy/7Ff+zyMm5hboVKzRqlI4fV0dH9gpDqN8w4VEHPvpIGzfqqac0bBj7cPoVwSNv3ISvIf6UIm/pZ+Cc+2wc9CcmPOoDc74mmPCoD9ReEwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICRwgafJHkfAVB/Cht8CJLU1aWTJyX6ByQVOPgff9Rrr2nMGC1dqjhWtZr3AQF1ICSFm32Vispl3X23tmyRpOuu06ZNamlRtaooyvvggFwVcMKnJ/MPPKByWVGkI0e0ceP51wFnBZzwkpJEZ8+qpUX79ysEjRmjbds0YoTiWKUC/okD/qnCvv0HDNCCBZIURdq/Xx98IDHkYa+wE17SiRO66SadPKkk0W236eOP1dSkJCF7+CrmhE+THjpUCxcqjlUu64svtGMHN+fgrpjBq3fIz5mjIUMUx5L04osKgfEOa4UNvlRSkmjMGM2end2Q+/RT7dwpsQkHxgobvKQ4VmOjWlt19dVKElWrWr48ex3wVOTg0yE/daqmTcsi375du3erVKJ5mCpy8CGoUlFDg+bMUWOjQtCxY3rzTYVA8DBV5OAllcuKY913n26+OYt80yYdPpy9DrgpePAhqFrVwIGaPVtRpBD03Xdqa5O4koelYm68uUAc648/NG6cfvpJSaJJk7Rhg5qblSTstIUXi/d7CGpq0vz5ShI1NOjzz7Vjh0Lg/hzsWAQvKUm0cKEGDFAcK471+us6c0ZRRPPwYhF8usHu+uv14IOqVlUuq6NDu3ZRO+xYBK/eJbqHH1ZjY/b8zIoV7LSFHZfg07BbWnTPPapWFYLa23XggMROWzgxCr5a1RVXaP787Mfubq1YIRE8nLgEL2XL8lOmaOrUbMi3tenYMZbrYcQo+FJJlYquvVb336+GBoWgo0e1alW2AxdwYBS8pChSHKu1VWPHKo6VJGpv14kT3J+DC6/g0+fkhg/XvfdmP+7dq/b2bPgDhecVvHqfmV2wQEOHZh9uu369fv+dx2lgwTT4G27QjBlKEkWRtmzRZ5/xzCws2AWv3nvyixeroUFJoiTRO++op0flMlfyKDjf4FtadNdd2ZBfv1579+Z9WED/cwxeygb7kiXZE7JdXXr7bYlvqkDRWTwP/7/S7fRdXZo+XZ2dKpXU1KT9+9XcLJE9ist0wqdLdFdddf7rqE6f1po1pI6CMw0+FYKmTdOtt6pSUQjZQ/JAgfkGnz5OM2KEWluzxfkjR/TGG+y0RZFZB59qbdXIkUoSVSp6912dOcPjNCgs3+AlRZEqFY0dq+nTJSkEffmlOjqy14HisQ5evc/MPvSQrrlGSaLubr33XnZzniGP4nEPPn1+bsIETZyoEFQq6cMPtWMHX0eFYnIPXso+mv6JJyQpBP36qzZsUE8Pt+hQQKYbb/7WhAnauVOlkoYOVWenRo9WHPNNFSgU3s5S707bpUslqVzWsWNqb5fYcofCYcJLvTttT53S5Mn69lvFsZqbtW+fhgzJ/gkoBia81DvJBw/WI48ojjV4sMaP12+/5X1YQF8r530A9SK9XJ8xQ3v2aN483X67JMY7ioZT+r/Hch0KiQn/F+kG21JJUZT3oQD9gAkPGOG0FTBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wBvAhzeHmXRSgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [3.1887505285669264, 3.8971063686285823, -56.065744814094465])", "action": "('move', [3.1887505285669264, 3.8971063686285823, -56.065744814094465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.1887505285669264, 3.8971063686285823, -56.065744814094465])", "action": "('move', [3.1887505285669264, 3.8971063686285823, -56.065744814094465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI00lEQVR4nO3dX+jddR3H8ff3nPPzh00DL70ZeKGIsBuhOW0ZTEZFsnL+QaFsRS5lmdk0/LM0WxJiRIgXmQheSi5WIGiaVw7MYBDOwEDZcjm2Kbg/2Jq/8/1+uzirO4PN/c75rdfjcbddfTk7z/P5nO/7+zlr+r4vIMNg1hcATI/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgOXVdV30/64vgZAieU9S2NRhU08z6OjgZgudUjMc1HNbBg3X0aPW9df6MIXhOziTv0ahee62uu662bj3xN5o/IzS9fyhO3lNP1QMP1L59dfbZ9cwztW5d9b3t/RnACs/JmSwQy5bVvn01P1/HjtVtG7u9e6tpLPJnAMFzKm68sTZvruPHa36+9h0YbPx2Ox7b2J8BBM/JaZoT07i77+ov+0x3/Hg/HNYLLw4feaQfDKptZ319/E++w3Mq2raGw/rzn7ovfbkOH26aas45t/v975orP9+MxzUazfr6+BhWeE7FcFhtWytXDbZsGfTV9FWHDjW3b+r+sbcfDqvrZn19fAzBc4oGg1pYqE2b6qtX921bc3PN638dPvxwM6ndxnFpsqXn1E1GcQf216qV7Z69w7m5Go/7p59ubr65uq4GVpOlR/B8IpPmX3qp1q2r8bjG4zrvvNqxoy65xGR+KfIhzCfV97V2bf3w7n7yvO0HH9Stt9aH/3S0ZikSPJ/IZA3vurrr7mbNmmrbmpurV17ptz7UDYeCX3Js6TkNJlO6Xbtq3bp6550aDKqp7tnf1FeuGSws1NzcrK+P/7DCcxoMh7WwUCtW1H339tX1fV8L48E99zVvvVVzc57GWUIEz+kxCfuWjc2GDV3b9vPz9eabteX+rh3XwGP2S4YtPafN5K106HBd+bn+jTea4ajacfeLn9edmwemdEuE4DmdJqO4V1+ttVd1//poUFXnLOtffKlZudKUbknwqcvpNDlac/nl9eOHqm27pqnDR5rv3NIdPer87JIgeE6zSfPfv3Nwww3NeFxnnVV/eb3ZvLmq3L2bPVt6Tr/JlO5vb9bVV/dvvd0Mh9U09eSTtWFDmdLNluBZFJNDstu39zfd1HRdtW0tX17PP18XX3zi44CZsKVnUYxG1XV1zTXNpk21sFCDQe3ZU7d/tz9yuJ/s+ZkJwbNYmqbath58sFatqvG45ubqjy/XY481k/mcneVM2NKz6HbtqtWXt0c+HI5GNTfXPffcYM0a52dnw0vO4ur7WrGifvnYsGn6waCOHRts/Fb73ntqnw2vOouu6+prX69vfqM++qhGo3r778NNm/rJ4XmmTPAsrsnzNqNRPfSTuuTibjzuR6Patq154lf9aGQyP22+wzMNk1Hcyy/3119fR4421fefPrd74YXBysuadlxDv3I7LVZ4pmFyfvaqq5rv3V7tuKqaDw4NN99VBw/WwK/cTpHgmZLJZP5HDzRr17RtW/PztWNH8+ijJ07U2GhOhy090zM5MLd7d11xRb9/fzMYVNfVtm117bXO0k2JFZ7pmdzAu+CCevzxZjSqwaCapu64o9+9R+1TInimretq/fq67bYaj/vhsN59t9l0a9e2dvXTIHimqmlOLOZbt9bq1c14XPPz9fwf6mc/7ZrGZH7R+Q7PDEymdDt29OvXN++/X01Tyz7VP/tsfeGL/i/KxWWFZwaGwxov1OrVzf33dH3fjUZ19MPm/i114EA/uZnPIhE8szGaq76vO34wuOG6E4/c7txZ995TfgxrUdnSMzOTt97+/bX6s/3uPc3kjzt31qWXOku3WLyozMzk7t3559cTv66+r+XL67fb6qKL1L6IrPDMWNdV09T27XXhhbVixayv5v+d4Jm9/z5mN4nfQziLR/AsCZO3odQXm4knS4LUp8O9EQgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjybxIxMH9byhIuAAAAAElFTkSuQmCC", "image_next": "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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": "acd37cf7258a2e3e69ce55dc364dd3880d7b461957684ccef99f0f831ef3a338"} +{"episode": 8299, "episode_seed": 1839206196, "split": "train", "timestamp": "2025-09-15T22:49:08.296545", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 124, "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": 1839206196, "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', [-0.8861669967547453, -1.5740255349349417, 25.710250214963065])", "action": "('move', [-0.8861669967547453, -1.5740255349349417, 25.710250214963065])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.8861669967547453, -1.5740255349349417, 25.710250214963065])", "action": "('move', [-0.8861669967547453, -1.5740255349349417, 25.710250214963065])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.8861669967547453, -1.5740255349349417, 25.710250214963065])", "action": "('move', [-0.8861669967547453, -1.5740255349349417, 25.710250214963065])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJtUlEQVR4nO3dT4icdwHG8WdnN2saapulbtp02816KHo2oNiTIEXEg0WQIvTUivSo0EOFpgfbioIUPAjerL2oqOjBgxRyFYooYinSg2azaVJCk5DYhLbZP+Nhprs13Uhsm/33fD68DMNkZjMz7Hd/7/ubed93YjgcBugw2O4nAGwdwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORqe1+ArD9hsPNb5+Y2NrncfMJngqjpN8b9sTERs97L+zrETx7ynC40fZ63pOT46TfH/bqapaXc/Vqlpdz7lxOnMjiYhYX89pr+fvf87Of5ejRrK5mcnILX8PNJHh2q1HS712STE1lsNnE1PJyrlzJlSu5fDlXruTcuSwtZWkpJ0+OL0+dysrKxv0nJ7O6mlOncvToFr2crSF4doFrxu3R9cnJzdu+fDnnz+f8+Vy4kAsXcu5cTp/OmTM5cyavv57Tp3PhwiaPmprK9HSGw6ysZDjM6mqS/OMfefDBvTO8R/DsQO/d0h5dHww238w+ezavv76xnD2bc+fGyxtv5Pz5vPXWJo+amsrkZNbWxm2PrA/v+/fn8OHcfXdmZ/PpT3+Ur2snmBheb4ISdoy33hqvdS8t5bXXcvJkTp/OpUt5882NZTQmX2NiIoNB1tY2n4f/xCcyP5977924vPPO3HZbPv7x8XLgwF6bzzPCs7NcvJhXXsm//pWlpSwu5uTJLC7mzTfzzju5enU8u3aDRuv8U1PZty93352FhSws5MiR8ZXDh3PgQKan87GPZXp6862DvUfw7BRraxkM8uKL+cY3srb2fzxwejoHDuSWW8bL4cNZWMj8fObnx3nPzWXfvht6AqMVgfUp/T02vEfw7DRHjuTWW3P58ubN33ZbZmZy8OD4cnY2996bubncc0/m5jI3l4MHb+h/uWYNfxR2wyAveHaKUW/z8/n3v5Nkbi6zs7nrrtx5Z+66K7OzOXQohw5tXJme3uSHrK5mOLx2iH7/QL33hu4bZNKOnWV1NcePZ//+zMzk9tvHy6aWl8dtX7PwPwieXWBlJWtr2v4ICJ4dZ/0Dtv+xTs4HI3goUjAvCbxL8FBE8FBE8FBE8FBE8OxR67u28x4+lmMvWv96Lf/NCM/eMtrnZmIii4t56KG89NLGjdh5hr1jVPVgkHfeyfPP5+mnc/p0Ll7M73+fW24x5o8Inj1htDN9kr/9LceO5Q9/SJLDh3P//eND0qk9iW149o6LF/PTn+aHP8zFi0ny4IN58sm9dtDZD80Izy43GrFefTWPPpo//SlJPvnJPPFEHn00k5NZWcmUX/IN3gt2p/Vt8uEwg0Gmp3P2bJJ861t5/PHcd1+SrK6q/RpW6dltRgemHwyyspLLl3Pw4HgD/vjxvPFGvv718Ukkrndo626CZ1dZP+3T0lKOHcsrr+Q3v8nCwn9Nwq9P4PE+3hd2j+XlTE5meTnPP58vfCEvvJC//CXHj197N7Vfny0cdoPRAL5vX/761/zgB/n1r5NkZibf/nYeeMBn7DdO8Ox4o57ffjs//nF+8pOcOpUkX/lKnnoqn/3s+A7cGMGzU62fNXJiImtrefbZPPNMkszO5nvfy8MP59Zbs7o6PpsUN8Y7xY40Or78YDA+NdxgkAceyKFD+epX89JLeeyxce3XO4Ms12GWnp1neXl8aqjf/S5Hj2Z+PknW1vLPf+bIkfFZnePbsh+Ev47sJKMzs+/bl5Mn853v5GtfyyOPjM9EMxjkvvvGtTsq/QdlG56dZGIik5N54YX86Ed5+eUkOX8+V68m727SS/3DMcKzk5w4kYceyje/mZdfzoEDefLJvPhi7rgjefdU72r/cIzwbKvRoD0cbuzEfuZMktx/f557Lp/73HY/v73GpB3bZ2Vl4zRxi4v54hdz4kTuuSePPZbvfnc8/e5LNR8pwbMdhsOsrY2/Fb++o8uvfpXf/jZPPJHPfGZ8H6l/1ATPllsv+Y9/zC9+keeeyx13ZG0tV69m//4kdmK/ebytbLmJiVy6lKeeys9/nkuXMjeX738/g0H27x+P/Gq/abyzbKHhMG+/nePH8/jjefXVJPnUp/L5z2/8azJez+fmEDxbZbSi/stf5pFHkuT22/Pww3n66czMjL88a4v95rMNz1YZ/aadOpUvfSkzMzl2LF/+8vh2qW8VwbOFRm3/+c9ZWMjsrMm5rSd4ttb6eK727SB4tpyd2LeP4KGIv7JQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5D/RlVLLFjyNewAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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": "049b78c794361849cf3126e7c6ff8ee4dc46a370fc2fc40f47f41f91557164a3"}