diff --git "a/train/batch_000059.jsonl" "b/train/batch_000059.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000059.jsonl" @@ -0,0 +1,100 @@ +{"episode": 5900, "episode_seed": 2217915231, "split": "train", "timestamp": "2025-09-15T22:44:55.093171", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2217915231, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3151087512653394, -0.9930519709822293, -12.214329399897215])", "action": "('move', [1.3151087512653394, -0.9930519709822293, -12.214329399897215])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJk0lEQVR4nO3dXYhcZwHG8Wf2k6RZY2JcFBUv9abghSBBEVRERBBaaLDFgqKWQkssVBAj3loRoWo1qIWINfZSzIWtUhHEO/VCMOiNBJQSSlmq6cd+z4wXM+ajpjVtku6mz+/HsiQzs7OHhf95z/vOmTOD8XgcoMPMTm8A8NoRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBSZ2+kNuMaGwwyHF/47GGRuLoPBzm0Q7CaD8Xi809twzYxGmXHIAi/tdRL8eDwdxn/xi5w4kdnZjMfZ3Mzb3pYHHsihQ/YFkLw+DunPx/yd7+TYsayuTm9fXs6XvpQ3vCHjsdoheR0s2g2HmZnJ6mqOHs1992V1NfPzSfKxj+Uvf8mHP5yFBXN4mLqxg9/ezuxszp7NHXfkoYcyM5PZ2Wxt5fOfz89/nuXljEY7vYmwm9zAwQ+HmZvL6dO59dacOpX5+elM/utfz49+lL17zdvhxW7sRbsnnsjdd+fMmSwsZHMzS0v54Q9z++3TgV3t8CI3XhPnj9Iffji33ZYzZzI/n83NvPOdeeyxae2DgdrhMm6wLCZLdFtbOXYsd92Vc+eysJCtrRw+nCeeyAc+kOEwg4FVOri8G+mQfns7c3N55pl88Ys5efLCEt3tt+d738vBgybt8H/cMH2MRpmby9//niNHcvJk5uaSTIf6Rx5RO1yRG2OEnyy///73ufvu/PWvmZ/P1lYWF/Pd7+auuzIeO7UGrshuP9NusjsaDPKzn+W++7KyMl2Qf8tbcuJEPv7x6axe7XAldnUok/X28Tjf+EY+85msrGRxMZubec978thjF2q3RAdXaPce0g+HmZ3N88/ny1/O8eMZDKYvv33yk/nBD/LWt04fAFy5XRr8JOZ//jNHj+bUqem730aj3HtvvvWtLC5aooNXYzdGM6n9j3/MLbdMz5mdXNPim9/MQw9lYcESHbxKu2vRbrLePjubU6dy77158sksLmZjIwcP5vvfz6c+ZdIOV2UXBT85Sh8Mcvx47r8/6+vT2t/97pw4kcOHp++NUzu8arvlyHgydK+v59ix3HNP1tczP5+NjXzoQ/nVr3L48PQ4X+1wNXbFot3knNmnnsr99+fRR6fz89Eod96Z48ezb9+FK1gBV2PnR/jzb2s/ciSPPpr5+YxGGY3y1a/mJz9RO1xLOzzCT2L+7W/zhS/kzJnppH1pKQ8+mM99zhIdXGM7uWg32dU88kiOHp2+0XVjI+94R37843zkI9neVjtcYzsW/GRsX1vL44/n3Lns2ZO1tbz3vTl5Mu96V0YjS3Rw7e3kIf3kN589m1tvzR/+kFtuycMP501vMmmH62WH5/CTF9v+9Kf88pf5ylemZ9GpHa6TnX9Z7uLC1Q7X1c6/LDd5A+z2ttrhutv5ER54zez8CA+8ZgQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRXbRp8dywf9ed8zl/rgWBH89ne/24uvyTm68+K7JvRcnLW+uDxexfOXO/8Um19k9H+f29iX3Tj4oa+aVT5q2t7O+nuFw+rW9ncEgy8uv5qngUkb4KzAaZTi8pOTJ52C9aByeu9wfczSa/kiS8ThPP52VlWxvZ3MzGxtZX89zz+Vf/8pgkE9/OrOzmZnJb36Tb387//53zp3LuXN5+ukcOpTTp3PokEt5c5UEfwVmZi4zuq6tZX09e/dmcTFJNjfzu9/l2WeztpbV1ayu5rnnsraWlZV89KO57bYk2d7Ogw/mpz/N1laeeSbD4SVPeORIbropSf7xj/z615fctbU13XHA1RH8yxqNMjOTP/85jz+eF17Is8/m+eenSb/wQgaDfO1r+eAHk2R9PXfckZWVyzzJ6uo0+JmZPPVUzp6d3r5nT/bvz9JSlpZy4MCFfcr7358HHsjiYpaWsmdP9uzJvn3Zvz8xt+dqmcO/rK2tzM/n+PHcc8/lH3DiRD772QyHGQyyd282NrJvXw4cyMGD2b8/Bw9mYSGf+ETuvHP6CTunT+fJJ3PgQBYWsrCQ+fkL/3jzm/XM9WaEf1mTApeX8/a3Z+/eLC9n//688Y05cGDa8/vel/x3fe5vf8tNN2V+fjrJv/j7+XX4m2/OzTf//987GmU8nh7GT372sgsE8AoZ4V9b51+We5H/XQKE60DwV+ylQn2pBwiY3UfwUMS5HFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkPxg0OAVSZ2n0AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3151087512653394, -0.9930519709822293, -12.214329399897215])", "action": "('move', [1.3151087512653394, -0.9930519709822293, -12.214329399897215])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKB0lEQVR4nO3dW4hdZ+HG4XdPMlMnB5KUJEjVXqhIkRaEXihWLCIB0SJUMGC00mItgheDiNQDQouIIEpKSQMq5KJV0IpaECwVb5re9EKpSFGqYvFQDyHEprXJJLNnby9mdzKNaf7JP7Z1z/s8hDDMXjtZCfNb3zp8a+3BeDwO0GHmlV4B4OUjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgi+As1Hmc4zHj8Sq8HXILB2I/wBRiPMxi80isBl8wIfz6j0eSLwSBPPpnPfCaPPvqC78N02fhKr8D/qNEo43E2bEiSI0dy8GDuuSdHj+Yf/8jb3pbRKDM2lUwhu/RnWzlWn51NkqeeygMP5Mtfzt/+lpmZzMxkMMgPf5gbbshwmI22lkwbP7MvsLycwSCzszl2LD/4QQ4cyK9+lSRzczl9OqNRrrsuc3MO6ZlWRviJ8Tij0WQf/tCh3HtvHn44SWZns7SUJG95S267LR/6ULZvFzzTqj34lX/9ar0/+lHuvjuHD2c0yuzs5Drcq1+dz30uN96Y170uSZaXJ9sFmDrVwa+mOx7n0Udzxx05fDiLi5mZmZyH3749Cwu57bZccUWSDIeTI3mYUqXH8KNRRqPJWbfHHsv+/fn2t8+clh+NsmtXbrwxX/hCrrwyScbjjMfO0jH16kb4tSfhH3ss992XAweytJSNGzMeZ3k527bl/e/PwkKuvfbMWxyxsz50Bb96/fx3v8s3v5nvfOfM9bbhMEn27cvNN2fPniQZDrNhg9RZVyqCXztEP/10vva1fP/7+e1vk2Tjxknq731vFhby7ndnwwbH6qxb6zz4tRfbTp3KPffkwIE8+WSyJvVrr82dd+b667NlSxIzaljP1m3wKwfkK+keP56f/CR33pknnkjWpH7VVfnsZ/PhD08WW16ezKWD9Wp9Br+8nCQbNuTEiTz0UPbvzyOPJM9PmEty9dW56aYsLOSyy5L/uBoP69V6C37twP7jH+fQoTzwQLIm9Te8IR/9aD72sbzmNZPldU6P9RP82lH6kUdy11158MGcPJmNGydX3bdsycJC9u3Lm9+cZHIpTu1UWQ/Br71Z9Ykncscd+elPc+zYJOaVCTO33pqFhVx1VWLCHMWm+3z02glzf/pTvv71fOtbOXkySQaDjMfZvDl79uRLX8rVV0/esrrDD4WmdYRfO2Hu97/P/ffnq1/N8eMZDCYX0l/1qlx/fW6/Pe9615m32IGn3FQGv7oP/9RT+e53c/Bg/vCHyX3sK2fm3vOe3HJL9u6dLDwYSB2SaQx+ZaA+dSrf+EbuvTe/+EWy5q71d7wjn/hEPvCBzM9PnmbhWB1WTVPwK6mfPp3vfS93352f/zxZM4vmjW/M5z+fG27Irl1JsrQ02eEHVk1T8CuTXg8fzp49OX36TOpXXJFPfSq33prt2yeLuekFzmmagl9Z08XF3Hxz7r8/Sa68Mnv35vbbs3PnmQWkDi9mmq5QDQYZDjM/n49/PL/+dd7+9nz603nTm5Ln9/alDuc3TSP8qqWl/PnPef3rEzvwcDGmMvgVTsLDxZqmXfpVK0+YcysrXKwpHuGBi2WHGIoIHooIHooIHooIHooIHooIHopM5cSb9e8/J0eYY8R/g+BfSqvdrua6MknwrJdWXl2btLx5aZhpd/FW/8fOukdv5e781VdXpv7+P+b6D4dZXMzy8uTXcJjBILt3u22AS2eEvwCjUZaXX1Dyyg16Z43D53wa7mg0eUuS8ThHjuTo0QyHOX06p05lcTHPPpt//jODQT7ykWzYkJmZ/OxnueuuPP10jh/P8eM5ciQ7d+bxx7NzpwdxcokEfwHO+RT7kyezuJhNmyafVnX6dB5+OM88k5Mnc+JETpzIs8/m5MkcPZo9e/LBDybJcJj9+3PffVlayrFjkw/EWrV3bzZvTpI//jEPPfSCl5aWJhsOuDSCP6+V5+P+8pd58ME891yeeSb/+tck6eeey2CQL34x73xnkiwuZt++HD16jj/kxIlJ8DMz+fvf89e/Tr4/P59t27J1a7ZuzY4dZ7Yp112Xr3wll12WrVszP5/5+WzZkm3bEsf2XCrH8Oe18ijMgwfzyU+ee4FDh3LLLZNb8zdtyqlT2bIlO3bk8suzbVsuvzxzc3nf+3LTTZNPxnj88fzlL9mxI3NzmZvL7OyZL3bt0jMvNSP8ea0UuHt3XvvabNqU3buzbVu2b8+OHZOe3/rW5Pnzc7/5TTZvzuzs5CB/7e+r5+GvuSbXXPN//72j0eSj7VfXwcfl8N9ghH95rV6WO4sn8vGyEPwFe7FQX2wBAfO/R/BQxFwOKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJvcHCCVxBMcrAAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3151087512653394, -0.9930519709822293, -12.214329399897215])", "action": "('move', [1.3151087512653394, -0.9930519709822293, -12.214329399897215])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "2fc90c1e06ab0b1583cfb6fb751265dc3086105a4457a9047ede6b9f1cc662a8"} +{"episode": 5901, "episode_seed": 2373142027, "split": "train", "timestamp": "2025-09-15T22:44:55.743831", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2373142027, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8003296399905895, -4.003098016181999, 42.85421163504301])", "action": "('move', [0.8003296399905895, -4.003098016181999, 42.85421163504301])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8003296399905895, -4.003098016181999, 42.85421163504301])", "action": "('move', [0.8003296399905895, -4.003098016181999, 42.85421163504301])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8003296399905895, -4.003098016181999, 42.85421163504301])", "action": "('move', [0.8003296399905895, -4.003098016181999, 42.85421163504301])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIXElEQVR4nO3bX+jddR3H8ff3e36/n0j4h6jJKMTRIoIW2IU35kWBFy4LpknCnBcWhBqRzdb+6aZgLqbNebFZlHWjoILIkAmC3ahksAttUleObmrihZh/GvN3zvl0cX47bJGZWm2/83o8Lg/n4ntxnufz+b6/n2/XWisgQ3+6LwD4/xE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BJnN4Fur1k73RcCZZzaD77rquqqSPZxi1oIfj6uqXn65nniihsOl7CcfAjMV/HQnv3t3rVtXV1/VDv+hVVXf1+Ki1R6qazPUwXhcfV8PPlg331zDYQ2H7eyz2rbt3Q3frpUru9Gouq76mfqLgw9mdn7+rS1t4LuuFubbcFgLC92x4/322+rqq9rjj7fBoPre9p5oM7XCT5t/4Xd196524EBXVQsL9e67tbBQ37pmtGPn4DOrT/kmRJmp4CcmMb/zdj36WNu6efzqa4Ouq65q3NqnP1UbN7bv/6DvTwzz7PCJMoPBV9VoVINBVdXRo7Vt6/iRR+rvx/q5+RouVlVddlndc09dcklV1XBYg4HVnhSzGXydeAI/Kfmpg+M77+xe+H1VdXNzNRxW39emH9WNN7ULL+xaq/F46Q8CZtvMBj81We3feaf23Dva98Dg6NGan6/hsFqrL35hvOnHtf66vqqGw5qbO93XCv9jsx98VY1H1Q+qqg4dqj176uGHq04M86raNd+sLVvq4i91ZZjHrIsIvqpaq9Go5ubq+PE6cKA2bxof+XNXXTfoazRqK1fWjd+tzVu7+fkqwzxmV0rwE9Nh3uuv1113jffv748da3Nz3XBYVXXxmtE9ewZf+Wp1XY1G1fdWe2ZNVvB16jDvuefa1s3jZ5/vq7r5hVp8t6ra925qP7y1X7Wqyo09Mycu+Ilp9uNx3ben7dvXXjnST57PDYd10UW1bVtt2FBnnVWLizU3Z6lnRoQGPzE5Ztv39fLhtndv/fJX46rB/HwtLlZVrV1bWza3L1/Wlbt6ZkV08FXVWg2HNT9fbVwHD7btt3UvvlhdV4NBDYe14pPt+uvb7Tv6c85Z+rKlnmUtPfiJ6TDvjTfq/vtr9+56++2aHNGpap//3PjuXf3Xv9FN372x2rNMCX7J5F36ScmHD9etG8fP/LYbjboTO/zxdeu7HTtq9We7Msxj2RL8KU6e4f/i523v3vrjn6rrur6v0ag+8fHR7TsHGzbU+ec7hM+yJPh/YbraH3ml7b2v7XugGw67Eyfz6vLL65Zb6oorqgzzWG4E/54WF2ty8O6ZZ9odO8fPPtdXLe3wzz231q+vnTtrxYoqwzyWD8H/O9Pzdn97o/36N92OHe3NN7uuW9r5r1rV7thZ123oOm/Xs0wI/n2c/PLskSO1aVM9+WQdP17TYd6Va+snu/o1a6oM8zjjCf4/cvIw76GHavfueumlNn27/mNnj7dtqxu+019wwem9THgfgv8Apqv9a6/Vz+5t+/fXm29Nn9u1Sy/tNm6sdevs7Tlz+WF+AJMTeKNRrVhRu37aHXyqrvxaW1wcV9XCQvf88/X001VVo9Fpvk54L1b4D2M8rtZqMKi33mqPPVrbtterr3arV9ehQ3XeeYb2nLkE/+FND+T+9S+1eUutXVvXXqt2zmiC/0j+KW+1c4bzEOkjmeZ98hgfzliC/++QOsuCKT0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+QclHgeIK+fHewAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIXElEQVR4nO3bX+jddR3H8ff3e36/n0j4h6jJKMTRIoIW2IU35kWBFy4LpknCnBcWhBqRzdb+6aZgLqbNebFZlHWjoILIkAmC3ahksAttUleObmrihZh/GvN3zvl0cX47bJGZWm2/83o8Lg/n4ntxnufz+b6/n2/XWisgQ3+6LwD4/xE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BJnN4Fur1k73RcCZZzaD77rquqqSPZxi1oIfj6uqXn65nniihsOl7CcfAjMV/HQnv3t3rVtXV1/VDv+hVVXf1+Ki1R6qazPUwXhcfV8PPlg331zDYQ2H7eyz2rbt3Q3frpUru9Gouq76mfqLgw9mdn7+rS1t4LuuFubbcFgLC92x4/322+rqq9rjj7fBoPre9p5oM7XCT5t/4Xd196524EBXVQsL9e67tbBQ37pmtGPn4DOrT/kmRJmp4CcmMb/zdj36WNu6efzqa4Ouq65q3NqnP1UbN7bv/6DvTwzz7PCJMoPBV9VoVINBVdXRo7Vt6/iRR+rvx/q5+RouVlVddlndc09dcklV1XBYg4HVnhSzGXydeAI/Kfmpg+M77+xe+H1VdXNzNRxW39emH9WNN7ULL+xaq/F46Q8CZtvMBj81We3feaf23Dva98Dg6NGan6/hsFqrL35hvOnHtf66vqqGw5qbO93XCv9jsx98VY1H1Q+qqg4dqj176uGHq04M86raNd+sLVvq4i91ZZjHrIsIvqpaq9Go5ubq+PE6cKA2bxof+XNXXTfoazRqK1fWjd+tzVu7+fkqwzxmV0rwE9Nh3uuv1113jffv748da3Nz3XBYVXXxmtE9ewZf+Wp1XY1G1fdWe2ZNVvB16jDvuefa1s3jZ5/vq7r5hVp8t6ra925qP7y1X7Wqyo09Mycu+Ilp9uNx3ben7dvXXjnST57PDYd10UW1bVtt2FBnnVWLizU3Z6lnRoQGPzE5Ztv39fLhtndv/fJX46rB/HwtLlZVrV1bWza3L1/Wlbt6ZkV08FXVWg2HNT9fbVwHD7btt3UvvlhdV4NBDYe14pPt+uvb7Tv6c85Z+rKlnmUtPfiJ6TDvjTfq/vtr9+56++2aHNGpap//3PjuXf3Xv9FN372x2rNMCX7J5F36ScmHD9etG8fP/LYbjboTO/zxdeu7HTtq9We7Msxj2RL8KU6e4f/i523v3vrjn6rrur6v0ag+8fHR7TsHGzbU+ec7hM+yJPh/YbraH3ml7b2v7XugGw67Eyfz6vLL65Zb6oorqgzzWG4E/54WF2ty8O6ZZ9odO8fPPtdXLe3wzz231q+vnTtrxYoqwzyWD8H/O9Pzdn97o/36N92OHe3NN7uuW9r5r1rV7thZ123oOm/Xs0wI/n2c/PLskSO1aVM9+WQdP17TYd6Va+snu/o1a6oM8zjjCf4/cvIw76GHavfueumlNn27/mNnj7dtqxu+019wwem9THgfgv8Apqv9a6/Vz+5t+/fXm29Nn9u1Sy/tNm6sdevs7Tlz+WF+AJMTeKNRrVhRu37aHXyqrvxaW1wcV9XCQvf88/X001VVo9Fpvk54L1b4D2M8rtZqMKi33mqPPVrbtterr3arV9ehQ3XeeYb2nLkE/+FND+T+9S+1eUutXVvXXqt2zmiC/0j+KW+1c4bzEOkjmeZ98hgfzliC/++QOsuCKT0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+QclHgeIK+fHewAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "94accd5617b8f01690300f35c225e559d240d6900187585a66c1774f8fdc03e9"} +{"episode": 5902, "episode_seed": 2450998609, "split": "train", "timestamp": "2025-09-15T22:44:56.380035", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2450998609, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.26937423791070525, -11.431969535761207, 30.832952692867497])", "action": "('move', [0.26937423791070525, -11.431969535761207, 30.832952692867497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.26937423791070525, -11.431969535761207, 30.832952692867497])", "action": "('move', [0.26937423791070525, -11.431969535761207, 30.832952692867497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.26937423791070525, -11.431969535761207, 30.832952692867497])", "action": "('move', [0.26937423791070525, -11.431969535761207, 30.832952692867497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "85add25d50309a4cc109f3cf63611f698d66a440f4ab3262876f82ff9f132bf0"} +{"episode": 5903, "episode_seed": 4091748166, "split": "train", "timestamp": "2025-09-15T22:44:57.370632", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4091748166, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.893485470946334, 112.70704342460265, 29.47885519154325])", "action": "('move', [25.893485470946334, 112.70704342460265, 29.47885519154325])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.893485470946334, 112.70704342460265, 29.47885519154325])", "action": "('move', [25.893485470946334, 112.70704342460265, 29.47885519154325])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.893485470946334, 112.70704342460265, 29.47885519154325])", "action": "('move', [25.893485470946334, 112.70704342460265, 29.47885519154325])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "c76dbb3c64eb22359c0f3def44a8f0b6190e107180d7b5ce5552b809ebab5a5b"} +{"episode": 5904, "episode_seed": 122295871, "split": "train", "timestamp": "2025-09-15T22:44:58.004915", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 122295871, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.442386906742948, -5.029716963173839, 9.317534175123152])", "action": "('move', [3.442386906742948, -5.029716963173839, 9.317534175123152])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.442386906742948, -5.029716963173839, 9.317534175123152])", "action": "('move', [3.442386906742948, -5.029716963173839, 9.317534175123152])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.442386906742948, -5.029716963173839, 9.317534175123152])", "action": "('move', [3.442386906742948, -5.029716963173839, 9.317534175123152])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "ee3a53001bfd070b7f85bcc361e7382e792a1186bd193b1e1a226ea7804ef968"} +{"episode": 5905, "episode_seed": 4228170327, "split": "train", "timestamp": "2025-09-15T22:44:58.652285", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4228170327, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.4675410506649, 9.608915484257661, 28.930472240897114])", "action": "('move', [10.4675410506649, 9.608915484257661, 28.930472240897114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.4675410506649, 9.608915484257661, 28.930472240897114])", "action": "('move', [10.4675410506649, 9.608915484257661, 28.930472240897114])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI90lEQVR4nO3dT4hVdR/H8e+9d9TR0VFrEZFgkNAqHlskYe3CTQURtKmdIZRE2KqlQlBYUCvLCKJdLTLITX8ggijCnbYKBInAKCgpRifHmnvvsziX0Wf684w609zT5/XicDlzZhjOwH3P73fPOfeeznA4LCBDd7V3APjnCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCL7lhsPV3gPaRPAt1+ms9h7QJoJvp2ZgP3u2Pv20Ll0yzrNEgm+n4bAGg3rzzbrvvtq/vy5eHG2EvyX4FhoOq9Op06fryJGqqvXrq9NRO0sh+BbqdKrTqcOH66ef6tZb65lnav36Ggy8nuf/EnzbNCP5Z5/V229XVe3bVzt21Px89Xqru1+0guDbZjCoqnrllfr997rjjnryySrH6lmqidXeAa5St1tVdfRobdtWd95ZN95Y/b7hnSXqDB3saZd+v6oUzrUxwrfKYHA59X6/Op3RgA9L4+nSEs1L99On6+GH6513RuWrnavkGdMGzYn3qnrrrXr//TpwoM6eHW2HqyH4NmiCP3WqXn21Op3at6+2bbv8XwCWTPBt0EzdX3ihZmfrttvqiSeq2x1N8uFqCH7sNfP2Tz6p996rXq+eeqq2b3cqjmvjtFwbDAZ1zz114kTt2lUfflibNzs+z7XxpBlv8/NVVUeO1IkTNTlZBw7UDTdUldq5Np43Y2w4HIX9+efV7da999Zjj5nMcz1M6cfbYFDdbvX79cYb9Z//1O7doy1wTQQ/9gzpLB9jxVhq/gtfulQzM6Pa+33n4bh+gh9LTfAnT9bdd9dzz9XsbPV6LrPh+gl+LHU6NT9fhw/X11/XsWP1yy9VLqRlGQh+/DTXzH7wQR0/XuvW1dNP1y23VL/vWB3Xz9tjx89wWBcv1qFDVVW7d9cjj/i8OpaLQWPMNCP566/XV1/V1FQdOFBbtzoVx3LxNBonTdjffluvvVbDYe3ZUw88UPPzNWEixvIQ/Dhppu4vvVRnztSmTXXoUE1MGNtZRoaOsTEc1sREzc1Vr1fT07V3b+3cefnqWlgOrrQbJwsX1X38ce3cWTfdtNo7xL+N4MfMYFDDoWtpWSGmi2Njbq6+/LK63er1qt93mQ0rQfBj4/jxevDB2ru3zp2rXk/wrAQH7cbAYFBzc3XwYP38c509W5OTPqCSFWKEX23NufeXX67Tp2tqqp59tqamRjeZgOUm+FXVvOP1m2/q6NGqqoceqj17ajBwpQ0rRPCrqjnN/uKL9cMPtXlzHTxYw6FX76wcwa+e5qbuX3xRx47VcFj799ftt1e5USQryHn4VdIcluv369FH6913a/v2Onmytmzx0p0VZYRfVb/9VnfdVTt21KFDtXWr2llpRvgxcOZM3XxzbdjgbBwrTfCrzbtf+QcJfgw074o1trPyBA9BHLSDIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIO558uf+/tP6F77r/hG0S+tvRPFXu79o+0KW+iRZ+0b44bD6/ep0qtut+uuAlxL2cFiDwf88NisXL9bMTM3M1Pnzo6VZX9gyM1Ozs/Xdd3X//fX8824PR2u073na6Syua35+tPz+++X1K7c0AS+0euHC4pIXLf3+knZjOKzt26uqBoMV+Uth2bUp+OZmyt9/Xx99VL/+WufP1+xsXbgwelxYZmcvb5+bu4rf37wg73ZrzZrRlwtj/h9fODRbzp1bpr8N/hFtCr7fr4mJOnWqHn98ST/fpHvlcbUm4KbhP2rC/uNw3evVhg2Ll6mpWru2du2qqpqYcGd32qFNwTdFbdlSW7fW+fPV6VS//+fDb6Npe5F162rjxtq4sTZtqqmpy+uLtjTLunW1du3ocWFl4cs1a2pysqpGRxNg/LUp+MbatTU5WRcuVLdbGzfW9PQo182ba9Om0TI9PfrWlSvNmNzr1cTE4seFFfh3a99pubm5+vHHmpys6enqdkcz9oXl+jVThoWJw5W/80/XzeRpkfYFf7WW/vdJl3+99k3pr5aMYYHDTRBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkvyLCI3UhEgKRAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.4675410506649, 9.608915484257661, 28.930472240897114])", "action": "('move', [10.4675410506649, 9.608915484257661, 28.930472240897114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "fe663e4ec487cc280910290874eea8845ffb2ad636c479f1c0447be7ea252381"} +{"episode": 5906, "episode_seed": 736679933, "split": "train", "timestamp": "2025-09-15T22:44:59.660684", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 736679933, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7140625725281814, -1.1968718944221244, -59.15005780350128])", "action": "('move', [0.7140625725281814, -1.1968718944221244, -59.15005780350128])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7140625725281814, -1.1968718944221244, -59.15005780350128])", "action": "('move', [0.7140625725281814, -1.1968718944221244, -59.15005780350128])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7140625725281814, -1.1968718944221244, -59.15005780350128])", "action": "('move', [0.7140625725281814, -1.1968718944221244, -59.15005780350128])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKY0lEQVR4nO3dT2gWdx7H8c9vnifGRG2aKDGmYqoVRAoFFQKloLSXlNJWL7oKa5HdHnqQpbaFvfbQUikLNtDtobCwXUFJadW20u3frUiLtQdzUIyFNsZi0n/JFjUm5s/Mbw8zGnVdD4s26XzeL3KI8YkZGN/5zjzzm+cJMUYB8JBM9wYA+PUQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPK4X43RvAW4bgsf1YtTEBNmXU4jsWFwlRoVQfJ5lSpgI5cL+xJQ0VQjasUPPPKOzZ5UkzPmyYcKjkKZKEnV368EHdf68Wlr07LN67jlNTqpane6Nwy3ChEchP5jfvVvDw0oS/fijFi6c7m3CrcavbkhSmqpS0bff6uBBZZkktbdr0ybFyHgvFSY8CiHo4EF9842SREmiLVtUW6s0ne7Nwi3FOTyKZ+MHB/XYYzp6VJJaWtTTo4aG6d4y3GpMeBS++EJffaVKRTFq2zY1NPAUfQkRvLsYlSQaG9PrryvLFKNqa/XUU9ReTgQPZZmOH9f776umRmmqbdt0110KYWoFDkqD4N2FoCTRK69IKsb71q2qVIrn6lEyBA/19emdd5QkmpxUR4dWrZruDcJtQ/DW8qtur76q4eHiAH7LFtXXF6vuUD7sVV/503VDQ9q3TyEoTXX//XrooWvun0HJELyv/FaZN97Qd98pBFWrWr9ezc2anGS8lxY71lS+2ObcOb39ttJUWaa2Nm3ZohhVqUz3xuG2IXhT+Vn6Bx+ou7uY5x0dWrKEs/eSY986ysf46Kj27dPoqGLU3Lnavr04q0eJsXsd5cfz3d06cKBYS9vRoZUrCb782L2O8nU1XV0aH5ekEPT008UnKDfulrOT7/DTp9Xerl9+UYx64AEdPkztFpjwdvJF8m+9paGh4nh+xw6FwN0yFpjwjkZGtGKFBgYUo+69V599pgULeI1aC+xhL/ktMXv3Tr0o7ZNPav58rsa5YCfbSVO99lqxlnbZMj38MGfvRgjeSL5m9t131dOjGBWjHn9cK1Yw3o3wiqQu8ltiYtTu3RodVQhqbNSmTVN/BQf8YneRvxD1l1/q8GFJilHr1qm9XWnKC1EbIXgLV2Z4V5eGhhSC6uv1xBPFZTn4IHgLWaZKRT09eu+9ovyVK7Vhg7KM8e6F4C2EoCzTRx+pt7eY6tu3T/c2YTqw8Kb8rrzPxNq1OnVKkhYv1tdfq65uurcMvzomfPnlx/CHDqmnZ2q819Vx9u6I4MsvX2PT2akkUZapqal4l0gYIviSyxfYHDmizz8vgt+6VW1tvM+EKYIvvxC0a5ckxai6Om3eXMz82yvG4p2rMJNwTabMskwh6NQpffihkkRpqvXrdd99t+3GuDQtjigk1dRwCDEDMeHLLA++s1MjI5JUV6cNG1RfX3z9/5H3fOXjuhleqahaVU2Namo0NqbeXp07V3wXZgYmfGnli236+vTJJ0Weq1bp0UeLr9/A1Vnmn//3YcB1vyfyP+br+IaHdeCAjh9Xf7/6+3XxooaGtHOnNm5k+e7MwW4orTRVTY26utTbW9z6vnGj5szRxESsqUq6nG6WFYf4V+d9XdhZpvFxTU5qcFB9ferr05kzGhjQkSPauVOPPCJJw8PatUvHjl3zjWfOSEz4GYTgyymfqYOD2r+/eNGLe9omf/+7GMdiJakoXDXir6Qeo0ZGNDKi0VFduKDxcS1frnnzJKmnR5s3q69Pw8PX/6Tu7iL4efO0Zo0uXVJrq5Ys0d13q6VF69ZJYrzPHOyJ0gpBH3+so0cVghTjhj9WFyxSKlV0efFdfih+8qSOHdMPP+jsWQ0MqL9f33+v06dVqejTT4ti587ViROSNHu2GhvV2KimJjU1ac4crV5d/Lz6enV23nj5Hs/ezRgEX0L5+0xcGNabXVkiKST19frTHfv114Hkp5/1809qaNCLLxa3zuzdqxdeuMG/smiRLl6UpCzTokV66SXNn6+FC9XcXHzMnXvN40NQXV1xgpAXnl/rp/aZhLX0JZTP7xPdE6tWh8lQVdTW6p5/zPqDRsaKR+TvO1OtKgTt2aPnn1dzs9ra1NqqxYvV2qqmJjU2atky3Xnn/3x9jDTV5KSq1annAPP/SxQ+gxF8GcUYQxgfnTi57S9/f/PS3yp/PpSuXaNu3TEvLL1bbW1aulQvv6xZsyRpZETnz6u2VrNn3+x+mokJ6dqhzfT+DSL4ksrH8j/36V+H/71ibeM9TWH5MjW3qFpRktws1Pzqeu7mj8RvEMGXWZy6+Hbzx13+P0DeZUfwpVYsdA1F9/Rsj+ABI6ylB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wF7pIVGUgzJUAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG20lEQVR4nO3b704bVx7H4d/YhIKTBUy3QLX81ar32qvo695Ab6XvssFANglVF9GyKA3MzL5wSB3CKl21Day/z6MjZMkaeyzNhzlnPG76vi8gw+C+dwD4dAQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQTPn6jvq+/veyeYsXDfO8CcmLY9O5qmFhaqae57z5gheP5n05P2bNtVNRzW4K754sVFjUZ3P8WnJ3g+YnZOPn08rffDU/eLFzfjeffPk/7Vj4Mffmiuruqbb2o8fnvO5341vTVWqg9Lbprf1OTr13V0VJNJHR/X8XFNJnVyUufn9fPPN+O876p/d4Xo+Li2twX/IDjDR3g38X73YDB4b5p9K8W2revrats6P6/JpJ49q8PDOnzWHz5tD4+any6Gv/xSb97U1VW9eXPnGzZVv77iNHgeAsHPp66rrnub92DwXy+evX5dl5d1edlf/rs//2lwclKTSU2OanJYh//oDo+as7PZzZqPHTB9VX32WbO8XKNRjUb1+HH/+efN4uIf+dH4PUzpI/R9nZ3djH+1Z2eDFy+bk5N6/rxOTur5cXd81F11w9nTclUNBjUcVlVdt9V3t16yq6qVlcF4XGtrtb5ea+PaWG93dupvu8Pt7ZqOJ08+1SfktxH8fHr6tL7/vk5ftC9fNqc/Dk5P62b0p6ddVXPrFozhsBYWqqqu22qv73jBzY1+c6vZ2qrNzdraqo2/dpsb/Rdbg42NZmOjNjfr0aM7tmrb6vsaDq3eHwpT+nkzvTb27bf19dd1cfFhZ001w4Vh1U2NU21bbVtV/aOm3T8Y7OwNtrdrZ6d2d+vLL2s8rtXVWlur1dVaWZku/m9/z3Z19fatZ8d0gsDDIfj5tLJSFxd1552UTVXX1WBQ6+t1cFB7e7W/X3t7dXBQu7vN6l+GS6NaWqrl5Xp/7f3r/47r6+q6223feYbnoRH8fPrqq1pcrNGoFhdrebmePO72ttv9vy/sHzTTwvf3azy+826Z9yYF0yt/b5+4+dJuwVHzf8safj69elXffVcHBzWdmS8tfXyTDw8EC+/5I/gIbVt1E/DsX9IIfj71fbXte2tsKMFDFD9igiCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/AdDjNOLBqy7EAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d52116eb86ad00af324c6144556838321faeb879bdec1df32f73f14fe3b21c52"} +{"episode": 5907, "episode_seed": 5713995, "split": "train", "timestamp": "2025-09-15T22:45:00.311022", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 5713995, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.173985173910417, -6.285855675089408, 38.807380586026134])", "action": "('move', [-6.173985173910417, -6.285855675089408, 38.807380586026134])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.173985173910417, -6.285855675089408, 38.807380586026134])", "action": "('move', [-6.173985173910417, -6.285855675089408, 38.807380586026134])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.173985173910417, -6.285855675089408, 38.807380586026134])", "action": "('move', [-6.173985173910417, -6.285855675089408, 38.807380586026134])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZElEQVR4nO3d32vV9QPH8dfn/NhYsxTmFMsL535IdDYrmdu8KRAjmBSFF0HQT7qopKv+AKHroot2G/QDhSVi3XRRgyBtbrlYLBttayaGG27ZCMytcz6fz/fifDpnm9bXIjfPeT0fDNHzeW98dD7P+/15f87RII5jAfCQWu8TALB2CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvBrIY4VRYrj9T4P2Ati/hqulThWGCqVUhAoCNb7bGCJGX4tzMzom28UhspkkuBL4jj5ANZAZr1PoMoVCspkdPKkjhzRpk1qbVVPj7q61NmpjRslrY4/isrzP6sA/OdY0t9a+byyWT39tI4eLT+YzaqmRrmcenrU06MHH1RDg+rrVVNTHhNFCkMFAZcA+C8R/C1UWqs/9JBOnSo/nk4nk3lJW5u6urR3r3I5bdumrVu1aVP5aKGgKFIqlXwA/xrB30JxrCBQPq+BAZ0+relpTU1pakpXrpTHZLOSlM+XH9m+XbmcOjq0a5daW9XSom3bykfDMPmyq/YCgJtB8Gvq0iWdP6/paX3/vb79VqOjmpkpH70+/s2btWOHdu7Url26/37t3q3m5hVfcPl3j/7xfxH8WiiuyYtb9CULC5qf18yMRkc1NKShIU1NrfisIFjR84YN2rxZjY267z51d6u7Wx0dN4i8dB3BlT+uR/Brp3QHLo6VTq+osVDQtWuan9fwsL76SoODmpzU4qIWF2/8pTIZ1dZq40Y98ID27VNPj9rbVV+vuroVw0rr/+IlAEDw66P4p1788YYpLixoeFjDwxoa0k8/aX5ec3MKw/KAVGrFtl9trfbs0d696u5WW5saG9XYqNra8oDilUI6TfnWCP52ser7sHz+X1pKLvjHxvTjj8kuwB9/lAfU1CgMVzwd5HLavVsdHWptVXOzmpp05523+DeASkDwt6nS4j+Kks28oijSxISmpjQ5qXPn9N13GhvT778nR4NA2ezq+Jua1NystjY1Nam3V/fem9zkgyGCrwDF7Itvv8lmy5N/HGt2VrOzunBBIyPJJcDCQvkT0+nVb9rp69MrryQvB4Ihgq8wy994l1n5wuirV3X1qi5c0OCgBgd15oxmZ5XPl2f7O+5Qf796e5MX/MIQwVew0rL/rzbhp6c1OKihIY2M6OJF3XOPjh5VU5PCUOn0mp8ubgMEXz1K38kb3n6/eFFzc+roUCaTPEfAEMFXs+V3/lnDQwTvo3jTns15cwQPGOEJHzBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEPw/FMeK4/U+CeBfIvibFscqFBQECoLkl0ClIfibU0w9k9G1a/rsM/X1qVBY73MC/rHMep9AhchktLSkgQG9/776+xXHam3VI48ojpMJH6gEBP/Xiov2IFChoE8+0Ycf6uOPFUWS1N2tmprkKFA5gphr0VVKnRd/HkUKAu3fry++kKTOTr36qg4c0N13r+M5Av8OM/wyxdk7lZKkfF4//KBcLnnkpZe0uKjDh/Xoo2poSAan2AFBhWGGlyRFkcJQ2awk/fqrvvxSb7yhqSl9/bVaWpI5PwyVySSDJWpHJWKGl+JYqZRSKc3NaWBAfX06dSo59PnnamlRFCmdTmovDgYqk33wxW32K1d0/LiOHUsu1CUdPKinntLBg5KUTpfHs0uHSmYZfOleWnFD7vJlvfyyTpxIjj7xhJ55RgcOqL5+Hc8RuBXMgi8WXpqlUykVCrrrrmQOf+wxvfaaurq0YYMk5fPKZJjSUU1sNu2iSFGUXIf/8ouOHdP4uN55R5KCQOPjWlhQZ2cyIAyVSpE6qo9B8MXXwBd34M+f16ef6u23NTkpSadPa9++Fa+WW34THqg61b6kL8aczWp6Wh99pA8+0LlzklRfr8cfT54FtKxzUkdVq9LgS8uWINDcnPr6dOKExsYkqbZWzz+vQ4e0f395DOChupb0xTerl+6Th6HSac3M6OGHNTGhujo9+6xeeEF79iiV4vUzMFRFwS/faZuY0NKS2tuT5t98U2fP6sgRtbYmhRcKSqeZ2+GmKoIPQ8VxssE+Pq7+fr31lhoadOaMtmxZPXjVnTnASeVfw8dxchd9ZETHj+vdd3X5siTV1WlmRlu2JPt2pW051vAwVvnBB4HOntV77+nkSf38syRt3arnntOhQ2pvTwaInTlAquwlffH6fHRUvb26dEmSGht1+LCefDJ5WyuAlSp5hi8uznfsUC6n337T66/rxRe1fbskRVF5qQ/gT5U8w+vPf4ViclLptHbuXPEggOtUePCr8E9KAn+rKmbC0n8OQe3A36rka/gSOgduTlXM8ABuDsEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPI//WKfRdq18EcAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "10cc8aa041f774244d75a6451dbbdae652dc7dedfd87ea724fea17d56eb25ef1"} +{"episode": 5908, "episode_seed": 2943242223, "split": "train", "timestamp": "2025-09-15T22:45:00.945058", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2943242223, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-214.05061637236926, -55.09226488443854, -2.400802177272984])", "action": "('move', [-214.05061637236926, -55.09226488443854, -2.400802177272984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-214.05061637236926, -55.09226488443854, -2.400802177272984])", "action": "('move', [-214.05061637236926, -55.09226488443854, -2.400802177272984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-214.05061637236926, -55.09226488443854, -2.400802177272984])", "action": "('move', [-214.05061637236926, -55.09226488443854, -2.400802177272984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "f0c5f4247ad24d01abe28e614089a99b9c7285d533ff03e6cfd0fdce315031f0"} +{"episode": 5909, "episode_seed": 2293988745, "split": "train", "timestamp": "2025-09-15T22:45:01.574176", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2293988745, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.74085369937885, 0.3144196283676682, 13.393429255087776])", "action": "('move', [-2.74085369937885, 0.3144196283676682, 13.393429255087776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.74085369937885, 0.3144196283676682, 13.393429255087776])", "action": "('move', [-2.74085369937885, 0.3144196283676682, 13.393429255087776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.74085369937885, 0.3144196283676682, 13.393429255087776])", "action": "('move', [-2.74085369937885, 0.3144196283676682, 13.393429255087776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "84456fc9f35c83873871b48da5c16482522317c111bb428ab140f9bab51310f8"} +{"episode": 5910, "episode_seed": 3581559757, "split": "train", "timestamp": "2025-09-15T22:45:02.566331", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3581559757, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.229882219653678, -9.041895338967587, 41.5849702738322])", "action": "('move', [6.229882219653678, -9.041895338967587, 41.5849702738322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.229882219653678, -9.041895338967587, 41.5849702738322])", "action": "('move', [6.229882219653678, -9.041895338967587, 41.5849702738322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.229882219653678, -9.041895338967587, 41.5849702738322])", "action": "('move', [6.229882219653678, -9.041895338967587, 41.5849702738322])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "ca15f6fced6e420d623b3bf949f23f385c748ecc0925c74d4bd6ea39cf2e75dd"} +{"episode": 5911, "episode_seed": 1242715688, "split": "train", "timestamp": "2025-09-15T22:45:03.208121", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1242715688, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.239461527557951, 1.7031839980625672, 5.360482216748589])", "action": "('move', [7.239461527557951, 1.7031839980625672, 5.360482216748589])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.239461527557951, 1.7031839980625672, 5.360482216748589])", "action": "('move', [7.239461527557951, 1.7031839980625672, 5.360482216748589])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.239461527557951, 1.7031839980625672, 5.360482216748589])", "action": "('move', [7.239461527557951, 1.7031839980625672, 5.360482216748589])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "66364603220a1c8abe54f9d35209cda5ec69c22ead13f53f3bb3ef948289bf51"} +{"episode": 5912, "episode_seed": 1318409860, "split": "train", "timestamp": "2025-09-15T22:45:03.859392", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1318409860, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.8809548262341433, -3.8348127738339026, 3.1421538838536662])", "action": "('move', [-2.8809548262341433, -3.8348127738339026, 3.1421538838536662])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.8809548262341433, -3.8348127738339026, 3.1421538838536662])", "action": "('move', [-2.8809548262341433, -3.8348127738339026, 3.1421538838536662])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.8809548262341433, -3.8348127738339026, 3.1421538838536662])", "action": "('move', [-2.8809548262341433, -3.8348127738339026, 3.1421538838536662])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIwElEQVR4nO3c36tlZR3H8e9ae+9zDupoMxh6IUxhYT+oC+3K2zEnxBQsLwQnHBONrGTEMaGbaSDM/FHqRTqWidmF6Ewjig6ZF42TECFiitjokGkXIiiIiDn77LW62IOCOJk65+w5fV6vv+DhcN7reZ71PHs1fd8XkKGd9QCA5SN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCL4/6bvq+9nPQg4dAR/UF1XTVNNU10366HAISL499f31bb1zDP1yivVtrW4OOsBwaEg+PfXNLVvX61bV+ee2//92X44rMVFy3tWPMG/13Tf/tJLtWFDvfxy7d5dZ53VP/RQPxwKnhVP8O+jaerNN+vZZ6uqRnPN3ufa885rrruua9uqkj0rmODfq2mqqk46qfY8Wl85pRvvr+GwXn+9rtzcfnvj5K23qmlqMpE9K5Lg31/T1Be+WH94uN2woRYX+7atwbBuv6P92vpu73M1GGieFUnwB9V1tXp13XlnXf2TfmG+W1ysublm96Pt+tPrgQdqOKyu0zwrTNP7nz246d+maWrnju6yy+rFf7XT1/ULC7V1a795c1NVfVeNxyYrhOA/2OJiDYf11N/6S7/XPPpoDQYH5vYLL+h+flN79Krqumo1z0rg//SDDYc1HteXvtzs3FkXXVSTSVXVaFS339GccUb/zDPVtpb3rAyC/5+MRrW4WGvW1LZtdc1Pu/n5bjyuhfnmz3uar57W3beza1uXcFkBLOk/hHe39L/vNm1qX/hnPz/XvL2/mpr87Jrmsk3taFSTSQ0Gsx4oHITgP7Tpjv3pp+vSS7vdu5vBsOkm1ffdxo3t1Vf3xx3XTPf8cBgS/EcxncZfe62uvGLy6980Ve1oVONxnXpq3XxznXyyeZ7DlD38RzG9eLNmTd2ybXD9tTU/34/HNT9fjz1WZ55ZO3YcqN2zlMONGf6je+cH87t21SUXdy++1M7N1f79NRrV1q11xRU1HJrqObwI/mN55zXevn21cWNNT+mn53Ybzu+vva457rgaj2s0mu0w4QBL+o9lOsP3fZ14Yj344Lun9INB/fau5uyvd0883k+P9DxXORwI/hCYnsAfeWTddlvdeGMddWQ/mdTcXP3lr81ZZ3fb7+2nL+01z8xZ0h8y08t2g0E98khddOHkhRfb0agZj+uII/rNm2vLlqbKJVxmTPCHUt9X19VgUC/8o7/gW92f9gymt26r6pvnTLb9arB69buv+mD5mW4OpaapwaD6rj716WbXw4NLLummYQ+Hde+Owbp19eSTBy7eu4TLTAj+0Gva6vtaWKhbbmlvuqlf/YlucbGfm6snnqjTT6+77z5wUKd5lp8l/VKZfgyzbeuRP3bfvbTZu7eZ3sYbDuuqH3ZbftwOBtX31vYsK8Evob6vyaSGw3ru+frB92vXrmrbqr66vj/n7O7W2wbHflLzLCtL+iXUNDX9Qs5nP1P33FObNlXX9V1fo1Gz4772tHXd448fOMb31GV5CH7JTb9+d9RRdcMNdesv+6NXTcbjmp9vnnyqXb++fndX3zRVzYEbO7CkBL8c2rb6vvquLv5Ou2N7+/nPdW+/XXPz9eqrdf6G+tFVk3+/VdMtPSwpe/hlNf0tzfPP1+WX1/3394NB0/XVd903zqlf3NiecIItPUtL8Mtt2vwbb9TWLd11N/RVg9GoxuP+lFOa7dtr7VrNs4Qs6ZfbYFDdpFatqmuvb2/bVkcd0Y3HVdUcf3wde6xVPUvLDD8b01s3bVt79tTGjbWwUHv21DHHzHpY/L8T/CxNf0uzd2/Nz9fatbMeDQEEP2N27Cwne/gZc/GG5eRzyrNnhmfZmOEhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8Ajy8RJp5wH80AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1bff4198fde09c0d52e1c6d796bff024cce980bfe4d78cc4e83a564a1a2b4054"} +{"episode": 5913, "episode_seed": 2478869055, "split": "train", "timestamp": "2025-09-15T22:45:04.854477", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2478869055, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8949381964308487, 0.16995182699507902, -3.8763017998581213])", "action": "('move', [-0.8949381964308487, 0.16995182699507902, -3.8763017998581213])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGf0lEQVR4nO3avY5cZx3A4f/srC0TYYKlYCmViTAfRihxky4NDZA0uYjcQTrEDdABBZcRRYrkihtIRwEURHGIDVKIbMkUKRx2Zg7F+AM7tqOgmF359zxarea858zonOJ3Pt6Z1bIsAzQcHPcOAP8/gocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CDkxwS/LLMtx7wQ84w6PewfuWq0eHrnX/xdXAf+TExD8djvr9bz//ty6Na++OufOzXo985hTwLLcGXcWgK9utRz7jfTR0Zw6NW++Oe+9N889NxcuzOXL88or8/LLc/HinDt3/xRwz2432+2sVrNaPbwKeLzjDn5/xd7t5q235sqVuXnz4f352c/n3XeXM9+YWebWv+bmzXnxxfnWN+9/wG7mUUfwhMN63KqHxg8P5+DETHHA1+K4g99blrlxYz74YPnw6nx4da5fW338t7l+ba5dn5/8eP70l9kdzcGp+f3v5je/nR9+fy5+b156aS58d370g7l0eWaZcYcPX+4EPMPPzGo158/P+fOr117bzWx3s/37p9t/fLK9+vHm7Le3N2b7+cH29Gz+8NHm6ue7q3/ezB+3c2Zz+vz2p7/Y/vry5rNlu6y229luZ7OZzWZ2u9ls7izeG9+/uLfNdntns0duc/v2vP32XLp0f9IAngEn4wo/M7vdLMuvfrl7552Zw8Pd4Wo5NcvpWW7P7rNZdrOsZvnnjeXo38vqcDlYL8vsjo6W9anlhReW7Z3pvGXZf8wDf18c2Q9+qStX5o03BM8z5WRc4Wf2j8uf3Fz/9aOZWWb2j+b7e/W703IH35nVzDKzmZmZ9cxu5tOntUebzdP6ZDguJyb4mbnf2OrRz+S7R96MrGZmtZqDgwf+P7T4lQb3E/9nzz6tw4TjcrKCf/31OXPmzvT4wcGs13NwcGfx8HDW69V+ZL3eLz7w+r8XH3zX/bUPDT5yg3uvn39+xvf9PFtOzDM88PSdrCv8fuZ87n4l/oQJsydceL+ut+x/1wPPEld4CPFTMggRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5C/gM95SoOm5azigAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8949381964308487, 0.16995182699507902, -3.8763017998581213])", "action": "('move', [-0.8949381964308487, 0.16995182699507902, -3.8763017998581213])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGMUlEQVR4nO3Zv25kZx2A4d94bI89Xm8S/kRCUAQJpcoKUIoUuZsUlFxHLiM9BRdBCi6AHokiNIFk10Os3eCZFDbGa3ZXWYrYyfs8Oj76Zo7Gc6Z4vznzncVutxugYe+uTwD47ggeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHk3gS/281ud9cnAT9w+3f79v9tfLG4+fxiZnZXf7cOAf+3xe7uv1cvZpbz5z/NP/45H3wwb/1olgfXye9mdtvZbWcWc7P7m5PArQnB/AAvc5fB73bz989m7+Lr/fXB8ncf7f/xD8vjw/2f/2z52/eWv340v3lvfvXL+fEb85NfzCy/5T/cbq/2c6P8y8Gth5cDswMpdxn8s2fzzjtzcDAP35iTv/7ldPO3B3P+YJ48mMen8/hkHp/OVyePHp3+/qOTnx6vVrvV8uJw9/TwaHF4crBaHxyuZrWaw8M5PLwa7N2bFQm4n+44+IcP5+nTyxOZ5y/Z/zO4eO4Vy/nXevbWbx6t3zxcnyzW61mv5/h4LgfX2/Hx1faK8dHRrNezf8eLGPCduuPgV6vrR9urJbrZzVX+u72ZxWIx+/uLxWy3s93NbjG77cz2Nd5lb29Wq9vb0dEcHMy7784nn8x269KAirv8glsu5+OP54svZrOZs7O9s7N58mTOzubs7PKZOTubf1/MfH3zRZeTwmv88t5u5/x8zs9fcOjLL2fG3UBC7sMq/czz6203B+fncz0RXE8HT57MZjOPP9tsNovHFyebG4eePZuLi6ttu33B/ubH/fDD+fTTubiY5bdaE4TvvfvyE3axeHF1p6fz9tsve9GDFz57OUdcXiNc768vGS7Hm818/vm8//7VW0PEffmGf4VXneBubh10pw1e4XsQ/Ou6/kC3Bv/7cG/PKj0tP8DggZdxPwpCBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyDdDtgqhbv00tQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8949381964308487, 0.16995182699507902, -3.8763017998581213])", "action": "('move', [-0.8949381964308487, 0.16995182699507902, -3.8763017998581213])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGSklEQVR4nO3a0W4U5xmA4W/XWIArYVQRAwLsRq0Ucd57yDXkRnInuZvcQA973ijByBDFbuAgMgrsenuA41YFlFaqsknf59FqtJqd3Z09eOf/Z2cWm81mgIbltncA+OUIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyJaD32y2+/3Qcm27X79YzHo9M7OYmcXl8u164H9um8FvNvPjj3Pjxn+68b9xUID/1mKzvVn1mzfz+PHsXtsc/XFxePP7w9//8Ic/3zl8vHd0OHfvzu61We78TNUXF3NxcbnN1dKBAD5km8G/fj17e5dT+pnNzGZmsVwulsu5vrt+eG999Kfdw6PF0dEcHs7R0dy/P3t7c+PG3Lgx16/P7u77P3a9nvX6svzFYpZLhwC4tM3g3zuf39mZxeJy6H7X/v48ejQPHsyDB/Pw4Tx6NPfuzf7+7O/PrVtz69bs78/Ozi+w7/CbtM3g1+v5/PN5/nzOzub0dL77bk5P582bzeUfd/9id3eWy9lsZvVmc/HP/b3cbLGYu3fn4GAODubu3bl3b+7cmYOD+eijOTiYTz6Z27dnszHOw1aDv/Ly5eXjxYt5+XJOT+fZszk5mZOTzcnTi2ff7pydvfOendlZzHIxM7Navf/y3t7e3L8/X3wxn346q9Vc2/IVCdi+LUewWs3Ozty+Pbdvv+el8/PFq/Pl+at59WrOzubJ314f/+Xb47++OP569fTvv3uyuv/D3Hp3OnDl/HxOTy/PGgzvML+GEX6zuRyfr5Yf/qdtM7Oe1xer1awvFqunz79/sXgyj558PcfHc3w8T57MN9/My5fz+vWsVvPq1Tx8OF9+OR9/PBcXs3RXIXnbD/5Drvbr7ZPF4qc7c37OajVPn87JyXz11azX89lnc/Omc3iY+TUH//M2V4ufVmxmxkgOH/RbDv7D3p4mvP1lrtLBlf/P4IH3Mv2FEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwEPIPakntkVXAFd8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAF9klEQVR4nO3ZQY9Vdx2A4d+90wmLTg3pwo7FEI20qUJTp9Gm2yb9MN33a/Qz9BtJQDE1kQAxyEK6KE1clLnc42JGEIqKUblM3ufJyVmdk/vbvOd/zv+ulmUZoGG96wGAl0fwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CXtvtzz98OOv1rFanZ+D/arUsy65nOLXdzrLManV6AP9zu1zhN5v57LN59915//25fHkuXnz+Zf/4RPIggP/GLlf4hw/n3LlZrebgYF5/fc7/YPuLny9Hv9r74IM5OprDw3nteY+jR49m/l6+dwH4j+w++O9br2e9nh/9cPPLD9dHH66Pjua99+b8+Tk4mIODp67cbmezmb292dt7OSPD2bbL4I+P56OP5u6f5+v7y8yTlXpvb1ar2WyeuvjixblyZa5cmcuX5+KPt28drt86nDfffNkzw5m24027u3fn5s25+cfl1q25fWd169bcvrW9//Uyc7pkr1azvz/LMsfHj29aZrY//cn6Z5dW77wzb7+9fPrp6uOPTzf8gH/hFdqlX5a5d2/u3Vvu3V3u/Gl948Z89dX8/nfLN98+6Xi9nr29ebSd7aMnN37++XzxxRwfz/7+DsaGM2TH/8Nvt6f/xs3M/v5cuDAXLqzm16uZ2WzmwTfz4MH85f7cuDHXr8+1q9vfXl++/etT3+ur1Vy6tJPZ4ex5tVb4x8fJvt0zjh/Od9/N7Ttz9epcuzbXf7P5w829c+dWX345n3wym83zd/WBx16h4J9xMtfJ+fvxn9hs5vbtOTycN97wDQ//3qsb/D/zeN6TFwHgxZ294J9hYYcXd+aXSLXDizvzwQMvTvAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hPwNKc3FbNU6VZgAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d5e2bab76017a637176af7df6afab64a27dc1ac69c9f1e9bb8cfe26f661cce00"} +{"episode": 5914, "episode_seed": 3838038952, "split": "train", "timestamp": "2025-09-15T22:45:05.497703", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3838038952, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5099078384015674, 5.324573091950506, -10.849485637928106])", "action": "('move', [2.5099078384015674, 5.324573091950506, -10.849485637928106])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5099078384015674, 5.324573091950506, -10.849485637928106])", "action": "('move', [2.5099078384015674, 5.324573091950506, -10.849485637928106])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALbklEQVR4nO3daYiV1QPH8d9zlxk3+gsutJDWuFIUpYXRvLEiBKVQyRWKyMqlkkBok4gKCSRfiWkuLeaSUjK5DFGUadKUkRSEvYiGYiAqLZewcWbuvef/4nmmf4Vjo9O/O8/z+37eOfPmyMx3znnOOffeKIQgAB5y1R4AgH8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvC9XqWiSqXag0BGRCGEao8BwL+kUO0BoAshKIp09Kg2blT//po3TwV+WOgplvS9VbzyWrdOS5Zo+XKdOPG/LwLni+B7q/i5/brr1Levmpv12WfUjp4j+N4qn1cIuv563XijokibNyuKFEXVHhbSjeB7qyhSqaSBA1VfrxD09ts6flxiVY8eIfheLIoUgiZN0sCB+ukn7dwpETx6hGO5Xuz3H83TT2vkSE2bpv79qzogpB7Bp0qpxOEceoLg0yD+GbFjhx7jGT4N4v35Tz/Vjh06fVriSR7nifVhrxdfudu3T7NnKwQ1NOiGG1Qus7bHeWCG7/XilfzIkTp5Uj/+qP37JWZ4nCeCT4lLLtHs2crltHevTpxQsUjzOA8EnwZx29Onq1LRRx/pyy8l8ZpZnAeCT4M4+GuvVV2dTp7UgQMKQbkckzzOFcGnQdz20KGaOlVRpLfe0q+/ckqH80DwKRFvy0+cqBDU1KQvvqj2gJBKBJ8SuZwkjR+v+noNGaJvvpG4ioNzxk27lIhP4yU1NWnQII0eXe0BIZUIPp1KJUWR8vlqjwMpQ/BpU6kky3vg3PGrkyrxadzx41qzRnPn6siR5ItA9xB8qsRtNzfr0Ue1dav27JGkcrm6g0KKEHyqxAfy48ZpzBhFkXbtYnrHOSH4tIkLnzlTIejQIX39tQoFJnl0E8GnTbxjN2OGamvV0qJ335W4V4/uIvh0Gj5cN92kcln796utTYUCa3t0B8GnUwiaO1eSmpr01VeKIiZ5dAfBp1B8627iRA0YoJYWvf++xDVbdAtvk5RaQ4dqwQIdPqxRoyRxGwfdwU27NDt2TP/5T3JWxwyPbiD49OOyLbqNX5Q0+/2P9S+/sEuP7iD41KpUFEVqadGiRRo2TIcOKQSyx9kRfJrFhX/wgU6d0pYtyYdPAl0j+NTK5VQqadgw3XyzJO3erbY2tu5wdgSfZvGUPnmy+vVTc7P27uUGDs6O4NMsn08+QP6yy1Qqads2iVfL4mwIPs3iGb5Y1OTJkvTxxzpyRMUikzy6QvApF5/Az5mjQkEtLWpslJjk0SWCT7l4l27cOI0dq1On1NSUfJHtepwJN+0yIQS9+aZaWnTrrbrySvbq0RWCB4ywpM+QSoXtOpwdMzxghBkeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjASKaCD0GVSrUHAfRi2Qk+BEnK5RSCyuXknwD+KDvBR5GiSMuWadMm5fNM9cAZFKo9gH9GCDpxQo8/rjVrNGSI6upUX69KRbns/EED/gFZCKJSURRp2zatWaNiUUeOaOZMHT6sXI55HviTLAQfT+OzZun229XRoZoaff+9Zs/WDz/QPPAnUcjE7lYIiiL9/LMmT9bBgyoW1dGhW25RQ4MGDEi+CyALM7ykKFKlokGDtHmz6urU0aF8Xu+9p4UL1dqqSoVNe0DKTPBSsnofOVLbt+viixWCamq0aZOefTbZtKd5IDvBS8rlVC5r/Hi9+KL69lWppJoaPf+8Vq9WPi+J5uEuI8/wf1QqqVDQ2rVasCB5dC8WtXWrpk1TuZyUD3jK1AwfKxQUgu6/X08+mRzFt7Xprrt04IDyeZXL1R4fUD0ZnOFj8c78ffdp/fpk0/7SS/XOOxo7lgs58JXl4EPQb79p1iw1NqpQUKmka65RQ4OGD6d5mMrsb3389D5ggF55RRMmJBt4n3+uBx7QsWPJMR7gJrPBq3PTfsgQbdmi0aPV3q4+fbRnjx57LLmNm9HFDdClLAcvJbt0dXV69VUNHqzTp1Usau1aPfMMwcNRZp/h/yh+Yt+5U3PmqLVVkkLQqlVatCg5wwNMWASvzk371av10EPJP/N5vf66pk9nAw9GXH7To0ilkhYu1COPJEfxpZLuvVf79iWP+oADlxlene94V6lo/ny9/HJyOD9ihHbs0NVXs7aHBaPg1fkw396uO+7Qrl3q21etraqvT15vw9oemecVvDqbP3pUU6bo4EHV1Ki9XVOnassW9ekjiVfOI8vsZrT4bW0HD9amTbr8crW3q1BQQ4MWL+ZdrpF9dsFLyQn8qFF67TUNHZo8va9fr6eeUj7P4TyyzDF4dW7a19dr5UrV1qpcVrGoZcv0wguKIjbtkVmmwUsqFNTRoZkztXx5spgPQUuWaPt25fPq6Kj2+ID/A9/gJRUKKpe1eLGWLlW5rNpanT6thx/Whx+qWFSpVO3xAf80u136v4j/91GkefP00kvJpv0VV6ihQaNG8Xa3yBr34NXZfGurZsxQY2NyIWfCBO3Zo0GDaB6ZYr2kj8UfStevnzZs0IQJyUdZfPKJ7r5b7e28qA6ZQvCJclkXXqh16zRihNrbVVur3bu1aFHyXZpHNhB8It6Zv+oqrV2rgQPV1qZCQRs2aOlSSXz+NDKCZ/g/iS/hvPGG7rxTpVJy8W7lyuSV8/k8z/NIN4L/q/iy/apVevBBFYsql3XBBdq4UbfdxqtrkHoEfwbxPP/EE3ruueQTrC66SLt2afz4ao8M6BmCP7P47t38+dqwITmoq6tTY6PGjOGgDinGCrVL+bxWrNCUKck12+Zm7d0rsWOPNGOG71L8QXTffqupU/Xdd1qxQvfcU+0xAT1D8GcTN3/woI4d06RJLOaRegT/N36PnE+eRQbwvo1/I355fAi8xSWygBkeMMIuPWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+S+tDCdUh0kbFgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5099078384015674, 5.324573091950506, -10.849485637928106])", "action": "('move', [2.5099078384015674, 5.324573091950506, -10.849485637928106])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "1aa2dcf837d126ccdd1f15a488c4f75c0001b8399cfee98ae69fbd71b7713ec6"} +{"episode": 5915, "episode_seed": 1143271157, "split": "train", "timestamp": "2025-09-15T22:45:06.131149", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1143271157, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.060285237524255, -8.933316673444924, 18.314297046371934])", "action": "('move', [-8.060285237524255, -8.933316673444924, 18.314297046371934])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKGElEQVR4nO3dT6hcZ8HH8d/cP01KY/XG2pKg3hBIEK1KJbpQ0GJF6EYQa+vCgrWKBkNt6z8QrIKIGzXQYAuKFqPxFhWpUjQFNxWxWxd2U6EYsbbZpJJCw03mj4uZNrYNr9b3fb2d+X0+DCGZzIQDN995nnPOc84MJpNJgA5LW70BwH+P4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4OfPZLLVW8DcEvycGY8zHmue/9DKVm8AL8J4nKVnPqInkwwGW7o1zCEj/NyY1v7EE/nYx/LwwxkMjPO8aIKfD+NxBoM88khuuCHf+14+/OE8/ngGg4zHW71lzBXBz4Hp7H1zM1//en7721x8cf7wh1x/fZ56KktLmudFEPwcmM7et23Lrbdm//6cOZPV1fzud7nhhjz1lHGeF0Hw82E6kr/5zfnhD7NrV86dy/Jyfv3rfOITOXMmk4nm+bcIfm4sL2c4zNvelnvvzdpaxuOsrGRjI5/73OxwvWN4/EuCnycrKxkO88535gc/yOpqhsOsrOSuu/KVr2RpyVk6/rXBxLgwb0ajLC/n2LHceOP5s/Hf/GZuu+05J+rhhQQ/l6ad3313Pv3pJBkOs7SU7343N92U4TDLy0Z7LsxwMK8mkxw8mDvuyGiU1dVMJrnlltx3X1ZWMhpt9cbxUmWEn1fTI/OTST7/+Rw+nNXVjEa57LL85Cd517tmC3WM8zyP4OfYZJLJJJub+eQnc/RolpczGmXXrtx/f97yFvvzXIDg59t0Z/7MmXzoQ/nlL2eH8ffsyQMPZP9+zfN8gp9706qffDLvf38efDAXXZSzZ3PllXnggezerXmew/+FuTddhLe2lh/9KFddlbNns7qaP/4x112Xkycttuc5BL8IlpYyGuXVr86992bfvpw7l5WVPPRQPvKRnDqVRPPMCH5BTI/Y7d+fn/0sr3lNhsNcdFGOH88tt2Rz0wU2zAh+cUybf9ObsrGRV7xiNrc/dixf+EKSLC1ZbI/gF8u0+Xe8Iz/+cbZvn11Ud+RIvvzl2Qs0X07wi2Z5OZNJrr0299yTSy7JZJKlpXz1qzl8OINBRiPNV3NabgFNF+QsLeWuu3L77edX2n7nO7npptm1N3Qywi+g6aLa4TAHD+aLX8xwOHt+uth+edmNrnsZ4RfWZDKbwH/2s7nzzlnnL3tZfv7zXHONcb6U4BfZdOHtaJSPfjRHj2Z1NefO5bLL8qtf5a1v1XwjwS+4afNnz+b66/OLX8wW3q6v5/jxvO51Ft7W8dNecNM73l50Ue65J1dfPTs5f+JErrsujz46W6JHD8Evvukyu7W1HDuWAwdmC28ffjg33pi//nV26p4Sgq8wHcl3785Pf5o3vCHDYbZty+9/n4MH8+STs+N5NBB8i+ldrvfsycZGXvvabG5m27bcf39uvTWbmxbethB8kZWVjMd54xuzsZG1tWxuZmUlR4/mM58xwrcQfJfpSP72t+fYsezcObvd7be/nTvumJ3AY7EJvtF4nGuvzZ13ZseOJFldzde+lm98w8784nMevtFkkuEwq6s5ciS33ZbJZLYC5+67c/PNs515d7xdSEb4RoPB7HaXhw7lS1/KeJzRKKNRDh3KxkbGY+P8wjLC93p2JL/99hw+nG3bsrmZ9fU8+GDW1y3CW0x+pL2e/aaKb30rN9+czc1ccUWOHMn6+uzqWhbPylZvAFtsOs4fOZLt2/O+9+W97519aw0LyZSeJOcn8C6hW2yCJ3nmm+oGAzP5BSd4Zp79qnkWmM9zZtTeQPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZBGDn0y2egvgJWplqzfgf2cymT3++ffLy1le3uotg5eiuQp+2vPSM7OS0SiJtuHfN5i8ZCfAz47b018Hg/Op/7PTp/PEE7PHyZN57LGMRjl4MHv3Zjy+8Fug1VaP8M9+3AwGz/+r6TP//PzJkzl9Ovv2zUre2Mj3v5+///38YzicvfLd7xY8vNBWB//Czqf+9rf86U85cSJ//nNOnMijj+bxx3P6dNbX89BDs5Ifeyy/+c35tywvZ20t+/Zl9+5cccX/9I9Dq60O/sSJnDqVv/wljzySq67Ke94zi/lTn8p9913g9Tt25NSp7NyZJFdfnY9/POvr2bMn6+vZuzevelWWl8+P6nbv4bm2NPhz5/L61+fpp2d//OAHc801s+B37craWnbvzo4defnLc/nlWV/P7t3Zty8XX5wkk0kOHMiBA1u4+TB3tjT48ThPP51LL82uXXnlK3PllbOTakkOHcoHPpC9e3P55bnkkgu8dzA4f0LuhXv7wIVs6VH68TjHj+fSS7NzZ9bWsraW7dsv8LLhMONxBoPZw0Qd/lMv1dNy4/Fsbj+NHPi/sNXBD4fnJ+Tahv9nWx088F9kXQoUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU+Qd9LYXrogP5EAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.060285237524255, -8.933316673444924, 18.314297046371934])", "action": "('move', [-8.060285237524255, -8.933316673444924, 18.314297046371934])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJm0lEQVR4nO3c76vedR3H8dd1rrPIGq5NO+KgTg5GEN0JRjdEQcx+yEAMWyDdS2ZKeSMdBpHUYjcmZXfqRmBkGCQhK/FGSCZUN1b9ARG1FCdpzXLJjFk751xXN87lOacc4Y47u856PR5cjO0632t87zyvz+f7/l7nGozH4wAdZqZ9AsCFI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIvj1GI+nfQawLoJfj8EgS0sZjaZ9HnCOBH/ORqMsLWU4zMxMFhas9lxMZqd9AheZ0SgzM/nmN/OPf+S22zI3l9Eo43FmvHNyMRiMrVBv2NJSZmZy7FiuvTYvvpirr85tt+XTn1790WAw7VOE/8nC9EatLOOHD+fFF/O2t+Xo0ezfnxtuyJNPZjic1O79k81M8OdmMMgHP5i5uZw+PXnmqady88259dYcOzY5YDQyz2OTsqU/N+NxBoOcOJGDB/Poo/nb31YX9ksuyYED2b8/73pXkiwsZHbWJp/NRfDr95vf5IEH8vjj+de/smVLFhczHufd786992bfvtV53nA47ROF1wh+PcbjLC1ldjZJHnssDz6Yn/wkSd7ylpw5kyTXXJM77sinPpVkcg8PNgPBr9/SUpIMhzl1Ko8/nsOH89vfJsmWLVlYyHCYD384X/hCrrsueW2YZ4fPdAn+TVm71P/1r3noodx/f06eTJKZmYxG2bYte/fm0KFcdVWSyTDPTXumRfDnwXi8etPuT3/KwYM5ciR//3sGg8nCvnVr7rknd96ZK65IzPOYHsGfN8sD/GW//nUOH84TT0zmeQsLSXLVVfniF/Pxj+eyy8zzmA7Bn3/LH79N8uijefDBPPlksmaed/31+cxn8slPJsni4uonduACEPyGWFnAX345R47ka1/L73+frJnn7d2bAwdy7bWT49fuDmDjCH6jjMdZXMyWLUnywgv53vdy+HBeeSV5bZ63Y0duuilf+Urm5yfHxxifDSb4jbV2LP/cc/nyl3PkSF55ZdJ8kh07cs89uf32XH55YpPPBhP8hbB2x370aA4dylNP5cyZzM5mcTFJdu/Ol76Um27KO95hnscGEvwFtTLPe+SRfPvb+eUvk6yO8T/60dxxR26+OXHrjo0h+AttZZN/8mR++MM88ECefjozM5mdzZkzGQ5zyy25665cc01imMf5JvgpWDvPe/bZPPxw7r8/p09PFv/RKJdfnk98Ivfdl507J8fHPI/zQfBTs/Za/emnJ79v+89/rs7z5uZy4EBuvz3btiXmeZwPgp+ylav6JD//eQ4dyi9+MVn/ly/s3/veHDyYj30s27b5KD5vluA3hbWfxn/ooXznOzl6NFkzz7vxxtx1V268cXKwdZ71EfwmsrLJf+mlfP/7+da3JvO84XAytN+3L5//fPbs8T25rJPgN53Fxcnv2/7xj3n44Xz963n11czOZmkp43F+8IPcemsWFiYzPzgngt+Mlr8Gczn73/0uX/1qfvSjnDmTvXvz4x9PRnd29ayD4DevtfO8n/403/hG7r47H/mI78xi/QS/2RnRcR6Z/Gx2K1+DvXwND2+GFR6KWOGhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyP9j8OPxtM8ANqnZaZ/AmzMeTx5r/z4cZjic9pnBZnRRBb/c88xru5KlpSTahjduMN60G+CVdXv5z8FgNfW1Tp3KX/4yeZw4keefz9JS7rwzu3ZlNDr7S6DVtFf4lbebweC/f7T8zNrnT5zIqVPZvXtS8iOP5Lvfzcsvrz4WFydHXn+94OH1ph386ztf9sILOXYsx4/n2Wdz/HieeSZ//nNOncr8fH71q0nJzz+fn/1s9SXDYbZvz+7d2bkzV1zxv/5zaDXt4I8fz8mTee65/OEP+cAHcsMNk5g/+9k89thZjt+6NSdPZseOJLnuuuzfn/n5vOc9mZ/Prl155zszHK6u6i7v4T9NNfiFhbzvfTl9evLPffvyoQ9Ngr/yymzfnp07s3Vrtm3L3Fzm57NzZ3bvziWXJMl4nD17smfPFE8fLjpTDX40yunTufTSXHllLrss73//5KZaks99Lrfckl27MjeXt7/9LK8dDFZvyL3+ah84m6lO6UejPPFELr00O3Zk+/Zs3563vvUshy0uZjTKYDB52KjDem3W23Kj0WRvvxw5cD5MO/jFxdUNubZhg007eOAC8rkUKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJvSw1r6ya3Xk0AAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJm0lEQVR4nO3c76vedR3H8dd1rrPIGq5NO+KgTg5GEN0JRjdEQcx+yEAMWyDdS2ZKeSMdBpHUYjcmZXfqRmBkGCQhK/FGSCZUN1b9ARG1FCdpzXLJjFk751xXN87lOacc4Y47u856PR5cjO0632t87zyvz+f7/l7nGozH4wAdZqZ9AsCFI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIvj1GI+nfQawLoJfj8EgS0sZjaZ9HnCOBH/ORqMsLWU4zMxMFhas9lxMZqd9AheZ0SgzM/nmN/OPf+S22zI3l9Eo43FmvHNyMRiMrVBv2NJSZmZy7FiuvTYvvpirr85tt+XTn1790WAw7VOE/8nC9EatLOOHD+fFF/O2t+Xo0ezfnxtuyJNPZjic1O79k81M8OdmMMgHP5i5uZw+PXnmqady88259dYcOzY5YDQyz2OTsqU/N+NxBoOcOJGDB/Poo/nb31YX9ksuyYED2b8/73pXkiwsZHbWJp/NRfDr95vf5IEH8vjj+de/smVLFhczHufd786992bfvtV53nA47ROF1wh+PcbjLC1ldjZJHnssDz6Yn/wkSd7ylpw5kyTXXJM77sinPpVkcg8PNgPBr9/SUpIMhzl1Ko8/nsOH89vfJsmWLVlYyHCYD384X/hCrrsueW2YZ4fPdAn+TVm71P/1r3noodx/f06eTJKZmYxG2bYte/fm0KFcdVWSyTDPTXumRfDnwXi8etPuT3/KwYM5ciR//3sGg8nCvnVr7rknd96ZK65IzPOYHsGfN8sD/GW//nUOH84TT0zmeQsLSXLVVfniF/Pxj+eyy8zzmA7Bn3/LH79N8uijefDBPPlksmaed/31+cxn8slPJsni4uonduACEPyGWFnAX345R47ka1/L73+frJnn7d2bAwdy7bWT49fuDmDjCH6jjMdZXMyWLUnywgv53vdy+HBeeSV5bZ63Y0duuilf+Urm5yfHxxifDSb4jbV2LP/cc/nyl3PkSF55ZdJ8kh07cs89uf32XH55YpPPBhP8hbB2x370aA4dylNP5cyZzM5mcTFJdu/Ol76Um27KO95hnscGEvwFtTLPe+SRfPvb+eUvk6yO8T/60dxxR26+OXHrjo0h+AttZZN/8mR++MM88ECefjozM5mdzZkzGQ5zyy25665cc01imMf5JvgpWDvPe/bZPPxw7r8/p09PFv/RKJdfnk98Ivfdl507J8fHPI/zQfBTs/Za/emnJ79v+89/rs7z5uZy4EBuvz3btiXmeZwPgp+ylav6JD//eQ4dyi9+MVn/ly/s3/veHDyYj30s27b5KD5vluA3hbWfxn/ooXznOzl6NFkzz7vxxtx1V268cXKwdZ71EfwmsrLJf+mlfP/7+da3JvO84XAytN+3L5//fPbs8T25rJPgN53Fxcnv2/7xj3n44Xz963n11czOZmkp43F+8IPcemsWFiYzPzgngt+Mlr8Gczn73/0uX/1qfvSjnDmTvXvz4x9PRnd29ayD4DevtfO8n/403/hG7r47H/mI78xi/QS/2RnRcR6Z/Gx2K1+DvXwND2+GFR6KWOGhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyP9j8OPxtM8ANqnZaZ/AmzMeTx5r/z4cZjic9pnBZnRRBb/c88xru5KlpSTahjduMN60G+CVdXv5z8FgNfW1Tp3KX/4yeZw4keefz9JS7rwzu3ZlNDr7S6DVtFf4lbebweC/f7T8zNrnT5zIqVPZvXtS8iOP5Lvfzcsvrz4WFydHXn+94OH1ph386ztf9sILOXYsx4/n2Wdz/HieeSZ//nNOncr8fH71q0nJzz+fn/1s9SXDYbZvz+7d2bkzV1zxv/5zaDXt4I8fz8mTee65/OEP+cAHcsMNk5g/+9k89thZjt+6NSdPZseOJLnuuuzfn/n5vOc9mZ/Prl155zszHK6u6i7v4T9NNfiFhbzvfTl9evLPffvyoQ9Ngr/yymzfnp07s3Vrtm3L3Fzm57NzZ3bvziWXJMl4nD17smfPFE8fLjpTDX40yunTufTSXHllLrss73//5KZaks99Lrfckl27MjeXt7/9LK8dDFZvyL3+ah84m6lO6UejPPFELr00O3Zk+/Zs3563vvUshy0uZjTKYDB52KjDem3W23Kj0WRvvxw5cD5MO/jFxdUNubZhg007eOAC8rkUKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJvSw1r6ya3Xk0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.060285237524255, -8.933316673444924, 18.314297046371934])", "action": "('move', [-8.060285237524255, -8.933316673444924, 18.314297046371934])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIx0lEQVR4nO3dy29V5R7H4d/uxXCp1KJyqZFKaY1SMLYhjI06cG4cOnRgcO6fcP4Lp06dmGiiTh1xUcRgQWhBLgVFIASBtnufwd6npbWox8OxbL7Pk5Wm3V17ZXXw6fuud+1kNVqtVgEZetb7BIB/juAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhSN96n8D/pNWqZrNarWo0ljfgQRqtVmu9z+GhWVysxcXq6alGo/MVuF93Bz87W59+WmNjNTxczz1XQ0Mrfjs/X1XL/QPdOqVvT+M//7wOHaqq2r27du+uPXtqdLTGx2tsrMbHa9OmFfs3m8tzfoM/mbo1+Haxx45VX181m3X2bJ09W199VVW1cWNt21Y7dtTOnTUxUfv21f79NTFRvb1rHOf++Y3/Ajz2unhK32rVW2/Vl1921u0eZOPGGhiogYEaH6+pqZqcrKmp2rWr+vvXKHxxsapMBHhsdXHwVXX3bk1P15EjdexYHT5c587VrVt161bdvfvAt7Sv5595pl59taamamqq9u6toaF68skaGFixZ7NZCwuWAHmsdHfwq8zP1/Hjne3kybp8uebmam6us3rX1tNTPT21uLhiUvD887V/f73ySk1M1K5dtX177dhRg4MrDn7vXmfkb8evf7pR1wffPv1Wq1qt1VfpN27U9HSdPl2nTtXMTP34Y505Uz/9tGKfJ56oqrp3b8WLY2M1NlYvvlijo7VnT2c5cMOG5R2azeUlQPHTRbo++Pu1s1+6pO/vX/HbK1fq4sW6eLFmZurEiTpxor77rn75ZXmH3t7O4N9sLr+4aVMND3du+738ck1M1N699dJL/8jfAw/bYxX8Ku3y21/7+lbcim8268aNun69rl6t48fr2LE6erS++aZu3fqTY27eXIODNThYe/bU1FRnIWDXLoM83eFxDv5+7cG/vTUaa9yim5+vO3fq9Ok6cqSOHq3Dh2tmpm7frt9+W7EEsEpfX/X311NP1bvv1r/+5eM9POq69T78f2vVlfbSlX9Vp9L+/urvr8nJmpzs7HPnTn37bWf7/vu6cqWuXq2ff66FheXjLC5Wo1GXLtW1awZ5ukBK8Ks86Db70nSn1aoNG+rgwTp4sPPKr7/WyZP1ww81PV0zM53t0qXO+H/ggODpAilT+r9h6RKgvYa3agnw8uU6f77Onavz5+vw4frww9q3r3O9AI8swf9Vf7AEeO/e2p/bg0eN4P+OP10ChEeT4B8CM3m6hftID4Ha6RaChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCPY/AerQEP0OVPj1164NP93/f2evgTrKmrgm/3vPQYx8XFqtI2/HWP8LPllsbt+s/T23rWugC5ebMuX+5sc3N14UItLtb779foaDWba78FUq33CL/07+b3z2drv3L/63NzdfNmjY93Sv744/roo7p+fXlbWOjs+frrgoffW+/gH/QcxosX69Spmp2tmZmana0zZ+rSpbp5s0ZG6uuvOyVfuFBffLH8lt7eGhqq8fEaHq7t2//o4JBqvYOfna1r1+rcuZqersnJevPNTsyHDtUnn6yx/8BAXbtWW7dWVb32Wr33Xo2M1Asv1MhIjY7Ws89Wb+/yqO7yHlZa1+Dn52vv3rp9u/PjO+/UG290gt+5s4aGani4BgZqcLC2bauRkRoervHx2rixqqrVqgMH6sCBdTx96DrrGnyzWbdv15YttXNnPf107dvXualWVR98UG+/XaOjtW1bbd68xnsbjeUbcr+/2gfWsq6r9M1mffZZbdlSW7fW0FANDdWGDWvstrBQzWY1Gp3NRB3+rkf1tlyz2ZnbtyMHHob1Dn5hYXlCrm34P1vv4IF/kM+lQBDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5B/A8b58JiGqqrkAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "33408763b19619fa055186f40c107a357e635fcda05688ea53e9b0db7b7d0bdb"} +{"episode": 5916, "episode_seed": 3099007292, "split": "train", "timestamp": "2025-09-15T22:45:06.770217", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3099007292, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.26579153395883, -11.6852222630189, 42.59634473052438])", "action": "('move', [20.26579153395883, -11.6852222630189, 42.59634473052438])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI/ElEQVR4nO3dPWhd9R/H8e+9N4m12Da1aRPdulQnBQddnRxEcBAUF3ETdXZxEKWbiHOLg6sKUlAEobNThy7iIp0EsWlDbaKmD7k5Duc08eGP/Om9yT3t5/WaTm+H81ve+f7Ow00GTdMUkGE46wUA+0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEGRu1gv4H7a2anu7O15YmOlS4P4yaJpm1msA9kmPJnz7k2cwqLNn65tvqqqOHatPP62mqcFgtkuD+0SPgh8Majyu0ah++KG+/rqqajSqs2ft6mFq+nXTrr10P3my5uZqYaGOHKnV1ao7wx+YUL+Cbx0+XFtbdft23bxZly/PejVwH+lp8MNhNU2Nx13wJjxMRb+Cb2/OLS7WQw9VVW1tCR6mqY/BHzlShw9X1e6EB6aiX8G3Fhe74JvGhIdp6lfw/5jwVfXLLzNcDtxv+hV8a3GxDh3qjk14mKJ+BT8c1nhcCwu7E/769e5zzcPk+hV8VY3HVbUb/M2btblZo9EMVwT3j94F31pa6g42N+vKlSq7epiG3gXf3rc7dqz7540bdfVqleBhGnoXfOv48Zqbq6ra3OyCBybXu+CHw6qqpaV68MGqvwRvwsPkehd8ayf4mzcFD1PTu+B3ruHb4JtG8DA1vQu+dfx4HTjQHbuGh2npXfCDQW1v19Gj3YSvql9/7T4HJtTH4MfjGgzq4MHuk42N2t6uuTm7ephU74KvO8N8592b9fXa2KjBQPAwqT4G31pZ6Q6uX+929cCE+hv88nJ3sLHRfYXGhIcJ9TH4dku/vNx9Z2Z9vQsemFAfg2+trHTB72zpTXiYUB+D35nw7ev0t28LHqajv8GfOFGjUfdqvS09TEUfg2+11/DtVL92rcq7NzCxPga/86ssDxzogl9bq6rd/oG708fg687l+s6TubW12toy4WFSPQ2+9dfgf/99pkuB+0Kvg9952W5trf74o8qNephMr4N/5JHuYCd4YBK9Dn5nwl+9aksPU9Dr4NsJPxrV+nptblbZ0sNkeh18e9OufRr322+zXg3c+3od/M41fN15FO/JHEyi18E//HDVnW18+1clBQ+T6HXwCwt14kT31+ZWV6sED5PpdfCjUS0v1/Z2VdXly135wF3rafDtJJ+frxMnuk9WV+v27So36mECPQ2+1U741upq3bo109XAvW9u1gv4L3NztbJSw2ENBnX1am1tzXpBcI/rdfBVtbTUXcP/+GPduDHr1cA9rr/BN00NBnXqVD32WC0t1fx8zc/Pek1wjxs0/b4JtrFRV67UysruH6IB7lrfg98xHne/xBa4a/3d0reaptvbD3v9PAHuDffMhAcmZ25CEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHDTDVNNU1V1a1b+3A2wcPstKkPBvXee3XuXFXV1taenlDwMFPjcZ05U6dP1/p61Z0fAXtG8DAjTVODQZ0/X2++WVW1vb0P55zbh3MAf9OmPhhUVT3xRD33XF27Vi++WFU1Gu3pmQfNHm8hgL/Z3q7h33fW6+u1uVnLy/twclt62EfjcQ2Hdf16ffhhXbzYfXL4cC0v7/XVe8uEh/3Szva1tXrrrfrii3rmmfr221pcrO3t3R3+HnMND/uiaWo4rJ9/rtdfr/Pnq6qefLJ7CD/cv422LT3svXaGX7pUL79c58/XaFTvvltnztTRo/u8EFt62GPtTv777+u11+rixXrggfrgg3rnne5/93G8ly097K229gsX6tVX69KlOniwPv643nhj9x27/SV42DPjcZf05cv100916FB98km98krVDFJv2dLD3mhne/uOTVV99lnNz9dLL+3nPfl/EzzsgbbzCxfqqadqNKrxuHuFbudgRtylh6lqmm6Gnz1bL7xQp09X03TNz7r2EjxM2WBQw2F99FG9/XatrtaXX3ZfgxuNZl57CR6mqWlqPO6euo3H9fTT9dVXdeTI/rw2+/8QPExJe91++nS9/35V1bPP1rlzdfLk7n27HhA8TNWpU3XgQD3/fH3+eT366O6TuX5wlx6m7bvv6vHH69ixPtyl+wfBw1TtfN3939977wHBw7TN9NWa/yZ4CNK7LQewdwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4EXF3S+KpGvWMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.26579153395883, -11.6852222630189, 42.59634473052438])", "action": "('move', [20.26579153395883, -11.6852222630189, 42.59634473052438])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.26579153395883, -11.6852222630189, 42.59634473052438])", "action": "('move', [20.26579153395883, -11.6852222630189, 42.59634473052438])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG3UlEQVR4nO3cv6vd9R3H8ff3+z3n3ouIi2RzcXLV5YJbqVOhQ6+QKkmwSS0pkpJSlxR0DS0OYopSqEFESRuskLRLS80foLOOknZwdAlZ7r3ne76fDid0LuSecy68Ho/xnOHzXZ58fn3P6VprBWTot/0AwOYIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHravtQ0NJHjYstaq6zY0luBhm8axuq7+fKv98x9VVcvleocTPGzNYlGzWd37op2/UP/+T1XVNK13RMHDdoxjzef12e3plZ9WVbe3t4lBBQ+b1lpNU81m9dFHdfFS9+Bh13Vrn9tXBA8btTqQ7/u6caPeeKMOj7r5rFqb+m4TxQseNmeaquuq6+r69XrzzRrHGoY6PGqvv9698mrfWs1m630AwcOGtFZ9X+NY165Nb789VVXX1TjW1avdzZvdE0/U6pO1EjxswmpuPzysq1end96pvu+rarmst96qGzeqNnUbv+YFBFA1TdX39fBhXbnSPv20m8+7xaK6ar//XV37bbf6djPv3gge1mu5rGGo77+vy5frzp3a3e2Ojmpn3t59t135VT8uathghYKHNRrHms3qu+/q0qV27163t9cdHtaTT7YP3q/Xfvao9o29V1tVXdvYa/sQZlX7t9/WhQvtq6+63d06Oqqnn66bH7afHHTL5eZW8v8jeFiLVe1ff13nztU339R8XotFPfNMffxxvfTSo1395gkeTt5q3/7ll3X+fN2/X7NZjWN77rn65JNuf39rtZdrOThxq9q/+Nf08svt/v2az2sc6/nnu88/7/b3a7WS3xaHdnBiWqvWahjq73en1y62Bw/6nZ06Pq4XX6xbt+rZZx+t87dI8HAyVrX3ff3l1nTxYjseh52dOj5uP/xBu/1Zf+ZMLZdbrr0s6eGkdF31fX34p+nchXY8DvN5HR+3H/9ouvO3/syZmqYahm0/ouDh8a3m9nGs996ry7+svh+GoRaL9urZ6fZfh6eeejTznwZO6eFxrXbmd+/WwUH1fVVX07L94ufTH94f9vZOUe1lhofHNww1TbW/X2fP1jTVtGy/+XX74I/D7u7pqr3M8HCCDg/r4KBeeKGuX6+qU1d7CR5Oyur3ratL+Nrsn0///wQPQU7ZggNYJ8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8CIS0xj52a/uUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f01ab982cd9d57ceca6223f8cd32a98a58297f116cbb770d3ef1735d4cb94281"} +{"episode": 5917, "episode_seed": 3345298140, "split": "train", "timestamp": "2025-09-15T22:45:07.808866", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3345298140, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8217661834998458, 0.7775494322483297, 16.223599570515194])", "action": "('move', [-1.8217661834998458, 0.7775494322483297, 16.223599570515194])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ/ElEQVR4nO3dTYhdZ+HH8d+dyZgQN6YNpW1MUqQmEkymWUuroAtDQYSgXShCUfFt46LqsiguRMhCu6oIlbgQartSF0VwI4qtpWmTklhLYtKmlqQNTVsNyszc+1/c+5+82DZt3mYmv8+HyzBkDpczge85z/Occ+4MRqNRgA5TS70DwLUjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieChyPQY/Gl34DZDkOgx+YSGDQZKcPj35Bvh/11fw8/OZns5//pMf/CCf+EQOHlzqHYLl5ToKfmEhq1bl+PHce2/uvz/PPJOHHkoM7OGsVUu9A1fIaJTp6fzpT/n2t/Pkk0lyzz35yleSGNjDouvlDD8Y5Gc/y+7defLJvO99+f7384tfZOvWpd4tWF5W+Bl+NMpgkDNn8r3v5cEHMzeXjRvz05/ms59NkoWFTE8v8R7CcrJigx+NMj+fwSDT0zl0KI8+mrm5fPzjefDBbN06mberHc43GK3ENa3xPo8n5+PT+C9/mT//OXv2ZO3ayWkf+B8rMPjhMFNTGY3y0EP5wheyevV5hasd3t5KW7RbWMjUVE6ezBe/mC9/Od/5TpKMRpMRvtrhHa2cOfxwOJmxP/54vvnNPPVUkrz00uSEn2TVyvldYImskDP8aJSpqQwG2bs3u3blqaeydm3uvz+//vWkduBdWAlnxfFA/bXX8qMf5cc/TpLNm7NnT3bvXuo9gxVm2S/ajefn//1vvvSlPPJIktx5Z37yk+zcOZnPm7TDu7aMx8PnHommprJhQ5J84xt59NHs3Jm5uUxPqx3ek+V6hl9cils0P5/f/z6f+lRmZtxCB5dm+Z3hR6PJWP3Uqdx7b/buzWiU4TCrVmXXrszMZDhUO1yaZXaGHw4nz73t25evfz1PPJH167NvXz74wclRIJ5+g0u3nM7wizfA792bu+/OE09kZiZf+1rWrDl7WU7tcBmWzWW58bW3+fncd18eeCDz89mwIXv25J57lnrP4PqxPIIf1374cL71rTz2WJLceWceeCCzs669wRW01EP64TALCxkOk+SHP8xjj2UwyFe/mt/+Vu1wxS2PRbvxRbgXX8zu3fn853PffWf/Ebhyljr4l1/Oa69l27ZJ3v/+d97/fg+9wVWypMEPh/nYxzI3l4cfzm23TS7IuakGrpolXbQbDvOXvyTJX/+aD30oc3OZmlI7XD1LOkmen8/GjfnVr/KZz2RhITMzRvJwVS3pkH5hIc89l23blmwHoMxSL9oB19BSX/dyuIFraKmDN2mHa2ipgweuIcFDEcFDEcFDEcFDEcFDEcFflvGn5sNK4U67yzUaZW4ug8Hkozo8ws9yJvjL8r/P8i4sTB7nX3zB8rE8PtNuBRpX/bvf5ec/z5Ytuf32bNmSj3wkt976FlueyyGAJST4SzGufTTKH/6Q3/wmSaamsm5d1q3LDTfk9tuzY0d27MjsbG699a0LX5z8j3/qKMC1YUh/KcbBv/lm7r47f/zjW2wwGGT16qxenXXrMjub2dnccUdmZ3PjjVmzJqtXX7i9iQDXhuAvxWLw3/1uHn88r7+eU6fy+usXbjYeBZzrllsyO5vt27NjR7ZsyQ03TMYF5y71XbAKqH+uIMFfAUeO5Lnn8re/5e9/z4sv5vjxvPRSXn31vG1mZpJkfv68Q8Att2Tr1slr8+Zs3JgNGy5cBRh/ivc4e5/ZzWUS/GWZn8/U1IWX4o4dywsv5NixHD2a55+fvM7tfzDIzMzkTH6um2/Opk3ZtCmbN09WAT/84WzceN4248n/Yvb65z0R/OUaFzj+K5ij0YUfzDc/n1dfzalTOXkyzz+fAwfy7LM5cCCnTp33JtPTk3c41/r1Wb8+N96Y227L9u3Zvj0f/Wg2bboWvxTXK8FfYePsx4eAwSCrzr8MMhzmzJmcOZNXXsn+/Xn66TzzTPbvz+nTmZvL/Pzbvu1gkLVrs2ZNPvCBbNuWnTsnC4E335yZmcl8AS5K8FfX4uW3xb9/+5bbHD2ap5/O/v3Zty9HjuT06bzxRt544+L37d50U+64I9u355OfzK5dV37/uc4I/lpb/P9+h+n3sWM5dCgHD+bQoRw/nn/+My+/nFdeOW+b6elMTZ1dBfzc5/Lww/48Fxfhxptr7R3uwxm/pqayeXM2b86nPz356Qsv5OjRHDky+Xr4cA4fzokTWVg4+w533fW2bw6LnOGXo/EC3vjrqlXnnbSHw5w8mRMncuJE/vGPPPtsDh7MgQN55JHcdZe/ysdFCH65O/cqQHLh+txwmH/9K2++mZtusnTHxQl+hVkc+SeexuU9E/zK9m6WAGGRRbuVTee8J0aEUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUOT/ADvrhdHtp5m5AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8217661834998458, 0.7775494322483297, 16.223599570515194])", "action": "('move', [-1.8217661834998458, 0.7775494322483297, 16.223599570515194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8217661834998458, 0.7775494322483297, 16.223599570515194])", "action": "('move', [-1.8217661834998458, 0.7775494322483297, 16.223599570515194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "d362245b453e986c02b4ad7ba3eb229df4813c344dcddc09c6ed6b600f6ba947"} +{"episode": 5918, "episode_seed": 815781568, "split": "train", "timestamp": "2025-09-15T22:45:08.452760", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 815781568, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.19934807977683, -12.867288264573224, -49.04482679117646])", "action": "('move', [18.19934807977683, -12.867288264573224, -49.04482679117646])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.19934807977683, -12.867288264573224, -49.04482679117646])", "action": "('move', [18.19934807977683, -12.867288264573224, -49.04482679117646])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.19934807977683, -12.867288264573224, -49.04482679117646])", "action": "('move', [18.19934807977683, -12.867288264573224, -49.04482679117646])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHMUlEQVR4nO3dwW4bVRvH4XfsJE3aJB8p1GkQEixYIHEb3A0SF8e9cAFIqEmTFApSQlrHnm8x01YsYlsscE//z7OazOpI9k/v8cw47vq+LyDDZNsLAP47gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggm9b3297BTRF8E3q+7q/r+Wyum7bS6EpXW9GtGx49WTPhna2vQD+jV9/rZ9/rqurur6uH3+s77+v5bImtmusI/jG9H11Xf3yS/3003jihx86wbMhwTfp22/r4KC6rubz7uZm26uhHYJvzPBxfTYbL9otFnV5WVXGOxvxNmnS4WEdP1kMV+wEz+a8TZrUdXX2fLlcVlVdXdV8XuWePBsQfJMmkzr7ajocX13V3d12l0MzBN+krquzL8fX7vKy3rzZ7nJohuBb9fz5eGDCsznBt2oIvuvq8nIM3md41hJ8q87Oqqp2d+vmxoRnU4JvzzDJh+CH2/KvX29xObRE8K06nfVV4yb+/LzKV2jYgOBb9fig9nbu7++rqi4uqgTPBgTfqt29evZFt1hUvZvwsJbgW7W3351+OT57c3HhEj0bEXyrHu3VbDZu4s/P+2HUw2qCb9XeXp2ejscvXywWCyOe9QTfnuHi3O5uzWbjnxcv+uGLNLCa4Js0/N+bYcJPp3X5+/TtW9foWU/wTRrm+RB819ViObm6qvJ0LesIvklD2CcnH864M8cmBN+k4WP80VFNJjU8eyN4NiH4hj15UsfH47QfHraD1QTfpGHCHx7W55+PZ0x4NiH4hh0e1tOn4/H5C9frWE/wDfvHhP/tvlylZx3BN+n9lv79hH9x7j486wm+SV1Xy2VNpx+Cf/3XtHxDlnUE36rh2zLvt/Rv590ff1TX2dWziuBbNT57c7ysWlbVfD5eqBc8Kwi+VcPu/eSk76qvqvm8Xr7c8pL4+Am+VWPwX0wODqZVNZ+Pz96Y8Kwg+Fa9m/Dd0f+qqubz8VclBc8Kgm/byUkdPamqWi49Xct6gm/VuwlfR8fjGROetQTftqdP6+hoPL64WJbgWUnwrZpMarGo/f0Pwf/552Q4Dw/x7mjY8OzN0dH4EzR//113d7WzY8jzIME379nJYgj+9raur6vs6nmY4Bs2XLebnVZVV1U3N4JnDcE3bAj+2fPpzk5XVbe39erVlpfER07wzZvNuv39qqpbE551BN+wccI/q0ePqqru3ixfXS1K8DxsZ9sL4N97H/zBwXg37vdXfQmehwm+YUPwp6fV98NPU0x+O7dlYxXBt225rM8+q+++q8ePa3+/vv6mqmo63fKq+Gh1vf1fy4Yfmbu+rsPDGi7dwQqC/3Tc39dk4tFaVhH8p2B4Df0HS9byGf5TIHU2ZP8HQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4PD9wh3OhCeikAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2df7f054f1fe2a3ab236cbb97838c7c6b3bf613ef8fb7454f0b73c73672734b2"} +{"episode": 5919, "episode_seed": 3831385198, "split": "train", "timestamp": "2025-09-15T22:45:09.085682", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3831385198, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.132452749460384, -26.181527856135748, 47.035208647872345])", "action": "('move', [-22.132452749460384, -26.181527856135748, 47.035208647872345])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH8ElEQVR4nO3dv28b9R/H8bfti9MmKpGQoGwgASsrAxNiRvwBILGC2FgRfwQb/AdMiJF/goUdMcDQSu0AUZuk8d19B7t2ki9fia8vwr6+Hg9VlZVcm+upz3x+2L5M+r4vIMN01ycA/HsED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0GaXZ8A/FN9v3owmez0PMZM8IyGzoczpWffLRZVVT/9VK+8Um++We+8Uz//XHVlwOefM8IzDqen9ehRPXpU9fxbAFsQPOPQtjWZVNNU39e9e7s+m9EypWffLZfu5+ebOfzR0ebj/F8EzzicnVU9X7ffvbvbcxkxwbPvliP5OvjJpI6Pd3tGIyZ49t3V4KtqNqv5fIenM26CZxzWI/zxsdX79gTPXlvO4et58F1XR0eC357gGYGu20zpBT+E4BmBxaLOz1ePBT+E4BmBrqunT1ePl0/Csx3BMwKLxWZKb9NuCMEzAm1rSn87BM8ItO1mhPcyuyEEzwjcmNKzNcEzAjeelmNrgmcEro7wgh9C8IzAjU07tiZ49try/bBtu3ke3hp+CMEzAstd+tmsyi79MIJnBNq2Li5WT78b4YcQPCOwvGvl1eDdsnY7gmcElsFPp1Wm9MMInhFYb9GXXfphBM9eW07jnzzZfMQafgjBMwLr5+TKCD+M4BmB9cvsqtzBchDBMwLLKX3XVVU1flrSAIJnr924Kf18vtqrZzsuHiOwXMN3Xd29K/hBXDxGYD2lPzoypR9E8IzAepfeCD+Qi8cIXL2/1fItNGxH8IyAEf62uHjsu67bvNLu6MgIP4jg2Xd9f22EF/wQgmff9f21Nbwp/RAuHvuu703pb43g2XdXR/g7dwQ/iODZdzd+kqQp/RAuHvtuOaVfvqh+vYb34+W2I3j23XKXfh08QwiefXc1+OXdL9zBcmveiMC+a9u6vKymqb53u5uhBM++e/Kk2rbatqrq4KCqqu+t4bckePbdfF6fflqXl/XgQb311q7PZuQmvfUQ+63va7Govq/Lyzo89H74QQQPQezSMw59b3P+FpgeMQ526W6FER6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CNLs+gRdF39dkcvMjN9w4AP51k/6//1++kPr+WoFX29MhMWKC38Lye0TfV9fVbFbT58ufZ89qsajJZPXZtq2Lizo7q66rN95YDfW//16//FJnZ3VxURcX9fRpNU199tlO/z2QEPyywMeP6+HD6rpVn+fnq0r7vt59t157rarq9LS++aYuL+v8fHXA+XktFvX4cX3ySX38cVVV19WXX9b339fBQZ2e1tlZPXu2+kL379eDB7VYVNPUt9/W55/fPJOuM5tgtwLW8G1bTVPffVdfffX3B/z4Y330UVXVn3/W11///TGvv74KfjqtX3+thw+vffbgoCaTunev2nY1EXj11Xr77ZpMqmnq4KBms3rppdVMAXYnIPil+bym05rP6/Cw5vPVr6apk5M6OVkdc3RUH35YVXV4WAcHq2Pu3KnptD74YLMt98UX9d579fLLNZutDlsmfXJSk8kq+Pffrx9+qKbZfKHDw82iAHYkZkr/xx/12281m1XTrH5fPpjP6/79Oj6uquq6+uuva8dIlBdLQPBDXN3bX8e/WNxcja8fN83mD3bdtU9d/RtgR2KCXxe4tk5xMtk8/l9Xw2YbL4SY4AEvrYUogocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wHk1Ikkc+sDPAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.132452749460384, -26.181527856135748, 47.035208647872345])", "action": "('move', [-22.132452749460384, -26.181527856135748, 47.035208647872345])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH8ElEQVR4nO3dv28b9R/H8bfti9MmKpGQoGwgASsrAxNiRvwBILGC2FgRfwQb/AdMiJF/goUdMcDQSu0AUZuk8d19B7t2ki9fia8vwr6+Hg9VlZVcm+upz3x+2L5M+r4vIMN01ycA/HsED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0GaXZ8A/FN9v3owmez0PMZM8IyGzoczpWffLRZVVT/9VK+8Um++We+8Uz//XHVlwOefM8IzDqen9ehRPXpU9fxbAFsQPOPQtjWZVNNU39e9e7s+m9EypWffLZfu5+ebOfzR0ebj/F8EzzicnVU9X7ffvbvbcxkxwbPvliP5OvjJpI6Pd3tGIyZ49t3V4KtqNqv5fIenM26CZxzWI/zxsdX79gTPXlvO4et58F1XR0eC357gGYGu20zpBT+E4BmBxaLOz1ePBT+E4BmBrqunT1ePl0/Csx3BMwKLxWZKb9NuCMEzAm1rSn87BM8ItO1mhPcyuyEEzwjcmNKzNcEzAjeelmNrgmcEro7wgh9C8IzAjU07tiZ49try/bBtu3ke3hp+CMEzAstd+tmsyi79MIJnBNq2Li5WT78b4YcQPCOwvGvl1eDdsnY7gmcElsFPp1Wm9MMInhFYb9GXXfphBM9eW07jnzzZfMQafgjBMwLr5+TKCD+M4BmB9cvsqtzBchDBMwLLKX3XVVU1flrSAIJnr924Kf18vtqrZzsuHiOwXMN3Xd29K/hBXDxGYD2lPzoypR9E8IzAepfeCD+Qi8cIXL2/1fItNGxH8IyAEf62uHjsu67bvNLu6MgIP4jg2Xd9f22EF/wQgmff9f21Nbwp/RAuHvuu703pb43g2XdXR/g7dwQ/iODZdzd+kqQp/RAuHvtuOaVfvqh+vYb34+W2I3j23XKXfh08QwiefXc1+OXdL9zBcmveiMC+a9u6vKymqb53u5uhBM++e/Kk2rbatqrq4KCqqu+t4bckePbdfF6fflqXl/XgQb311q7PZuQmvfUQ+63va7Govq/Lyzo89H74QQQPQezSMw59b3P+FpgeMQ526W6FER6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CNLs+gRdF39dkcvMjN9w4AP51k/6//1++kPr+WoFX29MhMWKC38Lye0TfV9fVbFbT58ufZ89qsajJZPXZtq2Lizo7q66rN95YDfW//16//FJnZ3VxURcX9fRpNU199tlO/z2QEPyywMeP6+HD6rpVn+fnq0r7vt59t157rarq9LS++aYuL+v8fHXA+XktFvX4cX3ySX38cVVV19WXX9b339fBQZ2e1tlZPXu2+kL379eDB7VYVNPUt9/W55/fPJOuM5tgtwLW8G1bTVPffVdfffX3B/z4Y330UVXVn3/W11///TGvv74KfjqtX3+thw+vffbgoCaTunev2nY1EXj11Xr77ZpMqmnq4KBms3rppdVMAXYnIPil+bym05rP6/Cw5vPVr6apk5M6OVkdc3RUH35YVXV4WAcHq2Pu3KnptD74YLMt98UX9d579fLLNZutDlsmfXJSk8kq+Pffrx9+qKbZfKHDw82iAHYkZkr/xx/12281m1XTrH5fPpjP6/79Oj6uquq6+uuva8dIlBdLQPBDXN3bX8e/WNxcja8fN83mD3bdtU9d/RtgR2KCXxe4tk5xMtk8/l9Xw2YbL4SY4AEvrYUogocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wHk1Ikkc+sDPAAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH8ElEQVR4nO3dv28b9R/H8bfti9MmKpGQoGwgASsrAxNiRvwBILGC2FgRfwQb/AdMiJF/goUdMcDQSu0AUZuk8d19B7t2ki9fia8vwr6+Hg9VlZVcm+upz3x+2L5M+r4vIMN01ycA/HsED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0GaXZ8A/FN9v3owmez0PMZM8IyGzoczpWffLRZVVT/9VK+8Um++We+8Uz//XHVlwOefM8IzDqen9ehRPXpU9fxbAFsQPOPQtjWZVNNU39e9e7s+m9EypWffLZfu5+ebOfzR0ebj/F8EzzicnVU9X7ffvbvbcxkxwbPvliP5OvjJpI6Pd3tGIyZ49t3V4KtqNqv5fIenM26CZxzWI/zxsdX79gTPXlvO4et58F1XR0eC357gGYGu20zpBT+E4BmBxaLOz1ePBT+E4BmBrqunT1ePl0/Csx3BMwKLxWZKb9NuCMEzAm1rSn87BM8ItO1mhPcyuyEEzwjcmNKzNcEzAjeelmNrgmcEro7wgh9C8IzAjU07tiZ49try/bBtu3ke3hp+CMEzAstd+tmsyi79MIJnBNq2Li5WT78b4YcQPCOwvGvl1eDdsnY7gmcElsFPp1Wm9MMInhFYb9GXXfphBM9eW07jnzzZfMQafgjBMwLr5+TKCD+M4BmB9cvsqtzBchDBMwLLKX3XVVU1flrSAIJnr924Kf18vtqrZzsuHiOwXMN3Xd29K/hBXDxGYD2lPzoypR9E8IzAepfeCD+Qi8cIXL2/1fItNGxH8IyAEf62uHjsu67bvNLu6MgIP4jg2Xd9f22EF/wQgmff9f21Nbwp/RAuHvuu703pb43g2XdXR/g7dwQ/iODZdzd+kqQp/RAuHvtuOaVfvqh+vYb34+W2I3j23XKXfh08QwiefXc1+OXdL9zBcmveiMC+a9u6vKymqb53u5uhBM++e/Kk2rbatqrq4KCqqu+t4bckePbdfF6fflqXl/XgQb311q7PZuQmvfUQ+63va7Govq/Lyzo89H74QQQPQezSMw59b3P+FpgeMQ526W6FER6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CNLs+gRdF39dkcvMjN9w4AP51k/6//1++kPr+WoFX29MhMWKC38Lye0TfV9fVbFbT58ufZ89qsajJZPXZtq2Lizo7q66rN95YDfW//16//FJnZ3VxURcX9fRpNU199tlO/z2QEPyywMeP6+HD6rpVn+fnq0r7vt59t157rarq9LS++aYuL+v8fHXA+XktFvX4cX3ySX38cVVV19WXX9b339fBQZ2e1tlZPXu2+kL379eDB7VYVNPUt9/W55/fPJOuM5tgtwLW8G1bTVPffVdfffX3B/z4Y330UVXVn3/W11///TGvv74KfjqtX3+thw+vffbgoCaTunev2nY1EXj11Xr77ZpMqmnq4KBms3rppdVMAXYnIPil+bym05rP6/Cw5vPVr6apk5M6OVkdc3RUH35YVXV4WAcHq2Pu3KnptD74YLMt98UX9d579fLLNZutDlsmfXJSk8kq+Pffrx9+qKbZfKHDw82iAHYkZkr/xx/12281m1XTrH5fPpjP6/79Oj6uquq6+uuva8dIlBdLQPBDXN3bX8e/WNxcja8fN83mD3bdtU9d/RtgR2KCXxe4tk5xMtk8/l9Xw2YbL4SY4AEvrYUogocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wHk1Ikkc+sDPAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.132452749460384, -26.181527856135748, 47.035208647872345])", "action": "('move', [-22.132452749460384, -26.181527856135748, 47.035208647872345])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "e391452884ff470e59dfb6c37267066152b8248ea499b1746107bd6f00303884"} +{"episode": 5920, "episode_seed": 2380389381, "split": "train", "timestamp": "2025-09-15T22:45:10.099549", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2380389381, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3372745810522282, -3.9351270666268197, 9.386216720247697])", "action": "('move', [0.3372745810522282, -3.9351270666268197, 9.386216720247697])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3372745810522282, -3.9351270666268197, 9.386216720247697])", "action": "('move', [0.3372745810522282, -3.9351270666268197, 9.386216720247697])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3372745810522282, -3.9351270666268197, 9.386216720247697])", "action": "('move', [0.3372745810522282, -3.9351270666268197, 9.386216720247697])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "d6014c144aeeccfb223f12b0db153c95a1569fdba9b002a5f39529e061078e1b"} +{"episode": 5921, "episode_seed": 325051276, "split": "train", "timestamp": "2025-09-15T22:45:10.735215", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 325051276, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [32.35164266304506, -31.351679895852, -2.481350089600596])", "action": "('move', [32.35164266304506, -31.351679895852, -2.481350089600596])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [32.35164266304506, -31.351679895852, -2.481350089600596])", "action": "('move', [32.35164266304506, -31.351679895852, -2.481350089600596])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALqklEQVR4nO3da4hU9QPG8eecmdldM1GRJFNQ0CgIIcsskcxAyRSyyMSKzdKtwKhNMxElDCmyXoRZlq1ShElecHM1dyUoQ1+sFEhULyoU0jJEM+3ezuWc/4sz2IX+tZfZnRmf7+eVum9+uPPd3+VcNojjWAA8hOUeAIC+Q/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG0uUeQCWKY0WRJKVS5R4KUFJBHMflHkNlSf4/gqD45+QPwPmBJf1fJIUXClq6VO+9pyAQPw9xPmGG/0MUKQh07JgaG9XSopEj9cEHGjWKeR7nD2b4onMr+fXr1dKifv109KgWLFA2qyAobumBakfwRec27Q8+qGuv1W+/KZPR++/rkUeUyymKWNvjfMCS/i8KBaVS+ugjzZih06cVhopjrV2rhx4qfgmoagT/d0nYO3ZozhyFoSQNGqQdOzR5Mpt5VD2W9H+XSqlQ0O2368knlc9L0nffad48HTvGoT2qHjP8P4siRZHq67Vli2pqlM3qxhu1d69qaso9MqAHmOH/r3Razz+vceOUzSqT0b59evRRRZFyOeZ5VCuC/2dhqEJBw4ZpwwZddJHyeaXTamrSq68qk1GhUO7xAd3Ckv7fJAd427bp3nuVzyuONWCAdu7U5Mkc2qMqMcP/mzBULqc5c7R4cXElf+aM7rtPR44Uz/aA6sIM/x/iWHGsQkFz5mjnzuIB3vTp2r5d/ftL4kIdqgkz/H8IAgWBMhlt3Kgrrige4O3dq5UrueUW1YcZvlOiSGGojz/WTTfp5EmFoaJIGzaooYHNPKoJwXdKsrAPQ23dqvnzlc0qjtWvn1pbdf31NI+qwZK+U5KFfS6n2bPV2Fi8A+/nn9XQoC+/5AAPVYMZvguSV1/lcpo7Vy0tqq1VR4dmzdKmTbrwwuISAKhkfEK7IJnn6+q0caPGjlVHh2pr1dKiVas4q0d1YIbvsuSZuUOHNHWqzpwpHuBt3KgFC9jMo9IRfHckzW/Zovp6SYoi9e+vtjZNmsQjtKhoLOm7I3nR5dy5WrJE+byCQD/9pAULdPQoF+dR0Zjhuym5UJfP68471dxcPMCbOVPNzaqpYZ5HhWKG76ak55oavfiirrqqeIC3Z4+WL5fEJI8KxQzfI8ljswcO6Lbb9P33xfV8U5Puv7/4JaCiEHxPJXfdbtqkefOUTqtQ0JAhevttDvBQiVjS91RyWa6+XsuWKZdTGOrUKTU06MQJ3oGHisMMXxpRVDy3b25WJqNcTjNmaPdu7r1DZeHzWDKZjNas0bhxyuVUU6PWVj3+uCRus0cFYYYvmeSUbv9+zZqls2cVhgpDvfKKGhqUyymTKff4AIIvraT5TZs0f77CUPm8hg5Vc7MmTiye7QHlxWewlJJT+vp6LV6sbFZhqBMn1NCgb78tnu0B5cUMX2LnHqGdPVt79iidVj6vmTO1Y0fxl1hwoQ5lxAxfYkGgMFRdnZqadNllyueVyWjPnuI78IDyYobvFcmOvb1d06bpl1+K6/k33tA997CZRznx0esVyT22Eydq/XrV1SmdVhhqyRK1t7OZRzkRfK9I3o1TKOjuu/Xww8pmlU7r1CmtWFGsnXUVyoLge8u55les0PTpymZ19dV65pk/vgT0PfbwvSvZsR87ppdeUmOjhg8v94DgjeB73Z+fmeOldygvgu8LSfM8LYuyI3jACId2gBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBI8uiuNyjwDdR/Doiny+3CNAjwQxP7DRVYWCUqlyDwLdwQyPrmhr0x136OuvFces7atRutwDQDWIIoWhvvpKixbpiy9UU6PNmwm+GjHDoxPCUPm8LrlEd92ldFpvvaU331QQKIrKPTJ0DXt4dE4yyXd06OabtW+fRo5Ue7uGDSv+O6oE3yp0ThiqUFBtrVav1uDBOnpUDzygXI6FfXUheHRaKqUo0oQJeuwxDRqkG25QHCuVovkqwpIeXRRF6ujQZ5/pmmskKY4VBOUeEzqL4NFdf969k32VYEmProtjFQqKY/34o9atU2srtVcLrsOj65K8UymtWaOVKzV8uD78UBdfzHF95eM7hB6YPFlDh+r4cS1dqjDk9K7yETy6JZVSoaApU7RwocJQW7Zo82YFAU/XVDgO7dBdcVw8sZ86Ve3tuvRStbVp9GgeralkzPDoriBQGOqCC7R2rQYM0OHDWrWq+O/cclupCB49EASKY40fr2XLFMfaskUvvyzxkozKRfDosTjWokW67jplszp9WoUCB3gViz08SuSTT9TeroaG4h24XKKrSASPUuBOuyrBj2GUQnJQl9x+J+nQIX3zjcRmvuIQPEokWcMHgZ59VuPHa+lS5fPK52m+ohA8SidZ1Z88qTjWrl3avl2ZjAqFcg8Lf2APj5KKY2WzmjJFBw9qzBi9+65GjVIUcStOhWCGR6nV1uqFF9Svnw4f1urVKhSKl+tRAQgeJZW0PWGCli+XpNdf165dXJavHCzpUWpRpCDQ2bO69Vbt36/LL9c772j0aC7dVQJmeJRaGCqKNHiwnn5aAwbo88+1e7ckaq8EzPDoHcnNds89p+PHtWSJRowg+EpA8Ogdyeeqo0N1dcW/EnwFIHj0smRLHwT69Vel08pkKL+M2MOjNyUTexxr61ZdeaW2beOtOOXFDI/e9/vvmjRJhw5p7Fi1tmrECB6nKxf+09HL4lh1dVq3TgMH6tNP9dRTxZttmWnKgeDRy5IH6SZMUGOjJL32mlpbmd7LhSU9el9ybvfDD7rlFh04oDFjdPCghgwp97Ac8YMWvS/5zbODBumJJzRwoA4f1vLliiLeddn3CB59Ip1WPq9p07RwoSQ1NamtrfiDAH2IXzWFvpK8627ZMu3fr4EDNXQod+P0Pfbw6ENJ4UeOaMQI1daWezSOCB5969yszqX4ciB49LlzN9uizxE8YIQ1FWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+R9UYGS47zriDwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [32.35164266304506, -31.351679895852, -2.481350089600596])", "action": "('move', [32.35164266304506, -31.351679895852, -2.481350089600596])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "c904953d93bb1d632c2a8960c00cd2283729247005cee06e225fdf77312a70b6"} +{"episode": 5922, "episode_seed": 1512395229, "split": "train", "timestamp": "2025-09-15T22:45:11.365432", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1512395229, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.322643091820442, 0.3788182646612442, -5.192332996942336])", "action": "('move', [-3.322643091820442, 0.3788182646612442, -5.192332996942336])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.322643091820442, 0.3788182646612442, -5.192332996942336])", "action": "('move', [-3.322643091820442, 0.3788182646612442, -5.192332996942336])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.322643091820442, 0.3788182646612442, -5.192332996942336])", "action": "('move', [-3.322643091820442, 0.3788182646612442, -5.192332996942336])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "ba29d27219984b63b11bbde832af5059855f45a1b4eeabdef9eb0ed52d9f2891"} +{"episode": 5923, "episode_seed": 3546150952, "split": "train", "timestamp": "2025-09-15T22:45:12.011997", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3546150952, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-27.817484875371623, 0.5027198737598151, 11.537549253015433])", "action": "('move', [-27.817484875371623, 0.5027198737598151, 11.537549253015433])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-27.817484875371623, 0.5027198737598151, 11.537549253015433])", "action": "('move', [-27.817484875371623, 0.5027198737598151, 11.537549253015433])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-27.817484875371623, 0.5027198737598151, 11.537549253015433])", "action": "('move', [-27.817484875371623, 0.5027198737598151, 11.537549253015433])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALXUlEQVR4nO3dbYhU1QPH8d+dO66b22YYGGo+hKHmQ4VEZYlpBSkEmT0omQVmgmaJqFARZBJUkpWU0QOiaGqYVkKhFtSb0CLDTaEsbMs3ailJ5rJNuzP3/+JcRfvvuLO6zkz8vp9XOszCZdnvnHvOPfdOlCSJAHjIVPoAAJQPwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEf/YKBRUKlT4IoCOylT6A/6QkUT6vLL88/Ncwwp+NKFI2q4MH1dCgJKn00QAlI/iOCXkfOKCVKzVpkm69Vbt2KUnU2lrpIwNKwFnpiYijqJT3FgqKY+3Zo+nT01fWrdPIkcrwyYn/Av5OpSgqsXZJcaxCQaNHa+RIZbOKIm3cqJ9+UiajfP68HiXQCbyDLxSUy+ntt7VypaTSp+N1dXr0UbW2Ko61f782bVKSlP6hAVRMlNguOhUKymS0cqWmT1ddnbZt0003lR5uLqehQ/Xrr0oSDRyoL77QZZeRPaqd9wgv6brrNGCAmpo0e7aOHCl9kO/aVQsXqlBQNqt9+/TJJ+f1KIHOYRx8JqNCQcOGadkyde+u3bs1f74ymVKaD2+ZOFH9+yufVxRpyRI1NzO8o9oZBy8pitTSojvu0KxZkrR6tZYsURS1u/4WRUoS9eypWbPSdfvGRm3YIHVgHQCoAPvgw3a5Z5/VuHGqr1f//iX+aJIok9Gdd6aDfCajpUvT14Gq5R28TlyTq6nRihXauVOTJ6cpt7dLPpwHDBmie+9NI9+7V2vXKpNhEw6ql/EqfZtOXWcPy/jF5fOKYzU0aMIE/fabkkRjx2rLFmWzimPm86hG9iP8SeGGGEl//aUFC7RmTbu75+JY+byuuUYTJqQfFN98kwbPII/qRPCnCKf3r7+upUs1e7YaGqR2JuVJoiTRjBnq3l2Smpq0fr3++UdxzGQe1YjgTzh5Cj5unAYN0vHjmjFDx4+nK/JFZLMqFDRqlMaMSef+H3+s7dvZaYsqRfCnCAtuN9ygZ55Rly769lvNnat8Xq2tZ2g+nBYsWJBurW9u1tq16d3yDPKoNgR/unBzzP33a+5cSVq7VitWqEuXMyzah5n+mDEaPTod5Dds0J49EpfoUH0I/nRRlF6TW7xYY8cql9OiRfruu/SDoIgwk3/yyXQTzrFjWrOm3TV+oAK4LFfc3r0aN06HDmnkSG3erD59pDPdNt/crNtu0/btimPV1WnPHvXrx+00qC6MQUWEXTWvvKIo0u23q0cP6Uzn6IWCams1b54kZTI6dkxvvVWuQwVKxghfXJIol9P+/Ro8WDqxz6bIkF0oKIp0+LAmTtSOHcpk1KOH9u5NPygY5FElGOGLiyLV1qa1S4pjNTUVu0oXJv49e2rq1HSb3ZEjeu01RRGPskYVIfj2hLxzOa1apZkz9ccfxZ5HHz4K7rpLw4alF+HXr9eRI2e+kA+UFcG3J8Ta2KiZM7VunRYvVhy3+caw2aZ3b02alF6c/+UXrV7N7TSoIgTfnjBA9+unRx6RpDff1Lp1xXbShcdnzJihvn0lqaVFmzbp8OF0Qx5QcQTfnjBY19VpyRJdf71yOS1cmF6Z/7/mw+dAnz665x4lieJYX32lrVuZyaNaEHxpCgXV1emdd3TJJTpwQAsX6vjxNp+HFRbyH3tMF1+cTvZXrdKxYwzyqAoEX5pwYj9ihF5+WbW1+uwzPfdcm1fbwmsDBui++9JB/vPP9eWX5T5eoE0EX5rQcWurJk/Wgw9K0osv6qOPii3BJ4nmzVNNTfrfN95QS0uJD8gEziOCL1nYZl9Toxde0FVXafx4DR8utbH9Lsz6Bw/WlCnpbXNbt2rnzgocMvAv7LTroLDT7uBB1dfrwguL3SITXv76a40apThWa6vuvlsbN5b/cIHTEHzHndxdG/7R1KSamvTptydm9eGX+vffmj5d772nKFIca+dOjRjRoW+yAzoZp/QdF+btSaJCQTt2aNo0ffDBvybz4Zm2F1ygBx5Qt27p3puXXirlcbjAeUTwZysUvnSpPvxQTz+txsZ/LcqFO+jHjNHNN6ffTrNli374gadfoZII/qyEnTTZrObMUa9e2rdPs2erpeXUk/UwyNfXa8oU1dZK0tGjWr6cTTioJII/W+E0fexYPfGEJG3bpkWLJJ1aczarfF6TJ2v48HQGEAb5Ll0Y5FEZBH8Owln744/roYck6dVXtXnzqdP0cNbftasefjh9e2Oj3n8/XQEAyo9V+nMTHnzx++8aP14NDbriCn36qS6//OTluvDbbW7W1Vfr558ladAgbd2qAQPSB2oA5cQIf27CQt2ll2r5ctXXa98+zZ+fnq8niU4M8t26ac6cdKftjz9qyxaJx+CgEgj+nIVz+Btv1OLFGjo0/ebpTOZk0OEzYdo09eqVLtcvW6Y//2SnLSqAU/pOElI+dEi9exd7y/PP66mn0m+ee/ddTZ1azuMDJILvfG1ttg2v7d+va6/V0aPKZHTlldqxQ926VeQQ4YtT+s4TFt/b2lofZvL9+2vmTOXzamnR7t3atSv9IaBsCL7zFN8lHzbhSJo0SX376pZbtGKFhgwp69EB4pS+zHI5ff+9Bg7URRdV+lBgieAro6Ul/bZZoJwIvqzCBtvwKA2g/AgeMMJAAxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwP56LeRVt0YdkAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "b089999f482595a6256eae92f6e691c67fd4716c5960fde59cfd89bea9d1c699"} +{"episode": 5924, "episode_seed": 781221937, "split": "train", "timestamp": "2025-09-15T22:45:13.017006", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 781221937, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.7439152271066543, -5.100082803237282, 21.60770275247387])", "action": "('move', [-3.7439152271066543, -5.100082803237282, 21.60770275247387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.7439152271066543, -5.100082803237282, 21.60770275247387])", "action": "('move', [-3.7439152271066543, -5.100082803237282, 21.60770275247387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.7439152271066543, -5.100082803237282, 21.60770275247387])", "action": "('move', [-3.7439152271066543, -5.100082803237282, 21.60770275247387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "aa83b910d82acb591c1aa177770ce31ad22a6ae151a296de0efd88b53733001d"} +{"episode": 5925, "episode_seed": 109508435, "split": "train", "timestamp": "2025-09-15T22:45:13.655664", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 109508435, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.323677038671734, 96.97816191933867, 2.404222350649254])", "action": "('move', [-12.323677038671734, 96.97816191933867, 2.404222350649254])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.323677038671734, 96.97816191933867, 2.404222350649254])", "action": "('move', [-12.323677038671734, 96.97816191933867, 2.404222350649254])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.323677038671734, 96.97816191933867, 2.404222350649254])", "action": "('move', [-12.323677038671734, 96.97816191933867, 2.404222350649254])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "b539aa83d88668d8554de835dbdd03cc491074542b27118b6658c3c8a60d87c7"} +{"episode": 5926, "episode_seed": 3374133871, "split": "train", "timestamp": "2025-09-15T22:45:14.294232", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3374133871, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.718667882612552, -1.3073074817350971, 50.594181135073995])", "action": "('move', [2.718667882612552, -1.3073074817350971, 50.594181135073995])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKr0lEQVR4nO3da4gVdQPH8d/MnL0poS1mokJRSEZK9MIVossmFnSBsItUWAtigVnGUhZlFARGFxWlxCAzbyHESi8DLeyyUb7R0MBLWRIbBhpWpLm7Z2aeFzMneZ70kcfj05kzv+/n1XLYF3+W893/f/7zP3OCNE0FwEPY6AEA+OcQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjASEmCT1MlSaMHARReGYJPEgWBwpDmgbNo+uDjWGGoI0d06BDNA2fR3MGnqaJIR49qzhzdeqsOHKB54L9p4uCTRGmqgwd1113aulX79um++3TwIM0DZ9TEwUsKQ7W367ffJKm9Xbt2qadHAwMKQ8VxowcHFE8TB5/N5BMmqK9PU6bo5El1dOiLLzR3ro4eVRTRPPCfmjh4KZ/JJ03Sxo26/HL9+afa2rRtm+bN0++/K4pY2wP/JkjTtNFjqFeSKAy1Y4fuvls//aRKRdWq7rlH69drxAilqYKg0UMEiqG5Z/hMtrafPl3vvadx41StqlJRX5/mz1e1KknN/z8NOD/KELykMFS1qhtv1Jo16uxUtaq2Nm3YoIULFQQKApoHpNIEL6lS0fCwbr9dq1dr5EgNDqq1VatX68kn81+geaA8wUtqaVG1qtmztWqVWlo0NKRKRcuX6/nnFQT5fXvAWamCl1SpKEnU06M338x/DkMtWaIlSxRF+SU9YKsMu/R/l3W+YoV6exVFkhTHWr5cvb2K4/wVwFA5g5fyvfqXX9bixfm+XRhq1So98kj+7wAwVNo3fqWiONZzz2nx4vxWfLWqxx/XunX5lj5gqLQzvGqfkw8CPfWUli1Ta6uGhjRypNau1ezZGh5WS0ujhwj8s8ocvHTqmN2jj2r1arW1aXBQF16oDRt0xx35sh/wUfLgVbv9HseaN0/r1+cHb8eN0+bN6u7meh5eyh+8avP8iRPq6VFfX978xInaskVdXTQPIxbv9OzUzYgRWrtWd96palWtrRoY0P336+uv+fA8jFgEr9oHaS+4QGvW6JZbNDSkjg59/70efFD793MmBy4slvR/yU7dZHN7f7/a23XypKZN0/vv69JLWduj/LyCV+0Q3sGDuvde7dqllhYND+u669TXp4sv5sPzKDm74FVrfv9+zZqlvXvzPbzubm3Zos5OmkeZOS5hs+v5K67Q5s267LJ8D++TTzRnjk6cyHf4gFJyDF7Kd+muvlobN2rCBA0Nqb1dH36ohx7S8DAPukZpmQYv5Sv5a6/VunUaM0YnT6q1VVu2aO5cDQ4yz6OcfINX7QM2M2dq/XqNGqWhIUWRNm3SggWqVnlaBkrIOngpf3z9bbfp3Xc1YoSSRFGkd97RokX5U67JHmXiHrxq1/OzZunttxUEimNVKlq5Us8+qzBkxx6lQvBSbW3/wAN66y2pdj7nlVf00kuSmOdRHgSfy9b2Dz+sN97IJ/Yg0Isv6vXX8wdm0DxKwPHgzZlkf4kg0Guv6Zln1NaWP/d25UrNn3/qcRpA82KGPyWLOUn09NN64QUNDua37hYt0qZNHLNHGTDDn0YcKwy1aJGWLcuX+qNG6ZtvNHEiB2/R3Ji2TiObzF99VY89pjhWW5uWLtWYMfmqHmhePNLtNLJjdlGkZcuUJLrmGs2bx9yOMmBJf0YUjvJhSX9GWe1pyg05lAdL+rNgkkeZMMMDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggexZOmShK+4uv/gS+TBIwww6N4tm3T9ddr7tz8qzyZk84fgkeRZG1/9536+7V9u/btUxAQ/HlE8CiemTNVqWhgQHv2KE0Vx40eUHkQPIok+3buCRM0daqqVe3erSBQFDV6WOVB8Cie9nbNmCFJO3bo2DGFoZKk0WMqCYJHwSSJwlDd3ZL07bc6fLjB4ykXbsuhYNJUQaAjR/Tpp7rpJnV2SrWlPupG8Ci2alVRRPDnC8GjqLKpHucV1/AonmwSimPt2aOlS/XDD40eUHlUGj0A4G+yuf3nn/XEE9q+Xa2tWriw0WMqCWZ4FE8QKEk0fny+Y/fRR40eUHkQPIonCFStKgzV1SVJ/f36449Gj6kkCB6FlJ2u6+rS6NH69Vd9/rkkDtXXj+BRSNnpumnTdMklSlN9/LEkztvVj+BRSEGgONbIkZo6VUGg/v78RdSH4FFUYag0VXe30lR792r3bg7V14/gUVRhqCDQjBkaO1ajR+vHHyVW9fXipB0K74MPdOWVmjy50eMoA4JHsf11wDZJFARcxteJJT2KLbsnr9oKH/UheBRepaLDh7VihbZulcQTr+pB8Ci8ONaCBert1aZNiuN89x7nhOBReFGkm2+WpJ07degQz7GtB8Gj2LL7cNOnK4p04IAOHZI4Y3vuCB7Flm3UjR+vq67S8LB27pSkkPftOeIPh2Zw0UW64QYFgT77TMePs6o/ZwSPYssO1UeRurqUpvrySx071ugxNTGCR5OYPFljx+qXX/TVV40eShMjeBRedhk/aZKmTtWYMTp+/NSL+B9xtBbNY/duDQ5qyhR1dDR6KM2K4AEjLOnRPJJEccz+fD2Y4QEjzPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YORf0WGf29d9eJUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.718667882612552, -1.3073074817350971, 50.594181135073995])", "action": "('move', [2.718667882612552, -1.3073074817350971, 50.594181135073995])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.718667882612552, -1.3073074817350971, 50.594181135073995])", "action": "('move', [2.718667882612552, -1.3073074817350971, 50.594181135073995])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "d599d134dc9c99644dd2d294079b451615d94f021a722be1d46cb4a1aa8497bc"} +{"episode": 5927, "episode_seed": 2535024122, "split": "train", "timestamp": "2025-09-15T22:45:14.945336", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2535024122, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.64136873479921, 2.594832769037244, 55.111488504942066])", "action": "('move', [3.64136873479921, 2.594832769037244, 55.111488504942066])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.64136873479921, 2.594832769037244, 55.111488504942066])", "action": "('move', [3.64136873479921, 2.594832769037244, 55.111488504942066])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.64136873479921, 2.594832769037244, 55.111488504942066])", "action": "('move', [3.64136873479921, 2.594832769037244, 55.111488504942066])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "099711af846f20ed9992daa1774b53b2adce1cf97f6e393d9043297b975687ec"} +{"episode": 5928, "episode_seed": 4146718856, "split": "train", "timestamp": "2025-09-15T22:45:15.930542", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4146718856, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4993011721267875, -2.1308005913350967, -38.74029281714235])", "action": "('move', [-2.4993011721267875, -2.1308005913350967, -38.74029281714235])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKK0lEQVR4nO3d36tlZR3H8c/e5+wZdZr8kajDIGJ4oaA4EUWUJDOSMaUSNaLCECim5o1Qd/0TkQSFQnjhpCgKSg42YSEkIVYwYjoXJSM4Tv6ocZicH+fsH13s5TmHgZw1R2m7zvf1uprZnAPPzfs8z3rWs9fqTSaTADX0Zz0A4P9H8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPHyU8TiLixmPZz2OT0hvMpnMegzwaTQeZzTKYDDrcXyizPBwsskko1H6/QwGOXgwu3Zl//7m864TPDQmkybpXi9zc3n99fzkJ/n2t7NzZx56KEmGw5mO75NgSQ8Zj9Prpddr/vvSS/nZz/L883nzzeaTLVuye3cuuiiTSfpdniXnZz0AmJmlpfu04UOH8vzzuf/+vPBCFhaSpNdr5vz33surr2bTpubnu8sMT0Unpb5vX37/+/z853nttSTp95eX91u25IYbcs892bw543G3a4/gKWg0Sq/XpPuHP2T37jzySA4cSJLBIIuLzT+2b88NN+TWW7NxY5JMJstr/u4SPFUsbcglGY3y61/nqafy3HN5//1kRepnn52dO3PjjbnuuszPJ8lwmLm5tVB7BM+aN12cLy3FDx3Kgw/m0Ufzt781F+pzcxmNkuSSS3LvvbnxxlxxRfPDi4uZn18jqU8JnjVrPM543MzSi4v5xz/y4IN5+OG8806yYkNu/fpcdVV+9KNs355zzml+dy3N6isJnjVoNMp43BySO3Qof/1rHnggTzzRzOTz880d9U2b8pWv5Ic/zDe+sfy7J92iW2MEz5qy8jzs/v3ZsyePPZbnnkvSzNjT1K++Otddl50784UvJCuO0K3VzpcInjVi5Z7cX/6Sxx7Lb3+bvXuTZDBo/hAk2bYtO3bkW9/KJZckyXC4fHOuAsHTYSdtyCX53e/ywAP505+a22xLq/d+P7fcku9/P1/6Uj73uSRZXEy/n7m5WYx7dgRPJ01Pzsx/eFL0yJE8/XTuvz+vvJKjR5MVe3LnnZfbb88dd+Syy7JuXVJvVl9J8HTMSd9a/fvf88QT+cUv8sYbSdLvN99dX78+l1+e227LXXfl3HOXf3cNb8i1IXg6YzLJcNikvrCQP/4xTz+dX/0qR44kK07OnHderrkmN9+c225bXrGvvMKvTPB0wMpr9cOH8+ST+c1v8tRTzXn4+fnmCM3mzdmxIzfdlG3bTv4tpgRPZxw4kF/+Ms8+mz//OUn6/fR6zd77lVfmBz/Itm258srkwyM3a/LkzMckeDpg79789KfZsycHDyYrNuT6/Vx7be67L1/7Ws4/P0lGo0wmUv+fBM+n3cJCtm3LCy8kK/bkLrwwW7fmxz/OF7/YtD2ZNLM6H8EDMPhUm0yybl3uvrsJfjzOli355jdz1135/OeXfyYfPpeKj2aG51Nt+syJf/4z11+fTZvyve/lu99dXr1PL+NpT/B0wHCY/ftzwQX57GeTZHExc3O231dD8HSJ1D8mwdMN0706qX9MgodC/MGEQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8JyO6aPhp0+KpYN8PRYK8RBL2plM0uvlrbeyd28Gg3z9682L2ugUwdPO9CVPe/bk9tuT5N13m0dJ0imC53T0ehkMMhjkM5+Z9VBYDZt2nI4PPsjiYtatW35RM50ieNqZbu4uLGR+fvn1y3SN4Dkd776b4bB5zTodZGFGO9MHRF99db7znVx6qeA7yn14TtN4nNEog8Gsx8FqCB4KcQ0PhbiGp7XJJI8+mpdfztatuf76WY+G1RA8LUzP1S4uZteuPPNMDh8WfEdZ0tPC0k34fj9zc7ngglkPiFUSPK2dOJGjRzMa5cwzZz0UVknwtLawkOPHkzhI312CpzXBd5/gae3EiSb4DRtmPRRWSfC0sLRpd/x45uaycePyh3SK4Glt+rWZ0ShnnDHrobBKjtbS2sJC3nknx47l4os131GCh0Is6aEQR2tpYXq09u238+KLOffcfPnLWb9+1mNiNczwtDB988SLL+aWW3Lnnfn3vxO79J0keFr74IMcP55jx6TeXYKntRMn0uvlnHM8sra7BE8L0yfYHT2aySRnnJG5uVkPiFUSPC0sBZ9kwwbBd5fgaWH6yFrBd5/gOZWlLbr//CdJzjxT8N0leNoZj3PsWCL4brPdyqksvXPippty1ln56lebXXrvouggZ+mhEEt6WhuNsrDQnLqjm8zwUIgZnlOZTgn/+ld27MjFF+fxx5c/pGsETzsLC9m3L2++mcOHE8F3leBpZzTKcJheL2efnQi+qwTPqUzbHg6Xz9JH8F0leNoZjXLkSJLm0RduwneT4GlnOGyO1g4Gsx4Kqyd42hmPk2T9+qxbN+uhsHqO1tLOsWMZDjOZNN+co5sEz6lML9c3bsz27dmwIeefv/whXeOkHe2Mx827ojds8Iir7hI8FOJ6jNYmE7ffu87ajNZct3efGR4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkP8CNV+SCWmv3JwAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4993011721267875, -2.1308005913350967, -38.74029281714235])", "action": "('move', [-2.4993011721267875, -2.1308005913350967, -38.74029281714235])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4993011721267875, -2.1308005913350967, -38.74029281714235])", "action": "('move', [-2.4993011721267875, -2.1308005913350967, -38.74029281714235])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGZUlEQVR4nO3cTW4aSRyH4X8DmXwAI80y18kFconcIgeeySLZxHYCpqlZQMCZTXccaVDp9zyrFquS4HVVV7draK0VkGFx6wEA/x/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5DVrQdAN1qrL1+qqjabWi5r5bfTITM801qrqtrt6sOHevu2ttt6/76qahxvOy5+mb/SzLXb1f19PT5WVbVjqxpuPSJ+mRmeaZcZfrc7f/LnxuTeJcEz1+Njfft2vt5sl1U1mON7I3jm2u3q+/fz9Xqr9S4JnmmnJf1+fw1+u73hcHg+wTPXfn9d0q/XNx0KzyV45nq6pN9sbjoUnkvwzHVZ0g/DOXibdt0RPNMuj+Wuu/Rm+D4Jnrn2+xrH86wu+E4Jnrn2u1Z1HBbXJT3dETxznV6zWy6qzPDd8i49c33fDVVDq1osBN8rMzzTTvftDw9VVdWqfjyHt0vfHcEz7RT2/X1VVWs1DN6065XgmXYK/vJMbrlsL1/ecDg8n+CZ6zLDb96MFvOdEjwTTmv41s738MdjbV63heD7JHhmGccfm3anZ3KC75PgmeVwOC/pq2rz18qSvlOCZ5ZxfBL8ZhB8pwTPLIfDT0t6wXdK8Mzy33t4+iR4Znl8fLqkv+lQ+A2CZ5bDoR7u2+na+Vb9EjyzjIf2cH88XXuvtl+CZ8LpuJvDod1/baffixm+X4JnlvFQDw+18M/wnRM8sxzGYTeefy6n4Fu76YB4FsEzy+FQVYvFssoM3zMn3jDLbj9cDrwQfL/M8Ew4VX53d/1E8P0SPLN8/Xq9tkvfL8Ezy+U1u6p69ep24+D3CJ4JTw+0O441DLWy89MtwTPLaUk/tnr9x2G58ESuV4JnlsuBdus3bbm89Wh4LsEzy2mGb8dabxZLS/puCZ5ZLpt26+1itXL8Ra8Ez7TWrsG/WQ8Lv5pu+eqYdjxeX7xZr+3Sd0zwTGvtp+DN8P3y1TGttbq7ux53Y4bvl6+Oaa3Vt4e2XA6t1XpdHsv1S/BMOx7r73+GcayqevFC8B0TPNNWq/r4cfj0qT5/rnfvzvfwjqbv0dAcXAIxbNpBEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8B2P7gO7JzKpwAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d31d501fe743c7defb39b8282a9ced3d2bc168c01f05fb23921b0342679e5423"} +{"episode": 5929, "episode_seed": 2294600051, "split": "train", "timestamp": "2025-09-15T22:45:16.583329", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2294600051, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2912718037779434, 3.2843692355827065, -58.524919057903276])", "action": "('move', [-3.2912718037779434, 3.2843692355827065, -58.524919057903276])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2912718037779434, 3.2843692355827065, -58.524919057903276])", "action": "('move', [-3.2912718037779434, 3.2843692355827065, -58.524919057903276])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKSUlEQVR4nO3d0Ytc5R3H4e/M7K5p0kSSpr3QjcayiTFazdJCtIUqKAUrvSneWKj3hYL/Sult/4HeCi3UC4NYqgh105CEuFqMtTaoq5iom8TMzpxezGZ3R7MqmDjZ83se5iK7e9i8Yfaz73vec2bSaZomQA3dSQ8A+PYIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMHz9TTNpEfAdSB4vspwmKZJpzPpcXAdCJ7NDQZpmjz7bH7/+/z1r2ka8/xW12k8hWym38/0dJ56Kn/+cw4ezGuvrU71ZvstywzPJpomU1M5fz6nT6fXy5NPptOxtt/qBM8mBoN0Onn55Zw9m+Ewv/hFknT9wGxtnj82MRwmyT/+kU8/zW235aGHkpjetzrBcy1Nk5mZfPZZTpxIp5PHHsvMzKTHxHUgeK5lMEiSM2dy4kSaJk88MekBcX0Ins299FL++9/s2JGjRxP33rTB1KQHwE1ptDl38GAefjh79+Z730ucwLeB6/BsYnQF7sKFNE1uvVXt7SB4Nueqe+s4h+damiaffLJauymhRczwXMvly3nmmfR6efrpHD2apnHLTTvYtGPcaBm/tJQ//SlNk/vuy4MPZjAQfDt4FvmCpskLLyTJ3Fx+/vPE/nx7CJ4v6HTyl78kyaFDOXw4w6HpvTU8kYzrdHLpUl58MU2T+fl0u1lZMcO3huDZYPSCmRdfzAcfZOfOPPxwkvR6kx0U15Hg2WAU/HPPZWUl+/blwQet51vGc8lVo2tvw2GOHUuSH/84O3ZkOLSebxOX5dig283ly/nNb3LLLfnlL11+bx833rDB6IfBlN5efn+zwegNKvt9t9O2lSU9G1y8mE4n3/nOpMfBjWKGJ0myspIkx47lZz/L009neTnxspkWMsOT5Oo7Xrz0Uo4fz/Kyk/m2MsNz9YLcBx/klVfS6+XXv853vzvpMXFDCJ6r99v85z/55z8zGOSRR9Y/SbsInqtL9xMn8vHHmZ3NgQOTHhA3iuDLG63nr1zJsWPpdPLII7nttsQJfDsJniTJRx/l+efT6eTo0Wzbtvr/TNE6gidJcupU3n03vV4eeCBxQa61XJYrbzST3357fve7TE3l8OHES2Jby730jL8dtbembjVLeq5O8v2+U/fWE3xto/Xde++l38/0tJV86wm+ttHdNb/9bX7wg/zxj8nVm+ppKcEX1jTp9fLOOzl5MufP59KlSQ+IG07whQ0GaZocO5YPP8yOHfnVrxL78y0n+MJGG/J//3v6/czN5Z57bNG3nuCrGg4zNZWlpbz6apI89pjUKxB8VaPJ/Pz57NqVnTvzxBOTHhDfBjfekCwu5q67MjMz6XFwwwm+POftlVjSl9fpeKlMHYLHS98LETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB6ug6bJcJimmfQ4vsrUpAcAW1LTrD6GwySZnk6nM+kxfQ1mePi6miaDQVZWcuVKhsN0u+n1Mj2d6ekMhzl7NpcvT3qIX6XT3PyrEJictZm8aTI1viA+dy5nz+bf/86bb+att7KwkD/8IY8+mqa5eWd7S3pYtTb3bcy101n/8Pz5nDyZ06dz+nTOns25czl3Lu+9t37wyy/n0Udv3tojeMoaTdqjP3S7Y2GvWV7OqVNZWMjx4zl5Mu+/nwsXcuFCVlau/T0XFtLvZ3r6xo78mxA8VWxcnCeZmhorfDDIxYu5eDFvv52FhdXHG2/k0qX0+1+2/b59e7Zvz+7duffePP74TT29R/C029rVsuEwvV56vbEvLS1laSnvv5/FxZw4kZMn869/ZXl5/ZhOJ93u52vftSvf/3727s2dd+b++3P//Zmfz+zst/Qv+oZs2tE2Gy+Jf26bbWkpb721+lhczOuv57XXsrS0fsDol8JwOLZo37Yt+/fnzjuzf3/m5nLoUO6+OwcOfP4vHe3V3eQzvOBpg2vutyVZXs7p0zlzJmfO5M038847efvt/O9/Y8eMTrn7/bFPHjiQQ4dy+HAOHswdd+SOOzI7m+3b1w8YDjMYrBY+2gLYEgRPq6ys5NSpHD++ukR/99189FE+/DBXrowd1u2u3jCzZnY28/N54IEcOZIf/jB79mTPnuzcOXbM6JfCWuFbJfKNBM+Wt7iYV17J8eN59dUsLmZ5OZ99tulGepJbbsnMTG69Nffdl5/8JPPzOXIke/dm27bMzIwdObrTJtli0/iXEDxb3uOP529/W//wi7P3jh3Zsye7d2d2NkeO5MiRzM9nbu7a321tG3+Udwsi38guPVveT3+a559fPwkfDjM9nX37Mjubffty4EDuvXf1hLw7fiv55ya7tcJbFvlGgmcLG22M/+hH6fezf//qTtvcXO66a3VffdeusYP7/bEz8BaHvRlLera8jz/OwkJuvz1792b37rEvje6Z6Xa38Dbb9SV4WqVpsrKyPoF3vRx0nODZ8kZ32qxN4KbxLyF4KMSKBwoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQv4PpCVs6YWOxKYAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2912718037779434, 3.2843692355827065, -58.524919057903276])", "action": "('move', [-3.2912718037779434, 3.2843692355827065, -58.524919057903276])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "01657944807985eadea435806f04dd4ab98c66723fd1d2ebcac24ecda1eee9b4"} +{"episode": 5930, "episode_seed": 997951389, "split": "train", "timestamp": "2025-09-15T22:45:17.237348", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 997951389, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8423042248098723, -0.3356812219972178, -12.43029661312722])", "action": "('move', [-0.8423042248098723, -0.3356812219972178, -12.43029661312722])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJklEQVR4nO3db2hV9QPH8c85994FTkHzgZsmpSItYoFluSj7gxosVsx/IJhBtgoxoYQwkupBUFE9kMCQDAxpo6DUViZS0/6AMrSMgkofiNAsaZXMopy795zfg3Pa5Pfk18/dP2f7vF+P9E7cYdz3vt/zPed7bhDHsQB4CGt9AACqh+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIvtriWENDKpVqfRywFMRxXOtjMBXHCoJaHwTMMMJXT7EoSW+9pfZ27d1L7agBRvgqSX7Mf/+tFSu0b58mTtT8+erpSbMnflQHI3yVRJGCQF99pUOHlM/rzz/V0KAwZGKPqiL4KglDlUo6cEADA5IUBNqwIf0DUDUEXw3J8P777+rqUhCoWFRzs1paJIJHdRF8NSRVHz2q48eVz0tSR0c6nweqieCrIQgUx9q5U0GgUkn19br77lofEywRfJX8/LN271YYKoq0bJlmzqz1AcESwVdcMm/v7NTgoIJAYahly1RXp1KJE3hUG8FXQ6mkzk5JKhZ13XW66SaJ5TrUAsFXVrI+/8UXOn48Lby1VdOnq1RSyM8eVcebrrKSTTJvvqnBQUmaOlVLlkhifR61ka/1AYxnUaR8Xn19OnQoLfyGG3T77Yoi5XK1PjhYYoSvoGRZrrtbJ09KUj6v1tb0ljtO4FETBF8pcaxcTufP6+OP04l9Q4NWrkxfB2qC4CslWZY7dkyffZaO5wsXasYMRRHLdagZ3noVEcdp1QcO6OxZBYFyOXV0sDcONUbwFZEE/8sv2rMnva927lzdcUd64w1QK7z7Kujrr3X0qPJ5xbHWriV11B7vwYpI7pnv6pKkKNKECVq+XOLyO2qN4MsvqfrMGe3erVxOpZLa2tLdMpzAo7YIvlLef1/nzqXT+FWrVCgoimp9TLBH8OWXDOPbt6cPt7n2Ws2fX+tjAiRxa23ZJfP5w4f13XcKAkWR7r1XM2emu2iA2mKEL7Mk7B07NDioKNLEiVq8eOR1oLYIvpySqvv7dfBg+sott2jBAnbLICsIvpyS22l37dKPP0pSGGrRItXXs1sGWWEffPmWzod3xezfrwsXJGnGDC1fzm4ZZIhx8FFU3ufOJLtient1+LCCQEGgBQs0ezYPt0GGuL4Ti0WFoXI5HTmiLVv0229SeUb7nh6dOZPulnngAYmbbZAlfpfl4lilkvJ5nTun7du1ZYv6+jQwoM2bR/NRb8m8vb9f3d2SFEWaM0d33SWJ+TwyxCz4pOd8Xvv26aWX9OmnktTYqNmz01n4pQ7HyX987Fi6W6ZY1OrV6bYZRnhkh1PwyUn2r79q82a98076qY5r1uipp9TUJF361pZkM2yxqD170tlDGGr16vIdOVAmBsEnZ+ZhqDDUhx9q3Tr19UlSU5NeeEFtbSMD8ejG4v5+dXWlj6y75x5deaXECTwyZrwHXyymn96YDO+Fgvr6NGWK1q7Vs89q0qSRL41OHOujjzQwoEJBQ0Nas0aFAvN5ZE4Qj9ct2nGc3uB2+rTyeU2bpjhWsaht29TUNPJ0+PIV2dKi3l4Fga66Sp9/riuu4PF1yJxx+n5MSs7l9N57WrpUzz+v8+cVx8rntWGDlixRsSiVZ8Kd/MJMHm6TyymOtXKlGhupHVk07t6SSX9BoFOndN99uv9+HTmibdv0ww/pVbdiMV1YK5NkieCNNxRFimPV12vRorR8IGvGXfBBoKEhvfaabr1VnZ366y9df70++EBNTemYm8+X8cp4sj5/7pz270/PIVpadPPNI0+tBTJlHC3aJaN3b6+eeSbdrdbQoHXrtGmTLrusQt+zWFShMLJbJpfT4sWaNEkXLqiurkLfE7h0Yz/4KEqH7jDUH39o1SqdPi1JS5fq6ac1b55U5sW5iyUX4bq708+KnD49fVhl+c4YgHIa4/PO4Vl6cn4+ZYo2bVJzs3bu1K5dmjcv/ZCnytReKimX0zffqLc3feXGGzV3LrtlkF1jcyQaXpkLQ335pfbu1fr1mjpVcawHH1Rbm2bNStfQKnkje3IUe/fqp5/Sa/yrVvGkSmTaGAx++HrX4KBeflmvvqr+fl1+uR59VHGsCRM0a5aKReVyFR1nk2t8Fy7o5Mn0KfTTpqm9nc+WQaaNteCT2uNYBw/qySd15IgkTZuWLpElX0parLDkLKFQ0Ouv6+GHtXWrrr46vbsOyKwxeKfdiRPaulVbt6pUUl2dVqzQc89p9mzudAH+p7Ezwicr7d3deuIJnTghSS0t2rhRK1dK5bkffjSHlvza5BcOMi7zwf/XFbXz53XihCZP1uOPq6ND06enD4isaWqj3mgHVEmGp/TDg/bAgMIw3dk2NKQdO3TNNVq4MP1rPk9twL+UyeCTKXIYamhIPT166CG1t+uVV1QojAymw/8GwL+WvWCSOXwY6vvv9cgjam1VX5/eflunTqWL8Bf/GwD/j4ydwyc9nz2rzk69+GJ6k+ydd+qxxzRnjvTPshhzeOCSZGxKn3xW08CAbrtN336rxkZt3KiODk2ezONjgNHLWPD65w71d9/VJ59o/Xo1N0sXPakKwChkL3hp5EQ9uWdVXOAGyiOTwQ/j5jmgrLIdPICyYvwEjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8h/75beRvKVIMAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8423042248098723, -0.3356812219972178, -12.43029661312722])", "action": "('move', [-0.8423042248098723, -0.3356812219972178, -12.43029661312722])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8423042248098723, -0.3356812219972178, -12.43029661312722])", "action": "('move', [-0.8423042248098723, -0.3356812219972178, -12.43029661312722])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIXUlEQVR4nO3cX4ildR3H8e/znDNjhmEpi4RCknkh6kVmEIEuZRdJpnelYl2EbNKGsZnr7qatu2mKLu0uwnqjESKUUKDiPyQDbbuxMkgvBCW9SEQqFN1a2XPO8+tiZmcNKjR1d2Y+r9fl8Fw8A/Oe3/P7Pr9zutZaARn6I30DwOEjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAiSHnxrR/oO4DCKDn4Yquuqqvbtq2EQP6tfaPDDUMNQfV/799fdd9cpp9TDD1fXaZ5Vrmt5f+PTSY3nqqp+/7u2bVt74MGq6s86qx59tI4//gjfG7yvslb41mo6rfFcvfJKbf1B+/zn2gMP9uNxX1VPPVX33794DaxW4yN9A4dPa9V1NR7Xz3827NxVTz7ZVfVzczWZ1DEfbBuvqbVru4VrYLVa/Y/0rVVr1fdVVS++0DZtrvvuqzffrLn5bnKgqoYvnV/btvefOvsI3yccBqs8+IU5fNfV/v11xx21bevw91f7hTW8tTrxo8ONN3UXX9wdddS//V+A1WrVBr+wXZ+bq6rau7euvbYef7yqam6uJpP2oWPqq19pN/yoP+GEqlqc2MOqtzqDH4aqqr6vF/7c9uypXbu76bTm5+vAgaqqc8+dXX1Vf8GFXR3c2EOIVRj80nL9058MO3d1f3q69X3fdzWd1Zo1dfXVbd267thjazKp8VjtZFk9wS/8HgsBP/NMbdk8PPRQNxu6ufmaHKiqduml3ZYtdfrpVVXTaY2DXlDAolUS/GxWo1FV1T/+WT++dbZzV/fqa/1oXLNpVdUnThluvrn78oXd/HzNZtV1duyEWvHBLw3nhqEee6w2XTM89ce+qsbjmk7ruI8MX/9abd3ef/jYKsM54q3s4Gez6vvqunr22brtttqzp1V1C2dpqtoXzmvXXdedu9ZwDhat4OAXHuOHVrfvabt3d889V6NRdV1Np+3kj9VVV7V13+zn523X4ZCVF/xbh3O/3duu3zr86tejqkNv3a64ol15ZZ12Wldv2dsDteKCXwr4jTdq+7bhjjv7115ro3G3MJw788zasaPOO69Go5pOFxd8YMmKCb61GoYajerAgXr4ofa9q9vzz3dV3WhUs1kdf1xb/+3atKk7+ugqCzv8Fysj+KWAn3667bil3XV3VfUHn+GHCy+o67d1nzxrcThXZWGH/2wFBL8wddu3r26/vXbubC+/3I3napjVMNQZZ7QN32nfuLwvqzq8Dcs6+KV3aY88UjfdVE88UXXwBXtXsw3f7dd/q/v4KYdOzgP/2zINfumEzN/+Wlu+3+65p3v99cXUq4bPfqZuvqU755yuypF4eAeWXfBLy/Wbb9Yvf9E2bRz+8vKoqvpRDbNas6Y2b67162t+fvFiCzu8fcsr+KVn+Kf+0H54Q7v33r4WP8Fe8/N10UV144116qmLV5bhHLxDyyv4qnrppbrzztpx6/DGvn5uribTqtY+fXbbsKG75FKHZOFdWS7BL2Q8mdTll9ddd1XX13hUk0n7wFFt48Zu3bo68aRuNq2u9wwP/7/lUk/XLZ6rWbu2qqoNNZnU+V9sv9nbbdvenXhSN5nUaKx2eFeWywpfBxf51uqyy+qBB2r37rrkkvL1kvAeWkbB18Gp+4svVlWdfPKhnwDvieUV/FsZzsF7bjl+UtwrN3ifLMfgpQ7vE/tjCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIvhGD/LBTRw7sAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "67beb90e52f3627844ca3cea07b41c79afa8981cf3e08eb3711cd0912ab6e01c"} +{"episode": 5931, "episode_seed": 2496482163, "split": "train", "timestamp": "2025-09-15T22:45:18.217278", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2496482163, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.464939226302619, -4.373472602946134, -10.553520348785318])", "action": "('move', [-14.464939226302619, -4.373472602946134, -10.553520348785318])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.464939226302619, -4.373472602946134, -10.553520348785318])", "action": "('move', [-14.464939226302619, -4.373472602946134, -10.553520348785318])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJE0lEQVR4nO3du45b5R7G4dfOQAgzkwQKFA4RR4EQDVxAamgoEA1ItFwLFRK3QIkEF0AH4gIoUoA4CgjnoyCZYTIZexfL2xNFW1vJeBTbep+niFam+pTxL/9vLS8vj6bTaYAO42UvALh9BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FNpa9AG636XT252iU0WjZq+H2Gk2H3z9QwITvcu1a/vkn//6bg4OcOZPt7dmop4Rz+BYHB0ny+ed5/fW8+GJeeCHvvXf4c0qY8F12dvLRR/nllyT57rvkv6f0lDDhWwz79u3t3HtvTpzIeJzd3WWvidvOhO9y6lQ2Nmbb+L//XvZquO1M+C53350775wdX7mS2NKXEXyLYUu/uXkY/D//LHE5LIfgi0ynOXnyMHjn8IUE32I0ymSS0egw+P39JBmP7eqLCL7IcK3u5MnZX/f2kuTEiaWth9tP8HVOnZod7O1ld9dtdl0EX2dra3awv+9CfR3BFxmG+Tz4YcJTRfB1NjdnB1evZmcnMeGbCL7I/O7awTx4egi+zvb27Mq8LX0hwdfZ3MzGRmJLX0nwReZb+vE4saWvJPg6W1uzCb+3Z8LXEXyR+dtywzn8/r4JX0fwx2Q6zZUruXp19cflPPhE8HUEv7Ch8K++yoULee21XLyYJJPJchf1f8y39IktfR3BH5Mvv8zHH+f993P5crKiDd2wpY8J30fwCxva/uabjEZ54IE8/HCSVf5IyvXBex++jeAXNgT/9ddJsr2dc+dW9lHvo1Gm0/8R/NiroIZf9cKG4D/9NNNpzp7NiRO5dm01g08ymWQ8vvEc3jMwegj+mOzuZmsrTzyx7HXclPlH4ocJv6r/O3H8PKZ6YcO4fOutfPppzp9P1uAhMqdPzw52d3P1au6804RvIfhj8tRTeeqp2fHKnxPPPxK/u5u9vVnw5nyDVX9prpPpdJXffr/e/BOyQ/D0EPxihq3wd9/l4sVcvrz6s30Y4/Mt/c6O4Lus+gt01V27liRvv53nnsuzzyYresvNDa6f8P/+u9SlcHsJfjHzu24ODnLffYc/WW3XX7QbJvw6rJpjIPjFDHv4n39OkiefXO5abt58wtvStxH8AiaTbGxkZyd//pkkjzySrMeb2i7a1RL8AoZ98I8/5vffk+Sxx5a7nJsxf+jNcCD4NoJf2E8/5Y8/kuTRR5e9lJs1P4ff23MO30XwCxgq+e23XL6cjY08/viyF3Szhgk/XH9wlb6K4Bcw3Gbz5Ze5ciWTSe65J1mnc/j5oyzp4dbaBQx30T///OwLWeffw7zyTp/OeHx4Gk8PwS9gGJHPPJNnnln2Um7W9XfaDWckw/dJrsO+hGNgS39M1uqq19bW7GEYyeyRXIIvIfjF7O/np5/y++85OFj2Um7ByZO56y7BNxL8UQ2Ff/FFXn01L7+czz5L1mnOb2/fuKVfn7VzdM7hF/Prr/nggySHb2evyaw8fTo//JAkly/PnntFA7/nxfz1V0ajnDuXs2eXvZRbMB7n9OmMRhmNcuVK9veXvSBuF8Ef1TATL13KdJrz52ePiVuT8T4a5Y47Mp1mOs2ff84+40sDW/qjGs56v/02SR56KJuby17QLRiNcuFCTp3K5mYuXFj9Z/BxbAR/JMO5+t7eYfB3373sNd2aN9648SdrsjthIYJfwO5uvv8+o1HOn8+JE2t0xS7JwcHssvx47IpdEcEvYGcnn3yS6TT3358kBweH3/Cw8mzjO63NC3QVnTqVl17KJ5+s0aMvKDeaut9iQcM/oNpZB87eFnBwkP399Tp1p5wJf1Q6Zw2Z8Ec1GuXNN/PKK3n33SSzu1hgtQn+qCaTvPNO3nknH36YZJW/IhrmBH9Uk0l+/jkbG7NL9MY768Dbckf111+5dClJzp1LXKVnPZjwt24Y5l9/nckkZ87M7roRPOtA8LduHnySe+6ZBe/2VNaBl+lRffttxuPD4E141oHgj+rixUwm2drK2bPr9UA7mgn+qLa389hjefrpJJlMTHjWgjvtjmo6zaVLGY/z4IPuumNdCP6oRM4asqVfwGQy+3o5WBMmPBQx4aGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIfwDVCeHSxWdnyQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.464939226302619, -4.373472602946134, -10.553520348785318])", "action": "('move', [-14.464939226302619, -4.373472602946134, -10.553520348785318])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "bee0c490905f8d8a720e801b329eccbe8ecfeb0cdaa9d3bd44566ee6468815df"} +{"episode": 5932, "episode_seed": 358893627, "split": "train", "timestamp": "2025-09-15T22:45:18.856992", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 358893627, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.439168815013854, 6.981992563582417, 47.73894539114406])", "action": "('move', [-9.439168815013854, 6.981992563582417, 47.73894539114406])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJDElEQVR4nO3cTYjcZwHH8d/MbtIX2KbEpDSBBtSDBy+lPfhSKqWHHu3BgydBqK2K4EFEbWlPpYWCYrAUNUpvrVAKCj0LgvhSaiEUevIQYzTNxhVLGohmXv4eZrqJtsE2drPJ/j4fhuWfbDL7wM53nuf//GdmNAxDgA7j7R4AcOUIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooI/iowm2U22+5BUGE0DMN2j4EkyXSalZWMRts9DnYyM/y2ms+T5OjR/Pa3WV3NaLT8G9gagt8+i7XVuXN55JF87nP55jezsZGx3whbyMNr+8znGY9z7Fj++MecOpXvfS+f/nR+8pNMJsnbTwfwgXIOv62GIcOQ06fz+ON5/vm8+WaS3HNPXngh+/dnGDKbZTw27fNB8UjaVqNRxuPcemueeSYvvZTPfjZJrr8+u3ZlGDIaZXU143Gm0+0eKDuEGf7qMJtlZSVJfvzjfOITuf32zOeZz/OrX+VjH8ttty2nenv4/H8Ef9WYzzMMy+wXp/evvJL77suhQ/n61/PAA8t/tpj54bJY0l81Fufqk0nm82XSR4/mzTfz2mv58pdz3335/e+TqJ3/hxn+ajWfZzrNq6/mO9/Jr3+dYciNN+aLX8y3v51Dh7Z7cFyrBH8tOHIkP/hBXn89SQ4ezBNP5AtfyMrKcpPfHj7vmcfK1W2R9EMP5Ze/zMMP5+DBnDyZP/wh0+ly5T8eZzZz0Z73yAx/LZhOs7qaJC+/nJdeykMP5dChDEPOns3GRj784cRmHu+J4K8Ri6t0i+wXr7cfj/Pii/nWt3L//Xn00XzoQ8tvjUbK51Is6a8R43FWV5er98VK/uzZPPdcjh3L4cO5884cOZJz55bX6r0Dh0sww1+bFtmfPJknn8wLL+Rvf0uSz3wmjz2We++1jcelCP6atXnS/pvf5LvfzS9+kSQrK3nwwXzta/n4xy3seSdTwTVrNMowZDrNXXfl5z/Pz36WT30qs1l+9KO89tryu3l7nx+SmOF3gs2X2Z86lZ/+NH/6U77//aytJW+/RHfBNj6C3yEWb6Rd7OFPJtm1a7lv99RTefHFHDmSO+9MLtrep5Xgd5DN+XxxcPx4PvnJnDqV3bvz4IP5xjfykY8kyWSy/Dgt+niy30E2p+5FzPv359FHc8cdOX8+zzyTu+/O4cM5fTq7dqm9lhl+p3vjjfzwhzlyJOvrSXL33fnKV3L//bnxxsR77+oIfkdbnM8nOXo0Tz+dZ59Nkuuuy+uv56MftY1XSPA73ebnakwm+d3v8tWv5p57cvjw8omAMoLvsPkRWmfO5IYb1F5L8DUWv2hr+G6r2z0ArhSp47IcVBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FFnd7gFAtWFY3sbjjEZb/uMED1fCZtjDcOGP43FWVjK+gutswcMH7J1hJ5cMexjyj3/k5MkcOJC9ezMMWzvPCx4u3yLmi49Ho+XtnTY2sr6e9fWcOpXTp7O+no2N/P3veeutHDuWJ57I5z+f2SyrWxml4OHyXRz25vH6ev761wu3Eyfyxhs5cyZvvZWzZ5e3f/3rv+/qzJnkP59BtoLg4XL885/Z2Mjx4zlxIidO5M9/zl/+kuPHc/p0zp/P+fOZTHL+fKbT/31X43Hm8yt0Ji94eB8W59jTab70pTz33LLV92V1NddfnxtuWH5dW8uhQ1lby+23J8nKyhYM+uKfvrV3DzvOfJ7V1ezdm127snt3zp179+ZXVrJnT/bsyc035+abs2dP9u7NwYM5eDAHDuTAgeXBf52xb/U8L3h4H0ajTCbZvTtra5lMMpkkyb59ueWW7N+fW25ZHuzbl337Lhzs25fdu9/l3oZhueYfja7QdfjRsNW7BLCzzGZZWckrr+TVV3PbbVlby003Lb/edFOuu+7d/9d0mvn8wgb+5mb+FYj8YoKHD9J8ntlseXxx1Vc47EsRPFym+fzCVbTNeTu5Wtp+V4KHIt4tB0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+DQCTEpdw1ELJAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.439168815013854, 6.981992563582417, 47.73894539114406])", "action": "('move', [-9.439168815013854, 6.981992563582417, 47.73894539114406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.439168815013854, 6.981992563582417, 47.73894539114406])", "action": "('move', [-9.439168815013854, 6.981992563582417, 47.73894539114406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "75899566ebf202fc6dde94aeffe6c670c830155fcadfd28d62636a16184eb31c"} +{"episode": 5933, "episode_seed": 3327382946, "split": "train", "timestamp": "2025-09-15T22:45:19.513751", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3327382946, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [129.65859641472602, -24.809157150964353, -35.13201463707384])", "action": "('move', [129.65859641472602, -24.809157150964353, -35.13201463707384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [129.65859641472602, -24.809157150964353, -35.13201463707384])", "action": "('move', [129.65859641472602, -24.809157150964353, -35.13201463707384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [129.65859641472602, -24.809157150964353, -35.13201463707384])", "action": "('move', [129.65859641472602, -24.809157150964353, -35.13201463707384])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOElEQVR4nO3dX68V1R3H4d/ss48SGxIRS2LUlpZKqFD80wqaGEux9Q3oTV+rBa0SrUJto4K2pEKxNqLBEixCZO9ZvZgjwdrenT1zcr7Pc7VzbmbdfM6sWbNmpmutFZBhNvUAgPEIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHsbWWi2X1doEhxY8jK3ram2tqmqxGPvQgofxDGf1y5frxImqqvl87AEIHsYzBP/yy/XSS3XoUL34Yn3++agDGP0/DKRqrWazWizq1Km6erWuXq2LF2vHjlHH4AwPo7p6tV77/XI2q9msXnih3XPPqEcXPIzq00/bBx/W2lq1VseOdcPq3WgEDyPpuqqqt9/uqlurqtaWTx9tVdX3441B8DCqkydatVosau/e7qGHq775RzAOwcN4bt2qV08uq6q1evbZ2e77R2y9qgQP4xhuyJ09W/+8PJ/Pq6odPdp23F3LpTM8bFOvvNJaq76vu+/uH/1pVY29wVbwMIZhZe7kiY1VugMH1vb9pKuq2bgJCh5Wbthy89VX9f7ZjeIOH66HHqq+H3U+X4KHEQxhnz5dX3yx8ZdDh2ptrRYLwcO20/fVWr3+Wn35ZVXVrl31+ONVo8/nS/Awjq6r02fasET3gx/Wk09uzPNHJnhYrb6v9fX67LO6cHGYvrd9e5f331+LheBh2xnW5/94pv39Yquq2aw7cmSa192U4GHVhuD//Kd27Vqrqp0769lfrt1+6c3IPA8PK9Rara9X39d739yQ231fO3qkq3G30N/mDA8r1Fp1XV24UO++uzGJf+Lwcj4fe0ftbYKHFRrm8xf+1p8/34Ylul/9el5T3JAbCB5WaAj77Lnu66+7jeCPV000ny/Bw+oMd9pv3Kg33+qqusWifvTwYv/+KYckeFitK1fqzTc2fj93fD7+q6nvJHhYleFm+6VLdelS3XVXVdXzz087IsHDygwX7W+8UVXV9zWf11NPVY3+DPy3hjTZkSHAclmvnmxVtVjUo4/Wnj0Tj0fwsELXr9frr23ckHvuubr33qrpluhL8LAiw7z9nXfq2vXZ2lpVtWeertmslsspRyV4WJXW6uQ38/nv3dMeeWTEF9D/H4KHlRg21Z78XT/8fvLns70/ntWk8/kSPKzCsOXmypX66/nZUPhjj9X3d1e/nGxT7UDwsPmGLfSnTtW/r3etVVX/s4PL6ia+gC/BwyoMwb/+6vLGjVZVDzwwO/z4WlXNpngG/k6Ch803m1Xf15l3uqquqvbtq4MHN67qJx7YxMeHbafva22tPvqo/vHJ0Ffbv7/t3Fm3bk18AV+Ch003zOfPnKlPPqmqWl/vjh6d4CMz/9MWGAJsL7e33Ny8WVW1e3c980yV4GH7aa3m87p5s86d27hi37OnDh6s5dQ35AZbYAiwjQxflTp/vs6e3fjsxJFf9Fsh9cGWGQhsC0Pkf/mwv3ixH95Ffez49BvsbvOaathMw8n8vfdn1VXX1fq8HTu2VVbsyhkeNtGwo/batXr7dFWrvq/9jywffHDqYd1B8LBphvn85U/703/ou666rp7/zXzC99t8l+Bhk537YHblX92OHdV1dfx4dd2U77T6L4KHTTNcqH/8cd13X3fjRvV9e+KJqcf0bRbtYJP99rd14EC99VYtFt2uXVOP5tu6tnVmG7DtbIUHZu7kDA+brLVaLqvvazaraT878V3O8BDEoh0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+Q9pCoD3titF0QAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOElEQVR4nO3dX68V1R3H4d/ss48SGxIRS2LUlpZKqFD80wqaGEux9Q3oTV+rBa0SrUJto4K2pEKxNqLBEixCZO9ZvZgjwdrenT1zcr7Pc7VzbmbdfM6sWbNmpmutFZBhNvUAgPEIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHsbWWi2X1doEhxY8jK3ram2tqmqxGPvQgofxDGf1y5frxImqqvl87AEIHsYzBP/yy/XSS3XoUL34Yn3++agDGP0/DKRqrWazWizq1Km6erWuXq2LF2vHjlHH4AwPo7p6tV77/XI2q9msXnih3XPPqEcXPIzq00/bBx/W2lq1VseOdcPq3WgEDyPpuqqqt9/uqlurqtaWTx9tVdX3441B8DCqkydatVosau/e7qGHq775RzAOwcN4bt2qV08uq6q1evbZ2e77R2y9qgQP4xhuyJ09W/+8PJ/Pq6odPdp23F3LpTM8bFOvvNJaq76vu+/uH/1pVY29wVbwMIZhZe7kiY1VugMH1vb9pKuq2bgJCh5Wbthy89VX9f7ZjeIOH66HHqq+H3U+X4KHEQxhnz5dX3yx8ZdDh2ptrRYLwcO20/fVWr3+Wn35ZVXVrl31+ONVo8/nS/Awjq6r02fasET3gx/Wk09uzPNHJnhYrb6v9fX67LO6cHGYvrd9e5f331+LheBh2xnW5/94pv39Yquq2aw7cmSa192U4GHVhuD//Kd27Vqrqp0769lfrt1+6c3IPA8PK9Rara9X39d739yQ231fO3qkq3G30N/mDA8r1Fp1XV24UO++uzGJf+Lwcj4fe0ftbYKHFRrm8xf+1p8/34Ylul/9el5T3JAbCB5WaAj77Lnu66+7jeCPV000ny/Bw+oMd9pv3Kg33+qqusWifvTwYv/+KYckeFitK1fqzTc2fj93fD7+q6nvJHhYleFm+6VLdelS3XVXVdXzz087IsHDygwX7W+8UVXV9zWf11NPVY3+DPy3hjTZkSHAclmvnmxVtVjUo4/Wnj0Tj0fwsELXr9frr23ckHvuubr33qrpluhL8LAiw7z9nXfq2vXZ2lpVtWeertmslsspRyV4WJXW6uQ38/nv3dMeeWTEF9D/H4KHlRg21Z78XT/8fvLns70/ntWk8/kSPKzCsOXmypX66/nZUPhjj9X3d1e/nGxT7UDwsPmGLfSnTtW/r3etVVX/s4PL6ia+gC/BwyoMwb/+6vLGjVZVDzwwO/z4WlXNpngG/k6Ch803m1Xf15l3uqquqvbtq4MHN67qJx7YxMeHbafva22tPvqo/vHJ0Ffbv7/t3Fm3bk18AV+Ch003zOfPnKlPPqmqWl/vjh6d4CMz/9MWGAJsL7e33Ny8WVW1e3c980yV4GH7aa3m87p5s86d27hi37OnDh6s5dQ35AZbYAiwjQxflTp/vs6e3fjsxJFf9Fsh9cGWGQhsC0Pkf/mwv3ixH95Ffez49BvsbvOaathMw8n8vfdn1VXX1fq8HTu2VVbsyhkeNtGwo/batXr7dFWrvq/9jywffHDqYd1B8LBphvn85U/703/ou666rp7/zXzC99t8l+Bhk537YHblX92OHdV1dfx4dd2U77T6L4KHTTNcqH/8cd13X3fjRvV9e+KJqcf0bRbtYJP99rd14EC99VYtFt2uXVOP5tu6tnVmG7DtbIUHZu7kDA+brLVaLqvvazaraT878V3O8BDEoh0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+Q9pCoD3titF0QAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "54bedf2512cd054217b98ca8fe9e39e8e2addd8907da7611cb900270296fb156"} +{"episode": 5934, "episode_seed": 2592220716, "split": "train", "timestamp": "2025-09-15T22:45:20.146875", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2592220716, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7221331432235166, 3.6655560507226794, -50.440268772390404])", "action": "('move', [0.7221331432235166, 3.6655560507226794, -50.440268772390404])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7221331432235166, 3.6655560507226794, -50.440268772390404])", "action": "('move', [0.7221331432235166, 3.6655560507226794, -50.440268772390404])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7221331432235166, 3.6655560507226794, -50.440268772390404])", "action": "('move', [0.7221331432235166, 3.6655560507226794, -50.440268772390404])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "3d7bd7337b2150a7e5c3d2c3e59d9b48a3fcf84aef8da978efcd36a3db5cf8c1"} +{"episode": 5935, "episode_seed": 4200099656, "split": "train", "timestamp": "2025-09-15T22:45:21.130189", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4200099656, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.388713963736033, 2.2007571647658772, -16.800212581802214])", "action": "('move', [-2.388713963736033, 2.2007571647658772, -16.800212581802214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.388713963736033, 2.2007571647658772, -16.800212581802214])", "action": "('move', [-2.388713963736033, 2.2007571647658772, -16.800212581802214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.388713963736033, 2.2007571647658772, -16.800212581802214])", "action": "('move', [-2.388713963736033, 2.2007571647658772, -16.800212581802214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "9125ec80050cb1f0c0222f937555d59d590816b0098ceefe34a3878bd23683c4"} +{"episode": 5936, "episode_seed": 3131000057, "split": "train", "timestamp": "2025-09-15T22:45:21.791916", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3131000057, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.87775297880839, -7.799411591663644, -21.06703022221949])", "action": "('move', [12.87775297880839, -7.799411591663644, -21.06703022221949])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKIklEQVR4nO3d3Ysd9R3H8c+cs9EQWzURn8DGKG5RUbHxoVpLivGmREqMIFYv/GO87j9QL71VcuEDKVIUTYxSbagkQqsoZkOD0TTaqjEbd8704kyTporubk6yZ/t9vVgCGQYyLPPO7ze/mTmn6bouQA2DlT4A4PwRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgj9Xui5dt9IHAWeaWekD+L/VNCt9BPAtRvhz5Xe/y2uv5euvMxqt9KHAfzSdeedEdV2aJu++mzvvzIkTufrq/P73+c1v0rYZDlf64CjPCD9hbZuuy86dmZ9PkqNHc/JkEuM8U0HwEzYYpGnyxz/2K3a3354tW5IY3pkKgp+k0SiDQQ4cyPvv91t+9rNcfnkWFjLwm2YKOA0nqW2TZNeuHDmSJOvW5f773Z9jigh+Yroug0HaNnv39lfs11yTBx5IzOeZGoKfmNEow2EOHMi+ff2W8Xy+bc3nmRYevJmY8bz9rbcyN5emyXCY7dsTT+AwTQw9k9F1GQ4zP589e/rCL7kkDz6YxPDOFHEyTsb4eZtDh/LKK/0q3ZYtufjifjtMCcFP0v79mZvLBRckyaOPWpxn6gh+Msbr87t2JUnb9jfkjO1MG8FPwHgk/+yzPP98miZtm23bsn59YsWOKSP4CRhXvW9fPv44a9YkyfbtWbPGlJ6pI/iJefbZNE2++SYbNuSOO5IInqnjPvxknDyZF17oC7///mzcmJjPM32M8GdrfBPulVfyySf9LfetW3PRRWlbwTN1BH+2xmE/+2zaNqNRLrusn8/DFBL8WRm/MHP8ePbs6bf8/Oe59dZ+O0wbZ+VZGb8Ys3t3Dh/ut9x9d9aty8KC+TzTSPBnZfwa7K5d+de/kuTyy/v3YQ3vTCcn5vJ1XS64IF99lbff7rfccEPuvbf/3BuYQk7M5Rt/XuXevXn33SRpmtx3X4ZD6/NML8GflabJm2/m88+TZN267NiR+Hwbppjgl2k0ysxM/vnPvP56P55fc03uusv6PFPNublM44fq/va37N7db9m2rX+QHqaW4JepadJ1+dOfcvx4P4d/5JGVPib4IYJfjlPP2zz/fJIsLGTTpmzenHh+nukm+OU7fDi7d2c4TNPk4Yf7D7qBaSb45RgP46++mq+/znCYrsuDD/aTfJhmgl++Z57pX4Cfnc1NN6300cAiCH6ZPv44r77aj+rbtuWKK1b6gGARBL9k4xfgn3su8/NpmgwG2bIlw6EXZlgFBL9k44+a37kzSdo2P/1pbrstsT7PaiD4pRnXfvhw3nmn33LvvbnuOl8gx+rgJF2a8YsxL76YY8eSZDDIL37hhRlWDcEvzfjG20sv5eTJJLnuuvzqV4kXZlglBL8Eo1HWrMnBg9m/v99yyy2Znc3Cgvk8q4PzdAnaNkleey0ffZQkMzPZujWJb4xk1RD8Eozn7Xv3Zn4+SS69NA89dHo7TD/BL9Z4HX5uLm+80W+55ZZs3OgDrVhNnKqLNV6uO3AgBw70Q/qOHR6eZ5XxVVOLNX6W7g9/SNtm7drMzGT7dpfurDJG+EUZL8sdP56jR9M0OXEimzfn2msTD9ixqjSdWemijUaZm8ubb2bPnvzyl/ntb1f6gGCJBL9MbWtxntXHNfzSjEZ96mpnNTLCL8f4d+bqnVXHCL8cUmeVskoPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMjMSh8AVNV1p39Go8zMZHDOB2DBw/nVthmN0nXnp/D/0XRdd57/SahiPHonaZo0zXfscPBg5uZy+HD+8pfs2JG7707bZjg8d0dkhIez0HXfXfLYtzvvuuzcmbfeyocf5siRfPppjh7NF1/kxIlcdZXgYZqcGrFPjdvfOScfjTIa5fPP8957ee+97NuXe+7J44+nbTMY5Kmn8tJLZ+y/dm0uvTQ33JDkXE/yBQ+LMBqlbb/jqns06sfwpsmXX+a55/LnP+eDD7J/fw4dyjff9Lu9/34efzyjUYbD3HVXPvggs7O58cbTPxs2ZGYmSf/nOeMaHpbis8/yj3/k6NEcO5a5ufz1r3niiWzenK7LsWO5+eZ88snpnTdsyJVXZsOGbN2aJ5/s5wXz81m7dqUO3wgP32tc6cGDefrp/P3vmZvLoUM5eDBfftnvsH59Nm9O2+ayy/LrX+fIkVx/fa6+Ohs35tpr85OfZNOm/rJ8PBdYu7a/D3dqavA9qwCTZoSH7zVeRXv55TzwwBnbf/zjzM7m+uvz2GN5+OH+/4VPP82FF+aSS87Ys+v6y4FTfz2Phf8PIzx8r3Gcmzb1Vd92W2ZnMzub9evzox/l4ouzbt3p3a64IknaNm3bD92DQZrmjCvzlas9RnhYlK7LwkIGgx+4ZzYaJed7lr4kgocl+u/HabLCI/ZSCR4K8bYcFCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyL8BTQA5CZ6YSisAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTElEQVR4nO3df2hV9R/H8dc999451s9t/o7KpEFURI4KiaAokP4Ia5Fm+2MUXpRifyRFhH8WJEFFGlGN3CJIJFNjY2X7Q+qv/ugHQgS6MNykaG1ptJnb7vnRH+d8XbN9LTG3PK/ngyHoPeCB6/O+P+dz7r0WkiQRAA/BXJ8AgNlD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4/L0wVBTN9Ung31BIkmSuzwH/aXGsIJCkKFKxONdng3PDhMeZJImCQFu26MABFYuK47k+IZwbgsf/FYYqFPTaa9q8WQ88oO5uBQHNX9hY0mNm1arKZfX2at06/f674lhLl6q7W83NimPW9hcqJjxmEMcql3XokJ5+WmNjKpclqVLRihXUfmFjwuN06b+IEyd0//3av181NZqcVGur3ntvrs8M54zgMU2SZBt1lYq2b1exqCjSLbfok09UXy9JhcJcnyLOAUt6TJPW/tJL2r5d5bKiSEuWqKtLDQ0StV/4mPCYkt5p7+nRmjWqVpUkKhT0wQdqaeEmfE4w4ZFJkz54UO3tmpjINupefJHac4UJD0mKYxUKOn5c992nzz/PNuoqFXV0SP9b5yMHCB5KEsWxqlWtX68dO1QqKQx1++368EM1Nkqi9vzgmXSXvuAXi9q6VTt2qKZGYailS9XVpQULJGrPFya8u/SzMd3dWrs2+1RcsaiPPtKqVVMfm0Fu8HxaS5P+9lutX6+JCQWBgkDbtlF7bvGU+kqTHh5Wa6tGRjRvnqpVPf64Nm7Mbsghf1jSm4pjxbHGx/Xoo9q9O9uou+su7dqVvceG8Z5LPKuO0hf5Ukkvv6y9e7ONumuuUWen5s/nJlyeMeEdpYv5XbvU1qYoUhiqrk69vbrzTt5jk3O8kttJa//yS1UqGh9XHCtJ9Mor1G6B4L2ky/WhIbW16bffVFOjKNKTT2rDBiUJtecfS3oj6TvqJia0bp16erKNulWrtGeP6uokPgxngAlvJJ3hzz+vnp5so+6GG9TZqYsu4j6cCya8i/T6/J13tGGDCgWFoebP1+7duuMOLt2NELyFMFSppE8/1erVGh3N7rq99ZYqlezLKmGCJX3+JYlKJR05ovZ2jY6qpkZxrE2bVKlkX1YJH0z4/ItjTU6qpUX79qlcVrWq1au1d68KBa7b7TDhcy696/7ss9q3T6WSqlXdfLPefpv30pniac+zMFQQ6I03tHVrdsv9iiv05ptasCD7ihu4YUmfW+lG3ccfa+1anTghSUGgzk61tbFR54sJn09xrFJJ/f166imNjammRkmizZvV1qYwpHZfTPgcSp/SkyfV0qK+vuwbKR9+WDt3Zo+ymLfFhM+hNOlNm9TXp1JJk5NasUKvvz71EGwRfN6k2/KvvqqODpXLCkMtXqyuLjU2UjtY0udLulHX26s1azQxka3t339fDz3E+2chMeHzJN2oO3RI7e06eVKlkpJEL7xA7ZhC8DkRx5L000/auFFHjqi2VpOTeuwxPfMMK3lMIficSL/ZYudOffaZymWNj2vlSm3ZMvUQIILPjSBQHKulRU88oWpVCxeqq0uLFmUPASk27fIjXbqHobZt04038p9JYAYEnyt/Lpza8VcEnzfpnGejDjMieMAIaz7ACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4yU5voEAFdJMvUTxyqVFJz3AUzwwOyKIsWxkmR2Cj9NIUmSWf4rARfp9JZUKKhQmOGAgQENDurHH3XggFpadNttiiIVi+fvjJjwwDlIkplLTv218yTRnj364gt9/72GhjQ8rJERjY5qfFyLFxM88F9yamKfmtszrsnjWHGsX39Vf7/6+/X111q5Uq2tiiIFgTo61Nc37fjaWl1+ua69VtL5XuQTPPAPxLGiaIar7jjOZnihoLExdXfrq690+LC++UZHj6pazQ777ju1tiqOVSzq1lt1+LCamnTddVM/DQ0qlSRlv543XMMDZ+P4cf3yi0ZGdOyYBgd18KDa2tTcrCTRsWO6/nr9/PPUwQ0NWrRIDQ26+24991y2LpiYUG3tXJ0+Ex44o7TSgQG9+65++EGDgzp6VAMDGhvLDqivV3OzokiNjbr3Xg0NaflyLVmiq67S1Vfryiu1bFl2WZ6uBWprs/twp5YGZ9gF+Lcx4YEzSnfR9u/XPfdM+/NLLlFTk5Yv1yOP6MEHs9eF4WHNm6fLLpt2ZJJklwOnfjuLhZ+GCQ+cURrnsmVZ1TfdpKYmNTWpvl4XX6xLL1Vd3dRhCxdKUhQpirLRHQQqFKZdmc9d7WLCA/9IkigMFQR/c88sjqXZXqWfFYIHztKf306jOZ7YZ4vgASN8Wg4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwBy0a4VdXw9L4AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.87775297880839, -7.799411591663644, -21.06703022221949])", "action": "('move', [12.87775297880839, -7.799411591663644, -21.06703022221949])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ8UlEQVR4nO3dS4idd/3H8c/MmaShF5ukoHVRE6sD1UrASoMLN7ZU4kKkRZEGrYuCUETrBcUEWtoG60JLRYoUXbSIlApe8LJoxRu4cCHVQkAkocpMbKEmvYgj1M6cc/6Lc/4zSf/+a6vNnKSf14vZZHgWT4Z5z/f5Pee5zI3H4wAd5me9A8DmETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwtRqOMx7PeiVkTPBWGw8zPZ25u1vsxa4LnVW48znCYwSBPPJHjx6ffqSV4XrUmYc/NZTDIAw/k6qtz660ZDjM319v83Lj2v86r12iUJPPzSfL73+fAgfzyl3n++QwG+fGP8973ZjwuPbw34XlVGY+zupr5+czPZ3k5n/989u7Nww9nbS1JhsPcd19v7UkWZr0D8IqZnIffsiVPPZXvfCdf+lL+8pcMBllYyNpaduzI9dfnM5/prT2C51VjcmYuyfe+l3vuya9+lSRbt+b555PkAx/ITTflqquSVE94a3jObifXe/hw7rgjP/lJnnsuW7ZkdTVJ3v72HDyY970v55yT1dUMBtO1fSfBc7YajzMaTaf6M8/kzjtz//05cWLa/3ic7dtz4EBuvDEXXZQka2tZqD+iFTxnpfULaVZW8oMf5JZbsrSUJINBhsNccEHe//4cOpTdu5NkNMrcXO9h/MkEz1lmch5+69Yk+fnP8+Uv5+GHk2wcw7/73TlwINdcs7G91NcJnrPJaDRdgT/6aO69N9/8ZkajjTNze/bk4x/PjTdmMNjYkpMJnrPD+qBeWclXvpL778/S0vTz9rW1nHdePve53HBD3vjGU9b2vIDgOdOdPKsffDCHDuUPf0gy/XQ9yf79OXgwl1+eJKurWVhwDP//EjxnrsmFNJNZ/cgjOXgwP/tZRqON1N/xjnzxi7nmmszPZzzOeOww/t8QPGeo9U/Rjh7Nvffmq189JfXFxXzsY/nUp6bbODP3EgmeM87khtaFhfztb7nvvnzta/nznzeW69u35yMfyWc/m127Nu6H4yUSPGeW9Vn94IP5+tfz618nJ10h+8EP5pOfzLvelbiQ5j8ieM4IJ8/qw4dz66156KFTrpB929ty6FDe856ce+70nnbL9f+A4Jmx9QP4JCdO5K67cs89WVnZeEzFjh05cCA33ZTzz08M9v+O4Jml9Vn97LP54Q9zyy05dmz6jJq1tVx4Ya69Nrfdll27klixvwIEz2yMx1lby5YtSfLQQ7n77vz0p8lJy/V9+3Lzzdm3b7qxzl8RgmcG1q+lOXw4d92VBx7I6urGcn3Pntx8cz784WzdmrW1DAZqf8UIntn4xz9y55359rezvDw9qh8Oc955+cIX8tGP5pJLEsv100DwbLbV1Xz3u7ntthw5kvzvFbILC7nuutx+ey67LInBfroIns0zWYofPZrLL59e9D65bG7v3tx++3S5nrjR7TTyc2XzTCb24mI+/ekkWVvLW96Su+/Ob36zcXIuUftpZMKzqSa/bo8/ng99KFdemU98Im96k/teNo/gmYHhMMeP5+KLEze0bi7BMzMG++bzw2Y2Tn4bFJvGhIci/sBCEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEQ8BhhmZPABk8jV5FfbpfzyA4GFzDYcZjTIeb07hL+ABGHDaTKZ3krm5f/3UvqWlLC/niSfy6KO59trs3ZvhMIPB6dsjEx7+Cy/+1rv/2/l4nO9/P7/9bf70pzz5ZI4fz4kT+fvf89xzufhiwcOZZH1ir8/tf3lMPhplNMqzz+bIkRw5kt/9Lu98Z/bvz3CY+fl84xvT92au27Yt27fnzW9OTvtT/gQPL8FoNH2L/QuCHI2mM3xuLisr+dGP8sgjeeyxHD6cY8emL8dMcvRo9u/PaJTBIFdemccey+JiLrts42vnzulr9E7zy/Ss4eHleOaZPPVUTpzI009neTl//GNuuCFXXJHxOE8/nbe+NX/968bGO3fmda/Lzp256qrcccf0uOCf/8y2bbPafRMeXtSk0qWlfOtbefzxLC/n2LEsLWVlZbrBjh254ooMh7noouzblyefzKWX5vWvzxvekF27cskl2b17uiyfHAts2zb9HG790GAT38JhwsOLmpxF+8UvcvXVp3z/gguyuJhLL8311+e666Z/F44fzznn5MILT9lyPJ4uB9b/Obv37Jjw8KImce7ePa16z54sLmZxMTt25Pzz85rX5NxzNzZ77WuTZDjMcDgd3fPzmZs7ZWU+07dqmfDwEozHWVvL/Py/+cxs8j6dzT1Kf1kEDy/TyZfTZMYT++USPBRxtxwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU+R97cY8H/FBNZQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.87775297880839, -7.799411591663644, -21.06703022221949])", "action": "('move', [12.87775297880839, -7.799411591663644, -21.06703022221949])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "3bfa9923ba83aa66c34fb1149bc2756ec11761be7d80fc96099cba585bfb7522"} +{"episode": 5937, "episode_seed": 2626799891, "split": "train", "timestamp": "2025-09-15T22:45:22.426032", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2626799891, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.356349197052979, 2.509605440382177, 26.499644365743638])", "action": "('move', [-4.356349197052979, 2.509605440382177, 26.499644365743638])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.356349197052979, 2.509605440382177, 26.499644365743638])", "action": "('move', [-4.356349197052979, 2.509605440382177, 26.499644365743638])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.356349197052979, 2.509605440382177, 26.499644365743638])", "action": "('move', [-4.356349197052979, 2.509605440382177, 26.499644365743638])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "c400566727975b9ba8eff8a374c7173ddb95733b5b6373910273ce2530c6a1c8"} +{"episode": 5938, "episode_seed": 1186436734, "split": "train", "timestamp": "2025-09-15T22:45:23.404110", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1186436734, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9298422610587197, 4.234636789991302, 19.452952023327004])", "action": "('move', [0.9298422610587197, 4.234636789991302, 19.452952023327004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9298422610587197, 4.234636789991302, 19.452952023327004])", "action": "('move', [0.9298422610587197, 4.234636789991302, 19.452952023327004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9298422610587197, 4.234636789991302, 19.452952023327004])", "action": "('move', [0.9298422610587197, 4.234636789991302, 19.452952023327004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "6273d49e041263b7f374e32ef84133ae1321b500518ecf621b2edd7c41c43c43"} +{"episode": 5939, "episode_seed": 4064259978, "split": "train", "timestamp": "2025-09-15T22:45:24.048698", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4064259978, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.946171696117363, -15.016383612152337, -35.24676590626138])", "action": "('move', [-14.946171696117363, -15.016383612152337, -35.24676590626138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.946171696117363, -15.016383612152337, -35.24676590626138])", "action": "('move', [-14.946171696117363, -15.016383612152337, -35.24676590626138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.946171696117363, -15.016383612152337, -35.24676590626138])", "action": "('move', [-14.946171696117363, -15.016383612152337, -35.24676590626138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "4c9354d5b09c55d90e40d269a492c447dfc8e397d88977a97582d8a981fbcc8a"} +{"episode": 5940, "episode_seed": 2943368268, "split": "train", "timestamp": "2025-09-15T22:45:24.697217", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2943368268, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [130.6500556943129, 7.9675065877607985, -26.021756707864636])", "action": "('move', [130.6500556943129, 7.9675065877607985, -26.021756707864636])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [130.6500556943129, 7.9675065877607985, -26.021756707864636])", "action": "('move', [130.6500556943129, 7.9675065877607985, -26.021756707864636])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [130.6500556943129, 7.9675065877607985, -26.021756707864636])", "action": "('move', [130.6500556943129, 7.9675065877607985, -26.021756707864636])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJjklEQVR4nO3cT4icZwHH8d/u7KZZ0xZMsIdIQcEcNErBKlSqglaDTVEDRQv1IBQRoWjBY29eSkEoSK0XG6z0YoVI68GkGLGKCvFgrCexzaWkhyok1DbZbHZ2xsO8Jpv6j6zdJNvf58Mcltl3lnd25/s+z/vOMzs3nU4DdJi/2jsAXDmChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKCZ8uYTjOdXu2d2OIEzxYwnWZtLXNzmZu72ruyxQmea9pkktXVzM1lNMp0mhMn8tBDOXLEaL9Bc1O/Nq5Jk0nW1rK4mCTLyzl2LE8/ne9/P2fPZt++PPtsplMD/mUTPNec6TSTSUajJDl9Oj/9aZ55Jk8/nek0o1FGo0wm+dnP8ulPZ21t2GyzdmL9EeUNZxRb83izcLV3AAazoWeW1WiUkyfz+OM5ciTHjiXJ/HxGo4zHWVvLBz84tLaJxc124r9vsAEXxtc3HDs2/AMvkxGeq282lF54wT//fB59ND//eV56KUnm5zOZDN/65CfzwAO57bbcdNNm7s38fP785/zoR7nxxiwt5W1vy/bt2bUrt92W669PknPncupUbrghS0tZ2Eqj5lbaV95iZrPmZBhKX301v/99Hnkkv/xlVlaSf6Y+mWTXruzbl29+M7fcMpzVb6JZ8MeP51vfuuT+m2/Os8/mve9Nkt/8Jp/7XBYXM5lk27Zcf/1wu+66PPhgPvOZJFldzfe+l1deyc6dWVrK0lJ27MiOHdm+Pbt3533vG04KXn89Z85kMsnb357t2zf5uQmeq2Q8vjhrPnEiv/pVHnssf/hDkszPX0z9Ax/InXfma1/Lu989PPAKzX937cqtt2YyycpKJpMsL+dd77oY5Hic5eWsrmY8TpJTpy4+8OTJ4YvXXsu3v52XX/43P/xjH8uvf53xOIuLefjhfOc7mU5z8GDuuSfj8aZOGQTPlba2lmR4Vf/udzl8OE89lRdeSJLFxYzHwwz/zjuzf3/uvTc7dybrpv2bnvpsz/btyyc+kXPnhtuZMxmN8s53DtvccksOHszCQs6ezfJyVlayvDxs+eEPD9uMRjlwIH/5S9bWsryc8+ezspK1tZw+PRy9ZoeuU6fy+utJ8te/Ds9zMzmH5wp5w8j8k5/k0KH84hd55ZUk2bYt588nydJSvvSlfP7zueOOLC0lyXic0WgrXhFPVldz7lxWV3P+/MXba69l587s2TNM6f/4x7zwQv7+93z849mzZzih2DSCZ3PNVshceA2fO5cnn8wPfpA//SlnziTJaDSM+TfdlPvvz4ED2bt3mOqvrmZh4eqlPktjfSAXnsZ0Okzm1285s7CwqcX+nwTPZpmdhM8myJNJTp7ME0/k4MGcPHnJvHVxMXv25IEHcvfd2bVruHMLj+rr/et6wAvznAsHhdmvabbGYPOPFILnzbd+kdzZs3n++fzwh3nyyZw9m6wb0t/xjtx6a77yldx99yWPtWZ+8wieN9P61P/2txw9mkOHcuhQkszNZWEhq6tJsmdPPvWp3HtvPvrR5D+sRmEzCJ43x/pz9RdfzFNP5fDh/Pa3SYbz8FnqH/pQ7rknd901vJ89Hg9vwnFlCJ7/yxtWlB8/nscey3PP5cSJJMO699lLbP/+3HdfPvKR7N6dJKurw2pZriTBsxGzRXLz80PtKyt57rk88kiOHcurrybJ3NzQ+Y4d+cIXcv/92bv34tts/3OhOptE8Fy22f+imM3DX3opR4/mu9/N8eOXbDM3l/e8JwcO5Otfz803D3fOLs6bwF9FgmeDjh3LkSN5/PFhLenCwvDO9HXX5fbbc+BAvvzl3HjjsPEV/DwY/43guQyzM/bDh/PjH+eZZ3L6dLJukdwNN+SLX8xdd+Wznx3eft/Ez6uzIdbScxlmwR89mieeSP45qp8/n92789WvZv/+YSH5dDosklP7tcYIz2U7cSJ792ZlJXNzef/7841vZP/+4dr77L9NvhUWyb1FCZ6NuO++vPhiHnwwd9xx8QPqa2sXr9tzbRI8l202Y9+27ZJ7dL4lCJ4Nsuh9K3LRjo1Y/4lXthB/NDbCwL5FCR6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6K/AMgQ0UFl8/1HQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFnUlEQVR4nO3bQW4bZRiA4c92gMYO7Y5zsClHYsVtuBhXQOIAZQGxk9jDwqEhUQuVgAT0Po9+Kf+MR9Zk8Y5m/pFXy7IM0LB+6RMAno/gIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQi5e+gTgP+d0epivVk8n/2urZVle+hzgv25ZZlkeXQjm8SXgyeXgzzdfkODhkbu7+eGH2Wxmu53Ly4ex2bz0mf0TBA/3lmVWq3n3br7+evb72Wzux8XFw/zVq9nuZvfqdPnF3W633n653l2tt9vZbme3myeT83y3m8vL2e3m889f+j/0DA9PHI/z449/edR65rOZR3fqq9WfjfV6Ljan7avT7nLZXq12ry/eXw5ev567u/n223n7do7Hf/dWQvDwyN3d+e8yc775XT0J+3dPd56f8x8+Xs1qfX/Qef+yrN/9/IH3YpvNHI/zzTfz9u2cToKHZ3FeWru6mu+/n5vD7H897vfr68McblaHwxwOc3MzH5vcz/fL4TA3t6vTaZZlWY7Lp7z5Pq8FPs/CnuDhkd1uvvtuZlYzn33wgMNhbm/vC38/HjYPq5vbORzm9mZ13rk/zPX17Pdzff0w3m/u93M8zk8/zZs3M/9+9hbt4JFlub+rf3J/vl4/PJD//e9/P47HOR7nl1/mq6/m6upvffOnEDx8kj+G8rH5Bz96snr3sgQPz+djtZ3fCD7D5UDwEOLHMxAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyG/AaQ342fxHc/2AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "817d37ed043b296a731ed5a33397c6a5a05350a9086174c77720868e445fde03"} +{"episode": 5941, "episode_seed": 1859276511, "split": "train", "timestamp": "2025-09-15T22:45:25.340570", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1859276511, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.552750043687932, -1.3643122866135675, 41.786288426387465])", "action": "('move', [6.552750043687932, -1.3643122866135675, 41.786288426387465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.552750043687932, -1.3643122866135675, 41.786288426387465])", "action": "('move', [6.552750043687932, -1.3643122866135675, 41.786288426387465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.552750043687932, -1.3643122866135675, 41.786288426387465])", "action": "('move', [6.552750043687932, -1.3643122866135675, 41.786288426387465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "7af3f1602e675effe651e372a98e6cef6fd70b83b0f0ddec15e97e7f17c883e9"} +{"episode": 5942, "episode_seed": 2224223851, "split": "train", "timestamp": "2025-09-15T22:45:26.346380", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2224223851, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7343123975377515, 0.7004690430481769, 33.06281426255089])", "action": "('move', [-1.7343123975377515, 0.7004690430481769, 33.06281426255089])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7343123975377515, 0.7004690430481769, 33.06281426255089])", "action": "('move', [-1.7343123975377515, 0.7004690430481769, 33.06281426255089])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ2ElEQVR4nO3cXYidd4HH8d85M5kUWVrjy4WxYJQKZbVERW0l2hStbZQGg/iWbNFcFBs0F7sYLLIURHPhhTeKccmU2gpuqFqhYmKzssEghViD0qWBFrxp2gas1RZrKyQ5M2cvzjGNqVZq2szE3+dzNQzPc+aBM9/5v5znmcF4PA7QYbjUFwCcO4KHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIrNLfQGcP06ezHicJMNhZv3mnJcG48lbCBTwd5q/Z3Exw2HG4+zcmcOHc+JErroqN92UwWCpr4wXTPD8PcNhRqNs357du8fJ4PLLs3FjBoOMx5o/79i043mNx3niiXzqU9m9O0n+7frR//zvwpvelMVFtZ+PBM/fNhplMMjnP589e5KMt904uO2W2Yv+ZSaLJxaGCwtLfXm8cILnrxmPs7CQ4TBJNm/OmjXjf/+PwX/tuvW/L7j5Pxd//evh3IrMzGRhIYuLS32pvBB26XmO5yzOF//v/uFl//rwo8P1V+aho4NLL82VV2br1rzrXc9zEsuREZ6/NFmcHz6cHTumw/dolLWXZTizb28eOjq44II8+GDm57NxY66+OnfemZMnk0xrX1yMEWQ5s0vPn43HWVzMzEwOHcrHP55HHkmSr341GQwXFjIcDmcGq1fnt7+dHv773+fAgRw8mDe8IZ/5TD72saxePV0EnDyZmZnp1ywrpvQk+fOifXY2+/dn69Y89lhe/vJ8/eu5/vqMxxkOJx/GP/10vv3t3HFH7rsvTz+dZLqST3Lhhfn0p7NpU9761rzsZYnslyXBc1rtd9yRz342TzyR1avzrW/l2mtPX5qfvkr/4Q9z113Zvz+/+U2SzM1lNJquBj784XzoQ9mwIa9+dZKMRhkOZb9cCL7eqY7n57NjR/74x1xySW6/PevWZWEhMzNnHDtZ10++/Ytf5MCB7NmTI0eSZHY2i4vTA664Iu9/fz75yVxyyfTECRt7S0vwJEl27syXv5wTJ/KWt+T227N2bU6ezIoVf/XYyYQgmT5B8+ijOXQo3/xmDh6cHjAcTrN/3euybl22bct73vPs6ZOJgPKXhJlWscXFnLp75g9/yIkTefe7c+edWbs2o9Hfqj3JYJDZ2czOTj+Hv/jifPSjufvu3HtvtmzJqlXT2geDHD2aPXty7bVZty7f/36eeipJhsMMBhmN7OcvASN8q1Mz+cm8/U9/yvx8Nm3KmjXPnck/vzNG7Eceye7dueuuPPDAtPxTA/6aNdm+PR/8YC69dHq8jb1zTPCVJnvujz+eo0fz9re/WK86+VWalPzMM/nOd/KjH+XgwTzzTJKsWDH9xP6ii7JlS667Lu97X1auTJLRKDMzJvnnguD7TMb2J5/Mli05ciS33Zarr55ux01m22f98pMpwuSBup/8JHffne9+d7qffyr7mZls2JAPfCCf+ERe+crE2v6cEHylxx7L5s356U+T5CtfyU03veh3xo7HGY0yOzt91QceyIED2bUrDz6YZDqHn8zz3/zmXHNNtm3LG9/47Lmxn//SEHyTyXv90EPZvDn33pvBIDffnC98IXNzL9Ey+vTRPsmTT+aee/K1r+Wee3L8eHLa8n7Vqqxfn899Lu98Z+bmpue+SHMOniX4GpN6fve7vPe9uf/+rFyZnTuzY8c5+Mnj8XQCcSrdX/0q3/hGDhzIww8nmU7+Jy6/PNu356qrcvHF06ue3O8r+xeF4GtM3ujjx7NjR773vXzpS9m27Rw/43bGXP3Ysdx6a/bvz6FD0+/PzGQ0SpLXvz5bt+aaa3LFFdMTT58p8A8TfJNJ3seP5+c/z/r10zF/iS5kMm4neeqp7NuXvXvzgx9M5/lzczlxIklWrcrGjbnuumzaNL0twEO4Z0nwrV7gh+0vhcnG3qTk0SiHD2ffvszP5/HHk2R2djrar1yZd7wjGzfmhhvyildo/qwIvs+pR2WWh8n9fqfu6zt2LHv3ZteuHDnyF7fiDYd5zWvyxS/mhhuW5DL/SbjFqc/kzthlYzjMihXP3p//2tfmxhvzy1/mxz/Ohg3Tj+iTzM3l2LFceGGS+Hd6/zAjPMvLGTP2++7LLbfkZz/LkSN529uyf39e9arJE/pLd4nnM8GzTJ2+sXfsWObnc9ll+chHlnCr8Z+B4FnWzljh27E7S4LnPDDJ3nN1Z0/wUMQfTCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjy/z+Dbx1a9Ab5AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7343123975377515, 0.7004690430481769, 33.06281426255089])", "action": "('move', [-1.7343123975377515, 0.7004690430481769, 33.06281426255089])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "f262852366eea5183b53718fc6371bff679a5f2730bb5669f9234f4cfec60f67"} +{"episode": 5943, "episode_seed": 3400868183, "split": "train", "timestamp": "2025-09-15T22:45:26.982400", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3400868183, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [15.669795181093905, 1.911689981443894, -17.095195762633107])", "action": "('move', [15.669795181093905, 1.911689981443894, -17.095195762633107])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [15.669795181093905, 1.911689981443894, -17.095195762633107])", "action": "('move', [15.669795181093905, 1.911689981443894, -17.095195762633107])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [15.669795181093905, 1.911689981443894, -17.095195762633107])", "action": "('move', [15.669795181093905, 1.911689981443894, -17.095195762633107])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "329c52eac940ca7f4793ed15dc8759a41ddb97de4257bc9d5ec8ceeecf206776"} +{"episode": 5944, "episode_seed": 208239488, "split": "train", "timestamp": "2025-09-15T22:45:27.632718", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 208239488, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.1955331336413595, -4.680688215655709, -49.80510260538133])", "action": "('move', [7.1955331336413595, -4.680688215655709, -49.80510260538133])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.1955331336413595, -4.680688215655709, -49.80510260538133])", "action": "('move', [7.1955331336413595, -4.680688215655709, -49.80510260538133])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.1955331336413595, -4.680688215655709, -49.80510260538133])", "action": "('move', [7.1955331336413595, -4.680688215655709, -49.80510260538133])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "4d79bf26cf6b2102ad35e89ec0ba17e5e28cf66eea3c53f282fb830283db24b4"} +{"episode": 5945, "episode_seed": 1960663145, "split": "train", "timestamp": "2025-09-15T22:45:28.636812", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1960663145, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6826376286577882, 3.25483728434652, 29.65881641514996])", "action": "('move', [0.6826376286577882, 3.25483728434652, 29.65881641514996])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6826376286577882, 3.25483728434652, 29.65881641514996])", "action": "('move', [0.6826376286577882, 3.25483728434652, 29.65881641514996])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6826376286577882, 3.25483728434652, 29.65881641514996])", "action": "('move', [0.6826376286577882, 3.25483728434652, 29.65881641514996])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG70lEQVR4nO3a31Ib5x3H4d+uhBNHMXaApMiofw58kBvILeQm2ptoT3JruY6c5ihFSNMYMIg6Njba7YFklXGxx50JDpnv88yLRjMsktjh8/K+KzV93xeQof2tXwDw8Qgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggx/6xdwt/R99X1VVbP+qqpqmnf/APyuNP3qDzxV39dyWYPB+6ru++q6NxNBs77d3IHfkdzgu67atn74ob77rvb3azKpx49rMqnxuB6MuvufNfc/az79tO7fr+E7lkF9X1dX1ffr/q/PBSYC7qbcJf1qopvP6/vv3/5OW9143Ow/HozHtb9f+/s1Htfebv9ou3v4RfvwUfPwYW1v12hUW1s3PHLX1evXVdfityLgjsgNfmU+r6pq2+q6Gm7VoK2q5mo5PJrX0fytY/uq2vmidvdqd7d2d2tvr3Z3a2envvqqvvxyPfb2amen7t274blW24e6lr1ZgI8sN/i2rao6OKhvv62zs5r+dDX7V13ddELadnVwu1zW6bM6fVY//vj2MaNRPXjw37H9oP/D3tXjSTs+GIzHtRoHBzUY3PrvBe+Ru4dfWS7rl1/q9eu6fNm/fFmLi2Y6rem0jo7q8LCmR3U07afT/sWLdnXd7v85W31VbW019+7VJ5+sx+ejbrK/nPxlMPlTOzmoyaQODmoyqc9H1Q5s/rl16cG/3+r6/HJZp6d1eFjTaR0e1tGspv9cTn/q5k+Hl5fN5WVtRtetTuaHVts06+XDo+3lH/88+Ps/6m9/Xb9rALchd0m/8b8z3vU99mBQg8H60t0332wOGVQNqur585rPazar2azms34+XR7N6/RsuFjUvy9qcVEXF3VxUa9e3fzUTVtNU31fx6eD49N6dnrz64Ffi+A/dBW96nBT4+rOaFRPntSTJ+tH2pzPq6t6+nQ9jo/Xd05O1uP4uE5O6uRp9/xF31W7WRFMJlVvLi7AbRD8h7rxivpqV7+ZC1ajaWo4XF+oe0vf1/l5nZ/XYlHnz+rsrM4Wzc8/12xWi0V9/fUNTwG/Inv4W7GJ//pc0Lbv/AxPVb16VcOhf+/cLsF/VNengM3tm7f94NYJ/k64/kF9uD328HeC1Pk4LCUhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8AjdI85Z30PS4AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bb20f9e3998340e1345d21ab69a6d15d8f5721275456fb3db25bc6648c3eec4a"} +{"episode": 5946, "episode_seed": 592143863, "split": "train", "timestamp": "2025-09-15T22:45:29.290579", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 592143863, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.029760775129024, 2.9753708245278196, 31.57865446186503])", "action": "('move', [-6.029760775129024, 2.9753708245278196, 31.57865446186503])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALf0lEQVR4nO3cbWiV9R/H8c91zpk7lsTaKIuUjFhhRgmCmUSQEGXJdEmztMBIWQQpLo1uaFBUhOmsB8MNTfOmoKnZrRHdCCoZZdQCGT2IWfogDSqNcNs557r+D67rv/Cf+p8329k5n/fr0fB68hPO+3x/190JoigSAA+pYi8AwNAheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCH4AoqjYKwDOD4IfgCCgeZQHgj+1OPK+PvX0KAj++RegZBH8qYWhwlBvv63rrtNHH0lSECgMi70s4OwR/CmEoVIpHT6sVavU3a36er3yivr6lEox51G6CP4UUilJuvxyrVqlG25QLqcnntDChTp0iFN6lK4g4rN7GvGc//lnLVumLVsk6c479c47ymYlJSf2QOlgwp9WKqVCQVdeqTfeUHOzKit1000n7Or5ukRJYcIPQDzno0jffKNJk5ROn+QoUAr4pA5AXHsQaPJkpdOKIhUKam3VrFk6ciTZBfC9iVLAhD8TUaQoUiqlAwd0/fX6+29NnKjVqzVligoFBQGjHsMcH9AzEQTJhbqaGj31lLJZff+96uq0dm2yz+fbE8MbE/4cbN+upiYdOKBUSosWaflyVVQkm39gWCL4sxKfxmcy2r9fjz2mnTslafp0tbbqqqu4jIdhi8/lWQkCpdPK5zVhgt5/XwsXKgj08cdqaZGkMFShwEO4GIaY8OemfwP/8sv65BN1dOiSS1QoJKf0/X8AwwPBnw9x9j09ymaTvzs7NWaMampoHsMKW/rzIQhUKCibTW7Id3Xp/vt1zz3av1/pNHt7DB8Ef57ED+TEl+t271ZXl3bt0syZeu+95LkddlIYBgj+/AkCVVQoDPXAA1q3TlVV+uknzZunFSuSo4x6FBvn8IPmyy+1YIG6uiTp4Ye1fLmqq4u9Jrgj+MERX7o7dEiPPqoPPpCkqVO1dq3Gj+fJHBQRW/rBEW/gx4zR22/r6acl6euvdfRocjQMOaVHUTDhB1P/Pbn161VdrZkzTzjKqMeQI/hBFob/vHIT99/bq9WrNWuWxo074Sgw+NjSD7L4ofr+23JRpOee05IlmjlT336bHOXqPYYKwQ++/hkeP4QzapSyWf3wg+64Q2+9lRwtFIq9SlhgSz+E+k/at23TkiU6eFCplJYtU3OzLriAd+wwBAh+yMVn8p2dWrRIu3ZJ0l13qa1NY8dyGQ+DjeCLIZ9XJqPff9eTT2rNGkmqrdXevaqpKfbKUObYQxZDJqN8XtXVam9XS4uqqnT33br44mIvC+WPCV88/Rv4vXs1YYIuuogtPQYbwRcbkWMIsaUvtvghXL52MSSY8IARJjxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPnLEoUhgqioq9jjMXRKW4agBnhQkPnIFCQZK2blVdnQ4flqQwLO6KzgwTHhiofF6ZjL74QvX1OnZMt92m9nbV1iqKFATFXtzAMOGBASkUlMlo717NmaNjxzRihHbu1JtvSiqZ2sWEBwaiUFA6re++U12dDh1SJqN8XjNmaONGVVVJpdM8wQP/R1x7Z6fq69XdndQ+bZq2bFF1dSnt58WWHji9fF7ptH78UfPmqbtbI0Yon9cttyS1FwqlVLuY8MBpxLP9l180e7b27VNlpXp7NWmSPvxQl12WHC0tBA+cXBgqldKRI5o9W3v2qKJCuZzGj9eOHRo3LjlackpwycDgi3v+7TfNm6c9e5TJKJdTba22b9e4cZJKsnYRPPBvYagg0J9/qrFRn32WnLdffbU6OnTttSX2pM3/IHjgBPFs7+nRokXavl3ZrPr6dMUV2rhREycqny/V2R4r5bUD51tce6GgpiZt2qTKSvX0qKZG69dr6lTlcspkir3Ec0PwQCK+ox6GWrpUbW3KZNTbq1GjtG6dbr9dYaiKimIv8ZwRPJCIT92ffVavvqpUSvm8Ro3S66+rrk5RVNo7+X5l8Z8AzlkYKp3Wiy/qpZeSSZ7NatUqNTQkb8iVB+7Dw10UJQP8tdfU1KR0Wvm8gkAtLVq8ODlvL63H6U6DCQ938YW69nYtXaogUD6vKNLzz2vx4uR92LKpXUx4mMvlVFGhDRs0f74kpdMqFPTMM3rhheSUvpxqF8HDWTzAt27V3LlJ+bmcmpq0cmWxVzZoCB6m4p38jh267z799Vcy2xsb1dZWnrM9RvBwFL/o9umnmjNHf/yRvOL+4INas0aZjFKp8qxdBA9D8U5+9241NOjXXzVihPr61NCgDRtUWVk+t9xPiuDhJa593z41NKi7W9mseno0Y4Y6OjRyZKm+9DpwBA8j8U6+q0uzZ6urK5nt06Zp2zZVVZV/7SJ4+Ih77u5Wfb06O5Nr8jffrHff1aWXlthP0521cv9CAyT9t/aDBzV37j+1T56sjg6j2kXwcFAoJD9W9dBD+uorjRypXE433qjNmzVmTOn9EOW5IHiUufitmKNHtXChPv9cI0fq+HFdc402bFBtbfKjtD44h0c5i/fqx49r/nx1dCRX6caOVUeHpkwpyZ+dPUdMeJSteJb19qqxUR0dymTU16fRo7V5s6ZMSSa/G4JHeYpfeg0CLV6sTZtUUaF8XtXVWr9et95qcQfupCz/0yh3ceqplB5/XO3tqqxULqcLL1Rbm6ZPVy5nWrsIHuUnnu1RpOZmtbSookK9vRoxQq2tuvfe5K04W1y0Q7mJt+srV2rpUmUyyT251lY1NibP1TpjwqOs9L/6Mnq0qquTn5FfsUKNjQpD99rFhEf5iT/RQaAdO/TII1qwQM3NjnfgTorgUZ7iwvfv1/jxiiJqTxA8yhZT/d8IHuWsjH+s6uwQPGCEq/SAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5Dxm7QgYxulj7AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.029760775129024, 2.9753708245278196, 31.57865446186503])", "action": "('move', [-6.029760775129024, 2.9753708245278196, 31.57865446186503])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.029760775129024, 2.9753708245278196, 31.57865446186503])", "action": "('move', [-6.029760775129024, 2.9753708245278196, 31.57865446186503])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIuElEQVR4nO3dzYtd9R3H8e85995JjRiIVrE7QQONi0D7D9SiplgVon1Y2CISFRI1EcSYVlofQCyitLY+VioiNtLWaARNG6uBShehitqiVotapFCK2HZjpE3m3nO6mGnsIj42M3fC5/VazOouDsN9n+/vnPM7M03f9wVkaKd9AMDiETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEEfwH6fsaj6vvp30ccIg0va/zR9B11To3cvjzLT64udPgm2/WddfV3r3VtjWZTPuY4P8m+IPo+2qa2r+/Nm+u66+vc9d1r7/WDwbV95b3HN4E/76uvbYee6yWLasndzenfnGye3ffNNU01XXTPjL4pAT/vtasqWOOqX37+tFM85e/Ds84o7/tthqPq21rPJ72wcEn4qbdwc2t6l94vrtoff/8H9rRqJmdrar+ogv7G29sjj2uGY9rOJz2UcLHZMIfXNPUZFKf+3y781eDb57Xz85W29Zg2Pzk3uZrX60XX6zh0G08Dj+Cf1+DQU3Gdfxn6t772ptuquq6ybhmZpqnf9usW1c7dtRgUFVu43E4saT/EN2k2kFV1c7H+wvX92+93Y5GNTtbRx5Z37qq+841bXlKz+FD8B9u7jfUNPXqK7X+wtqzp4bDuft2/Xlfn9x+93DlyhqPazCoppnyocIHM5g+3IGncZ9dXU88URdfXONx37Y1GjUP/mJwxpe6556bv6R38mSJE/xH1bbVdXXUUXXPPfXDW/vlR0xmZ2s0an73bHvWWf22n/bDoZ05LHWW9B/PXNJtW7/e1V16WfP6G83c8n406Ldc2d3wvUHTzD/SgyVI8B9b39dkXMNRvfZav3lz7dpVg0FTVZNJd+66uuOu9vjjq+vmLwRgSbGk/9iapoajGo9r1arm4Yebyzd1fd9NJjWzrH3k0fb002vPnmrb6nubcFlyBP8JDYfVdbV8ed36o8Htt9XRR/f799WyZfXSS7V2bd13X7Wtd+xYcgT/yc09e++62nhJ+9BDtWZN7dtXo1Ht3Vvr19eWLf0779RgoHmWENfwh8BkUoNBvflmXXFF7dgxP9vH4/6sM+v7P2hWrZr/AEydCX8IzI3xE06oBx6orVf1XVfjcc0sax7f2Zz55e7JJ3qbcFkiTPhD5sAY37atv3xz849/1rJltW9fLV8+ueWWduPG5n8/A1Mh+EPpwCbc55+vCy+Y/P7FdjhsxuOq6i65pL3hhn7lSu/VMk2CP/TmNt78/e1+44Zu+yNt0zZNVdfVKV/o77izOflkG++ZGtfwh97cxvtPH9v87OeD66+r4aDvupqZqd883Zx9du3cWTbhMi0m/EKZ23XTtrXj0bp0Q/e3t5qZmWb//lqxoq6+urZunf+M92pZTIJfQAeaf+WV/oILmmeeee+x/DfO6+68q12xwiZcFpX5soDadn55v3p189RTdf7586eAwaC2Pdiedsr45ZdtwmVRCX5hNc1779Xef3/dfHOtOKqbTGpmpp59YXDqqd327e/t2IOFZkm/SA68V/urX3abNvVv/HkwmqnZ/TUc9ld/u//uNe3c5nyX9CwowS+evq/JpIbDeuWP/ebN/VO72//O9v4r67o7fzw47jjv0rOwDJTF0zTzfwxv9cnN9u3tpk3VdV3X1WjUPPxou3Ztv2eP/2zDwjLhp+DABtu77+qu3NK/++7gU0fUv/9V55xTjzxSk8n83T445AQ/HQc24e5+sr9sU//qn9oTT6xdu+qkk6zqWUCCn6a5Uf/GG7V1a23YUKedpnYWluCnbK75uZ9qZ6EJfvrmnsZ5JsciEPySYLazOMyUJUHtLA7BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5D/AMWMIizzh8aHAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9ea30d516f25a767412a9ff320ecce009d51a063f94bf94889ebd1ac43561b9b"} +{"episode": 5947, "episode_seed": 3550555593, "split": "train", "timestamp": "2025-09-15T22:45:29.938368", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3550555593, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.281992048706137, -68.94249886558066, -56.090310818605644])", "action": "('move', [1.281992048706137, -68.94249886558066, -56.090310818605644])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.281992048706137, -68.94249886558066, -56.090310818605644])", "action": "('move', [1.281992048706137, -68.94249886558066, -56.090310818605644])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.281992048706137, -68.94249886558066, -56.090310818605644])", "action": "('move', [1.281992048706137, -68.94249886558066, -56.090310818605644])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG6ElEQVR4nO3cT4td9R3H8e85994hY136JKpZCsHBVXYq2IKIVePGf2lJunDhohZXgzWU4mjd6VpcOiLEBIyPQhctTajQhmybiDG595xfFze0T2DuPcN8Xq9H8IO5b77fc36H6VprBWTopz4AsD2ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCP47GceoTcEIJ/tgZx+r7Goapz8FJJPjjpbXq+7p1q2YzzXP0BH+MrFbVdXX5cj3zTH36ac1mUx+IE6drrU19BqqqhqFms7p+vf36V91339epU/Xqq3VwUDs71Vp13dTn40Qw4Y+F9SY/DPXuu/Xd97W7Wz//XLdu1WJRw6B2jozgj4VxrK6rv/x5/PzzNpvX3bv16C/HTz6prqven4ijY6Wf3npj//Zae/rptlz1XVcP7bYrV7u9Pcs8R8z4mNg66Zs3683z3b37fdfVMIz7+21v78HYhyMk+Cn9b4BfuFDXr9fOTg1De+VcXfx979GdTRD8lJbLqqr9/To8rJ2dun+/Hn+8e/9SP5tV1wmeo+cZfjLre7ivv64XX6w7d6q1evjhOjyss2drtar5fOrzcRKZ8NMYx5rN6t//am+/3f5zu+bzaq3ee6/Onq1hUDubYsJPoLVqrVbL9sLz4+FX/XzerVb10kv12WcPPqSHDfHjmkbf18FBHX7VLxbdalWnHxs/+ujB5zewOSb8tq1n+LVr9dRTNQw1jnVqMVz7tt97snPrzqYZKFu1rv3mzfbm68NyWYtFzefjBx/2e092bt3ZAsFvTxtrHOvHH+v8G+3GP/v5vO7dq3Mv96+9rna2RPDb01rN5/XxX9vlK/1i3q1WdfrRYX+/rd/JC54t8Ay/Jetl/ptv6rnn6qefahzrFw+NV692T+x16wt52AITfhvWr99/+KHOn6/bt6uqxrH+9H6vdrZM8NvQWg1DvfVW3bhRi0WtVnXuXF28WK2pna0S/MYNQ/V9XbrUvvii5vNaLuv06To4mPpYRPIMv1nrjf3qlfHZZ2tsfWv1yCP15Zd15oyP6piAj7Y3aD3b//63dvFCd3/Zrd/Dv/OHduZMt1pZ5pmAEbMp6wF+926988fuHze6xaJaay//ZvXb3z2o3T0c22el36zW6s6d/6/uu7s1m/nHVUxG8NumdiZkpd82tTMhwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wKzMUYsL+VKTQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1d7a118a899af9647d0d9b30d32691add0cb8aebcf3c115b3bf6b30756d28090"} +{"episode": 5948, "episode_seed": 803018991, "split": "train", "timestamp": "2025-09-15T22:45:30.591637", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 803018991, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.607827942124595, -23.079846891284323, -15.436257084837592])", "action": "('move', [-2.607827942124595, -23.079846891284323, -15.436257084837592])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.607827942124595, -23.079846891284323, -15.436257084837592])", "action": "('move', [-2.607827942124595, -23.079846891284323, -15.436257084837592])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.607827942124595, -23.079846891284323, -15.436257084837592])", "action": "('move', [-2.607827942124595, -23.079846891284323, -15.436257084837592])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "932b914f00f3437100aacbd2c2e2366f3766c4003abd8a57da9eb750df343e13"} +{"episode": 5949, "episode_seed": 628094216, "split": "train", "timestamp": "2025-09-15T22:45:31.593876", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 628094216, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4106494748876752, -2.3738055382957035, 59.35522760892335])", "action": "('move', [3.4106494748876752, -2.3738055382957035, 59.35522760892335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4106494748876752, -2.3738055382957035, 59.35522760892335])", "action": "('move', [3.4106494748876752, -2.3738055382957035, 59.35522760892335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4106494748876752, -2.3738055382957035, 59.35522760892335])", "action": "('move', [3.4106494748876752, -2.3738055382957035, 59.35522760892335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjklEQVR4nO3dTYxdZR3H8f85986UIIsGkCaAGDBVo8Zg0D0J3WEqBSwtREBYgAhthJBAWRosGxIrCxYCRXkztbbRKBHDAtFIVGKJ0YUmQgwLgk0gQgh05p57XJwJsIF2pHNnmt/ns53FOZvveXnO/7nT9H1fQIZ2tU8AmB3BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBw+rr++r7WRxoPIuDAB+s76tpZnQsd3hYTV1XTVMHDtRTT1VVTacrezjBw6qZTGo0qt/9tt+6tXvxpaqqrlvZIwoeVsdkUuNx/eLn00sv7btudNK6WRxU8LAKuq7G4/rJ49Pt2/rX/9uORiv+MD8QPMxU39d0WqNRPfjD7rrr+rcXRnNz1XXTpmaxTC94mJ3ptJqm2rbu2zO96du1MBmN2nrnnen2K/pLtixdCFaU4GFG+r7atqpq9/emO79Tk+moqiaT/vpr+x8/Ojr11Ga4FqwowcMsDPf2yaR27apdd9WQXtf1O27uH9g7Go9n9DVe8LDiptNq23r77br11tq9u0ajtqnqu9p1R7/nvnaYsZvN7I1JO1hZQ+1vvlk7d9bevTU/X4uL1bZ193f7O+5su27FH+PfT/CwgrquRqN67bW64YZ+//5m3bo6cqTm5+vee+vmm5th8GZmc7VV1fSzmdmHPEPtr75a11zdP/WbZn6+Fhbq5JPr/vvr6qtruLfPsvYSPKyQofaXX+6v3Nb//g/t3FwtLtb69fXQQ7VlS83yvf39BA/H3zA2+89/9Nu2TQ+9MBqPazKps86aPvyjdtNFq3liVunhOBvGZg/9Zfq1zf2hF0Zz45pM6rzzpvv2tZsumtEI7QexaAfH0zAt99xztf2K+vfL7fy6WjjSf3bj9Il97fnnL935V5Hg4bgZvsA980xt3VqHD7fz87VwpL74+W7/wdHGjc2q114e6eG46PulVfcnn6zNm+vw4RrW5L9yQferX483bmyG5/xVJ3j4qN7dALdvX3/5ZdM336y5uVpYqAsvrF8+OTr77FnsijlGgoeP5N3a9+7tr/lGf2ShHY9rcbEuvrj2768zzlh6zl8j1syJwAlo+Kg9GtV9P+hv+lY/mbZNU5NJv/Xy/tFH67TTasaTs0e1ls4FTijD/ramqd2767bbanHSTqfVdfXNa/u9D9f69UuzN2uK4OH/MWx37SZ15521a1dNumZ4tt+5Y/rgQ+3JH2vWznv7+wkelm14UH/rrdqxo7/nnqX7fNvWXXf139/TNs17v3Wx1hitheUZ7u1vvFG33FKPPFLDb1e0bd19d3/77c3w19kPyR+jNfBlEE4cw5L766/X9dfXwYM1Pz8Mz/V79jQ33rgK212XS/BwrIbaDx/ur7yyf/rpdvjYftJJ9cADddVVS0t0a7n2Ejwco6HnV16py7ZMn/vjaNjuesop9dhjtXlzM1wL1njt5R0ejsUwBv/Si/2lW7oX/joeav/46f3jTzSbNq32yS3HmlxJhLWkm9R4XH//W//Vi9+r/ZPndAcP1qZNq7zddbnc4eHDDNM1f/5Tv3379F8vtnNzzeJibfzUZN9PR+d/aU1sgFuWE+pkYbaG2p99tr5+ef3n8NJ7+xc+1/3swOjTn2kWF2tubrVPcZkED0dx+uk1v66pqsXF+vIF3YED7SfOabruxKu9PNLDhxuW359/vi65pM49t/bvrw0b1uKQ/DESPBzF0PyhQ7VhQ5155tra7rpcgoeje/cfv83mP8CtHO/wcHRNs/T57cS9tw/c4SHICX69ApZD8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkf3ur75opBKNCAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "1da76f5b312d5c06953c0586740668296f2049df4e2b2d673b403f8578247741"} +{"episode": 5950, "episode_seed": 4270562878, "split": "train", "timestamp": "2025-09-15T22:45:32.230648", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4270562878, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.7320244548065835, -5.870330425609747, -39.76942279922733])", "action": "('move', [-4.7320244548065835, -5.870330425609747, -39.76942279922733])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.7320244548065835, -5.870330425609747, -39.76942279922733])", "action": "('move', [-4.7320244548065835, -5.870330425609747, -39.76942279922733])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALWUlEQVR4nO3dW4hVdR/G8Wftg47pmILkgXREPFBkBlpqTo1YGRaioVCBduGFN5EKYUVHyi5UGOumgqibyCxvuhg7YImOiU4RhQ3ioQKNRB3DHNSZydlr/btYK+cdXyvtfZvt3s/3c6Xb2bBw9nf/1uG/9o5CCALgIVfuDQDQdwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGC9xVCubcAfY7gfUWR4rjcG4G+RfCOQlAI6upSPq9Sqdxbgz5E8I6iSB9+qKVL1dKiQkFi995GFPhVOwlBUaT2dk2ZoiNHNHKkHn1Ujz+umprsn1DdmPBe0rf3tWt15IgGDNCxYzp9WsWikoTaLTDhjcSx8nnt3as5c3T6tJJEkyerqUl1dUoS5XjzN1Ao9wagj4SgJFEc66WXdOqUikUVCnrsMdXVqVTKjuRR9XhXdxHHKhbV1KStW5XPq7tb9fV6+OFs7MMEwVtIEuXzamtTY6POnpWkmho995wGDZLE0bsRgncRRdq0SS0tKhYVx3roIc2enb0RwAcn7apfegb+8GHNnKm2NkWRhgxRa6tGjmS222HCV78oUhRp3TqdOKFCQUmi55/XqFHl3iyUAxO++oWgPXtUX69cTnGsqVO1fbtqa1lp44gJX+XSZfNPPpktuenXTy+8oNpaVtqYIvhqViopivTWW9q1KztXt2iR5s7lJjlfBF+1kkSFgo4e1YYNiiKVSho5UqtWqX9/SayrM8WvvWrFsZJEr76qgwezhXRLl+q221QqcSnOFyftqlO6fu7LL7VwodraFIImTFBzs4YPl1hpY4wJX4XS0++dnWps1PHjiiKFoKef1ogRnJl3x4SvQumtb01NWrRIkrq7NXu2tm3LLsjDGcFXm/T3ee6cbr9dra3K5xXH+uor3Xor4x3s0lejKNJrr6m1VYWC4lgrVlA7Mkz4qpIus/n5Z91yi9rbFYJGjdKuXRo7lo+4gMSErzIhKJfTM8/o11+zeb56NbWjBxO+eqQfXLN1qxYsUKmkUkkzZ+qjjzR4sCSuvUNiwleN9M72s2e1fr26upQkGjhQq1dr6FCJ2vEHgq8S6c0wGzdq27bsHth58/TAA6yrQy/s0leD9BD9yBHNm6cDBxRFGjxYu3frhhs4OY9emPDVIF1L98Yb2r9f+bySRCtXUjsugQlf8dKqv/tOs2apq0txrIkT1dKia6+ldlyMCV8lnnoq+zjaELRmjYYM4evicAkEX9nSc3UffKBPPsm+CnbBAt1/PzvzuDR26StYCIpjdXRo+nQdOKB8XgMG6NNPNWsWXyaDS2PCV7D0M20aG3XwYHaTzLJlmjUrexz4b0z4SpV+xMW+fbr7bp04IUljxqi5WaNHKwSuvePSmPAVKT1EL5W0YYOOH8/Wya9cqbo6asdfYcJXpHS8f/ZZdn6uVNK0adqzR1FE7fgrTPjKk473s2f18svq7pakXE7r1qlQ4JY4/A1eIBUpl9OmTdq5U4WCSiUtWaI5c7gUh7/HLn3lCUEnT2rKFJ04oVxOw4apuVmTJhE8/h4TvsKkK21efFHHj2eX4las0PjxfHUULgsTvpKk5+qam7Ovi0oSTZ2qpiaNGMFn2uCy8BqpPO3tGjNGcawQtGqVRoxQdze147Iw4StMeqDe3q4nntD583r77WxPnv15XA6CrzwXTs51dammhnN1uAIEX5HS22ZYMI8rRfAVjNmOK8WpngpG7bhSBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMH3lRAUQrk3Au4K5d4AA0miEJTPl3s7ACb8vycElUqKY+VyyucVx+roYMijvKLAS/D/LkkUxyoUFEWSdPSoWlvV1KSaGjU2KkmU430W5UHw/5rz57V9u3bs0I4dammRpH79dOiQxoxRCDSPsuAY/n+WvmOmwzyd3vv3a9Mm7dqlr7/WmTPZj9XXa/Fi9e/f88NAnyP4fyoEJYny+V71pkfsH3+sNWuyR+rq9OCDWrhQEyZo2LCybClwAcFfuThWCCoUshPvp07pm2+0ZYvWrlVNjSQ1NOjGGzV+vJYvV0ODBg3Knvif+wJAOXAM/0+dOqX9+/X553r/fR04IEnvvKOlSyUpSdTZqYEDe36Y1HF1YMJfhnRHXVIU6bff9O23+uILbdumrVuzkotF3XGHrrlGUnZCbuDAXpGTOq4OTPg/d9FYjmPl89q3T4sXZyNd0uTJmj9f9fWaMUNDh/Z6LpHj6sOE7y1dAHthnkuKY23cqBkzNHGiQtD11+u66/Tjj1q2TAsW6KabNHp09tz0HSFF7bgqMeH/REeHDh7Uu++qqUnff6/ly/X661nPP/ygKNLYsdlfQ8j2+bm0jque/YS/aKH7mTM6fFg7d+q997R7d/Zgba3a2tTRodpahaDx43ueKymKVLD/b0SFMH6lpgtgi8WeR0olrV+vV17RuXPZI9OmacYM3Xef7r1XuVzPkXn6B0Y6Ko1l8OlRTLoTfuyYTp7UzTdnh+4h6Nw5jRunuXPV0KA779SoUT1PuXBkziE6KpPxMXxzszZv1vbtGj5cGzdmYf/0k3bs0PTpmjQp+7HubkXRxSvqgMrkFHy6H/7LL3rzTW3erEOH1NkpSf36acsW3XNPr9PskkolTsWhyjgFn/a8d68aGtTermJR48bprrv0yCOaNq0n9fTKXBQx0lF9nIJPMy6V9Oyz2rdPS5Zo/vxseRzgwSl4/dF8Z6cGDMgeSS+hM8zhwSz4C9I73jgVBzOWwXPvGlxZXocndbjimhNghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5HepBSIaMiD7eAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.7320244548065835, -5.870330425609747, -39.76942279922733])", "action": "('move', [-4.7320244548065835, -5.870330425609747, -39.76942279922733])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "f5bc7e1a9293d35ee33deb100e455d69d57dee9801b28a78d97c8205792d73e2"} +{"episode": 5951, "episode_seed": 2588282532, "split": "train", "timestamp": "2025-09-15T22:45:32.865764", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2588282532, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.5199851345435755, -31.25582815034576, 31.08850100748373])", "action": "('move', [-4.5199851345435755, -31.25582815034576, 31.08850100748373])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.5199851345435755, -31.25582815034576, 31.08850100748373])", "action": "('move', [-4.5199851345435755, -31.25582815034576, 31.08850100748373])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKz0lEQVR4nO3dy4vV9R/H8df3XJycGQeHNBJTKxcSIUGQdKhwUVDjDatdVJiLIQxNLE2EoQEXklAGraJNUeCyi9QiGcZLBbUxCgYhkwoKMx2b44yM53v7Lb6nSYe0mfidTt/v6/n4Cz5n8Tzvz/l8LydI01QAPJTavQAA/x6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMED/1wcK47bvYjZCNI0bfcagFxKUwWBJMWxyuV2r2ZmKu1eAJBLSaJSSYcPKwj00EPtXs2MMeGBWctqP3tWq1frzBlt367du9XR8efM/89iwgOzk6aKY6Wpdu/WyZMKAg0OqlTSwICiSNVqu9d3XRzaAbMTx6pWdfCg3ntPpZIk3XGHnnhCaZqDX/Js6YFZyDbzp0/r4Yf1/ffNwt9/X+vW5ePojgkPzFT2E73R0K5dOnVK5bKiSFu3at06JUkOahcTHpi5LPi33lJ/v6pVhaHuvltHjqirq7m3/+8jeGBGstpHRlSr6eJFSapUdPSoarUcHM5Pycn3EtBW2cn8pUt69lnV66pWFQTau1e1mpKk3YubDYIH/l6SqFLR/v06flzlshoNPfig+vubtedlvIstPfC3suP3Y8e0YYMmJpSmWrBAhw9r5cp8nMxfiQkPXE92He7MGe3apbExpanSVHv25LJ2ETxwHdn2Nwh04IC+/FJz5iiOtX69nntOUZSbk/krsaUHrik7fv/kE61dq1JJSaJFi/TVV7rlljydzF+Je+mBa0pT/fabnn9ekkolBYHeeCPHtYstPXAtaapSSS++qFOnVKkoirR5szZuzNl1uGnY0gN/IYpUqejtt7V5syqV5k11H3+sm29uHuPlFMED02XH7yMjWrNGP/0kSZ2dOnhQ69c3vwjyK7ffVEBrJImCQGGoPXv044+aM0dpqi1btH69wjDftYsJD0wTRSqX9frr2rFD5bLiWKtWaWhIXV1Srm6q+0sED/wpO37/+ms98ojOnZOkjg4dOaJ77snxyfyV2NIDTVnSk5PaulW//qogUBxrcLA4tYvggSnZZnffPn32mapVRZHWrtW2bc1f9cXAlh6Q/jiZP3JEfX1qNJQkWrhQQ0NauTLf1+GmyfmZI/D/kM3w0VFt26bJSc2ZI0n79uX1CZnrKMoXF/BPZQ/ApakGBvTtt83H3R97TE8+qTguzmzPsKWHu2yGf/CBnnpKly8rirRkiY4d09KluXk15cwV6+sLmKUs6R9+0AsvaHy8ubd/7TUtW1bA2kXwQJJocFCnTzcfd+/v1+OPF+2n+xS29PCVHb+/8442bWo+D3fnnTp+XL29xbnwPg3Bw1SW9HffqVbT6KgqFc2dq48+0urVha1dbOnhKTuWD0Nt3arz51UqKQy1bZvuv19x3O7FtRLBw1F2ve3AAX36afOn+wMP6KWXmq+1Kep4F1t6GMqeaT9+XBs36sIFBYFuvFEffqharbBndVOY8PCS/anz2Jheflmjo6pWlSTauVO1msKw4LWL4OEm29G+8oqGh1WpqNFQX5927lSaqlpt9+Jajy09jGTH78PDWrNGYag01cKF+vxz3X67lP+XW8wEEx4ustrPn9eWLZqclKQk0f79Wr5c8qhdBA8f2V52/36dPNl8d9WmTXr66Xy/dnq2CB4usufeduzQ5s0KAq1YoYGB5gV5k/EufsPDylTbb76pm27So48W/zrcNAQPO1NvsLGa7RmCh6MoUhBcPdunQij0dwDBA0Z4px0gSarXVa9r3jz19BR4yHNKD3vZdbm9e7VkibZvVxS1e0EtRPDwlv0pdJpqYkKlkuK4wONdBA9IUhhqYkJJovnzi/ae2qsV+bMBM9VoNCd8Tw/BA0U3OamzZ5Ukzf+ILS6Ch7fssnSaavFi3Xqrli5t94Jai+vwgJSmqtd17pwWLlRPT7tX00IEDxhhSw8Y4U47eJt6LcbwsObP1733qru7wE/VsKWHt+z52C++0H33KQh04oTuuqtQ/wh/tWJ+KmB2Gg1J6u1t/jV8cRE8II2PS1JPD8EDhZZt3cfGJGnePIIHDFy8KEnd3c130xf0xE4ED3dZ2/W6JHV3M+EBA+Pj6uhQb2/h/32G4GEvSXTmjC5fVqOhjo52r6a1uA4Pe2mqb77RyIhuu02rVhX1CnyG4AEjRf4yAzAN99LDXhzr558Vhlq0SJ2dBb6RXkx4WMt+z9breuYZ9fVpaEiS4ri9i2opJjzshaFOnNCFC8377Qp9qsWEh70k0fi4SiXNmycV+TY7ETygRkNhqEql8BfhRfBA80b6ri51drZ7KS1H8LD3+++SNHeu5s6V2NIDxTY2piBQZ6duuKHdS2k5goexbJifP680VbXa3NIXesJzWQ72li3Thg1avrzYb6TPcC89YIQJD3tRpCRRuaxyud1LaTkmPGCEQzvYe/VVbdigd9+VpCRp92pai+Bh79AhHTqko0elgj85I4IHFEWqVNTbKxX8yRkRPKBz5xRF6u5u9zr+DQQPexcuSCJ4wECjoUuXpD+CL/RtdiJ4+Mp+ro+NKU1VqTg8DC+Ch7vRUU1MKEnU1dXupfwbuNMO3pJEK1aoo0MLFkjFn/DcaQdvYahfftHkpBYvdji3I3jACFt62Mtupw2Cwu/nxYQHrHBKDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gd1MM3l3jyYuQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.5199851345435755, -31.25582815034576, 31.08850100748373])", "action": "('move', [-4.5199851345435755, -31.25582815034576, 31.08850100748373])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKz0lEQVR4nO3dy4vV9R/H8df3XJycGQeHNBJTKxcSIUGQdKhwUVDjDatdVJiLIQxNLE2EoQEXklAGraJNUeCyi9QiGcZLBbUxCgYhkwoKMx2b44yM53v7Lb6nSYe0mfidTt/v6/n4Cz5n8Tzvz/l8LydI01QAPJTavQAA/x6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMED/1wcK47bvYjZCNI0bfcagFxKUwWBJMWxyuV2r2ZmKu1eAJBLSaJSSYcPKwj00EPtXs2MMeGBWctqP3tWq1frzBlt367du9XR8efM/89iwgOzk6aKY6Wpdu/WyZMKAg0OqlTSwICiSNVqu9d3XRzaAbMTx6pWdfCg3ntPpZIk3XGHnnhCaZqDX/Js6YFZyDbzp0/r4Yf1/ffNwt9/X+vW5ePojgkPzFT2E73R0K5dOnVK5bKiSFu3at06JUkOahcTHpi5LPi33lJ/v6pVhaHuvltHjqirq7m3/+8jeGBGstpHRlSr6eJFSapUdPSoarUcHM5Pycn3EtBW2cn8pUt69lnV66pWFQTau1e1mpKk3YubDYIH/l6SqFLR/v06flzlshoNPfig+vubtedlvIstPfC3suP3Y8e0YYMmJpSmWrBAhw9r5cp8nMxfiQkPXE92He7MGe3apbExpanSVHv25LJ2ETxwHdn2Nwh04IC+/FJz5iiOtX69nntOUZSbk/krsaUHrik7fv/kE61dq1JJSaJFi/TVV7rlljydzF+Je+mBa0pT/fabnn9ekkolBYHeeCPHtYstPXAtaapSSS++qFOnVKkoirR5szZuzNl1uGnY0gN/IYpUqejtt7V5syqV5k11H3+sm29uHuPlFMED02XH7yMjWrNGP/0kSZ2dOnhQ69c3vwjyK7ffVEBrJImCQGGoPXv044+aM0dpqi1btH69wjDftYsJD0wTRSqX9frr2rFD5bLiWKtWaWhIXV1Srm6q+0sED/wpO37/+ms98ojOnZOkjg4dOaJ77snxyfyV2NIDTVnSk5PaulW//qogUBxrcLA4tYvggSnZZnffPn32mapVRZHWrtW2bc1f9cXAlh6Q/jiZP3JEfX1qNJQkWrhQQ0NauTLf1+GmyfmZI/D/kM3w0VFt26bJSc2ZI0n79uX1CZnrKMoXF/BPZQ/ApakGBvTtt83H3R97TE8+qTguzmzPsKWHu2yGf/CBnnpKly8rirRkiY4d09KluXk15cwV6+sLmKUs6R9+0AsvaHy8ubd/7TUtW1bA2kXwQJJocFCnTzcfd+/v1+OPF+2n+xS29PCVHb+/8442bWo+D3fnnTp+XL29xbnwPg3Bw1SW9HffqVbT6KgqFc2dq48+0urVha1dbOnhKTuWD0Nt3arz51UqKQy1bZvuv19x3O7FtRLBw1F2ve3AAX36afOn+wMP6KWXmq+1Kep4F1t6GMqeaT9+XBs36sIFBYFuvFEffqharbBndVOY8PCS/anz2Jheflmjo6pWlSTauVO1msKw4LWL4OEm29G+8oqGh1WpqNFQX5927lSaqlpt9+Jajy09jGTH78PDWrNGYag01cKF+vxz3X67lP+XW8wEEx4ustrPn9eWLZqclKQk0f79Wr5c8qhdBA8f2V52/36dPNl8d9WmTXr66Xy/dnq2CB4usufeduzQ5s0KAq1YoYGB5gV5k/EufsPDylTbb76pm27So48W/zrcNAQPO1NvsLGa7RmCh6MoUhBcPdunQij0dwDBA0Z4px0gSarXVa9r3jz19BR4yHNKD3vZdbm9e7VkibZvVxS1e0EtRPDwlv0pdJpqYkKlkuK4wONdBA9IUhhqYkJJovnzi/ae2qsV+bMBM9VoNCd8Tw/BA0U3OamzZ5Ukzf+ILS6Ch7fssnSaavFi3Xqrli5t94Jai+vwgJSmqtd17pwWLlRPT7tX00IEDxhhSw8Y4U47eJt6LcbwsObP1733qru7wE/VsKWHt+z52C++0H33KQh04oTuuqtQ/wh/tWJ+KmB2Gg1J6u1t/jV8cRE8II2PS1JPD8EDhZZt3cfGJGnePIIHDFy8KEnd3c130xf0xE4ED3dZ2/W6JHV3M+EBA+Pj6uhQb2/h/32G4GEvSXTmjC5fVqOhjo52r6a1uA4Pe2mqb77RyIhuu02rVhX1CnyG4AEjRf4yAzAN99LDXhzr558Vhlq0SJ2dBb6RXkx4WMt+z9breuYZ9fVpaEiS4ri9i2opJjzshaFOnNCFC8377Qp9qsWEh70k0fi4SiXNmycV+TY7ETygRkNhqEql8BfhRfBA80b6ri51drZ7KS1H8LD3+++SNHeu5s6V2NIDxTY2piBQZ6duuKHdS2k5goexbJifP680VbXa3NIXesJzWQ72li3Thg1avrzYb6TPcC89YIQJD3tRpCRRuaxyud1LaTkmPGCEQzvYe/VVbdigd9+VpCRp92pai+Bh79AhHTqko0elgj85I4IHFEWqVNTbKxX8yRkRPKBz5xRF6u5u9zr+DQQPexcuSCJ4wECjoUuXpD+CL/RtdiJ4+Mp+ro+NKU1VqTg8DC+Ch7vRUU1MKEnU1dXupfwbuNMO3pJEK1aoo0MLFkjFn/DcaQdvYahfftHkpBYvdji3I3jACFt62Mtupw2Cwu/nxYQHrHBKDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gd1MM3l3jyYuQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGiElEQVR4nO3dTW5b1xmA4Y+SbUWWZKmDbCQZB1lGgKwyi8gqggwLdBC0FhU3bl3+dEBaciZGJgqD+z7P6IKjw8HL7+DyHnK13+8HaDg79QKAP4/gIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ8iLUy8A/hK229nvZ2bOzuZsuXNwtT+8SyBguR9l8AfsdjMzP/8833wzX3013347P/wwM7PUOWhLD7Nez48/Hq+/++6kS3lmJjxph0m++bBbrTYvXs5qNV9+eeo1PSfBw/z3w+z3Z6vV7Pdze3vq1TwnW3qY9/85m5nVzMzCgzfhSVutZmZ+/fXplbu7Ey3lTyF40g7Br9dPrwgeFu4Q/G43L8+3r14u9Bu5mRE8cZ9O+N1u7v52dna2Ou2SnpXgqdvvn4J/c7s6O5/5+EGwPIKnbrudh4fj9d3dnC+6iUW/Ofis41M3m6ebdre3c5jwSyV46na73we/6CYW/ebgD9hs5mF9vDN/ezvnJjws2GazX7/dHa7v7kx4WLTtZtb3u8Nt+dvbxd6fPxA8dYe79Id7dW/enHo1z0zw1G238/5/54ed/OHkzFJ//WKcloN3/149Pmiz7Afpx4SHw3dyh+IPW/oFT3jBU3cIfr+fmf319YkX89wET9dhqt/fzxx/zXJ1cXHK9fwJBE/dY/CvLubVqxMv5rkJnrqno3LXgoele/v2eHFzs3/58qRLeX6Cp+7x5MzNm5UJDwv3FPzNcUu/4KdrBU/d/dvj1+6PwS+Y4Kl7+8/jUTnBw/Ldfzwbe309btrBwq3Xq8fnal8s/XCJ4Enb7ebht+Nv3NzcHF9x0w6W6d272W6PE/4Q/IJPzozgyTqEfX//NNIPJ2cED4v18PBU+NXVjOBhwQ4TfrebmXn9embRT92M4Mn6dEu/389qdpcXix7uMyN44tbrY/lffDGXl6dezfMTPGmPwV9dry6vVmNLDwt2f38M/vJyZcLDYh06X38M/vVrW3pYuvv744P0j8Hb0sMCHSf8v7Yz+5m5ujp+LbdsgidtfX+8uLxMbOmXfjgIPuvdb2cvXqz2+7m+TmzpBU/a3/9xvtnMzJyfz/n5bLcL/7towRN1CPv77+enn+aXX+brr4+vL3vCr/bLPisAn7XZzIcP8/79XFzM4v9nagQPKbb0pH0675a9mT8QPGmFyD+16DuSwO8JHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyE/B9jDu/uDeiJkgAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGiElEQVR4nO3dTW5b1xmA4Y+SbUWWZKmDbCQZB1lGgKwyi8gqggwLdBC0FhU3bl3+dEBaciZGJgqD+z7P6IKjw8HL7+DyHnK13+8HaDg79QKAP4/gIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ8iLUy8A/hK229nvZ2bOzuZsuXNwtT+8SyBguR9l8AfsdjMzP/8833wzX3013347P/wwM7PUOWhLD7Nez48/Hq+/++6kS3lmJjxph0m++bBbrTYvXs5qNV9+eeo1PSfBw/z3w+z3Z6vV7Pdze3vq1TwnW3qY9/85m5nVzMzCgzfhSVutZmZ+/fXplbu7Ey3lTyF40g7Br9dPrwgeFu4Q/G43L8+3r14u9Bu5mRE8cZ9O+N1u7v52dna2Ou2SnpXgqdvvn4J/c7s6O5/5+EGwPIKnbrudh4fj9d3dnC+6iUW/Ofis41M3m6ebdre3c5jwSyV46na73we/6CYW/ebgD9hs5mF9vDN/ezvnJjws2GazX7/dHa7v7kx4WLTtZtb3u8Nt+dvbxd6fPxA8dYe79Id7dW/enHo1z0zw1G238/5/54ed/OHkzFJ//WKcloN3/149Pmiz7Afpx4SHw3dyh+IPW/oFT3jBU3cIfr+fmf319YkX89wET9dhqt/fzxx/zXJ1cXHK9fwJBE/dY/CvLubVqxMv5rkJnrqno3LXgoele/v2eHFzs3/58qRLeX6Cp+7x5MzNm5UJDwv3FPzNcUu/4KdrBU/d/dvj1+6PwS+Y4Kl7+8/jUTnBw/Ldfzwbe309btrBwq3Xq8fnal8s/XCJ4Enb7ebht+Nv3NzcHF9x0w6W6d272W6PE/4Q/IJPzozgyTqEfX//NNIPJ2cED4v18PBU+NXVjOBhwQ4TfrebmXn9embRT92M4Mn6dEu/389qdpcXix7uMyN44tbrY/lffDGXl6dezfMTPGmPwV9dry6vVmNLDwt2f38M/vJyZcLDYh06X38M/vVrW3pYuvv744P0j8Hb0sMCHSf8v7Yz+5m5ujp+LbdsgidtfX+8uLxMbOmXfjgIPuvdb2cvXqz2+7m+TmzpBU/a3/9xvtnMzJyfz/n5bLcL/7towRN1CPv77+enn+aXX+brr4+vL3vCr/bLPisAn7XZzIcP8/79XFzM4v9nagQPKbb0pH0675a9mT8QPGmFyD+16DuSwO8JHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyE/B9jDu/uDeiJkgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b94c70c575940b2a4ba1a0f79b32ee070542f2b20eb6a359517f3f48ee2842ba"} +{"episode": 5952, "episode_seed": 2236240851, "split": "train", "timestamp": "2025-09-15T22:45:33.857882", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2236240851, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [168.94688219110188, -38.84285682028831, -39.70978556754804])", "action": "('move', [168.94688219110188, -38.84285682028831, -39.70978556754804])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [168.94688219110188, -38.84285682028831, -39.70978556754804])", "action": "('move', [168.94688219110188, -38.84285682028831, -39.70978556754804])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [168.94688219110188, -38.84285682028831, -39.70978556754804])", "action": "('move', [168.94688219110188, -38.84285682028831, -39.70978556754804])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "bf2d02af709917b92c92cea51fcbce4a457d8388626f87b72539bc6c4f97ce90"} +{"episode": 5953, "episode_seed": 2539506787, "split": "train", "timestamp": "2025-09-15T22:45:34.513471", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2539506787, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.134597518904572, -25.186246381129862, -49.70126524018243])", "action": "('move', [-14.134597518904572, -25.186246381129862, -49.70126524018243])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKbUlEQVR4nO3dT8hldR3H8c+593kGp3FkKjMbHMY/NI6KQSFE0KpFizbOpgEjjDBMwdwUtggDhRa1s6AWBRUkBKGrsAIVoTatclE6OTM6fzT/8GASw/xxnntPi3Pmmagc594ZvffM9/VaPc9Z/Rie9/z+3HPObdq2DVDDaNEDAN4/godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FLKy6AEMTNvm9On+5/E44/FCRwMzatq2XfQYgPeJGf58TacZjXLwYB56KG+9lSRf/nL27k3bpmkWPDY4T4KfzXSaZ57J0aNJsnWr4BkYh3bnq6v6mmvyqU9lZSUrK3nxxSSxJWJABD+DySSbN2f79qyvZ309r7ySU6cy8k/IcPhrPV9Nk8kkSXbs6K+cOJEXXkjTZDpd4LhgBoKfQTeZ79yZ1dUkOX48+/cnETyDIfgZdNv4nTvz4Q8nyYkT+fvfE9t4hkPwM+iCv+66fOQjSdK2eeGF/gcYBMHPoNuub9/ez/BJjhxJ27rfjsEQ/AyaJuvrSbJ9e3/lzTeztpbx2CTPMAh+Nt253a5d/a9razl0KHFux0AIfjbdNv7jH89llyXJ2loOH04Ez0AIfjZd8DfemMsvT5KTJ/sZ3pKeQRD8bLrgd+3K5s39lSNHkrjfjmHwdzqb7n67rVtz5ZX9laNH8/bbWVkxyTMAgp9ZN8nfdFP/69Gjef31xKqeIRD8nDaCP3Ikb7yRCJ4h8Dz8zLoZ/pZb0jRpmqytmeEZDDP8nLrgR6O0bV5+edGjgfMj+JltPEKzdWv/8fuBA2nbrFgtsfQEP6fV1eze3Qe/f39OnEis6ll6gp/TaJSbb+5/PnAg//rXQkcD50fw8+uCH4+zf3+OHUvM8Cw9wc+jC/uWW5JkZSWnTvUH9bDkBD+/G244+0K7559P4n3VLDvBz++KK/Kxj/VPyAueQRD8/D7wgeze3S/vn3++Lx+WmeDnt2VL/yaMpslzzwmeARD8PJqmf5XdjTcmyXicw4f7L5yDZSb4OXVndddff/bKvn2JT+ZYboK/IFddlcsu67+R5m9/W/Ro4N0Ifk7dgfyVV+baa/tZ/bnnEjM8y03wc9oIfufO/ooZnuUn+Pm1bbZtOxv8wYO+K55lJ/g5bXwpxUbwx4/npZf6A3xYToK/UDt29K+sPXnSQT3LTvDz6zrfsSMf/GCSnDzZf5msL6VgaQl+ft12fceOfPSjSTKd+vZolp3g57cR/NVX918g2z1CA0tL8PNrmrz9djZtypYtmUz6Y7zjx7O6apJnSXnx4gXptvFf/GK2b8+tt+bWW73KkqXWtCYjKMN8dBFMJplMMhqlafrNPCwnMzwU4tAOChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyKKDb9sFDwAqWXTwTbPgAUAlCw1+MsmBA0kynS5yGFDGQoM/eTJ79uTgwYxGmof3QdMucBe9vp7V1Xz603niiXzoQ5lMMh4vbDBQwEJn+LbNpk35859z9905diyxtof31uKCb9usrOSBB5Lkscfy8MMZjfrrwHtjoUv6JJNJvva1/OIXWV3Nj36Ur399kYOBS91Cg2/bNE3eeit33JHf/z6rq/nNb3L77f114GJb6B6+aTKZZNu2PPJIbr45bZu//nWR44FL3aKX9El/OP/003n55dx5Z5JMp2lbJ/Zw0S1B8MnZNfx0mqaxnof3yKJvre10a/vTp/vaf/rTfOMbOX06cWgPF9PKogdwxnjc1/7UU7n33kwmueqqPPigAzy4iJZjhu80Tdo2t92WvXuT5Lvfzc9/ntEo6+uLHhlcIpZjD79hOs1olFdfzd69+dOfsmVLHn88n/+8u27holiy4HPm0H7fvnzhC3nppVx9dZ54Ip/8ZP9/AXABli+h8TiTSXbvzqOPZtu2vPZa7ror+/cn7rSHC7V8wedM85/5TH72s6ys5C9/yY9/nNGo3+QD81q+Jf2G7nz+Bz/IH/6QX/4y11zTn96tLM0nCzA0Sxz8hm5Xv7GHd4AH81rKJf1/6u6xbduMRvnHP/Lb3/bxA7Nb+uCbpr/f9tlns2dP7rgjTz6Z0SiTyaJHBsOz9MHnzJttt23LoUM5diz33JNnn+0P9oBZDCT4ts211+bxx3PFFTl4MPffn9des7aHWQ0h+JyZ5D/72fzkJ9m8OX/8Y+67L6dOuc0eZjKQ4JO0babTfOlL+c530jR57LE88IBP5mEmwwm+e5ZufT3f/Ga++tUk+eEP89BDmofzN5zgkzRNRqNs2pRHHsnnPpfRKNdfnyRtq3k4H0O48ea/dHfgHDqUtbXcdtvZB+Y9OQ/vZoDBJ/8d+XSaEyeyZYvm4dwGtaTfsFF72+af/8zDD+fOO/Pmm/1F4B0M+UGU7n7bffvyve9lfT2bNuVXv/IOTDiHYc7wne4G2098It/6VpL8+tf59re9JAPOYZh7+A3dAd5kkq98JY8+mvE43/9+7r8/o5En6uB/DTz4nDm3O348t9+eJ5/Mddfld7/Lrl39gh/4D8MPPmeaP3w4d9+de+/Nnj1egAf/1yUR/IbTp7O66sM5eCeXUPBd596HA+/sEgo+braDd3FpbXTVDud0aQUPnJPgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FPJv9n1iPx36sLUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.134597518904572, -25.186246381129862, -49.70126524018243])", "action": "('move', [-14.134597518904572, -25.186246381129862, -49.70126524018243])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.134597518904572, -25.186246381129862, -49.70126524018243])", "action": "('move', [-14.134597518904572, -25.186246381129862, -49.70126524018243])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "a045f003f4757779040e302361941e8fbba0d96ab9063cfc7b273c9a4a16f4da"} +{"episode": 5954, "episode_seed": 2485882140, "split": "train", "timestamp": "2025-09-15T22:45:35.168831", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2485882140, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-43.339878643548616, -17.528216828471837, 21.418444283615333])", "action": "('move', [-43.339878643548616, -17.528216828471837, 21.418444283615333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-43.339878643548616, -17.528216828471837, 21.418444283615333])", "action": "('move', [-43.339878643548616, -17.528216828471837, 21.418444283615333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-43.339878643548616, -17.528216828471837, 21.418444283615333])", "action": "('move', [-43.339878643548616, -17.528216828471837, 21.418444283615333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGH0lEQVR4nO3a7W4U5xmA4WfXbhKlOFQhdRTEhxSZFDijHEmOLn9zAq0oplWC1GDohyBSUQTG7PSHkZEpbSOlxCT3dWm1ml3N7M7+uPd959WslmUZoGF91icA/HQEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQ8ksLfllmWc76JOBttX3WJ/CjHLd9HPnx9vbP+wfBm/Uz6+Ok7c1mlmXW69nentXq1D7ffz/vvTfrX9rcBf4PVsvbPQM+KXzZzDKvyfvx43nwYP76YLl/b3P/b1v7+7PZzBdfzNWrs9nIHk5560b4k/+fZZnV6sVjZmbrxftffz13787du/PNN/Ptt3Pv3ty/Pwf35uGjFzu88858/rng4TXOOPh/b/JkAD/eODiYO3fmzp3Zv/V8/0+rv/9j/fDhfPfdPHo0z5+fPm69tV7NzBwezsHBzFi9g1edcfAntR8dzbNn8/jx7O/PrVtz+/bc+v3RnT+v//l4/eTJPHk6R8/+22C9Ws32erZ/Nb85v/nk4vrDD099OHDsLK/hl2W++upF3rdvL3/8w/O7f9laltX/PG69Xp07N+fOzc7O7F44unFzdf3m1o3rc+PmXL6sc/iPzjL4w8N5991T7xyvyT179sqOmw92Vr/dXe3uzu7ucuni5trv1nt7q7292dubra0BfqAzntLv7MzTp3N4+OLl0dHMzPb2XL06V64cPy+XLy6Xrq4uXZ7Ll+b8+dXL5buZZZmjo5cLey9X+IDXeRtG+M2lTzbXrm9fuzaffTaffjoffzwXLsxHH82FC68ecnQ0m82sVrNen17DB36Aswx+s5kvv5wrV5YPdubX51bvv/+a++SOp/cnbbs+hx/j7brx5vgWuhlTdHgjzjj4V75c3vBGnfGincLhp+SaGEIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8h/wJ/p9nqiBSurAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ea9e86c2ef9092f5b1a96064db2a2b78246335bf65ce2a523bb98fb16f0a8b36"} +{"episode": 5955, "episode_seed": 1897026367, "split": "train", "timestamp": "2025-09-15T22:45:35.815806", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1897026367, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5584766605277911, -4.078540624097964, -56.60024208163628])", "action": "('move', [0.5584766605277911, -4.078540624097964, -56.60024208163628])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5584766605277911, -4.078540624097964, -56.60024208163628])", "action": "('move', [0.5584766605277911, -4.078540624097964, -56.60024208163628])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5584766605277911, -4.078540624097964, -56.60024208163628])", "action": "('move', [0.5584766605277911, -4.078540624097964, -56.60024208163628])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIqUlEQVR4nO3dXahlZR3H8f9ae58zIzU6CaZdFeZVSYF4ZTYGZiEqZcaIk1NgTKg5Y8rIqEjiCzoO4jCKxTRGNi8laJOBjdSVzG0hJHg3F0JhaTcaNjlz9t5PF3tjFuJLZMezf5/P1YFz85yL73me9ay1ntW11grI0C/3AID/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkOFyDwDeX63Nfui6ZR3HB4MZnnk2rb3rqutqMlnu0XwACJ551nXVWu3fX3/8U/V9jcfLPaDlJnjm1nR6v+OO2rixvrmxvfSXpnnBM5/G4+q6uv32uvPOWrVYzzzTXXVVe+WV1vfRa3vBM5+mW3TnnVenndaOHa/FxTr0dP+dTe31f1Ry8117YxMT5ktr1XV1+HBdctH4b68NFhZqaak2Xtl+8mg3GMx+m8YMz9ya7titW1ePP9GvPWmytNQGg9q3v7v2mnbsWNWb7tjlEDxzrrX60pe7Rx/t1p7Uqmo4rB/t6W65pY1GNZnEre0FzzybLtrH4/rKV7uHH+5XrWqt1eJi7dzZ3XVXDQZVYfO84JlzXVd9X0tLteEbtWtXV1VLS7WwUPfeWzt2VN9XJTVv044IrdVkUoNBPfhgXX/97L9AVe3cWZs3B23gmeGJ0HWzBfyWLbV9+6z28bi2bKk9e1rXpTyQI3iCtFat1bZtdeutNZnUwkL1fV1z9eTA/jYY1Gi03ON7/1nSk2W6tm+ttm1rDzzQDYfVqlYvTvbura9d1k8ms8l/XgmeONPgl5bqe1va7j01GHSt1Ylrxj870F94UTffzQueRNOqjx2rTd+e7DvQD4c1GtWHPzR+8snu/C/24/Hsgn/+CJ5Q05358biuWD9+/ODswduPnDR+6tfdOZ/rR6MazuPpMIIn17T5o0fb5V+fPPV0v7DQLS3Vx04dP3VocNZZNZfz/PxerMA7mT5sf8IJ3U/39+d/Yby01IbD+vNLg8sua889V4PBHN6rEzzRpkdfnXxyd+CxwbnnTEajNlyoF17o1q+v55+fw+Yt6WG2en/5pXbxxfW733eLi3X8eH32M+3gL+v007t5Wtub4WE2k3/01O4XB7szz6zjx2vVYv3huW7DFe3FF+dqnjfDw8z0Xt2RI3XhhXXkSBsOu9Go1q2bPPFEf8opNR/351f+XwD/I31frdUZZ9SvnmxnfHIyGrXhsA4f7jde2f768pwchid4+JfpHt6nPt39/LHBJz7eRqO2alX95rfd1dd0r746D4fhCR7+Td/XaFRnn1379vWnndqOHavVq+vgwdqypY4eXfHNCx7+0/RJ23M/X3v39WvX1uuv1+Ji7d1bN95Yo9HKbl7w8BaGw2qtLrig9u6tNWvq+PEaDGr37rZ16+zE+xW62S14eGvTqi+5pB7ZUyeumR6Y0+3aVbfdNrvUX4nNCx7eznhc6y+vnTvb6tU1PQBz+/Z2911terL9imvefXh4O63VaFQLC/XQQ3XDDbNzcsajyY776sat/Rtfp10pzPDwdrputoe3eXPdfffs5Izq+5u21Q8enqy4i3nBwzuYHoDZWt18c93+/UlrVa0mk/6717UfPzKZ3sZbKSzp4d2avj+/7abJjvu74bAbj6uv8b79/RUbupVy0LUZHt6D8bju29Ffd+1kNGp9X60bbNrU9u+f7dt/8Ake3q3p5yvGk7r/gcFV35qMx5PJpP5+tH/22aoV8vkawcN70HXVdbW4WD/cPdiwoa+qrVvrnnuqtZXxzrxreHjPpq/KvvZaHTpUl15aCwvLPaB3TfDw33jzLt1K2bErS3r470wL9+ANBFlBqU8JHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8E7N4EvIXehMoAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c750abc9045aaba5cfba0699473bad3c110acdb99668d85997f36c7da6d1cf0f"} +{"episode": 5956, "episode_seed": 3156023815, "split": "train", "timestamp": "2025-09-15T22:45:36.804256", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3156023815, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9846914737237599, -4.536405032797112, -47.35976316522851])", "action": "('move', [-0.9846914737237599, -4.536405032797112, -47.35976316522851])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9846914737237599, -4.536405032797112, -47.35976316522851])", "action": "('move', [-0.9846914737237599, -4.536405032797112, -47.35976316522851])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKSklEQVR4nO3dT4jcZ+HH8c/szG62VmJba6kehIJ68eBBvCiiIEKFovVQMJQsVg0lRCzaihLQQkELWlFpbUkgaWwEg7ZIQURRclFBRTx4VrRIW7Cm/indJDM7M7/DTOtPEaxtk93s5/U6bnJ4WOa9z/N9nu93voP5fB6gw8p2DwC4eAQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRXqDn822ewRw0ZUGP5tlZUXz1GkMflH7009nZSXz+XaPBi6iruDn82XtX/963vve/Pa3GQw0T5HBvOnzPp1mMMj99+f22zMe5w1vyKlTeetbM51mONzuwcGFVzTDL+b2v/wl3/texuNcdll+97vcdFN++csMh9na2u7xwYVXFPziiv2aa3LkSN7+9pw9mz178oc/ZN++/OxnGY0ymWz3EOEC61rS57l5/o9/zMZGfvrTrK5mMsnrX5+HHsq73rX8V9it6oLPc80/8UT278/p0xmNsrWV1742J0/mPe/JfJ7BYLuHCBdG43S2spLpNK97Xb797Vx/fba2sraWJ5/Mvn35wQ8yGGQ63e4hwoXRGHyy3KW75pqcPJkbbsh4nPX1PPVUNjby6KPLf+1b+rD7lQafZDTKbJarr843v5kbb8y5c1lfz5kzueWWPPKIPTx2p9F2D2A7Le6uveqqPPhgRqM8/HDW1vLXv+ajH814nH37nM+z21QHn+eav+KKHDuW0SinTmU4zN//nltvzWyWm2+2h8eu0rukf97ifH7v3hw7lo2NTKdZXc0zz+TAgRw/nsHAMzbsHoJPsqz6Fa/I0aP52McymWRtLWfP5uDBHDmSlRV7eOwSgl9anNXt2ZMHHsitty737cfjfPzjue++5Vm95rnUCf6fhsPMZhmN8o1v5NChnDuXtbVMp7nttnzta1lddT7PJU/w/2JxPb94fva22zIeL39y++25557lSR5cugT/7xZ78isr+cpXcscdyydqk3zmM7n77mX/1vZcogT/HywKHw7zpS/l8OHlvffzeQ4fzl13Lb8zQ/NcigT/ny327QeDfOEL+fzns7WV0SiDQe68M5/7XJLMZprn0tP4tNwLt/jdDAa5667ceWdGo0ynmc/z2c/mi19czvxuy+ESIvj/YrF6X1nJ3Xfn8OFl4dNp7rgjX/6y5+e5xAj+v1t89eVwmHvuyac/nWR5LL84rlv8B/M8lwTBvyDPN//Vr+ZTn8pgsHyE9tCh3HdfElM9lwYf0hdkMFjeivfJT+beezMcZjpd3qJz8GAmE6+14NJghv8fPL+Hd/RoPvGJTCbL6/lbbsn992d93dqenU7w/7PF6v348Rw8mPF4Odvv35+jRzXPTif4F2NxLP/QQzlwIONx1tYyHudDH8qDD2qeHc01/Iux2KXf2Mjx48uH6vbsyalT2djI5qZH6Nm5BP8iLZq/+eacOJHLL8/581lby3e/m42NPPPMcocPdhpL+pdk8aV3jzySj3wk//jH8rUWH/hATpzIFVc4q2PHEfxLtaj6+9/Phz+cM2eWM//11+fkyVx9tet5dhYT0Eu1WL3fcENOnsxrXrPcz/vhD7NvX/70J6+jZmcR/MtgOMxkkve9L9/6Vq69dvkqm5/8JEeOJHExzw5iSf+ymUyyuprTp7N/f554Ih/8YI4dy5VXbvew4P8R/MtpsZ4/fTonTuTee/OqV7mGZ2cR/MtM4exkruFfZou7bly3szOZ4aGIGR6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCD7e9k4PwT/34jjNU8DTclCkeIZf/KV7/PEcOpSbbspvfvPPH8IuVR/800/n1Kk8/HCefHK7BwQXXH3w83le+cqMRtm7d7sHBBdccfALk0k2N7O1lT17Ekt6drn64GezDAZZW8tll233UOCCG233ALbb5maeeiqJF77SoDj4xXse3/KW/OhH2dzMddcl8RXT7G7O4aFI/TU8NCle0i88+2weeyx79+baazOq/22w2xXP8Iu3w/zqV3n/+3PgQP7858TWHbtc/Zx25kx+//ucO5fJJLFpxy5XPMMvTCZZWclVV1nP06A4+MVkfvZsZrOMRstTOtjV6j/l588nydqaGZ4GxcEvZvjxOEn27DHD06D4U74I/vz5DAaCp0T9p/zZZzOfZzgUPA3qP+VvfnPe/e684x1ZW9vuocAF5156KFK/Nb21ldksw2GGw+0eClxwZngo0noNv/gzN5nkgQdy4435znd8uRUNWoNf2NrKj3+cRx/NL36xPKWTPbtad/CLF86srOTyy7d7KHAxdAc/neb8+cxmyzO5+dzTcuxu3cHPZst76X1HNR26g5/Pc+5ckqyvb/dQ4GLoDn46XT4P//ySHna1+uD/9rfMZlld3e6hwMXQfafdcJjrrsvmZl796sQMz+7Xfafd1lYeeyxnzuSNb8yVV9qlZ9frDh7KdF/DQ5nua/hz5/LrX2d9PW96U/butaRn12ud4RcXMo8/nne+M297W37+8+S5V1PA7tU9wycZDrO+vnw5vOmd3a51hl8YjzOdZmXFt19Qojv4xX21q6u+lJ4S3cdy02k2N7OykvV1kzwNuoOHMt1LeigjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyf27RryFNUSJ5AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9846914737237599, -4.536405032797112, -47.35976316522851])", "action": "('move', [-0.9846914737237599, -4.536405032797112, -47.35976316522851])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "dda4a24465542a20a2df778567a7435de313a0c4d4fc80a1310d9d84064a1d9c"} +{"episode": 5957, "episode_seed": 2113192842, "split": "train", "timestamp": "2025-09-15T22:45:37.440724", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2113192842, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.229517843606716, -21.02010187936387, -54.978207648292994])", "action": "('move', [-9.229517843606716, -21.02010187936387, -54.978207648292994])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ6ElEQVR4nO3dS49U1R7G4bequjERgYOoKAgoUUFRUeTmJXFiHOhAv4FfRAeO/QyOnDswcSJTbS+oxEQUCKhNN3JJ2yIKRrqpOoNd6QbFwTmHTZXn/zwhDKqqYaXhV2vtvVfX7gwGgwA1dEc9AODmETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGC/z83GKTfz5Urox4H42Fi1AOgFYPB8PduN53OqEfD2DDD/+MNBsNp/GqdTjqddLu5dCkHDuTdd0c0OMZMZ9DMBfyj9PvDzrvddK990/7jj8zP5+DBTE3lww9z4kR+/TVr12ZmZkRjZZwI/h+jibzfT6eTiasOxX7/PfPzmZvLoUP55JNMTeXw4etM+IcOZefODAZW+KU5hh9rTeFNvZOTSdLrJcn585mezvR0jhzJF1/kyy9z/PjyV01MpNvN4uLyI7ffnu++EzyCHz9L59sGg/R6w19Jzp3L4cP5+uscPZqjR3PkSGZnl79qcjKdTi5fTjJMff367NiRHTuybVsefjiPP57kz+t/qrGkH7Glb/91J97Z2Rw8mM8/z1dfZXY2p05lbm752eYM/NWX3DZtyp492b07jz2WTZty771Zt67N0fNPI/ibrZm6m+96M3VfbXEx33+fjz7K1FQOHszZs/nll1y6dP0/qtNJr5etW/Pss3nmmezZk7vuypo1ufXW5dc0F+GbV1rMI/ibYenK2WCQiYlrwvvtt5w/n5mZfPpppqby8cc5fXr4yutatSpr1mTz5uzbl2eeydNP5+67//zGsXSVrrk4p3OWOIZv1+Ji+v3hWbSl4+fTp3PqVKanc+hQPv88n32Wn39e/pKJv/ybbNiQjRuzeXN27cru3dmzJ2vXXufvuvro4K9rB4gZ/qY5cSLffptjx3LkyPDc24ULw6c6nUxOpt+/5rz6Aw9k+/Zs25bt27NjRx59NKtWLT/brNLN3vynBN+K5urXxYt5771MTeX48Zw8menpXLy4/Jom8qtPuT3+eHbtyq5defDBbNmSLVuuORpfWEgyXCnonP+O4FvRBH/2bF59NZ988rcvu+WW7NqV/fvz9NPZsSPr1mXt2qxYsfyCpcibfbLwP3IM36J167J9+3LwvV5Wrszq1XnkkTz3XJ59Nk88kdtuu6bwZLjTpim82WwDN4rgW9FcHp+YyP79OXAg99+frVuzd2/27s2TT17ntFxzGr9ZqP91ezzcKJb0bVla1c/MZPfua55qJvD8zWYbaI/gb4bm5JxDcUZO8O1q9sA4r86YEDwUYn0JhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgr8plm4uBSMl+Jui08lgMPzQaRgdn3hzUyws+MRpxoEZvmXN7aPefjuvvJLXX08yvM8jjILgW9YsoD74IO+9l/ffTwTPKAm+Zc2n1Z4/n4mJ7Nu3/AiMguDb1NwO/vffc/58FhezceOoB0R1gm9Ts57/8cf89lsmJ3PffYkZnlESfJua4M+cycxMFhayadOoB0R1Lsu1qbm/3IULOXw4587l+efzr3+NekyUJngoxJIeCnF/+PYdO5Zff8399+f220c9FKozw7em2WDzxx9544289FLeeWfUAwLBt21+PtPTOXculy+Peigg+PY0Z0Pn5jI/n24327cvPwgjIviWzc/n7Nn0+9myZdRDAcG3p5nMf/opFy5kcjJ33jnqAYHg2zY3lyRbtmTFilEPBQTfksEg3W6SnDmTJJs355ZbRjsiiOBb1O1mcTEnTybJhg3DGd5PzjBSNt60YynsV17JYJAXXrCkZxzYSw+FWNK37MqVXL7sY60YE2b4NjU/HgtjwwzfjmZK//DDPPVUXnstp08vPwij46RdO5qJ/Ztv8uWXuXTJRnrGhBm+HU3ws7PpdvPQQ1m7dvlBGB3Bt6a5CN/vZ/36rFw56tFAIvgWLSwMd93cc096vVy5YoZn5ATfgubCx8JCfvghSdavT5yxYywIvjULCzl1Kr1e7rgjcQDPWBB8a06cyMJCer2sWzfqocCQy3KtmZjIiy9m5crh/Se63lsZPTvtWnbhQm69NRPeWBkLgm/NYLD8U/EwHgQPhVhqtubNNzM5mZdfzs6d6fdN9YwDwbdjYSFvvZWLF9PrZefOXLkieMaB/4U3WnOINDubTicrVmTr1sRFeMaF4G+0Jvjp6Vy6lJUrs2FDInjGheBvtKXg+/2sXp2NGxPBMy4E347p6SRZtcoMz1gR/I3WzPAzM+l0smZNVqzI4qLgGROCv9Ga4I8dSzK8n5ydDowNwd9Qg0F6vSTDT7ywnmfM2GnXjlOnMjeX9etz990+u5bxIXgoxJK+HYNB+n1H74wbMzwUYoaHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8m9IIk+dj4juEQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.229517843606716, -21.02010187936387, -54.978207648292994])", "action": "('move', [-9.229517843606716, -21.02010187936387, -54.978207648292994])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.229517843606716, -21.02010187936387, -54.978207648292994])", "action": "('move', [-9.229517843606716, -21.02010187936387, -54.978207648292994])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "9f2fdcd0a7ede05adfbbae5e8c48e31df9b091835f7be5b71125926c3b690667"} +{"episode": 5958, "episode_seed": 2327708084, "split": "train", "timestamp": "2025-09-15T22:45:38.086615", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2327708084, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.12649045471111958, 2.2439040424547008, -58.444904910977925])", "action": "('move', [0.12649045471111958, 2.2439040424547008, -58.444904910977925])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJq0lEQVR4nO3dyW4c1R7H8V+37SQdJYHMiEhkEJOCYAcLJIRAYs8SsUA8AE8CT8EjwJINC0TEAtgAEpCgQEBKYmcgAxnAnbqLKmxs2onF9b1N1//zWbV7daT2V+ec6lPVg6ZpAtQwnPYAgP8fwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOCZ5N69jMdpmmmPgy02aHyoUMb8tAfAv9Lp0/n44yws5I03MhqlaTIYTHtMbAHBs1bb9kcf5Z13cuxYXn45J07k3r3MzU17ZGwBe3gmef75bNuW27fzyy9JbOZ7Q/BMcuxYmiaLi4LvGcEzyc6dOXkyTZNz55LYwPeG4FmrbXv79jzzTJKcPdtt4E3yvSB4JllYyNNPJ8nZs7l61QzfG4Lnb9rJ/OTJJPnhh1y6tPomM07w/E3b9tGjSXLxYm7dWn2TGeekHRu4eTNnzuTYsezZk6GJoScEz4OMx07d9IbgoRBHa5mkPWB7+XJOncrNm3n9dSfq+0HwTDIeZ34+p07lzTczHueVVzIaTXtMbAEXY5ikncl37cpgkNu38/PP0x4QW0PwbOyxx3L8eAaDfP114oBtHwieSdq2H300R46kafLNN9MeEFtD8EwyHGZ5OaNRjhxJIvjeEDwbuHcv+fO8XbukZ/YJng20p+tOnMjcXM6fz9mziQO2M0/wbKDdxj/+eA4ezGiUH3+c8njYCk7asYH2mM21a/nggzz0UF56Kfv2OXsz6wQPhVjSc19N4xcp+kTw3NdgkMEgv/2W777L7duJ63azTfBsrP1m7tNPc+RIXnwxX321+iazSfA8yGOPpWly5Uq+/TYxw882wbOx4TBNk6NHc+BAknz/fWKGn22C577a+fzJJ5Pkhx8St9DMNsFzX23ezz2XJOfP586dzM9b1c8uwbMJzzyTwSAXL+bcuQwGVvWzS/BswnPPZTDIpUvdkzDM8DNL8NxXu6RvfzH60iXX7WadZ9qxCTt35t13Mxrl1VfTNJn3bzOrnKVnE/56z4z7Z2aZJT2bMBis7tvVPssEz6Zdu5affupO1DObBM+DtJfoLlzIW2/ltdfyxRdJMh5Pd1D8M4Jnc+7cyWef5fRpj76ZaYLnQdpN+759eeGFDIc5fTqJn5ecUYJnc3bvzvHjSXLmjBvjZ5fgeZD2LO1wmCeeyL17+fzz3Lgx7THxDwmeTWiv2x0/nr17s3u3k3azy8EbNqE9bLO0lK++6n5wzh5+NgkeCrGkZ9OaJsvL1vMzzQwPhZjhoRDBQyGCh0I8yYD13AjbY4JnjfYa/NDKr6d8sKwxHGY4zPKy2977yQxPZzzO3Fw+/DCffJKLF7N3b957L9u2TXtYbCnfw9O5ezfbt+ftt/P++0ny6KP58sscPtzdOEM/+CTptFU/9VQWFrKwkG3bcvly4i7YfrGkZ409e7K8nKbJzZu5dGnao2GrmeHptF/C7d+fHTuS5O5dM3wPCZ419u/PaJQkt293wdMngqfT7uFXZvjl5S54d8f1ieBZYyX4xAzfQ4Kns24Pn+TKlSkOh/8JwbNqPM6uXavBX7+eJMOh63b9IXg67cNpk+za1b1z40bGYz8V2yuCZ1W7qj90qPvz+vVcu5b4Zq5HBM96K8HfuCH4vhE8q9bN8CvB0xuCZ73Dh7unzt+40V23M8P3huBZtTLDtxfqrl/Pr79OdUBsNcGz3qFD3am7P/4ww/eN4FnVzvAHD2Z+vnttD98zgme9lT18kqtXE0+z7BHBs6oN++GHs7DQLePb07UO2/WG4FmjDfvAge7PK1cyHnvEVX/4JJngkUe6F1eu5NatqQ6FLSV4Jjh8uHtx9Wr3vGpL+n4QPBOsBG+G7xnBM8HKkv7yZcH3iuCZoJ3hB4NcvdoFb0nfD4Jngjb4ubn8/rvfnOoVwTNBG3z7bVx7upZ+EDwTrFy0S7qfo/BVfD/4GJlg587s2JHxOEkuXkycru0LwTPB/HwOHeoecbe46IpdfwieNdqZvA2+7XxpKcvL0x0UW0bwTDA/n4MHu9dLS/njj8Q3c70geCaYm1t9st3iYhc8PSB4Jvhr8CszPD0geCZbOXuzuGgP3x+CZ712r97u4efmcudO7t6d7ojYMoJnvTb4leP0SZaWpjketpDgmWzv3uTP+C9cmO5Y2DKCZ7LRKAsL3e59cTFx2K4XBM9kO3Zk377usJ0ZvjcEz2SjUfbv7163x+npAcGzXrt037FD8D0keCYTfC/NT3sA/EuNRjlwoLsNvr1oRw8IngmaJnNz2b27u2h35kyaxlX6PhA86w0GGY8zN5eTJ/Pss9m1K4cP5/ffs337tEfGf23QuOmRDbT3zCwsTHscbB3Bcz9N0529kX0/CJ4Ntf8atu59Yg/PhqTeP76Hh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjkP91SEXU9atd3AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.12649045471111958, 2.2439040424547008, -58.444904910977925])", "action": "('move', [0.12649045471111958, 2.2439040424547008, -58.444904910977925])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALB0lEQVR4nO3dW4gW5QPH8d+8h7XVNBWLVFh3JcMUjED3opNr7F5IaUWF1UUYVEh6sZRsdBFBdGC3cyQSQnUR0oWKexGUsSxESuCKFxqYBzZN8LRZluVu72G6mHE3aw9v/Zf/vjO/7+fyZYWB8fs+zzzzzLxBGIYC4CEz0QcA4P+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPIZTLqtUUhhO9HFgnAUhJxWwkZvoA0BVOnJE3d3K5/Xww6qtVRgqCCb6mDAOCB5XitretUsbNqi+XsuXa/58lcvKZif6yDAOuIbHcJYtU02NLl3SyZOSuJhPDYLHcOrrFYY6e5bgU4bgMZzJk7VokcJQJ05I4gI+NQgeV4ranjRJixdLUm9vfAHPIJ8KBI/h5PNauFCSenv100+M8KlB8PiHaDBftEiSjh1TX9/Qh0g4gsc/RG3PmydJZ87o99+HPkTCsdMOI7h4UUePqr5e06Ypw8CQEgSPsZRK7LpJDYIHjLC1FsOJNtj++KP27NHFi7rvPnbUpwPBYzilknI57dmjRx9VqaQVK1RbO9HHhHHAYgyGE43kV1+tINClS/rhh4k+IIwPgsfI6urU0KAg0MGDEhts04DgMZyo7TlzNHeuwlDffjvRB4TxQfAYTiajYlG1tZo7VxLBpwbBYwTlsnR5v100pUfyETxGEO2umz9f2axOnVJvr8QG28QjeIwguoy/4QZde61qa/X99xN8PBgP7LTDCKJtNhcuqLNT11yjO+7QzJnsvUk6ggeMMKXHqMKQX6RIE4LHqIJAQaDfftN33+nSJYl1u2QjeIwsujO3e7fmztWtt+rAgaEPkUwEj7HU1SkMdf68Dh2SGOGTjeAxskxGYah58zRrliQdPiwxwicbwWNU0Xh+442SdOyYxCM0yUbwGFWU95IlknTqlPr7lcsxq08ugkcFFi9WEOjMGZ04oSBgVp9cBI8KLFmiIFBfX/wmDEb4xCJ4jCqa0ke/GN3Xx7pd0vFOO1Rg8mR1dKi2VnfdpTBUjv82ScVeelTgr8/M8PxMkjGlRwWCYOi6ndqTjOBRsQsXdPx4vKMeyUTwGEu0RHf6tB57TC0t2rdPkkqliT0o/DcEj8r09+ubb3TkCK++STSCx1iii/aZM9XYqExGR45I4uclE4rgUZmpU9XQIElHj47+YDy3faoZwWMs0V7aTEYLFqhcVk+Pfv11pL8tl9l6W9UIHhWICm5o0IwZmjp1pKBLpfjd1pkMzVcpNt6gAtFmm3PndOBA/INz/7iGL5WUzersWT33nG67TU88MSEHijEQPP5X0f+gINDXX+uZZ7R3r6ZP165dWraMXXlVhyk9KhaGKhb/NlmPLtqDQJs2adUq7d2rq67Szz+rtVUDA/E/QvXgKQhULAj++thMGKpcjqfxzz6rTz6RpFxO/f2qr1dbm2pqFIbxVT2qBFN6/BeDA/tXX2n9eh08GL//Lgx1zz3atCl+8yXz+WrD1y/+tWg1vlzW66/r7rt18KBqalQua/Jkvfyydu5UXV38jYBqwwiPfycat0+eVGurtm+XpFxOxaJuuknvvafm5nicZyZfnTgtqFS0WhcE+uILNTVp+/b4ir5Y1Jo16upSc3P8TA21Vy3ODMYW/cBcJqP+fr30klav1rFjqqlRsagpU/TWW9q6VbNnx7fimclXM6b0GENUey6no0e1caM6O+PV+kJBS5bo3XfV1BT/GalXP0Z4jCYaDnI5bd+ulSvV2al8XmGoQkGPP67PP1dTUzyNp/ZE4D48RhQN2oWCXnhB77yjgYF4YJ82Te3tWrdOuryjFknBlB7DGNwte+iQNmxQV5cyGQWBSiUtW6b331djY7yGx/pcsnC68HelUryp5tNPtWKFurri2+yS1q3Trl1qbIz/htoThzOGKxSLymZ1/rza2vTIIzp9WjU1+uMPXX+9Nm/W5s2aPj3eUctFexIxpUdscG98T4/a2tTdrWw2/vDOO/Xmm1q6NH4RBpKLswfp8t74bFYff6x771V3t/J5lUoql9Xaqs5OLV069H4LJBer9O6iGV4mo19+0caN+ugjFYvK51UoaPZsvf221qyRWI1PC6b01gan6Pv26ckntX//0NupVqzQBx9owQL2xqcKp9FXsahMRoWCtmzR8uXav1/5fPzQW1ubvvwyrl3ce0sRpvSOBnfLnjypF1/Uhx9KiqfxCxbotdf0wAPxn7EUnzJM6e0MTtG7u9XWpp4e5XIql1Uua9UqdXRo4UKu2FOLuZqXaNDOZPTGG3roIfX0aNIkFYuS9Mor2rpVCxeqUKD21GKEdzG4W/bcOT39tLZtk6RsVqWS6uu1ZYuamyVW49OOEd7C4ANtXV26/XZt26Z8Pv78/vu1e/fQm2qoPd0IPv2iQXtgQK++qpUrdfiwampUKGjGDHV0aMcOzZkTT/VZoks9pvQpF5V8+LCef147dkiXX0F3yy1qb1dLy9D7Z+GAET7Nopg/+0yrV2vHjngaXyxq7Vrt3KmWFhUK8XOvMMF9+PS77jodP65sVoWCpkxRe7ueekr5fLyFFlYY4dMs+nGI6JUVkm6+WV1dWr8+vvGe49veD+c85aLp+tq1KhT04IOaNSue57Nb1hOLdl7YLWuO73kXpRK1gxEecMIIDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASN/Ai2z0WXQ2I5JAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.12649045471111958, 2.2439040424547008, -58.444904910977925])", "action": "('move', [0.12649045471111958, 2.2439040424547008, -58.444904910977925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "703c909ec574a48d1dafc66e731f528fc3bbc43d45ceadbc7bb7c9edb6dfe293"} +{"episode": 5959, "episode_seed": 3141809592, "split": "train", "timestamp": "2025-09-15T22:45:39.089776", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3141809592, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-31.298564651374253, 47.939553261579334, -44.117036287993095])", "action": "('move', [-31.298564651374253, 47.939553261579334, -44.117036287993095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-31.298564651374253, 47.939553261579334, -44.117036287993095])", "action": "('move', [-31.298564651374253, 47.939553261579334, -44.117036287993095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-31.298564651374253, 47.939553261579334, -44.117036287993095])", "action": "('move', [-31.298564651374253, 47.939553261579334, -44.117036287993095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "5ad0db462667c981c3f7a7e43835bdb95362c4d7a170a83c533ee2bd3c620237"} +{"episode": 5960, "episode_seed": 3921964647, "split": "train", "timestamp": "2025-09-15T22:45:39.737092", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3921964647, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.475965718209584, 1.784622984269902, 42.581075484108396])", "action": "('move', [7.475965718209584, 1.784622984269902, 42.581075484108396])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKt0lEQVR4nO3dy2tc9R/G8efMZDKppmlphGDFCwEFQRRxUboQtAtpRZveMLEuapMmwYIWLFjQlWIpiBC8BMxFq2IuLSVp7Fb8AwRbEOrCnRFR09jcVGaSmTkuzvkltfpDU5rMnHner1WaQjhh+u73nM98z5kgDEMB8JAq9wEAWD8EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwWN9hWG5j8AawWO9RKkHAc2XEcFjXZRKCgJJ+vHH+AuUA8Fj7ZVKkhSG6unRE0/oiy/iP2LdETzWWBgqldLiol56SceP69tvNTAgiXW+LGrKfQBYnTBMVCnR4U5N6cgRXbggSU89pddfL/dh+SL4JLm29gSUHx3ilSvauVOXLklSd7feflv19Uk4+urEKX1iRGOvuTn19WlqSkEQXxpXojBUsRh/0dioRx5RQ4NOntQHH6i+XsUitZdLEDI7SYLoVZqdVVeXzp1TW5v6+tTQUJEr5bXHVCoplVI+ry+/1K5d1/8t1h0rfAJEtRcKevVVnTun2lqNjqqzU3NzlbfOR+ch+bxOnNDEhFIplUrKZrVrV3yg1F5WBJ8AUSNBoMcfV1OTFhdVV6ezZ9XdrYUFpVLx6XP5Rev5zz+rrU1vvaUXXtClSwoCFQoqFpXiH1v5MbRLjFRKzzyjbFbt7bp6VXV1OnNGQaD+fm3cqGJR6XT5Di4MVSopndbFi+rs1MWLkvTkk7r77vjQqb0y8DIkQxDEK3lLiz76SJs3K5dTNqvRUXV36/fflU6X9dw+CJROa3xcu3fr4kVt2KCTJzU4qC1b4kNHZWBolzDRWfOFCzp0SDMzymS0tKS2Ng0MlO/drjBULqeBAb3yivJ53X67enrU2rrux4F/R/DJE1X9+efq6ND0tGpqVCiotVX9/WpoiP9HWO+jGRxUZ6ckPfig+vu1bRvT+MrEuVbyRFOw3bs1OKjbblOhoGxWZ86oqyue4a3TuX0YruyHf+ghNTdrxw6Nj2vbNt5pr1is8IkUhioUlMno/Hl1dMQzvFxObW3rMsP7x9X7u++0aZOamlQoqIZhcIVihU+kIIjP5Pfs0YcfXj/D++23tZzhLf/c4WE9/7ymp+Nv3nefmppUKlF7JeO1Saqo+VJJe/YoCHTokObmVFOjkRFJGhjQrbeuwfV89BNLJb33nk6cUC6nu+7SG2/EG4AYyFc8Xp5kS6UUhmpp0aefxtfzUfMdHZqfv9nX89Hmmfl5HT+uY8eUy+mBB/TYY/GVfCrFdXvl4xo+8Zb3vExM6MgRTU+rtlaLiyvX8zdnnY9+yvff68UX4xtdd+5Ub6+amxnIJwgrfOJF59FLS2pp0cCAGhvjvbfR9fzNmdtHtX/1lVpa4tqPHtXIiJqbVShQe4KwwleJ6IbUmhqNj6u9XbOzymaVz+vgQfX1qb7+Rtf56L23VEqTk3r0UU1OqrZWp07p2DGl0+Xe0ItVY4WvEtEMr1jU3r06fVqbNimfVyaj4WF1d+uPP+Kr/dW5dg535506elT33KOzZ/Xyy0qnFYbUnjis8NUmuqCemFBHh379NV6Gb+R6Plq9cznV1ioIFARaWNDCgrZuXdtfAGuJFb7aRG+QtbRocFCNjSoWlclodHSV+/CiMeAPP6i1VZ98Ej9MfuNGbd1aYfffY3VY4atT9P7c2Jg6O1f24f2n6/nlj4v4+mu1t+ubb5TJ6PJl3XtvnDrvtCcZG2+qUzqtQkH79klSR4dmZ1VXp+FhBYH6+v7/npzl705MqKtLU1PKZPTmm7rjjnh0h4Qj+Oq0PMOLmj98WPPzymQ0NCRJ/f265Za/NR8lXSjonXf02mvK59XUpPff14EDZfkVsBY4pa9y0Qzv/Hm1t2tmJt6B/+yz6u//2/3zpZJ++kmnTqm3V5Iefli9vdq+fd1vuMUa4oWsctEML7rHprFxZe9tNMNb+WTHaNvsyEhc+9NPa2xM27fzLLoqwwpv4d9neCopCDQ5qYMHdf/96umpgAfl4eYjeAvL98+Pja3M8HI5PfdcPMNbSfvKFW3erEyGM/mqRPAulu+xGRuLZ3jR3tvl5uN1Poqc+2GqFMF7iZbt8XEdPhzfP3/9DE//ex8e1YhzNi/Rjvpov/2WLf8wwyuFAbVXMd6HtxM9A3PvXpVK6urS1avKZjUyEu/JufH76pAEBO8ondbSkvbvl6TOTs3M/Ld9eEg+gne0/AzM/fsVhvHzsLJZDQ3Fn121YQNju+rEf+Omlp+BeeCATp9WQ4PyedXU6LPP1NmpX36h9upE8NaiGd6+ffr445UZ3tCQLl+WtPoHZqDicUqPeIYnxc/Gevdd7djBKX11Inh30ee+Rs3nclpYUFcXa3vVYuMNpGueValrHoGB6kPw+AvO5KsbQzv8BbVXN4IHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gSS2v7B6eORYwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.475965718209584, 1.784622984269902, 42.581075484108396])", "action": "('move', [7.475965718209584, 1.784622984269902, 42.581075484108396])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.475965718209584, 1.784622984269902, 42.581075484108396])", "action": "('move', [7.475965718209584, 1.784622984269902, 42.581075484108396])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3c249dZR3H4d9aew61/QMoReCKK/RKIdVr0gtOhaiVqOUw03BSThrAtCAkaCIYKIYSjRbbSgMmCiEBgsSkNlyQGP+CSpsQqFdA0qSFdvbMXsuLXUo0qBzazky/z3M9F29m5rPfw1r7bfq+LyBDu9gDAE4fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwXNa9X31/WIPItjEYg+AIH1fTbPYg8hmhud06PvqumqaeuONuvfeOnp0sQeUygzPKTeufTCo116r2dl+//5mfr4eeaTatlozzunl982pdaL2nTv69ev7/fubiYnaurV27qy2rYWFxR5fGMFzCo037YNB3b9lNDtbhw41ExO1sFAXX9xfcEH1vRn+dGt6Z6acGuPajxypW24c7X62bdumqrqu37Ch2fpYrTlnsccXyQcsJ1/f12hUTVMHDtRll3a7n20np5quq67r7rm737Wr1pxTo9FijzKSQztOshOb9r17a9OmOnCgnZ6uublatbJ75OH+1h8Mqmo0qsFgsQcayZKek6nrqqratnb8rrvjzvbw4RrXft55/bZf1hVXNeOHc57GLxZLek6a44dwTT1wXzczW4cP18REzc3V2rX1wgvNFVc1o1G1rdoXkxmek6Prqm3r0KG6/bb+6d01mGiqr9GoNmyoxx+vs8+2jF8SzPB8XuMjuratffv6K6+sp3fX9HQzWqjRqLv7R93OnWpfQhza8bmcOKLbs6ebvaHefKuZXtHMHatVK/uHf17fv62tOv4DLAWW9Hx2J07gdu3obr2l/2BuMDVVw2F//vnNk9v6yy5vxv9cNu1LhyU9n9F4076wUA8+WNfP9B/MDSYmazjs167tX3yxLrvcgfxSZIbnsxjvyd99r+66s3bvronJ6kc16rpvfbN/4onBWatt2pcoe3g+nfENFoNB7dtXMzP96683U1M1HFZV/8O7+od+Oli5Uu1LlxmeT+HEnnzvX/trN3Zv/3MwPVVzw1q5sh59tG6+uerDpT5Lk+D5pE6U/Ptd/U039seG7eRUzQ/7c89ttm+vdeuq3Gmz5Pko5hMZP2k/dqweeKCuu77m5tvJyZof9hd9tfvzK/26deVAflkww/P/jef2d96pO27vnv1DOzExftmm/8bV3bYn29VnN5bxy4VDO/6X8XTQtvWPff21G7u//X28jK+quveeuv8ng1WrHNEtJ2Z4/qsTG/K9e2vjxv7gwZqabIbzNT3dbdvWbpqtatS+zFiH8fHGN1hU1Y4ddemldfBgMzXVDOf7c1aPXnqp2bSpqjn+fI5lRPB8jPG8ffRobdncz8zU0aM1OVnDYV30lf7Vv7SXXOKd2eXKkp7/ND6Be/ed/tZb+j8+1wwGTdPUwkJd8+16bKuvvi1vDu34N+NLLPbt668bH9FNNvPzVdVv2dJs3lzeolvuBM9xJ1bpe/bUDdf3b709/upbTU2MfvXrdma2yhddlz97eKo+vIuuaeq3v+nXr6+33m6np2s4rC+ePXr55WZmtqlyjfyZwB+Qqqq2reGwfnzP6Mab6siR4zdPfv1r/Suvtpesa8dXSjuiOwMInur7evPN2vi9/uFfNG3bDCZqbq777nfq+efrS19ubNrPJIJPN3675v3360/PNYOJtutqtNDdt7m2P1VnrVb7mUbw6Zqmuq4uvLCeeaZGC7XiC/1T25uHftauWOGI7gzklJ7jm/Nrrqn33qs1a5qrr/7oFXrOMF68gSA+w/nI+PoqzmCW9HzEg7cznhkegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwLtwcJiceylFkAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3c249dZR3H4d9aew61/QMoReCKK/RKIdVr0gtOhaiVqOUw03BSThrAtCAkaCIYKIYSjRbbSgMmCiEBgsSkNlyQGP+CSpsQqFdA0qSFdvbMXsuLXUo0qBzazky/z3M9F29m5rPfw1r7bfq+LyBDu9gDAE4fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwXNa9X31/WIPItjEYg+AIH1fTbPYg8hmhud06PvqumqaeuONuvfeOnp0sQeUygzPKTeufTCo116r2dl+//5mfr4eeaTatlozzunl982pdaL2nTv69ev7/fubiYnaurV27qy2rYWFxR5fGMFzCo037YNB3b9lNDtbhw41ExO1sFAXX9xfcEH1vRn+dGt6Z6acGuPajxypW24c7X62bdumqrqu37Ch2fpYrTlnsccXyQcsJ1/f12hUTVMHDtRll3a7n20np5quq67r7rm737Wr1pxTo9FijzKSQztOshOb9r17a9OmOnCgnZ6uublatbJ75OH+1h8Mqmo0qsFgsQcayZKek6nrqqratnb8rrvjzvbw4RrXft55/bZf1hVXNeOHc57GLxZLek6a44dwTT1wXzczW4cP18REzc3V2rX1wgvNFVc1o1G1rdoXkxmek6Prqm3r0KG6/bb+6d01mGiqr9GoNmyoxx+vs8+2jF8SzPB8XuMjuratffv6K6+sp3fX9HQzWqjRqLv7R93OnWpfQhza8bmcOKLbs6ebvaHefKuZXtHMHatVK/uHf17fv62tOv4DLAWW9Hx2J07gdu3obr2l/2BuMDVVw2F//vnNk9v6yy5vxv9cNu1LhyU9n9F4076wUA8+WNfP9B/MDSYmazjs167tX3yxLrvcgfxSZIbnsxjvyd99r+66s3bvronJ6kc16rpvfbN/4onBWatt2pcoe3g+nfENFoNB7dtXMzP96683U1M1HFZV/8O7+od+Oli5Uu1LlxmeT+HEnnzvX/trN3Zv/3MwPVVzw1q5sh59tG6+uerDpT5Lk+D5pE6U/Ptd/U039seG7eRUzQ/7c89ttm+vdeuq3Gmz5Pko5hMZP2k/dqweeKCuu77m5tvJyZof9hd9tfvzK/26deVAflkww/P/jef2d96pO27vnv1DOzExftmm/8bV3bYn29VnN5bxy4VDO/6X8XTQtvWPff21G7u//X28jK+quveeuv8ng1WrHNEtJ2Z4/qsTG/K9e2vjxv7gwZqabIbzNT3dbdvWbpqtatS+zFiH8fHGN1hU1Y4ddemldfBgMzXVDOf7c1aPXnqp2bSpqjn+fI5lRPB8jPG8ffRobdncz8zU0aM1OVnDYV30lf7Vv7SXXOKd2eXKkp7/ND6Be/ed/tZb+j8+1wwGTdPUwkJd8+16bKuvvi1vDu34N+NLLPbt668bH9FNNvPzVdVv2dJs3lzeolvuBM9xJ1bpe/bUDdf3b709/upbTU2MfvXrdma2yhddlz97eKo+vIuuaeq3v+nXr6+33m6np2s4rC+ePXr55WZmtqlyjfyZwB+Qqqq2reGwfnzP6Mab6siR4zdPfv1r/Suvtpesa8dXSjuiOwMInur7evPN2vi9/uFfNG3bDCZqbq777nfq+efrS19ubNrPJIJPN3675v3360/PNYOJtutqtNDdt7m2P1VnrVb7mUbw6Zqmuq4uvLCeeaZGC7XiC/1T25uHftauWOGI7gzklJ7jm/Nrrqn33qs1a5qrr/7oFXrOMF68gSA+w/nI+PoqzmCW9HzEg7cznhkegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwLtwcJiceylFkAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "324c97dbafc2e51a1b2d6849bb04f234635a9a0c1a19615e2f106c71a5ba9136"} +{"episode": 5961, "episode_seed": 3549183270, "split": "train", "timestamp": "2025-09-15T22:45:40.386872", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3549183270, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9307300942553013, 0.5539596710107311, 20.483880749576485])", "action": "('move', [0.9307300942553013, 0.5539596710107311, 20.483880749576485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9307300942553013, 0.5539596710107311, 20.483880749576485])", "action": "('move', [0.9307300942553013, 0.5539596710107311, 20.483880749576485])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ8ElEQVR4nO3db6jdd2HH8c/5c2/+gFlawqIVRhfFavtg1o0qFH0gwgrRB9VJbaWoLWaVtlvTVXTiKiMdrsZUyjLpmtqwDRRl2FohFa0UBEERNwtqwbV2DzTQrpSGbm3un3POHtyzpK51uK69t8nn9Xp6Lpzf4d73/f75/X7nN5jNZgE6DDf6AID1I3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIviNMZtlNtvog6CP4NfbWueDQQYD2bPeBL+uZrMMBjl6NBdfnO99L4NBkkynG31Y1BD8+lkbz48dy0c+krvvzu7d+fKX50P9ZLLRB0cHwa+fySTDYQ4dyj33ZGEhTzyR970vN96YpaWMRppnPQh+/YxGmU7zjndk9+6srGQ0ymiUffvy/vfn0Ufnr8JLajCza7SO1tbwx47lppvy2c8myXic1dW88Y35whfypjed/Bl4KQh+vU0mGY0ym+Xw4Vx9dY4fz+JilpezY0cOHswllyTJdJqhuRcvAX9W622t9sEgV1yRe+/Na16T5eVs2pTHH89ll+VTn8rx4xkOLel5SRjhN8zaUP/QQ7n22nzjG1lYyOpqZrNcemkOHMirXjX/AXgRGeE3zNrO/Gtfm698JXv3ZmUls1nG43zpS3n3u/ODH9jG48VnhN9gJ5brt92W667L0tJ8Sf/qV2f//lx66ckr8/5fnvtbtjFYSfAbbzpNZrPhKN++L3v+ePDzn8+b37Qpn/hEbrwxSSars9FglsySZDg8metkcnJbf+0inoiZX0vwG2F1dT5ZX0t0MJhlMM1gNBo88kj27Ml992VhPJuszqYZXn55brklO3ZkNRm/sLdbWcnycmazTKeZTDKZZHEx27a9mJ+IU4TgX0bWpvfHj+eGP8vf/l0yzXgwXZ0O3/KWfP4v//38sx5anW4b/8exnHtutm9Pkqefzg9/mCefzPJynnkmS0s5fjxLS3nmmbzudXnve7O6mvE4t92Wb30rq6vzV596Km9/e/bv3+BPy0YQ/Ppa23n/+tfz4x9nOMzSUpaXs7SUlZU8/XR27px99KODbduS3PonD//F53/7qcErFqbTlenwrPzbrWfd8keDf5g9tpx77hpc9IdJ8vDDedvbcvTo87zRW9+a73wny8tZXMx73pOvfvVXXr3ggpP37tDkBU4SeYFWVzMa5XOfy/33P8+rZ5wx2LNn9opt01n+dPc/n/M3f31t7ngo5y+OJkdz9uVH/+pfx7/156s35cnHp7MMB8nmzTnnnKysZPv2LCxk8+Zs2pTNm7OwkAsvTDI/rXfZZdm1K1u3ZnExW7ZkcTG7dqm9kxF+fa2sZGEh116br30tO3dmcTGbN2fLlmzdmtEou3Zl797s2DGbZfLwI+O7/v6h8e9f9Y8XfvtfzhgPptOF0XSSy3/vgVv/6XfO+N0zJpOMZqt59NEcX8riQobD+dX5o1EGg2zalK1bN/rT8rIj+I2wvDwf6v97024+3j57+z2ZJKNMn/nPXHf98NChzGaz8XiwOswFf5A7b89552UyzXCY/8NI/ewv3HDtbiXBv6zNMu/5wIHs25djx7Iwmq5MBjt3Dg4dyrveldlkNpvNhqPnq/7Zk3Z35JBE8KeEtd37I0eyd29+9rP5WfrxOJ/+dPbunV+x5yJcfhOCPwXMZplMMh7nwQdz9dW5//553pNJPvjBHDiQM890gx2/EcGfMtbOqT/xRD72sdxxR5IsLGRlJW9+cw4fzhve8CJdhMtpTfCnkrWp+3SaW2/Nxz+e5eV58698ZQ4fzkUXJe6l538l+FPMid23e+/Nnj35xS/mS/rRKPv355prsrBgSc+vJfhT0lr2P/1p9uzJd7978l76K67IzTdnx475/B/+B5O/U9JgkNXVnHtu7rorV16ZlZUkGY9z5525+OI8+GDGY4+44HkY4U9ha1P3lZUcPJgbbsh0Ol/Sn312Dh7M7t2JE/D8KsGf2k5s0R05kg99KI89Nl/Sb9mSffty/fXzp1xY0rNG8Ke8E2fjfvKTXHllvv/9+Tif5MMfzmc+k+3bjfPMWcOf8k48rOq883LkSD7wgZNPuTh0KJdckgcemD+4EgR/mlg7P3/mmTl8ODffPP8XsHlzvvnN3H67EZ45U/rTynQ6H/DvvjvXXJNf/jLnn58vfjGvf73mSQR/+ln76rrRKD/6UT75yVx1Vd75Tvt2zAn+NLR22/twOB/Vje2cIPjTls55Lpt2py2181yChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyL/BYwVfwzI9aGQAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9307300942553013, 0.5539596710107311, 20.483880749576485])", "action": "('move', [0.9307300942553013, 0.5539596710107311, 20.483880749576485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "33fc25bcf4cda864f26f1b392b19b270662d9d2b804a31377495ce14e640494c"} +{"episode": 5962, "episode_seed": 3469990638, "split": "train", "timestamp": "2025-09-15T22:45:41.027990", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3469990638, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.744097124341183, -2.3277895736638095, 8.294113907702808])", "action": "('move', [-0.744097124341183, -2.3277895736638095, 8.294113907702808])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.744097124341183, -2.3277895736638095, 8.294113907702808])", "action": "('move', [-0.744097124341183, -2.3277895736638095, 8.294113907702808])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.744097124341183, -2.3277895736638095, 8.294113907702808])", "action": "('move', [-0.744097124341183, -2.3277895736638095, 8.294113907702808])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG1UlEQVR4nO3b34uc1R3H8e95ZnfSIgSCm9zoVUMbW2xRQfBHwLQ1FCnZkmKVFP+t4l8gQm40F4tZiSDEIjTF/oBQpaW1tBYkJSuIF+7OPKcXM02MULCImVk/rxd7NXNmOHvxnvPMOc+03nsBGYZVTwC4ewQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQb5uwY9j9b7qScC6av3w93HrP2htpfOAtXdYV/jeaxxrHKuqWlv+ffxxXb5cH364HAB8ziELvveaz2s2q9ZqGGoYapzX3s3a2akXfjmePNmffbauXKmqms1WPVdYPxurnsAXNY41n9cw1GRSVdV7/e2v/fr1unSpLr3a/32zVQ0bGzWOtbtbzz9frVXvLvLhDuse/K1L983NGoaqqnffrXfeqatX67Wd/vd/tKrWWptOa39/sar3GzfaRx/V1laNo+DhDusbfO/V+3JJn0zq/ffr9cvj1V+3a9fae+8thgzTac1mNY61v9+P31tnf9JOn64nnqijR6tq+QEB3LJGu/SLwhfbb7fcuFGvvDK+tlPX/zT85c+9V6uqYVgOrqpvfmM8t93OnauHH6pvf6dNpyuaPRwGqw9+cdFetfxyXlXzee3t1e5uvfzS/De/nezt1WzWq25/DLRW99xTZ87UhQt15ql+71Y7cmT51MHB7e/5wOesOPiDg9rYWC7pn35aH3xQ167VxYu1u1uffPLfQa2qV1WfTOq+++rB7/af/2LY3q7jx2+/z2fP54D/ZQ1W+Ko//q7//g915Y22s1N7e1W1XKUPDpZDTp1qD35v/NGP2/bP2v333/nyXuWWG/hiVhl87/Xir8a33h6uvjn+81+L/fba3Kz9/eXzJ79VZ35Yjz/Wnzw9PPDA8lWz2fIEHvh/rTL4g4OaTsfFzT8bGzWfL5frra06f77Onu0/+H479ZnOq6QOX8oqj+V6r+l0WKzns1kdOzr/6fbw3HPtkUfqxIna3GyLMYslfWN9DxDh0FhxRkeO1IkT42OP9gsvTJ5+erI4P1+Yz5ebcJubq5sffL2s8pJ+NquLF/szz7Rjx24/6Kdv8NVZ/S591fImeYXDV23FwUsd7qa1WOGBu8MZFwQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5D5buH8JRWU7LAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG1UlEQVR4nO3b34uc1R3H8e95ZnfSIgSCm9zoVUMbW2xRQfBHwLQ1FCnZkmKVFP+t4l8gQm40F4tZiSDEIjTF/oBQpaW1tBYkJSuIF+7OPKcXM02MULCImVk/rxd7NXNmOHvxnvPMOc+03nsBGYZVTwC4ewQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQb5uwY9j9b7qScC6av3w93HrP2htpfOAtXdYV/jeaxxrHKuqWlv+ffxxXb5cH364HAB8ziELvveaz2s2q9ZqGGoYapzX3s3a2akXfjmePNmffbauXKmqms1WPVdYPxurnsAXNY41n9cw1GRSVdV7/e2v/fr1unSpLr3a/32zVQ0bGzWOtbtbzz9frVXvLvLhDuse/K1L983NGoaqqnffrXfeqatX67Wd/vd/tKrWWptOa39/sar3GzfaRx/V1laNo+DhDusbfO/V+3JJn0zq/ffr9cvj1V+3a9fae+8thgzTac1mNY61v9+P31tnf9JOn64nnqijR6tq+QEB3LJGu/SLwhfbb7fcuFGvvDK+tlPX/zT85c+9V6uqYVgOrqpvfmM8t93OnauHH6pvf6dNpyuaPRwGqw9+cdFetfxyXlXzee3t1e5uvfzS/De/nezt1WzWq25/DLRW99xTZ87UhQt15ql+71Y7cmT51MHB7e/5wOesOPiDg9rYWC7pn35aH3xQ167VxYu1u1uffPLfQa2qV1WfTOq+++rB7/af/2LY3q7jx2+/z2fP54D/ZQ1W+Ko//q7//g915Y22s1N7e1W1XKUPDpZDTp1qD35v/NGP2/bP2v333/nyXuWWG/hiVhl87/Xir8a33h6uvjn+81+L/fba3Kz9/eXzJ79VZ35Yjz/Wnzw9PPDA8lWz2fIEHvh/rTL4g4OaTsfFzT8bGzWfL5frra06f77Onu0/+H479ZnOq6QOX8oqj+V6r+l0WKzns1kdOzr/6fbw3HPtkUfqxIna3GyLMYslfWN9DxDh0FhxRkeO1IkT42OP9gsvTJ5+erI4P1+Yz5ebcJubq5sffL2s8pJ+NquLF/szz7Rjx24/6Kdv8NVZ/S591fImeYXDV23FwUsd7qa1WOGBu8MZFwQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5D5buH8JRWU7LAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "435c5df88d46d53f35fd3cc8470c7a027c60b45be30f9e778468b209112fbea8"} +{"episode": 5963, "episode_seed": 305007945, "split": "train", "timestamp": "2025-09-15T22:45:42.011815", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 305007945, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.23072200028642476, 1.8409316568609115, 27.58808078738548])", "action": "('move', [0.23072200028642476, 1.8409316568609115, 27.58808078738548])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKnUlEQVR4nO3d349cZR3H8c+ZmRaqRRqjNHYJIcC2tDRq1aBBAkq0GhtrlUtivOXOxBv/EK+4Mt5LQFFiNb2oiIQWIo0gUI1twTaNixS1LbjdmePFnLT2B6Hdznamfl+v7MXuzHTypJn3nnOec56zTdu2AWroTXsAwLUjeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUMpj2ALgMbdt90zRTHQfXPcHPpLbtvpL0ejpnUgQ/A8Zhn626bdM050U+HObf/85olI9+tHsWlkXwUzIaddvw0Sj9fvr9c081TU6fzt//noWFLCzk0KEcPJgDB7JuXZ58sns9LIvgr63RKKNRer30zp8uXVrqMm6aPPZYdu/OG2/kr3/NiRPnXnPjjVlYyMc/3r0DXDnBT9rZCbZcao7tbOpvvJHXXsvBgzl4MIcO5Utfyg9+kOEwg0Gefjo//3n3+g9/OHffnfn5zM9n69bccMOl3xYuj+An5+Jj7wueOnkyjz2WvXtz+HDefjvvvJNTp7oXvPVWvv/97nfBI4/k1lvzmc9k06asX5+bbspHPpIPfejcuwme5Wra/90i8YHOHnu3bXq9SxxOv/tuTp/OqVP585/z2mt55pl897vZsSNJ3nkn27dn//7ulWvWZO3arF+frVtz//159NHu3d5vWm44NGPPVbKFvxJLSxm8z//YyZN54om88kpefz2vvprXXz/31Lp1+cY3kmTt2uzcmbVr87nPZdOmbN6cLVuybt2Fb/W/0/Vn428ac3VcPVv4K/Svf+Xo0bz5Zo4cycJCdu3Kli1p2ywsZP368165YUNuuy0bNuSb38z3vpemufRk22iU5H2PBWCibOEv23/+k0cfzeHDOXYsx47l5MkkWbMmW7ZkNMott2THjjRNNm7MHXdkbi5zc/nEJzI315U8PgQYjTIcdnmPv8y3cw0J/rK1bX7xi7z1VvfjzTdn8+ZzW/W2zY9/nNWrc/PNF/6r4TD9fpf9xSfk4BqyS3/ZhsP86Ec5diyf/WzuuScbNuTGG3PDDZc4tF5aSnLeZhxmg+AnxxIXZp5d+itxwS/HC8LWOTNP8FdC0lznTCBBIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UI/qqMRhmNpj0IuGyDaQ/gOta26fmFyXXFB3b5mib79uXXv85wmCRtO+0BwQcR/BUb78P/5Cf59Kfz5S/nhz/Mm28mgud6IPhl+sc/cuBATp/OSy/l5ZeTOJjnOiD4K9Y0SfKd72T16vT7SfLccxmNuu9hlgn+io2Dv/32bNvWHb3/6lc5cSJNY6+eWSf4ZWrbPPxwkqxalQMHcujQtAcEl0Hwy9G2aZp87Wvdj8Nh9uzpHoRZJvjlu+223HtvzpxJ0+Txx7O0NO0BwQcR/DK1bdaty44dSdLvZ//+HDky7THBBxH8cjRNdxLuvvsyGHRzdU89lbY1b8dME/wyjQ/XN23KPfd0c/VPPmminlkn+GXq9TIcZm4uDzzQPfLKKzlyJL2e5pldgl++0Si9Xj7/+e6Sm3/+M7/8Zdq22+DDDBL88o07/+IXs3FjkiwtZfduZ+aYaYJfvl4vS0u5/fZs3do98uqrOXo0g4Hr6plRgr8q42n5Bx7IqlVJcuRI9uxJYq+eGSX4q9Lvp2ny9a/nYx9LksXFPPtsElN3zCjBX5XxXP1dd3WH8UleeCF/+1v6fcEziwQ/GTt2pNdL0+Tll/PSS4nl8cwkwV+t8Vz9rl0ZDNLrZXEx+/a53R0zyqdyMubnz11yt2dP3n47vZ6NPDNH8JNxdnn8YJD9+3P48JTHA5ck+AkYr4Qfr5xrmpw5k9/+1l49s8hHcmLuuCOf/GTOnEmSJ57I4uK0BwQXEfwEjC+nXbs2O3emaTIY5Pe/z7FjiXtXM2MEPxnjhTQPPtgVPhxm9+5pjwkuIvhJ2rgxmzd397r66U+nPRq4iOAnY3zri1tvzUMPdY+8+GKOH3dLDGaL4CejabK0lF4vX/hC+v30ejl5Mk8/nbZ1Np4ZIviJGZ+Eu/fe3HlnRqMsLeWpp2zhmS2Cn5izC2k+9anukT/+MQsL6fdt5JkVgp+Y8a1se73cd193gf3Ro/nNb9I0lsczKwQ/SePOv/KV3HJLkrz3Xvbune6I4DyCn6TxXv3Wrbnrru6RP/whx49n1Sp79cwEwU/YeIpu+/Zuefyf/pQXX3QrW2aF4CdsvFf/7W9n9eokOXUq+/alaSykYSb4GE7Y+Dzcli2Zn++29s88kxMnzNUzEwS/IpomO3cmSb+fZ5/NX/6SWEjDDBD8Stm1K0maJouLef55y+OZCT6DK2Xz5szPdwtpfvazvPeeq+6YPsFP3nh5/Jo1+da30jTp9/O73+X48WkPCwS/QsaX3G3fnrZNv3/uChx/eY7pEvwK2rQpd97Z3fTq8cenPRoQ/AoZb8nn5vLVr6Zpsnp19u7NwsK0h0V5gl8R4+Xx/X7uvz+jURYXc+pU92fnnI1nigbTHsD/rfFJuG3bsn17bropDz2UbdsSh/FMVdM6U7SSzpzJiRPd4jmYOsFfC8NhRqMMBjbvTJngV9xolKaROjNB8FCIWXooRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeCvkvPxFKX0AotEIAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKQElEQVR4nO3dz4/cdR3H8dfsbLddXKEx0cbWeCBBpMJFTbx48MRBAinIUrTtFpuYcDPwr3AqrVBMd/nRSAkBE4/GE/HkwQA14ZexB7dRot3+2p35evh+s0tLkd12f8zm/XhkD21mOpk089zP9/Oe78y31zRNgBrGtvoJAJtH8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoZHyrnwCr0DTdH3q9LX0ebHuCH0lN0/0kGRvTOetF8COgDXu56qZJr3dd5INB/vvfDIf52te6W+GWCH6LDIfdGj4cpt9Pv79yU6+XS5fyz39mfj7z8/nww5w7l7/8Jbt35403uvvDLRH85hoOMxxmbCxj149Ll5a6jHu9HD+eP/whn3ySDz7Iv/+9cp9duzI/n69/vXsEWDvBr7flAVtuNmNbTv2TT/Leezl3LufO5cMP85Of5NlnMxhkfDy//33efLO7/1e+ku9+N/fck3vuyf33Z+fOmz8srI7g18/n99433HTxYo4fzx//mI8+yr/+lU8/zcJCd4cLF/LrX3e/Cw4dyre+le9/P/femz178tWv5s47c8cdK48meG5Vr/nsisSXWt57N03Gxm6ynb58OZcuZWEhf/tb3nsvf/pTjhzJQw8lyaef5sEH8+c/d/ecnMzUVPbsyf3358c/ztNPd4/2RWO5wcDEnttkhV+LpaWMf8H/2MWLOXs2f/1r3n8/776b999fuWn37vz0p0kyNZVHHsnUVH74w9x7b+67L/v3Z/fuGx/qs+P65fh7PbM6bp8Vfo3+85/84x/5+9/z8ceZn8+BA9m/P02T+fns2XPdPffuzbe/nb178/DDOXo0vd7Nh23DYZIv3AvAurLCr9rVq3n66Xz0Uc6fz/nzuXgxSSYns39/hsN84xt56KH0evnOd3L33dm3L/v25ZvfzL59XcntFmA4zGDQ5d3+mLeziQS/ak2Tt97KhQvdX++6K/fdt7KqN01efDETE7nrrhv/1WCQfr/L/vNvyMEmcki/aoNBnnsu58/nBz/I976XvXuza1d27rzJ1nppKcl1yziMBsGvHx9xYeQ5pF+LG3453hC2zhl5gl8LSbPNGSBBIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgl+DwWCrnwHcHsGvVnuZZs2zrQl+VdrLur37rubZ3gT/5Zom/X5OncqBA3nlla553+7NduRba79Eez24EyfyzDNZWMivfpVeLwcPZjj0HbZsP1b4L9Gu5O+8k4WFTEzk4sXMzOTVV7vrxMH24sozqzIY5Nix/Pa32bEji4vZsSOnT+eJJ/7f9aNhBHm1rkq/nxdeyHCY06czPp7FxRw5kl4v09OaZzvxUl2VpkmvlxMnkuT06fT7WVrKU08lyfR0d3lYGH2CX5V2PjcxkePHk3Tr/OXLOXYsSaanuxmeMR4jztButdqY77gjJ0/m8OEsLaXfN8NjmzG0W5v22L5pMjOT06dXZnizs/bzbANenmvT1t7r5dSpNE1mZ7vm2xne449rnpHmtblmbfNjY/nNb5Jkdjb9fq5dy9GjSfL442Z4jC7B34q2+R078vzzaZrMzaXfz5Ur+eUv0+vlZz8zw2NEGdrdojbmycmcPJlf/KL7dE07wztzxgyPEWVod1vaM+2Hw8zMrOznJyYyO+vYnlHkkP62jI11+/mXXuqO7XfsyLVrOXQoiRkeI8eL8XYtz/BefDFJ5ua6c29nZrr9vHWe0SH4ddA2Pz7enXvbzvCuXu3OvTXDY3QY2q2P5RneiRP5+c+7Gd7CQo4e7WZ4RiWMAkO79dQevS8tZWYmL7+8MsObm3Nsz0gQ/Dprz8MbDHLkyE2aN8Nja3n1rbN2P99+B16Sl1/O+HiuXevOvX3sMes8W0nw62/5PLyTJ9M03fdeXrmSo0fT6+XRR7sdvhkem8/QbkO0zbfn4T35ZLeqtzO83/0u/b4ZHlvDHn4DtZ23n6t55ZVuP79zZ+bmHNuzNQS/sdpzbweDHD58k+bN8NhkDuk3VvsOfL+fl17KwYNZXMz4eK5ezeHDOXs24+OuY8OmEvyGW57hvfBCDh7svhvrypXMzOTsWdeuYlMJfjN8dob3xBPXnYf3+uuaZ/PYw2+edkp35Uqeeiqvvtrt5ycnMzvbvVdnhsdGE/ymamd4S0s5dCivvZaJiVy7ll27MjeXRx81w2PDCX6ztefeLi7m8OG89trKOj83lwMHrPNsLHv4zbb8WdpTpzI93c3tL1/OkSN58830+74biw1khd8aTZOmyaVLOXYsZ85kfDxLS5mczNmzefDBDAaO7dkQXlZbo9fLcJipqe4zNmfOJMmPfpQHHkiSMQdebAwr/FZanuFNT+fChbz9du68s9vkw0YQ/BZr8756NYuLmZpSOxtL8FCIzeKo8IuXTSD4UeFInk0geChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkP8BJjWn7TUvAjcAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.23072200028642476, 1.8409316568609115, 27.58808078738548])", "action": "('move', [0.23072200028642476, 1.8409316568609115, 27.58808078738548])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKQElEQVR4nO3dz4/cdR3H8dfsbLddXKEx0cbWeCBBpMJFTbx48MRBAinIUrTtFpuYcDPwr3AqrVBMd/nRSAkBE4/GE/HkwQA14ZexB7dRot3+2p35evh+s0tLkd12f8zm/XhkD21mOpk089zP9/Oe78y31zRNgBrGtvoJAJtH8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoZHyrnwCr0DTdH3q9LX0ebHuCH0lN0/0kGRvTOetF8COgDXu56qZJr3dd5INB/vvfDIf52te6W+GWCH6LDIfdGj4cpt9Pv79yU6+XS5fyz39mfj7z8/nww5w7l7/8Jbt35403uvvDLRH85hoOMxxmbCxj149Ll5a6jHu9HD+eP/whn3ySDz7Iv/+9cp9duzI/n69/vXsEWDvBr7flAVtuNmNbTv2TT/Leezl3LufO5cMP85Of5NlnMxhkfDy//33efLO7/1e+ku9+N/fck3vuyf33Z+fOmz8srI7g18/n99433HTxYo4fzx//mI8+yr/+lU8/zcJCd4cLF/LrX3e/Cw4dyre+le9/P/femz178tWv5s47c8cdK48meG5Vr/nsisSXWt57N03Gxm6ynb58OZcuZWEhf/tb3nsvf/pTjhzJQw8lyaef5sEH8+c/d/ecnMzUVPbsyf3358c/ztNPd4/2RWO5wcDEnttkhV+LpaWMf8H/2MWLOXs2f/1r3n8/776b999fuWn37vz0p0kyNZVHHsnUVH74w9x7b+67L/v3Z/fuGx/qs+P65fh7PbM6bp8Vfo3+85/84x/5+9/z8ceZn8+BA9m/P02T+fns2XPdPffuzbe/nb178/DDOXo0vd7Nh23DYZIv3AvAurLCr9rVq3n66Xz0Uc6fz/nzuXgxSSYns39/hsN84xt56KH0evnOd3L33dm3L/v25ZvfzL59XcntFmA4zGDQ5d3+mLeziQS/ak2Tt97KhQvdX++6K/fdt7KqN01efDETE7nrrhv/1WCQfr/L/vNvyMEmcki/aoNBnnsu58/nBz/I976XvXuza1d27rzJ1nppKcl1yziMBsGvHx9xYeQ5pF+LG3453hC2zhl5gl8LSbPNGSBBIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgl+DwWCrnwHcHsGvVnuZZs2zrQl+VdrLur37rubZ3gT/5Zom/X5OncqBA3nlla553+7NduRba79Eez24EyfyzDNZWMivfpVeLwcPZjj0HbZsP1b4L9Gu5O+8k4WFTEzk4sXMzOTVV7vrxMH24sozqzIY5Nix/Pa32bEji4vZsSOnT+eJJ/7f9aNhBHm1rkq/nxdeyHCY06czPp7FxRw5kl4v09OaZzvxUl2VpkmvlxMnkuT06fT7WVrKU08lyfR0d3lYGH2CX5V2PjcxkePHk3Tr/OXLOXYsSaanuxmeMR4jztButdqY77gjJ0/m8OEsLaXfN8NjmzG0W5v22L5pMjOT06dXZnizs/bzbANenmvT1t7r5dSpNE1mZ7vm2xne449rnpHmtblmbfNjY/nNb5Jkdjb9fq5dy9GjSfL442Z4jC7B34q2+R078vzzaZrMzaXfz5Ur+eUv0+vlZz8zw2NEGdrdojbmycmcPJlf/KL7dE07wztzxgyPEWVod1vaM+2Hw8zMrOznJyYyO+vYnlHkkP62jI11+/mXXuqO7XfsyLVrOXQoiRkeI8eL8XYtz/BefDFJ5ua6c29nZrr9vHWe0SH4ddA2Pz7enXvbzvCuXu3OvTXDY3QY2q2P5RneiRP5+c+7Gd7CQo4e7WZ4RiWMAkO79dQevS8tZWYmL7+8MsObm3Nsz0gQ/Dprz8MbDHLkyE2aN8Nja3n1rbN2P99+B16Sl1/O+HiuXevOvX3sMes8W0nw62/5PLyTJ9M03fdeXrmSo0fT6+XRR7sdvhkem8/QbkO0zbfn4T35ZLeqtzO83/0u/b4ZHlvDHn4DtZ23n6t55ZVuP79zZ+bmHNuzNQS/sdpzbweDHD58k+bN8NhkDuk3VvsOfL+fl17KwYNZXMz4eK5ezeHDOXs24+OuY8OmEvyGW57hvfBCDh7svhvrypXMzOTsWdeuYlMJfjN8dob3xBPXnYf3+uuaZ/PYw2+edkp35Uqeeiqvvtrt5ycnMzvbvVdnhsdGE/ymamd4S0s5dCivvZaJiVy7ll27MjeXRx81w2PDCX6ztefeLi7m8OG89trKOj83lwMHrPNsLHv4zbb8WdpTpzI93c3tL1/OkSN58830+74biw1khd8aTZOmyaVLOXYsZ85kfDxLS5mczNmzefDBDAaO7dkQXlZbo9fLcJipqe4zNmfOJMmPfpQHHkiSMQdebAwr/FZanuFNT+fChbz9du68s9vkw0YQ/BZr8756NYuLmZpSOxtL8FCIzeKo8IuXTSD4UeFInk0geChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkP8BJjWn7TUvAjcAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ/ElEQVR4nO3dz49dZeHH8c/MtBakSDXBhlYLVjuFoQuwpooxxljSBSgt3RrjlrgxMfEPMa668g8gWAIEtYSgQbDyK+LPUglQ1InYplbagtiZud/FvZmZDu2Xlg7t4Of1yixmzj1zcjPJ+z7zPPecc8cGg0GADuNX+gkAl4/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgociqK/0EuACDweibsbEr+jz40BP8ijQYjL6SjI/rnOUi+BVgGPZ81YNBxsbOinx2NidPZm4un/jE6FF4XwR/hczNjcbwublMTGRiYuGhsbG89Vb++c8cPZqjR/Pqqzl8OC++mHXr8uCDo/3hfRH85TU3l7m5jI9n/Ozl0pmZUcZjY9m3Lz//eV5/Pa+8kn/9a2Gfq67K0aO5/vrREeDiCX65zS+w5VxrbPOpv/56Dh3K4cM5fDivvpqvfS3f/35mZ7NqVR59NA89NNr/mmty883ZsiVbtmTbtqxZc+7DwoUR/PJ599x7yUOnTmXfvvzyl3nttRw/nhMncvr0aIdjx/K9741eC771rXzqU/n857N1a9avz7XX5mMfy0c/unA0wfN+jQ0Wj0i8p/m592CQ8fFzTKfffjtvvZXTp/OXv+TQoTz5ZL797dx9d5KcOJFdu/Lss6M9r746a9dm/fps25avfCX33Tc62vmW5WZnrdhziYzwF2NmJqvO8xc7dSr79+ePf8xLL+XPf85LLy08tG5d7rorSdauzT33ZO3afOEL2bo1t9ySqamsW7f0UIuX6+fjHxuzVselM8JfpDffzN//nr/+NUeO5OjR7NmTqakMBjl6NOvXn7Xnhg3ZtCkbNuSb38x3vpOxsXMvts3NJTnvXACWlRH+gr3zTu67L6+9lunpTE/n1KkkufrqTE1lbi6f/GTuvjtjY5mczObN2bgxGzfmhhuyceOo5OEUYG4us7OjvIdf1tu5jAR/wQaDPPJIjh0b/XjddbnlloVRfTDIj3+cj3wk11239LdmZzMxMcr+3W/IwWXkX/oLNjubH/0o09PZvj233poNG3LVVVmz5hxT65mZJGcN47AyCH75uMSFFc+/9BdjyYvjkrB1zoon+IshaT7kLCBBEcFDEcFDEcFDEcG/t+FdKrx9yf8AwZ/XsPAzZ0bnvy65pEX/fBgJ/rxmZ5Nk//5s3pwf/CBPPZUzZ5JFZ9DNzhr5+ZBxpt25DS9LnZvLd7+bfftG579/+tPZsyf33JOpqVx//cI5tWfOjM6R9z49K5zgz214Jesrr2T79pw4Mep5eI58kk2b8o1vZOfOTE3l5ptHG4cD/sSEq2NYuQR/bsO/yrFj+eEP8+yzefrp0eWw4+NZtSr//e9ot82b89WvZseO3HFHbrtttHE4FzDgswIJ/r29+WZ+97u88EIeeywHDoxqH97eajirT3Ljjdm2LV/+cu66a6H8oSV3nYcrSPD/n8EgMzNZvXr048mTmZ7OwYP5yU/y2GN5++3R9rGxhaW79etz443ZtSt79+b228862uI7X8AVIfj3NlyKX3xzmtnZHD+eAwdy//05eDAnTuSdd5b+1po12bw5996b3buzZUs+/vHR9uGLiEU+rgjBX4T5m0ouDvXf/86jj+aRR/L73+fllxeG/YmJ0WQ+yeRk9uzJzp2ZnMxNN402WuTj8hP8+zd/r+qh48fz+ON56qk8/3yeeWZhqr94kW9qKl//enbsyI4d2bp1tHFmZum5PfABEfylGp54Oze3MNU/diwvvJDnnsvjj+eJJ0bT+1WrMja2sMi3dWtuvz133JFduxbe2HPLHD5ogl82w9tVDgYL5R8/niNH8vTT2b8/TzwxuiF1zl7k27Qpn/tcdu3KvfdmcvKsA7qBNctO8Mvv3R8Y+Z//5I038rOf5f7789xzOX164Ryeeddem8nJ7N2b3btz00255prR9iW3vYVLIfgP0JJJ/tAbb+Thh/Pww/nTn3LkyMI/+YuH/dtuy9692bkzn/lMbrjhsj5n/rcJ/jJ59/x8ejoHDuTJJ/Pii/ntb0dL+sNF+/lXge3bc+ed+eIX86UvKZ9lIPjLbf7q+vlPqZuezm9+k2eeyS9+kYMHRxtXrx69Yz/04IPZvfu8HzMJF0jwV8xwqr94ke8f/8jLL+dXv8pDD+XXvx5tnJjI6tX5wx/y2c8Knksl+Cvv3Yt8J0/mb3/LT3+aBx7I88/nzjvzwANZs0bwXCrBryDDAX/JR1cdOpSZmdx6q9RZBoJfiVxgxwfEJ8+sRItTFz/LSPArndRZRi7UgiKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyL/B6f4cYFVS7maAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.23072200028642476, 1.8409316568609115, 27.58808078738548])", "action": "('move', [0.23072200028642476, 1.8409316568609115, 27.58808078738548])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ/ElEQVR4nO3dz49dZeHH8c/MtBakSDXBhlYLVjuFoQuwpooxxljSBSgt3RrjlrgxMfEPMa668g8gWAIEtYSgQbDyK+LPUglQ1InYplbagtiZud/FvZmZDu2Xlg7t4Of1yixmzj1zcjPJ+z7zPPecc8cGg0GADuNX+gkAl4/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgociqK/0EuACDweibsbEr+jz40BP8ijQYjL6SjI/rnOUi+BVgGPZ81YNBxsbOinx2NidPZm4un/jE6FF4XwR/hczNjcbwublMTGRiYuGhsbG89Vb++c8cPZqjR/Pqqzl8OC++mHXr8uCDo/3hfRH85TU3l7m5jI9n/Ozl0pmZUcZjY9m3Lz//eV5/Pa+8kn/9a2Gfq67K0aO5/vrREeDiCX65zS+w5VxrbPOpv/56Dh3K4cM5fDivvpqvfS3f/35mZ7NqVR59NA89NNr/mmty883ZsiVbtmTbtqxZc+7DwoUR/PJ599x7yUOnTmXfvvzyl3nttRw/nhMncvr0aIdjx/K9741eC771rXzqU/n857N1a9avz7XX5mMfy0c/unA0wfN+jQ0Wj0i8p/m592CQ8fFzTKfffjtvvZXTp/OXv+TQoTz5ZL797dx9d5KcOJFdu/Lss6M9r746a9dm/fps25avfCX33Tc62vmW5WZnrdhziYzwF2NmJqvO8xc7dSr79+ePf8xLL+XPf85LLy08tG5d7rorSdauzT33ZO3afOEL2bo1t9ySqamsW7f0UIuX6+fjHxuzVselM8JfpDffzN//nr/+NUeO5OjR7NmTqakMBjl6NOvXn7Xnhg3ZtCkbNuSb38x3vpOxsXMvts3NJTnvXACWlRH+gr3zTu67L6+9lunpTE/n1KkkufrqTE1lbi6f/GTuvjtjY5mczObN2bgxGzfmhhuyceOo5OEUYG4us7OjvIdf1tu5jAR/wQaDPPJIjh0b/XjddbnlloVRfTDIj3+cj3wk11239LdmZzMxMcr+3W/IwWXkX/oLNjubH/0o09PZvj233poNG3LVVVmz5hxT65mZJGcN47AyCH75uMSFFc+/9BdjyYvjkrB1zoon+IshaT7kLCBBEcFDEcFDEcFDEcG/t+FdKrx9yf8AwZ/XsPAzZ0bnvy65pEX/fBgJ/rxmZ5Nk//5s3pwf/CBPPZUzZ5JFZ9DNzhr5+ZBxpt25DS9LnZvLd7+bfftG579/+tPZsyf33JOpqVx//cI5tWfOjM6R9z49K5zgz214Jesrr2T79pw4Mep5eI58kk2b8o1vZOfOTE3l5ptHG4cD/sSEq2NYuQR/bsO/yrFj+eEP8+yzefrp0eWw4+NZtSr//e9ot82b89WvZseO3HFHbrtttHE4FzDgswIJ/r29+WZ+97u88EIeeywHDoxqH97eajirT3Ljjdm2LV/+cu66a6H8oSV3nYcrSPD/n8EgMzNZvXr048mTmZ7OwYP5yU/y2GN5++3R9rGxhaW79etz443ZtSt79+b228862uI7X8AVIfj3NlyKX3xzmtnZHD+eAwdy//05eDAnTuSdd5b+1po12bw5996b3buzZUs+/vHR9uGLiEU+rgjBX4T5m0ouDvXf/86jj+aRR/L73+fllxeG/YmJ0WQ+yeRk9uzJzp2ZnMxNN402WuTj8hP8+zd/r+qh48fz+ON56qk8/3yeeWZhqr94kW9qKl//enbsyI4d2bp1tHFmZum5PfABEfylGp54Oze3MNU/diwvvJDnnsvjj+eJJ0bT+1WrMja2sMi3dWtuvz133JFduxbe2HPLHD5ogl82w9tVDgYL5R8/niNH8vTT2b8/TzwxuiF1zl7k27Qpn/tcdu3KvfdmcvKsA7qBNctO8Mvv3R8Y+Z//5I038rOf5f7789xzOX164Ryeeddem8nJ7N2b3btz00255prR9iW3vYVLIfgP0JJJ/tAbb+Thh/Pww/nTn3LkyMI/+YuH/dtuy9692bkzn/lMbrjhsj5n/rcJ/jJ59/x8ejoHDuTJJ/Pii/ntb0dL+sNF+/lXge3bc+ed+eIX86UvKZ9lIPjLbf7q+vlPqZuezm9+k2eeyS9+kYMHRxtXrx69Yz/04IPZvfu8HzMJF0jwV8xwqr94ke8f/8jLL+dXv8pDD+XXvx5tnJjI6tX5wx/y2c8Knksl+Cvv3Yt8J0/mb3/LT3+aBx7I88/nzjvzwANZs0bwXCrBryDDAX/JR1cdOpSZmdx6q9RZBoJfiVxgxwfEJ8+sRItTFz/LSPArndRZRi7UgiKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyL/B6f4cYFVS7maAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "fe586d273c645c76feeabac8e0d656727952fdffb2eb7ba1e2d66aad82876105"} +{"episode": 5964, "episode_seed": 1730862516, "split": "train", "timestamp": "2025-09-15T22:45:42.660540", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1730862516, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.07526154974908, -10.640357645337529, 31.91081165787701])", "action": "('move', [-3.07526154974908, -10.640357645337529, 31.91081165787701])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.07526154974908, -10.640357645337529, 31.91081165787701])", "action": "('move', [-3.07526154974908, -10.640357645337529, 31.91081165787701])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.07526154974908, -10.640357645337529, 31.91081165787701])", "action": "('move', [-3.07526154974908, -10.640357645337529, 31.91081165787701])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHsklEQVR4nO3b0WtW9x3H8e85SbRi0QnqJmxqqQ4aqNF4UatVW1H/if4R/a9606uNXpRZdUVUUmdt0Uy36epwo7IWnZOWasw5uzjRJE7GVkajz+f1IuTiycnDSeB9fr/zO7+n6fu+gAztSp8A8OMRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZX+kTGE19X31fVdW6ovI8Efz/Td9X11XfV9tW21bTVNXCK2NjK31yUFVVTT+MRPxQXbfwNTGxEHlV3btXt7/qb96sX/262bmz3nuv2rb6fvEAWBGC/4GGyKtq/PEkqe/r6tX6w9Xu8mw7M1Pnz87fvddWNdPT9eGHtWWL4Fl5pvT/g+Ha+GTSPtyf375dn870v7vQXfn92OyV/o9/qqq+qqkaW726uq4++6xu3KgtW6rrzO1ZYYL/T4a1t6ZZGJmffO+6On++Tp+u8+fryy/rb39t/nl/WJ1rmqYZDqiqBw/6NS/1Bw60a9cu/jqsIFP6pz1ZextffjH8/vu6datOnaoTH81fuNjc/Ud7//4zfn1srFatqldfmT96rD12vNmzp9atqzVrLNfzXBB81eORvJuvvmpiYvH1O3fqm2/q8uU6dapO/Wb+2vUlM/Kmasl/buPG2rypn57qjhwfO3Kktm378U4e/nvRwQ+DeddV2y7eXX/3XV2/Xtev18WLdfZsnTvXz81VVVNV4+PV9zU/PxzYrV/f7NjR7NxZe/fWW2/Vvn3PeP+ByTzPicTgh/H8qcfjN27UxQvdpc/rymz7xRf9rVs1RN62NT5ec3NDvX1VPznZTE83U693u6aa3XuazZsX37brFm74Fc7zKSL44U/89wi//bbOnKlPTs9f+ry5+Zf25p/7B3P9sN14uBY8Hsz7Deu7w2+3Bw81u6e67dvb7a8s3pPPzVXVss028Nwa5eCfucvt4cO6erU+/rhOnqzZ2bp7t+7fH56iPW3Vqtq7t44erXfeqZ07+w0bmmGxfTA3V02z+HAOXgijHPyg7+vunfr6637m0+bEif63J7uv/j72eOheduDEePOTDfWzTd2b++vo8fbw4dq4cVnPJu286Eb5OfzsbF2+XDMzdeaT7uKlqmqG/TDLn7f1mzc127bXL1/tDhxsD7/dTE4+PWQvXXuzc4YX2miO8MNumXffrfffX3hlfKLaph4+XPj52Fize3ft2lW7Xu+np2t6b/PyywtHDntmjOGMpFEe4d94oz74oPq+Hj2qR3NV1W//Rb//UPvmvmZysnbsqK1b68ndu3tyEozyCH/tWr32Wq1d0+3fX0eOtYcO9lt/Xht/2ry0euGwrqv5R9W21Y4Zz4kwmsEPHjyoc+dqaqrWrVu2T3Z+fuEDMObtpBnl4J8yLLCXfW8EG/HgfQQdlhrxFSq1w1IjHjywlOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8A2a+GhWa5NJAAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2fce2d8092ba95df2df134bd1ec36384e2f64e194a10ec06a7155a8e49119b90"} +{"episode": 5965, "episode_seed": 964859282, "split": "train", "timestamp": "2025-09-15T22:45:43.305666", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 964859282, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.856545764306277, 3.8335602397449016, 41.78769011666418])", "action": "('move', [4.856545764306277, 3.8335602397449016, 41.78769011666418])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.856545764306277, 3.8335602397449016, 41.78769011666418])", "action": "('move', [4.856545764306277, 3.8335602397449016, 41.78769011666418])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJu0lEQVR4nO3dzYudd93H8c+Zp45N6wNB3ElxYf0Xgm4qIig0C62lNAkmqTadtDVREYor0U1BSR9IE5OmCRa7qIpYiqRWNP4HgjsRooiblCYxaVon83TuxTn39L61VSHRmTmf1+svuBbXm+/v+s411xkMh8MAHaY2+gKA/x7BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBb7S1tSwvZzjc6OugwmDoVoMaJvzGWVtLkvPn881v5tKlJOY8/2kzG30BrdbWMhjk/Pncc09++9u8+Waeemqjr4nJZ8JvkMEgg0HuuCM7dmQwyNNP5/vfz2CQ1dWNvjImmWf4jTMa8leu5L778otf5Pbb89JLueuurK5menqjL47JJPgNNWr797/PZz6TP/4xd9yRV17JnXdqnv8QR/oNNT2dtbXceWeeey7btuVPf8rDD+f11zM1NV7pwU0l+I02NZXV1dx1V554Ikl+9at8+9tZXc1gYGnPTSf4TWA057/85Xz1q/nAB/Lxj2d6OsOh4LnpPMNvDsNhBoNcvpwLF/Kxj2VtLcPhOPvBYKMvjskh+M1nPfKLF7N9u+a5iRzpN5PhcPy3ujffzDe+kb17c/lyEgs8bhYTfpNZW8vUVM6dyyc/mSQLCzl2bPwwb85zw0z4TWZqKsNhduzIoUNJcuJEnnzSG3jcLCb8ZnX9enbuzKuv5tZb8+Mf57Of9TYON07wm9JoUffnP+dTn8of/pCPfCRnz+ajH7XA4wY50m9Kg0HW1vLhD+f06XzoQzl/PgcO5NIltXODBL9ZDQZZXs4nPpFvfStzc/nNb/LCC0k8zHMj/D/8v7YxO/LBIDMzWVnJgw/md7/Lrbdm9+4kHuO5EZ7h39Xoj+LrfXl8ZgI40r+r0VL85Zfzne/4ZxYmhCP9O1tby8xMzp3LwYP5y1/y17/m8cczM2POs7U50r+DUdW//nXuvz8XLmRuLktLee657N+/0VcGN8aR/u+NTu+//GXuvTcXLmR2NktLufvufPrTie/KssU50r9tOMzKSmZn8+qr2bUrFy9mfj6Li7n77pw5k+3bx++5w9bl/n3b6mpmZ3P2bPbsyeuvj2vfuTOnT2f79qyuqp0tzzP82Gh6nz2bffvGJ/nl5ezcmVOn8sEPmu1MCMG/7ZVX8sUv5rXXxi+8rM92tTMxPMOPe/75z7NrV65cGc/2z30uZ87kve9VOxOl+l4ebemmpvLyy9mzJ1euZH4+y8v5/Odz+rTamUC9t/Oo9pmZvPTS+FtSoy3dPffk1Km8731qZwKV3tHD4Xgn/7Of5UtfyqVLmZvL4mK+8IWcPJn3v1/tTKbSpd3oXbpR7RcvZno6q6u5996cOKF2Jlnj0m7U809/mn37cvXqeEt333159tncdpvamWRdt/b6lu4nP8nevbl6NbfckuXl3H+/2qlQdHevb+l+9KM88EDeeCPz87l+Pbt25cSJ3Habd+mYfEU3+GhL9+KLOXBgPNsXF7N7d44fH89235Jh4rUs7UZbuhdfzMJCLl8ev0u3e3eOHcvttzvJ06Ii+PXaH3wwV6+Od/J79uT48Wzb5psWFJnwuTb6e/tgkBdeyP7945386mr27s3Jk9m2bfxTblBikoMf1T49nR/+MA89lLfeGu/k9+3L8eOZn3eSp84k3++jnfzzz2dhIdeu5ZZbcv169u/PM8+onVIT+ww/6vn55/PII7l2LdPTWVnJ/v05ejTz84nfYqXSZM644TBTU/nBD/Lww3njjUxNZWUlDzyQo0fznvfY0tFr0oJf39KdOZMDB3Lt2nhLd+BAjh8f1+4kT62JuvdH79JNT+fUqRw8mOvXx1u6hx7K009ndtZOnnaTE/z6N2dPncqjj2ZxcbylW1jIU09lbs6WDiZlabf+O3DPPpvDh/O3v2VmJsvLWVjIk09mdjaxpYNJmvDT0zl5MocP5623xj+1fPBgnnhC7fC2Lf//8Ou/5XziRL7ylSwtjd+Tf+SRHDmS2Vk7eXjb1p7w6zv5Z57Jo49maSlzc1lZyaFD45O8LR38X1v4GX59th89mq99LcvL4y3doUM5ciRTU7Z08Pe26pF+VPvKSo4dy2OPZXU1c3O5fj2HD+d738tgoHZ4B1u1ifWD+muvZXExg0GWlnL4cL773XHnaod/tOWP9CsreeyxHDmSr389jz+emRlbOnhXWzj4/O+XLZaXc+5cduzw7Rr4F7Z28Mn/m+dmO/xzW34ajgpf39gD/8SWD35E6vDvmJDggX+H4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHI/wCx16RBXQmVZgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.856545764306277, 3.8335602397449016, 41.78769011666418])", "action": "('move', [4.856545764306277, 3.8335602397449016, 41.78769011666418])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIEUlEQVR4nO3dPWtkdRjG4edMJslu1pcNIjYiKohfwGbRxmbLrQQbCxHUQkQsFHEVRNhCEHQtRBHt/AIidqKVxTaCnRbBVtA1mJ1E42TG4hwny4romUw2DPd1VTOBzJzmN8//vM000+m0gAyDk94A4OYRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZnvQGLKvxuCaTqqqmqdXVI7zQZFIHBzUcVtMsaNPgXzXT6fSktwG4SSzpe2sH+6VLdeFCXbhQr71W165VVfX+5GxfaGurXn21rl6d6yWgH0v63toqP/usrlypqtrerlde6f8qk0k1TW1t1WOP1bff1mhUly8vdjvhn0z4+Q2HNRzW3XfXxkb/f26aapq69946d66apt57rz74oJqmDg4Wv6HwN8HPaXu7xuMaj2t9vQaDbnneQ9N0Q/7SpTp/vqrq5Zfrq69qZUXzHB/B99Y0NZ3WeNw9bcf7PHvf7efE2bN1+XLdd1/t7NRTT9X332ue4yP4fqbTGgxqb+8w+NOnq/7eJe9tZaUmk3rwwfr44zpzpn78sZ57rn7+ea41A/w3wc/jt98WMeFbg0EdHNSjj9Y771RVffllvflmHRx0CwlYKMH30za4s3O46J7niN0N2jn/9NP14ou1uVkPP1wrKzWdCp6FE/w8dnYOJ/yZM1V15Mvk2v9//fX65pt6/PGu9sFA8yyW8/DzuH7Ct8EfVRv85mZtbnapV9Uvv9Qdd9R06qpbFsWE76eduNeudRN+dbVb0i8myem0O/o3GtVLL9WTT9avv1aVA3gsiuDnMZvwp04taMK3Zh8bV67U22/X55/XxYvdJTrW9iyC4PuZHbRrJ/z6+kKDr+r228+dqxdeqKr68MN6911X4LEogp/H7LTc2tqCDtpdr2nq1Kl66606f74mk7p4sb74ooZDzXN0gu9nNuHbB4uf8LO3WV+vjz6qBx6o3d16/vn64YfuXB0cgeDnsbPTPVhfX+hBu5n2Svt77qlPPqm77qqtrXr22bp61eF6jkjw/cwmfGu2pF+8pqk//6xHHqk33qi1tfr66/r006qysOconIefxyz42VH6xY/epqnhsMbjeuaZ+u672tioJ56oqlpZWfQ7EUTw82i/4qaq1tZqY+PY9qzb5qvq/feP5w2IY0nfT3sJ3P5+93TOm+HhhAi+h9k1r3/80f1lba1q7ntj4aYTfD+DQf3++2HwR703Fm4uwffQhj0aHQZ/220nuDnQm+B7uz74W26pOo5D9HA8BN+DCc+yE3xvu7vdUfqm6SY8LAvB93DDhF9ZqVtvrbKkZ3kIvrfRqJvww2EXPCwLwfe2u3s44dt9eBOeZSH4Hm5Y0pvwLB3B9zYaddfS2odn6Qi+h3bC7+52T014lo7gexuNugcmPEtH8L3NJvwseFgWgu+hvVVuFvzqqgtvWDKC/79m98ZeP+HbX3a2pGdZCL6H9jvjZ8G3PxQNS0Tw/ezvHwZ/9uxJbgnMQfD/V3tObm/vMHi3yrF0fIllP/v7tb/ffXOsCc/SEXw/o1H99FP33fDH8hMUcJwE38/aWj30UJ0+XXt7df/9J7010FMz9Q2MfRwc1PZ2d4fs7bfXnXee9AZBH4KHIJb0vU2n3RH7prEDz5Ix4SGI8/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5C9FvYSsuzz40QAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIEUlEQVR4nO3dPWtkdRjG4edMJslu1pcNIjYiKohfwGbRxmbLrQQbCxHUQkQsFHEVRNhCEHQtRBHt/AIidqKVxTaCnRbBVtA1mJ1E42TG4hwny4romUw2DPd1VTOBzJzmN8//vM000+m0gAyDk94A4OYRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZnvQGLKvxuCaTqqqmqdXVI7zQZFIHBzUcVtMsaNPgXzXT6fSktwG4SSzpe2sH+6VLdeFCXbhQr71W165VVfX+5GxfaGurXn21rl6d6yWgH0v63toqP/usrlypqtrerlde6f8qk0k1TW1t1WOP1bff1mhUly8vdjvhn0z4+Q2HNRzW3XfXxkb/f26aapq69946d66apt57rz74oJqmDg4Wv6HwN8HPaXu7xuMaj2t9vQaDbnneQ9N0Q/7SpTp/vqrq5Zfrq69qZUXzHB/B99Y0NZ3WeNw9bcf7PHvf7efE2bN1+XLdd1/t7NRTT9X332ue4yP4fqbTGgxqb+8w+NOnq/7eJe9tZaUmk3rwwfr44zpzpn78sZ57rn7+ea41A/w3wc/jt98WMeFbg0EdHNSjj9Y771RVffllvflmHRx0CwlYKMH30za4s3O46J7niN0N2jn/9NP14ou1uVkPP1wrKzWdCp6FE/w8dnYOJ/yZM1V15Mvk2v9//fX65pt6/PGu9sFA8yyW8/DzuH7Ct8EfVRv85mZtbnapV9Uvv9Qdd9R06qpbFsWE76eduNeudRN+dbVb0i8myem0O/o3GtVLL9WTT9avv1aVA3gsiuDnMZvwp04taMK3Zh8bV67U22/X55/XxYvdJTrW9iyC4PuZHbRrJ/z6+kKDr+r228+dqxdeqKr68MN6911X4LEogp/H7LTc2tqCDtpdr2nq1Kl66606f74mk7p4sb74ooZDzXN0gu9nNuHbB4uf8LO3WV+vjz6qBx6o3d16/vn64YfuXB0cgeDnsbPTPVhfX+hBu5n2Svt77qlPPqm77qqtrXr22bp61eF6jkjw/cwmfGu2pF+8pqk//6xHHqk33qi1tfr66/r006qysOconIefxyz42VH6xY/epqnhsMbjeuaZ+u672tioJ56oqlpZWfQ7EUTw82i/4qaq1tZqY+PY9qzb5qvq/feP5w2IY0nfT3sJ3P5+93TOm+HhhAi+h9k1r3/80f1lba1q7ntj4aYTfD+DQf3++2HwR703Fm4uwffQhj0aHQZ/220nuDnQm+B7uz74W26pOo5D9HA8BN+DCc+yE3xvu7vdUfqm6SY8LAvB93DDhF9ZqVtvrbKkZ3kIvrfRqJvww2EXPCwLwfe2u3s44dt9eBOeZSH4Hm5Y0pvwLB3B9zYaddfS2odn6Qi+h3bC7+52T014lo7gexuNugcmPEtH8L3NJvwseFgWgu+hvVVuFvzqqgtvWDKC/79m98ZeP+HbX3a2pGdZCL6H9jvjZ8G3PxQNS0Tw/ezvHwZ/9uxJbgnMQfD/V3tObm/vMHi3yrF0fIllP/v7tb/ffXOsCc/SEXw/o1H99FP33fDH8hMUcJwE38/aWj30UJ0+XXt7df/9J7010FMz9Q2MfRwc1PZ2d4fs7bfXnXee9AZBH4KHIJb0vU2n3RH7prEDz5Ix4SGI8/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5C9FvYSsuzz40QAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "26ea2a482304948e5621e2500e30d113f01f3f9947fba1741ef1dd97dd4be4b7"} +{"episode": 5966, "episode_seed": 1534266871, "split": "train", "timestamp": "2025-09-15T22:45:44.309684", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1534266871, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.026516456447528, 43.24110537825401, -24.714935499944165])", "action": "('move', [21.026516456447528, 43.24110537825401, -24.714935499944165])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.026516456447528, 43.24110537825401, -24.714935499944165])", "action": "('move', [21.026516456447528, 43.24110537825401, -24.714935499944165])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.026516456447528, 43.24110537825401, -24.714935499944165])", "action": "('move', [21.026516456447528, 43.24110537825401, -24.714935499944165])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIRklEQVR4nO3dTYxeZRnH4fucmWktAUJio0hMEyJRhOKuCyHACoNGoaIsIIQEQwkIUqhsBGyGTkwk4EegRVbYaDUsSixuWIghEYFNF6QtkYWURV1Um5BIoKGd9z2PixnGwUAUJc70/V/X+iyeZOY39znP+ZiutVZAhn6lFwD8/wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggh+kg1DtbbSi2A1Efwk6/tqrYZhpdfBqiH4iXXiRB0+XH1ffV/z80Y9VYKfSAttHzxYV19d2+4aXvtzm5mprtM81TW/BZNoNKrrrqu9e6uqfe6z3U03Ddu+28/MVFW1Vl1VdSu7QFaG4CdNa9V19dJLdfHFVVXT0zUaVVV9YeMwu6PbvLnruqqqYaje6V0eP/NJs9Dzpk2155ft8+cPo1GrqunpOnCov+aa9pUvD/v3t9aq72s0sp8Xx4SfTAtz/u3j9dCDw55fda+9VlXd1FSNx9XX+M6t/ZZbugsuqKqan6+FU30SCH5iLTRfVa/+qT26s36xu9463k1P1zDUMNSGDe3WW7stW2r9+hqPq+8XD2ayCX6StVaj0eIAf/4P7ZFHau9Traqfman5+aqqTZvqllvq5psXD66S/YQT/OQbj6vrqu/r+PH2+2fr/vvagUN9VS1kPz1dl35xPDs3ddnli8fbz5tggo+w8Lzd1FRV1Tvv1OOP14MP1tGjVVULF/YzM+2G64d7vz913meqqkajmpoy7SeQ4IMsP2k/erTm5uqpve2vf6t+quuqxuM688x27/fquuu7DRuqqkajmp5eyQXzkRN8oqWT9heebzsfqyefbFX9mjV1cr6qDRdt7Lbe2a6/oV+3zqifNIIPtXw/77f7hp8+0j333PL9vOGKK/o77qirrlo8WPOTQfDRlm7IvfFG7ds3zM7WkSN9vft83hln1JVX1o4ddf75VbbxJ4Lg07VW4/HitfqxY/WTH40f+1n/9ze7pZdtTj99uP327p57av36ruznneIET9V7p/err9b27fXMM/XWW/98FP/TnxrPzvWbr66Pr++W/43g1CJ43mPpcv3pp2vXzvrds62qW7u2Tpyoqnb5ZXXXXbX560b9qUrw/KulAX7indqzp+18tL18oKvq1qypkyerq/bNa2vr1rrkkq7s551qBM/7W7oJf+RI27On++EPxm++PdV11XU1DO2Tn+iu+UZt315nn11lP+/UIXg+0PJr9cOH29wD7ddP1smTfT9Vw7iq6pxzatu2uu22Ou20qvISzilA8Pwbyx+tf/HFuv++4Y8v9AsP4S9+WuOiYW6uu+JL3bp1NR5X1eIzvKxCguc/svykfffu2rWr9u+vevcNnKp27bX1nTvq0su68o79KiZ4PoTWauFrOceO1RNP1K6dw5G/dP1UN9XX/Hyt+9jwrZvq1m93Gzc6rV+lBM+HtjTAX3ml/Xx3/fjh1qqfnq7RuKq1c8+tG2/sZmdXeJG8L+8986HNzNQw1GhUF17YPfxQt39//7WvDqNRVauZNd3rr3cHD1aVr2KvRiY8/73xeHF/rrXa95u244H28oF+7do6dKjOO88t+tVI8PyvlsIej2vHjjrrrLr77pVeEx9A8Hw0lv9/C7N91XINz0ej66pVjUaLn9BjdTLhIYgJD0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+AZtn+zAoDcPhAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "df6109d508c132fb101f1697da7f64020c5cb90bb603de4d1dc88ca49b00079e"} +{"episode": 5967, "episode_seed": 2919286087, "split": "train", "timestamp": "2025-09-15T22:45:44.962150", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2919286087, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [321.86782100706034, -196.43326668638477, -37.96913588225406])", "action": "('move', [321.86782100706034, -196.43326668638477, -37.96913588225406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [321.86782100706034, -196.43326668638477, -37.96913588225406])", "action": "('move', [321.86782100706034, -196.43326668638477, -37.96913588225406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [321.86782100706034, -196.43326668638477, -37.96913588225406])", "action": "('move', [321.86782100706034, -196.43326668638477, -37.96913588225406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "f8b6c894f5cb9a25aa30885c1f03c8486090ec36b6fd455f340d79b8d554f751"} +{"episode": 5968, "episode_seed": 4092574311, "split": "train", "timestamp": "2025-09-15T22:45:45.607112", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4092574311, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.1773254986679884, 0.877427376710581, -12.186067275416747])", "action": "('move', [2.1773254986679884, 0.877427376710581, -12.186067275416747])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.1773254986679884, 0.877427376710581, -12.186067275416747])", "action": "('move', [2.1773254986679884, 0.877427376710581, -12.186067275416747])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQUlEQVR4nO3db2hV9QPH8c+590yX2h81KVOGsKU0UUkMHavoQYaTqNmDiqQ/00VlREUU1KMiAqNHZijT/JO1ijIikVygQv8mkiUKImIEQRlpVDhZu7t/zu/BOf7Ljc01f/eefd6vh9uTw3be9/s953zP9wZRFAmAh0y5DwDA/w/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4nCOKJOnkSW3erGee0Y8/SlKpVN6DwjAKy30AqDw//6yWFkmaPVu1tSoWlWFgGCH4R+IcQaAo0qxZmjdPQaC9exUECoJyHxaGDcHjAlGk229XFOngQZ04oTBkVj9iEDwuEARavFiSDh3SgQMSl/EjB8GjL7Nna+pUdXVp/35JzOpHDILH+eK2x43TwoXKZPTDD8rllM0mN/CRcgSPC0SRslktXKhSSdu36/BhiVn9CMFjOVwgihQEmjVLtbWqr9cVV0jM6keIIGKqhj7l8zp+XOPHa8yY5CMA6UfwgBGu4dG/eDAolZTLlftQMDwIHn2JU48iffaZWlvV3s5d+pGBKT36USwqCLRkibZtU2Ojvvmm3AeEYcAIj37E78w0NSkMdfCgfvtNEuN82hE8+pHNSlJDgyZNUleXdu5UFBF82hE8+pHJqFTSnDmqq5OkHTuSd+mQZgSPfgSBikVJWrBAkr77TqdO0XzaETz6F8/q77hDo0fr2DF1dibDPlKL4NG/TEZRpJtv1tVXq7tbHR2SkmEf6cRaegykuloLF+rIEc2fL0kh50yK8RweA4nPkHgtPYvqU44pPQYSb2sXRSoUqD3tCB6DEA/sYajubq7hU43gMZC49v371dSkhx7Sr79K7IeRVgSPgcTX8D096ujQJ5/o6NGzP0TaEDwGEl+319Zq7lwFgfbtUxTx1RQpxb8NgzNhgm65RZJ272bJXXoRPAYSr7ENQy1YoCjSnj06frzcx4QhIngM2g03aMoUdXVp3z6JbS1TieAxCPEV+4wZuukmZbP6/PNyHxCGiOAxCEGgfF7V1ZozR8WiduzQP/+U+5gwFKyLPiuKVColb4jh3+JB/rbbtHev5s1j+U1KsZb+rHiBSanEI6f+sZY+5Ti1pXO2Y/766+SVUPQtCFQoKJ8v93FgiAheOv3g6ckndc89eu+95KxG38JQVVXK53XqlMSSu5RxDz4+XXt71dystjb98Yeeeko7dyoMaf4C8R8rn1drq6ZM0ebNEvthpIx78PFF+6hRmjxZkqqr9fffWrFChw8rDHlD5HzxRKiqSocO6cQJ7d5d7gPCRXMPXqfXj6xZo7vvVk+PwlBHj6q1VX/+yd27C8R/rLvuUhDoyBEdO8bnYrpwRierwsNQGzaooUGFgqqq1Nmp1lbl8yqVuEo9R/wR2NSkKNJPP2nPHolXZdOE4KXTE/uJE/X225o+Xfm8Ro/Wp5/q+eeTM5zmzzNzpq6/Xj096uyU+OukCcEnMhkVCqqv1+rVGj9euZyqqrRqld544+wG7UhUVWnxYl12mXp7kxkRzacEC2/OUygoDPXOO1q+/Owtqo0btXSp8nmFIatOTvvlF5VKqqlhKU66EPy/xSvtVq7Uiy9q1Cjl87rmGm3dqsZGFuEh9Qi+D8WislmtWKG1a5XNqljUjBnq6NC0aeU+sspx7t7VSA+C71uppN5e3Xeftm1L1pU1NGjHDl15JXNYpBgz1L4FgaqrtXat5s9Pbtrv2aPW1uRXPIdCShF83+Ll9NddpzVrVFOT3LTfulVPP61ikYfzSCuC71e8nH7uXK1fr3HjVCwqk9Gbb2rVquRXNI/U4Rp+APENvHff1SOPKJtVqaSxY7V5s5YsUamUfAsTkBaM8AOI79I/+KBefTV5DfzkSa1Yoe+/5xEd0ocRflDiwfyJJ9TWlty0r6vTrl2qqeHhPNKE4AclfhTX1aUHHtD27Ro9WrmcGhv1xRcaO5bmkRqcp4MSL7O9/HKtXq05c5TLKQz17bdqaVF3d7L7JVD5CH6w4ov5adO0aZMmT1ahoGxWH3+sl1+WxIM6pAPBX4S4+Rtv1JYtGjtWUvJG3fr1CkOJ90RR8biGv2jxG3WbNmnZsuSx3Jgx+ugjNTVxMY9Kx+l50eI9nVpa9MoryfcmnzqlpUu1f78yGS7mUdEY4YfizD72jz2mDRuSm/bTp2vXLk2dyjiPykXwQxQ/mf/rL917r3btShbb3nqrtm7VxImSaB6ViLNyiOLZ+4QJ2rhR9fXJRk9ffaXnnlMupyjiBh4qEcEPXXzTvqZGH3yga69N3qJtb9frryffSEnzqDRM6f+r+O2ajg41NycLcqJI69Zp2TIu5lFxOB//q2xWUaRFi/TWW8nT+GJRjz+ujg5lMmx3i8pC8MMjitTaqhdeSC7m83k9/LAOHEjeqAUqBFP64REvp8/ntXy53n8/ubyvr9e2baqtTab9QNkR/LCJR/KTJ9XcrC+/1KhR6u3VokVqb9f48SqVaB7lx5R+2GQyiiJddZXa2zVzpnp7VV2tjg699JKiKLnUB8qL4IdTPJOfMkVbtmjSJPX0qKpKbW167bVyHxkgiSn9pRDvlrF9u+6/X93dybbW69bp0UfZ0x5lxgg//OLC77xTK1cmC/LGjVMul/wKKCNG+EsiipJtrZ99Vh9+qLY2NTczvKP8CP5SObMN3u+/q66OPa1REQj+EjozpLPGFhWC4C8tvmQVFSUs9wGMcKSOisJEEzBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/A9bMPo1nJUEKgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.1773254986679884, 0.877427376710581, -12.186067275416747])", "action": "('move', [2.1773254986679884, 0.877427376710581, -12.186067275416747])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIVUlEQVR4nO3dX69U1R3H4d/ac47aRNRg0aQWG1BsEyRWgcRGIw21ii163/QN+FJ8PVWDscaq5V9DjFAVIxIjbVNJm6ioQZE5e/din4SWHDxgaE/3+T7P5VytZPKZ9Zu995ppwzAUkKFb6wUA/zuChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCZwV9X/N5DcNar4PrrQ3eVf7NMFRra70I/mvs8Fwy1t739fLL9dxz9cEHVVV9v9bL4vpZWOsF8P9iaalms3rjjXr22Tpzpr76qm69tbZtq6Wl6uwL64V3kmXjJL95c332WZ0/X8MwHDkylAl/fRE8y7qu5vPasqV2bF+qqqp28mT7+9laWDDVrx+C55LWahhq796ua0Nr9d57w/E3+/I1fh0RPJd0XbVW+37Vbvpeq6rz5+ut463KVL9+CJ5Lxh1+x4764Q+WhqGq2pGj7dy5ms3ck18nBM/luq6e3Ne1Vq3VkUP9X84MVYJfJwTPCp5+pg1DLS7WJ5+1d99d69Vw/QieFezcOdx269J8XlXt1VfbfO5W/DrhbeQ/jNfnNmxojz/e9X21Vi+9NHzxRZWpfl0QPJcbh/l9T7WqWlysv/6tvf/+Wq+J60TwXG7cyXftqtmslpaqqg4ccKhmnRA8K9u8uR55ZDn4F19Q+zoheC7XddX3tXFjPfZYVVU3q3feGc6cWetlcT0InhWMG/vOh4aFrh+GujhvBw5UecZ2+gTPCmazqqrt97dt93VDX31fL70wL8FPn+BZwfgzGPfeWz99cPmVt08ufPppLSy4OTdtgmcFrdV8Xq3Vrgf7ruur6h//rDdeH4bBJj9tgmdl41T/6J7ujju6qvryy+EPr/atLX+9Z6IEz8q6rvqleuCBunvzUDVUteN/np0/b6qfNsGzsvFr/I031u5dy32fOlVvvz10nU1+wgTPFbWuqmrfU91NN7XW6uzZOnasykP1UyZ4rmg8Ibfn57VxYw1DDUO9+WZbWjLVT5jguaJxqt+woXbtWn7l8OH66KPlH8ZhigTPtxkfod+/v6pqNqvTp4fTp6tM9ZMleL7NGPwTT1RrQ2vV9+3o0aqqrtP8JAme1d11V+16aJjPq6p+//Lw+ecOz02V4FndwkLtf6arVosLdehwf/Zjm/tUCZ5VjKP73r1VQ1+tqmZ/PGh/nyrBs4ox+K1bhy13DxfnVVUvPt+Xf6eYJsGzijHsTZvaL56c1VBdV6+9Nnz5xVovi+9E8KxiPDCzuFiP/qyv6ruuPj03O3ioys25CRI8V+v+He2OTW0+r1b1/O/6EvwECZ7VjY/WbbuvPbSztVZD1Wuv13iXjmkRPKsbT8jdckvt3Lm8q3/8cXfixPLPXTIhguca7N5dN99cVXXuXL3ySlU5KjsxgueqjCfnHn64tm6tqur7OniwqhykmRjBc1W6ri5erDvvrJ/8eHmIP3WqPvzQUdmJETxXa7whv2dPLSxUVZ05Mxw9MgyDqX5KBM/VGqf6J/d1t91WVXXhQh07Vq155G5KBM/VGq/J33NPbfnRuKe3t060Tz4x1U+J4LkG4w9d/fKJrqpaq2N/6t872Zdr9dMheK5B11Vr9ev9rWt1ww319dft+Inl+JkEwXMNxrB3765N3+8vXKh+aIcO1YULNZuZ6qdhYa0XwPQsLtZvftsdPlzbt9fTT9vep6QNPpm5dmfP1uJi3X77Wq+DayR4vrtvvqnZbPlf6JgEwfNdjGdmOpeApkbwEMRHNAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5F1RQmCJKHUvnAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b749bac421278faba0b2c40ddbfc297eaf37bef5bea53f1a1fd710d10272b3fb"} +{"episode": 5969, "episode_seed": 3060583311, "split": "train", "timestamp": "2025-09-15T22:45:46.252496", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3060583311, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.354949603112412, 1.3385561732676858, 15.486115295769508])", "action": "('move', [1.354949603112412, 1.3385561732676858, 15.486115295769508])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJ0lEQVR4nO3dX4hUZQPH8d+Z2Rl3o3WlhBAriVzDxf+5kpWoadqNhXTVTRBGBF10odGFRQhlhXcRREQZeBlIFwuia2wquuAGufm3dFOjLQ3SJf9lOzPnvXjO+8r7vryvuzPnOMd+38+VHHAccL7zPPOcc54TxXEsAB4KzX4DAG4dggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwTfPLWa4rjZbwJeCL55CgVFkapVssctQ/DNc/q03nlHO3Yk2QPZi2KGl2ZZt06ffabubvX0aPJkSSrw/Yts8QlrhvAl+/TTKpU0MKCtW5PpPV++yBgjfFO99JI++USTJmn/fnV1KY4VRc1+T/g7Y4RvklpNktav17RpGhnRm2+yaI9bgOCbpFBQpaKHHtKGDSqXtX27vvhChQLNI1NM6ZsnDOmXLunZZ9XXpwcf1M6deuABSUzskRFG+OYJ4/mkSdq0SaWSfvxRQ0Ms3SFTjPDNVq2qWNTHH2vOHC1YoHJZccz5OWSE4HOAxXncKowkORBqD+v2167p1CkuvENGCD4fwiA/NKTnntNTT2loKDkIpIrg8yEEf+GCdu/W0JC2bKF2ZIHg86FQULWq7m698YYkff65du9mxR6pY9EuN2o1FQr6/XetWaP+fs2erYMHNWEC63lIESN8bhQKGh3V3Xfr9ddVLuvwYb37LnfOIl2M8DkTxvnnn9e2bZo8WX19mjUrOVcPNIzgcyaOFccaHtaiRTp3TqtWaft2tbUpipjbo3FM6W+dMX21hrDvu08bN2rqVL34okolUkdaGOEzd/26qlXdccd4/k64r+a33zRlivTPrwqyR8MY4TNUqUjShg3q7NRrr2nXLmmM43yhoGJRU6bcSJ1TdEgDI3xWwurbxYtau1Z79khSV5eOHk2O31z4fwm/5z/9VM88o/nzM33DcNDS7DfwtxXCPnZMg4OSVCxq7VppvNfLFgp66y1t3ardu/X11yoWmdijEUzps3XsmEZGki0qly2Txr4zbRQlt9MsXKj2du3fr48+4rQ8GkTwmYhjtbSoUtHAQPLre+JEPfaYNK6lt3C97csva/lySdqyRadOqVhMvgiA8SP4TIR5+/nz2rcvObO+ZIna2sb5KmGtrlDQ229r8mT9/LM2bVKlwsNqUDeCz9DZszpxQi0tiiKtXl3XSxQKqtU0e7ZefVVxrC+/VE+PSiUGedSH4DMRfqgfPHjjhNrSpVJ9d7iHv79+vRYs0JUr2rxZw8NM7FEfgs/K6Ki++kpxrEpFM2dq6tR6Xyj86G9r0/vvK441MKATJyS2x0A9OC2XvrCZxR9/qK9PxaKqVa1cqfZ2qe6L5cIgv2SJPvxQnZ169FFVq5yfQx0IPisDA7pyReWyqlUtXZr8GK9/N9ooUrmsV175t4MNvSIc8XHJRBwnF9KOjqqjQzNmJAcbEob08Cqjoxoa4kk1GC+Cz0QUqbdXkuJYixdr2rTkYKPCQt2RI1q3TmvW6Nw5nkiHcSH4lIUf8KdP68yZpPCFCzVxoqrVlGbfUaTLl7Vtm44f1+bNLNdjXAg+ZaG+Xbt07ZokFYuaO/fG8UaFlYBHHtGGDZK0dWuyMBjuywNuhuBTFubXfX3J5XDTp2vOHGnsl9DfVHihjRs1fbouX9aWLbp4UcUiE3uMBcGnKTwV7s8/dfhwcqSrSzNmpL2aHh5B+d57krRjh3p6btxpA/xfnJZLU62mYlEHDujXXyUpijRvniRVKiqX0/7H1qzRCy9oZERz5yqO2eUSY0HwaQq7y/b3a2REkjo6tHixpLRjDIuB5bI++ECtrWppYT6PMSL41PxrlD10KAlwyhQ9/nhmz4aNY915p8TlNxgHPiipCfP5oSEdPZoc6epSW1t6J+T+Q7jelofJYzz4rKQmrJp9951OnVIUqVjU8uUZP/qdzeoxTgSfmjDQDg5qdFSSWlu1alWygQWQE3wY0xHm85cu6ZtvJCmONW2aOjszHuGBcSL4dIRVup9+Un9/cmTFCtbOkTsEn44wjP/wgy5cUKkkSatXM7Yjdwg+HeEi9337JKlWU1ubFi1q9nsC/gvBpyBM3S9fTm6JDTtedHRIPA8OOUPwqfnlFx05kuxRu2JFBtfSAg0j+BSEYTzM58PlMOGKWu5nQd4QfGp27pSk0VF1diZb3AB5w7X06bh+XXv3JkP9kiW65x6JH/DIH0b4RoUVu/5+XbyYzOe7u1UqsZE08ogRvlHhXrXe3mSbqfZ2zZol8ZwI5BIjfAqiSHv2JH+eP19dXVKKe1oB6eFT2ZBwD/zZszpzJjkyc6buukuVCsEjj/hUNiTsVLl3ry5ckKRiUd3dEvN55BXBN6RWUxTpwIFkU+p7703OwDO8I5/4YNYvjtXSoqtXb2xxc//9mjkzuVUWyCGCr19Ynx8c1MmTyZGHH1YUqVpt6tsC/jeCr1+4cnZwUOfPK4rU2qonnpBS36MWSA/n4esU5vOSvv02WaKbNEnLlklcYIccY4SvU9i7anhYAwPJkXnz1N6eLOMB+UTwdQqj+smT+v57TZigYlFPPikxvCPfmNLXKYQ9PKyrV5MjBI/8I/g6hTPtK1eqt1eHDun4cXV2Nvs9ATcTxVwUloa//lKpxPCOvCP4hsRxcjae1HFbIPh08MAJ3BZYpU8HteO2QPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQfJZKnF0CESQgAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.354949603112412, 1.3385561732676858, 15.486115295769508])", "action": "('move', [1.354949603112412, 1.3385561732676858, 15.486115295769508])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.354949603112412, 1.3385561732676858, 15.486115295769508])", "action": "('move', [1.354949603112412, 1.3385561732676858, 15.486115295769508])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI5ElEQVR4nO3dW8hlZR3H8f+z9n5T5yKasYIcsCCKzGNCShaBpSbV1IUYQmhXHc2I6XywyEicDhd54UWhHajALgqiC0vKNLXonApGUUbgUKLNWA6D7r3X08UeusxxnNf97n6fz+VcLXjXd/7Pfp691m699wIyDKu+AOCpI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIvhV6n3VV0AYwa/GMvXWVn0dhBH8arRW991XX/lKzWbVu1HPU2S66gvIsgz7X/+qm26q3btr796aTOqyy2o+r6k/BZuvdcPlKdR7tVb33lunn16zWbVWJ5/cf3BTnbCzjWMN1ltsMrfYU6q16r1OOqkuv7yqajKpe+7p117bF4sqe3hsPhN+BXqv/fvrzDPGv/5t2NioY4/tN99cZ5/dlvMfNo8Jvxrbt9fnvtCqxqr697/bhz4wzucmPJtO8KsxjrXrDe1NF7fZrE+ndetPJ1/+Uh8GzbO5LOlXY7GoyaTu/n0/97y+f98wjvWsHeOvfzfs3Fm9271js7izVmMyqXGsU09vu987LBbVWj3w0PDRj/Tlrh5sEhN+ZZY78w/v76+5YPzVb4aNaZtu1I031q5djuXZLCb8ykwmVVU7jm9XfmLYtq0txjp4sK65ph544ND8h6NO8Ks0mdR8Xm94Y7voohrH2tioO++s668vC3s2iSX9ii3P3u+/v848sx58sKpqx47+4x+3U06t7rt3HG1uqBVbDvOdO+vTn65x7MNQDz7YPnnlWGpnE5jwW0LvNZvVhRf2W25p02nN5+O3b2wXv8l37zjKBL8lLJ+cufOOfv55/eCjQ7V63onjr38zbN9emucosmrcElqrxaLOeXl79xWt9z6d1n1/bZ+4cqyq+XzVF8f/EcFvCa0d+jD/rsvr1FNq9lgfhvbNb7Vbf9I3NjTPUSP4rWIYaj6v5z63ffAD/ZhjapjUvn111afGh/dXeXKWo0TwW8jGRi0WdcmbhwvOr/msptN22+2Tb36rT6eC5+iwabe1LHfv/nBvP+ul/cDBofd6znPqttvq+c8vr8ThyXMHbS3DUONYLzqpffijbRxrOq29e2vPHnv1HB0m/Jaz/IMcPFiveEX99rc1ndZ8Xj/8YT//fMfyPFkm/Jaz3K7ftq0++9k67rhDhb9/dz9wwCd5nizBb0Wt1TjWK19Zl765z2bjZFJ33TN8bs+4XPDDEbOk36KWr8T50x/7a19Xf/lL6712bB9vvrm95CVtMR56tBaeKBN+i5pMajarF7ywXXF5H8c+TOqhfcNVV1U1D89y5Ez4reu/P0H16lePP7l1mAy1WIxf+2q77C1tPqvpxqqvjzVkwm9dy+26YairP9O2HTtWVRuGz3+h7r+/Tzd8mOdICH5LW764+mXntLe9tRaLmgx199117Rf7uHA+x5GwpF8D41j799fZZ/U//7lNN+qYY/qPftTOOsu3cXjCTPg10Frt2FF79lSvsfd65JH2vvdZ0nMkBL8eeq/X72qXXDIs32B9++113XWHjuvh8FnSr4flsfxdd9WrXlX79lVVPfNZ9ctf9BNP9DvTPAHulPUwmdRiUaedVrt3HzqKf+Af/eMfq3Gs3sv/2Rwmwa+N1mo+r7e/vc48bVws+nSjfee79f3vjZNJLWarvjjWhODXxjBUa3X88fXJT7XjjmvjWAcO1DV76h9/r8nUh3kOi+DXyXJh//pd7eKLxnFRG09rP/t5u+GGvnwlHjwum3ZrZnn2vndvnXH6+NA/h97rGU8f77iznfRiT8vz+Ez4NbN8cuaEE+rqq9s4jhtPq30PD1e8p81maufxCX4t9V6XXtYuOK8ee7Se/ew699xD/wj/myX9Wlqevd9+R33j6/WOd9YZZ6z6glgTgl9Xy4dnez/0Y/K+e8PhEPzaUzuHT/AQxGiAIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8BVSQlZypVahEAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "91afffcb1606b063974b252ef88710920bf4f80b3fd1daad9a1d69ecde7e37f9"} +{"episode": 5970, "episode_seed": 1475886380, "split": "train", "timestamp": "2025-09-15T22:45:47.245024", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1475886380, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.13741314917887, 23.208974271232567, 37.28795679827325])", "action": "('move', [8.13741314917887, 23.208974271232567, 37.28795679827325])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALdElEQVR4nO3dXYgV9R/H8c/MnN0efIg0y54uyoiSEoSwtVALHzJdUDA0ltIuC12Lyi3D3E2vtGLFApEi6qIuNNAkg1VEyDCNMjMiU0hrW9NaRU2X1XNmpos5Ff8/8f+n7e45O5/361JvfuzZ9/n+Zs5vzgZpmgqAh7DSCwDQdwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4FEJaapSSUmi5matW6eurkovyEWQpmml1wA/pZIKBa1fr7lz1d2tjz7Sgw8qTRUElV5ZzjHh0eeSRIWC2tu1dKm6uzVmjMaMqfSaXBA8+lY2xotFLVmi/fs1aJBaWzV0KOO9bxA8+lwQaP16vfuuJDU16Z57FMfU3je4hkefa2/XmDE6elQPPKD339eAAZIIvm8w4dFX0lRpqq4uzZ2ro0c1bJhaWjRwoJKE2vsMwaMPBYHOnNHAgZK0eLHq6lQqKYoqvSwjbOnRV7LftKz5TZv00EMqFBQEjPe+RPCAEbb06H3ZUNmwQbt2KUkUxyqVxKSpBCY8eln2Afvu3Ro/XoWCNm3SxIlKEoUMmwrgh45eliQ6e1ZPPqnz53X11br2WmZ7BRE8elOSKIq0fLl279bAgVq5UiNHMt4riJ87ek0cKwy1ZYtWrZKkOXM0c6aKRWqvIK7h0TuyMd7ZqcmTtXevRo7Ujh0aMoTxXln86NEL/jxU19Skfft02WVqbaX2asBPH70gTRWGOnJE+/crSbRggaZMKf8jKootPXpBNuHDUIcO6Y031NSkK66QeEKm8ggevYYNfPXh9UCPyubH7t06eVJhyKG6akPw6DnZg66HD6u+XmPHas8eRRGPx1SVQqUXgLxIU8Wxzp3TggXq7FSppDNnmO3VhgmPHpIkqqnR2rXaulWSWlo0fnz5pB2qBjft0BPiWFGkvXs1ZYp+/VX19dqwQWHITbtqQ/D417K78adPa/ZstbVp+HB98olGjOCLaKsQb8D418JQpZJee03btimK9PLLGjGCb6qrTgSPfyfbIR4/rrVrVSpp3jzNnk3tVYvg0ROuuUbvvKOGBi1apNpaNvNVi2t49IQ/C+d0XXXjtcHFShJJ+uknlUoKAsVx+QF4VDFeHlyUbJL//LNmzdL06Tp6VFFE7dWPk3a4cGmqJFGaatkyffaZJH3zjYYPr/Sy8P/xlowLl6YqFLRxo956S5IWL9bEiRJPv/YD3LTDBcruz7W3a+JEHTyosWPV1lb+61EEX/WY8LhAWdWrV+vgQQ0bphUrNGgQn8P1F1zD4wJlbS9cqI4O3XKL7r1XxaJqaiq9LPwjbOkBI2zpcVGYE/0TweOicMXePxE8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvC5FcdKkkovAlUmSNO00msA0EeY8PnU3a358/X665JULFZ6NagahUovAD0pTRUE2rFDTz2lPXt0440aP16jRimOFUWVXhyqABM+V+JYkjZv1p49qq1Ve7uam1UsKgjEpRvENXwunTun++7Trl2KIsWx1qzR44+Xhz/MEXzeZGF//rkmTFB3t8JQQ4fq44916600D7b0uRMEShLddZdefFFJoiDQsWNauLDSy0J1IPgcypqfP19TpqhYVE2N2trU2qogUKlU6cWhotjS51OppEJBu3Zp6lSdPq0g0JAh2raNO/bumPD5VCgojlVXpxdeUBQpitTZqWee0enTSlNO4Pki+NzKNvBPPKFx41QsqlDQ9u16800VCnxE54stfZ4licJQ+/Zp3DidOSNJV16prVs1enT5v+CG1zzPwlBJolGj1NxcLvz4cT33nM6e5SiOKYLPuTBUmmrhQk2erFJJtbXaulVr1vCBvCm29PmXnbf59ltNmKATJ5Smqq3Vzp0aPZqjOHaY8BaSRLffrpYWxbGCQN3damzU2bNKEjb2Xgg+/4JAQaA41ty5qq9XHKumRjt36tVXFUV8ROeFLb2L7LzN119r+nR1dChNNXiwPvhAEyaUT+nAARPeRRSpVNKdd2rRIiWJokinTumll3TqlKKIjb0LgjeShd3YqPp6lUqqqdH27Vq1ShIbexds6b1kr/ahQ7r7bp04oSDQ5ZerrU1jx3LH3gIT3kuW9M03a+XK8lT/7Tc1Nqqri6M4FgjeTvbw7Lx5mjNHcazaWn3xhZYtk0Tw+ceW3lF2zHb/fk2dqh9+UBTpkkv04Ye6/37O2Occr62jMFSppNtuU0uLamoURerq0tNP69QpiRt4uUbwprIjN48+qlmzdP68okh792r58vLT8mz78ootva/sG+8OH9a4cTpyRIWCBgzQ+vWaNImNfW7xqvrKHqS76SatXFke7CdP6tln9csv5Rt7yB+Ct5Y9MN/QoEceKZ+x/+orvfIKH8jnFlt6d9l5myNHVFen9vbyW8CWLZo8maM4OcSEd5edt7nuOrW26tJLy19ou2BB+cl5xkHOEDwkKY5VX6+GBhWLiiIdOKAlS8oX+cgTtvSQ/jiK09GhSZP03XeKIoWh1q3TjBk8PJsrTHhIfxzFuf56NTertlZJovPntXSpfvyx/BcpkQ8Ej7JCQaWSHn5YDQ1KEtXWat8+rVhR/l82gvnAlh5/yW7Ld3aqrk7ff1/+NH7jRs2YwVGcnOA1xF+yO/ZXXaXVqyUpDBUEamoqH8VhNOQAweM/ZFN92jTNn1++XXfggJ5/vvxNmOjv2NLjv2W/EceOado0ffmlamoUx3rvPc2Zw8a+3yN4/I1stm/erJkzFQQqFjVypD79VIMHc/yuf+PtGn8je3h2+nQ1NqpY1B13aPlyas8DJjz+XvbwbEeH3n5bjz2mG26o9ILQEwge/0j2dyzQ33FmEv9LmiqOFYbUnhNMeMAIN+0AIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR3wFo2UKOhY0ErQAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALdElEQVR4nO3dXYgV9R/H8c/MnN0efIg0y54uyoiSEoSwtVALHzJdUDA0ltIuC12Lyi3D3E2vtGLFApEi6qIuNNAkg1VEyDCNMjMiU0hrW9NaRU2X1XNmpos5Ff8/8f+n7e45O5/361JvfuzZ9/n+Zs5vzgZpmgqAh7DSCwDQdwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4FEJaapSSUmi5matW6eurkovyEWQpmml1wA/pZIKBa1fr7lz1d2tjz7Sgw8qTRUElV5ZzjHh0eeSRIWC2tu1dKm6uzVmjMaMqfSaXBA8+lY2xotFLVmi/fs1aJBaWzV0KOO9bxA8+lwQaP16vfuuJDU16Z57FMfU3je4hkefa2/XmDE6elQPPKD339eAAZIIvm8w4dFX0lRpqq4uzZ2ro0c1bJhaWjRwoJKE2vsMwaMPBYHOnNHAgZK0eLHq6lQqKYoqvSwjbOnRV7LftKz5TZv00EMqFBQEjPe+RPCAEbb06H3ZUNmwQbt2KUkUxyqVxKSpBCY8eln2Afvu3Ro/XoWCNm3SxIlKEoUMmwrgh45eliQ6e1ZPPqnz53X11br2WmZ7BRE8elOSKIq0fLl279bAgVq5UiNHMt4riJ87ek0cKwy1ZYtWrZKkOXM0c6aKRWqvIK7h0TuyMd7ZqcmTtXevRo7Ujh0aMoTxXln86NEL/jxU19Skfft02WVqbaX2asBPH70gTRWGOnJE+/crSbRggaZMKf8jKootPXpBNuHDUIcO6Y031NSkK66QeEKm8ggevYYNfPXh9UCPyubH7t06eVJhyKG6akPw6DnZg66HD6u+XmPHas8eRRGPx1SVQqUXgLxIU8Wxzp3TggXq7FSppDNnmO3VhgmPHpIkqqnR2rXaulWSWlo0fnz5pB2qBjft0BPiWFGkvXs1ZYp+/VX19dqwQWHITbtqQ/D417K78adPa/ZstbVp+HB98olGjOCLaKsQb8D418JQpZJee03btimK9PLLGjGCb6qrTgSPfyfbIR4/rrVrVSpp3jzNnk3tVYvg0ROuuUbvvKOGBi1apNpaNvNVi2t49IQ/C+d0XXXjtcHFShJJ+uknlUoKAsVx+QF4VDFeHlyUbJL//LNmzdL06Tp6VFFE7dWPk3a4cGmqJFGaatkyffaZJH3zjYYPr/Sy8P/xlowLl6YqFLRxo956S5IWL9bEiRJPv/YD3LTDBcruz7W3a+JEHTyosWPV1lb+61EEX/WY8LhAWdWrV+vgQQ0bphUrNGgQn8P1F1zD4wJlbS9cqI4O3XKL7r1XxaJqaiq9LPwjbOkBI2zpcVGYE/0TweOicMXePxE8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvC5FcdKkkovAlUmSNO00msA0EeY8PnU3a358/X665JULFZ6NagahUovAD0pTRUE2rFDTz2lPXt0440aP16jRimOFUWVXhyqABM+V+JYkjZv1p49qq1Ve7uam1UsKgjEpRvENXwunTun++7Trl2KIsWx1qzR44+Xhz/MEXzeZGF//rkmTFB3t8JQQ4fq44916600D7b0uRMEShLddZdefFFJoiDQsWNauLDSy0J1IPgcypqfP19TpqhYVE2N2trU2qogUKlU6cWhotjS51OppEJBu3Zp6lSdPq0g0JAh2raNO/bumPD5VCgojlVXpxdeUBQpitTZqWee0enTSlNO4Pki+NzKNvBPPKFx41QsqlDQ9u16800VCnxE54stfZ4licJQ+/Zp3DidOSNJV16prVs1enT5v+CG1zzPwlBJolGj1NxcLvz4cT33nM6e5SiOKYLPuTBUmmrhQk2erFJJtbXaulVr1vCBvCm29PmXnbf59ltNmKATJ5Smqq3Vzp0aPZqjOHaY8BaSRLffrpYWxbGCQN3damzU2bNKEjb2Xgg+/4JAQaA41ty5qq9XHKumRjt36tVXFUV8ROeFLb2L7LzN119r+nR1dChNNXiwPvhAEyaUT+nAARPeRRSpVNKdd2rRIiWJokinTumll3TqlKKIjb0LgjeShd3YqPp6lUqqqdH27Vq1ShIbexds6b1kr/ahQ7r7bp04oSDQ5ZerrU1jx3LH3gIT3kuW9M03a+XK8lT/7Tc1Nqqri6M4FgjeTvbw7Lx5mjNHcazaWn3xhZYtk0Tw+ceW3lF2zHb/fk2dqh9+UBTpkkv04Ye6/37O2Occr62jMFSppNtuU0uLamoURerq0tNP69QpiRt4uUbwprIjN48+qlmzdP68okh792r58vLT8mz78ootva/sG+8OH9a4cTpyRIWCBgzQ+vWaNImNfW7xqvrKHqS76SatXFke7CdP6tln9csv5Rt7yB+Ct5Y9MN/QoEceKZ+x/+orvfIKH8jnFlt6d9l5myNHVFen9vbyW8CWLZo8maM4OcSEd5edt7nuOrW26tJLy19ou2BB+cl5xkHOEDwkKY5VX6+GBhWLiiIdOKAlS8oX+cgTtvSQ/jiK09GhSZP03XeKIoWh1q3TjBk8PJsrTHhIfxzFuf56NTertlZJovPntXSpfvyx/BcpkQ8Ej7JCQaWSHn5YDQ1KEtXWat8+rVhR/l82gvnAlh5/yW7Ld3aqrk7ff1/+NH7jRs2YwVGcnOA1xF+yO/ZXXaXVqyUpDBUEamoqH8VhNOQAweM/ZFN92jTNn1++XXfggJ5/vvxNmOjv2NLjv2W/EceOado0ffmlamoUx3rvPc2Zw8a+3yN4/I1stm/erJkzFQQqFjVypD79VIMHc/yuf+PtGn8je3h2+nQ1NqpY1B13aPlyas8DJjz+XvbwbEeH3n5bjz2mG26o9ILQEwge/0j2dyzQ33FmEv9LmiqOFYbUnhNMeMAIN+0AIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR3wFo2UKOhY0ErQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.13741314917887, 23.208974271232567, 37.28795679827325])", "action": "('move', [8.13741314917887, 23.208974271232567, 37.28795679827325])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.13741314917887, 23.208974271232567, 37.28795679827325])", "action": "('move', [8.13741314917887, 23.208974271232567, 37.28795679827325])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIqElEQVR4nO3d26uldR3H8e/zPHtvIw8TeOGtCmN3daOTMOCMWhgKZaJ5QKEQtDyMFIM65gmU8CKjbgS9kITKwLucxHQUTPJUElFieBgVb8TDGIgX417r+XXxzB/gjLP32tPn9brcV4v1rPf6fZ/Db+2utVZAhn7RLwBYP4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIJnkcaxZrNqbdGvI0bXvNks2vQZ7LpFv44AVngWYxyrqt55px56qLpO7etE8CxAawdW9bvuqquuqvPPr717D/ydNWWkZwFms1paqt//drziihq7vlqdcUY9/fSBpd5qv3as8Ky3caylpdq7t+7+ede6fnmploZ2ww01DNWa2teW4FlXU9KzWf1s1/jqqzUMtbpa1/x4vOCCaq2GYdGv7/+dkZ51NQX/0G/aD35YS0vdbFZf/1p79tnu6GOqt/qsPcGzfqba33yzvrFl3Pffvlot9fM9T/VnbOsM8+vDlyrrpLUaxxrHuubq+Uf7+pXlaq3dent/xrZuHNW+TgTPOpnPaxjq3l+0J54ahqH2768zt9d113XTDXnWh5Ge9TDV/vLLde659dFH1aqOO2b88+PdltO76RYd68MKz5qbJvZ9+2rnznr//eq6amPbtavbcno3n6t9XQmetTVNkH1f999fzzxTKys1m9VZZ3c7buhmM1fm15uRnrU1XX5/7q/tzLPG2WxorTZtqhdfrFNO8ZjNAviCZW21Vp98Utdd2z77bBiGqlb33qv2hRE8a2gcq+/r9tvaP/7ZLy3V6mq76KLx8sttklkYIz1rZboy/6fd4/fOr9b183mdfPK458nuxJO66YuA9eddZ01MSb/7bt14Y7c678exVpbbHXf0J57kWt0ieeM5/Kbt7l1Xd981vvqfWlmpcWyXXjy/9NJaXbVDZpGM9Bx+07M0D/9uvOzy6od+HOurp7RnnulOOKEM84sleA6z6QP1zjt1zjn1+us1DNXm4x8f7c49z6n74nn7WRM33VSvvVbDULNZu/76Ove8rjW1L54VnsNpWsMffLCuvLKWl2t1tU49tfbsqWOPVfuGIHgOm+lC3Wuv1dattW9ftVYrK/X447V9u1P3jcJB4PCYtruvrtb1184+/LAtL1dV7dpV27fXfK72jcJx4PCYHrP55b3tiT3DMHT799f2bW3HjvLjFhuKkZ7DYKr9by+173y3Pvigq2pHf7nt2dOdtsV2943FCs8XNZ26f/xx27mzvfdeVdV83t12a3faFtvdNxzB80VN99vuu6/7y7P98nI3n9e3vtl2/KSbzar3UN0GY6TnCzmw3f25tm1bG8d+HOsrx81f+nu/ebMfot2IzFscuumZ+U8/rR9d3Wazfnm5uq5+9eth82bb3TcoIz2Hbrq7fsst9a9/98NQq6vt+xeOF1/c/BDthmWk5xBNl993764LL6z5vObzOvnktufJst19I3NYOBTjWMNQb7/dbr659u+vcayVlbrzzs529w3OkeGgTUNh19U999Qrr7SjjqpxrEsuqcsus919ozPSc9Cmx2z+8PB46WU1DP18Xps3j88/3x9/vGt1G53gOTjT5+Xdd+vMM9tbb3XDUNXa7t3dOd9W+xHASM/B6brqutr503Hv3m7a7r7j+qb2I4UVnoMwVf3AA3X11ePycr+6Wqef3h57rNu06cAXARuc4Pm8ppttb7xRW7fW++9X39eXjhoffbQ76+xuOqtn4zPS83n1fbVWJ51Ut9xSxx9f41g33tSddXY3m6n9iGGF51C88EI98kjdfntt2uTs/UgieA6aB+mOXI4bB63vaxxrNvMv4o48VngIYoWHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8DbsE1i6vwt/QAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "39f8c5aa4b2d5dd99bed3a89657daecadc917e73a7ba002ebf7004ebb8facd01"} +{"episode": 5971, "episode_seed": 2808025600, "split": "train", "timestamp": "2025-09-15T22:45:47.895559", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2808025600, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.420335700405961, 0.3538745406128439, 40.039713659081485])", "action": "('move', [3.420335700405961, 0.3538745406128439, 40.039713659081485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.420335700405961, 0.3538745406128439, 40.039713659081485])", "action": "('move', [3.420335700405961, 0.3538745406128439, 40.039713659081485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZUlEQVR4nO3df6jddeHH8dfZnTK1XM1GsaiI1toaQ5BZWQlzLFsOykl/RCPM9UP8o3/7pyAogv6KQEJqmFA4JIg5h7layoQibcOowTIcSraKYVoog7H743z/OKd7t2XfJLe7e309Hn+Ncz+fcz/3cp7n8/68P+97NhgOhwE6LLnYBwDMH8FDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkaUX+wCg1XCY4TBJlszfeVfwML+Gw8zMZDjM0qUZDOb5mwse5sv0dKans3RpJiaSZHIyTz2Vo0ezfn3WrcvMzDyc6gUP82ViYpz6oUM5fDiPPZaDB/Pss9m5M3ffnelpwbOYjC5Ik/kfqC48Z/4uhsMMBpmaym9/m/37c+hQnngif/nLeIPLL8+VVybzdCU/GM4eGZw/MzMZDMrK/0+TcKPgT53Ktm155JHxg697XbZsycc/no0b8453jJu/8JzhebVGr+cXXshXvpJVq/LFL2blyvFrfno6yXgY+xo3PZ2Jibl3uJdeyh//mPvuy7p1+dznMjWVZcvyzndmxYrccENuuSWbNuVNb8qll87zYTrD82qNJpt+/et88INJcsUV2bEjO3Zkw4a88Y1JMjWV5KwcXiNGb3Vn+vOfc+xYDhzI3r05ejRJ3va2PPNMlizJYJDjx3PZZbnqqrOeYfQk8/WrETznwenTue227N6dZcty+nRmZpJky5Zs355Nm/Le9ybJzExmZl4T2Q+HmZ7OYDA3dJmZycGDefDB/OIX+f3vxw9OTOSaa3LNNfnOd7Js2Vm7j1yMX4TgeVVGL5/JyXzve9m1K0eOJBnfYJ6cTJLVq7NlS26+OR/96Fm7LL7sR8c9HM5dop88mcsuG0/Lff7zueee8ePXX5/rr8+11+Z978uqVec+w0X9yQXPefPsszl0KPfemz17xo9MTIwv49/whlx9dbZvz223zc1PLYDX///kmWeyb18eeCCrVuXOO3PllRkM8sAD+fa3s21bPvShvOtdefObxxtPTuaSSy7q4Z5F8Jwfs8tGTp3K00/n7ruze3dOnMiZr6/BIG95S7Zvzx13ZO3aLF2a/Gvh2egid6EYrYSbPabhMJOTOX48+/Zlz54cOZIXXhhvefToeM3M9HROncrrXz/3DKOfah6Xzb4Sgue8GV26z77CX3opP/5x7rknR4/mH/8Yf2m0zWCQLVty++35wAfy1reOt5+cvCiLTc8wqjQZvxXNOnAgX/96HntsPP2YZNWqrF2brVuzc2euuuqs2bvR5f0C63yW4DnP/n2gfvBg7r03v/pV/vCH5F936UZD/dWrc+ut2bw511033mVyMhMT897LcJipqbmx9/Hjee65rFs3nmz7yU/yyU8myZo1Wb8+mzblppuyevXLPMkCGqW8PMFzAY2GxqPCjx3LQw9l//789Kfjr156aU6fTpLly/Oxj+XGG3PLLVm+PMl4mek85TMb6t//noMH8/jjefTRPP98du/O+9+fJM89l29+M1dfneuuy9q1470W9pn8PxE8F9z0dGZmxqfPF1/M4cPZuzc//GH++c8kWbp0bqS8cWM2b85nP5t16+Z2v7Bze6PaT5zI176Wxx/Pk0/m1Knxl77//XzhC+eGPTU1fg9bbKmPCJ55cmb2w2H+9Kf87Ge5884cPTqX9OgfK1fm2mvzpS9l8+a5pWgX6oQ6G/xHPpIjR7JkSd7znnziE9m2LRs2jO8oDAbjabnRJNyCH7f/PwTPvBrNyc+uWJmezsGDueuu/PKXOXHirC0Hg6xZk9tvz8035+1vH+8yNXXWgpfzdkyDQXbtyqFDueOObNhw7qRdFsf1+SsheC6Cfx+lP/10fvCDHDiQJ54Yj/Bnh/pXXJHPfCbbt2fjxqxYkSSTk1my5AIv0V+siwT+C8FzkZ15zj95Mvffn/3789BDef75JLnkkvG1QJItW7J1a266aXyFf85dwFdr9obhay7yMwmeBeGc+2K/+U0eeSQ/+tH4L1BGQ+zRCf/d786HP5xPfSo33njW7nkNno/PP8GzgIyyn11+87e/5fDh7NqVffvGG8wu3Vm+PGvX5tOfzq23ju/k8UoIngVnNMifnZOfns6xY7nrruzZk7/+de4e3siKFdmxIzt3Zs2aXH75RTnexUTwLFznDNRPnszu3bnvvvzud+Mr/DPv4W/dmi9/OTfccDEOdPEQPIvDmffFHn44e/fm4YfnrvCXLs2pU/nqV/ONb1R+utYrJngWjTM/0D3JU0/l0Udz//158MEkWbUqP/951q8ff9gUL0vwLD6zN+qTvPhinnwy3/1uVq7Mt761AP8gdWERPIvV6I9ZR9mP/ouHef9IyMVH8Cxuo4+BdFZ/hQQPRbwxQhHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5H/A/+Bi/Xg6bbKAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.420335700405961, 0.3538745406128439, 40.039713659081485])", "action": "('move', [3.420335700405961, 0.3538745406128439, 40.039713659081485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH7UlEQVR4nO3c349U9R3H4c+ZZSuBGmyVC0lKbQmtpXEDVkM0sHJFQ1WkmpI0xiuv/ctqMa1Ni6JG2xSwGMqPCm0AsQnChUZ6oTZxd863F2dgV9pYMe4Cvp8nezVzZubcvOb745ydrrVWQIbRjT4BYPkIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHm6k1qq15fu4Fcv3UUBVLYp8NKquW9aPFjwsk9aq76vva3p60vl4XJc/bAcPdR98UE8/XbfdVq0t7VeA4GHJjcfV9zU1Nfmbn69zZ9vp07V/f/e7F/v3Lk2tu7seeKBmZgQPt6xhSK+adF5Vx/5aR/7SHzw8euXlduFiV1VdN7VqVV28VMeP18xMjcc1WsqNNcHDV6rVsAfXddV1k86PHq2XX2qH36xjx7t/vjscN5qernFf/bg++aRNT9cddwz9L+3ZdW05twjh62jxJtxiJ07Uvn114ECdP1+XLrWqbjhmGParatVt412Pjp7Y023eXBs31sqVS36qgocvaeh8WJxfHZk/+qidOdu9sK+9sK8//+7o44+vGbLb9HT3rTX9tm1t7y+ndsy2b9/ZTU8v3zkLHq5b308W28OMvareu9DOnatXXu32PT9++3Q33OGyeDBfvbrWr6/NM+M9T07t2lW3377wbsMXx7AEWGqChy9q8XW1wTvv1LFjdehQvfSH/uTb3TBpv7o4r6qV32hbftJt2VI7dtTOnbVmzcJbDZb5Orzg4f8YEmltYYl+/ny9eqA/dLg78lZ38uTkwenpaq3m56uqVbXZ2e6RR2rrg23rQ6O77pocMz9fo9HS7sN/PsHD/zBMs68p88KF+u1v2v7f938/M3X2zFBON0zFr0zd+9nt3Z6fdw8/1L6/oVu7dvLCubnJjv0yj+f/TfCwoO+r9dUtGoTn5urixXrxxfr1r8Z/OzX61+VufjzZb79q9erasqX27q2f7mzr1nXfvLI+H48n3xo3cEi/huBhsjKvqhVXbky5fLkuXKg33qjnn68//bHv2zXJthVTdfe67ocb+917Rk88UevXf+bp8bi67ibq/CrBk25ubmET7v336+SJ/shbo/376/XXJw9OraiuhsV5VfWbNo3u+3GbnW0/e3x0z3c/81ZXZvnLc+JfhuChPvyw3ni9P3y4O/xmd+jP/dx4VFUrVtRoVJ9+OhzSZu6r7bO19cH28LbRhg2TFw4j+fJcUftKCJ50zz1XBw/WP063j/9dwybc8P8tg02bavfump1tP7q37vneJOv5+apWo6mbcdL++dxLT7pTp+ro0bq6D9da9X279wftqV+MHnusNmyotWsnzw7320xNLSz1bzm37InDV+TZZ+u116qq7ryzvrNu/Ohj3VN7RzP3dVfvoqtFU/flvA12KZjSk2u4ofXSpXrmmdq+vR5/vO6//9oD6ubehLtegifd4t+cGC7O3UKbcNfLlJ50XbfwizS33Cbc9TLCw5L/sNTN4+v+hQZfQEjtJXiIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8h/8x5knLMIOvAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5d246d17b4181840ea5e735ee7b3aa294ef534f47928e4f23c1753301787deb0"} +{"episode": 5972, "episode_seed": 3715575412, "split": "train", "timestamp": "2025-09-15T22:45:48.542631", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3715575412, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.490642316417752, -8.938545788938603, 6.2313737731759415])", "action": "('move', [-10.490642316417752, -8.938545788938603, 6.2313737731759415])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.490642316417752, -8.938545788938603, 6.2313737731759415])", "action": "('move', [-10.490642316417752, -8.938545788938603, 6.2313737731759415])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.490642316417752, -8.938545788938603, 6.2313737731759415])", "action": "('move', [-10.490642316417752, -8.938545788938603, 6.2313737731759415])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "d33783b79abf1cfcf9dc283fbff9c8974ddd5c155578cd26117ccaef0868943c"} +{"episode": 5973, "episode_seed": 3605467498, "split": "train", "timestamp": "2025-09-15T22:45:49.589917", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3605467498, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.29819640744437115, -1.2500909981480963, 45.531224858121846])", "action": "('move', [-0.29819640744437115, -1.2500909981480963, 45.531224858121846])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.29819640744437115, -1.2500909981480963, 45.531224858121846])", "action": "('move', [-0.29819640744437115, -1.2500909981480963, 45.531224858121846])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.29819640744437115, -1.2500909981480963, 45.531224858121846])", "action": "('move', [-0.29819640744437115, -1.2500909981480963, 45.531224858121846])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH90lEQVR4nO3dX48W5QHG4Xved1dLVFJMJCZAiogGpKJoBJomnnlu4vfxu3hkPPa0Sc9UjFlIWpE/WpUgtpSgAanF3X2nB7Ox38CXzH1dZztHz27y25nnmWdmhnEcA3RYrHsAwG9H8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8MzWOGZ3N+O47nE8SgTPDI1jtrczDFkuMwzrHs2jRPDM0DBkczPb27l8Obdvr3s0jxLBMyvjmHHM3bt59928807efjvvvbfuMT1KBM/cDEMePswHH+TDD3P9ev76l9W6R/QIETwz9OyzeeutbG5muczWxXF3d90DemQInlkZhuzsZBhy8sS4vT0m+eHe8vPPk1iuTwTPXD1/bHzssdVqlZ3tXPg0EXwSwTM/i0WSHD22OHp0OY5ZrcYLH+0kWZnLC575mW68HzuW48f3Dly6tPj1eDnBMzfDkO3tPPZYnj+2SsYkt+8sbt7McukkL3jm69Qfh8ViSPLDD7l4MTGNFzyzNE3jT50annkmSX76KVtbe1vrywmeGVosMo45fToHD+4duXw5w7D3j6BZ/R+AORqG7O5m//4cPjRO0/gbN/Ljj9nYaJ/GC57ZGse8+uqYDElu3MiVK3sHmwmeeRqGDEPeOLvYty9Jbt1aXbuym/q78YJnnqbp+tmz2bdvOscPV6+5Gy94ZmoYslrl0KE8+8xuxiTDlWvDw4ft03jBM1vDkHHMG2f3zulXLufmze4ZvOCZt2HIuT8tkiwWuXZ95/vvxnSv2wmemTt/PkmWy+zsbHz5j/ZpvOCZrSnsF1/Mgf270x67ra2sVtXbb4p/dTo8/njOnV9MC3VbW7l3Lym+qhc8M7exkTfODUmWy1y6lPv31z2gtRI8czadyc+dS5KNjTx4kK++Wu+I1kzwzNkU/PHj2dwcp09TXLiQFK/bCZ45m8I+cCCnT2e1yjjmk49WtRP4CJ4GBw7kzJkhyTDk0wurnZ11D2h9BM+cTc/Jbm7mlVeSjMtlvv/3xjffrHtY6yN4Zm66gH/h+dUiq93dZMxHHyetj80Jnpmbttkc+cPi6HOL6ctzFz6ubD2J4Clx5EhOnNxbmv/0k94d9YJn5qaPTz31VF44vve6q+9vL+/cyXLZ2LzgmbnpIdkkJ14cF8OY5P79fPZZUjmNFzzzN03jT5xaPP30IsmDB9naSgQPszRtv3nppRw6nCSrVS5dXO+I1kbwzN9ikZ2dHDyYQ4f2jnx7Iw8eZHOzbhoveCpMYb/88t6Pt27liy+Svqt6wVNhuqp/7bXs+12S/Ouf4xefN761WvBUmNbtXn89+/cnyfZOrl5tfGJO8FRYLLJa5bnncuD30zl9uPbl4pdfsrHRNY0XPDXGLBY58+pe31ev5Lvv/n+XvoTgqTEkyfk/L6evUH15fXXj27o9toKnxbRu9+tbq//z3+HrrxPBwyxNwZ86lf1PTm+tHv7292G16tpUL3i6PPFEzryWJItFLl3KvXtd77cTPHXOnV+OY1arXLiQu3eTpqv6jXUPAH4745hhyJtv5v33c/hwTp7Mk08mTS+xHcaef26QJPn559y5kyNH1j2OdRA8paavzS2X6x7Hb8slPXWmN9u1pT5xhociVumhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyP8Aojp32OvnjHEAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "112a4979ca6d28170cfc341d256aa74069d8e8ecc521898888bb26bf2e3222a9"} +{"episode": 5974, "episode_seed": 3566015628, "split": "train", "timestamp": "2025-09-15T22:45:50.230706", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3566015628, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-29.25995538065659, -15.540355669997462, 45.12957013898811])", "action": "('move', [-29.25995538065659, -15.540355669997462, 45.12957013898811])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJsUlEQVR4nO3dXYildQHH8d+ZObvbVkSmCZpe9IohhbVKvvRyYSyxhRdmsKybSogEUUS3QRcV1V1UhARhZKRI7oW24IXNtoRRiknlC3ZRTfaiZIvU0tI2c87p4px2tkXLtZ0zs/4+n6uZMw+c5+b7/J////znPIPJZBKgw8JGnwAwP4KHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHDTYaZTye03sN5/Q+wH+aTDIaJclwjhUa4WHeJpOsribJcJjhMI8/ni98Iffdl2R2CVg/RniYn8kkk0kWFmaj+ve/n/378+Mf59FH8/Wv553vzHicxcV1PAHBw/o6FnmSwSCDQZ56Kt/8Zu65Jw8/nMOHMxhkOMxLXjKPkxE8rJfxOONxhsMMBkly9Gjuvz8335ylpTz99Nph08n8wlym14KHU2+68L5lSxYWMhrlt7/ND36Qm2/OL385O2BhYbYyf+aZufDCXH99rr46Wf8FvMFkMlnfd4Amx1JPcuhQfvKT7N+f22/P3/6WJMNhRqNMm3vb23LFFdm9O1dcMb/TEzycGuPxbIqe5Oc/z/79WVrKwYOzv27dmn/+M0m2b89VV2XnzrzvfTn33CQZjTIYzOmWXvDwwk3rmUaeZDzOnXfmjjvy4IN54okkWVzMZDK7e3/DG3LDDbnyyuzYMbsFWFnJwsL6LsufQPBw0qYNLyyspb68nFtuyfe+l+Xl/OMfSTIYzC4H27blyivz0Y/mHe/I2WfPjl9ZyeLinEb14wkeTsJ4nNFoNj4nefrp/Oxn+cY3cs89OXo0Oa7zrVtz/vm55prceGNe//q1S8N0Qf7Yr3MmeDhpo1EeeigHDuQ738mjjyaZNTzdJ3feebn44lx9dXbvXrs0nHDzv1EEDyfh97/PD3+Ye+/NXXfl8OEk2bo1q6uzWfpll2XnznzgA7n44uQ/t9xsEoKH52U6af/kJ/OVr8xe2bIlKytJsn17rr02u3bl0ktzzjlJZlvlFxc3fkg/gY038LxM073kkrVXVlby5jfnppuya1de97rZnpnpwvs8/wHupBjh4SSsruaCC/LMM3n3u/Pxj+fyy9f2wM/z4/QXTPBwcg4ezGtekze+ce2V47fcbHKChxfiNIr8eJt1qgGb1TT1TX7r/lyM8FDk9LxMAS+I4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4Fk3/hFz8xE86+bYt0Mof9MQPOtjdTW/+lX++tfk3+VPv8mZDSV4TrVp2L/7XXbtykUX5UtfyvLy/B6Azn/lG2841aZf4L60lKuuypEjSfLyl2fv3uzenR078rKXzY5J5voURZIInvVy5EgOHMjdd2dpKb/5TZK89rX56U9z9tmzK0KS1dUsLBj550nwrLOHH87SUm6/PZdfni9/OaurGQ5z330ZjfKe98yO2SQPXisgeNbN6moGg9l9+5NPZuvWvOpVSTIaZceO/OEPufTSXHddrrlm7d5+MpH9uhI862n6IPX8e7o+7fnXv8673pUnn0ySwSAXXJCPfCR79uScc9S+3gTPXJxw0374cG65JXfckV/8Yrawd8YZ2bMnn/hE3vSm2Te/T2f4FvZOKcGzoe6+O/v25eDBPPFEknzrW7nhhtk8f+r4eQH/N8GzQY5/9uJDD2XfvjzzTD772Zx1ViaTLC/nq1/Nnj2zx7Va1TtFBM/GmUwyGiWZjedHjuSlL5396TOfyec+l3PPzSWX5MMfzgc/uGEn+eLiI1A2zmCQ4TDDYUajjMdrtU8m2bYtr351/vSn3HVXdu/OW9+ar30tf/5zxuO1nfnGqpNnhGfTOPaZ3PSHQ4fy7W/nttvyyCM5ejRJzjorH/tYPv3pbNkyO2Z6g2CG/7wZ4dk0jk3Rpz+ceWY+9ak8+GC++9186EM577z85S/54x/XBvaVlSwuZnExKyuz8vlfjPBsYtPP8KcLew88kH37sndv3vKWTCb5+9/z+c9nZSXXXpu3vz1JJpNMJjbq/neCZ9NbXU2y9kHddCv+vfdm584kOf/8XHZZrrsu73//hp3h6UPwnCZGo0wms+n6YJDl5Xzxi9m3L4cOJcn27bnwwlx/ffbuzStekcHAZ3jPSvCczp56KrfemltvzeOPz6bxZ5yRAwdy0UW25T8rwXP6m0xy222588786EfZti2PPZZXvlLwz0rwnOaOX9g7cCCjUd77Xqk/F8HzonDCwh7PQfC8iMj+fxE8FLFLAYoIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8C8vlSY8P3ZB5AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-29.25995538065659, -15.540355669997462, 45.12957013898811])", "action": "('move', [-29.25995538065659, -15.540355669997462, 45.12957013898811])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-29.25995538065659, -15.540355669997462, 45.12957013898811])", "action": "('move', [-29.25995538065659, -15.540355669997462, 45.12957013898811])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "f9aa8e46f60796b03352ae1c9a83c77acf04ff30363036de80f88921e46e20e6"} +{"episode": 5975, "episode_seed": 602843409, "split": "train", "timestamp": "2025-09-15T22:45:50.871570", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 602843409, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.554780813678843, 6.127925331290274, 32.12831965078012])", "action": "('move', [-17.554780813678843, 6.127925331290274, 32.12831965078012])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.554780813678843, 6.127925331290274, 32.12831965078012])", "action": "('move', [-17.554780813678843, 6.127925331290274, 32.12831965078012])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALMElEQVR4nO3dXYgW9QLH8d888zz7ooISpZlRCGZFL2YEpWWKBRKmUpSb7boXVlaoYEElVELUlVFg3RiiKZibiVorJEFi6HajYUWFYb5kyAYmJqvis/u8zLmYYfV0jsd9kbMz+/t+LtebgWe+zvz/8//PBFEUCYCH3EAfAID/H4IHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG0h18FA30EQCDSrqDD4KBPgJgUElx8OWyTp5UuTzQxwEMHukLPr6NP3lSL7+siRO1a5eiSNXqQB8WMBikL3hJ1aqiSK2tOn5cW7cqCAgeuCLSF3yc9zXXaOZMBYHa2tTRoVyOCTyg/9IXvJTk/dhjCkMdPqzdu5XLqVIZ6MMCMi+twQeBpk/XjTfq/Hl99ZXEIzrgCkhl8JKiSLmcZs9WEGjvXv31lwoFRvJAP6U1+NiTTyqK9Ouv2rtXEsED/ZTW4OMlN3feqXHj1NGhXbuSP3JjD/RDEKU5oUpFGzbo1Ck9+qjGjWPhHdBP6Q5eUhQlnZfLCkOaB/oj9cEDuHLSOoa/WKWi33/X9u0qFgf6UIBsS3fw8bT8gQNqbNTs2fruO4kH8kDfpTv42IgROndOYajWVok9s0DfpTv4XE7lsq6/Xg89pEpFW7eywBboj3QH323aNA0ZoiNHtHu3ooi7eqBvUh98GKpa1YMPavx4RZE++4zdskCfpT74IFClouHDNWmSJH3zjc6dY8kd0DepD14X7ZatqdHRo9q5U7kcF3mgD7IQfBhK0rRpGjNGnZ36/nuJjTRAX2RkpV28wHbHDl13nW65RTU1PJwD+iAjwV+sWlWlonye5oHeylTw3RtpAPRJfqAPoMfi2s+c0Zdf6tAhLVig0aP5LwDolawFf/SompvV1aV77tHo0apWkyk9AD2QhVn6WHwlHzVKt9+uXE5tbYoiagd6JTvBS4oijRqlWbNUrWrbNp06lfwRQM9kJ/h4yZ2kyZNVV6dfftGBAwN9TEDGZCd4SbmcJE2YoIkTFQT64guJ3bJAL2Qt+HJZo0Zp8mRFkbZt49uyQK9kKvhuU6eqtlaHDyevr2YYD/RMdh7LxeKNNA88oPvv1/Hj6uiQWJAD9FSmVtrF4rwPHtTYsSoUBvpogCzJYPDdokiVinK5ZDIPwOVkNvhqlc77L/7xGQ/5yGYz8bdljxzRwoV6/HGdOCGxQ77XqlUFAW8P8pLN4GPt7Vq9Wq2tamuTxAtteyUeDB07prNnad5INoOP70EnTdLNN6tS0Z49F/6IHiiVFIbat09Tp2rx4uRSDwfZDD4WhnriCQWBvv1W7e3K57mr74lqVYWC9uxRQ4OOHdP69XrhBZ09y0XeQmaDj0/PWbMURfrxR+3fLzGMv7x4rvPrr9XQoKNHlc9L0k8/8WFeF5kNPjZ+vO66S11dOnhQEvP2/1s8bm9t1bx5+vNP1dSoXNbDD2vrVtXXc4W3kNnHcrF4AD90qCZMUKHARepSokjlsgoFbd6shQt1+rTq6lQs6pFHtG6dRo7kKaeLjAePnimVVCjok0/04os6cyapfc4crV2rq66idiPZ/5351NzlxNf2tWv13HM6c0aFgopFzZ2r9eup3U72f+p47QguIYqUz+ujj7Rokc6fVxiqVFJTk9as0fDhyQom+ODXHrSiKHnA/sEHWrJExaLyeVUqevZZrV6tYcPYZOiI4AeneKCTy2nFCi1dmozhy2UtXqxVq1RXx2IbUwQ/CHVf299+W6+9JkmFgkolvfSSPvww+QA3d/Ke+NkHm/jaHoZ6800tX64gSMbty5bp/fcvXPnhicdyg0r3dtdXX9W77yoMk6v98uV6660L2+NgK2uvuMKldd+oL12qlSuVzyfv+HznHb3+OrVDIvhBI669WtWiRVq1Kpmik7RihV55hdqRIPjBIK69WNTixVqzJpmiKxT03ntasoTacQFj+MyLH6efPavnn9fGjcmdfF2dVq7UwoVMyOPfcIXPtrj2jg4tWKAtW5La6+u1apWam6kd/8TpkGHxvfrff2v+fG3ZotpalcsaOlRr1qi5WeUyteOfOCOyKt7cfuKEGhvV2qq6OnV2asQIrV+vefNUKiUvtwAuxkmRSZWKwlDt7Wpu1s6dyXbXq6/W2rWaNSvZHgf8Jybtsieu/Y8/1NSkPXuSOflrr9W6dZoxI/lX4L8i+IyJ5+F++02Njdq3L5mlu+EGbdigKVOYpcNlcHZkSTxu//lnzZ2rffuSl9LddJM2bdKUKczS4fI4QTKjXFYYav9+NTTohx9UX6+uLt16qz79VPfdxywdeoRzJBvKZeXz2rtXjY06dEj19Tp/XnfcoZYW3XYbs3ToKcbwGRDX3tampiYdO6aaGnV16e671dKi8eOZpUMvEHzaxT3v2qWmJrW3J3Py996rlhaNHctrqtA7jOFTLa59xw499dSF2qdN05Yt1I6+IPj0imv//HM9/bROnFBNjUolzZihTZs0ZowqFWpHrxF8SlWrCkNt3qymJp0+rdpadXVp5ky1tGjkSMbt6CPG8GkU/yYtLXrmGRWLqq1VZ6fmzNGGDRo2jNU16DtOnJSKIh0+rGJRNTXq7NTcudq4MXmZPLWjzzh3UioI9MYbWrZMXV2aP18ff6whQ5ilQ39xS59ScdulkrZv1/TpGjGC2nEFEHx6XVw4teOKYGltegVB8t0IXkGJK4UrPGCESTvACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4F0dwLQDk0DD8AAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK8klEQVR4nO3dzW8VVQPH8d/c2ysVpNhEbMQWREkhsbz5QnirrcrGKCQaXZm49A8w8U9wZ+LKuHDrRhcQ68K4MCVQAq2KNqUpEttibNBgrYAi2N474+LMA49PJE9ryZ0z/L6fFc7mnpj77Zk598xMkmWZAHioFD0AAM1D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wEjcwWdZ0SMA7ihxB58kRY8AuKNEHHy9rtlZ1etFjwO4c8QXfDiNn53VG29o504NDirLlKZFDwu4E8QXvKQ0VZZpYEAzMzp8WElC8MBtEV/wIe+1a/X880oSDQ3pyhVVKizgAcsXX/BSnveLL6pa1eSkjh1TpaJGo+hhAaUXa/BJomee0YYNunZNn30m8RMdcBtEGbykLFOlokOHlCQaGdHPP6tW40oeWKZYgw9eeUVZprNnNTIiieCBZYo1+LDlZts2bdqkK1c0OJgf5MQeWIYkizmhRkMffKC5Ob3wgjZtYuMdsExxBy8py/LO63VVqzQPLEf0wQO4fWK9hv9vjYbOn9cnn+j69aKHApRb3MGHZfmJCb36qg4d0pdfSvH+IB+2/Mc6OkCKPfjg3nt19aqqVQ0MSPHeM5sk+Y4hIFpxB1+pqF5XZ6eefVaNhg4fjnmD7blzevNNDQ7q8mVlGVM9YhR38Df092vlSk1N6dixaGP69FO9/bYOHND69ZqY4B4/xCj64KtVpameekrd3coyffRRtCWFzUFpqq4urVlT9GiAfxJ98EmiRkNr1mjPHkk6elRXr0a45W5+XqdO5Rfwu3fr/vslqRL9/124KcNX8sbdsnfdpelpff65KpV4Jvnwl2d0VL/8khe+c6dqtZhXG+CrDMFXq5LU368HH9Sff+rrr6WIbqQJP8UNDqrRUJrqnnu0ZUvRYwJuoaXoASxaraZ339W6ddqyRVmmWq3oAeXC3t+wmCipu1ubN0vx/noIayUJPtTz3HOSlKaq19XSEkNSWaZqVdeu6ezZ/MiWLersVJrGMDrgf5XhlP6GMIdWKqrVIukphD08rLm5/EhPjyTV65EMEPib8gQfTp1/+00ffqi33tKPP+YHCxVW5oaHdfmyJK1Zo8cek1ifR6xKckqv/wQ/Pa3XXtP8vJ54Qg88oDTNl/QKEqbx06fzNcTOzjz4QgcF3FJ5ZqLQVkeHenpUqWhoKL+ALk6aqlbTxYuanMyPbNigtWu1sMD5PCJVnuAlZZk6OnTwoNJUR47k183FndWHTz5zRtPTkpQk2r07/wcQp/IEH7bcSdq7V62tGh/XxESxIwqn8WNj+V+eVavU2ytxAY+Ileq7GUravl07dypJ9PHHUpHzadjmf+ZM/p+rV+vJJyWCR8RK9d0Md8t2dGjvXmWZjhwp8N2yaapKRT/9pLGx/MjWrVq1Kp4dgMA/KFXwN/T1acUKTU7md6gVcRkfPvP77zU6KklJov7+m0/cBOJUnp/lgnAjzf792rdPMzO6ckVSIZ2FD/z2W12/rlpNCwt6+ukI7+ID/qacwbe36733tHFjvqO+iIvm8HrL4WFJajTU3p7vsWOGR8xKeEofkuruVkuL6vVCLprDNH7pkk6ckKQ0VW+vVq5s/kCApSlh8EHYxd7SUuCa+OysJibU0iJJvb0szqMEyvklDe+WnZrS66/rpZd08aLU1Dvkw0nGF1+oXs8737u3yUMA/o1yBh9cuKD339fAgIaGJDX5ETNZpqNHJWl+Xl1d6upq5ocD/1I5gw8z7J492rxZjYaOH795sFnSNA9e0u7duu++5g8BWLJyBh9Uq3r5ZSWJTpzQhQtqaWnmKfX585qayi/gd+3S3XdzPo8SKG3wYaH84EFlmUZHdfq01KRr6PAhYXoP++0efTT/NzM8Ilfa4IPubu3Yofl5nTsnNekH+fCn5ujR/GVyjzyihx9u2ocDy1K2jTc3hMm0rU3vvKNVq7R9e75035RPTlONjOT/3rpVDz3EplqUQ2mDD6pV9fc38wPDOXx4Cr2kLFNPj1as0MJCPM/RBW6p/KehzX3VXLiAP3ky38Xf2qpt2yTW51ESJZ/hVcCvcZJOntTCgiStX6/t2yUu4FESfE+XILz/4o8/8iVCSV1d2rhRjQbBoxz4ni5B+OFtfFw//JAf2bEjf+4NUAoEvwThNXLffKMLFyRp5cr8lbZcwKMsCH4JKhUlicbG8lXCtjbt3y/xFHqUB8EvVnjnxaVLGh/Pj2zYoI4ONtihTAh+scKs/t13Nx9T29vLA61QMgS/WKHtqSldvJjfM9PfryRhekeZEPxiVavKsvwmnSxTaysrdigfgl+UsFX+11916pQkNRp6/HG1txc9LGCJCH5Rwvn83Jy++irfY9PXx9yO8iH4RQltT0zo999vXsCr+PfTA0tD8IsSgj9+XEmiel1tbdq8uegxAUtH8IuVphoaym+G37WLC3iUUvnvlmuWmRmdPClJtZr27dPq1UUPCFg6Zvj/L1yoX72qAwe0bp0WFrR1qyQ1GqzboWSSjHWnRbt0SZOTmpxUX586OnisFcqH4AEjXMMvQbg9NstUrTK3o5SY4QEjLNoBRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkL0jedyM2lnhyAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.554780813678843, 6.127925331290274, 32.12831965078012])", "action": "('move', [-17.554780813678843, 6.127925331290274, 32.12831965078012])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK8klEQVR4nO3dzW8VVQPH8d/c2ysVpNhEbMQWREkhsbz5QnirrcrGKCQaXZm49A8w8U9wZ+LKuHDrRhcQ68K4MCVQAq2KNqUpEttibNBgrYAi2N474+LMA49PJE9ryZ0z/L6fFc7mnpj77Zk598xMkmWZAHioFD0AAM1D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wEjcwWdZ0SMA7ihxB58kRY8AuKNEHHy9rtlZ1etFjwO4c8QXfDiNn53VG29o504NDirLlKZFDwu4E8QXvKQ0VZZpYEAzMzp8WElC8MBtEV/wIe+1a/X880oSDQ3pyhVVKizgAcsXX/BSnveLL6pa1eSkjh1TpaJGo+hhAaUXa/BJomee0YYNunZNn30m8RMdcBtEGbykLFOlokOHlCQaGdHPP6tW40oeWKZYgw9eeUVZprNnNTIiieCBZYo1+LDlZts2bdqkK1c0OJgf5MQeWIYkizmhRkMffKC5Ob3wgjZtYuMdsExxBy8py/LO63VVqzQPLEf0wQO4fWK9hv9vjYbOn9cnn+j69aKHApRb3MGHZfmJCb36qg4d0pdfSvH+IB+2/Mc6OkCKPfjg3nt19aqqVQ0MSPHeM5sk+Y4hIFpxB1+pqF5XZ6eefVaNhg4fjnmD7blzevNNDQ7q8mVlGVM9YhR38Df092vlSk1N6dixaGP69FO9/bYOHND69ZqY4B4/xCj64KtVpameekrd3coyffRRtCWFzUFpqq4urVlT9GiAfxJ98EmiRkNr1mjPHkk6elRXr0a45W5+XqdO5Rfwu3fr/vslqRL9/124KcNX8sbdsnfdpelpff65KpV4Jvnwl2d0VL/8khe+c6dqtZhXG+CrDMFXq5LU368HH9Sff+rrr6WIbqQJP8UNDqrRUJrqnnu0ZUvRYwJuoaXoASxaraZ339W6ddqyRVmmWq3oAeXC3t+wmCipu1ubN0vx/noIayUJPtTz3HOSlKaq19XSEkNSWaZqVdeu6ezZ/MiWLersVJrGMDrgf5XhlP6GMIdWKqrVIukphD08rLm5/EhPjyTV65EMEPib8gQfTp1/+00ffqi33tKPP+YHCxVW5oaHdfmyJK1Zo8cek1ifR6xKckqv/wQ/Pa3XXtP8vJ54Qg88oDTNl/QKEqbx06fzNcTOzjz4QgcF3FJ5ZqLQVkeHenpUqWhoKL+ALk6aqlbTxYuanMyPbNigtWu1sMD5PCJVnuAlZZk6OnTwoNJUR47k183FndWHTz5zRtPTkpQk2r07/wcQp/IEH7bcSdq7V62tGh/XxESxIwqn8WNj+V+eVavU2ytxAY+Ileq7GUravl07dypJ9PHHUpHzadjmf+ZM/p+rV+vJJyWCR8RK9d0Md8t2dGjvXmWZjhwp8N2yaapKRT/9pLGx/MjWrVq1Kp4dgMA/KFXwN/T1acUKTU7md6gVcRkfPvP77zU6KklJov7+m0/cBOJUnp/lgnAjzf792rdPMzO6ckVSIZ2FD/z2W12/rlpNCwt6+ukI7+ID/qacwbe36733tHFjvqO+iIvm8HrL4WFJajTU3p7vsWOGR8xKeEofkuruVkuL6vVCLprDNH7pkk6ckKQ0VW+vVq5s/kCApSlh8EHYxd7SUuCa+OysJibU0iJJvb0szqMEyvklDe+WnZrS66/rpZd08aLU1Dvkw0nGF1+oXs8737u3yUMA/o1yBh9cuKD339fAgIaGJDX5ETNZpqNHJWl+Xl1d6upq5ocD/1I5gw8z7J492rxZjYaOH795sFnSNA9e0u7duu++5g8BWLJyBh9Uq3r5ZSWJTpzQhQtqaWnmKfX585qayi/gd+3S3XdzPo8SKG3wYaH84EFlmUZHdfq01KRr6PAhYXoP++0efTT/NzM8Ilfa4IPubu3Yofl5nTsnNekH+fCn5ujR/GVyjzyihx9u2ocDy1K2jTc3hMm0rU3vvKNVq7R9e75035RPTlONjOT/3rpVDz3EplqUQ2mDD6pV9fc38wPDOXx4Cr2kLFNPj1as0MJCPM/RBW6p/KehzX3VXLiAP3ky38Xf2qpt2yTW51ESJZ/hVcCvcZJOntTCgiStX6/t2yUu4FESfE+XILz/4o8/8iVCSV1d2rhRjQbBoxz4ni5B+OFtfFw//JAf2bEjf+4NUAoEvwThNXLffKMLFyRp5cr8lbZcwKMsCH4JKhUlicbG8lXCtjbt3y/xFHqUB8EvVnjnxaVLGh/Pj2zYoI4ONtihTAh+scKs/t13Nx9T29vLA61QMgS/WKHtqSldvJjfM9PfryRhekeZEPxiVavKsvwmnSxTaysrdigfgl+UsFX+11916pQkNRp6/HG1txc9LGCJCH5Rwvn83Jy++irfY9PXx9yO8iH4RQltT0zo999vXsCr+PfTA0tD8IsSgj9+XEmiel1tbdq8uegxAUtH8IuVphoaym+G37WLC3iUUvnvlmuWmRmdPClJtZr27dPq1UUPCFg6Zvj/L1yoX72qAwe0bp0WFrR1qyQ1GqzboWSSjHWnRbt0SZOTmpxUX586OnisFcqH4AEjXMMvQbg9NstUrTK3o5SY4QEjLNoBRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkL0jedyM2lnhyAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "1fc261febb8afff8d6effc5449502aa4153650e7a6e7d9e896bd11579913acbb"} +{"episode": 5976, "episode_seed": 2311385848, "split": "train", "timestamp": "2025-09-15T22:45:51.519102", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2311385848, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.015408281520974, -2.329044597511791, 52.085059921270876])", "action": "('move', [-9.015408281520974, -2.329044597511791, 52.085059921270876])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.015408281520974, -2.329044597511791, 52.085059921270876])", "action": "('move', [-9.015408281520974, -2.329044597511791, 52.085059921270876])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.015408281520974, -2.329044597511791, 52.085059921270876])", "action": "('move', [-9.015408281520974, -2.329044597511791, 52.085059921270876])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOUlEQVR4nO3czY/dVR3H8e/53ZmaUAoGojy6FlxoiEVAE5EWdkRtY4oJBChERbQBIwkJ/4CkadGFSEFYUBMC1BqNIGxIwJhQJQEVJUTSkhQTWNCAFhYwc+9xcS99IPGZdtr5vF7ruclZzHvOPef3/U3rvReQYVjqBQBHj+AhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOBZYr3XeLzUi4gheJbSNPXRqHpf6qVkEDxLY1r4aFSTST39dLWm+aNB8BxVk8ks7NZqPK6fbO/nn9+vuqr27q3WajJZ6vUtd4LnKJlMajyuYajWav/fa/v9/VOfnFx3XXvuubZnT23ZUpOJ4I+4uaVeAMvfNPX5+aqqv77SH3u83bFl8uJfhqo2mv0C9meeafv318kn12RSg23oiBE8R1DvtbhY8/M1DPXSS/XII3XvPf2FF6tqmJ+vhYUaL/azz26XX14bN9ZJJ1VVtbbEa17eWndVwpHR+6ze3bvr/vv7zp3thReqqlasqHffrap++kf7xutr/fq2erXKjxLB80HqvXo/+J18797aunn86OPD7t2tqubmanGxquojp46/893hy1+qcz/RqmphoYahRqMlW3YOwfPB6L0mk4PR7nm5Nn9vsvNn/fV9Q1UbRjUZV1WdeWZt2lQbr+2nnd7qkOfwHB2C5/81HZUbjWbP1f78p75tW9334/7O4lBVo9G06n7uue3qq+vGG2dn9Sr3c0tA8PxfxuOqXtPL9qeeqocfrru3TcaTNgxtNKqFharqF17YNnxl8vUbhpUrZ586cLznKBM8/6NDj+uPPloPPlg7dtQ779RoVMMwS33tmrriir5hQzv5w61s6ccAwfPfOTAnN/XIL/u2u/qvfzPs3191yBf4y9b2r31jWLumn3Lq7Fpubs6uvvQEz39qOgY33aLHk3rsV33z7fXs79vbb1fVbBi+tbrkkrr11rroolq1qqpqYWG253MsMHjDv3foqNwbb/Qnn2ybb5/s+t1QVW1Wcl+1ql1wQd12W1188Wwnn/6BmH6KY4Qdnn+l91pYqBUrqqpefbWeeKLu/OFk129bVXvvoXo/5ZT2hc+Pv7VpWLOmHfhUmZk7Jgmef2r6sK2qXnutduyoBx7ou3ZVVZtfUYuL1Sf9pFV9w4a64qvt0ktnd3Kt6fyYJnje79BnZvv21Y/unPz8F+3ZZ1tVzc/XwmJVrxM+NP7mt4f16+qzn2tVtbhYrZmfOQ4Inpn3TcXu21d3bJk89FDtfrlVtfeu32vVCeMbbhyuv74+fs5sVK73mnMXdJwQPFWH38C/8kq/5+66687JvjdHdfBJW51xRl15Zd18c5111uxTB95v53gheA764x/6T3e2H3x/sv+tw67lzjmnrVvXb7qpnXba7Ccd149Tgqd6r+efr+3b6757+5t/q2Foc3OzN1hXf7rWr+vXXNvOPKuVkdjjn7NXumnDe/bU1q1VrU3/L8W77/bPrK5rrmtfvLyf/bGhjMotF3b4dNPg33qrLrusdu2qqn7eef2WW4a1a2ZvsBqVW07s8Omm77SeeGJt2lSvv15bt7a1a9vKlVXVxuNqzajcsmKH56ADR3SjcsuV4DmMa7nlzcmMw6h9eRM8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkHFe3YbOulwmoAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOUlEQVR4nO3czY/dVR3H8e/53ZmaUAoGojy6FlxoiEVAE5EWdkRtY4oJBChERbQBIwkJ/4CkadGFSEFYUBMC1BqNIGxIwJhQJQEVJUTSkhQTWNCAFhYwc+9xcS99IPGZdtr5vF7ruclZzHvOPef3/U3rvReQYVjqBQBHj+AhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOBZYr3XeLzUi4gheJbSNPXRqHpf6qVkEDxLY1r4aFSTST39dLWm+aNB8BxVk8ks7NZqPK6fbO/nn9+vuqr27q3WajJZ6vUtd4LnKJlMajyuYajWav/fa/v9/VOfnFx3XXvuubZnT23ZUpOJ4I+4uaVeAMvfNPX5+aqqv77SH3u83bFl8uJfhqo2mv0C9meeafv318kn12RSg23oiBE8R1DvtbhY8/M1DPXSS/XII3XvPf2FF6tqmJ+vhYUaL/azz26XX14bN9ZJJ1VVtbbEa17eWndVwpHR+6ze3bvr/vv7zp3thReqqlasqHffrap++kf7xutr/fq2erXKjxLB80HqvXo/+J18797aunn86OPD7t2tqubmanGxquojp46/893hy1+qcz/RqmphoYahRqMlW3YOwfPB6L0mk4PR7nm5Nn9vsvNn/fV9Q1UbRjUZV1WdeWZt2lQbr+2nnd7qkOfwHB2C5/81HZUbjWbP1f78p75tW9334/7O4lBVo9G06n7uue3qq+vGG2dn9Sr3c0tA8PxfxuOqXtPL9qeeqocfrru3TcaTNgxtNKqFharqF17YNnxl8vUbhpUrZ586cLznKBM8/6NDj+uPPloPPlg7dtQ779RoVMMwS33tmrriir5hQzv5w61s6ccAwfPfOTAnN/XIL/u2u/qvfzPs3191yBf4y9b2r31jWLumn3Lq7Fpubs6uvvQEz39qOgY33aLHk3rsV33z7fXs79vbb1fVbBi+tbrkkrr11rroolq1qqpqYWG253MsMHjDv3foqNwbb/Qnn2ybb5/s+t1QVW1Wcl+1ql1wQd12W1188Wwnn/6BmH6KY4Qdnn+l91pYqBUrqqpefbWeeKLu/OFk129bVXvvoXo/5ZT2hc+Pv7VpWLOmHfhUmZk7Jgmef2r6sK2qXnutduyoBx7ou3ZVVZtfUYuL1Sf9pFV9w4a64qvt0ktnd3Kt6fyYJnje79BnZvv21Y/unPz8F+3ZZ1tVzc/XwmJVrxM+NP7mt4f16+qzn2tVtbhYrZmfOQ4Inpn3TcXu21d3bJk89FDtfrlVtfeu32vVCeMbbhyuv74+fs5sVK73mnMXdJwQPFWH38C/8kq/5+66687JvjdHdfBJW51xRl15Zd18c5111uxTB95v53gheA764x/6T3e2H3x/sv+tw67lzjmnrVvXb7qpnXba7Ccd149Tgqd6r+efr+3b6757+5t/q2Foc3OzN1hXf7rWr+vXXNvOPKuVkdjjn7NXumnDe/bU1q1VrU3/L8W77/bPrK5rrmtfvLyf/bGhjMotF3b4dNPg33qrLrusdu2qqn7eef2WW4a1a2ZvsBqVW07s8Omm77SeeGJt2lSvv15bt7a1a9vKlVXVxuNqzajcsmKH56ADR3SjcsuV4DmMa7nlzcmMw6h9eRM8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkHFe3YbOulwmoAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7cd20f24babd843de15c1440b982760b32e7a56a0ed788b764ec8acbf32e3480"} +{"episode": 5977, "episode_seed": 65259723, "split": "train", "timestamp": "2025-09-15T22:45:52.511453", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 65259723, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-191.36937057090267, 51.78687537715425, -7.396996502219802])", "action": "('move', [-191.36937057090267, 51.78687537715425, -7.396996502219802])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-191.36937057090267, 51.78687537715425, -7.396996502219802])", "action": "('move', [-191.36937057090267, 51.78687537715425, -7.396996502219802])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALBklEQVR4nO3dX4hUdR/H8c+cmXEVUinWfygZVGsIiXURM0q6IBqIYOwqUUJ4UQsiEZaKmNSFiJhRSV5kEmlR9EchXbTQyk1ky4tyESOwoAwCSRO1Upw5Z+a5OMdZ83ngqXF3zqyf9+tuZ3fh7MJ7vr/zO2dmMtVqVQA8BGkfAIDGIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDELPhqVdVq2gcBpCaX9gE0RLWqSkVBoEwm7UMB0pSp3twTr1JRFCmfT748e1ZHjiiT0cKFqR4WkI6besLHUz0IVCrp2DF9+aU+/FDffKNx43TPPZoyRVGkbDbtowQa56YOPgh06pQOHNChQ9q/XxcuSFImo6lTkzN5Vvgwc7Ms6a8LuFpVJqPubq1dqxMnkgcnT9aiRZo3T4WCRo1K5ziBVA3xCR/vul+7G/fnn8pmNWKEJI0bpxMnlM2qvV1PPKFiUZMn9/8i4x1+hvKED0Plrj5hnT+vvj69+aZ6evTKK1q0SJWKKhW99ZYeeEBTp/bv24VhcmIP+BnKwUu6ckXff6+eHr39to4dSx589lm99JLK5f7IdXUtkMkw2OFs6Czp42vpUrKAL5W0e7f271d3d7IbFwSaNUuzZqmzU1Iy/Gvn9qQODI0J/98bctWqokhtbfr5Z0maOFGLF2vOHM2cqVtvTeswgebXrBO+thunq6mfPasdO5TP6+mnFYbK5/Xkk/riCz3+uIpF3X138oulknI5TtGB/6npJ/xff+nYMW3frgMHdPq0xo3Tjz/qlluSIV8uJxvyYjcO+P+aZsLHp+i1+94uXdJPP+nzz7Vzp779Nnlw/HgVCvrttyT4XE65XP9uXK5p/hagWTVBJPGsDoKk9nh3/YMPtHy5Ll9OfubBBzVrljo6dP/9ySO1Sc5uHPCPpR38tcO5t1eFQpL92LG6fFnjx6uzU+3tmjMn2Y0LQ2WzFA7UJ9Vz+Lj2c+f0zjvau1cnTmjPHhUKqlYVhjp4UJMmadq05IfL5f5VAIC6pD3hu7rU3a3Tp5MvP/pIhYIk5fOaPz95MN6Nu/YuGgB1SXXCl0pqaZGkMWM0fbqWLFFHh0aOTL4b32bDKTowcFKd8JmMZsxQsaglS3Tffdd/lwtswEBLdcJXKjp/XrfdJklRpEyGyIFB1QQ33nBvHNAoaQcfvwsVgIZIO3gADcR0BYwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGAk7TfAAP6ZKJL0t48RRB0IHkPAtR8jiBvBkh5NLX4X8lxOn3yi1at18WLyIOrD0yaa1LWfMLZpkzZv1u+/a+xYrVyZfJe1fR14eSyaUe19En79VcuWqbtbkrJZRZF6e1UsEnydWNKj6cRvUyxp717NmKHu7uQEPoq0YIEmTEj36IY2gkdziffnzp3TqlVauFC//KKWFoWhWlv14ovq7tYddzDe68eSHk0kXsl//bXWrtWhQ8lFuChSsaiNGzV79vUfHY5/iwmPphCXHATaulUdHTp0SMOGqVJRFOmpp7R7t2bPVrksUfuNYcIjZfGFtyDQmTN65hm9954qFeXzKpc1dqxefVWPPKIg4FL8wCB4pCmKko8L/OwzLV+ukyeVyykMJWnePL32mtraJN7ceODwX0RqymVls/rjD23YoHnzdPKkhg1TGGrUKD3/vD79VG1t/Ut9DAgmPFJQrapSUTarvj6tW6d9+xQEybp9+nRt2KD589mfGxQ8c6LR4otq2ax27tTDD2vfvmR/Lgy1dKk+/ljz5ysM+RjRQcE2CBqnNrQvXtTKldq5U6WS8nmVSho9Wps3a+lS5fPszw0ilvRokNr+3NGj6urS8eMKgmSLvlDQG2/o3nsl9ucGGf9aNEK8P3f5srZsUXu7jh9PlvHDh2vFCvX0JLXH1+cweJjwGHTxbD95Us89p127JCWX2adM0YYN6uyUePVbo/B0ikEUT5NsVrt2aeFC7dqlfF6SymUtXqw9e9TZqTCk9sZhbwSDorY/VyppzRpt26ZLl5LB3tKiTZvU1aURI1QuJ08BaAyW9Bh4tf2548e1bJl6e5XJKAgURZo2Ta+/rmLxbz+GhmFJjwEWhspmFYbavl2zZ6u3V8OGJbtxXV06fFjFoioVVavUngKCx0CKL6GfOqWuLnV16fz55DL75Mnavl3btmn06CR+TtpTwZIeA6N20r5vn9atU1+fstlkki9YoPXrNX26oojUU0bwuFG117dWKlq/Xi+/rIsX1dKiK1cUBHrhBa1YoZEjuX+uKRA8bkjtxrgfftDy5Tp4MLlPPgzV1qatWzV3rsT+XNPgHB71i99tslLR++9r5kwdPKhcLnkl3GOP6cgRzZ2bzH9qbxIEjzpVKsrldPq0VqzQo4/qzJnk1ewTJmjLFr37rsaMSe6o4aS9ebCkR/0OH9aaNfrqq2SAR5Ha27VxowoFXgPTpAge/1p8Qn70qB56SBcuJPtzklav1qpVam3l/rnmxZMw/rV4dN91V3LD3JUrmjRJe/dq0ya1tioMqb15MeFRj3jF/t136ujQ7bdrxw5NnNj/OJoWwaNOtebvvFPDh/OKt6GB4FE/Ih9yWH6hfplMcvMshgomPGCECQ8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8AlMHhKz7uo20AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKq0lEQVR4nO3dXYjldR3H8c+ZOaMklu1Su5qJV+oqFJYQs0WDorugCcKqKIqJNYkhJRgiPly0dlHgboYRtIaaz8+PayYr6QqmmOUKLnRTbJKPKbbGruvOwzldnP/OjJvmZjtzZv2+Xndz5gz8d+C93///d37//7S63W6AGgb6fQDA3BE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCigXf7abb7fdBQN+0+30Ac6LbTaeTgYG0Wv0+FOinVvfjPfE6nUxOZmio+fLNN/Pkk2m1ctJJfT0s6I+P9YTvTfWBgYyNZcOGPPFE7rwzf/pTFi/OkiU57LBMTmZwsN9HCXPnYx38wEBefDHr1uXxx/Pww3n77SRptXLEEc2VvDN8ivm4nNLvFHC3m1Yra9fm0kuzcWPz4sEH55RTsnx5hofzqU/15zihr/bwCd9bdZ+5GrdlSwYH84lPJMnixdm4MYODOfrojI5m6dIcfPD0Dxrv1LMnT/iJibR3/Ie1eXOefz7XXpv163PVVTnllHQ66XRy/fX5yldyxBHT63YTE82FPdSzJwefZPv2/PnPWb8+N96YDRuaF3/wg6xalfHx6ciz41yg1TLYqWzPOaXvfZaeNCfwY2O55548/HDWrm1W4wYGMjKSkZGcfHKSZvhPXdtLHfaMCf+fC3LdbiYnc+ih+dvfkuTAA3PqqTn22Hzta1mwoF+HCfPffJ3wU6tx2ZH6m2/m17/O0FAuuCATExkayne+k8ceyze/maVLc8ghzQ+OjaXddokO72veT/itW7NhQ371q6xbl9dey+LF+ctfsu++zZAfH28W5GM1Dj7cvJnwvUv0qX1v77yTTZvyu9/lhhvy3HPNi/vvn+Hh/OMfTfDtdtrt6dW49rz5t8B8NQ8i6c3qgYGm9t7q+h135Pzzs21b856vfz0jI1mxIl/+cvPK1CS3Gge7rN/BzxzOTz2V4eEm+0WLsm1b9t8/J5+co4/Oscc2q3ETExkcVDh8NH29hu/V/tZbuemmPPhgNm7MAw9keDjdbiYm8uij+fzn88UvNm8eH58+C+ADuEWA/67fE/7cc7N2bV57rfnyrrsyPJwkQ0M54YTmxd5q3MxdNPyHndZA4H31dcKPjWXvvZPks5/NkUfmzDOzYkU++cnmu71tNi7Rd8HkZFqtDAzk3Xfzhz/kyCOb36LfHDvp64RvtfLVr2bp0px5Zr70pZ2/6wO2XdC7+umd/TzxRK65JrfemuuuyznneJYX76OvE77TyebNWbgwmTGk2GVTz+/44x+zZk1uuSXbtmVoKAcdlKefzqJF7glkZ/Ng4429cf+jmRm/8kp+8pPcd19eeilJBgczOZkkjz6a444TPDvr96Jdp5O99urzMew5Zm443rIlV12VNWvy8svJjtQ7nXzjG1m5MkuWqJ33MQ8mPLugtzupt19h8+bcf3+uuCKbNiU7Um+3c9RRWbkyy5frnA8k+D1A7yx9cDDbtuWRR7J6dX7/+yQZGsr4eJIcdVTOOy+jo837zXY+iODntZmfrv/mN7nuutx7b5LstVfGxpLk8MPz7W9ndDT77WfXDR9O8PPUzCn97LNZvToPPZStW9NuZ3Iy3W4+/elceGFOP725M3jm877ggwh+3ul0pncb/f3vWbkyDz6YN95IklYr3W4GB/Pd7+b7329SHx/P4KBPOdglgp9HZq7MvfFGfvGLXH11/vnPJBkYSKeTffbJsmX50Y/yhS80759atIddIfj5Yuqc/PXXc//9+fGP8+KLSdJuN98aGcnFF2f58ub9vT+rA/8Twfdf74Ha7XbGxnL77VmzJk89lSR7753t25NkZCSjoznrrObNbi/gIxN8n00tzt13X375y6xbl7x3Ef6CC3LqqVm4cPqZvfCRCb4/Zp6QP/tsVq7M+vXZunV6b+yCBbnkkpx+eg46KEnGx9NuG+z8vwQ/12YO6r/+NVdckbvvzjvvNCvwSfbdN9/6Vi6+OJ/7XOKuInYrwc+dmbeybtqU66/P6tVN6q1WOp0sWJBly/LDH+bww5sfsTLH7iX4OdJ7TmerlVdfzW235ec/b/6IRm97bKuVE0/M976XZcsSe2OZNYKfdVOflk9OZs2a3HhjnnkmmbEyd9xxOe+85g9keUgns0rws2Wnne13352f/jRPP53MuOllyZJcfnmOPz4LF75n1w3MEsHPiqlz8m43zzyTyy/Pk09m+/bpRfhFi3LJJTn7bE/fZk4Jfha98EKuvDI339xsgO+lfsABOe20XHZZPvOZxIOlmVvOIHe/bjdvvZVVq/Kzn+Xdd5ubWycns3BhTjopF100vQhvcY45ZsLvZr2GX301hx2WLVvSbjeX62eckdHRHHNM4lZW+seHvLtZb//MAQdk1ap0uxkfz7Jl+e1vc8MNOeaYTEw02+ahL0z4WdHt5l//yrnnZsWKnHBC82chDHb6TvBzYWrXDfSX4GedlTnmD9fws07tzB+Ch0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/g1nvMcB6YdpeQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-191.36937057090267, 51.78687537715425, -7.396996502219802])", "action": "('move', [-191.36937057090267, 51.78687537715425, -7.396996502219802])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKq0lEQVR4nO3dXYjldR3H8c+ZOaMklu1Su5qJV+oqFJYQs0WDorugCcKqKIqJNYkhJRgiPly0dlHgboYRtIaaz8+PayYr6QqmmOUKLnRTbJKPKbbGruvOwzldnP/OjJvmZjtzZv2+Xndz5gz8d+C93///d37//7S63W6AGgb6fQDA3BE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCigXf7abb7fdBQN+0+30Ac6LbTaeTgYG0Wv0+FOinVvfjPfE6nUxOZmio+fLNN/Pkk2m1ctJJfT0s6I+P9YTvTfWBgYyNZcOGPPFE7rwzf/pTFi/OkiU57LBMTmZwsN9HCXPnYx38wEBefDHr1uXxx/Pww3n77SRptXLEEc2VvDN8ivm4nNLvFHC3m1Yra9fm0kuzcWPz4sEH55RTsnx5hofzqU/15zihr/bwCd9bdZ+5GrdlSwYH84lPJMnixdm4MYODOfrojI5m6dIcfPD0Dxrv1LMnT/iJibR3/Ie1eXOefz7XXpv163PVVTnllHQ66XRy/fX5yldyxBHT63YTE82FPdSzJwefZPv2/PnPWb8+N96YDRuaF3/wg6xalfHx6ciz41yg1TLYqWzPOaXvfZaeNCfwY2O55548/HDWrm1W4wYGMjKSkZGcfHKSZvhPXdtLHfaMCf+fC3LdbiYnc+ih+dvfkuTAA3PqqTn22Hzta1mwoF+HCfPffJ3wU6tx2ZH6m2/m17/O0FAuuCATExkayne+k8ceyze/maVLc8ghzQ+OjaXddokO72veT/itW7NhQ371q6xbl9dey+LF+ctfsu++zZAfH28W5GM1Dj7cvJnwvUv0qX1v77yTTZvyu9/lhhvy3HPNi/vvn+Hh/OMfTfDtdtrt6dW49rz5t8B8NQ8i6c3qgYGm9t7q+h135Pzzs21b856vfz0jI1mxIl/+cvPK1CS3Gge7rN/BzxzOTz2V4eEm+0WLsm1b9t8/J5+co4/Oscc2q3ETExkcVDh8NH29hu/V/tZbuemmPPhgNm7MAw9keDjdbiYm8uij+fzn88UvNm8eH58+C+ADuEWA/67fE/7cc7N2bV57rfnyrrsyPJwkQ0M54YTmxd5q3MxdNPyHndZA4H31dcKPjWXvvZPks5/NkUfmzDOzYkU++cnmu71tNi7Rd8HkZFqtDAzk3Xfzhz/kyCOb36LfHDvp64RvtfLVr2bp0px5Zr70pZ2/6wO2XdC7+umd/TzxRK65JrfemuuuyznneJYX76OvE77TyebNWbgwmTGk2GVTz+/44x+zZk1uuSXbtmVoKAcdlKefzqJF7glkZ/Ng4429cf+jmRm/8kp+8pPcd19eeilJBgczOZkkjz6a444TPDvr96Jdp5O99urzMew5Zm443rIlV12VNWvy8svJjtQ7nXzjG1m5MkuWqJ33MQ8mPLugtzupt19h8+bcf3+uuCKbNiU7Um+3c9RRWbkyy5frnA8k+D1A7yx9cDDbtuWRR7J6dX7/+yQZGsr4eJIcdVTOOy+jo837zXY+iODntZmfrv/mN7nuutx7b5LstVfGxpLk8MPz7W9ndDT77WfXDR9O8PPUzCn97LNZvToPPZStW9NuZ3Iy3W4+/elceGFOP725M3jm877ggwh+3ul0pncb/f3vWbkyDz6YN95IklYr3W4GB/Pd7+b7329SHx/P4KBPOdglgp9HZq7MvfFGfvGLXH11/vnPJBkYSKeTffbJsmX50Y/yhS80759atIddIfj5Yuqc/PXXc//9+fGP8+KLSdJuN98aGcnFF2f58ub9vT+rA/8Twfdf74Ha7XbGxnL77VmzJk89lSR7753t25NkZCSjoznrrObNbi/gIxN8n00tzt13X375y6xbl7x3Ef6CC3LqqVm4cPqZvfCRCb4/Zp6QP/tsVq7M+vXZunV6b+yCBbnkkpx+eg46KEnGx9NuG+z8vwQ/12YO6r/+NVdckbvvzjvvNCvwSfbdN9/6Vi6+OJ/7XOKuInYrwc+dmbeybtqU66/P6tVN6q1WOp0sWJBly/LDH+bww5sfsTLH7iX4OdJ7TmerlVdfzW235ec/b/6IRm97bKuVE0/M976XZcsSe2OZNYKfdVOflk9OZs2a3HhjnnkmmbEyd9xxOe+85g9keUgns0rws2Wnne13352f/jRPP53MuOllyZJcfnmOPz4LF75n1w3MEsHPiqlz8m43zzyTyy/Pk09m+/bpRfhFi3LJJTn7bE/fZk4Jfha98EKuvDI339xsgO+lfsABOe20XHZZPvOZxIOlmVvOIHe/bjdvvZVVq/Kzn+Xdd5ubWycns3BhTjopF100vQhvcY45ZsLvZr2GX301hx2WLVvSbjeX62eckdHRHHNM4lZW+seHvLtZb//MAQdk1ap0uxkfz7Jl+e1vc8MNOeaYTEw02+ahL0z4WdHt5l//yrnnZsWKnHBC82chDHb6TvBzYWrXDfSX4GedlTnmD9fws07tzB+Ch0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/g1nvMcB6YdpeQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "8b66342de067388205cb2fc7b0832a4492088b5d0c6ec79279dad7d971b263a5"} +{"episode": 5978, "episode_seed": 3961975795, "split": "train", "timestamp": "2025-09-15T22:45:53.166698", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3961975795, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2509349092531588, -5.140323430838153, -27.59202488725443])", "action": "('move', [0.2509349092531588, -5.140323430838153, -27.59202488725443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2509349092531588, -5.140323430838153, -27.59202488725443])", "action": "('move', [0.2509349092531588, -5.140323430838153, -27.59202488725443])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKk0lEQVR4nO3dTYxdZR3H8d+5d2YoLxUwIGqBYugLRoMbjImRxI2JCStjDIlptAVlY0yEDQksWBAXCoaEZY2JLqQkJhqNiUkXblxK4guJQSC0JbU0bePA0NKRmXuPi3M6AzgohI63c/6fz6K5c2fzJGe+fZ7zPPelads2QA2jWQ8A+P8RPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCJ5e22Y6TdvOehxsJsGT6TRvvpm2zWiUppn1aNhMgiejURYWMhrlzJksL896NGwmwZfWLeD//OccOJAvfzl33ZVnnkmSyWS242KzzM16AMze4mJ++tP+8ZEj+cIXMp1mPJ7lkNgkZnjy6U9n+/YsLGQ8ziuvJMnI38VAubCldVt011+f7duzspLJJEeO9NO77fpBEjxJsndvX/ixY3n99VmPhk0jeJJk797+wVrwZvhBEjxJsmdPkjRNjhzJ0tKsR8OmEXx13UzeBT8/n/Pn889/znZEbCLBkyS7d68/fumlJF5yN0yCJ0muuSZXX53V1SR58cVE8AMleJJk27bs2ZPpNEleeKEvn+ERfHXdTL5tW269tX/mxRfzr3/NcERsIsGTJAsL2bUrScbjPP98VlYSJ3NDJHj6sHfvTtNkPM7SUs6cmfWY2ByCp791v+mmtG0f/9//PtsRsVkET38bf+21ufLKfrvu+ednOyI2i+DpXXNNbrmln+EFP1SCZ32Gv+mm/pnnnpvhcNhEgqd39dXZubN//MILtuiHSfCkafpb926Gb5qcPZtTp9I0sh8awZNcOJnbsaP/cWXFbfwwCZ7kwm38xz6WK65I2+bNN/tX1HcndgyG4EkuBP/Rj+aGG5JkdbUP3pJ+YARP8pYZ/iMf6Z/x2ptBEjxJ+v25669fD/7ll/vnGRLBkyRNk5WVNE2/pE+ytJTFRR9fOzSCp9dN5jff3P/4+us5ejSxbzcsgqfXBf+JT+Syy5JkaSnHjiX27YZF8PS64HfuzIc+lCRnz+bIkUTwwyJ4emszfBd80i/pBT8kgqfXNJlO8/GPZ/v2/pkTJ5L4VslBETy9LvjRaP1k7vTpnD2b8di+3XAInnfqvpQiyalT+cc/Eqv6ARE867rb+F27+mX8yZM5eTIR/IAInnVd8Lt3Z34+SRYX++AZDMGzrgt+z57Mz/ePu307M/xgCJ513Svqd+7MZZf1kR8/niRzc5ofCMHzTvPz6y+wPXYsy8veQjMcgmcDt93WP3j55f7bo83wwyB4NrB2Mnf0aF59dZYj4eISPBvogh+Pc/p0H7wZfhgEzwY++ckkmZtL0p/MuY0fBsGzgR07srCQySRJ/+F2I38pg+Ay8jZrXxd/yy1ZXU3T5KWX+vIZAMGzgYWF7N2b+fm0bf72t5w/n7iNHwTBs4GFhezYkZWVjEZ57bWsrMx6QFwkc7MeAJeipslXv5orr8ynPpWbb85VV/VPstU1rYUalGGGZ2OTSSaTNE1GIx96MxxmeCjEph0UIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngutul01iPgXQmei2oyyWik+UuW4Ll4ptOMxzl1KiN/V5coF4aLpJvb//CH3HVXfv7zJGnbWY+Jd2paV4UPbjrNaJTDh3PgQE6cyI035k9/ynXXpW3TNLMeHOvmZj0Atr6u9t/8Jvv3Z3Ex112Xgwdz7bVqvwQJng+mbTMa5dChfPvbOXcuO3bk0KHceeesh8XG3MPzAazN4ceP59y57NqVX/0qd95pl/6S5R6eD2at+YMH85nP5HOfy+pq5qwcL1GC5/3rbtrPncuJE9m9O3lL9pNJxuPZjo7/wpKe96mrvW3z6KO54448/XSm07RtJpP+HJ5LmOB5P7raz5/Pd7+bH/wgS0v57W/zxhtpmoxGXm9z6XOvxXvWLddffTXf+15+9rMkufvuPPlkrrrKCdxW4b9k3ptuuX76dO69t6/9W9/Kj3+cD38406natwrB8x50E/ixY9m3L7/8ZZI88ECefDLbt/eLfLYIl4r/pTtUn0zyox/l8OGMRnnkkTz2WC6/XO1bjmM5/quu9rbNeJznnsu+ffnKV/Lww/2TVvJbjeB5d289VO/yXl7O3Fzm5tS+RVmPsZHuXH08zu9/nwMHcuZMmiZtm23b+lfRqX1rcizHuxiPc/hw9u/PK6/k/Pk8/XTffNS+hQmet1tL+te/zje/mddeyw03ZN++/ldS3+IEz39omjz1VO69N8vLufHGPPVU/wY4G/Jbn0vIBW3bz+EHD2b//iwvZ8+e/u2u3cdXsfW5iiR5S+2PP57vfCcrK7n99vziF7njDm+AGxJLei7ct3f/jsdZXc1nP5tDh3Lrrd7cPjDO4ctb24pb2647dCif/3x27jS3D4/ga1v7KIs//jFf/OIGv2JYXNHCuq24xcV84xv50pfyk5/0T3b382ofIrdnVXXL9ZMnc889+d3vkuQvf1n/rfP2gfK/eEndm9uPH8/dd/e1P/hgnniin9jVPlxm+Hq6qo8ezde+lmeeSZJHH81DD1nDVyD4Yro9+b/+Nfv25dlnMzeXH/4w99+//isGTfDFdFV///t59tlccUWeeCL33ectMXU4liumC/748dxzT77+9ezf3+/Vq70GwVe1vJxt27y0phrBl9TN82qvR/BV2aIryUlMVWovSfBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/waSuXh14yzwCQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2509349092531588, -5.140323430838153, -27.59202488725443])", "action": "('move', [0.2509349092531588, -5.140323430838153, -27.59202488725443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "8c218f2df4f47b6f7e4895a96bcb2fb363b119eefede89a8dcc6db5b5209f029"} +{"episode": 5979, "episode_seed": 1441211855, "split": "train", "timestamp": "2025-09-15T22:45:53.801653", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1441211855, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-32.72303668176734, 34.11764163214132, -46.109364490004076])", "action": "('move', [-32.72303668176734, 34.11764163214132, -46.109364490004076])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-32.72303668176734, 34.11764163214132, -46.109364490004076])", "action": "('move', [-32.72303668176734, 34.11764163214132, -46.109364490004076])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-32.72303668176734, 34.11764163214132, -46.109364490004076])", "action": "('move', [-32.72303668176734, 34.11764163214132, -46.109364490004076])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJyUlEQVR4nO3dTYjcZwHH8d/sm1lTkjaxlCAVBMWDehCMXqQEUrBiQC/G+oIlpk3tJZco6k0JihZFURSsrS+kXjQJQilCsdKDl0I1p4oKUhQ8JDHZlqrb7MzseJhp0pZW24pudn+fD2GZ7Oblv8v/O88zz8z8n8FkMgnQYW6jDwD4/xE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FFnY6AP4r00ms4+XbwwGmZ/f2IOCq9MmCf65MQ8Gs0+Ox5lMMjeXubkrnwRe2mAybWmjPPd/f9XRrqzk4sVcuJCVlfz1r7nhhtxyS+bnZ3cQwLM2eoR/OUE++WTOn8/58zl3Lm96U972tozHmZ/P4cP5zW+ytpbV1Vy6lGeeyWiUp5/OTTflPe/Jzp2ChxfY6ODPnctwmCefzNmzefe7s317kvz+97n77vzpTzl/PmfP5plnMhxmOEySY8fyta/Ngn/00Tz++JV/anExy8vZtSvLy1ldzc6dG/MdwVVsQ4MfDvP2t+fcudlvf/vbvOMdSbKykvvvnxU+tbycHTuybVu2bUuenRccOpQ//jGvf3127cr112f37rzudbMb0z825zkIeJ4NDX59fVb7rl1ZWsp4PPv8jTfm05/O009n9+5ce22uu272a+fO7NmTJIuLSXLs2AYdN2xWG7pot76ekyevjN5vfWuuueYV/PXR6Mqj9Mur98/9CDzfRq/Sv5TxeDbgv6Bnz8DBf2Gjgx+Nnj2QgZjhf22jgwf+j6xjQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBv0qXN7ODTUTwr9Lly2rKnk1E8K/Y9Gq6R4/m299OXBGbTWWjt5raVCaTjEZZXMy3vjWr/Ykn8pnP5IYbnrerLVy1XLX2FZhuaffQQzl4MH//++xh/EMP5eabMxplwZ0nVz1T+pdrfT3z8/nDH3LkSJ56KnNzWV/P8eO5+ebZl+DqZ4R/WaZbWl24kPe/P48+moWFjEb5yEfyox9lYcF8nk1D8C/L9Id02205cSJLS1lby969+eUvs2OHTejZTEzp/7PRKINBvvSlnDiRhYWsrWXPnpw4kR07sr6udjYTI/x/MF2oO3kyt96aJINBrrkmJ09m//6sr9uBnk3GCfvvTGt/7LHcdVcmk9lul8ePZ//+jMdqZ/Nxzr6kae1PPJFDh/K3v2UwyHCYw4dz5EiGQ7WzKZnSv7jpT+Wf/8wnPpHTp2cLdfv354EHsm1b4gV2bE7GqRc3XY374hev1P7mN+fEiSwvW5ZnEzPCv4jpZP6ee3LnnZmby2SSXbvyi19k7161s7kJ/oWma++/+lUOHMjaWgaDzM/n3nvz8Y9blmfTc/4+z3Tt/fHHc/vtWV1NktEox47lox/NcGhsZ9Mzwl8xHcAvXszBg3n44bzmNbl0KR/6UO6/P/PzGQwM72x6TuGZy/d7n/vcldrf9a5873tZWlI7W4SzeGY6mf/KV/L972d+PpcuZc+e3HdfrrvOQ3e2DlP65Nk3w50+nQ9/ePaE3OJifvazHDhgWZ4txcg1K/zMmXzqUxmNkmQ8zvHjOXAg47Ha2VLaR/jpdP3s2bzvfTlzJouLGQ5z55357ndnl7UQPFtJdfDTb30yycGDOXUqy8tZXc0tt+TkyWzfbjLPFtQ7pZ9MMh5nMslnP5tTp7K4mNXVvOUt+eY3s327yTxbU+8IP3397H335ciRDAaZTPLa1+aBB7Jv3+xLsPWUBj+drv/61/ngB7OyksEg43F+8IMcOuRJOLayxlN7Wvtf/pLbbsuFC5mby3icz38+hw65rAVbXN0IPx3A19by3vfmkUdmr6i79db8+MdZXEy80Z0trWs4m0yyvp7hMHfdlUceyeJiLl3KO9+Zu+/O0pIrUrL1FQU/3ShqYSHf+EZ++MPMz2c0yvXX5zvfyY03WqijQsuUfrot1NxcHnwwH/tY/vGPJJmby09/mg98QO20aNkPbVr7736XO+7IU09lfj7jcb76VbXTpWKEny7Lr6xk//4rr5/95Cdz772zOwIosfVP9ukd2nCY22/PmTNZWspwmJtuyte/bk846mzx4KcLdYNBvvCFnD6d+fmsreUNb8g99+Taay3LU2eLT+mnz7r/5Cc5fDjr65lMsmNHTp3Kvn1eUUejrXzKT5N++OEcPZrRaLZQ/+UvZ9++jEZqp9HWX6X/859z8eLs9tGjueOOjEaW5Sm1xaf003e5/vznOXIke/fmwQcN7FTb4sFf9thjeeMbs3v3Rh8HbKiK4F27BqYqJriDwWyJHspVjPDAVMUID0wJHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8C/8FdxUu2qVlAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFwUlEQVR4nO3awW4b1xWA4TOSjUipqdpKW2SR10j7EHmVAFnmabNsYZCSHAVuawuVpgsJiuM29qJ1KOH/PgwHd0WcWfzg5SWXdV0HaDjY9wDAb0fwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwEPJk3wP8P63rrOvd4uBglmXfA8ED85iCv4/5Pxczc3Awh4dzYMsCv25Zb3N5MN5t+H60+6Q/3PPNzVxezk8/zW43X301X375SSeFx+fBBf9hP/445+dzcTEXF3N2NhcX6/n2+vxsLi4P//6P5fXref163ryZ8/P5/vv59tt9jwsPzMPa0l9eznY7u92cnc1uN9vt7Lbr7uX1druevTr855uDt2/n6mquruZ28fbtcnPz3z/0f/jhN54dHoF9Bn99Pd99N3/767p7eb3brttXT66uluvrubn5+ZpZZp7MrDO/dgT3XvC3G5bl1au5vp7Dw0/6BPDI7HNLf3U1x8e3Vc/MLMvddXMzHx3q6dM5Pp6jozk+fvda//D8X3/80/L89PDPf1m++cYZHvzCnrf097XPO6fuM+syN5vNwcnvl5OT2Wzm5OTu2mzm+fM5PX3//uLFfP75zCwzT/fyIPAo7DP4ZZmvv55nz+aLL+b0dF68uLtvNsvmd8vmZJ5tZrOZZ8/u7h92+13g/p0/eqQPQfvc0q/rvHw5n302R0dzdPSRPtf156Rv/1Fzu/9/bwF8wAP6WW5d7w7q7uq9e/0iZknD/2LPwd/nfUvP8Ek9oE944FNzrgUhgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkL+DYqazjNzd415AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1dfc2e6c61284512ed691653e040b4c64f211b3aa72306051fbcc02dd65dd0b5"} +{"episode": 5980, "episode_seed": 417240929, "split": "train", "timestamp": "2025-09-15T22:45:54.441252", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 417240929, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.867148552762022, -0.27539933667941724, -41.83820660870526])", "action": "('move', [5.867148552762022, -0.27539933667941724, -41.83820660870526])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJUklEQVR4nO3dz49dZQHG8efeOyM1QItiUkoDKdBKBRKJNaYLdy5J4D8gMWENG6IbiahxYYyJ0cSdLFyYuNGVC4kbE3euTLDQKj8KLbEFimaqLZnOvS7OaYsrN3TueJ7PZ3V602TezNzvfc99z6/ZarUK0GG+7gEAu0fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUGRj3QO4tVarcWM2W+s4YG+YcvCrlc7hv0x5l36o/Z//zKVLWS7XPRrYA6Y8w//+9/ntb3PqVA4cyE9+knvuMefTbprBD2G//HJ+/OMkufPOvP9+7rkny2UWizWPDdZoyrv0X/1qNjezb18uX86lS+seDewB05zhBw8/nO3tzGZZrXL2bJLMp/z5Bv/blAs4eDD792dnJ0lOn04cnKPeNIMfwv7Up3L8+Bj8a6/lo4/WOyhYv2kGP7jtthw/Pm6fOZMrV5KPnYoDhaYc/GIxBr9Y5MyZXL267gHBuk02+OFMmyH4jY189FHOn1/viGD9Jhv84P77M5uN8Z86lVi3o9vEg7/rrtx7b7a3k+Qvf1n3aGDdJh78gQN56KFx+9VX1zoU2AMmG/yw637XXXnwwfGVV15Z43BgT5hy8MtlNjbG4OfzXLiQDz9MHJmj2GSDT8ZTbo4cSZLZLNvb9uppN+Xgh736Q4eyb192dnLt2hi8GZ5a0w/+4MEcPpwky6XgaTfl4Idr4+69N4cOja8Mh+IFT60pB59kucxnPzvO8EnefjtJ5nPNU2rKwc9muXYts9nN4Le28u67gqfXlIPP9a/xDzwwbly+PF4YL3g6VQT/4IPZvz9Jtrbyt78lgucWWS6zvb2X314TD35YtztyJJ/5TJJsb+evf03irtXcAqtV5vNsbt68YGvvmXjwN2b4Ifgkb71183X4xOzsZDbLCy/k+edz8eLN2yfusdl++sFvb2ffvnzuc+MrFy/m6tVsbu61PwT/z3Z2Mp/nlVfy05/mRz/KyZP51rdy4UJyfW7ZM++2iQd/w7Fj48bFi3nnnWQP/Qn4/zebZTbLHXfkySdz99158818//t5/PG8+OJ4v+Q9s0s5/eCHX/XDD4+PoLhwQfB80m6sFf3iF3n55Xz96zl0KH//e77znXzlK/ne9/LOO1mtslpluVzv1/ui4PftS5IPP8y5c4l1O26FnZ186Ut56aX8+td59tkcOpSLF/Ptb+eDD8YHJMznmc+zs7OuCWfKD6IYDB++x4/nttvyr39ltRpnePjkLRZZLrOzk5Mnc/Jknn46v/pV5vM8/nh2drJY5M9/TpIvfnH8/7v+tMPpBz8cIrnvvtx++/jAqeFb1caGZ0tyC9yYw5OcOJETJ3LlSpbLcYZ/7rm89lqeeCLf/GY+//nx/Tes+e3Ke3H6u/SD+fzmva7Ons0//iF1bqXFIovFmP2nP50k83lOn865c7lwIS+9lC9/Oc88k1Onxpl/t96OFcEPv8xHHx3/efZs3nsvsW7HrbZYjGt1w/Ubx4/nD3/IN76RY8eytZWf/zwnTuTZZ/OnP+Xf/0524x1ZEfzgkUfGjbffzgcfJIJnFwxH7HJ92jl8OD/4QX73u7zwQh57LFev5mc/y9e+lj/+Mbl+k6ZbqS74zc1cuTLO8LDbVqtsb+eBB/Ld7+Y3v8kPf5gjR3L33Xn00SyXu/B44+kv2uX6Z+uN58zNZnnjjcTTo9l9s1k2N8eV/KNH8/zzeeqpbG3l8OHdWUOuCH5w4EDuuy/nzmW1ypkz4+ephXrWYFjJXy6zWo0nge7WG7FojtvczCOPjN/bz5zJ5cvrHhDl5vPxuP0uTjtFwW9s5AtfGLdPnx6XRWHNdusI/PjTdu0n7QVD8BsbOX8+W1vrHg3supbghzPnh+CH3ajhwnio0hL84ODBbG7m2rXk+sNkrdhRpSX4Iew77shDD41nN3jsFIVagh/s35+jR8ftU6dcIUudluCHGf7228fg5/O8+uounMgIe0tL8Ml4heJwmsNslkuXcv584ox6mnQFn4xPoVmtslj4Gk+d2apmghvOpX399fzylzl6NI89lmPHxvteQYmi4IGii2cGw/0IPn6FMvQww0ORokU7QPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5D/t7svm6WAlQQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.867148552762022, -0.27539933667941724, -41.83820660870526])", "action": "('move', [5.867148552762022, -0.27539933667941724, -41.83820660870526])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJEElEQVR4nO3bS4id5QHG8efMxHqhSaVq1HonWCFSb6g4XqIRbKsVly5cWTdudOOiXbksuBYL3YhLEQXdKKbFemmQaDRaTGkgCdJaGcxCideikzldfKdzor1ArWcm8fn9Vpk34Zxv4Py/9/KdjMbjcYAOc2t9AcDqETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUWbfWFwCztbyc5eWMx5mfz1z9BDcaj8drfQ3wzVvp/JhjpoPjcUajGb/roUNZt27Gb/P1CZ5vlfE4wyd6ZTI/eDCvvZZt23L55bn99iwvz2yeP/x2MsO3+b9Y0nN0G/JeCW00mvx53778/vd56aXs2ZN33smBA7nhhvz0p1m/fjYxHjqU+fncf38++yy/+EU2bpxe35E025vhOfoM0/iwLT/cp59m5848/XSefz5//Ws++CBffDH5q9Eo69fnuedy+eWTNr9Jhw5lbi5/+lOuvTYHD+a883LHHbn33px66vSKj4zszfAcNQ7flq/k88EHee+9bN+ebdvy/PN5//382ynsxBOzYUM+/XQ2VzasK7773dx2W555Jm+/nV/9Kg8/nLvvzs9/nnPOOUJqjxmeI99wEJZMj9/+/vfs35/9+7NjR557Lq++OhkfjTI/n6WlyY/z89m0Keeem4WFbN2aa6/N/Pzs59pdu/LQQ3n22SwuJsnGjbnnntx5Z848M8lXDxhWneA5Qo3HWV5OMl1+HziQXbvyxhvZtSuvvJJ33pmMr1uXubl8/vnkxxNPzGWX5ZJLcumlufLK/PCH0xdMZlz7ym5hx448+mgefzyLixmNsmtXLrlkengwbAHWYtoXPEeK/xTk7t154YXs2JE9e7J3bz78cDK+bl3G48nkn2TTptxwQxYWsnlzLrgg3//+ZHxpKeNx5uZWK7FhQTKsRl5/PY89lrm5PPDA5F7wxz8mycUXT/7xqu/tBc9a+tenaINPPslLL2XbtvzhD1lczIED07BHo+ku/ZhjctVVueWWbNmSc87Jxo3TZf/Q+fz89Nx+VQ2XO8z2n32WY4+dXPrWrdmzJz/7WX75y+naYxUnfMGzBobjtyTr/nlqPB7n4MEsLubFF/PMM9m+PR99NN2NH27Dhpx8crZsyc03Z8uWnHTSl75aM4Q2Gh0ZT8FXVvjDYn7Pntx6a/bvT5L163P77bnvvlxwwTf9zOC/ETyrZNiTLy9nNJp2/skn+ctfsm9fXnwxv/td3nprMj4UuzKrH398zjor552Xa67JTTflqqu++uLDy2bWW/SvYWWjMqze3303Dz6YJ5/M3r1Jctxxueuu3HlnLrwwJ5ywCit8wTNzQ+fDLnrwt7/lzTfz1lvZuTMvv5z33puMD3P1ysPzU07JxRfnRz/KlVfm6qtz9tmT8WEjsDZr9W/E22/nkUfy5JPZvTtJ1q/PE0/kxz/O0tL0Xjgbgmf1vP56tm/Pzp3585+ze/f0XP0738mhQ9P5fPPmXHddrrgiF16YzZuzYcNkfFjhH37jOPqMx1lamtzY9u3LU0/l179Oku3bc/rpycyf2AmeGRrm4RdeyGOP5dVXs7g4eTg9mJub7OSTHHtsrr8+N92Uq6/OWWfljDOmn/wvvpis8I/izr/i8JP8vXvz0Ue57LLVObH3TTtm7re/zW9+89XB0SjHH5/TT8+NN+aWW7KwkO99b3KYPVhamnR++Jnct8Rw9xq+Nnj++cnqPZ8zwzNDKzP81q2TkRNOyA9+kE2bcuON+clPpg+kVwxz/lG8P/9fDeeNq/XbCp6Z+/jjLCzktNNy0UVZWMg110y2q4OVD2BL4WtK8Mzc8nL27cvZZ+e44yYjK8t1ka8ywbN6Pv98snv99hy/HW0Ez2pYu/8twpcIHopYWkERwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORfwAYlvey9ZyeXAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.867148552762022, -0.27539933667941724, -41.83820660870526])", "action": "('move', [5.867148552762022, -0.27539933667941724, -41.83820660870526])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "99c57a099e25ebc2f80be7b7731bd9825697160dac82172f9b414b1800271ef6"} +{"episode": 5981, "episode_seed": 3424198621, "split": "train", "timestamp": "2025-09-15T22:45:55.438359", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3424198621, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.358771100334222, 1.3773007452602233, 3.181290234227447])", "action": "('move', [-4.358771100334222, 1.3773007452602233, 3.181290234227447])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQElEQVR4nO3dXYhU9R/H8c+ZmZ1dLBW19ErLxIqtxK0UhVawmyRyWzJLMCxjjTLUC7VaYcsUpMB8iEyzUrJ8ylVXTMuoTAgs8SIK9SIJQjAiM3tSx3k4/4tz3PWh/19N/+3M+bxfFwvueHFY9j3f3/mdM2eDMAwFwEOqsw8AwL+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRpIVfKmkYrGzDwIoXwkKvlRSKqV0WoWCwrCzjwYoRwkKPpXS+vXauVOZjIKAUQ+cLwgTMAzDUEGgPXtUX68uXTRlimbOVNeuKhaVTnf2wQFlJEETPpdTnz46dkxz5+ruu7VtG7UD50hE8EEgSfX1+vJLNTUpm9XevXroIT31lI4ckcQpPRBJxJL+HFu36vnn9fXXknTDDXrlFTU2xsv+6CvgKhETvl0YKgw1erR27dLMmerRQ99/r82b45eibbxSqXOPEehESZzw0fU5SR9+qM2b1dKivn3jb0YTns08uEpi8Do9zzOZjn8GgT76SPPna+5cDR/e8U3ASUKDj0STPJrtJ07ojjt04IB69tSTT2rWLF11lXTGcgAwkOjf9XRaYRiv5GtqNGOGrr9eR49q3jzV1+uTTzpeBTwkesKfKVrAHz6slhatXasTJxQEmjJFU6dqwIDOPjjgX2ITvM5YvW/apPnztXu3JA0apLVrVVurYlGpFGf1SLZEL+nPEa3eCwU98IA2btTs2QoCVVWpWzcViwqCuHafd0D4cZrw7fJ5VVVJ0ldfKZtVXV08/L/9VjfdpGxWYjMPyWQZvKRSqWOkR23v36/6etXWauFC3XmnJBUKSqdZ5CNJXIdYdLoevdlFX7dt09Gj+uILjRypF1/Ujz8qk1GpxJ15SBLXCX++MNTKlVqwQPv2SdKwYWpuVkND/BJzHolA8Gf77jstXqxly1QsqrpaEyZoxgzdeCOn9EgGfolPC0Pl8xo4UK+9pm3bdPvtyuX05ptasUI64yM3vD+ikjHhz9b+uZq//tLs2dqxQ++/r5tvPuvzNoVCx136QEUh+PNEP5DopP3339WtW8cjtHbv1mOPqXt3FQpKpVjko+IQ/IVEtR85ouHDdfCg7r1Xzz6rESM6XgIqBzPqf2q/bheG8Ydqt29XQ4Oee06//krtqDhM+It26pQ2bVJLiw4elKS6On36qXr06OzDAi4BE/7ihKGyWY0bp127NHmyslnV1qpr184+LODSMOEv2pmbedu3a8gQXXstp/GoLAR/iSgclYwl/SVq/7wNb5SoQEx4wAgTHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4mPJ8PjvBw1QQqFTq7IP41xE87IShikXlckql7JoneHiJ/jjgzp265x7t3GnXPH9qCkai2vfu1f336/Bh9eqlt95SY2PHS4nHhIeRKOlXX9Xhw8pm9csvGjtWb78dv+Qw6gkeRsJQYaj58zV6tE6dUlWVCgU1Nemll1QoSEp+8wQPI9GE791ba9Zo4kTl86qqUjqt5mY984xOnUr+nOccHnZKJQWBcjnNnq2XX1YqpVRKhYLGj9eyZbr66iSfzxM8HEXNh6EWLdL06ZKUyahQ0KhReu899eqlUkmpJC5/CR6m2sf4qlWaNCk+pc/nNXSoNmxQv34qFpVOd/ZRXmlJfBMDLkI04SVNmKCNG3XNNcrnlc1qzx6NGqVvvlE6He/kJQnBw1c04Usl3XefNm1S//7xnD9wQA0N+vzzeJ2fJAQPd9GOXX292tp0223K55XJ6IcfNG6cWluVySRq357ggXiSDxqkDz5Qfb0KBWUy+uknPf643ngj3r1LxmYXwQOSlMmoWFS/fmprU2Nj3Pwff+jppzVnjpSUW/EIHoil0yoW1bOnVq/WpEkqFFRVpWJRL7ygqVN18qRSKRWLnX2Ul4fLcsBZoivwpZJaWjRvXnwOXypp/HgtWaLu3Sv7Ej3BA+eKmggCLVyoGTOk0xt7o0bpnXfUu3cF34pH8MDfCEOVSkqntWqVmpriu+7zeQ0bpjVr1L9/pTZP8MDfa29+61ZNmKBjx1RdrVxOtbVavVqDB6tYVCpVYdlX7LkI8H8WBPEu3ejR2rJF112nXE41Ndq/Xw0N+uyz+Fa8ypqYBA/8V0EQb92PGKG2Ng0erJMnVV2tQ4c0dqzWr4+38SuoeYIHLiBqfvBgtbZq5Ejlcqqq0tGjmjhRS5ZU2K14BA9cWNT8gAFat05jxiifVzqtEyc0bZrmzIk/VFcRc55NO+BiRVfgjx/X9OlatkzpdLyxN22aFi3q+A/lrLyPDign0R5ely5aulSzZsUr+UxGixfr0Ud1/HgF3IrHhAcuTfsYX7BAzc0dT85oaNDy5erTJ74PvzwRPHDJoqffplJauVJTp+rPP+Pm77pLK1Zo4MDyXdsTPPAPRZO8rU1PPKGff46bv+UWrVihoUPL9AlZZfkuBFSCTEb5vBob1dqqAQOUz6u6Wvv26cEHtWNHvLFfbvOU4IF/LvpTFtFtOXV18a14hw7p4Ye1bp3S6bK7RE/wwGWJnpxx663askUjR8a34v32mx55REuXlt2qnuCByxVdkO/bVxs3aswY5XLxu8DkyWppUS5XRgt7ggeugOih1z166N131dTUcWXu44/L64O0BA9cGdFD72pq9Prram6On4q5YYNqaspownNZDriS2q/AL1+uujoNGVJeE57ggSvszMLLqnYRPGCFc3jACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkP6SBLvxpikGdAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.358771100334222, 1.3773007452602233, 3.181290234227447])", "action": "('move', [-4.358771100334222, 1.3773007452602233, 3.181290234227447])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.358771100334222, 1.3773007452602233, 3.181290234227447])", "action": "('move', [-4.358771100334222, 1.3773007452602233, 3.181290234227447])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFElEQVR4nO3dfWhV9QPH8c992HW6FEwqiAQrSltpDBM0uJZGUEZaEWFB/uEDzlKhdGjWbLkmWVMZ9jBaYA9/WEJalKaUyNLKJCNLF+Qogh7+MTNS1O3ee35/nNOdM37mw+a283m//hi4q9fzx33f7/d8z/eemwiCQAA8JHv6AABcOAQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjASr+ALBeXzPX0QQO8Vo+ALBSWTSqWUyykIevpogN4oRsEnk3rnHW3frnRaiQRDPfBviSAGg2EQKJHQ7t3KZjVggObNU1WVBg5UPq9UqqcPDuhFYjTCnzihyy7T4cOqrdXEidq0idqBU8Qi+ERCkrJZ7dqlmTOVyeirr/TAA5ozRwcPSuKUHgjFYkp/ig8+0NKl+uYbSbrqKq1cqXvuiab94U/AVSxG+KIgUBDo7rvV3KyqKg0erB9/1MaN0UPhMl6h0LPHCPSgOI7w4fU5SR99pI0bVV2toUOjX4YjPIt5cBXH4PXPeJ5Od/wxkdCWLaqvV22txo3r+CXgJKbBh8KRPBzbjx3T6NH6/ntdfLEqK7VkicrKpJOmA4CBWL/WUykFQTSTLy3VwoUaNkyHDmn5cmWz+uSTjkcBD7Ee4U8WTuB/+03V1Vq3TseOKZHQvHmaP19XX93TBwdcIDbB66TZ+4YNqq/XF19I0qhRWrdO5eXK55VMclaPeIv1lP4U4ew9l9N99+ndd1VTo0RCJSUaNEj5vBKJqHafd0D4cRrhi9rbVVIiSV9+qUxGFRXR4P/ddxo+XJmMxGIe4skyeEmFQseQHrbd0qJsVuXlWr1aN90kSbmcUikm+YgT10EsPF0P3+zCn5s26dAh7dypCRP0zDP6/Xel0yoULsDOvHxeuVx3/yeA5DvC/1sQaO1arVql/fslaexYPfGEJk+OHuq2cb546pDLdWwUAroJwXd24IAaGtTYqHxe/fpp2jQtXKhrr+2mU/rwWVev1kUXadYsie1/6GYE/49wAT9czNu6VUuW6OuvJWnRIj33XMf423VFhk+5davuukuJhCortWKFBgyIzjDIHt2B4Dsrfq7m6FHV1GjrVq1frxEjOn3epism3+HY/ssvuvNO7dunkhK1t2v0aL3yisaM6XQgQBdyXbT7f8LduEGgsjK98IJ27tSIEQoCpVLavVsNDfrrL6XTyuW6ZDGvrEzZrEpL1d6uTEZ79mjCBDU06Pjx6GacQNdihP8v4Rz+4EGNG6fWVk2apEWLNH58x0Pn98SS1q3T00/rwIFonJc0dapqajR8ONv/0MUY4U+reN0uCKIP1W7erMmTtXix/vzzPEMM/3Uupwcf1Hvv6f77o9pLSvT225oyRevXR/sAeE9GV2GEP2NtbdqwQdXVam2VpIoKbdumwYPP/4nDNYFjx/Tyy3rqKR0/rkxGbW0qLdXs2aqrU1lZp41CwDljhD8zQaBMRlOnqrlZjzyiTEbl5Ro4sEueO51WPq/+/bVggbZvV0WF2tqUTKqtTQ0NmjhRe/ZEE3tuz4XzxAh/xk6+XLZ5s8aM0SWXdOFVuuLTHzmihQv1+us6cSIa6vv3V329pk+PlvfCS4fAOSD4s9TNO2OKT//WW1q2TK2tHSt5Dz2kmhpdcw17/HHuCP6cdPMpdXgRvqVFS5bo/feVSCidVnu7rrtOdXW6916JPXk4JwTfS4VT96NH9dJLWrq00/S+slLLl6u0lD15OGsE33sVN9t9/rlmz9a+fdEtPIJAY8eqsVE33ijxyX2cDV4pvVe460/SzTfrs880c6bS6ehywa5dymbV2KgTJ5RM8gXZOFME36sV79AxaJCamtTUpGHD1NamkhL9/bfmzNGMGfrpp+jCHs3jPzGl7xuCQIWCUil9+62efFIfftixknf99Xr22ejr88QpPU6L4PuS4kreiy+qujr6yE24kjd3rmpr1a8fq/c4HYLvY4orec3NevRR7d8ffblOECib1Zo1rOThdHhR9DHhSl6hoFtuUXOzZsyIPl2TyWjHDt16q159Ve3t0UoecAqC73sSCSWTKhQ0ZIhee02NjRo6VG1tymR0+LBmz9asWfr55+hj+0zgcDKm9H1bOMPfu1eLF2vLFiUS0Z0zbrhBK1Zo0iSJ6T1OQvB9Xtj80aNauVJ1ddFQH67kPfaYqqtVWkrziBB8HBRX8rZt0/z5amnpdKq/Zo1GjpQY6sE5fDyEC/WFgm67TZ9+qmnTotpLStTcrPHjtXZtdLesfL6njxU9iuBjIpmMdtoPGaI33lBjoy6/PLpuf/iwpk/XzJn69VelUuzJs8aUPobCvTd792rBAm3bFr0X5HIaOVLPP6877uj4O3BD8PEU3ifvyBHV12v58o49eQMG6PHHVVUV3Z6L5t0QfGwVV/I+/lhz5+qHH6IVu0JBy5apurpnjw49g3P42Cpuub39du3YoYcfjlbyrrhCU6ZI4kzeEcHHWTik5/O69FK9+aaamnTllVq1SqNGRTfpghum9BaKS3R//KH+/aOvrCR4QwRvhI03IHgv3CTD3Pl+7TH6FlI3xwwPMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wNkRyCOnj0pjAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIZElEQVR4nO3dX+jddR3H8ff3e36/OZtCBnMUYwhBMSWh0JtMoSTJujEQ0pBd5CgJnNVa7p8tkS1z7U+lYEVQ9tcKEVY3MvFG8ULGIiO7GPO2mQYKmz/9nfP9dPGbv00rSZG283s9HlcHzrn4novn+fz7fn+/rrVWQIb+TF8A8P8jeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAiyRIJv7Y0vgH+3RILvujpx4uSL8fhMXw2craY++NaqtXrppbrmmtq5s/75QpuZqcmkhuFMXxmcfaY++GGorqtdu+qJJ2r79nb99e3gwTYaVd8b6uGNujbNq97xuGZm6vDhuvLKOn68li+vubl617nDl75Ym7f0F66qYah+6n/T4B0z3TWMRjUMtXp17dlb73n3MDdXo1GdmOv3fa/7+CeGBx88Vfs0/6zBO2a6R/jTHT3attzefv9QPww1O1vz87VsWbv+s8N3vjtavbqqajKp0ehMXyWcUUsh+IVv0HVVVb/65bDjjjrybNf1Xd/VZFKrLmy7dnWfu6FWrKjxuEajk5+EQEsh+AWL2R87Vt/a0R54oJ14uV+2rF59tarquutq27a67LIqQz3Blk7wCxZ36f54YLj7nu7xx6uqW5jhr1xZG24dvvLV/rzzNE+opRZ8VbVWk0nNzNRzz9WPfth2fbt7+eWTq/qqdsVH244d3Sev6er1awFIsASDX7BwYldVhw/Xpk316KNVdTL7888f1q3r7rqru+CCqnJ0R5AlG3y9dk9O11Vrdd+9w86d/d+Ptb7vFm7Ce/9Fkz37R5/5dM3M2swjxVIOfkFrJ0s+cqS2bZ489HA/nnTnnFOvvFJVdfMXho0bu7UXd63VMFjYs8Qt/eAXLM7bf/Hztnt3+/PTXd93o1HNz7eL1rRNt/e33FJ9bzOPJS4l+KoahmqtRqN69mi7977au7equsVzu2uvrTvvrMsvrzptUgBLTFDwVdVajcc1O1tV9dhjbdPX2qE/9VU1M1Pjca1c2b58S9u6vV+2rMpmHktRVvALFks+caJ27659++rFF2tmtsbzVdU+8uHat7+uuqqrspnHUpMYfL3+BP7Qodq6tR55pC3eolM1fH1j3bqhX7Pm5HP1hnqWhtDgFy3u0v1g/2T/9/ujz9bMTDe0GiZ16Yfali3thhv7Ou1UH6ZaevB12nH9X56uPXuGn/6sqhZvwh9uuqm7Y3t94INdG6o603umm+CrTtvMm5+vPxxo39jUjhzt+r7ruppMas2atnFjt2HDqQ/Lnikl+FMWp/cvvFB37hh+/JN+bu7kBn5VXX117d1bl15aZTOPqSX41zl9M+/gwdq6eXjqUF+v3YR/7vLhjm9269fXypXdZFJdZzOPKSP4/2xh3j43V3ffXfffX8eO1bJlNT9frbWPXdG2bes/dW2VR+uZNoL/rxaP6598su65pz38cC3embf8nLb+5mHrttF732dJzzQR/JtZ3Mw7frx+8+u2ZUv7x/N93y/8Mfx28dru9s21bp3n6pka1qBvputqdrbG41qxom5e3z31VPf5G1vXDa3V8uXdX5+pAweqXjvYg7OfEf5/svD/bRZm+L/77bBjR/fM37pVq+rgwbrkklNvwVlO8G/B4tT9+edr+/Zau7Zuu80anmki+Lfs9Kfo1M50MRN9yxY27cZjtTN9jPBvn+CZOkb4t0/tTB3BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5B/AVWREshp2LVxAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fa4437eec3901285add4d7106cdc5c3aa6e21913aebb348c63ebb21e08352d04"} +{"episode": 5982, "episode_seed": 441726616, "split": "train", "timestamp": "2025-09-15T22:45:56.089477", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 441726616, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [28.826035741005956, -20.71848145495223, -25.607268278109814])", "action": "('move', [28.826035741005956, -20.71848145495223, -25.607268278109814])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [28.826035741005956, -20.71848145495223, -25.607268278109814])", "action": "('move', [28.826035741005956, -20.71848145495223, -25.607268278109814])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK6UlEQVR4nO3dT4jcd/3H8dfMzi7BRMvaViJirIhN1DYtiUnUg4rWgLRUtBdPoniy4M0/eBFEEKQHkXgqgj2JgrHgQSgevIQ2tdomFLVJbaRxNYSapsgaNs3MfD18v+bfL1lXf9nMzrwfj9Psd0Pmc5jnfj7fz3fmO72maQLU0J/0AICbR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBD+DmiZNM+lBsCEJfgb1ehmP8/rrGY0mPRQ2GMHPoOXlzM1lYSFzc5MeChtMr7H4myFNkwsX8vDDef31bN+e/fuzZ0/G4/T9YSdJMpj0ALhh2rCPH8/Pf56zZ5NkZSV79mQ4zMLCpAfHxiD42dEG/9xzOX8+8/NZWMj27UlM71zitTA7xuMkOXo0587lwoUsLmbXriTp9SY7LjYQwc+IpslgkOEwx493R26/PXfe6QSeK3gtzIg27KWlvPxyd+Td785gkNHIDM8lgp8R7cWWP/0pJ04kydxcPvCBxAk8V/JymBFt8C++mOXl9PtZWMjevYkTeK4k+FnQnsA3Tf7whyQZj7N5c3bvTszwXMnLYUb0ejlzJr//fffj+96XTZu8o56rCX4WtBfkTp/OkSPdGv5DH5rsiNigBD87lpZy9mwGgyTdjh1cRfCzoP2QzNGjl7bo2rfcwFUEP/XaE/WVlTzzTPfhmbvvzuJiYoue/0PwM+Kf/8zhw13h+/Zl06ZJD4gNSfAz4vTpLC1lMEivl337Mjdni55rEPzUa2f13/62e9A0ueuu7gFcRfAz4qmnuhP4bduydeukR8NGJfgZ8eST3YNdu3LbbYkdO65F8LPgzJm8+GL3LtqdO7NlS/dWHLiK4Kdbe6L+1FO5cKE78p73JMl4bIbnGgQ/3dqZ/JlnMhxmPM5tt+Wd70ys57kOwU+3doY/fLj78c47Bc9qBD/F2k/FnjuXP/+5O/Kud+X2293lhusS/BRrp/ejR7ubUifZsSO9nuC5LsFPsfYE/tln89prSfLGN+buuxM3veD6vDSm2MX7Ug+HSbJ1axe86Z3rEfy0aprMz+f8+bz0UnfkLW/Jtm0ZDs3wXJeXxrRqr7SfOJG//KU7ctdd6ffTNGZ4rkvw06rdsXvhhS74+fns2ZM4gWdVXh3Tqg3+2LGsrCTJ5s3Zty9xAs+qBD+VLn6x1LFj3ZFbbsmOHWkaMzyr8eqYSu2J+unT3Y3ok+zc2d2aHlYh+KnUhv3Xv14Kvr0vtfU8qxP8FHv55SwvZ34+cSN61kbwU6m9Zd2RI0kyHmfTJm+5YU0EP33a9fzycn73uyQZjbJ7d7ZsmeygmA6Cn1b/+Ed+85tuSt+7t1vYw+oEP63aL5ZaWEjSXYG3Rc9/JPjp087q7fTefhLWfalZI8FPpabJ4cNpmgyHee97c+utiR071kDwU2k8zpNPdoXv2pU3v3nSA2JKCH4qLS3l5MnuS2PvuScLC25Ty5oIfsq0N71ovzeyPWnfsePScVjdYNID4H/x619nNEqSt70t27YlTuBZGzP8VNqyJdu3Z3Ex996bd7wjETxr02tczJlOo1EOHcrCQj74wSRudMOaCH4qjUbp9xXOf03w06ppuo26dq8e1kLwUIhNOyhE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB42gOEw4/FNeJ5e0zQ34WmAa2sD7PVuzrOZ4WGier30evn2t/OrXyXJaLSuzyZ4mJyVlTz2WPbuzTe/mePHk6z3wn6wrv87cMl4nNEog0GaJv1+Dh7Mt76V559Pkje8IVu3Juu+thc8rL+m6VLv97vH/X6eeCLPP59Nm/KJT+QLX8iDDybJYH2TFDyss/E4vV4Gg/z97/nFL/L5z2duLkm++tUMBvn4x/PQQ8m/d+/WmV16WB9Nc2l9fu5cDhzIT3+a557Lz36Whx664rfjccbj9Z7bW2Z4WB9tz8vLefTRPPpojh1Lkn4/Tz/dBd8ajTI3d3NqjxkebqSL8/Z4nFdeyeOP55FHcuJEkrzpTfnoR/ONb2TPnm5JnytXATeF4OFGaJoMh5mf76bu0Sif/WwOHkySxcV87GP58pfzkY9MdoyxpIcboF2Wz89nZSXz80kyGOTDH86hQ9m/P5/7XO67r/tn/f5NntKvYoaH/9XlC/JXXsn3v59Dh3LwYG69NUnOns1LL+X970/+/f65iyv5yRE8/P+8+mq+9738+Mfdufp3v5uvfe3S34KLV+A3ho0yDpg+p07lscdy4EBOnUqSxcU88EDuvz9Jer00Tcbj9Psbp/aY4WGt2qvlc3Pp9bKykh/+MN/5Tpf61q2577585Su5555Jj/I/2EB/e2CDuvyNsUnG45w/nyeeyKlTeetb88AD+eIXs29f96v+hv5Amhkeru/yD6v/8Y85ciSf+Uzm59Pv59Ch/PKX+dSnutSHw/T7G7z2CB6u7fK5emkpjzySxx/P3/6Wp5/O7t3d+Xm7675hduDXwpIerqWt/eTJHDiQH/0oZ84kyebNeeGF7N6dXi9zc5e25SZ6af2/Ini4UvueuePH85Of5Ac/yGuvJcnb357778/Xv5477rji8vuUTOwXWdLDZdqYz5zJ/v159tkkueOOPPhgvvSl7Ngx6cHdAGZ4uEyvl9Eot9yST34yJ0/m4Yfz6U/n3nuTZDjsrslNMzM8XKmd5F99NUtL2bkzSS5cyNzcxt+BXwvBw/WNx2maqTtRX4UlPVxL03S3mpwtZngoZNb+gAGrEDwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMi/AFAQhUmH5clMAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK6UlEQVR4nO3dT4jcd/3H8dfMzi7BRMvaViJirIhN1DYtiUnUg4rWgLRUtBdPoniy4M0/eBFEEKQHkXgqgj2JgrHgQSgevIQ2tdomFLVJbaRxNYSapsgaNs3MfD18v+bfL1lXf9nMzrwfj9Psd0Pmc5jnfj7fz3fmO72maQLU0J/0AICbR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBD+DmiZNM+lBsCEJfgb1ehmP8/rrGY0mPRQ2GMHPoOXlzM1lYSFzc5MeChtMr7H4myFNkwsX8vDDef31bN+e/fuzZ0/G4/T9YSdJMpj0ALhh2rCPH8/Pf56zZ5NkZSV79mQ4zMLCpAfHxiD42dEG/9xzOX8+8/NZWMj27UlM71zitTA7xuMkOXo0587lwoUsLmbXriTp9SY7LjYQwc+IpslgkOEwx493R26/PXfe6QSeK3gtzIg27KWlvPxyd+Td785gkNHIDM8lgp8R7cWWP/0pJ04kydxcPvCBxAk8V/JymBFt8C++mOXl9PtZWMjevYkTeK4k+FnQnsA3Tf7whyQZj7N5c3bvTszwXMnLYUb0ejlzJr//fffj+96XTZu8o56rCX4WtBfkTp/OkSPdGv5DH5rsiNigBD87lpZy9mwGgyTdjh1cRfCzoP2QzNGjl7bo2rfcwFUEP/XaE/WVlTzzTPfhmbvvzuJiYoue/0PwM+Kf/8zhw13h+/Zl06ZJD4gNSfAz4vTpLC1lMEivl337Mjdni55rEPzUa2f13/62e9A0ueuu7gFcRfAz4qmnuhP4bduydeukR8NGJfgZ8eST3YNdu3LbbYkdO65F8LPgzJm8+GL3LtqdO7NlS/dWHLiK4Kdbe6L+1FO5cKE78p73JMl4bIbnGgQ/3dqZ/JlnMhxmPM5tt+Wd70ys57kOwU+3doY/fLj78c47Bc9qBD/F2k/FnjuXP/+5O/Kud+X2293lhusS/BRrp/ejR7ubUifZsSO9nuC5LsFPsfYE/tln89prSfLGN+buuxM3veD6vDSm2MX7Ug+HSbJ1axe86Z3rEfy0aprMz+f8+bz0UnfkLW/Jtm0ZDs3wXJeXxrRqr7SfOJG//KU7ctdd6ffTNGZ4rkvw06rdsXvhhS74+fns2ZM4gWdVXh3Tqg3+2LGsrCTJ5s3Zty9xAs+qBD+VLn6x1LFj3ZFbbsmOHWkaMzyr8eqYSu2J+unT3Y3ok+zc2d2aHlYh+KnUhv3Xv14Kvr0vtfU8qxP8FHv55SwvZ34+cSN61kbwU6m9Zd2RI0kyHmfTJm+5YU0EP33a9fzycn73uyQZjbJ7d7ZsmeygmA6Cn1b/+Ed+85tuSt+7t1vYw+oEP63aL5ZaWEjSXYG3Rc9/JPjp087q7fTefhLWfalZI8FPpabJ4cNpmgyHee97c+utiR071kDwU2k8zpNPdoXv2pU3v3nSA2JKCH4qLS3l5MnuS2PvuScLC25Ty5oIfsq0N71ovzeyPWnfsePScVjdYNID4H/x619nNEqSt70t27YlTuBZGzP8VNqyJdu3Z3Ex996bd7wjETxr02tczJlOo1EOHcrCQj74wSRudMOaCH4qjUbp9xXOf03w06ppuo26dq8e1kLwUIhNOyhE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB42gOEw4/FNeJ5e0zQ34WmAa2sD7PVuzrOZ4WGier30evn2t/OrXyXJaLSuzyZ4mJyVlTz2WPbuzTe/mePHk6z3wn6wrv87cMl4nNEog0GaJv1+Dh7Mt76V559Pkje8IVu3Juu+thc8rL+m6VLv97vH/X6eeCLPP59Nm/KJT+QLX8iDDybJYH2TFDyss/E4vV4Gg/z97/nFL/L5z2duLkm++tUMBvn4x/PQQ8m/d+/WmV16WB9Nc2l9fu5cDhzIT3+a557Lz36Whx664rfjccbj9Z7bW2Z4WB9tz8vLefTRPPpojh1Lkn4/Tz/dBd8ajTI3d3NqjxkebqSL8/Z4nFdeyeOP55FHcuJEkrzpTfnoR/ONb2TPnm5JnytXATeF4OFGaJoMh5mf76bu0Sif/WwOHkySxcV87GP58pfzkY9MdoyxpIcboF2Wz89nZSXz80kyGOTDH86hQ9m/P5/7XO67r/tn/f5NntKvYoaH/9XlC/JXXsn3v59Dh3LwYG69NUnOns1LL+X970/+/f65iyv5yRE8/P+8+mq+9738+Mfdufp3v5uvfe3S34KLV+A3ho0yDpg+p07lscdy4EBOnUqSxcU88EDuvz9Jer00Tcbj9Psbp/aY4WGt2qvlc3Pp9bKykh/+MN/5Tpf61q2577585Su5555Jj/I/2EB/e2CDuvyNsUnG45w/nyeeyKlTeetb88AD+eIXs29f96v+hv5Amhkeru/yD6v/8Y85ciSf+Uzm59Pv59Ch/PKX+dSnutSHw/T7G7z2CB6u7fK5emkpjzySxx/P3/6Wp5/O7t3d+Xm7675hduDXwpIerqWt/eTJHDiQH/0oZ84kyebNeeGF7N6dXi9zc5e25SZ6af2/Ini4UvueuePH85Of5Ac/yGuvJcnb357778/Xv5477rji8vuUTOwXWdLDZdqYz5zJ/v159tkkueOOPPhgvvSl7Ngx6cHdAGZ4uEyvl9Eot9yST34yJ0/m4Yfz6U/n3nuTZDjsrslNMzM8XKmd5F99NUtL2bkzSS5cyNzcxt+BXwvBw/WNx2maqTtRX4UlPVxL03S3mpwtZngoZNb+gAGrEDwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMi/AFAQhUmH5clMAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [28.826035741005956, -20.71848145495223, -25.607268278109814])", "action": "('move', [28.826035741005956, -20.71848145495223, -25.607268278109814])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "167ddc712a4bfc8a766649ecdec21dfbcf78681ed0078cbc1456ad0fc72ae226"} +{"episode": 5983, "episode_seed": 3704543908, "split": "train", "timestamp": "2025-09-15T22:45:56.725113", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3704543908, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.912471505960639, -7.6876876396579545, 21.652936062189525])", "action": "('move', [-14.912471505960639, -7.6876876396579545, 21.652936062189525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.912471505960639, -7.6876876396579545, 21.652936062189525])", "action": "('move', [-14.912471505960639, -7.6876876396579545, 21.652936062189525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3dfWiVZQPH8d95m9NFiL1BgnEQNDC0JpZZIgmuxBoOQd0oMZq9GKgFaSUUBEVFmX/4gmTbYmKul+m0GExMyLD+iV5QhMBVhIUaw5e1rXPOfc7zx30z3ZMPTwZ6Xn7fz3+Dc9gNZ99d13Vf932fWKFQEAAP8WIfAICrh+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHpKUz6tQUKFQ7OPAFUbwUBAoHlcsJonmKxzBuysUlEiop0ebNkXN5/PFPiZcMcliHwCKqVBQLKZvv1Vjo/r6dOqUXnpJyaTyecUZCypRrMAczlU+r1hMJ06ork7HjqmqSpmMli/Xpk2qqaH5ysRH6ivs+frr1dAgSZmMUim1tamhQSdPKh5nbl+BGOEhSdu26dlnNTCgVErZrKZNU0eHJk9WLqdEIlrbowIQPCJ79+rJJ/X771Hzt9yi9nbNnk3zFYUpPVQoKAhUX69PPtHkycpmlUrpl1+0aJE6OqJzeIwLlYHgoVhMiYRyOd19t/bu1cyZymaVTOr0aT32mDZsiEZ4mq8ATOlxQS6nZFJ//KHmZnV1Reft4nGtWaO335bEqfuyR/AYIUw6k9GaNdq6VfF4dMnt0qXavl01NQoCJRLFPkr8W/y7xgjhqF5VpS1b9OqrSqWiCf+uXVq4UCdORJN/lClGeFxC+EcRi6mtTatW6fz56NR9ba1aWzV1KuN8uSJ4XFqhoHxeiYS6u/Xoozp5Mmo+nda2bZo3L7osF+WFKT0uLRZTPK4g0Pz5+uyzC9t1P/2kxYvV1sbddWWJ4PE/DW/XTZ+u7m7Nnq1sVlVVOnNGzc167bVokOcK3DJC8Pg/kkkFgdJp7dmjJUuUyaiqSkGg9eu1erUGB6OJAMoCa3j8I+F2XTar55/Xhg1KJqPr8xYv1pYtuu46tujLA8Hjnwpvp43F9NZbWrtWhUJ0Gm/OHLW2Kp2m+TJA8LgM4UU48bh27NATT2hgILqLfsoUtbZqxgyaL3V8OLgM4QgfBHr4Ye3erfHjlcmoulpHj2rhQu3bF63nGURKFsHj8gxv19XVad8+3X67hoZUXa3fftOSJXr3XSUS3F1Xuggely3crgsC3XGH9uxRXZ2GhlRVpcFBPf64XnklegYu23UliDU8/r1wxX7mjFatUnu7Eono+rynntKGDaqu5mq8ksMIX/JK+Asiwjttxo7V9u167jkFgfJ5pVLaulVNTTp9mnG+5DDCl4lwWTz8fRGlZHi77p13tHatcjlVV2toSLNmqaUlejBekuehlwZG+JIU/hf+/nu9/rp6ezUwoHi8ZJ8sF+7D5fN65hm9/77GjdPQkEaN0uHDevBBffmlkknlciU7TfHCCF+qcjk1Nurjj3XNNaqrU329ams1aZJGjYpecPEXRJWGcEl/8KBWrNDx49EW/bhx2r5dDQ0leLyOGOFLVT6vdFrptPr71dmp5cs1f77ee09S9ACKcMAvpV3vcEl/333q6tJddymTUTKpvj41Nmrr1uiUXskcrCmCL1VVVXrzTXV1qa1NTU0aM0YnTlx4MIWkgwfV3z9inl8CPYVb9FOmqLNTDz0Urd6zWT39tF5+ORrhi32M1pjSl7DhTa3BQR0/rqNHNW+exo2TpOPHNX26brxRc+dq2TLNnFlSV7SGnff3a/VqtbQoFouyX7FCGzdqzBi264qG4EtYuKktjXiaVLhQbmnRypX66y9JSiZ1661aulQNDZowQTU1F55NEb64GG2Fv7lQ0Pr1euONaLsum1VdnTo6NHYszRcHwZeD4XtWhgWBvvhCH32kw4d17JgyGUmKxTR3rjZu1G23XXjoXHh+PJm8+nkNJ715s154QefPS9LMmdq9WzfdFB0vrjKCL3Pnzqm7W59/rq+/1g8/6NprdeiQpk5VPq8//9SPP2r69OiVuZzi8as/8w+H+q4uNTdr7FgdOKAJE7iprmgIvmzl8woCpVLRj7292r9fo0frkUeioXPXLq1bpzlzNGeO6ut1ww3FOtJwtnHokGpqVFtL7cVE8GUufO6M9N/XsmUyWrRIn34a/Thpku68U01NmjdvxCsvPu1/JQ1fbEftxUXwleLia2/Dz/TXX9XZqQ8+0JEjGhiQpERC6bQaG/XiiyNubcnlorter2T5QRD9EhQRwRv47jvt3KmeHv38s86e1YIF+vBDjR6tWEx9fQqCaLZfKERfDU2UlYvgK9rFM/Z8Xj09am/XsmW6//7oFMC6dfrmGzU1qbZWM2ZE7yrS6T1cBQRvIFznX9xwuJI+ckSzZkXbZTffrHvu0b33asECTZwYvYt9s4pD8DaGT+8Nr9XPndOBA9q7V3v26OzZ6GUTJ2raNK1YoQceoPnKQ/D2slmdOqX9+7Vjh776Kjq9t3mzVq4k+MpD8Mb+fgFfb6927tS+fers1PjxBF95CB4s143w5CFoxA22f79dBxWEER4wwl4rYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5D31QCfgBSHzAAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.912471505960639, -7.6876876396579545, 21.652936062189525])", "action": "('move', [-14.912471505960639, -7.6876876396579545, 21.652936062189525])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "f7287b4b7642f4dbd1e9e8b116f17ed08595a501f86ff04e7c4c4c4e0b4ed31c"} +{"episode": 5984, "episode_seed": 3012950908, "split": "train", "timestamp": "2025-09-15T22:45:57.719629", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3012950908, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.350506167254713, -11.459263768563687, -10.12802003132623])", "action": "('move', [-8.350506167254713, -11.459263768563687, -10.12802003132623])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.350506167254713, -11.459263768563687, -10.12802003132623])", "action": "('move', [-8.350506167254713, -11.459263768563687, -10.12802003132623])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.350506167254713, -11.459263768563687, -10.12802003132623])", "action": "('move', [-8.350506167254713, -11.459263768563687, -10.12802003132623])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIVUlEQVR4nO3cT4xdZR3H4d85dzo0RAIEQsC6wARWYiPIQg1/NoW1WAvRRReaptoSUwMGgUKwNtggGqUNGrBsiBIqbeNGNLIoMSyAtBITElgQNJi0hLqBBNqZe8/r4k7HYjSKFmfa7/Msb2ZxMpnP/M77nvfcrrVWQIZ+qS8A+P8RPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQR/IeutRqPq7Wlvg6o6pq/xA/TMFTvnyrLhj/GD0trNZlU39fx47V3b83NLXwIS0jwp15r1Vp1XY1G9ZunhxvWDOvX1zPPVFV13VJfHNnc0p9KrdUw1GhUVfWn12vr1rZ/f737XldVl19eBw/WOecs8RUSzoQ/Zcbjhan+5pH2wANt9RXDz3/RvXes67qqam+/XQcPVlUNwxJfJ8lM+FNgug+/YkXNz9e+fbXj/uGlP3ZV3YrZmp+rs2bb2i+0b9/ZfXK1G3qWmOD/V4v78AcO1M6dtW9fVdXs7HSXrt2wpjZtqs/f1JUde5YBwf+Xpr+26Sbc4cO1fduw56n+6NGamanJpFqrVZcMW+/tb7mlzj+/JpOqWljbwxKaWeoLOC1NJgv1zs3VT38y/PAH9ec3uqoajRbu7Tdvrttv71atqqoaz9doxv48y4IJ/8EMQ7VWo1HNz9fvn2133tVeeLGvqpkVNZ6v2dm6/vrasaOuuqrqxPM5t/EsH4L/AObna8WKqqqX/jDs3NU/9thQ1c/M1HhcVcOVV3ZbtrT16xf6nj6Kh2VF8P+RxQfsR47UI4+0XQ+1t/7azcx0VTUet49eUhs3ts239hdcUMNQXSd1linB/xsnD+rdu+vhh+vQoapaeAhX1b62sW3c2H3qymn8NWNXhGVM8P/SybP6+edr69Y6cKDG44XlelV97jPD9vv7665b2Kvre8t1ljvB/xPT916ms/ovb9SO70127+6PzXWj0cIDto+tGu6+u//KV2t2tuqkTXtY5gT/jyaT6rrq+zp6tH65Z9i2rTvyZtf31XU1mdRFF9W6dXXffXXhhVXvfxoPy58V5/ss7sP/av/wox93B56tqu7Ecn1Yu7bfsqWuuabqxLE5qXN6MeEXLG7OHTrUHnyw9jzZJkM/O1tz81VtuPrq7lu3tS/e3Pd9zc/XjIM0nJ7Sgz/5bMw779T27fX44+3w4W76yTDUeee1e++pL325u/jiKst1TnPRwS/We/xYe2pvd8899frrVVWjUU0mbeXKunndcN+20ccvraoaj2s0Mtg5vYUGv/hCa1U991x99zuT3/6uP2m5Xtd+dnLvtn7Nmm7x56XOGSAx+MXB/vLL9eijw66d3WT4e+qrV9eGDXXrrVXTTfiulM4ZIy74ae3vvlu7Hpo88rP+tdeq77u+r/G4PnL25BtbRhs21KWXLnwvjYM0nGGCgl+8Ld/71PDA9+uFF7qq7sSxueHmdd0dd9RVn+6q7MNzxkoJflr7K6/UXXfV079ux453J95ya1d8ou3Y0a25oTvrLIOdM1zKwZvpuN6zp/bvr9Fo4S23Vatq89fbN2/rV66sKi+6ceZLmfDTg3FvvVXXXluvvlrnnltrb5rceffossuqbMITIyX4OlH1k0/WE0+0TZu6G2+scpCGMFnBV9WxY9VanX22F1pJFBT8yXxTBZnigvdCK8nixpzUSWYJC0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+Bvn5/lEC7jWGAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b8f5c5be1d4568bb6e03dc2d6a4657957eb4f4f8697adf0d033dfec80e27b8e0"} +{"episode": 5985, "episode_seed": 1733955263, "split": "train", "timestamp": "2025-09-15T22:45:58.367700", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1733955263, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5359228630832897, -20.660055416889225, -57.96989125155509])", "action": "('move', [1.5359228630832897, -20.660055416889225, -57.96989125155509])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5359228630832897, -20.660055416889225, -57.96989125155509])", "action": "('move', [1.5359228630832897, -20.660055416889225, -57.96989125155509])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5359228630832897, -20.660055416889225, -57.96989125155509])", "action": "('move', [1.5359228630832897, -20.660055416889225, -57.96989125155509])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKdUlEQVR4nO3d728UdQLH8c/Mdgu1XhCtYlHig0KrouGXBQXbSCwQLGouxB/xgfGpyZl7eE/8A3x+OR/oExPjE2I8D0gE2gDSag+oLVFBfnvUQA/bPTQKKrs7cw9m7ALS0nJ33c593q9nO12a2ZT3fr8z+53ZII5jAfAQVnsHAEwfggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBT6s4Vrlc7Z2AsSCO42rvg504VhwrCBQE1d4VmGGEnyZRJEknT2r7dgWBwvCq2qNIvPFiGhD8NAlDSXrvPT3/vJqb9cor+uADFQoqldKfJv2XSsSP/yGm9NMhmcCPjuqpp9TfX+m5rk5r16qzU48/rsZG3Xln5fmlksLw2okA8B8i+OkQRQpDnT6tlStVKKQb83mVy+lUX9KqVero0MqVamlRS0u6kfLx30Xw0+fSJfX06NAh9ferr09nz6bb8/k07ERLix55RCtWaNUqPfpoeiwgqVxOD/6Bm0bwVfDLLzp+XMeOad8+7dqlY8fS7bmcpMrndo2NamrS0qVat05PPqn6+qt+ydjfjZEfk0fw06pUUhwrn08fRpFGRzU0pO5ubd2qgwcr4/yV6ut1xx1avlydndqwQffcc9U4n7xBMOfHZBB8FcRxeuieDOmJKNLwsHbu1LZtGhzU6KguXrzOv62t1bJleuYZrVun++5TQ0Ml/mIxnfMz7cd4CL6axpuWX7yoPXvU1aWBAZ0+GZ/7ZzLu58Ocgivm/Pffr44OtberpUWLFqmuLt1O+RgPwc8syeA/NvLHsf7er/2H9dmg+nfq6K9H+zU1CkNdvpw+bGzU6tVqbdXy5Wpt1W23pduTM/ws6cMYgp+JkuyjUlRTGwYj/9DubRq6dPz3f/rqKx08oN271deXPjMMlcupWEwfzp2rlhY99JDa2tTRofnzr/214iSfN4KfwYrFuCYf/fkv0R//UJOfFVwcUf53kkZHde6cPvlE27fr448rh/pBUDlGmD1b8+Zp4UJt2KDOTj34YJVeAmYYgp/BymXlctq7V5s3x/+6EP/1b9Gmp2vCaOzQvFTS99+rp0dbt2rvXo2O6ocfrvNrZs1SU5M2btSmTVq8WHPmqLZ2Wl8HZg6Cn8GSP83PP6u9Xf39evVVvfmmSqU4VxPH1zkh19Ojjz5SX5++/lpnzlS253KV83zz5mn9er38sjo6puUlYIapqfYOYHxBoGJRdXVaulQDAzpwQOWywvCak3Bj79htbWprk6TDh9XTowMH9PnnGhxMaw8C5fMaHdW77+reewneFCP8zJbM6rds0QsvSFJvr9asSTf+RhQpihQElR8ODenLLzU4qJ4e7dunn35Ktx86pCVL0kt6YIXgZ7YkyvPn9cYbWrlS69fr9tuliU61p2f4IwWBan6dwH33nc6e1Rdf6MMP9e232rJFDQ0E74jgM2Ksziia5Hqa5L46ydOvXI1XLmvWLFI3RfAWuKkWEqy9zI5iUfv3a2ioshZ/0n57Uy14IviMKJf1+ut69lm9/fZVK2yAqSD4jAgCjYzo/Hnt368LF5TLTXWQB0Tw2ZCss3nxRQWBBgZ08mS6EZgigs+CpO1Fi3TXXSoUdOSIxEUwuBkEnwVJ2/Pmqb1dQaCeHhWLXOyOm8B/miwIAkWRbrlFa9YojtXdrQsXJGb1mDKCz4jkFN2SJaqv15kzlRtfAlNB8BmRTOCbm7V4sSTt2SNxGI8pY6VdRozdreadd1Qo6KWX1NhY7X1C9hB8Zo1zzRwwAab0WTP2FfPUjqkj+KxJrnc/cUJdXRIn6jE1BJ8pyRfTvPWWnnhCr72mH3+UaB5TQPCZkpyWX7BAw8M6fVq9velH9MDkEHymhKHiWGvXqqlJxaK6u6UrvokGuBGCz5RkPJ89W62tktTfr8uXlcsxq8ckEXzWJCtwNm6UpFOndOQIl8pi8gg+a5LD+I4O1dZqeFgHD0oieEwSwWfT3XfrsccURfr00/Q+lczqMQkEn01BoPXrFccaGVGhwGE8JolvnsmszZsVhurs1Ny5EhfSYFJYSw8YYUqfWVFU+V54YHIIPrOSRfWFgt5/X4WCxBpb3BjBZ1Py3XHHjmnVKj33nHp7q71DyAaCz7L589XcLEldXelbADAhgs+mMFS5rDlz0jW2O3bo8uVq7xMygOAzK4oUx1q2THV1OnVKR49KHMbjBgg+s3I5BYFWrNDChQoC7dhR7R1CBhB8ZoWhSiUtWKAHHlAca9cuiREeN0DwWZbkvXq1amv12Wf65hsW1WNiBJ9lyX0s165Vuax8XidOSAzymAhLa7OvWNSOHWpo0MMP69ZbFcd8PofxEDxghKvl/i8kt7ULQ8Z2TIwRHjDCSTvACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wZecYuNQvblTwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIR0lEQVR4nO3cQY9V5R3H8f9zLmKMjkqirRXrAqHUKlUgatWF0qoU23TpC/Dl+G5MYwGLYBNjDIKoDdogtNaNAtVIotQ4c8/p4kzTlTAzJp17/H0+q5m7Oov5zvk/9znnacMwFJCh2+wLAP5/BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9Btmz2BXAdfV/DUK1V558z31sbhmGzr4E1GbOH78MdfqENQ128WB99VJ9+Wi+8sNlXw/S5wy+ovq+uq5dfrpdeqrfeqr6vS5fqzjs3+7KYOOvCBdX3VVWXL9ebbw6t1datdezY/z6HjRH8ghqX608+WTt2tL6vb7+tI6/Mq2oQPN+D4BdU19Uw1M6dtWdPjauuk6dm83l1s7IIY8MEv6Baq+XluuGG2vvwvGqoqs8u1htvVGuCZ+MEv7jGjfdfPTG7/faqqi+/HE681lfVyspmXhWTJvjFNU71TzxeP7133H9vp063vq8t9lLZKMEvrq6rlZVaWqoH71+d6s+da+fOVdfVfL7ZF8c0CX6hjTf5Z57ttm5tVXX+Qp06VWVzjo0S/ELrumqtnnm23XLL6td177xTw+C5ejbIH85Ca636vu69t3bt+u/m3Mm6fLlmNufYEMFPwDDUoUNVVV1XZ87ML5wfylTPhgh+0bVWrdXzz1dVzWZ19Wr33vurn8N6CX7RjWE/8EDd85P58nJVtePH2zf/Xv0+D9ZF8NNw00118NBsvNv/5fj888+1zkYIfgLGoy9+e6iGYdi6tS593p39wEDPRgh+AsbR/eGHhluXhuWVatWOvlplGc/6CX4CxrB/9OP2+OOtn9dQdfiPc9/SswGCn4BxN35pqZ4+0KpqNqtzF7pz56rK93asj+Cnoe+rtdr7cD+b9cNQ83k7erSGQfCsj+CnYXyW9v5fdHv2dOMwf/iwNTzrJvhp6Lrq+7rnntq7d/WT99+vL75wHgbrI/jJWFmprqv9+1d/vXKlTpxYXd7DGgl+MmazqqrHHqu7766qunp1OP7nlSrvxrMOgp+Mcarft6923jcO8e29v24Zz70z1bNGgp+M1lan+n0P9eMBOOfP19tvm+pZB8FPyTjV//q52c03t6q6eGl4+62+TPWsmeCnZHxD7qmnatu21an+9LttPnesJWsl+ClprYa+br219v5ydYg/c6Z98oljLVkrwU9Nq2GoQ7+fVVU3q7Nn5x+e7csztqyN4CdmfCX+4MG6YcvQqoZhduqdzrGWrJE/k4kZH6fdsaPu/3k/jvGvv15XrjgAhzUR/FT97g+zqprN6uTJunixylTPGgh+esawDz5XVTWb1ddf1+nTVc7DYA0EP1W7d9f27bW8XK3V4cOr78/CtQl+qrZtqwMHVn8+dmTl6lUDPdcn+OkZn6W98cY68PQwDMOWLfXZv7a8+24ry3iuR/CTNIb94IO1tDTM59Wq/vRK7wAcrkvwkzTuuu+4r+3f3/V9DVVHjwzjFj1cg+AnqbWaz+uOO+qRR4bx13/8c3bh796c4zoEP1Vj2Pv2rh5r+dVX9eqRYRgEz7UIfqrGV2UffWy262ddVS0vDyde6430XJvgp2p8Q27Hjtq9s68aWmt/Oz+7cqVmMzd5vpPgJ2wM+9FHh9baMNSHH9SxY5bxXIvgJ2yc6g/8ZnbbbXXXXfXii7VrV1V5c47v1AZbtxP3zTf18ce1fXstLW32pbDwBA9BDH8/BP5ps0aC/yGwG8caCR6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AeXSp46CXTjYAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "18d3eee55d901008edf01b5a67598434708b89b104b760e4aaaf5123f799a6d8"} +{"episode": 5986, "episode_seed": 3824581907, "split": "train", "timestamp": "2025-09-15T22:45:59.014689", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3824581907, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.2533752054263343, 7.822527255172441, 7.492623290441922])", "action": "('move', [2.2533752054263343, 7.822527255172441, 7.492623290441922])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.2533752054263343, 7.822527255172441, 7.492623290441922])", "action": "('move', [2.2533752054263343, 7.822527255172441, 7.492623290441922])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALWklEQVR4nO3dXYgV5QPH8d+ZM7tqVmZhelHkGhFd6BIFUWgGCSGZ0oWVumm+ZGq0SGg3WRpp1MVqllQYKakphW4aUlrgQpEibEFsmBbSi9gLrIovtLvumTP/i5m/Qdib7pk5u7/v53LZi2F3vud55pnnzBTiOBYAD0HeBwAgOwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwTfG8Sx4jjvg0BfQPBVL45VKKhQULmc96Gg1yP46pbU3t6uri4F/LNwsTiHqli5rCjSqVO6/37NnKmDByUxt8fFIPgqFscKQ73xhvbt05YtamtLfwhcqELMCVSdokjFor76SuPGqb1dU6Zo8+a8jwm9HiN8VYpjBYFOntTy5Wpv17BhWr48/TlwEQi+WhUK+uQTbd0qSc8/rxEjVC6rUMj7sNC7hXkfAP7azTdrwgRdfrmmTGFsR4/gGr76xHE6mAeBoki//67LLkvvzwEXh+CrWPKvKRSoHT2Fa/hqkuylO3JEDz6oXbvS1KkdPYcRvmrEsUolhaEef1yvv64hQ7R/v+rqCB49iBG+apTLqqnRzp3auFGSZsygdvQ4RvjqUC4rCHT8uO65R62tqq/XZ5+xVocexwhfBc5VvXq1WlvVr59eeonaUQkEXx0KBbW2auVKSZozR3ffrSjK+5jQBzGlrw5dXbrjDn35pUaO1I4dqqtLJ/lAj+KUylvygfvzzyqX1b+/Fi9WXZ26u6kdlcAIn7coSjfVHT+ujz7SlCmkjsoh+FydW5ZjAo9McJLlJ6m9pUXffKMgULmsUinvY0IfR/A5Sb4ec/CgZs3S6NH6+GMFgYrFvA8LfRzB5yG5jCqX9cIL+uEHdXRo6NC8jwkWCD4nQaDmZm3cqCDQihWqr+cb78gAi3Z5KJd17Jhuv12HD2vsWDU3a9CgdK0eqCTOsMwlz6t7+mkdPqyrrtJzz+nKKyVROzLASZat5K57MpmXNHOmxo5VdzfLdcgGU/oMJX/qKNKECdq9WyNHat8+DRzIl2SQGR5imaFCQVGkMFRTky65RHPnauBAttwgS4zwGUpGcgpHfjjzMlQoqLMz3VQXRbwNFtkj+Ewk06iVKzVmjPbtUxBwEw654JyrvGQmf+CAli5Va6s2bJD+//BpIFss2lVeuaxyWQsX6swZ1dVp3rz04dOM8Mgc51yFJS+BXbtWe/aopkZPPaX6ekURtSMXrNJXUhL2oUMaN05Hj2r8eG3frmIxvYYHMseUvmKSSXsUacUKHT2qQYPU1KTaWrbZIEdMLCsm+cb7e+9p0yZJeuYZ3XQTtSNfjPAVk6zDDx6sujoNH64FC1iWR+64hq+kZDw/ckSSrr0276MBCL7SmMOjmnANX2HJ5nl20aI6MMIDRhjhASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvB5KpV4gDUyxaumchNFCkOJd1UgQ4zwOYhjlcsqFtXSom+/VaGgKMr7mOCB4PMRBHrnHU2erPnz1d6uIGBujywQfKaS1/wUClq1So8+qmPHtGeP5s/XmTPpy2aBiiL47CQvjI8iLVmiJ59UR4dqayWptlaFApfxyALBZ6RcVhCoo0ONjVqxQoWCamp09qwaG7V+vS69NP04ACqKl0lmIVmHP3VK8+ZpyxYVi5IURVq2TEuX/vELQKVxW67ikpjb2/Xww9q1S2GoUkmSXnlFTzyRDuzUjmwQfGVFkYpF/fijpk7V3r3q109dXaqt1VtvqaFBUaQgoHZkh+ArJY7TrTVtbZo2TW1tae2DB+vtt3XffdSOHLBoVymlksJQn36qSZPU1qb+/dXVpeuuU3NzWnuxSO3IGsFXRKmkmhrt2KEHHtD336u2Vp2dGjlS27bprrvS2oHsEXzPi2OFodat0/Tp+u03haHOntXo0dq2TbfcQu3IE8H3pDhO1+SbmrRggU6dStfkJ07U1q264QZqR84Ivsecu8G2ZIkWL1ZXl2pqVCppxgxt2qShQ6kd+WPjTc9IYu7q0qJFWrMmXZArlbRwoZqa0u/GBHy6Im+cgz0g+a7ryZOaPVtr1igM03tyy5Zp1SoFgeKY2lEVuA9/sZKh+5dfNGeOPvwwvWgPQzU1qbGRjXSoLgR/UZKZ/HffaeZMff55urVm4EC99pqmT1epxM12VBeCv3DJSP7FF3rkEX39tQYMUEeHrr5ab76piRPV3a0wpHZUFxbtLlBSe0uLZszQkSNp7ddfr/XrNWYM22ZRpQj+QiS1v/++Zs/WiROqrdXZs6qv14YNGjWK22+oXqwd/zfJ8yfDUOvXa9o0nTiRbqS7805t365Ro9IVe6A6Efx/kOyiCwKtWqXHHlNnZ7omP2mStm7V8OHcbEe14/T8t849gurZZ7VoUdp2qaTp07Vpk4YMSa/bgWrGKv2/8qeNdGGoKFIcq7FRL7+cPpqSmTyqH0PSP0tiPnFCs2al22ZLJQWBli7V6tXp46WpHb0CI/w/SGr/6SfNnavdu1UsKoo0YIBefDHdSMftN/QiBP93ktoPHNCsWdq/P739dsUVevVVNTSkG+mAXoTg/1JSe2urGhp06JD691dnp4YN07p1Gj+ejXToldh4c37JHbiWFk2dql9/TWsfMUKbN+u229hIh96K4M8jqf2DD9TQoNOn/9hI9+67uvFGXhqBXoxV+j+LIhUK2rBBkyfr9On0hVCjR2vnTmpHr0fw51dbqzBUEKi7W/feq+ZmXXMNr39Dr0fwf1YsKo710ENau1blshoatHkzG+nQR3ANf37JYL53r269Vf36sUkefQTB/zOu29FnMGz9neTDkNrRZxD83yF19DEEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkf8BVBUhpCgYaKIAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.2533752054263343, 7.822527255172441, 7.492623290441922])", "action": "('move', [2.2533752054263343, 7.822527255172441, 7.492623290441922])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALS0lEQVR4nO3dXYhV5QLG8Wet2TOOWccmSaOUmi4KL8S6iCgqkYyQ1BDJMnNyLMwsMqMiTAlRiwyFQNAkwZxxkhBR02wSCioZhKEoIe1CDMS6mawsc8a9197n4l3Hw+nkRePeey19/r/LmblYzKz/vB/rY0eVSkUAPMRZHwCA+iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCH4i0Glokol64PApYDgc69SURQpilQuZ30ouOgRfL6F2vv6NDCgmD8WLhTnUI6Vy0oSnTql6dPV3q4jRyQxt8eFIPgcq1RUKGjDBvX06P33dehQ+kVgsKIKJ1A+JYkaGvTNN5o0SX19mjVLXV1ZHxMueozwuVSpKI71229auVJ9fbrmGq1cmX4duAAEn1dRpP37tX27JK1YoRtvVLmsKMr6sHBxK2R9ADi/W2/VlCn61780axZjO6qCNXz+VCrpYB7HShL9+aeuuCK9PgdcGILPsfCniSJqR7Wwhs+TcC/d8eN6+GF9/HGaOrWjehjhc6NSUamkQkHPPKP163X11Tp4UK2tBI8qYoTPjXJZjY3as0cdHZL0+OPUjqpjhM+HcllxrJMndf/96u3V+PH64gv26lB1jPA5cK7qt99Wb6+GDNGbb1I7aoHg8yGK1NurtWsl6cknde+9SpKsjwmXIKb0+TAwoDvv1Fdfadw47dql1tZ0kg9UFadU1sI/3B9/VLms5ma99JJaW1UsUjtqgRE+a0mS3lR38qT27dOsWaSO2iH4TJ3blmMCj7rgJMtOqP2zz3T4sOJY5bJKpayPCZc4gs9IeDzmyBHNm6e77tInnyiO1dCQ9WHhEkfwWQjLqHJZr7+uH37QmTMaNSrrY4IFgs9IHGvHDnV0KI61apXGj+eJd9QBm3ZZKJf188+64w4dPaoJE7Rjh4YPT/fqgVriDKu78L66V1/V0aMaMULLl+uqqyRRO+qAk6y+wlX3MJmX1N6uCRNULLJdh/pgSl9H4VedJJoyRd3dGjdOPT0aNoyHZFA3vMSyjqJISaJCQWvW6LLLNH++hg3jlhvUEyN8HYWRnMKRHc68Oooi9fenN9UlCZ8Gi/oj+LoI06i1a3X33erpURyf7yJc+EFmXagRgq+9MJP/7ju99pp6e7Vli/Sfl0//3Q+em/iTPaqO4GuvXFaxqOef1x9/qLVVCxb87cunw831p0/ruee0Z086CQCqi+BrLHwI7MaN+vRTNTbq5Zc1fryS5C/z+fAfoFjU4sVat05tbdqyRWfOZHXQuGSxS19LIezvv9ekSTpxQpMna+dONTT8ZfgOtcex3nhDS5aosVHFokaM0NGjGj6ci/SoJq7D10yIOEm0apVOnNDw4VqzRk1Nf1twHGvbNi1froaG9PVW77xD7ag+pvQ1ExblH3ygzk5JWrZMY8eeb+l+4ICeekoDA+kX167VjBnUjupjhK+ZsOHe0qLWVt1wgxYu/P9t97DAP3ZMbW06dUrNzerv1wsvaNEituhRE6zhaymM0cePS9KYMX/5Zljg9/Vp6lQdPJgu3adP1+bNuvxyicfnUAMEX2PnmZeHz4Dv79fcudq+XYWCSiXdcot279bo0enyH6g6TqsaC/fQ/O9dtOF/bEODVqzQ9u1qalKppGuvVVeXxozhXnvUECN8BkLSGzdq4UJJShI1N+ujjzRxYrqqB2qE4OstJL1vnx58MH3zRRxr0ybNmcPYjprj/KqrUPu336q9XcWimppULmvZMs2Zw0U41AMjfP2EAfzYMT3wgA4fTjfq2tq0YYOamrh5HvVA8HUSbrD55Rc9+qi6u9OLcPfcox071NIicREOdcFZVg/nnntdulTd3RoyRMWibr5ZXV0aMYKLcKgfTrR6CMP76tVav16FggYG1NKirVt13XUql9mWR/0wpa+5sFHX1aXZsxVFiiINHaquLk2bxkYd6o0RvrZC7Z9/rgULFMcqFBRFWrVK06bxSjtkgOBrKNR+6JDa2vT774oiFYt6+mktXKhSKR3tgXpiSl8rofafftLMmfrySzU16exZTZ2qbdvU3EztyAbB10T4pRaLmjdPW7dqyBANDOi229TdrZYW7qhDZjjvaiJsyy9dqq1b1diogQGNHq3OTmpHxjj1qi9M5tet01tvKY5VKqmlRR0duukmLrkjY0zpqywM4Lt3a+ZMlUqSFEXauFHt7emwz9IdGWK4qaZSSXGsnh7Nn5++oC5JtGSJ5s5lWx65wAhfNeeejZkxQ19/nW7Utbfr3XfTG2yYzCNzBF8dIenTp/Xww9q7N30d5X33adcuDR3KHXXICwad6givsVq0SHv3qlBQf7/GjtWmTRo6NF26A3lA8FUQHoBZsUKbNqVPuY8apY4OjRnDtjzyhSn9hQoX4TZv1hNPpJ8009iobds0fTovqEPuMPpckPBSuv37tXhx+gHPlYpWr9b06em3gFwh+MELg/nhw3r2Wf36q5qblSR68UUtWqQkUYEP9UH+MKUfpLDxfvKkpk3TgQPpRbiHHlJnpxobWbojpwh+MMLv7OxZPfKIdu5MN+puv127d2vkSC7CIb+Ydw5G6PmVV/5b+/XX6733qB15xwj/j4U76sIrqxoalCQaNkwffqiJE3kSDnnH6fmPhaQnT9bs2UoSSdqwQRMnpjfSA3nGlH4wwue+d3Zq5EhdeaUee4yXz+LiwJR+8M4t18OvkKU78o8RfvCiSEnCY3C4mDDCA0YYmwAjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyL8BTRY1jmvUUGsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "80e45aabbf79f3858cae6be02e82834e9811e903ac299aafb9197a08bd9ff761"} +{"episode": 5987, "episode_seed": 3711519218, "split": "train", "timestamp": "2025-09-15T22:45:59.658288", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3711519218, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4165413072803332, -0.22877251870130155, -31.620126578086992])", "action": "('move', [3.4165413072803332, -0.22877251870130155, -31.620126578086992])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4165413072803332, -0.22877251870130155, -31.620126578086992])", "action": "('move', [3.4165413072803332, -0.22877251870130155, -31.620126578086992])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4165413072803332, -0.22877251870130155, -31.620126578086992])", "action": "('move', [3.4165413072803332, -0.22877251870130155, -31.620126578086992])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK0ElEQVR4nO3dX4hmdR3H8c/zZxx2ds3MwqSLdQy2LXcrczFSbwskkPCicJPELazdi6AbLzTDJPJCjLCrEoyyqwyEpCDpKtzWxjUoHVZDcaud9f+imJo585wuzmnsn86ffeaPfl+vq9kzsHOY4f38/pzznKfXNE2AGvobfQLA+hE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoZbvQJ8DbRNN0Xvd6GngdvSvCMh87fEgTPGPzmNzl+PB/7WM44I6efnr6V4mblL8MYfO97ufzyfOADufrqPP988m8zfDYVIzwnazTKzEwGgzRNJiezdetGnxBvzAjP6rXD+GOP5cknk2Q0yp49mZzMwoIl/SYleFavDf7eezM/n9Eog0F27Hj9OJuQKT2r14Z96FBGoySZns7735/Ysd/EjPCclKbJAw90X+/Yke3b0zR26TcvfxlWqZ3D//Wvefrp7siOHZmayvy8EX7zEjyr1E7j778/J04kycREzj13Y8+IpQmeVWqD//3v8/LLSfKe9+QjH0myOebztg3fwGb44/DWs7hQf+ih7sh735tdu5LNEHy7qHj44Xzyk7nrriwsdC9O2KVndZomw2Hm5vKXv3RHpqezZUteey0TExt6ZgsLGQ7z6KO58srMzOSRR3LhhTnzzDSNrYUY4Vmddsg8ciSPP54k/X4uuCDZDBfkBoMcPZrPfz4zM9m2LTfckDPP3BxntikIntVog3/44bzwQpJMTW2C4JsmTZPZ2Vx+eWZmsnVrbrkl+/ZlNLKkXyR4Vqxpunn7kSNd4Vu35uMfT9NkMNi4cxqN0uvl4MHcd18mJ3Pzzbn66m49b3j/F2t4VqzdsXv22czOdmPnzp3ZsqUrbmNOqNfrdguvuCJzc3nHO7J/fxYWMhio/d8JnhVrIz92LLOz3ZGLLko2aj4/GqXff323cGoq3/xm961+X+3/xZSeVTp6NM8+m+EwSS6+eINOop1sHDuWr3wld9+d5D+uwKn9fxjhWZnFK/B//GN3ZGIi55+frH9f7Uz+6afzxS/mnnvy619n9+6cfXY35vP/+L2wYr1eXnophw8nyfx8du3K6aev+0m0GwbPPZcvfCH33JNTTsmXvpR3vtN78d+cEZ7VeOGFzMyk10vT5OKLu4n9+mnH8BMncuWV+dWvMhjkuuty/fVJ3GDz5ozwrMbcXJ56qtsm+8QnuvLXSbuoePHFXHVVfvGL9Pv5+tfzjW9031L7mxI8K9MGdehQkoxGGQ6ze3eynm9X6fXyzDP57Gfz85+n18t11+WGG/7j5HhjgmfFmia//W2SzM9nx46ccUaybq21rysvvZQjR5Lk2mtz441ZWHAv3TJZw7Nii8En2bMn7373Ov7sdvFw9tn52c9y77356le79byxfXkEzwq0a+THHsvx4xkOMz+f887LxMTaXwhrf8Df/57hMMNhmiZ79mTPntfPieUxpWfFDh7s3mPe72fnziRr/H7zxXvp9u7N3r15/vn0ehmNunfFqH0lBM8KtIm18/nRKOeck+3bkzVdwLd78q+8kn37ctddufPO/PKXSdLvm8mvguBZgfaNZ/ff3/1z5841Dr7dinv11ezfn5/8JEkOHMhll3XvhGXlBM9ytTPrY8fyxBPdkZ07MzWV115bmwV8O11fWMj+/fnRj5Lky1/Od76TycnEFbhVEjzL1S7U77svL76YJP1+PvShNRtr29pHoxw4kB/+MEn27ct3v5uJCev2k2GXnuVqwz58uHtM7Vln5dxz0+utwUMvFl9CDhzIbbclyVVX5Qc/yGDgjTEnSfAsV3sJ/A9/6P75vvflgx9cg8+ZaZruQZSjUd71rkxO5nOfy+23d99S+8kRPMvS3kX75JM5dqw7Mj2dU09dm8fUDofdw2q+/e3s2pVLL01cbx8Pr5csS7uAf/DBLvjBoHsP/Di1+wFNk8OHu3VC02Tv3mzbltilGw/Bsyxt8LOz3WNqt27t7nMb2wK+HcB7vXzta/nMZ3Lnnd1PnZ93BW6MBM/SFh9He+RIV99pp3XBj2fcXbxT75prcuutmZvrnlfV62U4NLaPkeBZWhv8M8/kkUe6I+eck1NPHdPTZdqXkKbJNdfk5puT5LLL8v3vJ5vhY6vebmzasbQ2yT//+fVPkhvnY2rbvfdrr+1qv/TS3HFHtmyxS7cWvIKytDb4o0fz3HPdg94vvHB8/3W/n+uvz003JcmnP50f/zhTU2pfI4JnCYsL+NnZrsGJie6DpU52xt0+iPKWW/KtbyXJJZfkjjty2mkb94kWb3+m9Cyt18vf/pbDh7ubYj784TE99KKt+lOfyvR0pqfz059m27buCjxrQ/Asy4kTeeCB7ma7iy4a0wDc/i+7d+fgwfT72bYto5Ha15TgWUK7mj5+PE88kVNOyT/+0e3YjfMHnHVW94Vt+TXm98sS2gZ/97vuivhgkI9+NBnjY2oXZwvW7WtP8CzLn/6U+fm8+mq2b+8eU8tbUa9x3yJLaZo89VTm5nLoULZsyRVXdA+h4C1H8FCIKT3L0jRr/Gha1oURHgoxwkMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQv4Jv0JsPax5FB0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "d75b4a62224b779e4b94abad697859b503218aef3c7780989a0a57cb5265540a"} +{"episode": 5988, "episode_seed": 685306275, "split": "train", "timestamp": "2025-09-15T22:46:00.647211", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 685306275, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.032632404181163, 65.54818587371335, 39.481475862990806])", "action": "('move', [12.032632404181163, 65.54818587371335, 39.481475862990806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.032632404181163, 65.54818587371335, 39.481475862990806])", "action": "('move', [12.032632404181163, 65.54818587371335, 39.481475862990806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.032632404181163, 65.54818587371335, 39.481475862990806])", "action": "('move', [12.032632404181163, 65.54818587371335, 39.481475862990806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "ba3a226484b498e19cd8c74486109afcd3ce6a7a37da9e95b04c7eb1ac5b662f"} +{"episode": 5989, "episode_seed": 281549342, "split": "train", "timestamp": "2025-09-15T22:46:01.290840", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 281549342, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.480389774976196, -9.122692742005684, 18.461695977624373])", "action": "('move', [-8.480389774976196, -9.122692742005684, 18.461695977624373])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.480389774976196, -9.122692742005684, 18.461695977624373])", "action": "('move', [-8.480389774976196, -9.122692742005684, 18.461695977624373])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.480389774976196, -9.122692742005684, 18.461695977624373])", "action": "('move', [-8.480389774976196, -9.122692742005684, 18.461695977624373])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "55f42b65b52236331f13eddedb7b3da85c7078cc7d293c170280025b798b58e1"} +{"episode": 5990, "episode_seed": 1183575050, "split": "train", "timestamp": "2025-09-15T22:46:01.935089", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1183575050, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.806698054390031, 0.16317762083754467, -49.053810725341656])", "action": "('move', [-2.806698054390031, 0.16317762083754467, -49.053810725341656])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.806698054390031, 0.16317762083754467, -49.053810725341656])", "action": "('move', [-2.806698054390031, 0.16317762083754467, -49.053810725341656])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.806698054390031, 0.16317762083754467, -49.053810725341656])", "action": "('move', [-2.806698054390031, 0.16317762083754467, -49.053810725341656])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "a097463ff7f81fba2c116d7771d0d3c4eeda533c373c048c173dbf7bd7e8fc5b"} +{"episode": 5991, "episode_seed": 3759157747, "split": "train", "timestamp": "2025-09-15T22:46:02.937712", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3759157747, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.23727805377011765, -4.5411980457766825, 13.471002135273428])", "action": "('move', [-0.23727805377011765, -4.5411980457766825, 13.471002135273428])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKy0lEQVR4nO3dTYxdZR3H8d89c0urRYotldKqwAhGRWSjCxdsiDt3baJYNxJrjC9Edy40kRjflkZNTIjBt5UxmBiiiYlGYty4NBKClBlLa2uhZngpKdiZucfFOZ2pESjO3HLP9P/5pIsz93bxbL7zPOc5LzNq2zZADc2sBwC8fgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FDIeNYD2Nomk7RtJpPMzaXxy5PBG7VtO+sxAK8TM/zGTSY5dSqnTuXYsbznPXnve2c9ILgUy9CN6FZFzzyTI0dy8GA+9rH85CezHhO8BoLfuKbJmTM5eTKTSRYWMpnMekBwKYLfuKuvzvvel6bJaJSjR7O8POsBwaUIfiNGoyTZti033pjJJE2TxcWcPz/rYcGlCH6DVleT5Oabk2RuLufO5Z//nO2I4NIEvyk33JBciP/xx5ML+3kwTILflN27c801ffBHj856NHApgt+g7jR+9+689a39J4Jn+AS/KRcHb0nP8Al+g0ajtG2uuSYHDvSf/P3v/ecwWILfoNEoq6tpmvXgz57N0pLgGTTBb1y3et+/v//x/Pn+NN4tdwyW4Deum8xvuCHbtyfJSy9lYSFxGs+ACX7j1oK/7rokOX8+i4uJ4BkwwW/W/v198G2bJ57oD2CYBL9xTZO2zb592b27/+TEicRGPQMm+I0bjbKykm3b+hk+ybPP5ty5zM3Zt2OgBL8p3er9bW/rf3z22fzjH2Z4hkvwm9K1ffPNmZtLkuee61f1TuMZJsFvShf8TTdl584kef55wTNogt+ULvgbb8wb35gky8t98M7hGSbBb0r3Lvr5+X6GT3LyZGKjnqES/KZ0G/U7d2bXrv6Tp57KykrGY6t6hkjw09G96yrJU0/lX//qn6WDoRH8ZnWr91tu6X88fTpPP53Yt2OQBL9Za8F35/OnT+fMmdmOCF6R4DdrLfjxOE2TF1/sg7dRzwAJfrO64G+9NXNz/fGpU+ufw6AIfjr278+b3tS/vvb48SQ26hkiwU/HaLS+b/fkk3nhhZmOBl6B4Kfm1lv7g+PHc/bsTIcCr0DwU7MW/LFjffCW9AyN4KegC7tb0m/blqWlPP/8bEcEL0/wU/POdyYXNufdUc8wCX5q9u3LeNxffu/eVy14hkbwU7N9e+bns7KSJAsLTuAZIsFPzY4dmZ/vjxcX8+9/z3Q08HIEPwXd0v3i4I8ezfJyYqOegRH8dLRtmibveEeSjMd58sm8+OKsxwT/Q/DT0c3k3QzfNJlM+htsYVAEPx1d8Ndfn6bp76jvNuphUAQ/Hd1p/K5d2btX8AyX4Kdp1671P0rR/Z05GBTBT0c3w197bd7+9oxGaRrBM0SCn5q2zc6dOXAgbZvJJH/5S1ZW3GzHsIxnPYArRPe+6vE48/O59tq85S3Zty/PPZc9e9K2smcoRq1bQ6ZkMknT5NixPPZY3vWu7N+fq66a9ZjgvwkeCrGkn7LJpJ/qRyMreQbHDA+F2KWHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEnyRp21mPAF4Pgk+SjEaZTGY9CLjsCgffzeoLC/nGN7KwkKbJysqsxwSXV+HgR6O89FK+9KV85Sv5xCfyyCMZjzXPla1q8G3b/7vjjuzYkT/9KQcP5g9/yHhsbc8VbNSW3a9q24xGSfKzn+WLX8zSUvbuzXe/m7vvXv8KriyFg0/StplMMjeX3/8+99yTEyfyhjfk29/Ovff2zcueK0vt4HNhbd80+etfc/hwHnkkSb7+9Xz5y+Z5rjxVz+HXjEZpmrRtbr89v/lN7rwzO3bk+uuTpG2zvOyUnitJ+Rl+TTefnzyZP/85Bw8myWSSpln/CrY+wV9kLey1gwceyO235wMfyOpq5uZmOzrYvPJL+ot199utXYr/8Y9z5EjuvjsPP5y5uayuugOXrU7w/61pMh73x1ddle3bs7iYQ4fy4IP9DK95tjLBv5xuPX/4cB56KAcOZGkphw/nBz9YX/DD1iT4V9a2+dCH8qtf5bbbcv58PvvZfPWrmUwyGmmeLcqm3ataWcl4nCeeyCc/mT/+MUmOHMk3v5nrrkti654txwz/qrrHaW65JQ8+mI98JEmOH8/VV/e36PldyVZjhn8NumtyL7yQBx7IoUM5cGD9Kt3atXrYCgT/2lx87013/Le/ZWkpH/xgVlfTNJb3bAlmp9dmbX++u9P20Udz6FA+/OE89FDm5izv2SoE///osh+Ncu5clpbyzDP5+Mdz//0u0bNVCP7/1J2xv//9+fWv8+535+zZ3Htv7ruvf5ZW8wybc/gN6fbqFhdzzz3rl+u+//1s3z7rkcGrMcNvSNNkdTXz8/nlL/PRjybJD3+YQ4dy+nT/gD0MkuA3qtur27MnP/1pvvCFJPnd7/Loo/0TOJ6iZ5DGl/4vvJKmyWSSbdvyne9kz57cdFPuuittu76H51odA+McftPWXpKVC7forK7mscdy2239t7JnMCzpN63bn59MsrqaJJNJvva13HVX7r+//9bynsEQ/DSsvd+2aXLiRH772zz9dD7/+dx3X5aX+3fmwQBY0k9Vd7nu8cfz6U/n4YeT5FOfyre+lTe/2UuvGQLBT1vX/Jkz+dzn8otfJMlnPpPvfa8PXvPMlF36aeu27vfuzY9+lN278/Of5847+6/UzqyZ4S+Pbp4/dy5Hj+aOOxLb9QyC4C8bhTM8dukvm+5ZGr9PGRLn8JeTGZ6BMcNDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMh/AEVMgJFL1Wv0AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.23727805377011765, -4.5411980457766825, 13.471002135273428])", "action": "('move', [-0.23727805377011765, -4.5411980457766825, 13.471002135273428])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.23727805377011765, -4.5411980457766825, 13.471002135273428])", "action": "('move', [-0.23727805377011765, -4.5411980457766825, 13.471002135273428])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "c757f9e194626c27a04a4d3da8c85e5d404b065e719a32fa5f2852c5ba047212"} +{"episode": 5992, "episode_seed": 2888329148, "split": "train", "timestamp": "2025-09-15T22:46:03.582101", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2888329148, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.6101127736283871, -0.8337883146728394, 32.62091368094624])", "action": "('move', [-1.6101127736283871, -0.8337883146728394, 32.62091368094624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.6101127736283871, -0.8337883146728394, 32.62091368094624])", "action": "('move', [-1.6101127736283871, -0.8337883146728394, 32.62091368094624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.6101127736283871, -0.8337883146728394, 32.62091368094624])", "action": "('move', [-1.6101127736283871, -0.8337883146728394, 32.62091368094624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "1fe5b1c202c7706fa17d2eb3b47ddf692066f2fa47bec672fb2f1472e63b8876"} +{"episode": 5993, "episode_seed": 901002855, "split": "train", "timestamp": "2025-09-15T22:46:04.222492", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 901002855, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.687281867305769, -36.137073885306854, 10.590459124851037])", "action": "('move', [10.687281867305769, -36.137073885306854, 10.590459124851037])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+0lEQVR4nO3db2hV9QPH8c/9s2l/bGUaWSQZlFRIQoPqQVv5xIqgGhrOojRdmSarViSs9UeCGJgNrFaJOWUl9GcGiz2oBzUfZFGSFZkkCFsjq2V/RWH33nN+D85p3uz3+znd3e69+7xfj8ZgcHDnve+f8z3XRBiGAuAhWewLADB+CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvBlLwyLfQUoHwRfxsJQuVyxLwJlJREyQJSnMFQiUeyLQLlhhC8zQRB/kUhoYED19Vq5UpmMxNweI8AIXzaCQGGoVEqSfv5Zzz+vV17Rb79JUm+vamoY83F8BF8GwlDZrCoqJOn77/X223r2WQ0OSlJlpYaGdNNN6u5Wkukajidd7AvAceRySiZVUaEff1RXlzZs0N690t+pDw2ppka33cbYjhFhhC9dYagwVDKpTEavvaaODn3yifR36pKqq7V8uRYtUlVVca8UZYPgS070Cxkesbdt04YN2rlTktJpZbOSNHOmHn1UdXU67zxJymTiCT/w/xF8CQlDBUG8LZfLqbdXTz2lTz/V0JBSqfiR+7RpamzUvffqnHMkKZtVMsnqHSNF8KUi6jkK+7PP1Nqqd9+VpGQyfhQ3Y4bq6tTcrBkzpLwJPzBybNoVX/4m/Mcfq6NDGzdKUjqtIFAQaPp03XqrGht1+eVHfySRYKMOJ4wRvsiCIB6ld+3Spk3q7NRffymdViKhTEbptO6+W3fdpZoaScrl4gk/cHIIvjjyD8n092vdOm3froEBSUeX6/X1WrEiTj2TUSrFBB6jRfDjLVqQR+n++qvWrdOWLfrhBykv9euv1xNP6JprNGlS/IZMmrUXCoHgx0/+Wn1wUNu2qbX1H6mn05o7V83NuuWWePyPTt2wVkehEPw4yWbjUXpwUN3deu457dkjSRUV8asv1dVqaFBDQ5z3MU/jgYIg+DGXf2Du9dfV0aHeXinvwNwVV2jpUi1ZoqoqOsfYIvgxlL8z99ZbeuklffSRJFVUKJtVGOr88/Xww6qr04UXSnmzAGCMEHzhHXMkprdXa9dq504dOXJ0W27KFD3yiJYs0cyZEpvwGC8EX2DD22y5nL76Sk8/rZ4eZTJHD8yddZZuv13NzbrgAumfm/bAWCP4ggkC5XLxJvzu3Wpv16uvSlIyGY/506Zp/nw1N+vSS+Mf4SMrMM4IvjCGl99ffKE33tDLL+vQoXiWnsmoslJ1dVqxQrW1Ut7pOmCcEXzB9PfrhRf05pvq65PynrctWKBly3TDDRIvt6HYCH5Uhv/xnnlGHR3av1/Ke2u9pkZr1qi2VqeeGr8GwyY8iosbcFSizblUSrt2af/+eFTP5TRnjlpadPPNOuUUScpmlUpRO4qPEX60oo23r79WdbWGhjRnjpYv16pV8WttHKRBSSH4gmlpUSqlpiZNmULnKFEEXxj5D9h4ax0li+ALJnoOH312BVCaCL5gOEWD0scT4YKhdpQ+ggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMELyTMCz2FaDICN5DlHoiUezrQJERvIEgUCKhPXvU0qI//pAY6n2li30BGGNhqGRSBw/q/vu1Y4f27VNnp9JphSEDviFG+AktGskPH9Z992nHDk2erGuvjWuHJYKfuIbX7c3NeucdpVJ67DGtWqUgiL8PP4mQP/YTVSajigq1temhhyRp6VK1tyudVjJJ7bYIfoIKAgWB0mnt3as771RVlXp6NGkSS3dzBD8RBYGSSUnK5ZRK6aefdNppOv10agfBTzhR1d99p6lTNW0akSMfm3YTS5R3f7/q6rRokXbvlqRcrshXhZLBc/gJJJrJ//67Ghr0zTf69lv98osSCR7CYRgj/EQRHbAJAjU26v33lU6rrU3z5imXU5o/64hxK0wUQaBUSmvWaOtWSXrwQa1eXexrQslh025CiCbz69erqUmS7rhDW7cqkWC7Dscg+PIXbdRt2qTVq3XkiObNU1eXzjhD4jgdjsUafqIIQx05orlz1dmpqiqexuG/YoQvZ8NVR1/09GjqVF19dXzeBvgXgi9bUeTRgfl8w8fsgH/hzihP0WdaHD6sZcvU1qZDhxQE8fN2asf/xghfhsIwfsW1oUGbN0vS55/ryitZt+O4eA5fnlIpPf54XPsDD+iSS6gdI8EIX26iJfqLL6qxUbmcFixQZyfvvWKECL6sRLV3dWnpUv35p667Ttu368wz2ajDCBF8+Yh+Ux9+qHvuUV+fLrtM772nWbOoHSPHjVImhv8ud3aqr0/nnqstW6gdJ4pNu/IRrdKffFJDQ1q4UNXV1I4TxZS+rETNDw2pspLjdDgJjA+lLQzjyfz69RoYUCKhIFBlpcKQ2nESCL6EhWH86VRr16qpSfPna3Aw/pQLnsDhpBB8qYpqT6e1ebNaWyVp1qz4+9SOk8UaviRFM/lkUh98oPp6HTyoq65Sd7emTyd4jAbBl6So6i+/1I036sABXXyxurs1ezbb8hgl7p7SE9Xe16fFi3XggM4+Wxs3avZs5XLUjlHiBio90Yy9oUF79mjyZLW3q7ZW2Szb8hg9Dt6UqsWL1denlSu1cCGP3FEorOFL2L59uugi/rNXFBDBl6pof449eRQUa/hSFR2wAQqKER4wwggPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH8y2IlipDWlvAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.687281867305769, -36.137073885306854, 10.590459124851037])", "action": "('move', [10.687281867305769, -36.137073885306854, 10.590459124851037])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.687281867305769, -36.137073885306854, 10.590459124851037])", "action": "('move', [10.687281867305769, -36.137073885306854, 10.590459124851037])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "9fe5a4cd9e8c81a7c4668b0defefbedd414b17c1f69af8811b0d514e15b7ead1"} +{"episode": 5994, "episode_seed": 705676564, "split": "train", "timestamp": "2025-09-15T22:46:04.872074", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 705676564, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.31357507413539, 30.335885058477285, 4.0187742447492])", "action": "('move', [-17.31357507413539, 30.335885058477285, 4.0187742447492])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.31357507413539, 30.335885058477285, 4.0187742447492])", "action": "('move', [-17.31357507413539, 30.335885058477285, 4.0187742447492])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.31357507413539, 30.335885058477285, 4.0187742447492])", "action": "('move', [-17.31357507413539, 30.335885058477285, 4.0187742447492])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIBklEQVR4nO3dW48cxR3G4X/17iJjwBLmKAKYdWRwjBE+IsQd34nvwidCysnYkU9JgPUBJcGAw4KMDOzOVC5myI19Eck9TIf3ee52rkqt+U11Vfd2t957ARmGdQ8A+OUIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoJsrnsAvxK913xevdcw1OBXlKlqvfd1j+H/Xu/V2roHAf8DM/wIWqvd3bpypW7dqvfeq+3tms/N80yR4B/JIuyPPqoPPqidndrdrQ8/rO3tms0EzxQJfgRPP13Xr9e331ZV/+v1XjVYJzFNpqFH0lrN53XiRB15tQ9DtdZ2bgzzeW1uluaZIME/kkXwVXXst/vzee+9bt6sf/yzhkHwTJHgH9VirX72nc3WWlV99mm/fbNX1VzwTI/gH9XigtyZM21zs4ahdr/tt2/1qqr5escFDyH4R/Vz8LW53AAd/v7pUFXDxhoHBQ8n+HE891xtv7K3WM9fu1b371vGM0WCH825d5dT/NXL/e7d9Y4FHk7wozl7tlXVxkZ98mn/991eZYZncgQ/gkXY589XVW1u1k97w42brcoN9kyO4Efz2mv1xBO1v19V9fHHVYJnegQ/miefrLfeqtmsqurixfrxx3UPCB4g+BEsZvKDB+v06eWff/7TfBG8ZTyTIvhx9F4bG3XqVLVWW1v1ry/anS/WPSZ4gODHsbgC//rrvffZfF6ttY8vrntM8ADBj2NxVv/CC/Xii21/v3qvCxfWPSZ4gODH8XPw7eSby0P6x9/vr3NA8DCCH03vdfhwvXG8qqq1unp92NtzZY5pEfw4WltegX/9WK/q1er+/eHK5Sob9UyJ4Ed29Gg/cKD3ef3wQy327eb+T5bJEPxoNjaqqraPDi+/PFTVbNYvXpiXGZ4pEfxoFsv17e169dXlB3+5bAXPtAh+NK3V3l4dPFhHjiw/uXOn3f3aAy2ZEMGP7/jx5Wz/zTd19VqVZTyTIfgxLR5oeeJEPfVUVdXubr96eV5VXfBMg+DHtJjYT56sZ56pqtrf79cWM7xTeqZB8GMahprN6siROnx4kfhw45b3UjAhgh9Zn1dr9btjs6peVZ9/Xrdve6AlUyH4kbWhqur0+eV7KW7e7DufWcYzFYIf2WIZf/pUHThQrdV33/UbO1U26pkGwY9s+eapc7X1WFVVa8MnO0NVDZbxTIDgx9d7HTpUR1/Z7716r79dr3v3asORZgJ8DVei9zr37vJdU9eu9a++XH4I6yX4lWitzp5rrdUw1Gc79eVXVYJnAgS/Ku+cr95ra6tms3bjRpXH1DMBgl+V7e06dKj29qqqLl2q3pf7ebBGvoPjW8zkBw7U228vr8ZdutTv369yVs+6CX5VHn+8zpypqmqtLl2Yff+91lk/wa/EYiZfBP/YVt35euPOHSt41k/wK7EI/vgbvdVs1quqeUw9UyD4FXr22frNS7W/V+V9skyD4FdiEfYzz7a3Ti1vv7nwB++lYP0EvyqLG2zfPFEbm7W1VZevD4uNelgjwa9EazWbVWt17FjN9vveXt27N1y5UuXKHGu1ue4B/Gr993FX77/fXnqpTp6s559f95iI17oZZ5V++qmGoTb9rjINgv8lLG6w3dy0S8+aCX61FkdX50yEc83VkjqTYpcegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwHE7JwPeLwIJsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c3ad6f7f5d70c49c36cc458228ebec44ce0ed186223297911ba39581b0ea91e6"} +{"episode": 5995, "episode_seed": 39898011, "split": "train", "timestamp": "2025-09-15T22:46:05.864605", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 39898011, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8677686287913602, -1.5910827319916645, 43.15943450476277])", "action": "('move', [-1.8677686287913602, -1.5910827319916645, 43.15943450476277])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8677686287913602, -1.5910827319916645, 43.15943450476277])", "action": "('move', [-1.8677686287913602, -1.5910827319916645, 43.15943450476277])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8677686287913602, -1.5910827319916645, 43.15943450476277])", "action": "('move', [-1.8677686287913602, -1.5910827319916645, 43.15943450476277])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ90lEQVR4nO3dT4icdwHG8Wd2N2kKmkaxlUaT2hpNaotp7TbNoccqnsTizZt4VVAEBQUPgYqnVj2JiCdBVBA9CGJPglKMlCQ91MS1VWvSUiu2mE2tZnfGw/tmI2ilCt3JzvP5HMLkveybMN/9/Zl533cym80CdFia9wkA20fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUGRl3iewHWaz8cVkMtfzgHmrCF7nMFj8Kf3mZtbXc/58fvGLeZ8KzNsiBz+dJskPfpB7782BA3nggVy6NO9zgrla/OBfeilnz2ZpKdNpHn88+ZclPbRZ5OCHpfvhw9m7N9NpLl/OyZPJlV8EUGjxgz94MLfdliSzWX71q/EFdFrw4Gezq8EnefLJJFla5H80/DeL/N6fTHL5cpaWcujQeOQvf8m5c+N6HgotcvC5Mqu/446srCTJiy/mzJnEMp5WCx78MHt/z3vy1rcmyd/+ltOnE8HTavGDn81y55256abxyK9/ffU4tFnw4CeTbGxkz54cPDgeuXAhL7yQlRXB02jBg8+Vvfq77x7X83/4Q37zm8SHc1SqCH4yyT335Prrk+RPf8q5c4llPJUWP/hh3+7YsezZMx5ZW7t6HKos/rt+mNLfdFPe9rbxyLlzefnlLC8b5Kmz+MEPZrOsro6vn3wyzz4717OBOWkJfjLJsWPjen5tLc89l9i3o09L8EmOH89slpWVTKd56qnEnXDoUxH8EPa73pUbbsjmZpKcPp3NTft21Cl6y193XY4dGzfqTp/O+npiVk+ZouBXVnLvvUmytJTHH8/Fi/M+Idh2LcEPI/kQ/K5dWV/P738/1xOCeegK/siRrKyMy/jh7jf27ajSEvwQ9r59uf32bGwkycmTFvDUaQl+8OY35+jR8fUvfyl46rQEP5lkOs3u3bnrriRZXs4f/5jz5xMb9TRpCT5XLo9797uTZDbLxsZ412roURT8sIw/cCD794/xD8t4Izw96oK/5ZYcPjweOXlyvJYOShQFv7SUzc286U1X71r99NNZX/cFW4p0vdmHT+CHZXyS9fU88cS4nwcNuoIfBvMjR/LGNybJxYs5dSpxuytqdAW/9VyK/fuTZGND8HTpCn54yNQ73pGbbx6PrK1lYyPLy7buqNAV/HCb+snk6r7d88/nd78TPC26gs+VZfzdd49Pmzt/PmfPJmb1dCgN/n3vG/ftLl0SPEXqgh/27Y4ezd6945HhQTRm9TRoDH5zM9dfn1tvHY+sreXPfxY8FeqCz5VB/vjx8a9nz+aZZ+Z4OrB9eoNfXc1kkuXlPP/8eJ2sZTwLrzf4redSJOPjJX2pnoU37/f4bDZ+wX3b7d+fW28db3d15kz+/vcsLVnGs+DmHfwwq97Y2P7Ulpdz333j61On8uKL2/zzYQ7mHfxf/5qf/Wz8Esy2r6Hvuy9LS9m9O08/nZdeStzuikU3v+CHe8184Qv58Ifz5S+PT37aruaHsFdXM53mH//IK6+4azUVJrM5DmrTaQ4fzm9/myQf+EAefjh33JEks9nrXd7wEy5cyEc+kkOHsrqaD30ot932uv5MmL/5BT8098wz+exn873vZTbLjTfmoYfy8Y9v23b5dJpLl3Ldddm9e3t+IMzZXEf4rZH861/PiRPjQ9s/+tE89FDe/vYsL2/bDHv4PzCfZ+HNNfhcWckvLeWJJ/K5z+UnP0mSY8fy05/mhhvGJf3rOeBLnSrz3qWfTMabS773vfnRj/KlL+Xmm/P+9+cNb8h0mqWl13snb+u7N9Bg3iP8ls3NLC8nyZkzueWW7NuX6TSzWU6dyupqsh07ebDw5j3CbxmuVptOc/Ro9u0b5/nf/GY++MF8/vN55ZXx5rLXyK8n2JmumRF+y/CB/JD3/ffnsceS5P7788gj41C/NRcA/kfXzAi/ZdicH0b4H/4wH/tYVlby85/ngQfyla/k5ZezvOy6Nvj/XHsj/JatRfu3v50TJ7K2liQPPpgvfjF33WVJD/+Hazj4ZFy0Ly/n7NmcOJHvfCdJDh/O97+fO+8ct/FlD6/ZtTel/1fDx3KXL+fIkXzrW/nGN7JnT26/PQcOZDq9+pGaGT68Ntf2CL9la6Puqaeya1cOHhyn9GtrOXRovN38cMkd8Oqu7RF+y9YtJt/5zqu1P/po7rknn/50nnsuKytzuagedpYdEnyufP11SHr487vfzcWL+epX8+CDefTRrKx42jv8dztkSv/vZrNcuJCvfS0PP5zNzezdm09+Mp/6VN7yFhv48Gp2bPBbfvzjfOYz420oH3ssx48LHl7NTg5+a6P+hRfyiU/kxhvzyCPZtWvepwXXrp0cfFzdCv+bnbNp9x8NI/yO/p0F22iHBz8wwsNrsxDBA6+N4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIPwFPODpbqzG/kgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "cc7cd6e445fa139f0f78fa43283f0e8a906bcb8a21060874d2fe442fc3d1d1c7"} +{"episode": 5996, "episode_seed": 3012366088, "split": "train", "timestamp": "2025-09-15T22:46:06.510700", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3012366088, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1326888887448492, 7.148232916796608, -8.65856640449194])", "action": "('move', [1.1326888887448492, 7.148232916796608, -8.65856640449194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1326888887448492, 7.148232916796608, -8.65856640449194])", "action": "('move', [1.1326888887448492, 7.148232916796608, -8.65856640449194])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALjUlEQVR4nO3dXYgV9R/H8c/MOemuT6u5KYqIFoIbaReGlRDShZibpXnRVrs+bF5YUkEF3Wl1W0gmmGVhlFDRhUUXhkREiNvuWq6uD5tupq2o0SKZSMuyZ2b+FzNZ/7/192ntPHzer7u6GnDe5/ubmd/MBkmSCICHsNgHAODfQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8/k4UKY6VJMU+DgyyfLEPAKUnipTLSSL4ysOEx3+LY+Vyam3Vpk0KAiUJ2VcSJjz+Ip3t7e1qaFBPj/r69NxzKhSU5zypEEx4/KFQUC6ntjY1NqqnR2PGaPJkSQqCYh8ZBk2QsGCDlI3x9nY1Nam7WzU12rpVDzygOFbIVKgcBA9lVX/7rRobdeSIRo3S1q168EElCeO9wvDjbS9JFIbauVPLlunIEY0dq/ffp/ZKRfD20qq3bVNXl2pr9fbbWrRIUVTsw8J1wd1XSJJeeEH9/brrLj30UHb3jvFeibiGd3Xx3bj0mVwcKwiovVKxpLdUKCgM1dqq5mZ1dipJ/txdF4bUXsFY0vuJIuXz6uzUqlXq7NTp0/rkE1VX8wTOAcGbSXfO7t+vRx5RV5fGjFFjo4YO5Z68CYJ3ks7wffvU2KiuLtXUaNMmNTQojiV21FlgCWcjrX3/fi1dqoMHNXKk3npLDQ0qFLhL54O79B4uzPbHHtOhQxo2TFu2ZLOd2p2wpDeQrtgl9fTohx9UXZ3VLnGXzg0TvtKld+MuTPIPPlAcq6kpe8ud2W6G4CtaupLv7dVNN/35n/rLN21ghhVd5YoihaEOHdKCBXrxRUkKQ0URtTtjwleo9P32ri41NWnPHg0frm++0YwZPG83x4SvROleuu+/z2ofMUJvvKEZMyQu2t0x4StOeqHe3a2GBnV0aNQobdig5cuLfVgoCUz4ypJ+zeLw4az2ESO0fr2WL1cU8fFZiOArSvq8/fBhPfqoOjo0fLhef13Nzdm7cSzmQfCVI46z4CdP1rhxGjJEGzbo8ceze/LUDklcw1eI/3nAfu6cWlp0333FPiyUHIIvf2ntx46pr0+33spr7fg/ODPKXJr3jz9qyRItWqSWFumPPwUJXISXZ8pZWvvRo2pq0t69CgKdPKkwzL5CCVyECV+20p2zx45p6VK1tqq6Wm++qSVLsl03wN/hGr48pbP99GktXqz2dlVVaf16rVpV7MNCqWPCl6f0DznHsWprNWqUXnuN2nE5mPBl68KQ7+hQfT3frsHlIPhyduHVN96Bw+VhSV/O0k/ZpF+hBC4DEx4wwoQHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEX/aSRIWCoqjYx4FyECRJUuxjwOAYGFA+ryAo9nGghDHhy1j6W/3779q4UQcO6IYbqB2XQPBlrFCQpA8/1FNPafFirVmj06elP34IgIuxpC9Xcawg0K+/auFCtbUpjjV2rHbuVF2d4lghv+T4O5wX5SqKFAT6+GO1tioMlcupoUHTp2tggNrxj5jwZSmd4T//rPp6dXQoCFRbq7Y2TZ2qJOFKHv+IWVCukkSffqqODuXzShI1N2vq1GydD/wTJnz5SWf4mTO64w6dOKE4Vm2t9u/XuHHUjktgwpeftOr33tPx4wpDJYmef17jx1M7Lo0JX37iWGfPavp0nTmjJNEtt+jrrzVhgiSaxyUw4ctMervu1VfV25uN96ef1sSJ3KvDZWHCl5MkUZLo1CnNmqXeXiWJbr9d27drwgQlCU/jcGmcI+UkihSGeuUV9fZKUi6n5mZNnJj9f+CS8sU+AFyuKFI+r85ObduWbZ6dOVMrVlA7rgBnSnlIF/OSNm/WyZPK5RSGeuIJ1dSwmMcV4Bq+PESRcjnt3q2FC7P1/MyZ+u67LHVu1+EyMRrKQxhqYEBbtuiXX5TLKUm0Zo1yOYnacSWY8GUgfeS2Z4/mzlVfn+JYd96pXbtYyeOKccqUjXXrdP68gkBJopdfzh7CA1eE4EtdOt7b2vTRR8rnVSiovl733EPtuBoEX+rS+/MvvZS9CTdkiJ59VtXVvBiHq0HwJa1QUBhqxw599VV2327JEs2ZwzdtcJU4a0pXupjv79e6dervVxBo9GitXKlhwxjvuEoEX7oKBeVy+uwz7dqlXE5RpPnzNXeuCgXl2SGJq0LwJSqOlc/r3Dm98476+pQkGjNGzzzDt6hxTQi+RKWL9u3b9cUXyucVx1qwQHPmZFvugKvDxptSlF69nz2r++9XS4tyOVVVafdu1dXx3juuCRO+dH3+uVpalM8rirRsmerqJDbS4tow4UtOOsP7+jRrlg4flqSaGu3erZtvlgge14YJX6K2blVXl8JQcazVq6kdg4MJX3LiWP39qqvTiRNKEk2apC+/1LRpbLbBIOAMKi3p52vWr9dPP2Wvx6xcmdXOeMe1Y8KXkDiWpN5e3X23jh9XkmjaNO3YoSlTFMc8jcMgYMKXkHTRvnGjenokKQzV2KipU3n2jkHDhC8V6WK+u1v19Tp6VEGgm29We7tGj5bE1TsGB+dRqQgCBYG2btXRo9nfh3zySd14I9+oxGBiwpeEdDHf1aV583TqlIJAU6bo4EENHcq9OgwmZkdJCALFsd59N/sEdRxrzRpVVRX7sFBxmPDFl/4LdHdr9mydP6841m23qa1N1dXFPjJUHCZ88aVX7+vW6bffsm9Url2rqiq+WofBx4QvsnTn/IEDmj1b/f2KY917r7ZtU02NxF5aDDa+nFJkcawo0tq1GhhQLqdcTqtXa/RoPmuD64IlfTGl++dOntS+fSoUNDCgefM0fz776nC9EHwxpQ/YJ03S5s16+GGNH68VKzRyJDvncb1wDV8qokh796quTtXV1I7rheBLAlfs+HcQfKlIkmy/HeMd1w/BA0a4aQcYIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8AIU9DFlHpbcsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1326888887448492, 7.148232916796608, -8.65856640449194])", "action": "('move', [1.1326888887448492, 7.148232916796608, -8.65856640449194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "ca6b1df48fd480bdb07b04f8baff8c7cb2d68c0a5bacf5a9d511968f88db7625"} +{"episode": 5997, "episode_seed": 1891714902, "split": "train", "timestamp": "2025-09-15T22:46:07.167922", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1891714902, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.771877181592075, -1.886591848034703, 47.89120235997901])", "action": "('move', [-7.771877181592075, -1.886591848034703, 47.89120235997901])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.771877181592075, -1.886591848034703, 47.89120235997901])", "action": "('move', [-7.771877181592075, -1.886591848034703, 47.89120235997901])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.771877181592075, -1.886591848034703, 47.89120235997901])", "action": "('move', [-7.771877181592075, -1.886591848034703, 47.89120235997901])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "046838d2e5705fcbc5edeae838a6e62e523807aeb1a092f6876e4fdf6ff094f9"} +{"episode": 5998, "episode_seed": 2094377338, "split": "train", "timestamp": "2025-09-15T22:46:08.169551", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2094377338, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.953875057193444, -6.842572579029905, 12.430974342515858])", "action": "('move', [4.953875057193444, -6.842572579029905, 12.430974342515858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.953875057193444, -6.842572579029905, 12.430974342515858])", "action": "('move', [4.953875057193444, -6.842572579029905, 12.430974342515858])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALVElEQVR4nO3da4gVdQPH8d/MOWfd1BRMxa7ko5YYdpMgtYsmmaGQJITdpF2wQLReVK8ig+pFlIkpgaQlkkZiboVQkSkYtIKVdsNCE5RuQomCu+ruzuV5MYM+T/Q8qbunM+f8vp93+mqY3e/+Z/7z/88EaZoKgIew1gcA4J9D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBo1eiSElS64PAGQvSNK31MaBeJYnCUJLSVEFQ66PBGWCExzlKU4WhNm3SoUMKAjFw1AWCx7lIEgWBNmzQAw/onnt08CDN1wcu6XHW4lilkrZv16xZ6uiQpHHjtGWLLrqIa/uiY4TH2UkSlUrau1ctLeroUFOTJE2apBEjqL0OMMLjLGRJHzmimTO1Y4fKZUWRZs3Su++qXK71weEM8FPCmUpTJYmiSI88crr2CRP0xhsqlxne6wOX9Dgj2YVgqaTFi7Vxo/r1UxRpzBitW6dhw/I5PBQfweOMZEm/+qqWLFFTk7q7NWSIVqzQ2LGKovxpPIqPe3j8vShSuay2Ns2dqyjKB/OVKzV/vnp6VKnU+vhwxvjLjL+RJCqX9fnnWrAgzztJ9PTTmj9fSULtdYYRHv9PNhX3yy+aMUPffZdP1D30kNasOb2uFnWE4PE/Zb8anZ2aPVtbt6pSUU+Ppk9XW5v692eWri7xJxp/Las9CPToo9q6Vc3N6unRhAlatUoDBtT64HCuCB5/LY4VBFq8WGvWqKlJJ0/q4ou1YoUuu+z0vB3qDpf0+LM0VRSpUtHq1Xr4YUkKAlUqWr9ec+bkM/aoU4zw+LM0VaWiLVv05JOSVC4rSbRkiebMyWfsUb8Y4fFfsmn5H37QnXfqwAGVSopjPfGEXnop3ySHukbwOC2r/Y8/dMcd2rUrn5a/916tXatSiYdwjYCfIXLZ4tk4Vmurdu3Kp+WnTNErr6hSYZauQRA8pP/YCbdwoTZvVqWikyc1erSWL9ewYfmMPRoAwSOfli+XtXSpVq5UGCqKNGiQXntN48dz695QuIdHvkj2nXfU0qITJxQEShKtX6+5c6m90fCMxV328tlsb0xHh8JQcawXXsg3xvEQrsEwwlvLxvaDBzVtmvbvzze6L1qk5cvZG9OYCN5XlnRnp6ZPV3u7+vVTV5fuukvr1mngQF5Z1Zj4G24qSZQk6uxUS4va21Uuq6tL116rZcs0cCDT8g2L4B1lD+HCUM89p40b813uF16oNWt0+eVM1DUyLuntnNr3unq1Fi5UkiiO1dys997T7bdTe4MjeDvZ2P7xx7r7bh0/LklpqtdfV2sr0/KNj0t6L3GsMNS33+r++9XZmb9P/pln1NrKTjgLjPBGsrH90CFNm6Y9e/KHcPPmadWq/F2UTNQ1PEZ4F0kiSYcP68EHtWePymV1d+uWW/Tyy6pUeAjnguAtZJdxUaSnntInn6hSURTpyiu1dq2GDmWNjRF+zo0vG73DUMuWafVqNTWpp0cXXKB163gIZ4d7+MaXBb9hg+677/Q/N23S7NnUbocRvsFlebe357WHoYJAS5dq9mylKbXbIXgLx49r1Kj8FReLFumxx/I5PLjhkr7xZYP899+rtVVDhmjDBp13Xn5XDzcEbyG7Vz90SGGo4cOZlvdF8C5Ozc/xyN0ZwRvJ3ktL7c4IHjDCnRxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBox6wxauPEDzqQRDk37tF7/BtIRRe9rFbXrjZFwgehRfHevFFBYFmztT48RLfxDp3BI/C6+zUs8+qq0thqKuvVk9P/ik8nD3u4VFg2Vzdzp3q6tKIEZo4UWJ47xWCR+F9+KGCQCNH6pprJPHC3d7g3KHAsum6bduUpho3ToMHq7ub4HuDc4eiyt6ev3ev9u9XuazJkyWG997i9KGosqfu27aps1NDh2rqVInge4vTh6LKZuw++khpqlGj8k9bE3zvcPpQSNmnbdNUV12loUM1ZUqtD6hB8CEKFFj2WayuLkWRBgyo9dE0AoJHgcWxkoRlNn2I4FFUfOO2CjihKJ5sfn7fPs2bp8cf12+/SeyQ7RuspUfxZGP711/rzTclacGCWh9Q4yB4FMyp+fndu1UqaeJEDR9e62NqHFzSo3iCQIcPa8cOJYmmTtXAgfl/otcIHgWT3av/+qu+/FJpqkmTFASK41ofVoMgeBRMNpJ/8406OnTJJRo5stYH1FAIHgUTBIoibdumUkmTJ+vSSyWW0PcZziOKJLueP3ZMmzcrjnX99erfX1HEDXxfYZYexZOmuukm/fijbrih1ofSaFhph6Lq7laSqLm51sfRUBjhUTBpqjRVHKtS4Uq+zzHCo6iy30ya71NM2qEw4lhpqrff1uTJWrJEXV0KApbQ9y2CR2Fku98/+EDt7XrrLTU3822pPkfwKIY0VRjqxAnt3i1JN98sSUnCJX3fIngUQ7ZD7osv9PPPKpU0bZrEepu+xwlFMWSr5T/7TEePavBg3lFbJZxQFEC2JVbSrl2SdOONOv98puuqgeBRAFnwBw5o3z6FoWbMoPYqIXgUwKnr+a++UpLottuYq6sSVtqhAMJQaaoxY9TSoiNH2BJbPay0QzFkD+ElHT2qQYOYrqsSgkeR8GrqKuPkohhOnFBHh8KQ1XVVRfAogCjS889r5ky9/z4jfFVxclFT2R1lR4fa2vTpp9qxQ5KShMdyVULwKICfftLevWpu1q23SlIc81iuSggeNZWFvX270lSjR+uKKyTlq+5QBQSPWktTtbUpTTV+vP71L3bIVRXBo9aiSMeOadAgXXdd/o5qgq8ansOjAH7/XTt3auxYjRrFo/iqInjACH9KUQBJoihiyc0/gBEeMMIIDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOTfDYUj/pfEYxIAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.953875057193444, -6.842572579029905, 12.430974342515858])", "action": "('move', [4.953875057193444, -6.842572579029905, 12.430974342515858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "2d24141002f6f64939a08aeaed4d97ffb6a176f453476a20ebfd2002641e76dc"} +{"episode": 5999, "episode_seed": 2650973978, "split": "train", "timestamp": "2025-09-15T22:46:08.818379", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 101, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2650973978, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [36.66206570533651, 16.274444128447055, -49.03453369312507])", "action": "('move', [36.66206570533651, 16.274444128447055, -49.03453369312507])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [36.66206570533651, 16.274444128447055, -49.03453369312507])", "action": "('move', [36.66206570533651, 16.274444128447055, -49.03453369312507])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [36.66206570533651, 16.274444128447055, -49.03453369312507])", "action": "('move', [36.66206570533651, 16.274444128447055, -49.03453369312507])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need 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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxklEQVR4nO3dz69cZR3H8e85M7eAgBvCf6AJAQJG3LRFqIAkbdPgAg3VEAmoSFsILRo0BioaEZAFEkjQaAiYaJSIkBABJalACAvUyIJEsIEABdJYLaSU/rgz57iYxhVY+3Pm8nm9chc3926ezXue55znnGeavu8LyNBOewDA0SN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ42I++n/YIDh/Bw//S9/t+PhwEDx+o76tpqm33/f4hIHh4f5PaX3ihzjuv7r23mqbm56c9pkM2nPYAYBaNxzUY1H331fXX19at9fLLddYn+zM/0Uz+vnCZ4eEDPfdcbd3aH3dcvfpqfevbtWtXte3CXtsLHt7HZBq/7bZaurR27arhsB57rP/ed7umquumPbhD0PQL+vMKjpj/XsMvO7f/9/amaapt+t8+2Kxate9fC5EZHt5f01TX1Wmn1e2391037vuaHzVXXdW//no1zUJd2AsePlDbVtfVly9r165puq4/5ph6443ma1eMpz2ugyd42I++rxtubJcsafbsqbm5euyP7cYbusku3YKb513Dw36MRjUc1jNP9ytXdjt2DpqmTjixfvXLWr68FtwunRke9mM4rPG4ln66+eEtTd/3bVvvvF3r19eWLTUYLLCb9oKH/WvbGo3qyq+3q1c38/M1HNaLL9aGDbV7d9WCeupW8LB/TVODQbVt3XlnnXJKjUY1N1cPPFA//ckCexTHNTz8v7qu2raeeabOP7/27q2qmht2m/7ULFnSTP41+xbCGGE2TCbzpUvr1lurbWturvbOt1dc1v9r24LZmRc8HJjxuL5yRX3uom7v3n4wqL//o7322n48rvF4ATQveDgAkydqjz+h7rij+fjH+nHXL1pUv/5N/fxn3XC4AO7Yu4aHAzbZfn/09/X5L9Tu3dV19dHjx48+3ixe0o5HNZjhl87N8HDABoMazdfyFXXd+m48rrm5eufdwTe/0Wz7Z7WDmV7Ym+Hh4PV9Lb9w9PgTg7lFzfzeWru27rprph+/EzwcpMlLsq+9Vuec07/6WtM21XV1//116aWz+/6s4OHgTcJ+6KG65JIajarr6qSTatOmOv30ms2d+dkbESwoo1GtWlXXXFPjcQ2HtW1brVnT79y573X6WSN4OHiTR24Hg7rpprrggpqfr2OOraef7m/8zng2g7ekh0M1uUv3/PO1ckX/5ltNVQ2a/v5f9Ku/2E5erZ0dZng4VINBjcd15pl16y1VfTccVlfNjRvbl16q4XC2dukED4fB5MX4L13arF1T8/N929bmzf3Va8d79szWN1UJHg6PyQF4N9/SLl48OSSn+cMT7Q++383UvXrX8HDYTLbi/vLn/rMXdNvfGQwG1TT18MO1YsWsPI0zSx8+sMC1bY3Hddanmh/d3gwGXTuo0aiuXtfNzmFYgofDabKwv/yK9vLL2/m9NTdXL7/SrllT775bXTf95gUPh9PkJIy+r40b+zPOqPn5GgzqkUfq7rtn4o69a3g4/CZX7M8+WxdeWO+9V21bJ57Y/+7BOndZM93H7M3wcPhNduYXL66bb963jN++va78avfWW/10D8MSPBwRk7t069bV6ku60aifm2te3Dy4bkPVVI+1tqSHI2Wyen/zzf4z53YvbW4Hg2Y8rjt/3F99zdROuRU8HEGTsDdtqosv7nfsaLquPnLs+PE/NIuXtFPZmbekhyOoaWo0qmXLav21zeTLJ3fsHKxb27zyynTenxU8HEGT92fH49pwXa1cPuq6vqr++rfmqaf27dgf7fFY0sORNlnYb9lSZ59db79d99xTF11UixZNYUkveDgaJs0/+WSdfHKdeurUhiF4ONqm+OyNa3g4erpuygfamuEhiBkegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwHn+IlkbAFfvsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a2d95e60f30cfbb8f249851eba8a89a691822d1ee12ad91c52b9287f9d3857f7"}