diff --git "a/train/batch_000198.jsonl" "b/train/batch_000198.jsonl"
new file mode 100644--- /dev/null
+++ "b/train/batch_000198.jsonl"
@@ -0,0 +1,100 @@
+{"episode": 19800, "episode_seed": 1260600975, "split": "train", "timestamp": "2025-09-15T23:02:13.501641", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1260600975, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-92.47889665181548, -89.24694469604412, -14.653050762896356])</answer>", "action": "('move', [-92.47889665181548, -89.24694469604412, -14.653050762896356])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-92.47889665181548, -89.24694469604412, -14.653050762896356])</answer>", "action": "('move', [-92.47889665181548, -89.24694469604412, -14.653050762896356])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH6klEQVR4nO3dz2sc9R/H8ffuZkODFsWKePIHSikp9FBbwfqDIpRSz16qKBT6B+jJu3+F4EHwICLUiwpVAmqxKvZQsVKRgiBBPDQqpFjLbnb3e9glmyb9+i39ptluXo8He5hOZqZDwnPms5PZSWMwGBSQoTnpHQC2juAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyMykd4BbMRhsznYajc3ZDtNC8FNpi0Nde3zZON1sOnBMjcZgs04WbKG//qq//65G41ZeVf97AbYrwU+Zfr+azXr55XrvvaqqRqNmZkavdnv99MY5616zs6OJVuu/rtJuj7+6blPDiSeeqPvvn/T3hZtjSD+VZmdrdnY0oh4MqtOpTqcGg/GcrfTJJ/XCCzUYGB1MAcFPmWHMly9Xp3O7/ou1w/61/6wN1w5mZmplpe6++3btCZtO8FOm2ayqeuONevHF6vWq262VlVpZGU+sTne767+6dpnhq9NZv9YNVxy+NhoedIZHAWf4qeA9/Ha2dpB/k9P/vkCvNzpGrB4Irl2r+Xkn+akh+Km09ofmvMrNM6SfSrcp8ls7+DviTBHBMybdbc+99BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8JPQ71e/P+mdIJF76Sen16vygCi2lFtrt9bwQ6SXLlWjUY8/Pum9IY4z/NbqdqvdrhMn6tNPa/fuOny4jh6tAweq3R5/oHz186geMcdmE/wWGiZ99WodO1Znzoxmtlr1wAP15pt18uQNVul2q9GoZnP04Av4/xjSb6Hh6Xpurt56qxYW6osv6uefa3Gxfv+9duwYLXPtWn30Uc3N1fx8Pfxwtduj+d1uNZvVak1mz9kunOEnammpvv22zpyp11+vBx+sRqPOnavDh+vq1dq7t558svbvr337at++uvfe61b0QCluieAnYfiwqMFgfAKvql6vWq367rt67bX65pvx/F27au/emp+vl16qZ5+9LvXVn534uTmCn6jhL+T7/Wq3R9GurNTSUv32W507VwsL9fnn9eefo4XffrtOnhw9mP7HH2vPnpqZWb811/n4V4K/g3U6tbxc58/Xxx/X11/XqVP10ENVVZcu1fPPV79fx47V0aN16FDdd1/Nza1f3bCfDQR/5xn+Wu6Gl+WHw/4PP6wTJ2p5eTRzx4565pk6cqSeeqrm52vXrnHqLvJzPcHf2da9Sx+WvLRUX31VZ8/WhQt18WItLo6Xf/fdeuWV6vWq0ah//qm77hrNHz5WXvnxBD/NOp364Ye6cKHOn68vv6zl5Tp1qvbvr6q6fLlefbX27KmDB+vQoXrkkdEqq7f0EEnwU2h4kb/fr9nZ8cxff60rV2r37tH1v/ffr+PHq6parXr00XrssXruuTpypA4eHG1B85EEP80Gg9FF/pmZ9QF//32980599ln98sv4z9Dt3Fk7d9YHH9TTT48uBxBG8NvC6u33G9+iX7xYp0/XwkL99FMtLlarVWfP1oEDgs8k+Bh//FGnT9eVK3X8eN1zj1F9JsFvd8OT/3DYTzzBxxhe6quqVsu5PZbgIYjbMCCI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwD3NvAuwuNTVwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-92.47889665181548, -89.24694469604412, -14.653050762896356])</answer>", "action": "('move', [-92.47889665181548, -89.24694469604412, -14.653050762896356])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHqElEQVR4nO3bX49V1R3H4d/eZ8YglNjEVP41SkhvoEglEQLyT0haStr0xjfgvb4d79r4JlSqrSWQGSCQBopAMDF1GKImYDURoghzzvLiDIwCpmlsZoDv81zuffZkDTOfvfdarOlaawVk6Jd6AMDiETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEEfyiaq2GwxqNlnocpOpaa0s9hkS3b1dVDQbVu+WyiPy6LZLxffWrr+r48frkk5qcrMnJ6vsaDWs4LHddFsfEUg8gxXBYExN1/ny98kqtXl2bNo527Kj9B/rNm+/95Dj+rlv8MfL480q/SEaj6vt64416/fXxgTbo6xfPdOvWjHbtqkN/7PfuqeXL772kqrpO/PzfCH4xtFZdV7du1Wuv1V/+XPf/i09M1MqVtXdvHTpU+/a1NWu6p55aODs3V1XV9yb8/FSCXzyjUZ07V++8NZqaqn/P9LOz7ZtvqqqrqsGghsOFD77wmzr4+37PnvarDfXs+u7JJ+dPWOrjJxL80rhypaan26mTow8uDs6dbVev1bj8ycmqO2FXtXVr2ku7+20vjrZs6V7Y2q1aNX/5eJ3PM5//leAX1Wg0PzOfuLNaev1GXThfFy7UqVN17FhdujR/fDBRfbdQ/orltfn5btOm2r69du+u7y/13f0BmurzXwl+aYzLb23+kV5Vw2F9+mnNztbx4/XuX0fHjrbbw8H4VN8v7NXp+1q7tn65brTrpTp4qN+zp5Ytu/crl6U+foTgl9g4+9YWnvlVdfNmffllm57u3nlrdORIu/r54OuvH3DtsmX185XDHTvqD38aHDhQq1fV8hULZ4dz1Sz18UOCf1iMs696QJ+nT9fhw+3o0e7jj+uzz+rmzTae8Hd9tYVduqMXt9bvDvUvv1wbNtTatXV3qW9ubmHC77EfTvAPqQfOzC9frqmpOnGiXbjYXfigXfu8jfdKTkxWVc3NT/hr3brau7d27mibf12bnu9WPTN/3FIfgn8E3P/af/16nT3Tzv2r/fNsf2K6XfpwvvzBoAaDunVr/Kn2s+Vty9Z+86a2bVvbtbvfuHGpvgMeFoJ/lIyX+kajeuKJhSOXZ9rlmTp+snvvvZqebnNz868E3/u//dZ39exz3frnRtu3td8eHOzbt7BYSBTBP5Jaq9GwWpt/mR+7caO++KJOnqy33673/za89p/BnUf9Dy5dsaJ7+uk6erTWr5/fAkgOwT/axq/6rdVg8IPjw2GdPl3vHh69//eaudJfvVrffntnqa+r1atrZmbhNYEcgn98/NgOnNnZOvKPNnVsdPHDwUcf1dWr9eqr9eabiz9Alp7gH1utzW/Cufvwv369zpypqanav7927lzCobFkBP/4u3+pj1iCD3J3P6+/t4sleAjiPg9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BvgPNcqe3dQl4ygAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6da5590b37f4aa0c89a78a85ba9075dbe29dbe0d024657a794614c4b2f375ebb"}
+{"episode": 19801, "episode_seed": 4154920596, "split": "train", "timestamp": "2025-09-15T23:02:14.149220", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4154920596, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.531260804623089, -5.280246832208518, -5.52497999892888])</answer>", "action": "('move', [3.531260804623089, -5.280246832208518, -5.52497999892888])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKGklEQVR4nO3dP49cV/3H8c+dHQcnzoaA18Y2doL/EKdBokUKDQUVBaLOc6BPjyjoeAg0lDwGREOEaECWbON/ZNfegJ2ApbBednfmUtzJuoF4/dNvz83V9/WqZqY6Gu17z5lzz53p+r4PUMNs7AEA7QgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChkPvYASlgus1ik79N1OXFi7NFQWNf3/dhjABoxwx+v5TKzWT78MB9+mBs3cvZsPvggr766mu2hMTP88drfz4kT+elP88tfJsmlS/ntb3P5chaLrK2NPTjqsWl3vIZp/MKFdF3W1nJwkIcPxx4ThQn+eA3BX7+ekyezWOTx41Xw1lWMQvDHawj+2rWcPJnk+QwveEYh+OM1m6Xvc+3a86txQ/DD69CY4I9d3+fkyXzjG6unW1vZ27NjxzgE30Lf5/r11ePNzXzyyepFaEzwx67r0nV5993V083NfPrpqAOiMME38u1vJ0nX5eOPV8Gb4WlP8I0MS/r5PAcH+fvfxx4NVQn+2B1emeu61az+4EGSzLz3NOePrpFTp/L22zk4SJI7d7JYPO8fmhF8I/P58436e/eyszPqaKhK8I3M56t9uyR37giecQi+hWHp/s47STKfZ3Mzz56NOyKKEnw7Q/Bra9nfz/b22KOhJMG3MMzw3/xmkiyXSXLzZhLfgUFrgm9nfT3nz2d/P0n+8pexR0NJgm9hmMlffz1XrqxeuXXLNTlGIPh21tdz+fLqseAZheBbGGb4V15ZBT+b5f797O6OOygqEnwjwxm7Ifi1tezurg7YmudpSfBNnTuXrlv9KMWwUQ8tCb6RYVW/sZGNjSyX6fvcvp2Y4WlL8I0MwZ85s7oan6yCh5YE38hh8OfPr165dSsxw9OW4BvpuiyXOXXq+Qy/vZ3FwtfX0pTg2xk26i9cWD3d2clHH7krnqYE386wqn/rrdV33Tx7tjpgK3iaEXw7Q/AXL+aNN5JkZyf37iWCpyHBtzNM7Bcv5utfT5KDA8HTmuDbOVzSD8EnuXs3ETwNCb6drsv+ftbXnwf/+HH6PvO55mlE8E0NYV+6tHr6j3/k0SNX5mhH8E0Nq/orV1YPPv00m5uJVT2tCL6pYd/u6tXVz8U/eSJ4mhJ8U4cz/GuvJcneXra2ks+/6A6Om+CbOvzZqVdfXb0yBO/bLGlD8E0NN8N/7WurszdJHj3KcmmjnkYEP46rV1cPtrby5IkT9TQi+NaG1fvh78xtb+fJkxGHQy2Cb20I/vB35jY3V8Hbt6OB+dgDKOr69cxm6brs7eXx47FHQxmCb22Y4d95J/N5ZrOsreXhw+TzS/RwrPyVjePMmZw8md3d7O3lT39K3ztgSwtm+HHMZnn//Xz8cc6dyw9+kOUya2tjj4kCut60MpLPPsvrr489CIoR/Jj6Pvv7mc0yt9KiCcGPZnjjHaqlJTPLaKROe3bpoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkPnYA4D/D8tlknRdum7soXypdX3fjz0GoBEzPNPX99nezrNnOX8+r7029mi+1HyGZ/r29vKzn+VHP8qvfrV6xbr1fxA8UzaE/e9/549/zM2b+dvfkmSx8En+fxE807e7mwcPMpvl2rXk8w08/hvBM33/+lceP858ntOnk5jev4Dgmb5bt7JcZmMjGxuJ4L+IXXqmbGh7by9vvZXLl3P27PMX+W9ch2f6Pvssd+5kNsu77+aVV8YezZea4KEQn+GhEMEzcbu7+c1v8vvf55//TBy5eQHBM1lD2/fu5Sc/yfe+l9/9LkkWi3EH9SVnl56Ju3s383kuXMilS0kyM4d9Ee8OkzWcqLt7NwcHWV/PxYuJa3IvIHgm7t69JPnqV3P6tPX8CwmeyRo+w9++nSTnzqXrslya4b+Y4JmsrkvfZ3Mzyeq2GV5E8ExT32dtLU+eZHc3s1kuX07s2L2YN4hpGnbsbt/OX/+a5TLf+lZix+7FHK1lynZ2cuNGPvoo3/9+zp5N32v+iwkeCrGkh0KctGPKbtzIYpGrV3Pq1NhDmQYzPBM07Njt7OSDD/LjH+fXv07cNnMkgmeChra3t3PzZu7fd8Du6ATPZG1v5+nTzGb5znfGHspkCJ4JOpzhP/kkfb86dcMRCJ4JOgz+4CDnzuXNNxOnbo5E8EzN4ema7e0kuX49a2vjjmhCBM8Ezec5OMijR+m6XLmSEyfGHtBkCJ6pGdbzT5/m4cP0fd5+22L+6By8YWqGvL/ylbz/fjY28t57Yw9oSpylh0LM8ExT32exyHKZ+dxt8EdnhodC/Gtkmn7xi1y6lJ//PLu7iYP0RyV4JmUIe28vf/5ztrZy546L8C9F8EzQzk62ttJ1uXYtJ074opujEzwT9OxZ7t9P369+fMLdckcmeCbocIY/c2bsoUyM4Jmg4baZM2dy+nTitpmXIHgmZWj7wYPM57l4UfAvS/BM0B/+kIODvPmmJf3LctKOCfrud/PDH+a997K+nr530u7onLRjmp4+TdfljTfGHsfECJ4JcuH9/8paiAkafhnaXPXyzPBQiBkeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjkP434L5WmNurDAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.531260804623089, -5.280246832208518, -5.52497999892888])</answer>", "action": "('move', [3.531260804623089, -5.280246832208518, -5.52497999892888])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.531260804623089, -5.280246832208518, -5.52497999892888])</answer>", "action": "('move', [3.531260804623089, -5.280246832208518, -5.52497999892888])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHeklEQVR4nO3dS3MU1x3G4X/PyFwiCqiUhAgCJCMRe5Gs+BxeeuFv7KV3DkEIAkYihQyuAoeLNdNZdIcklQKNnKoMJ+/zrLp6dWpKvzmX6Rl1fd8XkGGy7AEA/zuChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCC5//BfL7sETRiZdkDgF+v76vr6uiovvqqNjdre7u++abu3Fn2sD5hgqd5R0f17bfj9R/+WHfujG8E/CdLepq3v19dV2fPVXX973f7qur7ZY/pUyV4GjZM43t71ff17l395uz88iWtf4wlPc27d6+qqp/Xja3JhYuW8h9jhqd5e3fHM/qbW93Fi1VlA/9Bgqd5f747Gy5u3qgLF5Y7lk+d4Gnby5f19GhlMqmq2tqqlRWfyX+M4GnVcBR//37NZt2wht/crKqazSzpP0jwtOpfgq/ZrCaTunKlygb+owRP2/b26vi4qmptrdbXqwT/UYKnVcMMv3dvPLG7elXwJxM8rRqDv9tX9VW1sVEbG0se0qdP8LRqMqn5vJ7+OK3qqmpjo1ZXx808H+K1oUnzeU0mdXhYr38eVvDz312ZV9VsttxxfeoET5OG9fzDh/Xz38Y716/3ZQN/Es/S06T3wb96VVW1ujq5sS34k5nhadIQ/F/252/e9FV1+VJdv96V4E8ieJo0BP/g4XhEf/FS3bhRVU7sTuDloT19X9NpVdVfn02Hv+FLl2p93UO1JxM87RmCf/mynj8f76yvzadTX5s5meBpz7CePzyso6Pxzq0df8kL8TLRqoODMfjJpG7dqnJitwDB055h6f70cP7TT31VnTtXn39eJfgFCJ5WHRzUbNZX1ZkzY/CO6E/kwRvaM4R9cDj2ffZs7exUmeEX4C2RxgxH9L/8UgcH4521y7Pz5x3RL0TwNGY4on/xop48Ge/s3l7icBojeJr0b8F/OS3r+cUInsaMM/yP8x8ez6qrqrq9u9wRtUTwtKavqnr+onv7rltZqaraFfzCnNLTmG5SVfXDk+79Kv62PfzCzPA0ZjKpvq8HD6qqZrO6fHG+tlZlD78YwdOSYQP/9u0Y/Hxet7+YDN+cYxGCpz2vX9fDh+P1zk6dObPMwbRF8LTn9eva3++HNfzujsX8KQie9rx6Vc+e9Z99VlW1s1v1j6U+JxI87Xn0qKomw8Q+PEXPggRPS4bI9/aqqo5ntTI9vrI2LzP8wgRPe4bgZ8e1ea1bveDHak9B8DSm7+v+3jihb+9Mh+BZkOBpTN/XvT8dD9dbN2t1dbnDaYzgacybN7X/aDr8Bsb29vghvCX9ggRPM4aTuceP6927yXRa1fVbW335B5KnIXgac//+OJ93fX91vS9H9Kfh23I0o++r6+q77+r4uKrq/Lnut742c0qCpxnDvv3rr+vatfr++zqedZvX/3mfRXS99RBtGiZ8TsV7I415P0Op/VcQPI3R+X9D8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDk7yCiJFq0Y017AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "38830ca424c6a7288c35fbae08ff2a8a001a015630ec3c02d58980f4eebfddb0"}
+{"episode": 19802, "episode_seed": 1848454567, "split": "train", "timestamp": "2025-09-15T23:02:14.792241", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1848454567, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.32424574244480164, -2.0212350545989692, 56.66080522804208])</answer>", "action": "('move', [0.32424574244480164, -2.0212350545989692, 56.66080522804208])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.32424574244480164, -2.0212350545989692, 56.66080522804208])</answer>", "action": "('move', [0.32424574244480164, -2.0212350545989692, 56.66080522804208])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.32424574244480164, -2.0212350545989692, 56.66080522804208])</answer>", "action": "('move', [0.32424574244480164, -2.0212350545989692, 56.66080522804208])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI0klEQVR4nO3dS6xdZRnH4XetvXeiAmEqlyYMGBgDbaLBiWDaFBAKFBJIrA4UKSAgiSBWYq2gQELCgMYAMiEwMeCAeEEuMUJUSCMqEMGkYkJUILUUBKSFNOey13KwDxAJ14Kcs8//eYZntAbrt793r/N9azd93xeQoV3sCwA+PIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIOnBj8c1Hi/2RcCHZbjYF7CYxuMaDKqq+r6aZrGvBv7/Qlf4vq+qGgzq5pvrmmsWap/8EZax0BW+aerFF2vLlrrpppqd7Y84olm3rrpuYcGH5arp89a1yQB/11118snVNNX39clP9L++rw46qKky27OcJY70k6RPOqk2bqy+70ej2v548/3LF+KHZSxxha9XF/nnn++PPrp//PF2MKjxuPvJrfWFL7Ye4LGMhQZfrzZ/z911xhk1M1tdV4ce3P/ugeaww6oM9ixTiSP9a+bm6rjj62vnjsfjbjiqp3c0l27qJoN96scgy1zuCl9VXVdtW/95sU5cVw/+oYbDmp/rb7iuv+DCdm6uRqPFvj74oEUHX1Xz8zUc1n339aeur70zTfW1YkXdcUetXLnwcQDLSfodPRxW19Xatc0lF3fduBsM6skn+82ba+/eKltxWHbSV/iJrqvZ2Tr22H7btmY4rPn52rq1LrrIlluWG8FXvfrE/tFH65hj6uWXq21rv/3q/vtr1SrNs6ykj/QTTVNdV6tW1VVXVd/XYFC7d9d554zn5xf7yuADJfgFk+Y3bqzTTutnZ2s0qgf/NLj8sr5pSvYsG0b6101Oy/7lsf744/pdz7XtoPb7WP+Ln9fqNc1rB2lhqlnhXzcY1HhcR65srriyGY2qaWr37rrkm/0zO/vJ+g/TTvD/o21rbq6+cmZzyrp+fq6Gw+aRP7dbtzaTf8gbhph2Rvo3muy3+deO+sxR3Y6d7XBYg0H3s582J65rbMVh2rl/36htq+vq4EPqh9e1bVtNUzMz7cXf6Hft6p2fZdoJ/k20bfV9nX56bTyrm5vrh6P62xPt5s2N4Jl2Rvo3N5nen3u2X72m3769nWy/u+222rDBHnummODf0iTsu+6qDRtq797qulqxou69tw4/vPpe80wlt+1bapqam6sTTqizz67xuIajeuqp/ntbeq+4ZXpZ4d/OZCP9Sy/Vscf2Dz00OVfT3XhDnXdBOzlXC9NF8O9gssfut7/pTzqpZuaablwrDu3vvLs58ghf5pk+bth3MBhU39fqNc2mS/rxfD8Y1FNP16Xf6mZmvOWW6SP4dzbZV/udLe3Rn528Iae551d14496x2aZOkb6d2XyZf6Rh/s1q/s9r7RNWx/9SG3b5sA8U8YK/640TY3H9alPNz+4oqq64bBeeaXOP3fhwLzPTKaF4N+tpqm+q3PObdef0szO1HBYv//j4PLLy4F5poiR/j0Yz9dgWI892h9/fD37XNO2deCBdfvttWZNOTDPVLDCvweDYY3HtXJVc8WVzeRczQsv1KZNtWvXwpEbWOIE/94MBjU/X2edVaeeWvPzNRrVww/Xtdf6hXmmg5F+H+3YUUcdVTt3TvbbdXf+svn8CY0n9ixxVvh90fd1yCF1/fU1HE4e2rUXfr1//t+LfVnwTgS/j7qu1q+vjV/t5ub60aie+Hu76dtefcdSZ6TfR5ON9M/s7Neu7bf/tRmNmvn57tYf14YvtZ7Ys2RZ4fdR29Z4XB8/qLn66uaAA5quq6p283dr+3ZP7Fm6BL/v2rZmZ+vkU5ozvzwej/tq6h//bG+5pQz2LFlG+vdl8lj+5T11zOfqiSfq/PPrsstq//1tsGeJEvz7Nfky/8ADtWdPrVu32FcDb0vwHySvxGCJ85amD0bXLfzsLCxlVngIYgCFIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8F2wUseu5I5CsAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b93ffe255283570504e3ca66d6d2ddf50f87b43142531b92012fa4854a048c77"}
+{"episode": 19803, "episode_seed": 433299370, "split": "train", "timestamp": "2025-09-15T23:02:15.432898", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 433299370, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.0697475342446527, -7.590351580920121, -53.983922628438414])</answer>", "action": "('move', [1.0697475342446527, -7.590351580920121, -53.983922628438414])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.0697475342446527, -7.590351580920121, -53.983922628438414])</answer>", "action": "('move', [1.0697475342446527, -7.590351580920121, -53.983922628438414])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJmElEQVR4nO3dz4vcdx3H8dfMZNok1qSmsb+0LE2UHnoQJNRYUCwIgh6keBYs4kXwX/DYq3+GVw8e7KUggr+CPXhISCjEorb51WB1rd3szoyHGXezy6Ra3Gaz83o82MOwWZbvMvOc9+f7Y/IdzGazAB2GB70BwP0jeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieJaYTDKdZjY76O1gvw1mnlWoceSgN4AHzsZGfv/73LqVP/0pX/lKzp3LdJqhteBKEDw7ZrMMBllfz1e/uvjOj3+cc+cymQh+RXga2TEYZDbLqVN5+umMxxmP889/JsloZH9+RQievQaDPPpoNjezuZmbN7O1ZbyvDs8kSzz99OLBu+/m/fcPdFPYV4JniSefXDy4dWuxqrekXw2CZ4mnnlo8uH07//rXgW4K+0rwLLEd/M2biwnPahA8S8yDHw7z978v9uEt6VeD4Flivg9/5Eim06yvH/TWsH8EzxLbR+mT3LqVJIPBQW0L+0nwLHHqVIbDxTL++vVE8KtC8CwxHuexx7K1lQh+tQieXeZhj0Z56qnFhL9xY1E+K0DwLDEe54knFo+vX8/mZuJA/UoQPEuMRjsX2127tgieFSB4lhiNdib8jRuCXx2CZ4nBYOdU/LVr9uFXh+DZa76vPp/ww2E2NnxgbnUInr3uDn5+0H5+Zo4VIHiWe/TRJJlOk+Sddw50U9g/gme548dz9Ohi730evGtvVoDgWe7YsXz604vlvQm/MgTPXvNJfuxYTp9efOfatQPcHPaT4Fnu7uBN+JUheJabL+nnTPiVIXiWe/jhnQn/9tsHuinsH8Gz12CwOBs3n/DDYd57z39luSIEzxLz4B97LPnP7Wjmq3ofmDvsBM89za+9mc0ymThutyIEzz2dOJHhMNNpptPF1bUm/GEneJaYn4o/eTInTybJdGrCrwjBc08nT+5cUW/CrwbBs8R8wp84sZjwce3NqhA893TixGLCJyb8ihA8S2xP+O3gTfjVIHiWm0wyGu0s6dfXM5tl6PVyyHkCWWIwyGSSZGfCb2zkb3/buR0Nh5Tg+TDzi+2SfPBBbtxI7MYfcoJnuflu/HbwGxu5eTMR/CEneJbbDv7o0UTwq0LwfJjTp/OJTyR3Bc+hJniW257wx48nyeamffhVIHiW2xN8Ykm/CgTPcvPgT59eBD8Y5Natg90i9oHgWW5+Kv7YscVBu9ks776bxKn4w+3IQW8AD675xXaPP55HHsl4nKNHs7mZ8Vjwh9hg5tnjHmazDAa5ciVbW3nmmXzykwe9QfzfBA9F7MPzX8xm1vCrwz48/4V7SK4SEx6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCL7YbJbp1G1lqri3HHfZfjG43cyKcqupVltb+elPc/t2vv71fO5zeeihDAZLOp+/Beh/VZjwfeZ3gb5xI+fO5c9/zmCQJ57ICy/kS1/K+fM5cyaf+lROnNgV+eZmkgyHGQwytBt4iAm+z3bw3/1url7NX/+a99/f+ddjx/KjH+XVVzMaJcl772U43HVr+O345z/AoWJJ32c+uh9/PK+9ljffzKVLuXgxV67k8uVcvZq3306S0WjxvvCTn+SNN3LuXM6ezXPP5bnndsU/Z9l/eJjwrea3fb97fX7tWv7yl1y8mBdfzNmzGQxy/XpeeimXLi1+4LOfzdpa1tby/PP58pfz0kv3/M1z3gIePIIvNm9+Os10miNHdsU/H+//+Ed+/vO8/nouXMgf/7jrBN43vpFf/CJbWzlyJJcvZzzOmTP3/y/goxI8Sf4T//xrNNo1nGezbGzk9u1cuJDf/S6//nUuX84rr+TVV3PnTh56KN/+dl57LWtrOX8+L7yQ8+fzzDN55JEcP77rl0wmSRaH/Qz/AyJ4Prr19dy5k1OnMp1mMMjXvpZf/WrX/H/yyXzxi/nmN/P97+fo0Uyne4/t37mT4TBHHEK63wTP/2z+Utmz5z+d5tKlvPFGLl7Mm28uvtbXk+TFF/P66xmPMxjkl7/Mb3+b55/P2bP5/OczHh/Mn1BP8Hx0H3JY/urVXL2at97KH/6QL3whP/hBJpMMBvnOd/Kzn+Xhh7O2ljNn8pnP5FvfyssvLxn+fJysqfjo9qQ+nWYyyWyW8TjPPptnn02S731vccZ+NMpkkrNns7aWt97KlSu5ciVJZrO8/HImE8HfTyY8+2f7sH+yd/98YyMffJB33smFC/nNb3LhQn74w7zyyuI4P/eL4Pl4uBrngeTNlY/HvT6H8yE/wMdP8NwvCn8AOF4CRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4NajAbGVq4yHoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.0697475342446527, -7.590351580920121, -53.983922628438414])</answer>", "action": "('move', [1.0697475342446527, -7.590351580920121, -53.983922628438414])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "74020b2d21ddae54c5521f9bcfee7165f68bc6e4c81e7491aa39cf6be551ee8e"}
+{"episode": 19804, "episode_seed": 3366106923, "split": "train", "timestamp": "2025-09-15T23:02:16.414479", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3366106923, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.96957251712215, 18.618514092577005, -59.738814994147866])</answer>", "action": "('move', [16.96957251712215, 18.618514092577005, -59.738814994147866])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.96957251712215, 18.618514092577005, -59.738814994147866])</answer>", "action": "('move', [16.96957251712215, 18.618514092577005, -59.738814994147866])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.96957251712215, 18.618514092577005, -59.738814994147866])</answer>", "action": "('move', [16.96957251712215, 18.618514092577005, -59.738814994147866])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKj0lEQVR4nO3dy4+ddR3H8c9zZo7T4VIxKgjU2iliDEO9hBJCoUEX4qWoiZHLwhuJazeu/St040IJcSPIooEVt0CbJi1FDJaI1FSDtk2BFrkFWpiZc1ycx46UIHNmhp45/b5eq/bMmZPfYt7ze57f85vnafr9foAaOqMeAHD2CB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQyVEPANa8fj9NkyNH8sgjOX48P/95OuM6Uzb9fn/UY4C1bW4u3W5++cv87GeZnMzLL2f9+lGPaZnG9RcVnD1NkySzs/nYxzI/n2efTZLxnCkFDx9kcAB/xRX51KeS5OmnE8HDuapp0utlw4ZcckmS/PnPox7Q8gkePkjTZH4+ExPZtClJ/vSnxAwP57DBafzVVyfJsWN5881MTIxj84KHJRicxl99daanc+JEO8n3eqMd1DK4Dg9LcDr4bjdTU3nttVEPaJlch4cl6/Xy1FM577x85jO54IJRj2Y5BA/LMth+N26cw8OyjGHtcQ4Pwzl5Mvv356WXct112bhx7OZ5MzwM4803881v5rbb8uijSTI/P+oBDUfwMIyLLsrll2dyMocPj3ooyyF4GMbkZLZuzfx8/vGPJGO3/UbwMKQtW5Lk+efz0kvpdAQP57QvfzlJ/v73HD2ajNmmesHDkg3avvLKdLs5diwvvLD44pgQPAxp/fpccUUWFvL888mYXZAXPAzp/PMzO5skzz2XXm+81u1srYUh9Xp54om88Uauuy4f/eioRzMcwcMK9HrjdQfbcRorrBWnp8mxqj2Ch2U6cSIPP5yDB0c9juEIHoYxmNtPncovfpHbb8/dd496QMMRPAyp18u6dUnyyiv54x8zNzfqAQ1B8DCMwR1smyZXXZUkBw7knXdGPaYhCB6GNFio27QpU1N58cUcOTLqAQ1B8DCkQfAzM9mwIU0zXrepFzwMabCXdvPmXHpp+v0888yoBzQEwcOQmiZzcznvvHz602maPPlkYoaHc97mzen3889/ptcblz+hcRNLGN7gNH7HjkxNZcuWLCyk2x31mJbEXnooxCE9LFevl/n5cTl7HxA8LFenk04nJ0+2t74ZB4KHZRk8Ova3v83HP55vfztzc+n31/5sL3hYgenpnDqVY8dy8GCaZu0/QFrwsCyDhfqtWzM5mRMn8re/JWPwxHjBwwps3pxPfCJvv90G75AezmXd7uINLZO1/1wKwcPKXH99PvnJdLuZm8vkWt/JZuMNrMyLL6ZpcvHFox7HkggeVsOYPCh+rR+BwFo3mDLHofYIHlZqTFIfsGgHhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8q6bfz8JCer1Rj4P35+mxrL75+SSZmBivx66V4GGSrNTgQcknT2bnzjRNbrwxGza0X5qby8REOo4j1wwzPCu1sJCJiRw6lC1bcupUtm7N9u35yldy881Zty5Je5DfNCb80RM8K9XrpdPJb36Tn/4069bl1KkkufDCzM5m27Z8//u5/vp3vX+snqd+rnFIz0p1Oun3c/hwut229iRvvJF9+7JvX+66KzMzufXW3H57Nm1anOcXFtp/K/9sMsOzCvr99Ho5ciT33ps//CGHDuWVV858z9RUbrghd96Z7dtz2WXpdpOk12vPCJznnx2CZ/Xt35/77suePfnLX/L660kyMdH+Ukhy4YX53vdyyy354hdz5ZXtt8zNpdNJp2PC/3AJnlXT77fn54Pp+u238/DD2bUru3dn//72PR/5SObn2/I/97l87WvZvj1f/Wouvrj9hMGKgOw/JIJn9Q0O1Ccn226PHs1TT+Xxx3PffTl8OEk7mZ++XP+lL+Xaa/Pd7+Yb33jX51jeW3WC58My2HiXZPK/S8P/+leefjr33JOdO/PWW2e+f/36bNyYr389P/pRvvCFxddd1VtFgudD1+ul38/ExOJ/X345DzyQ3/0uBw7k3/8+8/1TU5mdzY9/nB07ctllmZ5uX7eNZ+UEz1ly+gftfyfqQ4fy+9/nwQdz8GCOH2+/2um0hwYTE/nWt3Lrrbnmmnz+823q9u2uhOAZjcEK3+npevfuPPRQ9u7N7t1t0t1uuxaQ5JJLsmNHbrop27bls59tv2V+vl0LYOkEzygNzvObpj3gf+217N2bPXty//155pkkaZp0u3nnnfb9s7O59trcfHO+852cf/7ih8Ta3tIIntEbXI3r9drdOEmOHs2zz+b++3PPPe2hfpKmaduens7MTLZtyw9+kJtuetfnRPn/l+BZQwbZnz5Q7/fz6qvZtSt3353HH8/rr5/5x/bT09m4MbfdljvuyMzM4vIe70fwrEWDsP/3/Pz48dx7b3buzF//mqNH2xc7ncVfATfemB/+MDt25PLLz+5Yx4rgWdPeu7Z/4EAeeCB79mTfvrz6avLf6/yDpb677spPftL+iT7vJXjGw+A8v99fzHv37uzd2+7eTdI02bAhu3ZlZqY9L+C9BM+YGdw27/S+3ePH89xzeeyx/OpXueWW/PrX6XbN8O9L8IylM67nJXnhhaxbl4suGuWo1j7BM97O2LfL/yd4zhEuwi+FW1xxjpD6UljKhEIED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoZD/ANBrf5vjX+/WAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b9eefa07b9549e00b3164e10e4c501a69bc8efae84c0135495a98453f39b82a9"}
+{"episode": 19805, "episode_seed": 587659862, "split": "train", "timestamp": "2025-09-15T23:02:17.049206", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 587659862, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.831093786635137, 7.759805512562906, 41.533693397559965])</answer>", "action": "('move', [-9.831093786635137, 7.759805512562906, 41.533693397559965])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKEElEQVR4nO3dz4+dVR3H8c/9UbqQRS1jilARIY1YCKFt2piaMKSRCojGQCBiAhtYUEmI6d9gQtyQuDPiQheahsqGH1pJo0l1VZAU+itShUCESlMbW0Kpnbn3cXEvHXVhZwamdx6/r9dy5k5yFvO+5zznOfc+naZpAtTQnfQAgEtH8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngopD/pATAPTZOmSZKuN2g+lk4z+k+iFZomnc6kB0GLmTHa4Ny5vPlmjh5NpxNv0HwMgl/eBoMk+dWvcscduf/+nD2bRPMsmuDbYHY2r7+ed9/NkSPpdDIcTnpAtJXgl7fRLt3WrVm9OqdP5+DBxAzP4gl+eRvN52vXZmoqg0EOHUpihmfRBN8SGzYkybFjaRo351g0/zrL3ug+3KZNSfLOOzlxIv2+SZ7FEXxLbNyYJO+8k7/8JbGqZ5EEv+yNZvibb06S997L0aOJfTsWydHalli1Kjt3ZvXq3HprkvR6kx4QreRobQs5YMtiWdK3R9NkdjaJ2lk0wbdHp5N+P8ePjw/YwsIJvg1Gl10nTuShh/K1r+X3v08+OmYPCyH49miaHDiQgwfzxz8mPhvPYvinaY8rrsj0dHq9HD6cc+d8VJZFEHwbjE7U9/v54hczGOTVV/P++5MeE60k+JYYHa277rp0uzl2LKdPT3pAtJLgW2J0K+6zn81VV+X8+bz++twPYd4E3xKjtj/3uaxbl15vvG8HCyT4luh0MhhkaipXX53BIPv3T3pAtJKz9C0x2rfr9TI9nb/+Ndu2TXpAtJKz9FCIGb5thsMMBuNjtrBAZngoxKZdq4zOz+/alenpfPvbcz+B+bEsbJXRvt3hw9m3L1dfnZkZC3sWxAzfKqMPzGzcmH4/H3yQQ4c8l4IFEXyrjIK/5ZasWpUzZ/Laa4kvtGQBBN8qo/n885/P1FSGw3Hwtl2ZN8G3zehBFDfdlGT8DbZO1DNvgm+bC8+l6PVy8mROnfJcCuZP8G0zCn7jxgwGOXAgr7ySuIxnvtzUaZtR8Bs2ZOvWrFuXz3xm7odwMU7atdbx41mzxjfbsSCCh0LMDy03M+MCnvkTfGudPp0nnsijj+bIkcSheubFkr6FRs+W+/Ofs25dkjz9dO67L7OzztVzUWb41pqayvR0+v3xE+N7PUfuuCjBt9bll4+/pv7IkfFzKeBiBN9Co2fO9Pu5+eZ0OjlwIKdOTXpMtIPg22m0M/+FL2Q4zNtvj58na0nPxdjmaafRAv6mm/KDH+Saa3LllYnHS3JxdumhEDN8mzVNZmfT6aTXs2nHfJjhoRBXfVCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA/z1TSTHsHHJniYr04nSYbDFpffn/QAYLkbDtPtZv/+dDq55ZasWJEks7PpdtNt24zZtvHCpTWq/f33s3NntmzJww/nxRdz6lT6/XS7mZnJYDDpIS5Ep2nv6gSW3mCQXi+//GUeeijDYf75zyT56lfzrW/ljjty/fVJq2Z7S3r4X0YZ/+lP+fDDJOn30+lk797s3Zsbb8ztt+c738nmzeMXN834On/ZMsPDRTRNTp7MK6/kZz/Lrl3jHbteb7yYv/LKbN6cHTty551zfzIcptNZjvELHuZrdjZvvJEf/Sg//3lOnPiPX61cmS99Kd/9bu69N6tXz71+uS31BQ8X1zRpmrl0//GPPPVUdu/OoUPjpf6FCX/NmuzYkXvuyfr16fWSZGYmvd5yyV7wsACjXEZr9abJ7t3ZvTu/+13+/vckWbEiMzNJsnJlHnww3/hGtm3L5ZcnyczM+Pp/sgQPizEYpNsdB7xvX/bsya5defPNJFmxIoNBhsMkuf323HVXHngga9Yky+DaXvCwSE2TwSCdznjpfuxY9u3Lj3+c/fuTpNsdXwgkWb8+27blscdyww1zf5tMoHzBw8cyyv7C5tyZM3nppTz5ZH7725w7lyTd7ni2//SnMz2dxx/PV76Syy4b/+3oYM8lK1/w8Mn4r+X60aP54Q+zZ0/eeitJOp25E/ibNuV738ttt2Xt2uSjt4xe71JkL3j4JP3XWv1vf8tPf5pf/zp/+MP4HaHXy+xsklx7bR5+ONu3Z8uWSzc8wcOSGC3XR5f3Z8/m2Wfzwgt55pnxbbzLLsv580lyxRW5++58/eu566586lNLflZP8LCEhsMMBuMP2A2H2b8/zz+fn/wk772XJP3+eLZfuTK/+EXuuSezs+kv5Xn35XEaAP5PdbtZsSJNk5mZdLv58pfz/e/n5Zfz1FNZv36u9vPnc/JksvTfsSF4WHKdzjj70Wm8tWvzyCN57bU891y2b8+qVXO/WmqCh0vkwh37Cx+/ufvu/OY32bMn3/xmrrpq/JqlHYNreJiUf9/YuzQEDxM2HI6zdx8e+CS5hodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhfwLQr5P+R/s9WAAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.831093786635137, 7.759805512562906, 41.533693397559965])</answer>", "action": "('move', [-9.831093786635137, 7.759805512562906, 41.533693397559965])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.831093786635137, 7.759805512562906, 41.533693397559965])</answer>", "action": "('move', [-9.831093786635137, 7.759805512562906, 41.533693397559965])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH4UlEQVR4nO3dX28U1x3H4d/ZXRRKS6AQqYQ40CDLURVizB/lFeR95SavK28AEqgJMRhD1QoSQyqhklzE2LvTi9mS3lTx7kXt0fd57mavzsV8PHOOZ+a0rusKyDA66gEA/z+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCH5LZ7KhHwMAJ/vjq897aqi++qM8/r/X1unv3199hCZOjHgD/03Rao1Hdu1dfflmzWY3HdX+zu3mzzWY18oeapThxjq/xuKpqfb0uXarWajrt7m/Ous4VnuUJ/vhqrWazWl2t8+er66qq7TwdtVbjcX8ICxP88dVaTaf1zjt1aeWgqquq58/bjz8KnuUJ/lhrrapqY2NU1arq2bPa3q4qwbMkwR9rffDXro9Onaqqevli9uTxrCzUsyzBH2t98Ddv1smTVa26ajtP29vfYVGCP9ZGo+q6Wlmp82en1a/b7bQ3b0zjWZLgj7uuq66raxvzw+3tevmyWhM8yxD8cddatVa3Phv3h48f1w8/VFm3YymCH4Zbt6qqTpyo16/r+fOjHg2DJfhhWF+vEyfmV/UHD6rK07Usw1lz3PUL8mfO1NpaHRxUVd2/X3t7pvEsQ/DDMJnM7+qravPu7PW/tM4yBD8Mo1HduFHVajKp7Z16/fqoB8QwCX4A+lv3jY2qrhuPazobbT305A3LEPwA9MGvfDD7/e9m+wdVVXe+rvK8HYsT/AD0Yb97ZrS+MZ5Nq6q+uT2zYscSBD8YZ8/W1atVVa3V13e6vnxYiOAHoP8SxmRSn35aVTUe14t/jv/+jyrP27EgwQ9D/z7slY+mrU1nXU2ndefOUY+JARL8MPTT+A9WRhcvjubT+G+qXOFZkOCHoQ/+ww/b6up8af727SrBsyDBD8NoVLNZnTtXV67Mf3n6tPb25i/MwyEJfjAODqq1Wl2dH/70Uz185Il6FiP4wehfj1tbq5Mnq6p+/rnu2YiGBQl+MPpp/NpaXbhQVbW3123endqXgoUIfjD6u/fV1frThfkvW49GrXkxngU4WQZjNKr9/Tp1qlYuTqu6qrb7or16VZOJaTyHJfgh6S/yVz+pfl+K3d3a2qoyjefQBD8ko1G1Vteuj/t9KXZ3Z9uP7EvBAgQ/JP/Zear+cLqqquva48dHOyIGRvBD0r9F89FH9ccz/TW9Pf3b6ODANJ7DEvyQvH3M5pO/zG/inzyp3V2P33BYgh+Y+W5zn036w52d+WfqBc9hCH5g3m4v2VpNJvXqVT17ViV4DkfwA9MHf/36r/tSPHxYZV8KDsdpMkjvvVdXrsym06qqbx/UL794bY5DEfwgtVa3bs1fjP/2r92rV0c7HAZD8IPUWt240apqPKntx/ONaFzh+U2CH54+7Js3q6om43qzP9550spn6jkEwQ/Vny93J0/sH/zX9+0Ez28S/FCdfretb0ymB9VabW7W1GfqOQTBD9Xp03Vto/X/nPvqq25v76gHxBBMjnoALKx/kHYyqY8/rv39ev/9Wltr+/tHPSyGoHXWdgeo66q1+v77+u67uny5zp2rs2drPD7qYXHsCR6CuKUfsK6b/4uuNUv0HIorPASxSg9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/g0Dp2KTvOxFygAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a7061f5cf9e392703aa63df90d843069556f7bf44edfa129341a9249b70ad75f"}
+{"episode": 19806, "episode_seed": 1047597293, "split": "train", "timestamp": "2025-09-15T23:02:17.696262", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1047597293, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.204308542923641, -0.7250117155576109, 43.92755994608009])</answer>", "action": "('move', [9.204308542923641, -0.7250117155576109, 43.92755994608009])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.204308542923641, -0.7250117155576109, 43.92755994608009])</answer>", "action": "('move', [9.204308542923641, -0.7250117155576109, 43.92755994608009])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.204308542923641, -0.7250117155576109, 43.92755994608009])</answer>", "action": "('move', [9.204308542923641, -0.7250117155576109, 43.92755994608009])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c2e4b5cfd82eb9b723ea3232412c89411d88859a2ad6687de9004503f9f0a4cd"}
+{"episode": 19807, "episode_seed": 3379272569, "split": "train", "timestamp": "2025-09-15T23:02:18.687422", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3379272569, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [26.50496905470045, 4.162547254985742, 36.841706042202496])</answer>", "action": "('move', [26.50496905470045, 4.162547254985742, 36.841706042202496])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [26.50496905470045, 4.162547254985742, 36.841706042202496])</answer>", "action": "('move', [26.50496905470045, 4.162547254985742, 36.841706042202496])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [26.50496905470045, 4.162547254985742, 36.841706042202496])</answer>", "action": "('move', [26.50496905470045, 4.162547254985742, 36.841706042202496])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG8klEQVR4nO3bwYtd5R3H4d85994pJk2ya3GrxFqttAu3LUhdjQNS0IUuimKKo7tCiNM2KzGxtRRBGqQ6+hdoLBGqRFyXLnQlZmOLiwbXgeqEufect4uZTqq0xUqbyZ3v8ywvd/FuPvd939+5p2utFZCh3+8FANeP4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIdL8XANfPMNQwfPHDyaQmk/1YzX7oWmv7vQbYZ8NQfV9dt9/r+P+zw3PwtVZdV9vb9erm+Nrr3crXuum0uq5aq75vJ050a2uf++YBZocnxTDU5ct14UKd/tlw5W/XDvGHD9fqap15po7fVlU1jtV1BzZ7wRPns8/q2bPjK6/WJ5/0O22PYx35+njyZPf4E903v1FVtVjU9CAefwVPkH8+sV+6VE8/XW++WZ9+WtNZDYtqrb5123j6F939P+qOHKnFovq++oP1IEvwJBqG3cn8hQt17ly7eLGqutms5vOqGu+7r3tyva2u9XXgtnrBE2ocq7WaTOrKlXr9tXb2bP35L9VPuklf83k7fKgeeKBtbHS3f7urqp1KDsDFXvBE29vAL/+1vfRy/fq52rra9X2Nraq1m29uPznRPbXRHTpUdSDmeYIn3d5WX1WXLtXpnw9/eHty9WqbTrvFoqrq+PE6c6bW1uqmm6q1Gscl/qOO4KHq8/O8378xPver+uOf+qpaWant7aqq1dXaeKp9/wddVc3ntfMkf+kIHq7Z28C353Xut21zsz78sKuqnXnebNIeX2/r6/2d36mqGsflm+ELHr5ob4b/0Ue1uVkvvFBbWzWd1jBUa+3WW+uRH7efnuwPH1q+W73g4V9orRaLms2qqt57v84+M55/o6r6fzy6a9/7bjt1qh56eMm2eMHDv7X3Us18uy6+Uxsbwwcf9FXddLo73r/3h+Ozv+zvuKNWVvZ7rV+O4OE/aW3nHZuqqvm8nv/N+OLv+o8/blXdZLL7i7C5WY8+eu0icCNbsgMJXGddt1t7azWb1amN/t1325Pr47GjbRjadFpHj9Zdd+1+88YnePhSdnpeLOqWW7pzL07On68HH6zFoh57rO6++9op4AbnSA//nXGscajprLa26q236p576tix5ai9BA9fzZK+VCN4+Ip25nmewwM3qCW5eQD/C4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIH8H5LRJ4HkRSWwAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4f24b38dc077aa4d91efeaf99714ed9f5fbac654beacb2371804c3716390f199"}
+{"episode": 19808, "episode_seed": 1425864537, "split": "train", "timestamp": "2025-09-15T23:02:19.331287", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1425864537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.703692541982029, 2.6798105483297046, 44.921637437018376])</answer>", "action": "('move', [-6.703692541982029, 2.6798105483297046, 44.921637437018376])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.703692541982029, 2.6798105483297046, 44.921637437018376])</answer>", "action": "('move', [-6.703692541982029, 2.6798105483297046, 44.921637437018376])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFklEQVR4nO3d72tW5QPH8c+5f2xMsekqMMY0hpLzxywsWvZoPqgwbVhhs0gtLDPJfkBif4NYpKAgTiMSm2hQirWK6JHarKxZJJEtwwdFmatuN3P3Oef74JycxtfyK3y7vc/n/Xokm8KZ23vXdV/nOtcdxHEsAB5ylb4AAP8eggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjB438Rx4rjSl8ELh/B45KFoSQFQaWvA5eP4HEJokjlsvJ5RZHOnpXEOF+lCB6XIJdToaC9e3XnndqyRZKCgOarURDzbcM/6unRunXav1+nT6uhQX19amxUHDO9rzqFSl8ArjBxrDBULidJuZyOHtWqVfrwQw0PS9L06Vq5UtdeK/FivioRPP4UxyqXVSyqUJCkMEzH8MOHNTystjYtXqxly1QsVvpCcfmY0kOSFIYKAuVyGhpSd7cmTNCcOQpD5fPauFFnz2rFCtXWpq/bGdurFsHbO9dwFKmrSzt36v33NWmS+vpUV6coSqf3Uto/qhlTenvJentXlzZvVm9v+sGmJpVKqqtTECgMFUUqFKg9Axjh/UTRyJx8aEhvvKG1a9XXJ0nFotra9MILam9XbS1T9+xhhHcSRQrDdNVteFjFot56Sw8/LEmjRqmtTc88o/nzK3uN+L9ihPdwbgVeUn+/Ghp01VWS9NtvWrpUg4N64gktWJD+TbEsl1kEb+DcDpmTJ7V1q7ZvV2en1qxJF+T6+9XYqJqakYV6ZBfBe/j1V23YoJ07deSIJI0bp+PHNWbMyO+Ccjm9/Y5M43ucXcmjrKdOacsWbdqk48clqa5Oc+dq9WqNGiX9eTcuCKjdBN/mbEm2xyWPteXz2rdPS5bo5ElJamjQnDlas0azZl3wT5jDOyH4rDh/Bf6c0aP1yy+qr1dHh5Yv1+zZ6cd57sUVr+GrXxyn47mko0e1caOWLVNra/oYzOuv65prdNddktKnYkjdGMFnxbFjWr9e+/bpm2/U0aHubtXWjny2XFYQsFUOTOmrX3+/XnxRu3bphx8kaexYTZo00na5LIk1OSQY4atT8iL8u++0fr22bdPAgCSNH6/77tPzz2vixApfXiVEUbpeib/BL/5q1t2tl16SpOZmzZ+vVavU3Fzpa6qA87cRshz59xjhq9O5TXIrVmjGDD3yiKZOHfm4pRMnVCppypRKX8eVjeCrWRiqVFJ9vSQNDyuf96z91Cm9+qq2btXVV2v3bo0b5/x77x8wpa9m+bzq69Pj4o1PnnrlFT33XPrnnh51djKrvyh+DVa5ZCxzXapKpqdz52r0aNXUKAi0dq0GByt9WVcwgq9y3htpktN6brhBTz+ts2dVKOjTT/Xmm5yaf1G8hkd1S6Y4X32l9nb9/LPCUDNm6NChdMDHXzDCo7rlcgpDTZ6spUvTUzaPHNGOHelhfPgLgkcWFApatEgTJqQP+27YoKEhJvb/BcGj6uXzGh7WzJnq6JCkINDnn+u119LBH+cjeGRBPq841vLluu669EHhrVv1++/K5RRFlb64KwnBIwuSsKdN0z33pAfz9fZq1y7lcszqL8AqPTIi+UH+/nu1tqpUUhTp9tu1Zw8b7y7AfwMyIrkJN3GiFi9O3yln/369887IpyBGeGRJcmzniRNqadEffygMdcst+uADjR4tkb0kRnhkSfLqfcIEPfWUwlCFgg4d0t69pD6CER6Zkrxc//przZ6tgYF0493HH6umptJXdmVghEemJMv1zc167LELNt5J3J+TCB7ZE8cqFPTAA2pqSg/AefllnTnDxjuJ4JE9yca71lbde286w0823rG7XgSPTMrllMvp0UfV2KgwVBSpq0ulUvqWPM4IHhmUz6tcVmur5s1L4+/tVXc3s3pW6ZFRyc91f79uvlkDA4pjzZ6tvXs1dqzi2HfjnevXjaxL7r03N2vRonQZ7+BBvf22+z15RnhkWRSlG+/OnFEU6dZb9e67GjNGct14xwiPLEs23q1cqShSsaiPPnIf5BnhkWXJbbljxzRrlk6fTlfyDh1SsWiaPSM8six5Hn7iRD35pMplFQrq60uX6z3vzxE8Mi55VLazU42N6Yl369alG+8METwyLrknP22aFi5MZ/hHjmj7dgVB+lbaVgge2RcEyue1ZImamtKNd5s36/RpxwOwCB7Zd+5Y22TjXRDok0+0Y4fjsbYEDwvJsbbPPquGBkkKQ23bpoEBu931BA8Lyex98mTdf7/iWPm8Dh7Unj12S3fch4eRZOPd1KkaGlIU6bbbtG9furvepHxGeBhJNt49/ni68e7AAfX0VPqa/l2M8DCSjOTffquZMzU0pDDUjTfqwAHV1jLCA1kUx7r++pFjbT/7TLt3G228Y4SHl+Rkyy++0B136McfFceaPt3o/eQZ4eEln1cYasoUPfhguvHuyy/TjXcO9+QJHo4KBT30UPp+8lGkTZs0OGhxABbBw06y8e6mmzRvniTlcjp8WN3dFhvveA0PR8ljc0ePqr1dJ08qjtXSovfe0/jxGX+r2ex+ZcDFJW9Q09KiBQtULisMNWmSSqXsT+kLlb4AoDKS5lev1k8/aeFC3X23xZvMMqWHu8FBjRolKeOT+QTBw1qy9y4M08dmM4/g4c7nyRmxaAf41C6CB6wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkP/SI9c1BSZ4/AAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKcUlEQVR4nO3d3YtdZ8HG4XtPvkyKpoZaK8EaSivY2FIJaGioaapSSYhp1AOJ31DRohRPlPgniOhBhQrS6oktNmhMTBsMiE2CihT8SjVUoyaV+oGlRtvUSmZmz3uwd2eqFl5Nk04m93UdrtmTWTDzy/OsZz9r7cHMzEyADhPzfQLAi0fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETw/C9mZjIzM98nwZkTPP+16ekkGQzm+zw4c4LnvzAcZmoqixZlOMzp00mM8wuU4PkvTExk8eLcf39uvjl33ZUkg4HmF6LBjF8b/68DB/L5z+eHP8zTT2fVqhw5ktWrMzNjer/gLJ7vE+A8MzOT6elMTCTJxEQeeSS3356DBzM5mSSvf30+/vG84hWJi/kFSfA8a2YmU1NZsiSLFyfJ9PR4DP/pTzM5mfXr84EP5NZbs2TJfJ8oZ86UniTJ9HQGg0xM5Jlnct99ufzy3HRTpqezaFHuvDOnT+e227Js2fi63di+YAm+3mzDw2Huvju7duW7382VV+bIkSxfnuFwPL1Pxv2zkJnS1xutt999d7785Tz00Pjgq1+dU6eyfHkGg0xPZzjM4sVqvwAY4fsMh3Nz8meeye7d+dzncuRIkixZkvXr85nPZNOmLFtm6n7hMcI3GQ4zPT1edZuczJIl+fa38/73J8mKFVm/Pp/8ZLZund9z5JwywneYXYFPcvx4Vq3Ky16WJE8+mQ99KP/4Rz72sWzfPn5lLMtdsARfYHaHzBNP5CtfyT335D3vyc6d4wW548ezenWWLp1bqOfCJfgOf/97vvjF7NqVhx9Okpe/PI8+mpe+dO7/gqmp8dvvXND8ji9co1tZT57MXXflS1/Ko48myfLl2bw5n/50VqxInn03bjBQewm/5gvLaHvc6La2RYuyf38++ME88USSrFqVm27Kzp1Zt+5fvsUcvongLxTPXYGfddFF+etfs3Jltm3LRz+a668fH3ffSyvX8AvfzMx4PE/yyCO5887cemuuvXZ8G8zXv55LLsnb355kfFfMC0h9dJVgTrBwCf5C8dvf5o47sn9/fvObbNuW++7LsmVzX52aymBw1rfKeQtvwTGlX/iOH88XvpBvfCN//nOSXHxxrrxyru2pqSQvfE1utI9+16786lf5yEfyyldmMBinPhyOh33ln/+M8AvT6CL8xInccUe++tX87W9Jctllede78qlP5TWvORc/7Z//zLvfnQceyIoV2bAhO3Zk48ZcdlmWLx+/bHIyExPKP68JfmEaJfjZz2bnziS54ops3Zrbb88VV5yLnzZ6k/7gwWzenKmp8ba9JC95STZvzpYtWbcua9fO3Uc/WlJwqX8eEvzCNLtJ7rbbcs01+fCHc/XVc8fPttF8/tChfOIT+cUvxgeXLs3UVIbDJLn00rzlLdmwIRs25Lrrxi+YmhqP9gb884fgF7Lp6Zw6lZUrk2Ry8lyPqsNhfv/7/PznOXQoe/fmd79LMt6zM3r+VZI1a3Lttbnxxmzb9u+zDSt85wPBL3yjx8W/uDerP/ZYjh7N7t3ZvTuPPz4+OPsk28Egq1fn6quzfXve+c5ceuncN45mBIb9+SL4BW60MfbFqmc4HD8LY9ZTT+XQodx7b773vZw8OX5o/azBICtWZOPG7NiRTZtyySVZunT8JSt880Lw/M9m/2Se2+qpU9m3L3v35siRHDs2XtWbmJj7cKqLLsrWrXnHO3LddbnqKit880PwvFD/tv3uT3/Kd76Tw4fz0EM5enR88LkrfK96VW6+OTfckDe9KWvXjl8w2hlkwD/XBM/ZMdrgOxzObec/diw//nEOH87+/eNb9QaDLFkyN+2/6qq84Q3ZuDFbtsxtHXje6QNni+A5y0Z38UxMjJcRZ2Zy/Hgefjh79mTPnvEWoSQTE+MBf2Iia9Zk7dps355t27Jq1dw/NZo7WOE7iwTPOTFq9bkrfNPTOXkyhw/n3nvz4IN58snxdf6sRYuycmXe/Oa8973ZtCkXX/wv+4NN+M8KwXNuzS7aPXdZ7uTJ7N2bb30rv/xlTpyY+xzq2T/GlStzyy255ZZcc03WrBmXb4XvhRM8L57/vD5/7LHcf38OHsxPfpJjx8YHly7N5OT4xatXZ8uW3Hhj1q3La1/7op/xBUfwzI/Rs3lmJ/xHj+ZHP8oPfpADB/KHPyTPfkT17Arf616XN74xN9yQt70tl18+P+d8ARA882m0wjf7TL3hML/+dX72s+zbl3378tRTybPb8mZX+K6/PgcP+hScMyR45t9/vqV3+nQefzzf/37uuScPPpinn567HNixI1/7mtW7MyR4ziPPu8L3l79kz55885s5ejR//GMOHMhb3+qpfGdI8JyPnvfWuhMn8sADed/7snKl4M+Q4FkARk/Rct3+wgmeBWN0nb9okbH9zAkeitiyBEUED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+D0GZsc2nPf/yAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.703692541982029, 2.6798105483297046, 44.921637437018376])</answer>", "action": "('move', [-6.703692541982029, 2.6798105483297046, 44.921637437018376])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "28afa5c081b61defaeb901b726ec0b5f39856d337ad630936e7e0c39171a05e8"}
+{"episode": 19809, "episode_seed": 1008068549, "split": "train", "timestamp": "2025-09-15T23:02:19.965032", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1008068549, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.635261144254025, -0.5888450951843822, -53.67207059850269])</answer>", "action": "('move', [4.635261144254025, -0.5888450951843822, -53.67207059850269])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.635261144254025, -0.5888450951843822, -53.67207059850269])</answer>", "action": "('move', [4.635261144254025, -0.5888450951843822, -53.67207059850269])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI60lEQVR4nO3dzauc1QHH8d/MvVFrGk3SGIxNEQSL/0BLi1i6KIKIoKIbQaoIQgsWseCqi1oESxf9A1roQneh4sJNEYTWteDbQlwoKCY2KiK+JTeZO9PF82iwSFual3lyf5/P4jIM4c6By3fOec55ZjJbrVYBOszXPQDgwhE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FNlc9wD4T1arrFaZzZKMP+FszFar1brHAFwgZvhJO3EiH3+c3btz+eXZ9LfirLmGn6jFIkn+8Y/cemvuuSe/+EXeemvdY+LiZ9aYqOFK65138tJLeemlJHnoofF5F/P83wQ/URsbSfLRR9nYyMZGLrss112X2Lrj7FjST9Fqlfk8SY4fz/Z2Tp3Kt76Vb3973cPi4if46drayvHj4+PvfnetQ2GnEPx0ff75meAPH17rUNgpBD9Fw47diRP54IPxmWuuWeNw2DkEP11ffJH33x8fW9JzTgh+ur74Ih98MG7XC55zQvDT9emnWS6/FrzboDlLgp+uYT0/HLzbtOOcEPwUDYfwR48myXKZzc3s27feEbFDCH663nsvSRaLHDjgkzOcG4KfqO3tHDuWJKtVrrkml1yy7gGxIwh+ohaLMfjkYgh+uRw/38e0CX6iTp8+E/yhQ2PwE/3kzGKR+Tybm04Rpk/wkzNUs1jk6NFx9+7QofFwbnJWq3FT8e238+yzU31D4gzBT9TJk/n447HzQ4fWPZpvNHw0fz7Pk0/m9ttz99157rkk1vZTJviJ+uc/ky/X8MON9Nvb6xzPv1suM5vlxRdzyy154IG8/HK2tvLqq+seFv+F4Cfq3XeTL5f3UzmEX62yWIxjms/zxz/mJz/J3/6WxSI33pgXXshDD40rfKbK32aihrtuFotcdtk0vvpiezuz2Rjzcpn5PIcPZ2sr11+fhx/OL3+57vHxPxH8RA3Br1Y5eDC7dydr3KIfJvZdu5LkmWfy4x/n6quzWuWWW/KXv+SnP821147Tvk27ybOkn6gh+CRXXTUGvx7DztyuXXnxxdx/f+68M088ka2tJNmzJz//ea69dpz81X4xMMNP1FeH8AcOrHWGn83y6ad54ok8+eT4JvTaazl1KpdemuVyXNtP9MyQbyD4iRo27ZIcPLi+a/jt7Rw5ksceyxtvJMnVV+fRR3Pffdm9e/yezbkV4kVG8JMzm2W5PPNtdgcPXsB72JbLcQSzWd56Kw8+mOefT5Irr8wdd+R3v8v3vndBxsH5IvhpGS6ZP/wwp05lPs9ymQMHkpzZNTuPtrfHxflwxv7hh/n735Pk5pvz61/n5pu/NkQuToKflqGm9947c+D9ne9ckFcdvlvn+PGcPp3Dh7Na5Yc/zJ//nPffz6OPZjbLYpGNDZtzFzvBT9HRo9neHuMf7ro5X5UNrzGbZWMjf/1rHn88N9yQP/0pe/Zktcr994//ZrFwO83OYNNlWoZZfZjhk+zZcz5vsxuW7klefz133ZV7780rr+TIkbz8cmazcdofbuhV+04h+Ck6dmwMbe/e8znDz+c5fjy//W1+9KM8/XROnswPfpBnn82NN57ZhB+W8ewU3rmnZZjhjx0bH3wV/Ll8gWH2PnEiR47k978fj9yuvz4PPJBHHsmuXbbldjDBT9FXd91ceWX2709yjg68hzX80PPJk3n88bz5Zq64Ivfem1/9Kt//flYrte9sgp+WYWL/6j+c2bt33D47N4a3jeGwff/+/OEPeeqpPPJIbropSU6fzuam2nc21/ATslplczOnTuWzz8Zn9u7NfJ7F4uwyHN4wtrbym9/kZz/LO++MN/fcdlueeio33TRuzu3apfYdb7byPWQTM1xfD5t2l1ySSy89d7/3k09y+nT27fva3e/b25nPpV5C8N1csZexpO+m9jKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyL/AkOku7THDGL2AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.635261144254025, -0.5888450951843822, -53.67207059850269])</answer>", "action": "('move', [4.635261144254025, -0.5888450951843822, -53.67207059850269])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHfElEQVR4nO3bzaumZQHH8d99n+dMM260FxFMMIhIMLeZO6OVUxm4MHWXYZt8SXrRskElRjEMlCbNLEokmVWa2apc9CKKLQQVCqVWDSE0hhSG5zzPfbc4h4MWmlZ0Zub3+fwF1+L5PtfLfV3DPM8BOoy7PQDg/0fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETw/A/Mc6ZptwfBmyB4/lurVZKM43b287zbA+L1CZ7/3DxnczNraxmG/PIX87XX5umnMwzbfwEcgxa7PQCOV9OUYcj6ep57Lvd8e7733vz1b1mtcscdGYbMc4Zht4fIvxhmKzDeonnOPGccs7mZb965+u73xt/+LsMw7NmT5TIPP5z9+zNNGS0fjz1meN6CrYyHIcOQR34yHfxanvjNmAx79mRjI6+8Mn/soznrrCExvR+jzPC8KfOcaZW1RZI8/3wOHMiDD2ZjI4tFlsskef/7VrfcuvbxC7O+vrsj5Y0Inn9vucxikSRHjuS++3LwYF5+eftYfp7nM84YPn35dN314759Sezej2mC543Mc1arLBbZeCWHD8+3fyPPPDNsndVtbGTv3lxy8eoLXxrPPnuI1I8Hgud17QT885/Nd945P/LTYWe7nuSCC3LllfP+/UNetQTgGCd4/tnWL2Ir9T8eyc0Hph89NLz4l6wthtUySc48MzfemIsuysknb39yX1vbveHyVvhb5jVWq+16//5y7r5ruv32+U8vjMkwrmW1zElvW332yuHzXxxPOy1JlsvtWzccL8zwbJumzFPWFtnYyKOP5oYbpqeeGpMs1rPczN6980c+PN9623jOOclrVwEcRwRPkmxubn9Oe/LJHDqU++9PkvX1bG4mmc49d/zc1fMll22fzEXqxy3Bt9sJ+MiR+VuH5nu+M774YhaLrfP5+Yx356qr5iuuGN7+jmFaZRilfnyzh++1dQi/FfDdd8133Z1nnx2SrC+yuUySq6/OZ67I2R8Y4xz+RGGGb7T17mUr9V/9Ol+5bnr8iXE1bW/Xk5x/fg4ezHnnZRiyXGYcXYw/QQi+y85FmiS//0NuOzh9/wdZTuPODdn3vmf68g351OXjVuE7h/acGARfZLXKMGQc88ILeeCH8y23zH8+Om71vFrl9NOnSy/JVw+Mp5ySOJw7QdmWtdjZhB8+nEOH8thjScadc/jLLh2vuWb44LlDXvUkjhOPGb7I44/PX78tD/14SHZeuU3nfWi4/rpc+IkhQzY3s1hI/UQm+ApHj+bmm6cHHhiOHk0ybNV+6qm56ab5kxfnne8aYrveQfAVpikvvZR5zr5927ff5zlraznppCRZrazhWwi+nTetVXxdbaf2KoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8AkCKDd2W8v9kAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "035bf55dd63d6116868bc8ed884196e509b30254b0b1ed23bc82c268b94ddc92"}
+{"episode": 19810, "episode_seed": 3405015244, "split": "train", "timestamp": "2025-09-15T23:02:20.604692", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3405015244, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.13534330940812, -3.59307265787618, -20.064792142008212])</answer>", "action": "('move', [-4.13534330940812, -3.59307265787618, -20.064792142008212])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.13534330940812, -3.59307265787618, -20.064792142008212])</answer>", "action": "('move', [-4.13534330940812, -3.59307265787618, -20.064792142008212])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.13534330940812, -3.59307265787618, -20.064792142008212])</answer>", "action": "('move', [-4.13534330940812, -3.59307265787618, -20.064792142008212])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKbUlEQVR4nO3dTagd5R3H8d85995otb5EaAmiceNLAiFRU1NB42tExIWIOxcWaSmStUihG3HjQlrB0kVLoRW7qStFXBkTDYix9QVD4muCN8VaG4IG0jSJ954zXcwk0XptLYgnZ/6fD9lkVg+c+fLMPDPz3EHTNAFqGE56AMC3R/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwVTRNmmbSg2DSZic9AL4lg8GkR8ApwAxfwmiU7dvzzjs5ejSj0aRHw+QIvoSFhdxzT1avzpo1efxx1/Z1Cb6EPXuyb1/m5rJ3bz79NIOB5osSfM+1YW/dmsEgo1GWLcuGDUkyHk92XEyG4HuuDf7559M0GY9z2WVZuTKxhleV4PusaTIc5tixvPZad2T9+lx4YZpG8EUJvs/a6f3ll3PwYFf4unUZDrO4KPiiBN9no1GaJlu35l//StNk+fKsXZu4ni9M8H02GGQwyCuvdFP9xRfniiuSZOhnr8ov31vjcWZn89FHmZ/vjlx6aZYvz8KC4Ovyy/dW++Btx4787W9JMjOTq67y+L06wfdWG/yrr+bw4SQ577xcd10GA9N7aX78fmqazM1lYSG7d3dHVqzI5Zd3D+ooy4/fT+2T9vfey65d3ZErr+xetrNEX5ng+6m9nn/33ezbl+Eww2FuvjmxPl+e37+HTly3v/lmN6XPzeXGGxPBl+f376fhMAcP5pVXkmQ0yurVueCCSY+JU4Dge6h99vbxx/nLX7p3b9rreRB8D7XLcu+/n08+ybJlaZps2jTpMXFqEHwPDQYZj7N9ewaDLCzkrLOybl0Sb90g+N5pqz56NNu2dd/AX311zjln0sPi1CD4fjpwIG+8kbm5JLnhhpxxRuIjOQTfV9u3d4/iB4P88IdJbFZLIvi+2rIlSRYWsnJlLrooMb2TRPD90+5Iu317998NGzyB5yTB90q7YrdrVz7+uHupbv36nH56Fhe9Y0ci+J4Zj9M02bIln32W8Tjf+U7WrPE0jpME3yvtR3Ivvtgt0V1ySdas8Q08JzkR+mM8zsxMDh/Ou+92R1atykUX+SSWkwTfH+30/vLL+cc/kmQw6F6wEzwnCL4/2sv4HTty8GCSnHtu9wR+ZmaCg+LUIvieaJou7J07u1W6FSty9dX2tOILnAs90QY/P5933umOrFqVM8/0R2b4AsH3RHs9v2tX9uzpluWvvz6xxQ1f5HToiTbsXbty5EiSnH569w286Z3PE3wftNfzR47k9de7/65YkdWr3cDzn5wOfdCu0n34Yf785+7IdddJnSU4KfqgDX5+Pvv2dd/A33LLZEfEKUrwfTAzk6bp9qhtmszO5tprJz0mTkmCn3rt9H7kSF58MUkWF7NuXb73vckOilOU4Hvi4MHs2NG9e3PTTTnttMQSPV8i+KnXVv3mm/nnP7vgN27McOirWJYg+J7YsqXblPq883LJJYlNqVmK4Hti27YkaZps2JDzz09cz7OU2UkPgG/Anj15443MznZ71J59tumdpZnhp1sb9v79Wb8+i4tZWMjatUl8M8PSBo25YPotLOSjj7J3b/bty6ZNufDCjMfetGMJgodC3MP3RLtfrf0q+e/M8FCI6QAKETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRCfx/4/TnxZaDcZppMZ/msbjzMYdP98U8x0EvzXNhzmhRfyy1/m8OHELtBMJZf0X0Pb9oEDuffezM/nyJH8/OcZjxPX9kwZM/zX0O4ddf/9mZ/P97+fVau642pn2gj+f1lczHCYP/whf/xjkvzkJ7nrLrtAM6XsafdfjUaZmcl77+XWWzM/n40b8/zzmZvr5nyYNmb4r9ZWfexYHngg8/NZvjyPPZa5uW65HqaQ4L9C06RpMh7nkUfy7LNJ8uCDufzyNI2NoJlezt2v1oZ99GgWF3PHHdm82dzOtHMP/xXaGb69pH/qqfzgB7n4YrfuTDvBL2XJv8ymdqafS/ovaWt/6aVs3Zocn+rjqTt9IPgvav9E2/79ue++bNqUX/86g0H3Uh1MP8F/ycxMHn44b72Vubl897uTHg18kwT/Oe1LdU8/nd/8JuNxNm/Oj36UpsnMzKRHBt8Mi3bHtY/c/vrX3H57du/OFVdk27acfbZbd/rEDH/ccJjBIA89lN27c9ZZ+dWvcs45kx4TfMMEn+T4B7C//W1+//skeeCBXHONtTr6R/BJjj9y27o1TZMbb8zmzRmNTh6HvnAPn5OP2f/+9/zpT7nqqlxzTfedHPRL+eBPvD/3+RfpvFRHT9W+pG/D/uCDvP12tzWll+rotcLBt2tyhw7l7rtzww157jmd03tVN7E8MZM/+mh27EiSDz6Y7IjgW1D1Hr69mH/ppdx2Ww4dyo9/nN/9zq07vVc1+CSHDuXaa7NzZ9auzTPPZOXKpb+KhR4peX63d+8/+1l27syyZXnwwaxcmYUFtdN79U7x0SjDYZ58Mk88kcEgmzfnzjszGmW26nIGlRS7pD+xcdXNN2fbtlx5ZZ57Luee2/3FOOi7YsG3xuPs3Jlf/CI//Wk2brRWRx0lg28dO5bTTlM7pVQNvn1VXu0UUzX4eGGeiuqt0p+gduopHDzUI3goRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KOTfHUd+Dd/mEK8AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHyUlEQVR4nO3d36vkdR3H8fdn5pwhTVCxRbww0oUwtjuDTthutHRzDsiiXpWYW5KJuELoIhihFGgGkX9AZEEEGkRZeOGv1TS9EPTGjBB3WfUmYXezUNszZ76fLuaEFJpKP5aZ1+PB/AHfc/H8vt/zmZnzbb33AjKMTvUFAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggv9gej/VVwD/AcF/MK1VyZ6FJfj3q/c6ebIOHarjx7ezh4Uj+Pel92qtHn6o791b+/bVM8/U5mYNw6m+LPiAWreevg/DUH96rS5Z60eOtqo688x67rm64ILtGwEsChP+vfVeo1Hd/I3hyNG2slpV/Utf7Oedp3YWjwn/Hra2amWlfvTD4Zqv1WQy2pzWpy7uDzxQO3a0YaiRGyYLRfD/zmxW43E9/3xtbPRXX21V9eHT+7331cZGm98IYLGYUO9qGKq1mk7r1luHV16pyaR67zdcP2xstOlU7SwkE/5dbW3VeFw/+P5w08Eaj0ezWa2t9YcfbqefXlXevbOQBP/O5gdyzz5b6+v92LFWVR+aDI8/0S6+uDmrY3FZ6d/BPOm33qoDB+q111prNZv1b3+nq51FJ/h3MF967rijnnqqVldra6suvbRuuHE8f1cPi8tK/6/mJ/OHDtX6ek2nNQx17rn1yCO1a1f5HI5F56z5n8xm1VodO9YP3NBPnhxNJtVa3Xln7dq1fSOAhWZgva337de3vlm/f2E0HtfmZl1xeb/yyprNzHaWgZX+bfMZ/stf9KuurpMn23TaP3b+8PgT4/M/WsNgvLMMBL9t/v78yJH+hc8Ph4+OxuNWVT+/r192ebPMszTsqW+bDXX77e3w0fFk0mazfu21g9pZMiZ81T/G+09+3Pd/pa+sjLa2atdFsyefHp11lg/eWSqC3/6azYsv1mc+PTv+5/HKSp12Wr//1+1ze/wAlmWTvtLPj+Wn0zpwoB87MR6NajrtNx7on72kZrNTfXHw35Ye/PzztrvvrgcfbJNJzWZ9z+665ZbWWs1fsEyiV/r5b9qffLL27asTJ6q1+sg59av7a23N12xYTrkTvvcaj+uvf6nbbuvHj9fqag1D3Xyw1tZqOlU7yyk6+FZ113eHRx+tldXa3Kz19Tp4sHqv1dVTfXHwvxG60s+P3x97rDbW++a09V47zum/e7pdeGGVf27B8kqc8PPaX3+9rr+uv/W3VlXDMLvre33nziq1s9QSg58/QOLgTcMf/jg/ma/9+0dX7x95sARLL26lnx+/33tvffmqmg01m9VFH++/eaDt3OlknuWXFfwwq9G4Xn65793bDx9uK6ttPBp+9tO67IqRfztNgqCVfv6lujffrFsO9pdeaqNRm27WNV+ty64YDYPaiZAy4ed/ZWt1zz319euqek2n9clPDId+Ozr77BqNnNURISj41uqFF2r37u3nPU8m9dCDffceT4wiSErwc9NpvfFGraxs93/GGX4PR5as4CGcXRaCCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/B2sHcrlkC23SwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0d61880cb5fd67dd6802c21951d526653b520216560d72a333949ca6e76cad16"}
+{"episode": 19811, "episode_seed": 1383854072, "split": "train", "timestamp": "2025-09-15T23:02:21.588788", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1383854072, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [66.48473218666705, -118.49400958210494, -47.02902307016968])</answer>", "action": "('move', [66.48473218666705, -118.49400958210494, -47.02902307016968])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [66.48473218666705, -118.49400958210494, -47.02902307016968])</answer>", "action": "('move', [66.48473218666705, -118.49400958210494, -47.02902307016968])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [66.48473218666705, -118.49400958210494, -47.02902307016968])</answer>", "action": "('move', [66.48473218666705, -118.49400958210494, -47.02902307016968])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALNUlEQVR4nO3dS4wU1QLG8a+qe3ipASMTxAnIoCIiIiIigyFgosQYUUxIiIkudGGCujImboyJGwlsNWjiMy5cudQgs1CehscIGRkDDKBBxYgIMo7gMNNVdRdVgXv1cu3uaW9X9ff/raBXlZn59zmnHqeCJEkEwEPY7AMA8P9D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0bKzT4AFEySKI4VxyqVFDJeFE2QJEmzjwGFkf6xBEGzjwP1YoRHtZJEQaBKRXv36ssvtXixFi5UHDPOFwnBoypRpFJJBw9q7Vr19enMGb3wghYuVBQRfJEQPKqSTuOnTtXp0zp9WpJ6e7MxHwXClzOqEoYaGdGkSbr9dgWBgkDff6/jx1UuK46bfXCoGsGjWulgvmiRwlBJouPH1dsrieCLhOBRrXStvnixJk6UpPPndeCARPCFQvCoVhgqjnXHHZo0SZKCQH19qlTU1iau7RYFwaMGSaK2Ni1YkP27r0/ffacgIPjCIHjUIF3GL1uWnbfr79c330jM6ouD4FGDNPjly5UkKpU0MqKDBy99jvwjeNQgDXv2bHV0KIokae9eXbigUolZfTEQPGpWKmnp0qzw3buz+3BQCASPmgWBli+XpDFjdOSITp6UxAhfDASP2qRhd3VlJ+eTRLt3S+KO+mLgt4R6XHutZs7UyIgk7djBWfrCIHjUJj1vd/XVWrIk+++WLRoebu5BoVoEj5rFsdratHixJJXLOnFCx45JLOOLgOBRszTsW29VECiKskEehUDwqFk6q58+XXPmKI6VJFnwjPD5R/CoWXp+vqND8+dn8ff0aGSE++0KgOBRs3RnuzFjNHduNqqfOaMDBxQEnK7PO4JHPdLBfM4cTZggSefOaccOiadoco/gUY/0NpvbblNnpyRFkb74QmIZn3sEj3qk5+c7O7PgJR05oqEhNsPIO4JHPdLgJc2bl31y4oT275eY1ecbwaNO6az+rrt0xRWS9Msv2rdPIvh8I3jUKQ2+q0vXXCNJUZTtacmOV3lG8KhTGCqKNGWKpk3LPjl0SGfOqFwm+PwieIzWPfdk/zh0SEeOSJyrzzGCR/0u7mlZLqtU0smT6u+XCD7HCB71S4Pv6tL48VnkX32VvToe+UTwqN/FZ+Pnzs1Ozvf06OxZ7rHNL4LHaCWJ7r1XkoJAe/ZkW9whnwgeo5K+MXrZMklqa9P58zp6tNnHhMsjeDTAvHkaNy67927nTiUJe1rmFL8WNMBVV2nJkiz4bdt04UKzDwiXQfAYlfS83YQJ2dX4Ukn79+vXXyUuzuUSwWO00m3tFi2SpFJJQ0PZTfXIIYLHaKWDfGenJk/ONrr6/PNmHxMug+AxWmnwHR1asCB7F83Wrc0+JlwGwaMB4liTJmn+fEnZe+NPneKxuTwieIzWxc0w5s7NRvuhIW3fLvFsfP4QPBogveo+e7amTlWSaHg429OSET5vCB4NkAZ/yy2aNUtBoCBQT48kdqrPHYJHAwSBhod15ZWaNUuSkkSHD6u/X6USs/p8IXg0RjqYz5unJNHEiers1KlTErP6nAkSfiFohDhWGKq/X93duuEGLVqU7XWHXCF4/FPSB+mQK+VmHwBaShxnd9qGIQ/M5REjPGCEL2HACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCRytKElUqvATjr9i1Fi2NzfH/EyM8WkuSKEn08896/30ND/OS+j8heLScINCGDXryST3zjE6flnjB3SUEjxaSTuC3bNHGjZIUhho/ntr/HWt4tJY//tDdd+vAAd15pzZtUnt79ppLSOLdcmgR6dJ9ZETPP6++Po0dq5deUnu7KhWV+SO/hG8+tIog0OCgvv5aSaKnntKqVYoiav8TpvRoFenU/dtv9d57eu45TZ6sIOCa3J8QPFoIV93/DhMetIQfflAQqKNDUSQpe0M9/oIfCoosSRTH+u03PfKIli7V7t0qlSRR++Xwc0HBhaE2bNC+ffrxRx071uyjyTvW8Cis9Czd9u1asUJDQ3r6ab3xhpJEYchK/nIIHsWUXnj//Xfdf7/27NGNN2rrVk2dqjjOZvX4b5jSo5iiSGGo9evV06Nx47Runa67jtr/FsGjgKJIpZI+/VRvvaU41mOPafXq7EP8TwSPokkSlUqKY73zjk6d0syZWr9e4sx8VbgOj2IKQ61dq8FBPfus2tu55aZKnLRDMaWFnzun8eO5hbZ6BI+iufi4K4v22rHsQXGkt82+/LJWrtTRoyqVFEXsb1ET1vAoiHQ837VLr7+ugQFNmaK332bpXium9CiCOFYca3BQK1dq5051duqzz3T99dl9dagaPywURLmsjRu1a5ckvfqqZsyg9jowwiP30sn8nj1asUIDA3riCX3wATvV1YfgkW/pKn1gQGvWaPNmzZihrVs1bZokVu914DsSRfDuu9q8WWPHat06TZ+uOKb2+nCWHvmWht3erptvVleXVq1iMj8aTOmRY+kzsGnehw9rzBh1dhL8aBA8iuDi9vJceB8dvimRS+lNddu2acMGDQyoXFYUsXQfPUZ45E8a9vCwHn5Y3d168EF98kmzj6lFMMIjf9JB6LXX1N0tSatXN/dwWgkjPHImXaX39uqBB/TTT1qzRh9+qDBk9d4QBI88Sf8aKxU99JC6uzVzpjZt0qxZnJlvFH6IyJkg0JtvZpP5F1/UTTepUqH2RmGER26kw3hPj+67T4ODevRRffRRdgKPyXyD8MWJ3EjHnp4eRZEmT9Yrr2SfU3vjMMIjfz7+WGfP6vHHWbo3HMEjZy7uVEft/wCCR/5UKpKye2nRUAQPGGHKBBgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8i/n0NS7hG6x9gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bfe12322909e4afacb104eab5a6349745f4d9f9d41485bb986beba922839f4fe"}
+{"episode": 19812, "episode_seed": 3121306806, "split": "train", "timestamp": "2025-09-15T23:02:22.232378", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3121306806, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.2360113898728855, -8.06100790855898, 51.0279556052875])</answer>", "action": "('move', [-5.2360113898728855, -8.06100790855898, 51.0279556052875])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.2360113898728855, -8.06100790855898, 51.0279556052875])</answer>", "action": "('move', [-5.2360113898728855, -8.06100790855898, 51.0279556052875])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKC0lEQVR4nO3dX+jddeHH8dc557s2LVgzIkMhk7rwxgiDjApUCDOJqFlGuZa4YqRdzKJBtBIp+yOJGZRmOdZaVOb6Q0K7yrLuMiIiykB0tYvhRYMst77fc04X5+h+ir+fOuX33fe8Ho/b7/fizZfz3PvP5/3ZGUyn0wAdhqs9AOD/j+ChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOBPxHS62iOAEyL4Z206zWCw2oOAEyL4Z2E6zWSSwSBHjiTJeLzK44FnS/DP1HSalZUMh7n33lx0Ue66K6ORtT1rzNJqD2BtmE4zHmfduvz859m2LYcO5eqrc+qpueQSK3zWEjP8M7W0lB/+MB/4QA4dytJSDh/Ot76VOMBjTRH805j1PBhk9+5ceWUefjhLS1lZyaWX5qtfTZKhPyFrh0/r/2UymQd/88350IfyyCN5wQuyspLLL8++fXn5y03vrDGC/1/Nap9Oc/312bEj43HWr89//pNt27J7dzZuzHhs984aM5iapJ7K7Alckp078+UvZzjMaJTl5Vx7bb74xSwtZTKxmGftcUr/FB4/eL/mmtx6a0ajJFlezqc/neuum/+C2lmLBP9ks6l7eTlXXpl9++ZHdEluvDEf//j84o2VPGuU4J9gPM5olEceyRVX5Cc/ybp1WV7OYJCvfS3bt89nfrWzdlmYHjer/eGHc9llx2t/4QuzZ0+2b59v6dXOmmaGn5vVfvBgtmzJr341r33Tpnzzm3nXuzIeZzhUO2ueU/rksVO6v/wl739/7rtvXvvLXpa9e/OWt8z/LYAFYIafn9Ldd1/e977cf/+89le8Ivv25Y1vzMpKlvyRWBTVe/jZKzHDYX75y2zenPvvz4YNWV7OOefkRz9SOwuoN/jZ666jUe6+O5dfnoceyoYNOXo0r3td7rorr32t2llAvcGvrGTdunzve7niihw+PK/9wgtz550555yMx2pnAZUGP3u5/fbbc9VVOXIkS0s5ejSXXprvfjdnneWUjoXVGPx0mtEoN9+ca67Jv/+d0SgrK3nve/Od7+T00zOZqJ2F1RX845dnPvvZfOxjWV7O0lLG43z4w9m9Oy9+8fwMDxZV0ad79vhtMsnOndm1K8n8nvyOHbn11mzYYG5n8bUEP6v92LF89KP50pfm1+aWl/OpT+WmmzIYeN2VChU37WYX6f71r3zkI/n2tzMazdf2n/98du48/p9YwcJb/EdPs6n7yJFcdVX2759fpBsOc8stufpqB/J0WfDgZz0fPpytW3PgwPxh+ymn5Otfz9at84s30GORg59dlXvwwWzZkl//OqeckkcfzaZN+cY3ctll89qt5KmysHv4We1//GO2bs3vfpf163PsWE4/PXfckUsusZKn1GIGP+v5t7/Nli3585/n+/azz86ePXnTmxzI02sBP/iz2u+5J5s3H6/93HOzf7/aabdon/3Z5Zmf/jTveU8OHsz69VlezutfnzvvzGteM/82SKi1UEv68TjTafbvz7Zt+ec/5/v2Cy7I3r0580yvu8ICBT9bqx84kLe+Ncm89re9LXv35rTTnNJBskhL+sEg02nOPjvnnZckx47l3e/OD36Q006bvx4HLM4Mn8cm+QceyDvfmXPPze23Z8MG398Oxy1U8Hms+YceyktfmlNPVTs8waIFnxx/8KZ2eJIFDD7xDXDw1BYzeOApLc4pPfC0BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FToLgp9NMJplOV3scsPhWO/jpNINBhsMMBhmPV3kwsOhWNfhZ7ffem127cvRoRqOsrKzmeGDRDaartZae1f63v+UNb8ihQ7n44nzucznvvOM/Ap5vqzfDz5LeuDFvfnOSHDiQt789X/nK8R8Bz7fVm+EfN5lkz57s2pVDhzIY5B3vyE035ZWvXOVRwSI6CYKf+etfs2NH7r47Sc48M1/4QjZvzvr1iQkfnjerfUo/M53m1a/Oz36WG2/MGWfk73/PHXfk0UeTZDLJyoqHdvC8OGlm+Ok002mGw/zmN9m9O9u25fzzM5lkODz+C6Z6eG5OmuCTTKcZj7O0lMlknvpwmD/9Kbfdluuvz8aN83le9nCiTo4l/cxgkKWljMcZDrO0lOEwx47lE5/ILbfkggvyi19kMHA/B56Lkyn4mdHoCTv2s87Ki16U3/8+F1+c667LP/6R0SjjsV09nICTaUn/JI9v2n/843zmM/nDH5Lkwgtzww05//wn/ALwzJzEwc+srGRpKQcP5oYbctttSfKSl+Taa7N9ezZtSmzp4Vk46YPPY80n+f7388lP5oEH8qpX5Z57csYZTzjGB57OWgg+yWQyP7F78MHs2pWLLsoHP5jJJKPRao8M1pI1Enz+x4N64EStneBnHNTBc7DWJky1w3Ow1oIHngPBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5H/Ajehig9TqGK6AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.2360113898728855, -8.06100790855898, 51.0279556052875])</answer>", "action": "('move', [-5.2360113898728855, -8.06100790855898, 51.0279556052875])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIfUlEQVR4nO3dvYtd1R7H4d8+c5IYEx0zCShEQUH/ApukENQmIIiotWBhYauFhRAUwSAIgnZpFEutLLSwiiD2ksJGkKCmy5uZGE2YOecWe2dGr9c55ybRM2u+z8MUe16KNcWHtfbaL6ebTqcFZBgtegDAv0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEGS86AHcvOm0ptOqqq6rrlv0aKAF3bSPBgjQ8Ay/vl5XrtTVq3X33bVv36JHAy1o7xx+MqmqOn26Xnihnnuunn22Tp2qqlpbW+y4oAGtzvCXL9enn9b6elXVmTNVVU5NYKb2ZvjefffVvffWeFxLS3X1apXgYQ7tzfD9hvzycnXdsIy/dGmhA4J2NDnDT6d14EDt2jV8e+VKVdWoyX8F/lXtVdJ1NZnUeFy7dw8/WV2tqhqNrOphhvaC37C8PBysrtbamhkeZmu4kkOHhoPV1fr11yr7djBLk8H3+3YHDw7frq4OG/XA1poMvid4+H/tqOAt6WFrOyH4y5fN8DCXJoPvz+FXVoaDy5dt2sFc2rvTbsPBg8OT8OvrZniYS5MzfK9f0veX3wUP82g7+NFoc1UPzNRk8H+8Dt8/Hn/xYpXb6WGWhhPZs6f27x826n75pcrt9DBLw8GPRnXo0OYM3x8AW2g4+K6rlZXh+OLFun59oaOBFrQd/MbzM5cuCR5mazv4jZvtzPAwj4aDr9pc0pvhYR5tB//XGd4uPWxhJwQ/GlnSw1x2QvDjcV2/LniYrdXg+6V7H3x/413/wJxPlYQttBp8b+McvqouXFjcOKARbQd/111VN2b78+cXOxZoQNvB795de/YMnzDXz/CW9LCFtoMfj2tlZbiL3gwPM7Ud/K5dtbJiSQ/zajv43bvrnnuG4/PnPTAHM7QdfL+k7wkeZmo7+F276sCB4fjCBcHDDDsq+H67Hvg7rQbfX37ruiH4paU6d84MDzO0GnzdeH1lH/xoVFeu1LVrix0RbHcNB99fjdtY0k+nw7trPSELf6f54JeXq26s8F2Kh601HHwf+b59VTVs1wkettZw8L29e2s8FjzMZScE36/qyxOyMEvDwfdL+jvuGB6Srapz5xY4HGhAw8H37ryzDhyo8bjG42GXHvg7DX8+fG/v3uq6WlurqjpzpqpqOvVUPPxvDQe/sUv/1FP1wAO1b18dPbr5c+Cvuqn7VCBGwzP8hslk+BqNarwT/iH4p+yEGd5JO8yp+V36ctIOc9sJwQNzEjwEETwEETwE2QbBT6c1mXhtBfwLFh18f0ltNKqu8w5K+KctNPi+9q+/ruPH6/ffa2lpuCce+Gcs7sabvvaffqqjR+vs2Tp2rN5+ux59dPNXwO22uBm+T3p5uR57rKrqyy/r6afr/fc3fwXcbtvg1trJpD7+uI4fr7Nnq+vqmWfqvffqoYcWPCrYibZB8L3vv69XXqkvvqiquv/+euedev752rOnyoQPt82id+l702k98kh9/nm9+24dPlw//1wffli//VZVNZnU2pqLdnBbbJsZfjqt6bRGo/rmm/roo3rppTpyZHjkdeMPTPVwa7ZN8FU1ndb6eo3Hm0+3j0b13Xd18mS99VYtLw/zvOzhZm2PJX2v64ZXzPcvshiN6tq1eu21+uCDevzxOnWqus79OXArtlPwvaWlP52xP/hg7d9f335bx47Vm2/WxYu1tFTr687q4SZspyX9f9k4af/ss3rjjTp9uqrqiSfqxIk6cuRPfwDMZxsH31tbq/G4fvyxTpyokyerqg4erFdfrZdfHj44VvMwt20ffN1ovqo++aRef71++KEefri++qoOH/7TNj4wSwvBV9VkMuzYnTlTx4/Xk0/Wiy/WZFJLS4seGbSkkeDrDxfqgZvVTvA9G3VwC1qbMNUOt6C14IFbIHgIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8h+Q1aa2WujMDAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGp0lEQVR4nO3buatcdRjH4ffMdhFBQbz/QCBgWhsVNSq4oEXETgyCFjbaCBpwgRjUqCGFG5LKpVIEU7uAC+KCjVVE0UIrQTRqYaG5M+dnMdeLYOONy5nc7/PUp3ibz/yWc6ZrrRWQYTT0AMD/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZPjgWxt6AogxfPBdV30/9BCQYcjgf/217ruvfv65RqPqe9nDf65rw22pNzZqNqsLL6wnn6y9e6uq5vOaTIYaB3a+IVf41urss+vTT+u669rDh/pffqnJpBbzASeCHW7IFf7UqVpb29zPV7WrrmyPPT66+OLNa7yuG2ou2LGGXOGn09q/v/q+r6rptHv3ve7GG9vRI33XVddVay7w4V825ApfrTbm9dIL/f33t5M/jafT2tioqnbD9f1TT493766qWixqPB5sQNhhBg3+D198Xnff3d58q6q6ybTmG7V+fn/0aHfL/m75KzCdDj0i7AjDv4fv+7pgT73+RvfE4X59veYbNZ3W9z+Mbru9u+OO+vLLmk5rPre9h3/BSqzwW7d0H37YHjpYb7/TutFoPKr5vPbsqYMH2803d8vH3OTBP7ESwVdVa7VY1GRSP55szzxbhw9383mtrdVvv9XaWt16aztypDvvvM0nZQ+nZ1WCX9r68Ob99+uuu+rEiVre2Pd9XbB78exzo6uv6cpNHpyu4c/wfzaZbH5gu3dvffxx3XlnO+us6vuazuqLr8bXXNseeKBOnmzjcS0WTvWwbau1wm/Z2rcff60dOtROfNZNJt2ir9a3Sy/pnzgyuuxyp3rYthUNfmm5df/m6/boI/X8i1XVzWZ16lSde06790B34EDNZlW+yYO/baWDr9p8Cd9avfJyO3BP/+1348mk5vOqqn376vhxf7aBbVitM/xfTae1WFTX1S37uw8+Gt10U5v/8e+aiy5ydQfbs+or/FJr1foajauqjh2rBx9sV1zRvfpqzWaO8bANZ0bwS1ttf/JJra/Xrl1qh+05k4Jf6vsarfpBBFbUmRd81ea7etnDdp2RwQOnxyoJQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQX4H9TMfqBLQaGQAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "15e8dae942003b87b36236a230bb1cae98acce9e5d6c9376606595504d4d315a"}
+{"episode": 19813, "episode_seed": 3510807824, "split": "train", "timestamp": "2025-09-15T23:02:22.873029", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3510807824, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3149772469830456, -0.5009286390533638, -20.03145732777055])</answer>", "action": "('move', [0.3149772469830456, -0.5009286390533638, -20.03145732777055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3149772469830456, -0.5009286390533638, -20.03145732777055])</answer>", "action": "('move', [0.3149772469830456, -0.5009286390533638, -20.03145732777055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3149772469830456, -0.5009286390533638, -20.03145732777055])</answer>", "action": "('move', [0.3149772469830456, -0.5009286390533638, -20.03145732777055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8408ead1f29140780eb0b7a3308e127aa082061e842d929e514f973977631330"}
+{"episode": 19814, "episode_seed": 4170441162, "split": "train", "timestamp": "2025-09-15T23:02:23.882051", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4170441162, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-12.089656108341932, 11.271524463594794, -13.466642883665562])</answer>", "action": "('move', [-12.089656108341932, 11.271524463594794, -13.466642883665562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-12.089656108341932, 11.271524463594794, -13.466642883665562])</answer>", "action": "('move', [-12.089656108341932, 11.271524463594794, -13.466642883665562])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALNElEQVR4nO3dXYgVdQPH8d+ZOWdNLd3FXQIhIruJWIwkoi4s1y5Ml6h8gZBHy6AwMzUj3A3ZzVesXCy9SKSLoDTEgoi8MCEt9EIhvSmR1jTW1xQjV8lyz5l5LmZ2Vx+VduvRbeb3/VwevBhYv+f/Mv+ZU4jjWAA8BAN9AQBuHoIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASME7y2OB/oKcFMRvLEoUqEw0BeBm6oQ8x3vrKtLhYLCkPJNMMJbimNVKtq3T7Nna+tWFQqKooG+JtwMjPB+4liFgrq6NH26Pv1UDz6or77S8OGKIgUMADnHH9hPMp6XSnruOQ0dqr17tXlz+jnyjhHeUrJdV6loxgxt3qw779T+/aquHujLwg3HCG8pCFSpqFjUnDmqqdHPP2vJEom7dPlH8K7CUOWyxo7VlCmqq9PFiwN9QbgZmNIbSyb27e06eVKPPip17+chvwgekqRKRWE40BeBG44pvb0o6q39p5/U2SmxmM8tgreXnLQ7d07TpmnMGO3cKUmVygBfFW4Mgke3w4fV2an33lNnp8KQQT6XCN5ecg5n+HC1tqqqSl9/rS+/ZOsurwgeUqGgONZjj2nSJElatkznzqUfIl8IHt2D/NChmjNH1dU6eFAbNgz0NeGGIHhI6j6HM368nnhCQaB339XJkwzy+UPw6JZs1y9YoLo6nTihxYsltuvzhuDRLQxVqWjMGD3zjO69V/fck36IHOGkHS6T/Gc4fVoXLujuu9NP2LHPEYLHdZTLKhYH+iLwf8aUHldJDtsWizp/Xtu369dfJQ7b5gTB4yrJ7t3Ro2po0OOP69tvJYLPCYLHtcSxBg9WdbWiSMuXq7OTW3T5QPC4SvL2q9paLVyo227Td9/pk0/YussHgse1JLfoGho0caIkrVyps2cZ5HOA4HEtSduDB2vuXNXWqqNDb78tidfXZx3B4zqKxfSld08/rUJBGzfqwAGFIc1nGsHj+pKn4puaVFen48e1erXEYdts42QFri+Z2I8apblz9c03amxUHKtY5PhddnHSDn8ljnXxosplDRuWbtpRe2YRPPqMN9tmH2t49EHya7NxrMOHtW6dfvtNccwtuixiDY8+iCKFoX74QZMmqaNDI0Zo+nSCzyJGePRBECiKNHKk7rtPkt58U+fPD/Q14e8gePRB8tK7mhrNm6eaGrW3a+3a9ENkCsGjb4pFdXWpoUGNjZL0/vs6ckRBwMQ+WwgefRYECkMtWqTaWp04kZ7DKZcH+rLQDwSPPkvO1dbX69lnFcf64gvt2qVSibN3GULw6I/kyE1Tk26/XceOafPmgb4g9A+35dAfSfC1tVq+XLt2aeZMxXF65J7jd1nASTv0X3LqplBID9uTenYQPP4BDttmDcHjb+EpmmxiDY+/hdSziV16wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDyyIY5VqfBbtf8U76VHxvBTN/8EIzz+7aJIknbs0H/+o5Mn09qTD9FfBI9/tThWEOjsWS1bpo0b9dBD+uwzVSoKApXLzPD7jeCRAR98oB07dMst6ujQ1KmaO1cdHSoWFUUM9f1D8PhXS36ftr5eDz+sP/5QECgMtX69Ghv1+ecKQwWBKpWBvsrsYNMO2XDqlNratHq1JA0apD//VFWVXnhBS5ZoxAh28vqK4JEB5bKKRUnatk0LFujgQQVB+iv19fVavVoTJkhs4PcBU3pkQLJclzRhgnbv1osvKgwVxyqV9P33evJJvf66LlxQocCq/i8wwiMzLv9N+i1b9MYbOnSod+vugQfU1qZHHpEumxHgfxA8MiaZyQeBjh5VS4s+/FCSqqp06ZIGDVJzs+bPV3U1zV8bwSOTKhWFoSR9/LFaWnTkiIpFlcuS1NCgJUs0duwVMwIkCB5ZlazVg0CHDqm1VZs2Sd1DfV2d5s9Xc7OCQFGkQoHsUwSPDEueqCkWdemSPvpIzc06c0alkrq6JGncOK1bp/p66bIZgTmCR+ZFkYJAktrb9eqr2rpVUjrDv/VWrVqlWbM0ZIjKZYWh+1BP8MiJnpvwa9aorU3Hj/cO9ZMnq7VVo0f3rgJsETzyo2cDf+9eLV2aDvVJ9nfcoeZmvfSS5D29J3jkTVeXSiWdP68NG9TSot9/7x3qp0zRO+/orrsk12N5BI8c6rkJv3+/XnlFu3dLUhiqUtHIkVq1SjNmSHLcwDdezSC/isV0en///dqxQy0tGjZMlYpKJZ04oZkzNWOGjh9PF/NWD9sxwiPPeubtO3eqqUl79qQP2HZ1adQovfWWpk6VnI7iMsIjz5Lay2WNG6dt27RoUbqer6rS4cOaNk2zZ+vYsd5TernHCA8LPTvz27erqUn79qXz+SjS6NFqbdXkyZLBTh7Bw0UUKY4Vhjp9WqtWac0aqfso7pAhev55rVihYcN67+3lEsHDSBwritKhfutWLVyoH39UGKbfBfX1WrtWDQ1Sflf1Of0eA66lUEjfnBHHamzU7t2aNeuKd2mMH6/Fi3XmTLqqz99oyAgPUz3L9U2btGKFDhzofZfG2LFaulTjxl3xz/KB4OGrZ4bf3q6VK694l0Z1tebN02uvpav63DRP8HCXHMXt6tKWLVq4UL/8kk7yo0iLF2vp0vzULtbwQKmUHsKbPl179uipp9Laa2s1cWL6YszcYIQHpCvfkLl+vdratGCBXn6592H7fCB4oFfPcv3UKQ0apJqaXC3gRfDA1XL8wDzBA9eQ1ydnCR4wkqPtCAB/heABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0b+CxfDMMgZEGjIAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-12.089656108341932, 11.271524463594794, -13.466642883665562])</answer>", "action": "('move', [-12.089656108341932, 11.271524463594794, -13.466642883665562])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7617f8194c6692cb82f04fb3fd4b33b77ac6a100562cde2669a9fa45224f1865"}
+{"episode": 19815, "episode_seed": 1703539774, "split": "train", "timestamp": "2025-09-15T23:02:24.520856", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1703539774, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.868801754098213, 0.1695059423871059, 29.945397848748485])</answer>", "action": "('move', [-9.868801754098213, 0.1695059423871059, 29.945397848748485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.868801754098213, 0.1695059423871059, 29.945397848748485])</answer>", "action": "('move', [-9.868801754098213, 0.1695059423871059, 29.945397848748485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.868801754098213, 0.1695059423871059, 29.945397848748485])</answer>", "action": "('move', [-9.868801754098213, 0.1695059423871059, 29.945397848748485])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHi0lEQVR4nO3d3a5dVQGG4W/utZqmgTQ0FmlrALGVFAOkUJVSYjjgwrgGLoSbMC0FgQIRVER+1YKhhZSUn2z2WsODuRvhWONu5vc8Z3sejXnw7vkzxhpzGmME6LBz0AMA/n8ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UWGPz16/niiyQZ46CHAneY5QQ/Rp5/Ps8+mwcfzAsv7B8Bfmh90AP4n5mmvPhi3nknSV5/PV99laNHM0am6aBHBneM5Vzhkzz3XKYp05TXX9tc/3zERR5+bCHBz2FfvJgxsl7ns39N164d9JjgzrOQ4Gfnz49kO02Zpp033pyS7Czq/OC/taggjh/P2V+O3d2MkStXsrd30AOCO8yigr/rrumpi6sk05QrlzbffjuSxGM83LaQ4KcpY+TQofz2qUxTDq3z0d93Pv10it7hBxYSfJLtNkkefWSMsdmMTNP0yisHPSa4wywn+Hm+/dSpPHj/tNnLGHnpsqs7/MjSgj9xanri/P5JXbpszQ38yKKC32xy99157LH9I598ks8+23+8B7Kk4HP7Mf7s2ezsZJry3Xe58nJivR3ctqjg57v6M2dy330ZI7u745Ur29z+RwAsKvh5Xd3DD+f06fnA9OofXNzhP5YW/N5e7rknDz005gn4f1xb3biR1cpFHpKFBZ/bj+uPP7qdppHk+ud5803v7WDf0oKf7+rPPbk6dmwnyRdfbq++thkjm80BDwzuBAsMfoycP5+fHJ8PTO/8aZomP5uDZHnBz7Pxx47l/pObZCTTBx/u3LyZ9dpjPCwu+NkY+fVvkkxJPng/775r9xtIFhn8vOrmwjOrw4eT5J/XNu/91Ww8JIsMfl5+8/SFHD48P7qv/vLuKna/gQUHf+JEHnhg/6r+9tv55huz8bDE4JOMkTFy8eL+n2+9FXtaQpYafJJpyjPPJMl6nY8/Hp9e894Olht8kgsXkoxpynY7/fFtm9jCooM/eXL8/P7NvHftq6/m++99hYZ2ywx+DvvIkenp363HSKZcubT5+uvEXT3dlhn8bL3OhaeS5NA67/0t169rnXaLDX6egXvi3P63aLZZXb06Je7qqbbY4GenTuXUyezuJsnlSwc9Gjhoiw1+vpLf+9PpiSf3z/Hy7316inaLDT7JGDl6NOfOZf557J/fW924cdBjggO12ODn38km+dUjY4xtkt3d/W/RWGBLrcUGn9t39b84PR0/Pm232dvLy3atptvygz99OmfP7r+af+mlRPAUW3jwm03uvTdnzuwf+eij3LqV9VrzlFp+8EkeOTumjCRffpmrV5NkK3gqLTn4JKtVkjz2eI4eTZKbN8fV17ZJtjaxpdLCg58f48+dm06cnJJsNnnjjZHMX6mAOgsPfv4WzYkT+dnJ7byJ7fsfrm7dyvqQyTkaTaPj/dV33+b7vSRZrXLkiBX1lGoJHsjib+mBHxI8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPk389lHzxVTRxoAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6866bcb4eac8063c3968c0287528722f884c205efea57ecd854058abb5d195ae"}
+{"episode": 19816, "episode_seed": 838510447, "split": "train", "timestamp": "2025-09-15T23:02:25.157907", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 838510447, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [68.22175701031577, -61.67360437073643, -0.8085113430054681])</answer>", "action": "('move', [68.22175701031577, -61.67360437073643, -0.8085113430054681])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ5ElEQVR4nO3d3atcZ8HG4Xv27J2KoaYfqSGILUKsijVptH5ETBRrxCqIoEeCf5F45Jl/gtQTT0SttUVb0jSkqWjErxBDWoQi0aZNbPfMLA/W0Lzw8tY3Te3sPfd1He2ZowcWv1nPetaz1p4MwxCgw8aqBwC8cwQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQRPhiHzeRaLVY+D/77JMAyrHgPwDtlc9QBYmdksm5v50Y9y+XI++cncd18OHsyGOd9ac4bvNZtlOs3Xvpaf/CRJvvGN/PCH2dxMkslktUPjv8XveanFIpubuXQply9naysbG1kssrWV2Uzt60zwpebzJHnuufzxj9nezsZGTp5MnNvXneCrPf98Xnstk0n27s0XvpDENfyac3gbDUO2tnL9ep5/fvnxwIE88ECGQfBrzuFtNC7UXryY06eX33z+8ze+Z40JvtEY9l/+khdeWC7LP/xw4gK+gOAbjfP2Z59dFj6d5sSJRPAFBF9nGDKZ5OrVPPFEhiGzWR56KPfcs+ph8Y4QfKmXXsrp05lOM5nk5MnlxJ61J/hS587lX//KdJphWK7YeXimgeDrjBfqv/hFksxmufvufPCDqx0R7xzBN1os8vOfL/84fjz79ydW7DoIvst4Q+5Pf8qFC5lOk+TYsezdm8VC8BUE32UYMgx5/PHM5xmGTKd58MHEBXwNwXcZ78k99liSLBb58Idz6FBiPl9D8F0mk1y7lrNnlx8PH87735/Fwhb6Fo5zkTHsM2dy5crymyNHsrWV+dwZvoXgi4zPwD/5ZF5+OUnuvDMf/3hiPt9E8F2GIadPL9fq77svR496JLaLQ91ifIPV5cu5cGH5zf33Z//+zGaCL+JQtxhvvJ09m4sXk2Q6zbFjifl8GcG3GKfxZ8/m2rUk2bdv+Uis03sVR7vCMGRzM9ev5ze/WZ7S9+/P4cNuyNVxtCuMO2cvXMi5c8tT/Wc/65HYRoKv8MYW+osXl1vox5dS00bwFcbn3p97bvlxz57lM/BW7NoIfv2N++dffjlPPZUk83keeCDve18i+D6CX3/jfP6ll/L008v5/Je/7I3UpQS//sbT+G9/m+vXl8F/8YuZTDTfSPDrb2z7l79Mktks+/blIx9Z9ZhYEcFX2N6+8U6rEydy112rHhArIvg1N87bL13K73+/vPF+/Hje/e7lSh5tBF/hiSduXLQfPZp4p1Urwa+5MfKf/SzDkPk8H/pQPvCBxA25VoJfc5NJZrOcOrX8+6GHcu+95vO9BL/Oxi30p07lypXllP7BB7O1ldlM8KUEv84WiwxDnnwy165lGHL77Tl8ODGfLyb4tTVevU8meeqp5RLd/ffnyJHEM/DFHPm1NT4D/+KLN95pdehQDhzI9rbgeznya2s8q58+nRdfTJLJJJ/61GpHxOoJfm2NwZ85k6tXk+Tuu3P8eJLldno6CX49DUO2trK9nfPnl0t0Bw7kyBHvtGrn4K+n8Ybc+fN5+ukbG+z27LHBrp3g19N4Vr/zznz728tn4770pcT6fL3J4KnotTYMefXV/O1vueee7Nu36tGwaoKHImZ4FfyqMxJ8BXtpGQkeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeigge3ibDsOoR/GeCh7fJZJJhyGKx6nG8GcHD22R7O5NJNnZ0U5urHgDscsOQySTXruW7381tt+Vb38qhQ6se0/9J8HBrFotMpzl/Pt//fv7+9xw4kEOHlr8CO8+Onn7ALjCu1Z07lytXcscdeeSRVQ/ozQgebsEwZDrNbJYzZzIM+cxnctddSXbm6T2Ch1syTt1feCG//nWGIY88kj17Vj2mNyN4uAXjfP7Pf87vfpc9e3LsWJKdfGdO8HALptMkOXUqk0mOHs299656QP+B4OGtGk/v//xnHn00w5ATJ7J/fxaLnXwrfueODHa6cWVuczOf+1wOHswnPpHpdCfP55NMht2wARh2qDGfxSJXr2bv3mxtrXpA/4Hg4ZbN58uL+R3PTju4Ba+/no2NbO6ajlzDw1syTo0feyzf/Ga+971cvXrjyx1M8PCWzOdJ8uij+fGP84MfZM+eHb5cNxI83LxxR+32dp55Jpub+epXc9ttmc937I7aNwgebt5ikckkv/pVLl1KkpMnk+zk2+9v2AVDhB1nnM8//nheeSUHD+b48eU5f8cTPNykYcjmZl5/Pc8+mySf/nRuv33nL9eNBA83aT7PxkbOn88f/pAkX//6jn3dxf+2a+4fwk4xnsyfeSZ//Wsmkzz88G6pPYKHmzZeq3/0o/nKV/Ke9+S97131gG6CrbVw8/7nHH73zOfjDA9vxWSS2SxJptNdVHss2sFNm8/zyivZ3NxFW+jfIHj4fxuvf199Nd/5Tj72sfz0p8v/NrN7uIaHmzQM+cc/8tprueOOvOtdqx7NzRE8FDGlhyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyL/Bnv1ErWlwJiNAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [68.22175701031577, -61.67360437073643, -0.8085113430054681])</answer>", "action": "('move', [68.22175701031577, -61.67360437073643, -0.8085113430054681])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [68.22175701031577, -61.67360437073643, -0.8085113430054681])</answer>", "action": "('move', [68.22175701031577, -61.67360437073643, -0.8085113430054681])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0cbed99433be99b63a743769951ae31ed985f5e04f131cb801fcab1c22b692b0"}
+{"episode": 19817, "episode_seed": 3854106788, "split": "train", "timestamp": "2025-09-15T23:02:25.805438", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3854106788, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.819090780758268, -9.920861349642982, 2.844200666239194])</answer>", "action": "('move', [-10.819090780758268, -9.920861349642982, 2.844200666239194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.819090780758268, -9.920861349642982, 2.844200666239194])</answer>", "action": "('move', [-10.819090780758268, -9.920861349642982, 2.844200666239194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.819090780758268, -9.920861349642982, 2.844200666239194])</answer>", "action": "('move', [-10.819090780758268, -9.920861349642982, 2.844200666239194])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1c4f8f3bec2fe0f5475d66604f69725a05d76be93ddbefb6d8c2568fb749ade1"}
+{"episode": 19818, "episode_seed": 226984054, "split": "train", "timestamp": "2025-09-15T23:02:26.796840", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 226984054, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-11.846186999005306, -7.784732796822937, -23.104513012733364])</answer>", "action": "('move', [-11.846186999005306, -7.784732796822937, -23.104513012733364])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-11.846186999005306, -7.784732796822937, -23.104513012733364])</answer>", "action": "('move', [-11.846186999005306, -7.784732796822937, -23.104513012733364])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-11.846186999005306, -7.784732796822937, -23.104513012733364])</answer>", "action": "('move', [-11.846186999005306, -7.784732796822937, -23.104513012733364])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "949309982b708b7213529b8695c5d14fb4c218ab7c5c3e0c6da7c0122ba59363"}
+{"episode": 19819, "episode_seed": 3961136148, "split": "train", "timestamp": "2025-09-15T23:02:27.450974", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3961136148, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [7.057159075809231, -5.82671413195407, -26.343722725967325])</answer>", "action": "('move', [7.057159075809231, -5.82671413195407, -26.343722725967325])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKDElEQVR4nO3dzY9UVR7H4W91ATK2wBBEHRREDZrIyPhuIsYomsyIuJiVrmfjn+DWhfGPcOHGhWuZCUoGZxJfA2FQgyFGjVEhOIp2o6AjdFfVLOpKK76E6gDVl9/zrDq3C3I2nz7nnjpVtzMYDALUMDHuAQDnj+ChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEz9k3GKTfz2Aw7nHwM4vGPQAuNP1+JibS6SRJr5fBIBMTmTCzLAyC56wZDDI7m6efzlVX5fbbs359VqxofjUzk05H+ePXGVh4cTb0eul2s3dvtmzJsWNZsSKbN+fuu3PzzbnttlxxRfOy2dmm/OESgPPMDM/ZMQz+xRfz3XdZujRff50dO7JjRy66KH/6U266KZs35/77s3793D85NdeI/7wRPGfHcK2+bFkmJ/PNN3MXT5zInj3ZsyfPPZcrr8y11+bBB7NtW/74x590PhhkMEinI/5zy5Kes2l2NseOZd++bN+enTtz6FC+/fb013Q6mZzM1Vdn69Y88khuuinLl8/d29vnO6cEzzn09tv5xz+ya1c+/jgHD6bfb65PTMz9vGZNHnoof/lLNm7M2rW55JLmun2+c0HwnGW/eGf+/vv517+ye3f278/+/Tl5snnB4sXNz0mWL8+WLbnnntxySzZtyqWXNteH5Xe7VvtngeA5h06dwFn0w2bR4cP5z3+yd2/efDOvvprvv09+Vv7kZG69NTffnLvuyr33Zu3a5nq/3zSv/HkTPOdDv59eL53OXPlTU/n447zzTnbuzM6dOXq0ud7tptdrfl6yJNdckw0bsmVLtm3Lhg0/+T/t882D4Dmv+v1mou52mysnTuTo0ezbl7//PTt25LPP5qb6U7rdrFiR9euzdWu2bcumTfnd7+Z+O/wDMbzh57cJnvEYrvZPO4HT72fv3mzfnl278umn+fzzub29H1u3Lg8/nK1bs3FjLr88F1/cXJ+dTWKf77cInjH7teM3Bw7k5Zfz2mt5770cONDEPLwpmJlpXrNqVR54IPfdl02bcuONWbmyuT4zk0WLLPV/geBZWIYzfzK35v/kk+zZk717s3t33nijqf20fb5ly3LnnbntttxxRzZvzh/+MI6ht4HgWaB+vs935Eg++CBvv51du/LPf+b48eb6okXN/J9k6dJs2JDbb8+TT2bdumZXj1MEz0L3832+777Ll1/mrbeyfXtefPEXbvWvvDIHDmT5csGfTvC0xvAt/dN240+ezO7deeGFvPxyDh3K1FT6/Tz2WJ5/PrOzc6sDhgRP+/zaPt/+/XnppbzySv72t/z1r827APyY4Gm94QmcZC5vK/lfY8VD6506bDe828+Pdvg5jRkeCnGLA4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB7m69Qh/vZwlh7mq4Uf0BE8zNfwGXqTky36sI4lPYxouIw/fjxPPJFHH83OnXMXFzzBw4iGH8Gdmsq//52XXspHH417QCMQPMzL9HRmZtLt5rrrxj2UEQgeRjRcvU9P5+jR9Hq57LJxD2gEgod5mZrKsWNJmi/Bb8mOveBhRKdm+JmZTE7m978f83hGIXiYl+npdDpZu7Zd34zbprHCgjBcvX/+eQaDXHaZ4OGCNjxmc801uf76bNrUolM38a21ME+9XvO23OLF4x7KCAQPoxsMmiddtmp6j+ChFB+egVEMH1h36FCefTa9Xh5/PGvWtOjRVmZ4GEWvl243r7+ee+5Jkn37csstLXpspRkeRvf99+l2s2RJJifHPZTRtOPPEiwsX3/dnKK/6KJxD2U0godRDO/VjxxJktWrs3Tp3MU2EDyMYniv/sUXSbJ6tRkeLlzDHe5eL0eOpNOZm+HbQ/AwohMncvBgBoOsWiV4uND1elm0KCtWZO3aJC16Ez7eh4eR9fs5eDDvv58bbsi6dYIHFihLepivFk6WgocRTU3l1Vdz6FB6vXEPZWSChzM2nNJfey333Zc//zkffpikXdkLHs7YcHPu8OH0+5mczCWXzF1sCcHDiP773yRZtSrLlo17KCMTPIxoGPzKlU3wZni4YA0G+eyzJFm5MhMTmZ0VPFy4BoO5GT4/PFiyPQQPoxgGv2RJLr103EOZD994A6M4fjyffpqk+a6bVq3nI3gYzeLFefbZTE9n8+YkvqYaWLjcw8O8tHOmtKSHUXzzTb79NsuWNcfs2sYMD2dmOKU/80y2bctTTyXte08uZng4U/1+ut2880727WvO2A0fL9eqjXozPIziiy/S7ebqq5OWfbnVkOBhFIcPZzDI6tVJ+96Ej+DhjAwGzcn5r75Kv98E30Lu4eHMdDqZns7ll+d//8uaNUna8gDJH3PwBs7YyZN599189VU2bmzXU6JPETwU0r41CYxTr5fZ2ZYes4sZHkoxw0MhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/g9E82I190dmsgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [7.057159075809231, -5.82671413195407, -26.343722725967325])</answer>", "action": "('move', [7.057159075809231, -5.82671413195407, -26.343722725967325])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [7.057159075809231, -5.82671413195407, -26.343722725967325])</answer>", "action": "('move', [7.057159075809231, -5.82671413195407, -26.343722725967325])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKmUlEQVR4nO3d32tXdRzH8dc557u5H4nTbYqGi5KiEMZuEpeQOcgNin4QIQURitBVN910WUQXXfQXGI0ICmKkYfTDGCTZlEYNRlIE/XZN97VttRbT7fs9p4tzcsx0fmf74dnr+biqMxufi56+P99zzvecIEkSAfAQrvQCACwfggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSP1S9JVC6v9CJuDEGSJCu9BmCZJImCYKUXsaKY8Fj9pqb05Zd68UV99pkkOc+4wkovAFhaMzN69ln19GhiQt9+q507tWbNSq9p5TDhscqFoYpFTUyopkYffqgzZyTjIU/wWM2SRFGk556TpHJZk5M6elSS7yd5gsfqt3272tpUKikI9PrrKpVWekErh+CxyiWJmpv1+ONKEoWhvvlGfX1KEtNdPcFjNQuC7Ap8R4fWrcsif+01BQHBA6tRFCmO1dqqPXsUx5J0/LhGRkybJ3iscumQr6vT/fdnR0ZG1NOjIHD8ME/wWP2iSEmiri7dfrsklUo6elRxrDC0G/IEj9UvDFUq6bbb1N6eHRkcVF+fwtDuHnuCh4UwlKQnnlBdnYJAxaKOHVMQ2F2QJ3hYSE/ddXRo27ZsG9/bq2IxO+6D4OEiSVRdrccek6Qo0sCATp3Kjl//b8zbOQCCh4v01N3+/aquVpJoZkYffKCZmez49cjhRwKCh5EgUEuLurokKQx15Ej2XZrrNDGhiYl8nfcjeNg5cEBxrEJBv/+u48cX/t+n+4HJST3/vPbt07FjswdveAQPI2mV99yjlhbNzEjSoUOK4wVuzNOzfGNj+vRTffyxfvxx8Re6ZAgeRtLbaTds0FNPKUlUKKi/X4OD0nVM6PHx7ATAtm1LsNKlQvDwEseKIu3dq6oqxbGSRN3dC/wV6d8N4+P64w+Vy9q4cQmWuVQIHl7SId/aqo6ObDP/3nuamlr46faxMf31lyRt3pz93jwgeHhJb6dtaFBnZ3ZZrVjUO+8oSSr+Ls2lCT8zo/p6NTQs4XIXG8HDTjqMOzvV0qI41vS03n134dfUx8cVBNq6NbtrNyfytFZgUUSRSiXddZd27syODAzo668VRZVdU0//YhgZUZJo40aCB3IgCPTww6qtlaRz53T4sKTK7quPIkm69VbdcYdaW7N/zQnePANH6f/1Fy+qrU3ffSdJu3fryBE1NGSPvru2cjm7LFdVtaRLXVxMeDgKAsWxamr0wAMKAoWhvvhCp05V/Nyr9GszVVX5ql0ED1vpGD9wQIWCgkAXLqi3N3uU9bUFgQqFfG3mU2zp4e7ee3XihIJAN9+svr7s1P1Vd/Xpz4aG1N2tclnPPKMtW3L0kkomPHylG/ODByWpUNDQkE6elOa/iSYdkL/8ohde0EsvaWRk9mAeEDysBYE6O7VhQ7aZf/NNTU9XMK0vXFAUqbZW9fXLscrFQ/DwlYbd1KQnn8zeQvfRR/rppwqeZPPnn9ld9Hl7Ey3Bw1r6XZpHHlHh3zenv/XWvBM+/dn585LU3KyamtmDeUDwsJam2tamHTuye+nffnveXX16Nq9YlKTmZiY8kCfp+2caG/XQQ5IUhvr5Z33yiaQr3WabbvTLZZ0/ryCYnfD5QfBwlw7zPXu0ebOSRHGsN96Q5jn1fvGizpxRkqixkeCBnAlDxbF27FB7e3a6rr9fP/xw9UfWl8sqFLRunbZulZSji/AieODSK6W7urKP5L/9ln1h9vJdfRp2fb1efVU9Pdkz7nOFO+2A7NE3o6Nqb9f330vS3r06fFi1tXl89vx8mPBA9hicpibt3p0dOXlS/f3XettkDoclwQOSsldH79+vNWsUhpqcVG/v7PE5xsZ04oSGhvL1CooUwQOSFIYKAu3apTvvzE7Dvf++hofnBp/+0+ef67771NmZ7f5zlT3BA5k054MHlSSqqdHp0+rrm/sn0k/zw8OKY9XX66abZg/mBMEDczz6qOrrNTWlJNFXX0n6z1dlz52TpMZGrV27/Mv7nwrX/iOAh3RUb9qkp5/W2bPat093332lq+xp8OvXZ8HnasITPDBHFOmVVxRFqqu70o+TRGfPStL69QpDlUqzX7vJgzytFVgGQZBN7nI5e9zdHEkyO+FV4WNubyAED1wuPXt35SfWpcFXV6upaXkXtTgIHrjcfJ/KJyf166+Ssmfd5OoDvAgeWJiqKnV3a3xcu3ZJV9sG3Li4lx4wwnV44Lrkc1KypQcWYmJCf/+ttWuz2+zyhgkPVCYd6YcO6cEH9fLLUv6uyYkJD1QqfcDt4KAGBuZcqc/ViXomPLAQxaKiSLfcIuXs4VYpggcWYnhYSaLmZil/F+FF8EBF0rfGl0oaHVUcZ8HnEJ/hgcoEgcbHtWmTpqa0ZYv03+/N5gA33gAVm57W6dMaHdX27fl6S/QlBA8Yyd+eBFhJ5bJKpZzeZicmPGCFCQ8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyD9Tl2Tf3yaPrgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHPUlEQVR4nO3dS3LbVhqG4Z+kZMuypNYtjKR0VRaQBXRvIjtMZTtZQeapSiKKcttxd+TSJSbQA9CKMjLhQWjwe54RydGZvPxB4AActW1bQIbxuhcA/H0ED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0G21r0AGKS2/fP1aLS+dfQkePgUA4r8KcFDP4tFTSb1ww/13Xc1ndbXX9e339ZXX1XbDuBbQPDQT9PUZFI//th+/31VjXZ365tvBhO8k3bQU1tV9d/flu92dursbI2r6ceEh35G46qqN2+X03x7uy4uqqrGQ5ieQ1gjfDbatiZd8G+Wnzx/1rx8+ZeT9p8zwUM/o3Hd39fr18u305NFleBhE3Vh39z8GfzFPz/7M3VPCB56+2vwWzWcy/KCh95uburNY/Dna11KT4KHHpaH9L83/7ledJ+cX6xzPX0JHnp7dzO6fajxVlXVuQkPm+3t/0ZVk61xVS0vwg+F4KGH7uTcq1dVHw7vuwnvpB1soG473XxeVdU09fJl7e+vd0X9CB5W1Y30pqnr66qqxaIuztrJZL2L6kfw0M/9fV1dLV+fnZfgYZM9PCwnfFWdX4wED5vs/q7ms+VF+IuLYdwk92hQi4XPwMN9O/t10XU+oDvhO4KHfu4eRr/fTrae7LoZyq1yJXjo681vVTXpLryb8LDhZpdVy+dctdNpWyY8bKRuqs9mVVXv39fWeLH7YjitV5Xgoa/Ly6qqZlFffjl+vjOQLbUfeIgl9PO46+aLs/GLF1XD2UhfJjz00rbLQ/qqmn5Rz5+vdTX9CR56aJu6/KXpXk+ntbOz3uX0JnjooWnr8tdFdww/nZrwsNHu7ur12+1um910WlXVNH7Dw4a6uqq2Xf75zGPwAyJ4WEm3u2Y2q6bpXjeH/xhU61Xlshz0MptV21TT1KTag72qquEczleZ8LCixwnf7a07PB4fHE6qBla84KGHx4vwxyej/YO1LuWTCB56uPxl+eiL4+M6OKga1Da7EjysaHlIf7Xs++ho+bxawcPGms2XyRwd1d7ekG6M7QgePq5tazyuxaLe3Sw/OT6u0agWCxMeNtFoVNfX9fCwfHt0VDW0XTcleFhFd+j+JPjm5HCxzgV9KsHDqubzZfCTSR2fVtXAnlFdgodVdIfu83nd31dV7e6OT04H9QcUHwgeVjW/arsJv79fJydVQ7smV4KHVXS/4eeX79u2raq9vTo+XvOSPo3g4eO64F+9Ho3HNRrV3l6dnlYNcMK7Ww4+rgv758ut7sf87m4dHlbbCh42UfcXsf/+V727qZ9+qrOzGo/rjz9qe3vdK+tp1A5ucyCsyd1d3d7W7W09e1anp4Oc8IKHIA7pYVVPh+PgZntH8LCqgUb+lMtyEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOT/gtMQxoD5wPcAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b2e6296057058d0ee4ee36cd15d7c9268dd2f93bdd3334b1730f9ceda4d14c1f"}
+{"episode": 19820, "episode_seed": 3676334605, "split": "train", "timestamp": "2025-09-15T23:02:28.098205", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3676334605, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.358259617139457, 5.0691043107019444, 24.889222986380236])</answer>", "action": "('move', [4.358259617139457, 5.0691043107019444, 24.889222986380236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALD0lEQVR4nO3da4hUdQPH8d+ZmZ11k6zValsyrFVEFjXLvKSVYVgRKkRXfWlUaBhtUhlFL0p7Yzdlg0yRQILErptJthFbLFvb2qYiSKErBZXkBapdWnZnznlenPPM6OJTPqk7s/6+H3yhw8zsEec7/8s5MwZRFAmAh1SpDwDA4CF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjCSKfUBwEAUKYokKQgUBKU+GmuM8Dj7gkCplFIpBYGiSH/9VeoD8sUIjzMnihSGCkNJymSKg3lfnw4f1uHD+uEHffWV9uzR++9rxIgSHqktgsfpiafrYagoUkWF0mml0yfc4dAhPfec2tu1e7fy+eTG5mbdeaeiiBn+ICN4nJ54WZ5KSVJfn3bv1p492rdPixfrmmsUhqqs1OuvJ2v4K6/UxImaNEnjxyePxeAiePyTuNV4ND4+0fiWnh59+63a29XRoa4u/fKLfv1VkoYPT4KvrtaqVTrvPE2ZotpaXXqpLrigNH8REDz+pyhSPp9stum40bi3V8OGKZ9XOq22Ni1Zop9+OmEfrqpKdXWqqUkeFUVauTJ5kli8yE+xYVwCBI//ipfi8V66pCBQJiNJfX06elRHjmjfPn3zjZqbtXmzJk+WpNra5FF1dRo9WjNnJr9qa5PnjNfz8RPm8yfM/1EKBO+tsN8Whspmkz7jufrvv+vLL/Xjj+rs1Hffadeu4qN27EiCHzNGL7ygdFpz5qi6+h9+1oDNPJRCEMUrNLiJOz8+wu5uHTigK67QiBEKAu3apauvPuEhY8eqvl4TJmjBAt1ww8AnzOWSAZyra8oYI7yreF7d3a2ODu3cqc5OdXXp0CFt3Kh58yTpwgs1bpyCQLNna8oU1ddr9GhddtnA8+e5nCSl08n8H+WNfyQz8XT9wAG9+aZaW3XggI4dU09P8Q7ff69585TPa/RotbQonVZ1tSori3eIz6UXpgZ0PqQwpTcTB9/RoenTk1uqqjRqlOrqNHu2Zs7Uddfp4osHXhITL/KZrg99BG+pt1e33aZRozR9uqZO1bRpJz83XnhtEPm5guAtRZH6+5XNFm8pnDOj7XMawRvr7y+eGKdzDwTvig+uWOKaJ1fUbongASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w4ht8FCmKSn0QwOAyCj6KFIaKIjU26oMPFAQKAuXzpT4sYBB5BZ9Kads2NTTorrv00kvq7VU6rVyu1EcGDJYg8pjXRpGCQPv3a/ZsHTumMFQY6t57tXq1xo5VLqdMptSHCJx9LiN8ECiKdP75mjtXuZzCUNmstmzRggX6+OOkdo+3PlhzCV5SEKimRps3a+1aDR+uvj5VVmrfPi1apFWrFIYKgmSRD5yrXKb0sXhiL6mtTQ89pL17lckka/iFC9XYqMsvT3bvU0bvhDDi9bqOJ/ZRpFmz9MUXWrw4qT2TUVOT5szRJ58oCJRKsXuPc5NX8FJyNi6KNHKk3npL69bpoouUyymb1cGDWrhQzz+f7N7TPM49XlP648Wn5dNptbXp0UfV0aFMJtm9nz9fr76qsWOLSwDg3GA3whfEU/dcTrNmqalJ99+f7N5nMtq2TTffrKampPYwLPWxAmeI7whfkM8nE/hNm9TQoJ4eZbPq61M2qyee0DPPqLJS+bxSKUZ7DHkELx23e9/ermXL1NlZ3L2//XatXatx45TLKZ2meQxtvlP648UZ5/OaMUOffqoHH0xqr6jQ9u265Ra9+25ycQ7TewxpBF8UT+xHjdL69dqwQSNHqr9fFRU6eFCLFumpp9Tfr1SK5jGEMaUfKO45lVJHhx55RF9/rXQ62dKfN0+NjRo/Prksj+k9hhxG+IHizblcTtOmaft2LVuWnKvLZtXcrLlztXVrch9O1GPIIfiTCAJlMsrnVV2t117Thg265JJk3/7nn3XPPXr6af3xBx+txdDDlP7vFK6r37lTDQ1qbS1O72+9VWvWaNIkzthhKGGE/zuF6+qvvVYffaTly5XPKwxVUaEdOzR/vt5+OzlXx9smhgRG+FMSX5wjafNmrVihw4eLF+c8/LBWr1ZVlcKQz9ih3BH8qSrs3u/dq6VL1dqa5B2Guv56rV+v+vrkj2SPssVr81TFC/Uw1MSJ+uwzLV+efNgmm1Vrq268UVu2JAt+dvJQtgj+/xAv6aNIlZVat04bN2rMmGRif/So7rtPK1boyBFlMurvL/WxAifDlP5fiqfuu3frscf0+efFM/M33aQXX9TUqVycg3LECP8vxVP3q67SO+/oyScVhsrnlc2qpUV33KFNm5K3AN5OUVYY4U9L4fut33tPS5fqt9+Sj9lVVGjJEr3yiqqq+BYNlBGCP12Fbfn9+/XAA2ppKe7ez5ihN97Q5MmSyB5lgSn96Yq38aJI48Zpxw49/rgqK5Pd+/Z2zZ2rTZvU3c1/ZYeywAh/xhTG8K1btXKluro0bJh6ezVhglpaVFPDKXqUHi/AMyauPZfT3Xfrww+1cKF6e1VdrZdfpnaUC0b4My/+2ow//9SaNUqn9eyzyZW5rOFRcgR/VhSuvY9/w44dygTBny1EjjLEsvJsoXaUIYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwHoHLPAzGf7FcAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.358259617139457, 5.0691043107019444, 24.889222986380236])</answer>", "action": "('move', [4.358259617139457, 5.0691043107019444, 24.889222986380236])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALD0lEQVR4nO3da4hUdQPH8d+ZmZ11k6zValsyrFVEFjXLvKSVYVgRKkRXfWlUaBhtUhlFL0p7Yzdlg0yRQILErptJthFbLFvb2qYiSKErBZXkBapdWnZnznlenPPM6OJTPqk7s/6+H3yhw8zsEec7/8s5MwZRFAmAh1SpDwDA4CF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjCSKfUBwEAUKYokKQgUBKU+GmuM8Dj7gkCplFIpBYGiSH/9VeoD8sUIjzMnihSGCkNJymSKg3lfnw4f1uHD+uEHffWV9uzR++9rxIgSHqktgsfpiafrYagoUkWF0mml0yfc4dAhPfec2tu1e7fy+eTG5mbdeaeiiBn+ICN4nJ54WZ5KSVJfn3bv1p492rdPixfrmmsUhqqs1OuvJ2v4K6/UxImaNEnjxyePxeAiePyTuNV4ND4+0fiWnh59+63a29XRoa4u/fKLfv1VkoYPT4KvrtaqVTrvPE2ZotpaXXqpLrigNH8REDz+pyhSPp9stum40bi3V8OGKZ9XOq22Ni1Zop9+OmEfrqpKdXWqqUkeFUVauTJ5kli8yE+xYVwCBI//ipfi8V66pCBQJiNJfX06elRHjmjfPn3zjZqbtXmzJk+WpNra5FF1dRo9WjNnJr9qa5PnjNfz8RPm8yfM/1EKBO+tsN8Whspmkz7jufrvv+vLL/Xjj+rs1Hffadeu4qN27EiCHzNGL7ygdFpz5qi6+h9+1oDNPJRCEMUrNLiJOz8+wu5uHTigK67QiBEKAu3apauvPuEhY8eqvl4TJmjBAt1ww8AnzOWSAZyra8oYI7yreF7d3a2ODu3cqc5OdXXp0CFt3Kh58yTpwgs1bpyCQLNna8oU1ddr9GhddtnA8+e5nCSl08n8H+WNfyQz8XT9wAG9+aZaW3XggI4dU09P8Q7ff69585TPa/RotbQonVZ1tSori3eIz6UXpgZ0PqQwpTcTB9/RoenTk1uqqjRqlOrqNHu2Zs7Uddfp4osHXhITL/KZrg99BG+pt1e33aZRozR9uqZO1bRpJz83XnhtEPm5guAtRZH6+5XNFm8pnDOj7XMawRvr7y+eGKdzDwTvig+uWOKaJ1fUbongASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w4ht8FCmKSn0QwOAyCj6KFIaKIjU26oMPFAQKAuXzpT4sYBB5BZ9Kads2NTTorrv00kvq7VU6rVyu1EcGDJYg8pjXRpGCQPv3a/ZsHTumMFQY6t57tXq1xo5VLqdMptSHCJx9LiN8ECiKdP75mjtXuZzCUNmstmzRggX6+OOkdo+3PlhzCV5SEKimRps3a+1aDR+uvj5VVmrfPi1apFWrFIYKgmSRD5yrXKb0sXhiL6mtTQ89pL17lckka/iFC9XYqMsvT3bvU0bvhDDi9bqOJ/ZRpFmz9MUXWrw4qT2TUVOT5szRJ58oCJRKsXuPc5NX8FJyNi6KNHKk3npL69bpoouUyymb1cGDWrhQzz+f7N7TPM49XlP648Wn5dNptbXp0UfV0aFMJtm9nz9fr76qsWOLSwDg3GA3whfEU/dcTrNmqalJ99+f7N5nMtq2TTffrKampPYwLPWxAmeI7whfkM8nE/hNm9TQoJ4eZbPq61M2qyee0DPPqLJS+bxSKUZ7DHkELx23e9/ermXL1NlZ3L2//XatXatx45TLKZ2meQxtvlP648UZ5/OaMUOffqoHH0xqr6jQ9u265Ra9+25ycQ7TewxpBF8UT+xHjdL69dqwQSNHqr9fFRU6eFCLFumpp9Tfr1SK5jGEMaUfKO45lVJHhx55RF9/rXQ62dKfN0+NjRo/Prksj+k9hhxG+IHizblcTtOmaft2LVuWnKvLZtXcrLlztXVrch9O1GPIIfiTCAJlMsrnVV2t117Thg265JJk3/7nn3XPPXr6af3xBx+txdDDlP7vFK6r37lTDQ1qbS1O72+9VWvWaNIkzthhKGGE/zuF6+qvvVYffaTly5XPKwxVUaEdOzR/vt5+OzlXx9smhgRG+FMSX5wjafNmrVihw4eLF+c8/LBWr1ZVlcKQz9ih3BH8qSrs3u/dq6VL1dqa5B2Guv56rV+v+vrkj2SPssVr81TFC/Uw1MSJ+uwzLV+efNgmm1Vrq268UVu2JAt+dvJQtgj+/xAv6aNIlZVat04bN2rMmGRif/So7rtPK1boyBFlMurvL/WxAifDlP5fiqfuu3frscf0+efFM/M33aQXX9TUqVycg3LECP8vxVP3q67SO+/oyScVhsrnlc2qpUV33KFNm5K3AN5OUVYY4U9L4fut33tPS5fqt9+Sj9lVVGjJEr3yiqqq+BYNlBGCP12Fbfn9+/XAA2ppKe7ez5ihN97Q5MmSyB5lgSn96Yq38aJI48Zpxw49/rgqK5Pd+/Z2zZ2rTZvU3c1/ZYeywAh/xhTG8K1btXKluro0bJh6ezVhglpaVFPDKXqUHi/AMyauPZfT3Xfrww+1cKF6e1VdrZdfpnaUC0b4My/+2ow//9SaNUqn9eyzyZW5rOFRcgR/VhSuvY9/w44dygTBny1EjjLEsvJsoXaUIYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwHoHLPAzGf7FcAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.358259617139457, 5.0691043107019444, 24.889222986380236])</answer>", "action": "('move', [4.358259617139457, 5.0691043107019444, 24.889222986380236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f9ca0e584cfeb7a438c95c037b52712376639f87c7e964c69457a860cf271327"}
+{"episode": 19821, "episode_seed": 1927168538, "split": "train", "timestamp": "2025-09-15T23:02:29.090124", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1927168538, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-97.33388980692702, -86.45107490689679, -19.453420138328898])</answer>", "action": "('move', [-97.33388980692702, -86.45107490689679, -19.453420138328898])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALWElEQVR4nO3dXYhUdQPH8d//zJix2oqV4jtJFIZgF6HYC5qhlWwKZW5pVkQvmoQE0mVRV5HVjUZSlFqSelFBama54IKULQlKiemFmxdCrpbarqW2M+c8F+f01EP6pO3MnBl/38/dzs38YfnyfzkvE5IkEQAPUd4DAFA7BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXigYpIk7xH8E4IHKiaEvEfwTwgeqIzff9fXX+vAgbqe5wke6JMkUW+vPvxQ06bp5pv10ksKoX6bD0ndDg2oe2k9PT2aN09btigENTdr/34NG5b3yM6DGR7490JQuazmZj30kIpFhaCeHq1aJUmlUt6DOxeCB/okPai7/XaNH684Vhzrk0/U26uoLtuqy0EBjaNQUG+vRozQHXdkn+zbpy++UBTV4yRP8EBfpZN5a6uuukqSTp3SRx/V6bkdwQN9FUUqlzV5siZMyD5pb9f+/SoWVS7nOrK/IXigr9JtfJJowQIVCooi/fCD2tryHta5EDxQAYWCQtDcuRo6VEmiELRpk06eVKGgOM57cH9B8EBlJImuuEKtrUoSRZHa2/Xtt3mP6W8IHqiYJNGTTyqKFIJ6e7Oju7q6PldPYwEaWQgKQddfr+nTVS4rirRhg44ckerpKTqCByomSdSvnx57TEmiQkFHj2rr1jqqXQQPVFDa9q236pprsrtuVq7MZv46QfBAxUSR4lgjRuiBB7JJfs8edXQoSerlrJ7ggUqKYxUKuusuDRyoOFappLfeqqMHZgkeqKQoUpJo0iRNmaIkUZKorU3HjmWf547ggUpKn5kZMEAzZqhfP0n68UetXasQ6uJZGoIHKqxQUJKotVVjxkhSqaStW3X6dPZ5vggeqLD/Ht1NmZJ90tGhnTuzZ2zyRfBA5aWndI8+qqYmhaDubm3Zkt1jny+CByovvZ126lTdcIMkhaDNm3XoUP7P0hA8UEVPPZVdkD9wQF99lfdoCB6oknT1fu+9Gjw4m9XXr9eZMzlfnyN4oIqGDNGDDyqOVSyqrU0HDuQ8HoIHqiWd2BcsyP48e1br10u5/iIVwQPVkoY9frymTVO5rBC0Zo1+/TXPIRE8UC0hKI41aNCfr8Hp6tLHH+f5LA3BA1WUns9NnapRo7K7bt59N88HZgkeqKL07rrrrlNLiySFoN27tWdPNvnnMJ4cvhOwkYZdLOruuzVwoJJEp05lPz6Xy222BA9UV7GoJNHMmdnPVMSx2tvV1aViMYdJnuCB6kofjO3fXzNnqlCQpP379emn+azqCR6oumJRkh55RFdemb3BOn1gtvZ33RE8UHXpZD5mjKZOzZ6Z27ZN332XwwOzBA/UQtr8okWSFEU6eVLbtkmq9VsxCB6ohRAURdkDs3GsELRhg44erfUFeYIHaqdY1MKF2e9V7N2rb75hDw9cotK2Z8/WoEHZ1v3tt2t91x3BAzWShj1ypObMyX587vPPdfCgVMMfnyN4oHbiWJddpvvuk6QQdPas1q6t6QAIHqipJNHEiZo8WUmiYlFr1ujMmdqt6gkeqJ30wvvQoZo9O/shql9+0Y4dUq1urS/W4ksA/CGdzO+8Uxs3avhwzZ+vyZOlP150W/VvT3L/LQzAT2+vuro0alStv5fggdyUy9lLrGu2h2dJD+QjjhVFtb7TjhkeMMIpPWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPKosSZQkiuO8xwFJCkmS5D0GeEgShZD3INwxw6Nq0on99GmtWKHDhxWCmF3yRvComiRRFOnll7VkiebN07Fj2YfID8GjOsplRZE2btRrr0nSkCHq14/ac8ceHlUQx4oi7dunWbPU2anx4/Xllxo0iG187pjhUWnpSr67W0uXqrNTzc1avZra6wTBo9LS63Dd3SqVdPnlWrZMEycqjqm9HrCkR6WVy5JUKKinR1u2qKVFAwZIIvh6QPCoDhbwdYklPSoknTlOn9aSJdq9WyEojlUqcTJfVwgelZAk2Ur+hRe0YoVaWnTwoKJIhQLzfF0heFRCuaxiUevWacUKSZoxQ9deK7Fvrzvs4dFn6Xb9++91zz3q7NTEiWprU3Mz2/g6xAyPvkknjN9+0+LF6uzU8OFauZLa6xbBo29CUAh6/nm1tyuK9OKLuukmlcvUXp9Y0qMP0lto16/X/PmStHCh3nxTccxZXd0q5j0ANL7BgzV6tEaP1iuvKIokzurqFzM8/q04zm6bD0GHD+v4cU2YkM35qFcEj3/lr2dyRN44+D/h4qW1r1unhx/WyZOKIpXLvLWuIbCHx0VKa9+7V888oxMnNGSIli1ToZD3sHBBmOFx8U6d0hNP6MQJDR+u++9XocBV90ZB8LgYpZJC0HPPqaND/fvr9dd1yy3s4RsI/ydcsPSG+ffe0zvvKAQ9/bTmzcveXYcGwSk9Lky5rEJBHR1qadHPP+u227R5swYOzC7LoUEQPC5A+oKqI0c0Z4527tSwYdq+XePGsXVvOCzGcAHS19QNHao5c3T11XrjDY0bx2vqGhEzPP5JOo2XSioWJenQIY0cqWKR2hsRweP/Smvv7lZz859/omGxpMf5pZPB8eNqbdWrr2bX5LijrpExw+M80n17FOnxx7VqlZqatH27Jk3KjuvRmJjhcR69vYoiLV+u1aslafFi3XgjtTc6ZnicSxr2jh2aO1ddXZo+XZ99lh3aoZERPP4mPZn76SfNnKlduzRmjNrbNXYsJ3aXAJb0+F9p1XGspUu1a5eamrR8ucaO5ar7pYHgcS4ffKD335ekZ5/VrFnq7aX2SwNLepzL8eNatEg9Pdq0KXv6lSdkLgkEj/OIY505o6Ymtu6XEoIHjLBOA4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkP8AW6s27cmqFAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-97.33388980692702, -86.45107490689679, -19.453420138328898])</answer>", "action": "('move', [-97.33388980692702, -86.45107490689679, -19.453420138328898])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-97.33388980692702, -86.45107490689679, -19.453420138328898])</answer>", "action": "('move', [-97.33388980692702, -86.45107490689679, -19.453420138328898])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvklEQVR4nO3dX6ilVR3H4d+79z5nBBFRaAwvTS8kC+ZGGMOwQKN0ENTwdOGI/3BGREHN0bQmslQwEy80scRQQRqh0NAaUvQiLRLBAi27mCASHFNpbNTTnL3f1cUeCmVSR4+eP9/nuTxXL2edz17rPWu97+5aawVkGCz1BQAfH8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHzcWhtqa+AqhI8H7Vp6l231NdBVQmej1rX1csv13PPLfV1UFWC56PTWvV9LSzUxo113HG1bVvNz1ffL/VlZRM8H5XJpAaDuv57bfv2ev31OvPMuvPOGgxqMlnqKws2WuoLYHWaTGo0ql890r5/cxuNutbaIYfU0Ud35X5+SZnhWXyTSQ2H9ZcX2kWb+927u+m/7bZu7U48sfq+Bv7olo7fPYustRoM6o036sot9de/DWdmusm4vjbXb9pU47HpfYlZ0rPIpsHfcks9+GA3O1t79tRnPz257fbhyN/aMtA1RyJYPNMV+8MP1ymntK7ruq4OPrh/7LHBunXVmul96VnSs2imte/YURdeWFXdcFhV7aab1L6MCJ7FMV0pvvVWXXRRvfhijUY1Htc553RnnWUfbhkRPItgesZmMKjrv9tv394OOKDG41q/vm6+uWZnq+tM78uFe3gWwcJCzczUAz/t5+aqGw76vtaurYceqmOP3btFxzJhhufD6vuamak//6mu+kbXd4PhsFpr113Xq30ZEjyLYH6+Lrmk7djRzYxqz5626YL+ggsGral92RE8H8p0133rtZNfP9pGo1pYqPXr66YfDD0kszy5h+eD6yc1GNYD29rcXA1H3Xhch61tj/yy1q3rHKFdnowJH1Df12BYzz9fl13W9dX1rVqb3HhDW7euG4/VvkwZFj6I6Yr9zTfr4ovr7y/WAWtqMm6XXtKdfc6g7926L1/ON7PfprvuVXXNNfX44zUc1vx8HX98961vd9Of23VfttzDs3/++466bdvq7LNrMqnxuA49tJ54oo45xtOvy53g2T/TU/EvvNBOOKHt3Dnouur7uv/+mptT+wpgfNg/XVfz83XuxslLLw1Go+r7uuKKmpvb+0IrljlDxH4Yj6uqvn5F/9TvR7OztbBQX/xC++a1bbobz/JnSc/7NT0ne8897bzzutZqMmmHfaJ/9LHBMZ/pHKFdKQTP+zJN+o9/6E86qf7xajccdLOz7Sd31xlfVftKYh3Ge+v76rp6eWfbvKl2vtx11S0s1KYLu9PP6BYWLOZXEmPFe5guAQeDuuHG7qnfDdas6SaT+vzn+u9cV63VaGTXfSWxpOc9TDfb7r23Nm7c+x6bT66dPPnb4RFH2IdbeQTPu5nuuj/7bJ1wQu3aVTMzNRzWtm21YYPX1K1IPp/5v1qr1uq11+r882vXrhoOa2GhLr+8NmzwFXErleB5N4NBXX1Ve+aZNjNTk0mddFJt2VKTidfUrVSCZ9+m3xLzozv6H9/VZtd043EdeWTddlsddFCVx2NWLPfw7MN0a/3J37RTT61XX+sGw5od1X33tek+3MzMUl8fH5QZnneanpN95ZW6ckv36mvd7Gz1k3b5Zf3pZ3STidpXNjM87zSd3s8/d3LX3YPRqBuP68tf6n/xyGBodlj5jCFvM33V7B23T+66u5vWfuSn2g/vHAwHZWpYBczw/M/0IM1TT9XJX2mv/6trrWaG/c9+3p18ipdSrhLGkL2mB2l2765LL61/7upmZqu1/tpr28mneCnl6mEY2avrqrU68MDavLkOP7z+PV+nndZtuXroWffVxJKet5nO808/XbfeWlu31lFHOTC/qgied1L4KiZ49qHv9071yl9lBM++eRhuVfIBzr6pfVUSPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5D354EzWC2/f2AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1eaf895f4c8975ca8eb1a993dda64ab3f97a435a0af40e979f7f1a4e1b7ec63e"}
+{"episode": 19822, "episode_seed": 1876778572, "split": "train", "timestamp": "2025-09-15T23:02:29.735835", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1876778572, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.44059322703532, -6.8198367771093205, -25.756375966424287])</answer>", "action": "('move', [16.44059322703532, -6.8198367771093205, -25.756375966424287])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.44059322703532, -6.8198367771093205, -25.756375966424287])</answer>", "action": "('move', [16.44059322703532, -6.8198367771093205, -25.756375966424287])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.44059322703532, -6.8198367771093205, -25.756375966424287])</answer>", "action": "('move', [16.44059322703532, -6.8198367771093205, -25.756375966424287])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHwUlEQVR4nO3dy69dZR3H4d+79j6Q2oA0JEIUxEEHaoMJMtBya1oujYlxIMWBgZrAv2WoirEOIGB1olVqRfFCrJfoAAk0DowFAg0M2qRn7/U62Ocf4HTjXu33eYZr9OYkn/Ne1nqzW++9gAzDpgcA/P8IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIngnpvXrf9CCua/NNDwB29F6tbXoQ1zszPFPRWp07V++9V1Xm+Y+L4Nm8K1fqxIk6fLgeeqhOnjTVf4xa97+UzVm1ffFi3XtvnT9fVfXle8bf/m7Ys2fTI7tOmeHZpNaq99q3r555pqpqa6vO/aX9459VVvUfD8GzYauwHz7SP7FnHMdqrf3gxLjpQV23BM+GrbbrXzzQHjrUlsvqvV58qV26tDP5s16CZ8Naq8Wibr65vna0V42zWV14u506VVU1munXTfBs3mqSP3yk3fXZNo61XPaTP1xuelDXJ8GzebNZjWPd/aV28GD13qvan/86e+ONneeskeCZhOWyquqRh/uNN1ZVXbjQX3x+rKrlYqPDuu4InkmYz6v3evyJ4c47W1Utl+3M2Xb5cs3mju7WSfBMQmu1XNYtt9ShB3cW8X98rb32pxqGncmftRA8UzEM1Xs99Z3hhhtqGOri+3Xm1z6zXTPBMxXDUK3VoUO1f//OWd2pU/3tt2s2q+7obk0Ez4SstutPPlVVNZvXuXP973/rVWUXvy6CZ3K+dazPh2VVVRt++rO2WOys9rl6gmdCVtv1uz7XHjs6LBc1tPrRc8uL72t9bQTPtPRes1k9dbxV9dms3v9g9stfNdP7ugieaVkdy3/1K+Onb+/bi6qqZ7+7bM1Z/XoInmlZbdc/c+fwzWND9RqGeuWV9tb5Kjfk10HwTM64rK15HTnct7bGqrqyGJ773lguz62D4JmcNlRV3Xd/u+eeYRyr93rpJ63KDfk1EDyTMwy1vV233VaHHlyu3sG/db6dPl2tmeSvluCZotUR3de/Mdx6a6uqDz+sF14Q/BoInimaz2sc67772oEDO09efbUuXKitLc1fFcEzUctlzed19GjNZtVavf56P/2LXuXy3FURPBM1n1dVHT9eN91UVXXlSr18pra3d27OszuCZ6JWO/Y77qgH7l9WVWvt9M/7v17vdvJXQ/BM1+ro7umnZ73XfF7/+W/7/R98ZntVBM90rYJ/9LG6/VPjYlFV7ccnx0uXajazqt8lwTN1e/fWt59sVTWb1W/O1ptvan33BM+kre7SHHu8el8OQ20vhxdf2vnqjl0QPNeAz3+hHTw4LBbVWn3/2eVie9MDumYJnklrrfpY+/bVE8da7302q/P/nr18pnq3jd8NwTN1q5dwDz4w3vLJvvrq5sQJF2l2SfBM3TCrcawDdw+PPDqsIj97tt55R/O7IXimbvUbFXv21JEjO2d1775bzz+/85yPRPBcA1Yv3o8erf37q6oWi1r9nrRJ/qNq3R+Ma8fly7U6q2+t9u7d9GiuQYKHIJb0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOR/Pdtpq5cESaoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8691d53001d7a2e0e00200c3d231244bbde8258d772af3d1f210b7bd7a5bdc3c"}
+{"episode": 19823, "episode_seed": 3931527144, "split": "train", "timestamp": "2025-09-15T23:02:30.378728", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3931527144, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-27.473223304076384, 15.448409456075815, -58.46263005178374])</answer>", "action": "('move', [-27.473223304076384, 15.448409456075815, -58.46263005178374])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALcUlEQVR4nO3dXYgV9R/H8c/MOavSyvqQoLKJiA9reRERli4IWlhoCRllYKHSg+KFRAR1IV10UdFdYkUUZhAKZSa7LrhkZoqWsuyammUXRVbmhU8oaa575sz/Ykb/xv+v7epZ58z5vF9X7nozsOd9vjNzfr85QRzHAuAhzPoAANw8BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4y4Bh/HWR8BkAHL4EslBUHWBwFkIIg9Z10cK44VWr7fwZjTKz55a/v7b23erCVL9MsvafaAjWLWB3ATxbGCQKdOaeVKHTyohgatXk3wsOI04cNQpZJGjtS8eSoW9eGHOnhQQUDz8OEUvKQwVLGopUs1YYLOn9drr0ncsYcRv+B7ejR2rBYvVl2dWlq0aZPCUFGU9ZEBN4NZ8JKKRcWxli1TY6MaGnT6tMSQhwvLj+WSu3fbtqmhQVOnZn00wM1jGbwuNS+pXObTePhwfa0HgaJIUaQw1LlzOnVK5XLWxwT0O9fgJYWhCgUdPqwHHtBDD+nsWdbhoOYZB5+0/d132rtXe/aorY0F9qh5rtfwurSc/uJFLVqkDRvU1KTOTtXX//fyHqg5xhM+WWM3aJCeeUZDh+qnn/TBB1kfE9C/jCd8olRSGOrJJ/XJJ2ps1L59uvVWSQx51CTjCZ8IAoWhnn9eQ4fqjz+0apWCgDv2qFX2wRcKiiJNm6ZHHlEQ6N131dWV/hKoOfbBSwpDxbFWrlSxqHHj1N2d9QEB/cX+Gv5K27dr8mSNHs2NetQqgr/k8hpbFtuidvHKviTZJJvUfuSITpzI+oCAyiP4K4ShwlBtbZo+XcuXs8wWtYfgL4nj9NO4jg4dO6aWFn3zDavrUWO4hr9Ccj5/9qxmzVJXl2bP1hdfcAMPtYQJf4XkKZcNDXruOYWhtm1Ta2u6kRaoCUz4f0rO4ctlNTero0PTp2vnznQ1HnMe+ceE/6dkR02xqJdfVhiqs1Pr1rHwDjWDCf//JNfts2Zpxw5Nnqz2do0Zw1dToQbwCr6KONYrryiONW1aej7PKT3yjwl/dVGkzk7deacGDmT5HWoDwQNGmFrXdPle3d69OnOGffLIO4K/uuQuXXe33nhD06frzTc5q0fe8Qq+pnJZcayDBxXHev99/fYbK22RawR/dclt+UGD9Oqruu02nTyp119n4R1yjeCvqVBQqaSJE/XEE5K0caM6O1mHg/wi+H9TKCiO9eKLamzUyZNatSrdNg/kEMH/m2Sx7ejRWrFCcawtW7R7t+rqVCplfWRAn/E5fK+dOaO779bPP2vOHK1bpyFDWH6H3GHC904ca8gQvfSSBgzQgw9qwABSRx4x4XstjtXdrd9/18SJ6Y80j7wheMAIp/R9xPsj8ozg+4jTeOQZwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYJH3yTfr4ucInj0QfIQgGQDEdnnEcGjD4JA589r1y59/HH6sD/kCw/AQK8k36a5a5feeksbN2rwYP34oxobJXYM5woTHr2SPIn/22+1caOKRV24oPfeUxDw8N6cIXj0SqEgScuX6667VCqpVNKWLTp+PH1sP/KC4NErYaieHg0erLlz0x8PHFBbm8KQIZ8nBI/eSob5kiUaOVLlskolbdqkCxdULDLkc4Pg0VthqHJZEybo/vsVBApDffWVdu9WEPDVW7lB8OiDZMi/8IIkBYHOnVNLi3p6FPI6ygk+lsP1mDlTO3aoUFBDgzo6NH58+rkdqhx/IvRNsrQ2GfJhqNOn9fnn6b9R/Zjw6Jtkde2pU5o5U4cOSdKYMTp0SPX1WR8ZeoG3ZfRNsqJ2+HA9/XR6Gn/kiFpa2FSTDwSPPkvuyc+Zo1Gj0hV4b7/NAtt8IHj0WRgqijR+vBYsUBwrDNXVpZ07+XwuBwgefZac1ReLmjdPw4crjnXxot55RxLBVzuCx/UoFBRFuu8+3XtvevW+e7f2709/j6pF8Lgeydl7GGrhQtXVKQh09Kg2bGCTfLUjeFynZAn9/Plqakojb23Vn3+qWOTEvnoRPK5TMuTr67VggSQVCvr+e7W3Szz9qooRPK5fsrR++XINGZJeyW/YoDNn2CRfvQgeNyQINGKEnnpK5bLq6rR1q/bvlxjy1YrgcUOSwb5smerqFMeKIq1Zk344jyrEnwU3KgjU1KR58xRFCkN9+ql+/ZWVtlWK4HFDklt3AwZo8eJ0sF+4oDVrWGlbpQgeldHcrHvuSZ9v99FHOntW4kq++hA8blSytH7ECC1cKEmFgo4e1fr1LK2vRgSPipkzR5MmpZGvXauenqwPCP+D4FEBycOqJ03S7NnpafwPP6itTYUC2VcXgkcFXP6GyUWLNGyYgkB//aXPPkvv23MlXz0IHpWR7JObOlXTpqWFb92qri72z1UXgkclBYGefVZ1dQpDHT+u1tb0lwz5KsFDLFF5U6bo8GHFsZqa1N6usWN5iHW14I+ASkrGx4oVKpdVLOrwYW3fnj7oFtWACY9KSto+cUJ33KGTJ1Uua+pUff21brmF7KsCEx6VdPkh1kuXpvvnOjq0Z0/6X8gcwaPCkhX1jz2m+npFkYJAq1dnfUy4hOBRYcmQv/12zZ+frrprb0/v4XH5mDmCR4UFgaJIAwfq8cc1cGC6fy75pgqW1meO4FF5hYLKZc2YoebmdNVNa6uOH6f57BE8Ki8Z8sOG6eGHVShI0rFjWrs23VeHDBE8+kXyHMuFCzVunCSVStq8medbZo/g0S+SYT5qlObOTX/s6NCXX6b76pAVgkd/SfbJLV2qoUMlqbtb69critJvsEAmCB79JVk8P2WKmptVLqu5WTNmqLubFThZYmkt+lcca98+HTigRx9VQ0PWR2OP4HHzlEoqFrM+CG8Ej35XLiuKVCiwQzZ7BA8Y4S0XMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wGEthnW+4Ir7gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-27.473223304076384, 15.448409456075815, -58.46263005178374])</answer>", "action": "('move', [-27.473223304076384, 15.448409456075815, -58.46263005178374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-27.473223304076384, 15.448409456075815, -58.46263005178374])</answer>", "action": "('move', [-27.473223304076384, 15.448409456075815, -58.46263005178374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c08c1f95ac2cc67ef8715101de3c698a7ff9486e82babe1e49a18ae120df205c"}
+{"episode": 19824, "episode_seed": 3602509314, "split": "train", "timestamp": "2025-09-15T23:02:31.012381", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3602509314, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8335531957604472, 2.984624476545575, 35.501775270281506])</answer>", "action": "('move', [1.8335531957604472, 2.984624476545575, 35.501775270281506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8335531957604472, 2.984624476545575, 35.501775270281506])</answer>", "action": "('move', [1.8335531957604472, 2.984624476545575, 35.501775270281506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8335531957604472, 2.984624476545575, 35.501775270281506])</answer>", "action": "('move', [1.8335531957604472, 2.984624476545575, 35.501775270281506])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALLUlEQVR4nO3dzW8V1QPG8WfuvQ2UgqBYIRpRaghgFA1FKEYErYJgCFoSde2ehUYX/guuXGri1kRFIy/GSkRQUEsiYIJVE1FigPASKkp5b+/c4+LM71fDS3svEC8zz/ezIrM6Cffbc2bmzEwSQhAAD6VmDwDAf4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wUmn2AHCzCkHVqiRVKkqSZo8GN0YSQmj2GAD8R1jS4zJxDhgc1Lvv6pVXdOjQyEHkHEt6XCYEJYkOH9arr+r0aS1bprvvzg4i55jhcZkY9rRpWrRIlYq2b1eaqsRPpQj4X8RlkkS1mqZO1ZNPqlrVp59qcFBiVV8EBI8rqdUkacECTZyoAwfU39/sAeHGIHhcSVzAz5+vuXMVgjZtksQ5fAFw0Q5XUiplq/p16zQ4qBUrmj0g3Bjch8fVxd9GnNjTVOVyc4eD60fwgBHO4TGW4WH9/LO2btXFixLX6vON4HF18Vr9vn3q6dGqVdqzZ+Qg8ongcXVJohA0Y4aOH1eaassWSUrTZg8L147gcXUx+PZ2LV+uENTXpzRVSwur+vwieIwqNt/ToxDU36/du7N9eMgngsdYkkTd3Zo0SUePqq9P4rpdjhE8RhVvwt92m5YvV5Jo1y5duKBymeZziuAxlhBUKmnNGoWgHTu0fz+r+vwieIwlTuaLFmniRB09qj/+aPJ4cB3YaYexxFdfnD2rrVs1d646OlQu8yBNThE8GpSmCkEVHrvKJYJH3XjLVf7xdxr1ibUfO6beXtVqevll4s8jZnjUZ3hYLS166y299ppuuUVHjmj8+GaPCQ3jKj3qE+fzWbPU1qa//9bOnQqBu/G5Q/CoT9xs8/jjmjtXkj7+ONt1i1wheNQnSVStatIkdXYqBG3frvPnaT53CB51i2+2XLlS48bp4EF9+y1b7nKH4FG3uKrv7tadd+rCBX32mcT7MHKG4NGIENTaqmXLJGnbNp05o0qFVX2OEDwaEU/a165Ve7va23XsGKfx+cJ9eDTu3Dn99JMeeURi+13OEDyuVXy5XalE8DnC1lo0Lm654bsUOcQ5PBoXp/RvvtHzz+uDDySu1ecGMzwaFE/ah4b0zjvasEGlklav1oQJnMznAjM8GhQ324wfr+5uSdqxQ0eONHtMqBfBo3HxQu/DD+v22zUwkH2RBnlA8Ghc3GM7e7aWLlWSaONG1Wqs53OB4NG4+CBNa6u6uhSCent16lSzx4S6EDyuw+LFmjZNg4PauVPiAxU5QPC4JuWyajXNn685c1Sr6e23mz0g1IXbcrgmSaLhYbW26umnlSRasqTZA0Jd2FqLaxVvvJ88qSTRrbc2ezSoC8HjRqhWeVN9LhA8rk/cV1/iYlA+EDxghD/MgBGCB4wQfMHxtQj8G8EXXJJkG2F5Yh0i+MI7fVpDQ6pUuI4Oiav0RRX/V4eG9MYb+usvrVmjefPU0cFbKtwRfDGlqcpl/fCDVqzQiROS9PrrevPN7DhssTuqmOKf8T17dOKExo1TCFqwQBLTuztO7AooBFUqOn9e27ZJ0tCQJk/W6tWSOJN3x/9/AcXp/dAhbd2aTekrV6q1tbmDwk2B4AsoRr57t06cUEuLQtCLLzZ7TLg5EHwBxRvvGzZIUrWq9nYtXCjxQhoQfPHEqgcG1NubvZZmzRpNmSJxxQ4EX0ghZJ9yjpfoVq1SpcJOO0gEX0hJovffzxb2M2dq3rxmDwg3DYIvmiTRn3+OvEW2u1v33MMGO2QIvlDSVCFo40adOSNJpZIee0yViqpVgodE8AUTZ/JNm1StKgR1dGjRIon9NvgffgjFET/ZfvCg9u3LjnR2atYsVavsn0eG4Isjrtu3bNHhw5JULmvpUpXL3H7HCIIvjvgd56++0vCwJN11l555Jpv2gYjgCyJNVanowIGRbzc/8IBmzlSacgKPEfwWCiLuq9m1S7//riRRuazVq7kbh0sRfBHE52HTVN99p2pVkiZM0HPPZeUD/0fwRRBn8n8/D/voo5o+nct1uBTBF8ePP2r/flUqCkEvvdTs0eCmRPBFUCqpWtXnn0tSraYJE7R8ebPHhJsSwedeXLefOqVPPlGSKE311FO64w6J52FxGYLPvVj13r06elQtLZLU05Mt7IFLEHxBfPihkkTDw5oyhffb4KoIvgguXtTmzdm/u7s1Y4bEeh5XQvD5VqspBH3xhQYGlCTZA/BtbTwPiyvjQxT5FoJKJa1frzSVpPZ2PjiB0TDD51isfXBQfX3Zka4uPfigajX2z+PK+F3kWJoqSfTllzpyJDuyeLHGj8+OA5cj+ByL1+F7e3X2rCRNn57tt2F6x9Xw08irENTSooEB7d2bHZkzR52drOcxGn4aeRXfWrdzp375RUmiUklPPCGJ9TxGQ/C5FN9jkyTq69O5cwpBbW1au1YSz8NiNASfS/H6/PHj2rEjOzJ7tu6/n/U8xsCvI5fi5br+fn3/fTal9/QoSVjMYwwEn0ulkmo1ff119marclk9Pc0eE/KA4PMnvt8mPg8rKU3V2an77pPYYIexEHxe/fqr+vuz52FfeEEVNkmjDgSfP3Ea37w5exF9kqi7WxIfhMbYCD6X0lTr1ysE1WpaskT33iuxnkcdCD5n4vX5vXu1f3/2Galnn9WUKdlUD4yO4HMmrts/+ihbz7e1qatr5DgwOoLPk3h9/uxZvfdetsemq0sPPSSxwQ71Ifg8iXvmKxWtW6fOTqWpFi7U5Mm83wb1SgLvOsynkyf122+aOlUdHdlOW2BMBA8YYV7IqxB4ETUaxv6svOKkHdeAGR4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwDZQu937b47i0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e655f866afbd6e94675625ed13a9b47cbfc9bc0f4e54221915e1cf77776f2942"}
+{"episode": 19825, "episode_seed": 3828899682, "split": "train", "timestamp": "2025-09-15T23:02:32.004933", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3828899682, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-101.85390418500403, -122.06921803062913, 51.48850797977125])</answer>", "action": "('move', [-101.85390418500403, -122.06921803062913, 51.48850797977125])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-101.85390418500403, -122.06921803062913, 51.48850797977125])</answer>", "action": "('move', [-101.85390418500403, -122.06921803062913, 51.48850797977125])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-101.85390418500403, -122.06921803062913, 51.48850797977125])</answer>", "action": "('move', [-101.85390418500403, -122.06921803062913, 51.48850797977125])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKhElEQVR4nO3dT2wV5R7G8WfO6RQrBUphgQnV2ISFRo0QE1bowghoY4wxSogxKP6J3GhrjKg5NBKgSYncmGCIblwQNZcYkIXGFegGF2JJiCRIYlol4AJbaekfa+k5Z+YuZiio9954r9N7puf5fpYNJLP59jfvO+9MgziOBcBDodYXAOD/h+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8P9CHNf6CoDZQfC/kaQeBLW+DmB2EHwqjhVFCgKVyzp8WIOD6Q+BekLwklStKghUKOjbb/Xww3rkEb33nsSoR90JYvspVi4rDDU1pf37VSppZESFguJYn32m++9XHJM96kdDrS+gluJYcaww1DffqKdHhw5JUhiqXNaSJRoZqfX1AVnznfAzo/udd7Rnj86eVRiqUlEca+1a7dyp1asZ76g3jhM+ilQoKAh09qxeekmffqooSgd7U5O2b9fzz2vRovSfAfXEa8LHsapVNTSoXNaBA3rlFQ0NqVhUtSpJq1dr3z7ddZckVasqFmt7sUD2jEZYFCmK1NCg/n5t3qxNmzQ0pDBUtarWVnV369ixtPY4pnbUJ5cJPzOx339fO3bo++/T1KNIa9Zo+3bde68kFu2ocxbBJxmfP69t2/TBB9KVrfiGBpVKevFFLV2aPpwD6ls9B3/tOdkDB/TGG+rvv7piX7VKb72le+6RpEpFDY7bl7BTt8HP7LFfuKBSSR9+qHJZjY2anta8eersVHe3Fi5UFEliNx4u6jP4mYn9ySd6+WUNDKhYTE/L33mndu/WunUSr8rAT72NtjhOaz93Ti+8oIce0sBAuj8Xhurs1Oefa926dLAHAbXDS11N+Jk99sOH1dOjkyfTnflqVStXascOPfigJE7UwFedBD+T+uioSiXt36/JyXTFLqmzU1u3avlyVavpGTvA05wPPlmZJ5P8yBF1denMmfRePYrU3q6339YDDygI2IoH5vgaPjk8VyxqaEivvqq1a3XmjMJQcazGRj31lPr61NGRxk/twBye8DMT++hRlUrq60tv16tV3Xqruru1caPE4TngGnM1+GTjbXRUvb3au1dTU1dX7E8/rVJJ7e28AAP83twLfmZif/GFXn9dfX2SVCgoinTjjXrzTT32WPppOo7KAr8zl4JPPjIZBJqa0q5d2rdPY2PpqXhJjz+u3l61tUm83Ar8G/kLPon1o4908qTWrFFHR/LjmRX78ePq6tLx4woCFYuqVLR8uXp6tGmTdM0vBQB/lL+d6+QX0MGD+vhjffedOjriKK5UgzDUyIjefVc7d+ry5XTFXqno0Ue1e7fa29P/x4ka4D/IWfDJpyfiWOWyCgW1tcVSECgMdeyYdu3SkSOS1NCg6WnddJO2bdOzz0ocngP+nPwFXyjol180MaEoihctDqTpae35u/bu1dDQ1cG+YYO6u3XbbbzuBvwXchZ8YnxcExNxEATLloxO6m/P6B8HJCkMNT2t1lb19uqJJ9TUpEpFxSIrduDPyuVkHB/X2FgQx1Fzy8ImrVyVDvBKRevX66uv9NxzampKP0dJ7cCfl7MJn+S7eLG2bNHp07rjDklbtujLL3XihLZuVVdX+g/5ziTwP8jfY7nfSh7SnTqlSkWrVvHJCuAvyWXwyefjkyFeKMwcreN1N+AvymXwfxBF3MMDGcjZpl1ySvbQIa1YoY0bNTmZ/LhQoHYgA7m8Rf7xR/X3S0o/KM0LrkBGcjbhk7AnJhQEuuGGdKxTO5CRPAWfHLOTNDqqOFZrK/fxQLbyFLyuvNc+OiqJ4IHM5Sx4SVNTGhuTpNZWnsIB2cpf8Jcva2JCxaKWLKn1pQD1Jk/BJycCJid17pyqVS1cWOsLAupN/u6Zw1B3362mJq1YIfFMDshS/k7axbEmJ3Xpklpb1dRU66sB6kr+ggcwa/K0hgcwy/K0hk8+TPfDDzp4UDffrPXrtWABa3ggQ3kKPllcnDih115TS4u+/prggWzl6ZY+OVc7Pq4w1C23qLlZ4iA9kKU8BZ+0ffGiymVdf70aG2t9QUC9yVPwiZERSWpp0bx5tb4UoN7kLPhKRcPDktTSouuuq/XVAPUmN8EnO3YzwS9axJszQOZyE3yiUtGlSwoCtbRIV/40JICM5Cz4clkXLiiOtWCBpPTvSAHISM6O1kaRBgd1/rza2rRsGQ/hgWzlLHgAsylnt/QAZlPOgh8b09GjOn1av/5a60sB6lBugk9WFqdOacMGbd6sgQHpynfpAWQkN8EnfvpJw8P6+We+VwvMhtwEn+zGDw8rCLR0afpYji16IFO5CT5x8aLiWM3Nmj+/1pcC1KH8BS9p/nzejQVmQy6Db25WGHLMDshc/oIvFNIv0lerTHggWzkLfnBQUZR++oIjgEDWcvYK6pNP6vbbdd99kngyB2SOs/SAkZxN+EpFUaRikfEOzAYmPGAkZ5t2AGYTwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gn1ragJF4LvIgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9128310b9c77f4ed9264011ddecf53aa6beea156e5e23ee4b064f7014ee03e44"}
+{"episode": 19826, "episode_seed": 3601310807, "split": "train", "timestamp": "2025-09-15T23:02:32.636706", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3601310807, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.1985446019060304, -4.610081846800368, -26.90448090463002])</answer>", "action": "('move', [2.1985446019060304, -4.610081846800368, -26.90448090463002])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.1985446019060304, -4.610081846800368, -26.90448090463002])</answer>", "action": "('move', [2.1985446019060304, -4.610081846800368, -26.90448090463002])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.1985446019060304, -4.610081846800368, -26.90448090463002])</answer>", "action": "('move', [2.1985446019060304, -4.610081846800368, -26.90448090463002])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIeElEQVR4nO3cX6jfdR3H8ff39/udQTMQUZGC9EIjMSwlULowKXaRUKxlCKWQtSxZOb1It7bFLMxyI038B5Zgq/AqsYY3wxLD7U4jsz96VZsS4VxgLuWc3+/76eJ3PB6lUOZwnt/r8bj+XnwvzvP7/ny+n+/vdK21AjIMjvUNAG8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwcP/1VqNx8f6Jo4qwcP/Nh5X19VoVK0d61s5egQPr9daLSzUaFQvHq7du6vrZqd5wcNr9H11Xc3N1W8e6i9e19aurQcfrK6rvj/Wd3Y0dG1mnl3w1rRWXVdV9fzztX17u+++OnSoGwzqrLPqkUfqhBOqavGClcuEh+r7xdrH49r10/aRcyZ33NEdOtQNR9X39eyz9dhjMzLkBU+06XZ9MKiuq8d/X5/5dP/Fy+vvzwzn5qqqBl196qLJ3r21Zk21VsPhsb7dt8ySnlzTiT0Y1P79dc89tWNHe/nlbm6uFhaqqs49t994VXf5l1b4Iv61BE+oyWRxYv9sV/+jWwePP754CLew0N59XNt4dfeNr9d73ttNJovzfzYInizTv/dpwH94oq7/dr97dzdprw72tWtry7f6884fVNXCQk3X9jND8ARZmuovHq4dN/Z33l3PHxwMhzWZVFWdemrdeGOtW1erV7+62p8xo2N9A/B26Pvq++mKvfbsaZuua3/686CqRqMaj+v449ulX2jf+e7gpJOqlj0XZo8Jz+wbj2s0qqr64xP9zbcM7r23VS2t4dsnPt62b+8+duHiNn3pNH4mCZ5Z1lpNJjUa1Qsv1F131a239P/4Zzcada3VZNK//4zu6o3tyg2Lq/pZnerLCZ7ZtHxQP/BA7dxZ+/ZVVa2aq/mFqmrXXN2+dmV35plda9X3EbWX4Jk9rVVri+/bDhyorZsm9/96ePjw4na9qj56fv/9mwYXXlhViz+SmeE1/OsInpmydGz+4r9r1662/fo6eLCb9txanXxybdlSGzbUqlWLF4cM9iWCZ0ZM/1nF9Nj84d+267e33z1aVYO5VbUwX6vf1dZd3H3vhjrttMWLa+X/EuYICJ5ZsHRs/vTTdfvt7Y7bWl+DV97D9xdc0F2zsf/s54bTK2fvdP3NEzwr2/Id++23tTvvrL/8tRsMajCo8bhOOrFdd219+SvdiSfWeFzDYeJUX07wrFTLl+X79tW2bfXww1VVq1bV/HxV9Zd+vrZs7c76YFfLjuLDCZ4VaSnggwfbDTd0d99dL71Uw1FNxlVVZ36g37lz8MmLajSa2Y9kj4yHHivM0key/zlcD/yqtm7q//bMsKqGw5qM65RTav36tnXrYPXqxYulvpwJz0oyGddwVFW1d2/dcnP/y/u7qu6VNXytW1ebN9d551XN+heyR0zwrBjTcf3cc/XDnZMf/2Rw6F81t6obL1Rr7cMfqm9eW5dd1tUs/qb1KBI8K8DSuP7Fz/sf3NQ9+WRVddMP4EfdZPPW4VevaO87Nesj2SMjeN7ppoP9wIHasKH27Kn5+ZoesHfV1qxpO3Z055y7+B7eqdsb8tKOd7rpSfv8fD31VM3P12BQCwvtjNPb5k21/orFN3LT13i8IW8weaebLt1PP722bauqOu64umpDe3TvYP0Vg+mzoJy6vWmeiqwAw2G1VpdcUvv319ln19q1g3LkdkTs4Vl5bNePmAnPijFdwLdmu37kTHgIYg8EQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4LqFIBzTewSHEAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIeElEQVR4nO3cX6jfdR3H8ff39/udQTMQUZGC9EIjMSwlULowKXaRUKxlCKWQtSxZOb1It7bFLMxyI038B5Zgq/AqsYY3wxLD7U4jsz96VZsS4VxgLuWc3+/76eJ3PB6lUOZwnt/r8bj+XnwvzvP7/ny+n+/vdK21AjIMjvUNAG8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwcP/1VqNx8f6Jo4qwcP/Nh5X19VoVK0d61s5egQPr9daLSzUaFQvHq7du6vrZqd5wcNr9H11Xc3N1W8e6i9e19aurQcfrK6rvj/Wd3Y0dG1mnl3w1rRWXVdV9fzztX17u+++OnSoGwzqrLPqkUfqhBOqavGClcuEh+r7xdrH49r10/aRcyZ33NEdOtQNR9X39eyz9dhjMzLkBU+06XZ9MKiuq8d/X5/5dP/Fy+vvzwzn5qqqBl196qLJ3r21Zk21VsPhsb7dt8ySnlzTiT0Y1P79dc89tWNHe/nlbm6uFhaqqs49t994VXf5l1b4Iv61BE+oyWRxYv9sV/+jWwePP754CLew0N59XNt4dfeNr9d73ttNJovzfzYInizTv/dpwH94oq7/dr97dzdprw72tWtry7f6884fVNXCQk3X9jND8ARZmuovHq4dN/Z33l3PHxwMhzWZVFWdemrdeGOtW1erV7+62p8xo2N9A/B26Pvq++mKvfbsaZuua3/686CqRqMaj+v449ulX2jf+e7gpJOqlj0XZo8Jz+wbj2s0qqr64xP9zbcM7r23VS2t4dsnPt62b+8+duHiNn3pNH4mCZ5Z1lpNJjUa1Qsv1F131a239P/4Zzcada3VZNK//4zu6o3tyg2Lq/pZnerLCZ7ZtHxQP/BA7dxZ+/ZVVa2aq/mFqmrXXN2+dmV35plda9X3EbWX4Jk9rVVri+/bDhyorZsm9/96ePjw4na9qj56fv/9mwYXXlhViz+SmeE1/OsInpmydGz+4r9r1662/fo6eLCb9txanXxybdlSGzbUqlWLF4cM9iWCZ0ZM/1nF9Nj84d+267e33z1aVYO5VbUwX6vf1dZd3H3vhjrttMWLa+X/EuYICJ5ZsHRs/vTTdfvt7Y7bWl+DV97D9xdc0F2zsf/s54bTK2fvdP3NEzwr2/Id++23tTvvrL/8tRsMajCo8bhOOrFdd219+SvdiSfWeFzDYeJUX07wrFTLl+X79tW2bfXww1VVq1bV/HxV9Zd+vrZs7c76YFfLjuLDCZ4VaSnggwfbDTd0d99dL71Uw1FNxlVVZ36g37lz8MmLajSa2Y9kj4yHHivM0key/zlcD/yqtm7q//bMsKqGw5qM65RTav36tnXrYPXqxYulvpwJz0oyGddwVFW1d2/dcnP/y/u7qu6VNXytW1ebN9d551XN+heyR0zwrBjTcf3cc/XDnZMf/2Rw6F81t6obL1Rr7cMfqm9eW5dd1tUs/qb1KBI8K8DSuP7Fz/sf3NQ9+WRVddMP4EfdZPPW4VevaO87Nesj2SMjeN7ppoP9wIHasKH27Kn5+ZoesHfV1qxpO3Z055y7+B7eqdsb8tKOd7rpSfv8fD31VM3P12BQCwvtjNPb5k21/orFN3LT13i8IW8weaebLt1PP722bauqOu64umpDe3TvYP0Vg+mzoJy6vWmeiqwAw2G1VpdcUvv319ln19q1g3LkdkTs4Vl5bNePmAnPijFdwLdmu37kTHgIYg8EQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4LqFIBzTewSHEAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4e372f59f4aa7939a223d602ef4c3aaa50ac3a37ef332c6c64d1884aae52ca33"}
+{"episode": 19827, "episode_seed": 1346644327, "split": "train", "timestamp": "2025-09-15T23:02:33.295727", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1346644327, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8587351391026374, -2.100277704773418, -26.11091611731359])</answer>", "action": "('move', [1.8587351391026374, -2.100277704773418, -26.11091611731359])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJY0lEQVR4nO3dTYhV9R/H8e89V5saS8dwkxAqUfGvRS2CFkFCEEZQuwoDa9GmTYuC2oQtalEQFdkmClqGtIkQiXDVougJUkIXoRGlRVLjU1rNzL33v7iXyYfMh8aZe+fzenG4nBm941F839/v/M6Zua1er1dAhmahDwCYP4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIEsW+gAI0uud9ZdarXk8jmCCZ/6cT9W93mA78yln2+f8tXr/8qoLc2Rqqj7/vKamatWqWrGixsaq3a4lSwaPszvnr9utbvf014UzH8tLw6kEz6XV61WrVQcP1l131e7dg082Ta1cWRMTg+20/RUrauXKWrasxsYG2+WX//04NlZLl57vH93pVLc7+HD2haDVqnb7EvxVR4EpPfNherpmZmpsrJpmEOGhQ/Xbb+d+4vh4XXVVLV8+2Gb3+ztXXlnLlg0ex8cHO7Pb+PiFzRoS+PdgPkxN1f799ddf5/ht7XY1zWAo7vWq260TJ+rEifrll3M88bLLanz8rFv/1WHFisFrxDXX1Pr1oYO8KT3zYWqqdu+u48fr6NGanKzDh+vQoX9+PHLkfL9mf3I+O2M/H/31guuvr507Tz/VDyF4FlJ/et/pnLIdO1aHDtXk5ODx8OGanBx82N8mJ+v33/9+bn8Bb3bnnNasqe+/r04ncZA3pWeenLx4NjuuttvVbp++CLdqVa1bd+4vePjwYDttytDfmZyso0frzz9raurvbXq6/vijVq+e07/YSBE886Q5112dFzTXbLUGq/rn9NdfdfRoHTlSR48OTiiWLz+v41mUTOkZVbP/c/s7Jz/O7jRN4rz9XwieRW72vr3Zx+Tr8IKHIJHnMZBK8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8PBPFukbtAgeztDtLtY3jhc8nKFpamampqerFttQL3g4w9699cQT9dpr1e1Wt7uYmvf+8HCGrVvrzTdr1apav75uv30xzfCN8HCS/mD+0EN1883166/11FN1/Hg1zaIZ5AUPJ2m1qtOp66+vZ5+tpqlPP61XXhl8flHw/vBwql6vut1qt+uxx+qdd6qqvvyybruter1FkL1zeDhVq1WtVvV6tXlz7dxZExM1Pr7QxzRnjPDwT7rdapr65pv63/9qyZLBWn3TjPogL3g4i9k5/KKYzPdZtIOz6C/gdTrVatXnn9fjj9f+/VVV3e5CH9nFcw4PZ9dqVdPU3r11//118GBNTNRLLy30Mf0nRng4u/7q3Zo1tXFjVdUrr9SOHSN9Wd45PPyr/m12P/9c995bu3bVTTfVJ5/U8uXVjORgOZIHDfOnaarbrdWr68UXa2Ki9uwZ3JMzmiOl4OFc2u2anq577qlHHqmqevvt+uCDwZLeqDGlh/PQvyx//HjdcUft2lU33FAffVRr1w4+PzpG6VhhwfTn8MuW1ZYtdcUV1TR14EDV6H23vBEeLtDWrXXnnbV6dXU61evVklG6ti14uBCzd92N2mS+b/SOGBZSq1UzM9XpVNPUwYP11luj9SNxRmk2AkOh1ap2u3burEcfrT17amKiHnxwVAb8EThEGC6zt98tW1YzM/X00/XTT4PL9UNP8HCB+m2vXFkvv1wrVtQPP9STT9bU1GANb7gJHi5cu13dbt1xRz3zTFXVtm317ru1dOnwD/JW6eFidbs1PV0bNtTHH9e119aOHXXjjdXpVLu90Ed2VkZ4uFitVo2N1euv1/Ll9eOP9dxzdezYkN9mL3i4WP3Vu1tuqRdeqKr68MPat2/wyWHlshz8B/37cDZtqgMH6r776tZbh/yyvHN4mDv9mvqD/FD+GDxTepgLMzODH5XR7dYXXwx2ho/gYS6029U0tW9f3XNPbdxYX39dTTOE3zAveJhTn31W331XmzfXzMwQrtgLHuZC/7z9uuvq1VerqrZvry1bqmrYbr+zaAdzpL9Q1+nUAw/U++/X6tW1fftg3X5ovq9G8DB3+s1/+21t2FDff193313bttVll1UNy/vPDssLDywG/e+W77/bdFXt2FFvvDF4d8rhYISHOTV7483DD9d779XVV9dXX9W6dUNyZd6ddjCn+lfj2u16/vn65ZfatKnWrq0alim9ER4umeEY1U/mHB4ujf5QOmQDquDh0uiP7UZ4SDFktZfgIYrgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcj/AdURV32kFbFHAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8587351391026374, -2.100277704773418, -26.11091611731359])</answer>", "action": "('move', [1.8587351391026374, -2.100277704773418, -26.11091611731359])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8587351391026374, -2.100277704773418, -26.11091611731359])</answer>", "action": "('move', [1.8587351391026374, -2.100277704773418, -26.11091611731359])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "45ef555954291977f9d9f73e495a123407ce133b12f449bb1f960bc284fd78d3"}
+{"episode": 19828, "episode_seed": 3159994683, "split": "train", "timestamp": "2025-09-15T23:02:33.941651", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3159994683, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [32.15769867315306, -19.183120901387433, -43.12738415213996])</answer>", "action": "('move', [32.15769867315306, -19.183120901387433, -43.12738415213996])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKSElEQVR4nO3dzaucZ/3H8c89M6c96TE1jUmTKC4URF24cGNRVxEFUYQiQqB/gGipK2tpwTYuLIgIYgRduCp2UcWF1oU7pVipCEKhax+gmPSYaot5aHt6Zu7f4r7PSQr+zJkqnVzzfb1Ww3AWVwjv+V5zP03X932AGiarXgDw1hE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhs1UvYAl9n8VifDGdputWvSBoTdf3/arXALxFWprwV67kT3/Kiy9mezunT+fkyfS9OQ9LaCP4Iexnn82ZM9nZyaVLefLJnDyZ+TyzNv4FcFNoKZfDh/O3v6Xr0vd56aUkxjssp42j9EPY73pXJpNsbKTr8ve/J8mkjeXDzaKlYm67Lbffnt3d9P0YvAkPS2kp+K7LqVPjmbnt7cznSeIkAxxcS8FPpzl1any9vZ1XX13paqBBDQe/s7PS1UCDWgp+MhE8/FdaCj7JyZNJMplkezuvvbbq1UBrGgt+mPCzWa5eFTwsrZngh4Pzw4QfzsZdvLjK9UCLmgl+cOxYsncq7sKF1a4F2tNY8IcOZXNzPAM/BO/aGzi4xoLf3Mydd47Bnz+/6tVAa5oJfpjkt96aO+8c37Glh2U1E/zg0KEcPz6+fuEF19XCchoL/voJf/78eOgeOKDGgr/llpw4kSRdl/PnTXhYTjPBD8+9SMYJP5nk5Zdz5cpqFwWNaSb4ZDw4P5yKH/ofjtuZ83BALQU/uOOOZO+R1S+8sOrVQFNaCn44M3f4cDY2Mp+n752Kh+W0FPzg8OEcOTK+tqWHpTQZ/NGj42tbelhKS8EPW/rbbx+/xsfVtbCk9oI/fPha8Lb0sJSWgk/S99nasqWHN6ml4Lsu83m67tqEv3o1r7+e6dSQhwNpKfjsPfdmP/idnfEXKYCDaCz4wXCxXZKdnWxvJ77Gw8E0FvzwY3JHj2Y6TQQPS2os+MHRo3nb25LrtvSCh4NoLPjhzNw73pGtrSR57bVxwgMH0Vjwg/0Jn9jSwxIaC36Y8MeOXQt+OBUveDiI9oLv+7z97deC/+c/x/eBG2ov+N3dTCbjd/gkV69mPs9sZsjDjTUWfPZ27/un4i9dyssvX3sAFvAftBf8sHsfHmWZ5PLl/OMfK1wOtKTh4IcXV66MwZvwcEPtBT84cSK33JIkly+Px+0EDzfUXvDDYD9+/FrwtvRwQK0Gvz/hF4txwvsVGrih2aoXsLQh+JMnc+ut6bp03Rg8cEPtTfgkfZ/jx7O5ma7LYpGLF5O9G+mA/6C9Sobn3gxX2iwWOXQok0n63nNv4Mba29In483w587l0qUcOZL3vjdxdS0cQNcbi1BGkxN+sLubvk/XZTLxBR4OxISHQkxGKETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCL4dbRYZLFY9SK4GQl+7fT9+ONb8/mql8JNR/DrZfi1veefz0svZTodf38P9gh+jfR9+j6XLuXLX86ZM3n66cxm6Trbe/b5Mck1srub2Sy/+lU+85kkOXEi992XBx/MbDZOfsoz4dfIdJrFIh/9aJ54Iu9+d7a38/DD+eQn8/vfJ7G3J4JfK12XySRHjuTMmTzzTO65Jxsbeeqp/OAH2dkZ9/bzuR1+Zbb0a2f4Dx028I89lh/+MD/6UT70oSwWmex9vg+bf+oR/Pra/96+u5vpNF2XZ5/Nk0/mq1/N1pbma7KlX19dl/k8fT+GffFivvSlnD2bz30uTz01vunjvhjBr7XpNNkb9Vtb+eAHk+Q3v8kXvpBHHsnurkP31djSV7JY5Gc/y0MP5c9/TpKPfSzf/W4+8pFVL4u3juDruXAhDzyQn/40OzvZ2srXvpb7789ttyUx8Nee4IvZP5L3+OP59rfz3HN5z3vy9NN55zvHW26G6/BZU4Kvp++zWGQ6zV/+ku98J3ffnU99anx/+CxwWd76EnxVr7+ejY0k46G76TR//Wseeihf/GJOn05kv55s3qra2BgvuZvNxmtyz53LE0/k7rvz9a/nlVfG2l2Wt14EX9hkcu08fNflrrvyvvflX//Ko4/m9On87nfj37ivfo3Y0pNkbwN/4UIefjiPPZbd3Wxu5oEH8pWv5NixVS+O/xnBs2c+Hy/U+clP8uijee65JPn4x3PuXD784cRJu3VgS8+e4Zv8fJ4zZ/KLX+S++5Lkj3/Mq6++4SkaJkTLTHjeqO8zn2c2y2KRxx/PbJZ77hk3/PvH7ReLdJ2B3yLB8+9cfy/t0Pnly7n33hw9mrNnc8cdmc/H2+9pihsk+XeGA/jXz/Bf/zo//nGS/OEP+eY384lPJO6rb49PaP4f19fe93n/+3PvvZlO88wz+exn8+CDefHFzGbZ3V3dElmaLT0HsD/tf/7zPPLIeAD/rrvyjW/k059+wzN2uLkJnoMZjtJPJrlwId/6Vr7//fR9trZy9mzuv/8Nh/S4idnSczCTyfgInVOn8r3v5Ze/zAc+kFdeyalT4/tqb4EJz5L2N/DPP5/f/jaf/3w2N433VgieN0XhbbKl500ZvrS7r6Y1JjwUYsJDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4K+T9il2hNRMZODAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [32.15769867315306, -19.183120901387433, -43.12738415213996])</answer>", "action": "('move', [32.15769867315306, -19.183120901387433, -43.12738415213996])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [32.15769867315306, -19.183120901387433, -43.12738415213996])</answer>", "action": "('move', [32.15769867315306, -19.183120901387433, -43.12738415213996])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dc9b0526796239bea040efaf51167489ac0b9c0d02649b133f2822c645962c15"}
+{"episode": 19829, "episode_seed": 2914606302, "split": "train", "timestamp": "2025-09-15T23:02:34.916517", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2914606302, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.2243938122818898, 0.31613232676031483, 43.62555363514692])</answer>", "action": "('move', [-1.2243938122818898, 0.31613232676031483, 43.62555363514692])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJL0lEQVR4nO3dTYicdwHH8d/MThJMNqtRkIL0JtJbUfCoHgqiiH3RIJaClFJoQU8WqR40bVWKngUP3gohB3vwoEJBPdSLIFKk1ti3HFrailIiZDfrxt0ZDzO7m6RJTdKNO7u/z4dheGZmd+fZhe/z+t9nBpPJJECH4W7PAPD/I3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoMjfBTyaZTHZ7JmCfm5vgB4MMBpqHm2oOgh+Pk+Qvf8krr2QwmD0EboLdDn5jI8Nhnn8+x4/n05/O6dMZDrOxsctzBfvUbgc/3YZ/9dW8/nreeit33ZUXX8zCgubhZtjt4EejTCa5++489VSOHMnLL+eee3L6dBYWbNvDjtvt4JMMBtnYyJe/nJ/9LAcP5vTpfPWrOX06ieZhZ412ewaSZLYNf++9WV/PAw/kYx/LrbfOFgRJhnOwVIJ9YTCZnzNh0zn5wx9y2205dizr6xmNkmQ81jzsiHkK/p1eeinve19uvTUbG1lY2O25gT1v/tack8ls1/3ZZ3PXXbnvvrz1luP2sCPmL/it8XavvJK//S2//30efDD/+Ifm4b2bv+CTLCxkMsnXvpYnn0ySX/86Dz2Us2c1D+/RXAafZDDIaJRvfzsnTmQ4zC9+kYceyvLybFkA3JB5DT6bB+0feyyPPprBID//eR5+OMvLGQx2e85gr5rj4Kc78+Nxnngi3/xmkpw8mW99K4kNe7gx8zHw5mqmzQ+H+cEPsrKSp5/OZz6TJMNhJhOrerhe830efmo68Ob8+bz8cm6//ZKXZA/XY4436bdM1+eHD+f227dH1//ud1lZcc0MuC57IfhctD+fZHU13/lO7rgj3//+7BnNw7XZI8Fn8xpYSc6fz6uvJsmPfpQTJ2YXydE8XIO9sA9/sen+/Ntv5/7788tfJskTT+S73814vL1EAK5irwWfi5q/774880wWFvLDH+bRRxPH8OB/2IPBZ7P5f/0rx4/nt7/NaJQf/zjf+EZGI8HDu9ibwWez+X/+M8eP59lnk+SZZ/LZz1rJw7vYs8Fns/k338xXvpKPfCQ//WmOHZsdt/fP83Alezn4bDb/97/n8OEsLW1fG8d6Hq5k75yWu6LhMONxbrllu/Y//SmnTs3O2+/pZdmmffFLMC/meyz9tZg2P514/vnceWfOnk2Se++dqwtjXdztZQ1f9tL09OLWSUZbKuygvR98NsfeJjl0KIcOZXU1DzyQAwdy/Pj2lTB32vQNt1q9bOLih9N0h8MbbHj62TyyZ0fs8X34i0036f/613zxizlzJouLOXkyd955Y81PB+9drerh8JKAr936etbWsraWCxdy4cJsYut+OrG6mnPnsrycc+eyspKzZ/PII/noR128lx2wj4LPZvN//nO+9KWcOZMPfCCnTuVzn7tJrWxs5Pz5nD+f1dWsrs4mrvhw+mVbt5WVKzyztnbVN/rNb3LHHXO1g8Jetb+CT2br8+eey91357XX8sEP5qmn8oUvXHsu043wF17ImTNZXc3yclZWZivb5eXZw+naeG0t//73JdMXLmw/c71/162thq3ZmExy4EDW1vKrX+Xznxc8O2Bf7MNfbDTK+no+/vE8/XTuuSdvvJHvfS+f+ERuueUa1/MbGxmN8pOf5OTJjMf5z3+yvv7/+Myr8fjyd1lczLFjs/mJo3fshH0XfJLRKBsb+eQnc+pUvv71PP54PvzhjMfXtX4cj3Pu3PW97WCQhYUMh9v3l01MxwocPZqlpdlta/riife/P0ePZnFx9l1JDh5MfOIWO2E/Bp/NC11/6lP54x9z6NAN/IAPfSgHD27fDhy4/P7gwRw6lKWlLC7m6NHt2+Li7JnpS0tLOXIkS0s5cGDHf0m4bvtuH/6drnPU3fTLn3suL7yQxcUcOZIjR3L48CUTN1DvO8cBvctM2XrnJtnvwd+EMbbTS+9Mz9tt/ezLTrBf7XnYXfs9+Bs1Hmdj45JcNcw+IHgo4sgvFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPkvsqhbg50FYUsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.2243938122818898, 0.31613232676031483, 43.62555363514692])</answer>", "action": "('move', [-1.2243938122818898, 0.31613232676031483, 43.62555363514692])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.2243938122818898, 0.31613232676031483, 43.62555363514692])</answer>", "action": "('move', [-1.2243938122818898, 0.31613232676031483, 43.62555363514692])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "78f1359d7e244674536b7ce154bc36d36687187579e7fd0cd1388642f0664252"}
+{"episode": 19830, "episode_seed": 3764204405, "split": "train", "timestamp": "2025-09-15T23:02:35.550110", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3764204405, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.070220852032206, -12.975878017418324, -55.82102665454039])</answer>", "action": "('move', [5.070220852032206, -12.975878017418324, -55.82102665454039])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK1ElEQVR4nO3bX2hX9R/H8df3+91WbrXc+uMqRdZNMixTItqaw4pWkTZEMv+AZGB24U2S5EUGEStWN7aii/5c6IUGYjSYhVE504asYaMWKWUmifNCCmrl/P4553dxTt+tob+fv/bn+91ez8fVOH4nB+dz78/5nHMSYRgKgIdkoU8AwOQheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCH6aCEOFYaFPAkWvpNAngDGJOg9DpVKFPhVMBQQ/VQWBcjmVlCiZlKTz5xWGmjFDiUShzwxFLBGyEJxSwlBBoCBQaWl85Phx9fVp717V1qqtTbkc0x6XRPBTRpR6MhnP8IEBHTigL77Qp5/qxAlJmj9fhw6pslJSPPaBUQi+qEU/nJGr9DDUxx+ro0O9vTp6ND5YVqZsVkGg997Tk08qkxme/8BIXMMXo/yW+8hB/c032rlTn3yiU6f0++//+Hw6rauv1vLlWrhw9HcBIzHhi0u0FZefz0NDGhjQvn3asUPffqsLF0Z//tprdccdWrdOS5eqqoodO/wPBF8UwlC5nMJwOPVjx3T0qPbsUWensllJSiaHJ//112vePD30kFavVm1twU4bUw7BF1iUeioVD+dTp/Tllzp4UB99pNOnJSmVUjKpTCb+uqlJDQ1qblZTU/w3BIESCWY7LgvBF8ao3bh0Wp2d2r9fPT3q64sPlpUpk4k/OX++Hn1UjY26+25VVUmKVwT53xTA5SD4yRMtyEdN495e7dypgwd14oT+/FOSkkkFQfyn1dVauVLLl6uuTrNnxwczGSWTw/fngMtH8JMhelSm5O9bIhcu6MwZ7dmjXbv0449x5yNdc43uuUfr1+vee1VVFe+6R4v/KHXg3yH4CRQlKsWpZzL66Sf19GjXLu3fP3zjLT/PZ83SvHl65BGtWaObbx7+e6IP0DnGjuAnxKi7aydO6MgRffaZOjr066+S4mvvaPt9xgzV16uhQcuW6a674m/J/1hYt2McEfw4G7kbNziozk4dOKDubvX3xx8oK1M6HX9955168EE1NmrxYlVUSIpXBFyfY4IQ/IQ4dEjvv6/ubh07pqEhSUqlFATxr4OaGj3+uJYuVV2dbrop/pZ0WqkU771gYhH8uMlkdPKkdu/W3r06eVKDg6M/UFmp++/XE0+ovl7XXRfPcO6uYTLxLP1YRXfaPvhAb7yhrq744Mh6Z83Srbfqsce0cqVuuGH4eC6nRIKRjklF8GMVBEql1NWlrq643mhoz5yphQvV2KgVK7RgwfDn8xf5pI7Jx5J+rKIJf/y46uri+2cNDbrvPjU1acmSeKM+GubcV0PBEfy4Wb1aN96ohx/WbbeppkaSwlDZbPwwPFAMCH58hKH++iu+tSbFN9jZikOxIfhxxuodxYzgx010MQ8UMybRuKF2FD+CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXhMvDBUGBb6JCARPCZcLqdEQolEoc8DEsFjAoWhMhmlUgpDdXTonXckKQgKfVrWSgp9ApimosFeWqofftCbb6q9XVdeqblz1dysbFYl/McrDP7dMQFyOaVSkvT229q+Xd9/L0m3366KCoUhy/sCSoTspmAifP21XnhBnZ2SVFGhLVu0caNqagp9Wu6Y8BgnQRCP7kRCL72k9nadOydJzc165RUtWiSNmPwoEILHmIWhgiAuOVow/vabzp3TnDnaulUbN8b7dmFI7QVH8BibaLCnUjp7VjNn6oorJOn555VOa/Nm3XKLpPi6nUv3IsA1PMYgv0R/913t2KENG7Ru3T824YNASW79FhEmPP6VaGinUurr04sv6sMPJSmbVUuLKisVBPHvAmovMgSPfyWR0NCQXntNb72ls2cl6YEH1Nqq8vJ46V5aWtgTxEURPP5PYaihIfX26tln1dMjSTU12rZNGzYMR87lerEieFyeXC7eZk8k1N+vpiZJKivTihVqbVVtrSQeqil+bNrhMuQ356Kk02m1tGhgQFu3atUqic25KYPg8V/lh3Z3t37+WWvWxEdOn1Ymo9paZbPx2MdUwJIelxAN7URCuZxefVWvv67z5zV3rhoalM1q9mxJvAYz5fDTwsXk1/CHD2vLFh05IknV1TpzJh7m0Vuu1D7VsKTHJfzyi9rb1d6udFplZWppUVubamu5XJ/SCB4Xs3u3Xn5Z/f2StGiRNm/W2rWFPieMA5ZkkPT3Sy+JRLwn9/nn6u9Xebk2bdKmTZozR7lcfEmPqYzg7Y18syW/J9/aKklr12rJEknKZHhybnpgSW9s5Guthw9r2zY99ZRWrYoPRjvw0WutXLRPF0x4V/m3XwYGtH272ts1NKRsVsuW6aqrFAQqKYlffaX2aYTgLUVz+48/tG+fWlv13XeStGCB1q+Pl+7Rwp7Upx2W9JaiW2v9/aqv1+Cgysv19NN65pn4cRpMXwRvKbp6z2T03HP66iu1tWnxYokn56Y/gncVXcMPDiqdVnV1/OQca/jpjuAh7rH7IHhv+edt4IELNm+kboZrNsAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/AV4FxQ+s4GHxAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.070220852032206, -12.975878017418324, -55.82102665454039])</answer>", "action": "('move', [5.070220852032206, -12.975878017418324, -55.82102665454039])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.070220852032206, -12.975878017418324, -55.82102665454039])</answer>", "action": "('move', [5.070220852032206, -12.975878017418324, -55.82102665454039])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b231ff11a3ed61516c644db09eaa19e690eb5f526b9bbcb4b16b5d463157f72f"}
+{"episode": 19831, "episode_seed": 2140701091, "split": "train", "timestamp": "2025-09-15T23:02:36.184655", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2140701091, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2080024629698368, 2.186533408082218, -4.263606608353626])</answer>", "action": "('move', [-0.2080024629698368, 2.186533408082218, -4.263606608353626])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2080024629698368, 2.186533408082218, -4.263606608353626])</answer>", "action": "('move', [-0.2080024629698368, 2.186533408082218, -4.263606608353626])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2080024629698368, 2.186533408082218, -4.263606608353626])</answer>", "action": "('move', [-0.2080024629698368, 2.186533408082218, -4.263606608353626])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAInklEQVR4nO3d36tlZR3H8e+z9x5n9GLAzAIrHKUovUgNNEsFhVTSIDErayREDCak7AeEEgYGYeWFoHMhSoxDpRUWVpaKDvirGcHRRKELSfDam3FQp2bO3uvpYvsXOOfsveXzel2dc7c4rPd51nrWd6/deu8FZBgt+wCAxRE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBH80vRes9myD4Iwrfe+7GNI13u1tuyDIIMVfgl6r97rwIG69946dEjtLI7gl6C1aq3+9GDt2FFnnll33lmHDy/7mMjgkn4Jeq///q8+ffrw2uujqjrhhNq/v7Ztq2Gokf/AbCTn16INQ7VW9/26v/b6aDKpquFHP+zbtlUfXNuz4QS/UL1Xq3r77dq5s7eqYaiTt7WrrqqqGmzdsfEEv1DTabVR7d41vPqfURvXMPTtV/ePf6JNpzUeL/vgCDBZ9gEEGYYaj+vgwdq1u81m1Vpt21bXfKvN9/BgAazwizPfk/v9A/2FF/poVK3Vl780nHZaW1uzvLMggl+QYajJpA4c6Lt3V9WoD3XiB4fv/WDcu9pZHMEv1MMP13PP1XhUveqrV9Wpp1bvHsWxOJ7DL8J8ePbgwfriZbVvX41aHbd59u9Xxx85Se0slNNtcR5/vPbtrU2TGob69o7Rxz6qdhbNCr8IvdfaWp13Xu3fX+NxbdlSL79cp5xSVfbnWShLzIabj9b97a99//6aTGo2qxtuqJNPXvZhEUnwG661WpvWL27rVdV7fejDtX17jcfv/iOARRL8xpoP2Pz5wf7iS6PxuGaz/o2v9dNOq9nMDTxL4KTbQPPN+dms7tpZw1DDUCedVN/cXps2eekFyyH4DTRfxv/4h/7889VGVdUvvbif89m2tlYTM80sg+A3ynyQ9tA7tWtXHTnSaqgPHF/fvXFUZbSOpRH8RpmP0D3ySH/6mRqNqlddekk/6yxvuWCZnHobYl77W2/Vrvvq8OFWVcdMhp/cMrIzz3IJfqO0Vvv21WOPtU2bahjq61e300+v+YfkYFkEvyFaqyNrdccdNZ3OV/v+45va/GW1sESCX3/zsPf+sx59tCaTmk7ruuvapz657MMCwW+Q1upntw7zn7dureuvr8nEs3eWT/DrbBiqqvY8UU893cbjmk77V67sZ5xhkJaVIPj1NL+Yb61+9cthGFrvdfzxbfs1tWWL5Z2VIPj1NJvVeFz/+Hvfu2/UWg1Dv/gLw4UXttnUs3dWgtNw3czfOX/kSN1zT3/7nV5VW7e2Hd9p43F1n3tnNQh+3QxDjSe1Z8/w5FOj0aj1XhdcMFx0UZvNTM6zKgS/Pua36IcO1W9/0w4e7FU1Hvebbhq5dWelCH59zGdpX3yhP/SXPpm0YahLLu7nn19V7t5ZIU7GdTCvfW2t7r67HTo0/5MOt/x0ZK6OVePmcn30Xq+8Ur+7/93RuiuuqLPPdjHPyrHCr4P5l8Pddtu7v27eXDfeOJpM3h3CgdUh+KM1H7b510v10EM1GtV0WpdfXuecY9KGVST4ozWfmf35rcN0WlV17LH92mvruOPM0rKKBH9U5qN1+/bVnidbazUMddFF7ZJLvNaGFeWsPCp9qKHXzruGN9+sanXsln79dX3zZss7K0rw7910WpNNtffZ/sSe1lrrQ517bl1xZRsGr6lkRQn+PZo/e5/N6oH76403ajSq8aS+f2O1ZruO1eXLJN+j+d3700/XZZfV4cM1ndbnPzc88+xo/ogOVpMV/j2a78mdeGJ95qya78/ffHOzUceKs8IfrcOHa8+eevTRuv32OuYYyzsrTfAQxDXoOvD+ad4vfHhmHbiM5/3CCg9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/g8j2NbK/8GA3gAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAInklEQVR4nO3d36tlZR3H8e+z9x5n9GLAzAIrHKUovUgNNEsFhVTSIDErayREDCak7AeEEgYGYeWFoHMhSoxDpRUWVpaKDvirGcHRRKELSfDam3FQp2bO3uvpYvsXOOfsveXzel2dc7c4rPd51nrWd6/deu8FZBgt+wCAxRE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBH80vRes9myD4Iwrfe+7GNI13u1tuyDIIMVfgl6r97rwIG69946dEjtLI7gl6C1aq3+9GDt2FFnnll33lmHDy/7mMjgkn4Jeq///q8+ffrw2uujqjrhhNq/v7Ztq2Gokf/AbCTn16INQ7VW9/26v/b6aDKpquFHP+zbtlUfXNuz4QS/UL1Xq3r77dq5s7eqYaiTt7WrrqqqGmzdsfEEv1DTabVR7d41vPqfURvXMPTtV/ePf6JNpzUeL/vgCDBZ9gEEGYYaj+vgwdq1u81m1Vpt21bXfKvN9/BgAazwizPfk/v9A/2FF/poVK3Vl780nHZaW1uzvLMggl+QYajJpA4c6Lt3V9WoD3XiB4fv/WDcu9pZHMEv1MMP13PP1XhUveqrV9Wpp1bvHsWxOJ7DL8J8ePbgwfriZbVvX41aHbd59u9Xxx85Se0slNNtcR5/vPbtrU2TGob69o7Rxz6qdhbNCr8IvdfaWp13Xu3fX+NxbdlSL79cp5xSVfbnWShLzIabj9b97a99//6aTGo2qxtuqJNPXvZhEUnwG661WpvWL27rVdV7fejDtX17jcfv/iOARRL8xpoP2Pz5wf7iS6PxuGaz/o2v9dNOq9nMDTxL4KTbQPPN+dms7tpZw1DDUCedVN/cXps2eekFyyH4DTRfxv/4h/7889VGVdUvvbif89m2tlYTM80sg+A3ynyQ9tA7tWtXHTnSaqgPHF/fvXFUZbSOpRH8RpmP0D3ySH/6mRqNqlddekk/6yxvuWCZnHobYl77W2/Vrvvq8OFWVcdMhp/cMrIzz3IJfqO0Vvv21WOPtU2bahjq61e300+v+YfkYFkEvyFaqyNrdccdNZ3OV/v+45va/GW1sESCX3/zsPf+sx59tCaTmk7ruuvapz657MMCwW+Q1upntw7zn7dureuvr8nEs3eWT/DrbBiqqvY8UU893cbjmk77V67sZ5xhkJaVIPj1NL+Yb61+9cthGFrvdfzxbfs1tWWL5Z2VIPj1NJvVeFz/+Hvfu2/UWg1Dv/gLw4UXttnUs3dWgtNw3czfOX/kSN1zT3/7nV5VW7e2Hd9p43F1n3tnNQh+3QxDjSe1Z8/w5FOj0aj1XhdcMFx0UZvNTM6zKgS/Pua36IcO1W9/0w4e7FU1Hvebbhq5dWelCH59zGdpX3yhP/SXPpm0YahLLu7nn19V7t5ZIU7GdTCvfW2t7r67HTo0/5MOt/x0ZK6OVePmcn30Xq+8Ur+7/93RuiuuqLPPdjHPyrHCr4P5l8Pddtu7v27eXDfeOJpM3h3CgdUh+KM1H7b510v10EM1GtV0WpdfXuecY9KGVST4ozWfmf35rcN0WlV17LH92mvruOPM0rKKBH9U5qN1+/bVnidbazUMddFF7ZJLvNaGFeWsPCp9qKHXzruGN9+sanXsln79dX3zZss7K0rw7910WpNNtffZ/sSe1lrrQ517bl1xZRsGr6lkRQn+PZo/e5/N6oH76403ajSq8aS+f2O1ZruO1eXLJN+j+d3700/XZZfV4cM1ndbnPzc88+xo/ogOVpMV/j2a78mdeGJ95qya78/ffHOzUceKs8IfrcOHa8+eevTRuv32OuYYyzsrTfAQxDXoOvD+ad4vfHhmHbiM5/3CCg9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/g8j2NbK/8GA3gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fc3b74dad373002757ba00b3b060b2b9a54b5ba82387107ccad05df1ef1b0648"}
+{"episode": 19832, "episode_seed": 2616091959, "split": "train", "timestamp": "2025-09-15T23:02:37.176782", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2616091959, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.188684240307229, -1.7985708702017549, -1.199821978454338])</answer>", "action": "('move', [3.188684240307229, -1.7985708702017549, -1.199821978454338])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKrElEQVR4nO3cyY8V1QLH8e+9t/uJAy1oHGiNbnDA6AI7DlHRiHFctIEQiIo4BRwXLvwD3Gpi1ESNJopTDE5xQAFBgxiCGjWoOCWgdhxi4oizYt9b9Ra3kG6evsdT6eb27/tZEVKVnAXfe06dOkWtLEskZaiP9gAkjRyDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBj+iypKyHO1BKFjXaA8gS60GVM23/yyNJGf4EdKO/Msv2bCBWm1L7UXhnK+RY/AjpCgAli2jr4/+fp55hh9/BKjXqdVoNs1eI6FW+g9t+ytLajW+/ZaZM1m1qmr7sMO47DJOPZVDD60uGxyk0aDuj7C2G4MfCUVBvc7bb3PEEQC1Gl1dDA4CTJzI3LmccQYnncSuu4LZa3sy+JHz3Xc89xzLl/PQQ3z/PUB3d5V9o8Epp3D66cyZw377ARTFsEd96R9h8COtLFm3jhUruPNO1q8HqNe3vK479FCmTWP+fI46asstxq9/isGPnLKk1aJr85vQjRtZvZqbb2bNGjZtAqjXq729nh6mTuXKKznrrGqdDzSb1Osu9fW3GPxIa0/mQ7tdt47bbmPFCgYGtr74gAO44gr6+5k8me5ugMFB6nUajZEbsMYSgx81Wx2/+eor7ruPpUt58UV++QWGPOGPG8c55zBjBiecwMSJYPb6qwx+9JUlRVHV22rx9NMsX86TT/LZZwDd3Vve0k+fzmmncfbZ1Zu89vrfRb62ncHvKMqSZpOurmrOf+stVq1i4ULeeAOg0ajO5wCTJ3PccVxwAdOnD7sdj+vqfzH4HUt7Y6+dN/D117z2GnfcwdNPV8v7Wq1qu6eHKVNYsIBZs+jpqW5vtajVnPP1pwx+R9Re5A9N9/33uf12HnuMjz+m1YIh5e+7LxdeyNy5TJ7MTjsBNJvUaj7h6w8Y/A5tq4X6zz9z77088QSvvsrGjQBdXdU6HzjnHGbP5uij6e0FN/b0Rwy+Y7TP57Y9+yxPPcXSpXzwAUB3d7UFABxzDP39nHkmU6dWd+HGnjYz+E7SfsL//fjNu++yejWLFvHCCzB8Y+/AAzn+eObMob9/2O24sZfN4DtPO3uoDu1t3Mi6ddx9Nw8+uPWJvd1245BDOPdcLrqoeoGvcAbfwdrZt5/Sy5JPP2XhQh54gI8+4rffhl05cSLnnccll3DwweyyyygMVTsIg+94Wy3UBwd55BHuv5+1a/niCxi+sdffz623sv/+1Sf6SmPwY8rQjFev5okneO451q0DGDeOZpPDD2fpUiZNGrYFqBz+J5ZjSrv2VouyZNo0pk1jYICVK3n8cZYsATj3XCZNqs72KJAz/JjValEU1Td233/P66+zciWzZnH44VuO7iuNwY9xRUFRbPkIX+EMPsJ/foSvTAYvBfE3Xwpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLw6VlEwOEhRjPY4OkmtLMvRHoP09zSbNBrUaqM9jg7gDK8O1J7VBwa4+WY2bKCri1oNp65tYPDqQO3gFy3i6qs5/XSuuor167fM8Jb/5wxenaYs6eqiLPn1V8aPZ2CAW2/lmGOYN48332Rw0LX9f+EzvDpTUVCvs2EDN93EsmUMDAA0GsycyVVXceKJ1WXNJvU6dSe2isGr8w0McPfdLFnC2rUAJ5/MypXVwr4927urt5nBq5OVJc0m3d0An3zC4sU89BDXX8+xx1YXLFnC1Kn09lYXxzdv8Op8RUGrVWX/+efstRdlSaPBSy8xYwZ77MGcOVx+OXvvXV0fXL7PNup89Trd3RQFzSb77EO9Xm3jr1nDN9/w3ntcey19fVxzDR99BMTWjjO8xpr2Zh6bp/FXXuGGG3j+eb78EmD8eObNY8ECpkypVgRFQa2W8xNg8Aqwdi133cXy5XzwAUBvL+++S08PxO3qdY32AKTtqSxptTjySI48knfe4dFHefRRpk9n991ptWg0WL+e/fdnl11gyOpg7HKGV4Chu3offkhPD3vuWf39aafx88+cfz4XX8y4cdX1Y3dXz+AVo9WqTukBzSZdXSxbxowZbNoEMGUKF1zApZcyYcKojnL7MniF+X2Xrv0Of8UKbryRl1/mp58AJk3issuYN49Jk9hpJ2DYAZ7OZ/ASrFjBwoWsWsXnnwP09rJ4MX191XN+UVAU1dKgwxm8spUlRUGjAbBmDQ8/zMMPM2ECa9YwYQK1Gr/+ys47w+ZP9Dp8V8/gpeGP96+9xqZNHH98Nb1fdx3PP8/FFzN79miP8h9g8NJmrRZQzfbtV3TffMOUKXzxBf/6F319zJ/P3LnVbn9nMnhpiPYKn83ZN5vcfz+33MKbb1Y/BwcdxKJF9PV16Ks7g5e2waJF3HMPq1fTajEwQG+vwUtjUVlSltVe3eOP88MPzJs32mP66wxe2gZDH+87c25vM3hp27SP5UNHv5A3eClIZ58ikPR/MXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQf4Nkz/yzZ1hzjsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.188684240307229, -1.7985708702017549, -1.199821978454338])</answer>", "action": "('move', [3.188684240307229, -1.7985708702017549, -1.199821978454338])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKnUlEQVR4nO3db6iW9R3H8c99/thfS4pyuvUoIhyLLQ1WSGs1ajSWW7lqD8qG0B+tgYPtafS0KNZgQUTqXDVZKG0y5xJbwnKLMEmGFUmdogdh2xpt1Tqd+9z3HtyXepTaLNTb+3xfr4dyHfiBvv1d1+/6nd/V6na7AWoY6vcAgKNH8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgOVi3m26334PgyBA8B2u10mql3Zb9NCR4Dvbeexkfz8hIWq10Ov0eDYeV4NlvcjJJVq7M17+eu+/OP/6Rob3/QNznTw+trr9GkqTp+T//ycKFeeGFtFo566wsWpQVK3L22c01vQl/yDQxsARPo93OyEjWrcu11ybJ8HAz4Y+O5nvfy/Ll+fKXM3NmkkxMZGgow8P9HC2fjeBpdDoZGsrLL+fBB7NlS3btStJU3Sv/8svzgx/k4otz1lmJ7AeT4PkYb76Z9evzu9/lqaeSNAt4ExNJMn9+Fi/OokX50peSZHIyrZab/IEheA7Q7WZiIjNmJMk//5mtW7N+fR57LElarQwPp91OkrPPziWXZOnSLFx4wM+2Wv0YNIdM8HyMTieTkxkdTZLx8bz4Ylavzpo1+de/kimP96efnvnzs2xZvvvd/al3Os2bfI5BgucTdTrpdvc/pb/1VlatyurVeeONZp7vGR7OuedmxYp85zs588zmD9vtDA/L/pgjeP6P3hv4fU/p4+N59NH88pfZsSPvvZckIyNN/5/7XG6/Pd/+dr7ylebiiYnm+Z9jhOD5FKY+pf/2t3niiWzalLffTpIZM/LRR0kyc2auvz6LFuXKKzMykm63Wf+X/bFA8Hw6vYC73YyMJMmzz+YPf8gjj+S115JkdLRZzB8dzTe+kauuyk035aSTmh9MZN9nguczarebdfskr7+erVtz//3ZuTPZW3XvduCLX8zixbnttsyZ0/ygVb0+EjyfXW+23/ce/v3388wzuffe/PnP+eCDJBkaanbjnnZaFi/OD3+Yc89t3vl5gd8XgucwOGjS3r49DzyQrVvz+uvJlNd4SRYtyvLlueCCnH56YrveUSd4DqepD+qvvpo1a/Lkk3nuueTAXbqXXJLvfz+XX978Ws7ERIaHzfZHg+A5/LrdTE42q3p79mTjxqxfn9//PkkTdm9h77zzcuWVufbaXHBB81OxqneECZ4jZep2vXffzfbtWbs2a9Y0L+33vb3//Odz0UVZtiyXXdbP0RYheI6sqdm32xkby6pVefjh/P3vSdJqNRP7SSflvPPyox/lW9/KySf3c8DTm+A5Gg7arvfuu3noofzqV3nppYyPJ1PW8885J3femRtu6NtQpzfrJBwN+97A9eaXU0/NT36S55/PypW56qrMmtXUPmNGdu/O3/62/0oOLzM8/TH1tKwtW7JhQ9aty1tvZfbsvPxyZs3q6+CmL8HTN73F/H3b9f761/zmN5k9OzffbK3+SBE8fXZQ9r3ftOEIETzHislJW+6OOMFDIW6eoBDBQyGCh0IED4UInoHV6WRiwgduPxWr9Aw+Z2IfMjM8A6g3q4+N5Wc/y+7dzVHYpq5DIHgGUC/4tWuzYkW++c3ccUdeeWX/DK/8TyZ4Bk3viOxuNx9+mJkzMzaWBx7IV7+aJUuyc2cmJtzb/w+e4RlMvT33u3fn/vuzaVPGxpJkeDjXXJM77sjXvtZc1m5naMju/H0Ez+AbG8vq1dm4MTt2JMmll+aPfzzgiDyrensJnkHW7abdbg7QevPNbNiQX/8699yTCy9sLti4Meefn7lzm4vLNy94Bt/Uc/P27MkZZzRfvf3LX3L11TnttFx/fZYt2/9p28Lle7Zh8A0NZXQ0nU7a7cyevf98vG3b8s47eeml3HVXFizIj3+cN95ISh+FbYZnetl3gEZvGn/uudx3X55+ujkob+bMLFmSW27JvHnNHUGxL90JngJ27MjKlXnyybz6apLMnZsXX8wppyTlVvVG+j0AOJJ6B2jNn5/587NrV9aty7p1ueyynHpqc8LOK6/kC1/IiScmJY7XMsNTwNRVvddeyymnNN+y7HRyxRX54IPceGOWLs3xxzfXT99VPcFTxuRks0svSbudkZFs2pSrr24+hTFvXm66KbfeOr2PyBY8xexbpeu9w9+8OT/9aZ59Nu+/nyRz5uS227JkSebMyXHHJdPtG5eCh2Tz5qxala1bs2dPksydmw0bsmBB85zf6aTTaW4NBpzgqa3bTafTnI+9bVsefzyPP55Zs7JtW2bNSquVDz/MCSckB34rZ2AJHg58vN++PePjWbiwmd7vvjtPP52lS3Pddf0e5WEgeNhrcjLJAV/AeeedzJuXt9/OjBlZsCA335wbbmhW+weT4GGK3h1+9mbfbueRR/Lzn2fnzua/g3POydq1WbBgQF/dCR4Owdq1+cUv8qc/ZXIyY2OZO1fwMB11u+l2m7W6J57Iv/+dJUv6PabPTvBwCKY+3g/m3N4jeDg0vW35yUC/kBc8FDLYuwiAT0XwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkP8CwOnxS3m6cJ8AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.188684240307229, -1.7985708702017549, -1.199821978454338])</answer>", "action": "('move', [3.188684240307229, -1.7985708702017549, -1.199821978454338])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIMElEQVR4nO3cz49dZR3H8e85d1pZlOiClkAINOGXbmhCpkQIJSwsKApqQBOjmC74EWNEakRX3RD+AQsJUCVYbQtESYYJGxpiqBIxMa4sGxJgSbCUQDS007lzHhf39oc1/kAShzuf12vdkzyZ5N3nOd/75HSttQIy9Ku9AOD/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPDMpNaqtdVexAwSPDOp66rramVltdcxawTPTBqPq6pGoxqPa2W82quZHYJnxkxO8s8+W/fe215+uebmajRX43ENw2qvbBZ0zZsQs6O16rp6//265pp67bXauLFu2j7ceWd38+e7Ovl/Qdet8iI/zgTP7Nm7t3bsqLm5ycG+feqT3fzW4b77+ltvnf6DyUivd379J/4kzJ4LLqj5+VM9d++9Xy++2N9xR83PD8880/721+q66vsaBlO9s9nhmTGTU31VLT7XHnm4/fFP/XvvtapuNJrm/ZlPD/fv7G+6qTZvrqpaXq6+r9FoFZf8MSJ4ZtKp7A8ebL/Y2154oX/naKvq1q2r5eWqqksvrbvuqltuqauuqqoaj6vvHfIFz8wahmptunX/7rdtcbHt/XkdOdpVdevX14kTVVWbN9dtXxq+9e1+69bpI5Mf8GMJntm2slKt1dxcVdWrf26Lz9fDD3dvvVVVp6d6F15Y265v37+/v/ba6VOx83zBsxasjKs7eWI/cqSeeqp276433pjO6oehqtq553bXfXb40Y/7bdtq3fqqqpWV6Xgvh+BZI876Ke7Y8Tqwrz36WL16uDu+VFXVddONfdt1w84f9tdfXxs3VlUtL9dolJK94FlrTs3zJg7sb7/cV4deqmPHq+u7udF0qrd1a919d23ffnqYn5C94FmzJpdtJw0vLraFhTqwvy2d6Pq+G53MfsuWuv2rwze+2V92WVXVykr1/Vp+txc8a1lr0xf1yTD/ld8Pv/p1//jj9cEHVWdM9a64orZ/rn3vvv7KK08/WGtxqid41r5J9qPRNODXX68nn6w9e+rIkaqqkzd22qZNtX17e+CBfsuW6YNrb6oneFK0VsNw+srdkXfqiT3Dz57o3nizO2OYX6NR3XbrcP/O/uqra8OGqrX1ei944pw51Tt2rH66Z3j6mfrDK12rGs111aZXdG++ue65p264oc47r6pqebnm5mb+kC94cg3DdN9eWqqnDgwLi91zC5Nr+V3fT6d6N95YX79juP1r/aZNVbM/1RM80c58vT++VC/9Zth/oN+3r1V1k7v343FVDfPz3Re/0L7z3f7881d7xR+N4KFaq/G41q2rqlpaqlcPt0cf6/bvr2PHqqpGc5OvaLXNm+srX247f9BffPGqLvcjEDxMTXb7ybX81urNN2v3T4ann+7e/ktXp4f5tWFD7dhRu3bVpk1nX/L5+BM8/IOzfoF/++16ZPewsNgdPlxV3fpP1ImluvzyOniwLrlk9r6rI3j4l05t4EeP1t4n2+LzdehQVXW7dtWDD9by8vQtYIYIHv6dM8/5775bCwt16FA99FBddFHVDF7FEzz8Z5PP40328+PH65xzVntB/yvBw3/r1Dd2Zm5Wd4rg4cOZ3drLZ6rhw5rd2kvwEEXwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOTv6ELfI43YNZgAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "94b7919ddeabd50bdaab0d2032b510e572edf45c0893454ae3ffe54f2933cf92"}
+{"episode": 19833, "episode_seed": 702187180, "split": "train", "timestamp": "2025-09-15T23:02:37.830878", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 702187180, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.0927805367431362, 3.2686364632507527, -51.22119637785746])</answer>", "action": "('move', [-1.0927805367431362, 3.2686364632507527, -51.22119637785746])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALBklEQVR4nO3dXYgV5QPH8d8zc45viJomGi2aLhSaoiStpalrFyEkBRFZIr3AFkIXXUZFERFBlymBXVRIEd4UGQhhUSmmlouppWj5EkjZZlarmeWemflfzIj+MS9nRub3/VydPVeDu9/zPPPMcx5DlmUC4CGq+wIAVIfgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvDNkmXKsrovAlcvgm+WEBQCzeNKCL4p0lSStm3T7t0KQUlS9wXhakTwjZCmiiJt2qTeXvX16fhxxTHjPC5H8I0QRZI0OKhRo/TNN3riCZ09W/c14WpE8I2QZUpTrVypl15Su62PP9ZTTymEYp4PXEDwjZCv1XU6evJJrV4tSW++qRdfVBSxbo9LhYy/hsbI2x4a0ooV2rhRcax169TXp05HrVbdF4erAsE3S756NzioZcu0c6dGjNDGjbrrLiWJ4rjui0P9mNI3Sz6HHztW772nadM0ZYpGjiym9HyygxG+yb79Vq2WZsxQmhY3+bBH8A2Vz+0vfXH+vIYNU5ZRvjOm9A0VRUoSdTqKIv36q5YvL1bv4Y3F2+aKY3U6krRunTZtkqQbbtALL6jTURwzzntiSt9o+QT+n3+0YoU++kijRun11/XooxoaUqtF84YIvuny5k+e1N13a9cuTZ6sDRu0ZMnFe3s4IXgDefMHDujee3X4sKZP1+bN6u5mAc8Qn/EG8l23M2dq7VqNH6+jR/XggxoYoHZDBO+h1dLQkJYt06uvSlJ/vz75RBLfrnHDKr2NdltJUnxbfvJkrVolSWmqLGPXrQ/u4c1cet9++eYcNB2/ZjP56Vf5AVhRpLfe0ocfFrXz0W+AEd5SPs6/844ee0yjR2vzZvX0MM474BdsKf+U7+7WpEkaHNTKlfrxx+Kbdmg0grcURep0tGCB3nhDo0bpyBE99JAGBzkVq/EI3lWrpSTR8uV67TW1Wtq5U319+uuv4ng8NBTBG4tjpan6+vTMM5L0/vt6+eViDZ+5fUOxaGcvTZUkevxxrV+vEPT223rkEY7Eaio23tgLQe221q7V0aMKQUuXFu+zaN9EjPC48JTuzBmdP68JEy4O7zTfOAQPSZfswMtf/PKL/v1XU6fSfMPwu4QkFbXnx13u3Kn779eqVTp5sngTTUHwuEQ+3Tt2TF9+qW3b9PTT6nR4ON8kBI9L5P/n7AMP6NlnJWn9er3yikJgE15jcA+P/zI0pIcf1oYNimOtWaPVqznZvhkY4XGZNFW7rTVrtHChkkSffqpz5yR24zQBIzz+S744v2+f3n1Xzz2nsWM5AK8ZCB5XQOFNxJQeVxCCskydDjP5JmGEB4wwwgNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjLTqvgBYSFOlqbJMrZZCqPtqjIUsy+q+BjRclhH51YIRHqULQQMD2rFDAwO67z5NnMhHQG0IHiXKw/7gAz3/vI4f15kzmjVLEycqTRXHdV+cJRbtULpJk3TggM6elaRDhyQxvNeG4FGiPOx583TddQpBIWjHDnU6iiKxdlQLgkfphg3THXcoSZRl2rpVf/5Z9wUZI3iULoq0ZIlCUKul77/XiRN1X5Axgke50lSSenoursx/9ZXEbXxNCB7lysO+/np1d2toSJK++KLWC/JG8KjChAlasKB4vWVLUT6qR/AoVwhKUw0frp4eSYpj/fSTDh6UxEJ9DQgepctv42fO1PDhyjJlGbP62hA8ShdFkjRtmm66qYg/Dz5/jSoRPEqXz+qnTNHs2cU7e/ZoaIjtNzUgeJQuBHU6imPdfHPxzu+/q79fIRB81QgeVchn9XPnaswYSTp9Wtu2KcuUJPVelx2CRxXy4G+5RVOnSlKa6uuv2XtTA4JHFaJInY4mTSqCl3TkiP74Q60WS3eVInhUJH8gN29e8ePx49qzp1jPQ2UIHhWJIoWgRYuK2/jfftPevRLbb6pF8KhI/hDu1ls1blzxzr59xdE3NF8ZgkdF8tn7mDGaMaN4Z/9+nTjB0/hKETyqk6/V9/ZKUgj67jsdPSqx5a5CBI+q9fYqBMWx/v6bI+6qRvCoTh723LkaP15JohC0a1exCY9ZfTUIHlUbMUKLFhVP6bZv16lTdV+QE4JHDZYuLY64279fAwMSD+eqQvCoVB72woXKsmJ9fvdu6cJ6HsrGPzNq0NWlrq7ioKstW1ilrw7BowZjx2rx4mK037JF58/XfUE2CB6Vyr8DP2KEbr9dktptHTtWPI3nNr4CBI+q5RP42bPVbv/fiVeoAMGjHlOm6MYbiwMwPv9cYoSvBMGjavnifFeX5s4t3unvV6fDiVdVIHhULT/irt2+eKblqVPFd+MJvmwEjxrke2xnzdLo0ZJ09qy2blWW8XyudASPGuTbbObM0fTpkpSm2r6dr9BUgeBRgyhSkqirqwhe0uHDOnOGb9GUjuBRjyRRlmnOnOLHn3/W7t0ccVc6gkc94lgh6LbbiiPuTp0qNtVzUn2pCB71yG/j58/XtddKUpoWZ1oyqy8VwaMe+cO5a65Rd3fxzqFDOnGC4MtF8KhNviy/eHHx4sAB/fCDxJa7MhE8apPP6pcsURwrjnX6tA4elAi+TASP2uQDe0+Pxo0rzsPYu1dJwqy+RASPmg0frvnzlaZKU332mQYG2GNbIoJH/e68U5ImT9bIkTp3ru6rabRW3RcA6J57FEXq7S2+P5dP71GGkDF5wlUjTRUCm+pLxAiP+qVpsVZH7WVjhAeMcKsEGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkfL7nLt6dPNYMAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.0927805367431362, 3.2686364632507527, -51.22119637785746])</answer>", "action": "('move', [-1.0927805367431362, 3.2686364632507527, -51.22119637785746])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.0927805367431362, 3.2686364632507527, -51.22119637785746])</answer>", "action": "('move', [-1.0927805367431362, 3.2686364632507527, -51.22119637785746])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIm0lEQVR4nO3dS6ge5R3H8f+8l5MIBrw0RkFIRIUUErxu3ZRYFKmorQtjNb1ANFXEbLS2umqhNuhC6VG09RYvEbykNFVKEyI0uGipGzfiOqDduBC15LyXmS7eg0prXZUmmd/nszuczcDLd55nnnlmpum6roAMg+N9AMD/j+AhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOD7o+uqbY/3QXBiE3x/NE0NBprn6wi+D7quqmplpY4ercFg9U/4T4I/6XVdNU3NZrVrV119db33XjVNzefH+7A4ITWd4eDk9/HHdeONdfBgVdUVV3SvvNJs2LB6IoAvM8Kf3D6fzH/wQVV1S0t15Eize3c3nR7nA+PEJPiTW9NU19VZZ9X+/d3GjTWZ1HBY+/bVz+7rFvN8+DLBn/Saptq2LryweeaZZv366roaj5uHHu5+82g7GlXrYp4vcQ3fB11X83mNRvX0U93tu2o+bwaDGg7afS/V9d8dzGY1Gh3vQ+TEYITvg6ap4bBms/rhj5qf3tO2bVdVK5PBztuaI0fa0cjcnlVG+P5Y/JJNUz/+wfzp5wZr1jQrK7V1S7f/983551fb1sDpPZ7ge2VxK25lpa79Tvvng8143EyntW1bvfZarVvnLh2m9P2yWLRfs6b2Pj+46KKaTms0qkOH6o47qiu7bhF87yya37Chnn222bixZrNaWqoXXqj772sXu25N6ZIJvocWd+AvvrgefbROPbUmkxqN68Ff12PLrV234QTfT6NRTad17bW1Z09X1XVddc3gnnua/fu7xb/IJPjeGo2qbWvXrubn97XzWbt2TX32z2b37nrn7zUeG+dDWaXvs8UV+2BQO25p976wumh/ySXdG28055zj6ZpEgu+/rqtPP63rrusOH27G45pOu23f6v7wx8Epp2g+jil9hHXr6qmnmq1bu+m01qxpDh1ufnK7OX0iwfffYtF+06Z6/PE6a327slLjcfPs3sEDD6z+yyQvhyl9isUjNPtfbW/6fs1mg8W1/fJy7dy5uj/H3D6B4IMsttMvL3d33tksLdVsVmecUfv21bZtdtqnEHyW+byGw7r33tqzpxZP0Z13Xvfmm83mzRbwIgg+TtvWbFY7dtTLL9di0f6iLe2hw8NvrNd8/wk+zqLqjz6qG67v/nKkWVqqyaS76sr2wJvD0UjzPee6LU7TVDuvM8+sJ56o889rJ5Maj5s/HRzsuq2dTGo+t2jfZ4JPNBjWbFabv9k891ydcdp8Pq/hsPnd04M9e7rFm3M031em9LkWC3ivv9pu317zGlRXa9d2Tz7Z3HRTtW01jbl9Dxnhcw2HNZ/VDd8b/OrBZjatrqvPPmvuuqt7+23fq+otI3y6xR34u++uRx5ZLNrXuefWW2/VBRe4Od9Dgk+3WJY/dqxu3t6+vn+wtFSTSV12WR08WKefbtG+b5zA0y2+Y7F2bS0/Nrj88ppMajyqd96pHTu6Tz6ptvUmvF4RPDUY1HxeZ59dzz9fmzbVdFajUR040Dxwf9d11bau5/tD8FTV6ncsNm+uvXvr9NO6tq2lpXrs8Vpe7hZfrdF8P7iG5wuLJ+peerG75damqpqmxuP5vpcG113fWMDrB78hX1i8Bm/7zc0vf9EtbsUfOza89Zb2b3/t3KjrByM8/26xMn/bzvbJ366+Bm/TpjpwoLZssWh/0jPC8xXath56eHDVle102lXVhx/W++8f72Pif8EIz1dYXLH/48Puym/X0aPNiy/WNdcY3vtA8Hy1xU77d9+t2awuvdSuu54QPP/V55Ev4qcHBM/X+fxTFvSD4CGIUzcEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+RdwjzCUtiTwbgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "77ed54470bf94d83e9777d36edfa2f89d532d98b0720062face44c79ab1fe1a7"}
+{"episode": 19834, "episode_seed": 2950813685, "split": "train", "timestamp": "2025-09-15T23:02:38.483308", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2950813685, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.855387643837384, 14.24451353691417, -25.431499897652103])</answer>", "action": "('move', [-1.855387643837384, 14.24451353691417, -25.431499897652103])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.855387643837384, 14.24451353691417, -25.431499897652103])</answer>", "action": "('move', [-1.855387643837384, 14.24451353691417, -25.431499897652103])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKQElEQVR4nO3dTYidZ8HG8evMjNqOnRAntmknSVvciIiFCgYRdNWFG3f9EPygKFSKVtGdguBeqaKroriwirYuXIgrRdC6UBeCCCklFdNkrOmkzZe1bTIz57h4HhNffYXX9qWnc67fb3Vysrlh5j/3/dzPc+4zmc1mAToszXsAwKtH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8N12djKdznsQvHoms9ls3mNgTqbTLC0lyWyWyWTeo+HVYIavNJtlNsvSUr7znfzhD5lM4u9+B8FXmkwymeShh3LffbnrrjzxRBLNN1iZ9wCYk299Kw88kO3trK1lbc0kX0LwZYbF/Pe+l/vvz85Ojh7ND36QjY2r1/MsNJt2TXZ3s7ycX/0q731vktx+e77//bz1reP7FDDD1xi24mez3HhjPvCBHD+u9kJm+A5XbrwNL86fz9mzectb1N5G8AWG6/Nf/zpra3n7269GrvY+9mkW3c5Olpby05/mfe/L3XfnySezvDw+YKf2PoJfaDs7WVnJz36We+7J9nbOns3TT4+renvylSzpF9ewYv/FL3LXXTlzJhsb+dGPcvSoO3DN/OAX1LBi/+Uvc/fdOXMmBw/mhz/M0aPZ3VV7Mz/7RTQs2h97LB/8YLa2cuBAHnkk73lPdnZct5ezpF84Q+0XL+bd787jj2d9PY88kjvusCdPzPCLZjrN7m5ms+zbly99Ke98Zx5+OHfcYU+egRl+gVx5umbYlpvNcu5c1td93J0rzPCLYnc3k0l+85s89NDVbbn19UynaucKz9IvhOH6/Ikn8rGP5fHHc/ZsPv/5JO7A8S/8Nux9Q+1/+lPuuSfHjmV5OTffPP6X2vmf/ELscUPtp07lzjvz+99ndTXf/nY+9CGnWfC/EvxeNuy9nziRO+/M736XN7whX/96PvKR8SBal+78G8HvWbu7SfLkk/noR/Pb32Z5OV/9aj7+8ezsjEfWwb8R/N40rNiXlvLww3nssSR58MHcf/+4wlc7/4H78HvQsPc+tH3hQu69N+96V77whfGvgNr5zwS/1/zznTZP1PBfsqTfU4ban3sun/ucL5DgZTDD7x1D7efP5xOfyKOP5m1vy89/noMHE8t4/q/M8HvEUPvf/pYHHsijjybJ+9+fN75x3sNij/Fo7V4w1H7pUj796Xz3u0ny2c/mwQfnPSz2Hkv6PWJ7O5/8ZL75zST51Kfyta9ledmmHf8tS/rXtuGboba28pnPjLXfd1++8pUsLfkYHC+DGf61bVjMHz+ed7wjly7l3nvzjW9kdTXxwRheDsHvET/+cX7yk3z5y1lb86FXXjbB7x3DIfNq5xUQ/B5x5asgXbfzCpgr9gi18/9B8HuH2nnFBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FHFO94KbT8SDMpSUn5eDEG2hihl9Mw+k4ly/nqady8mQ2N3P77bntNqfmtBP8YppOs7yc48fz4Q/nj3/MpUv54hdz223j+9QS/GIapvHV1Vy+nL/+NUlOnJjrgHhtsI2zyK6/PocOZTLJZJKTJ8fdO5qZ4RfTZJLpNNddl/X1MfLTp8fyaWaGX0yTSXZ2kuTAgfGdF17I88+P30BJLcEvuBtuGF+8+GI2N5MIvprgF9awet/YGJ+3efHF/PnPieC7CX5hDcHfeGOuuy5JXnhB8Ah+cf1L8Jcv5+mnE8F3E/zCuhL82lqSzGZmeAS/uIavn7zppjH4JKdPj+9TS/ALa7gzt7IyLumTnD+f2SwrKyb5XoJffBsb44tz5/Lss+PMTyfBL76bbx5fXLiQra3EZXwxwS+y4Q78oUPjJ+TOncuZM/MdEXMm+EU27M8dOZLXvz75p+Cn03mOijkS/OI7fHgMfjo1w7cT/CIbZvhbbhmDT/LMM3McDvMn+EU2bMi/+c259trxnWGG95m5WoJfcEPYBw+O/zx9Oi+95PjaXn7yFW65ZXyxtZXz5xN35loJfsFduYwfbG3l4sU5Doc5E3yFW28dXzzzzBi8Gb6T4CsMM/zyci5ezIUL8x4N8yP4CsPTtcNe3XPPzXcszJPgF9xwDX/48NXPzAzHYNio7+THXmF1NQcPZnc3STY3xy+cchlfSPAVlpdz661j4ZubuXRp3gNiTgRfYWXl6odkT53KSy/NdTTMj+ArLC3lyJHx9eam4HsJvsUwwy8v5y9/EXwvwS++4dJ9uBW/spLtbbfiewl+8Q3BHz589Z2TJ+c1FuZM8C327cvrXpft7SR56qnEedWVBN/immty6NB4uNUQPIUEv/iGmXx19ep51Zb0tQTfYnU1hw6Nr0+d8phdKcG3uPbaMfjJJCdOjI/Z0kbwi28yGS/dh+CXlnLmTJ5/fr6DYj4EX2EI/qabkn+cbDns21nYtxF8kfX1JNndzWxm366U4CsMG/X792ffvsxmmU7H4M3wbQRfYQj+TW+6el61W/GdBF9k//5cf30mkywtZXNz3qNhHgRf4cqS/oYbxk37Y8cSS/o+gm8xneaaa7J/f6bTHDkyflrW4/RtJjN/5DsM59gdO5aTJ7OxkQMHrj54Rw/BQ5GVeQ+AV9V0muk0k8m4dUcbMzwU8UceiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwdZY+FI0pmyW4AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.855387643837384, 14.24451353691417, -25.431499897652103])</answer>", "action": "('move', [-1.855387643837384, 14.24451353691417, -25.431499897652103])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "57ea59cd7e4ae029ca06968edc48ca5d60da15fec439df1fbf8631d2cdabd7b1"}
+{"episode": 19835, "episode_seed": 2361640540, "split": "train", "timestamp": "2025-09-15T23:02:39.119332", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2361640540, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.446347956598562, -3.1425047252779508, 37.31254160887736])</answer>", "action": "('move', [4.446347956598562, -3.1425047252779508, 37.31254160887736])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.446347956598562, -3.1425047252779508, 37.31254160887736])</answer>", "action": "('move', [4.446347956598562, -3.1425047252779508, 37.31254160887736])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.446347956598562, -3.1425047252779508, 37.31254160887736])</answer>", "action": "('move', [4.446347956598562, -3.1425047252779508, 37.31254160887736])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2b4b4c6a79c862128d7448ec324c5c7c96fa82eab5e5f57f2bfa497d0de60225"}
+{"episode": 19836, "episode_seed": 2349433664, "split": "train", "timestamp": "2025-09-15T23:02:40.106173", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2349433664, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [11.679204755090543, 14.099992308363559, 7.14905558754316])</answer>", "action": "('move', [11.679204755090543, 14.099992308363559, 7.14905558754316])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [11.679204755090543, 14.099992308363559, 7.14905558754316])</answer>", "action": "('move', [11.679204755090543, 14.099992308363559, 7.14905558754316])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [11.679204755090543, 14.099992308363559, 7.14905558754316])</answer>", "action": "('move', [11.679204755090543, 14.099992308363559, 7.14905558754316])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALW0lEQVR4nO3dX2hX9R/H8dc5+6rNvwnKJhVBEZW0Sm1mSBGECoqzZoFQQal5aUUQJYVdFCSmdZFEZRfWRVrLWhTGUiMjUrMZ2SS6SS1tDmdpzrn8fs/p4pxJgb+f033/nK+v5+Nufy4O3++e+5w/73O+QRzHAuAhrPQGACgfggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4ZFUcS9KRI+rrq/SmXDwIHlkVRYoiPfigJk5US0v6HQxOrtIbAJxNoaAw1Pbt+vZbdXfrt9+k/jUfg8AKj0yKYwWBPvxQ3d2aMEEPPyxJNTWV3qyqR/DInihSLqeDB7V5s4JA996rMWMqvU0XCYJH9iTH6m1t2r1bcayFCxXH7M8XBcfwyJ5k133ECNXX65ZbdN11CgKCL4og5nVEBkWRwlAnT+rPPzVhgoKg0ht0kSB4ZFU+rxx7oEXGMTyy5/Rp/fVXWjsLUlERPLIkyfujjzRtml54QSdOcPReXASP7FmzRnv3ats2DR9O7cVF8MiMpO32du3YoaFDdffdCkPl85yxKyKCR2ZEkYJAa9fq1CldeaWamxVFTNcVF8EjG+JYYajOTrW1SdLMmaqrSy/OoXh4NZENya77Bx9o/37V1mrJEsUxy3vRETwyII6Vy6m3V62tiiJNn64bb5TE0XvRETwyIDl637NHP/+sKNKSJZXeoIsWk3bIgORm2L4+ffGFPv5YK1Zo1Kj0mygqgkc2cH6uLHiJkQ1J7VGk06cZtikdgkcG9PRo9Wrt3JmevWNPvmTYpUdFJX9+33+vyZM1ZIhaWtTUxH1ypcMKj3KIYxUKZ/tBECgI9NZbknTDDZo8WRIH86XDK4tyCALV1KhQONvh+dGjev99SZo5U5dfrnye4EuHVxallRR+7Jg+/1w1Nf+92zV5dt369erq0rhxuuceLsWVGsGjtJJ+N2zQffdp/nz98IOU/Bc40/077ygINHWqGhtVKDBOW1IEj9KKIh05ouXLdeyYNm5Uc7O6uhQEiguRwlBbt2rvXkm6/36FIct7qRE8Sii5Be7FF9XZqSFDJOmRR1RXpzhWkDx5es0aHT+uq65Sc3P62yglLn6gVJJ99p9+0ptvKgx1+rQaGvTQQ5IURXFNrkaSpk/Xvn2aN0+XXMKwXRlwHR6lkvS7YIE2bFAYKgz12mtavLj/OP3M+bkDBzR8uMaNq/T2WiB4lEQyO9PWpuZm9fYqinTHHdq0SUOHpvGnOEtXXuxBofiSR1f09emVV9TTI0m1tXriCQ0fLp0Zq+np0R9/qKZGUcTwfNkQPIovub1940Zt2pQWPWOGmppUKCg5clehoKef1qRJam3l5Hw5ETyKLHnw5NGjWrkyDbm2Vs8/L6VreyxJBw+qpUX79+u77xTHLPJlQ/AosiTyd9/V7t3pOO3ixWpo6P9R8uO2Nv3+u+rrNX9+OnzHIl8WnLRDMSXldnWpoUHd3Yoi1dVp505ddll6m0z6S42Nam/XAw9o7VrlclyNKxteaBTfihXq6lIYKo715JO64or+2pNhm23b1N6uXE6zZ2vo0HSiHmVB8CiapNyODr3+ejppM2WKFixIM5f6dwDeeENxrJtv1qxZTNeVGa81iiap+rnn1NOjMNSwYVq6VBMmqFBQGPYP4vzyi7ZuVS6nGTM0diw3w5YZrzWKI59XTY0++yy9FJfP6/bbNW/evyZrkv8HX32lzk5JWrhQElM3ZcYsPYog2TE/cSKdtAlDjRqlRx/VmDH/+jDIZCWfPVutrfr1V119Nfvz5cdZehRBMkj79ttatCj9cv58vfeeouh/P5yOS3GVQPAYrGSu7vBhzZ2rXbsUhhoxQl9/rYaGs0WdjNmwJ18h7FBhsJKk16/Xrl0aMkRRlE7anH0JT55uhwphhcegxP2TsrfeqsOHFceqq1N7u+rqJD4MMntY4TFYQaBVq3TokMJQUaRly1Rfn34fWcMKjwuX7LTv2aNp09TXp0JBjY369NP0YRYEn0Gs8LhwyXPmn31WJ0+mx+aPPabx41UoUHtGETwuUHIp7pNPtHmzwlD5vGbNUlMT5+AzjeBxIZIDwePHtXq1enoUBBo5UkuXauTI9CodsongcSEKBeVyamnRN98ol1OhoDlzNHNm+n1kFiftcN6SNfzQIc2dq92700mb7dt1/fUMy2Ydbw7OW3Jze/JMm2TSZskSTZwo8bmvmccKj/OT3Nx+4IBuu02HDysINH68fvxR48YxHV8F+IeM8xMECkO99JI6O5XLKYq0fDm1Vw1WeJyH5I9lzx5Nnap8XlGkSZO0ZYsuvZTPiaoOvEU4D8kyvmyZ+vrSL596itqrCe8SBip5UlVrqzZvTp8/PWeOmprYma8mBI8BST4qordXK1eqr09xrJEj9fjjGjaMQdpqQvAYkDhWLqd167Rjh4JAUaR583TXXUzaVBlO2uHckkmbzk7NmKGODoWhRo/W9u265pr0cyNRLVjhcQ7JIXoQaN06dXSkHw65aJGuvVbiqbPVhhUe53DmcfKNjTp6VJLq69XRoTFjODNffXjHcA5J1S+/rO5u5XKKYy1frrFjqb0qscLj3L78UnfeqWHD9PffmjJFW7Zo9GiuxlUl/kvj/0mWg1OndNNN6bDNM89o9Ghueq9WrPAYkH379Oqr6unRqlWqreU22GpF8Di3M58P19ur2tpKbw0GgeAxIGem5Tl0r2oEj4FK/lKovaoxFYmBIvWLACdeACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5Bx6zBcbUn4mDAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIh0lEQVR4nO3dTa+cZR3H8f91zzlA06RiSICEphueYzDECiYgFQhKAUPBIkZxgZqUoK+Dl6AIu2JJZQG2JMrDAppUEmADBIiJVkADCdUFFlIgOWfuy8WclUt7zsykv8/nFdy5M9/53w/XNdN67wVkGBZ9AMD8CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ6l1nv1vuiDOIsInqXWWo1jra/LfnMInqV2+nRNJrWyUq0t+lDOCoJnSa2vV1U98kjddlsdPFiffVZV5vyZat0pZPmMY1XVyY9rz3fqxIlaXa39++vw4Y3gTfv/mwnPMppOaxjq6JHx/ff6ZFJra3X11VVV6+tqPyMriz4A+F+912RSX3xRf3xumI5VVTsv6Q8+2HqvFR/YM2PCs3Rm4/21V/vx4+MwVFXddFPftavG0Xg/U4JnuczGe6968cU6dapVq9bql78aeq/Bp/WMOYUsl96rtfrwn/2pp6q11sf6xrXjDTdUa8b7JhA8y6W16r1eeaW9935bXa3e66GHB7N9sziRLJfWan29Hnu8qmo6ra+eP959dy9v4DeJ4Fkis5Xz775bx47V6mpNp/Wznw8XXOBSftMInuXSWj3+23G2hP6cc2rfvlpZ8Xx+0wieZTG7aP/kk3rmD633mk7rllvq2murLK3bPIJnWczG+JOH+sl/t8mkWhvv2TfdsaPW1wS/aSxcYomsrdXhJ3v1Gsd25ZXDd79XVdVMpc3jXLIU1tdrGOrYy/2dvwzVWu/9lpv7pZfW+npNJos+uLOI4FkWrdXTT/dPP+1VteMr7b77vIrbfIJn8abTWlmpv5/ox44NrbXq/etfm960p42j3TKbTPAs3mySv/B8/+vfxmGo1tpPfjqsri76sM5GgmfBZpteT52qI88OvQ/TaV144fjAA81uma3gjLJgs/H+5pv18ssbhd+/v3bsqPL6fQsInkWajfH19TpyZONBfWv1iwM+llvFb9qxSLPNsB9/XFddVZ99VuNYt95azz9fbuC3iK9SFml20X70aJ06tfFA/sCBWlnxQm6rCJ4FG8d67DfT1mptrS6/vN9448aWeLaC4FmYcaze6/jxeuudyTBU7/3+H9bOnRvX+WwFwbMws7Af/fU4K//88/vtt1dVTaeC3yrWMbEY41jDUB98UMf/3KpqHPuePcM3r6vp1OL5LWTCsxizMX740PTkv6qqJpO6685x2za/dbG1THgWYLa67vPP608vTKbTqqorrqh99wyz36hm65jwLMDsH6NefKG/8Ua1VsPQb715vOiijbU3bB1nl3mbjfG1tXru+Tp9ulfVtm310MOTKuN9ywmeeZs9rjtxoo4eba213uv66+uaa8pumTlwgpm3WdUvvVQnT26M9IcfblbazIeHdszV7N37qf/U757orbXptHburDvv9GR+Tkx45q33evOteu31vrJavdeBA7V9+6KPKYbgmavZf0I+9uhYNYzT2r6933uvf5KaH5f0zNtHH9Wzz9Yw1HRa37+rXXbZog8oiQnP/IxjVdXBg+PpL4bWqmrc/4N+3nkWz8+P4Jmf2b7XQ09UazWd1u7d7YZvN3vj5knwzMlsdd0zT/f3/zH71PU79vZLLqnp1Ov3+XEPz5zMxvvvD49ffjlUtYsvbvvuWfQx5fHVyjzMNr2++269+vqkqlX1b1037t7dbIadM8EzD7O3bocO1YcfVlWde27bf9/GzHcDP0+CZx5mY3zv3tq7tyaT2rWrfvTjYbZJlnnyM9XMVe/19tv10Ud1xx3G+wIIHoK4pGfeereQdmHcQjFvLuMXyISHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8FkEzG7F2Bh74AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d37e390d8f47e471bf73932031c62079a05b20623a1784f0ef55faea7e70b281"}
+{"episode": 19837, "episode_seed": 187250823, "split": "train", "timestamp": "2025-09-15T23:02:40.748163", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 187250823, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.9436767953024674, -1.5510824557583591, 7.791024216124214])</answer>", "action": "('move', [3.9436767953024674, -1.5510824557583591, 7.791024216124214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.9436767953024674, -1.5510824557583591, 7.791024216124214])</answer>", "action": "('move', [3.9436767953024674, -1.5510824557583591, 7.791024216124214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALAElEQVR4nO3dX4gVZQPH8d/MOSurZLBWpiXZ9o/MiorKZMEw/xClaKAUGpZYBlFEeVGWZEESBXlhXWqCiqxEfzSMFtcskqU18kJQIaisWPzXSuKStnvOTBfPvL7vW3u2dXfOWeX3/Vy5w64M4nefmXmeZ06UpqkAeIiH+gQA1A7BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBY+DSdKjPAOeI4DFwUSRJnZ1KkqE+FfQPwWMg0lSnT2vnTi1erPHjtXOn0pQB/wJQHOoTwIWnXFahoIMHNWuWzpyRpHXrNGMGwV8AGOFxzuJYaaoJEzR3ruJYUaRdu3TsmMRd/XmP4HHOokjlsoYP1333ZVfyJ05oy5bsOM5nBI+BCIP89Om64QZJKpW0daskRRGD/HmN4DEQcaxSSY2Nmjw5O7Jvn9raFMc8sT+vETwGKMzJzZuniy6SpOPHtX07I/z5juAxQIWCkkTTpumaa7IjX36pEydULPY5yDN9N6QIHgMUBvP6ej34oCTFsfbu1e7dkvoMPoqyawMMBYLHwIVHd4sXq65Oks6cUWtrNkvfyygeDv32m37/vbanif8ieAxcGK2vv15TpihNFUX65BP98ktvd/JJoihSc7NuvlkvvDA0pwuCRy6WLFGaqq5Ov/6qb77pbXgPV/kHDujoUW3apO++42Z+SBA8BiU0O326LrlEpZIkbdigclnx3/5nhfm6p57SxInq6dHKlTzQHxIEj0EJD+AaGrRggZJEhYK++EI//ij9bZltCP7KK/XEEyoW1dqqzz7LZvNRQwSPwUoSFYuaPTv7srtbW7b09n2FgsplLV2qiRP155964w2dOsVKnRojeOTj1lt1zz0qlxVF2rhR0j9m36JIcawRI/Tii7r2Wj37rEaMyA6iVqKU+ygMWpiKW7VKK1YojlUsats2zZypNP1HzuFp/unTGj5caapSScUiM/M1wy9X5CCMGlOnatQoJYm6u7Vxo6Kot6v10HaoPYpUV0fttUTwyEG4Pb/jDjU1ZUfa2nTkSLb8theh9iNH9Oab7KSvJYJHDsJgXl+vadNULEpSR4c+/LDCDvlQ+88/a+FCvfyy1q/P/gpUH8EjH2E57UMPadw4Seru1o4dStMKy2yTRKNHa+xYFQpavVqHDzPC1wbBIx9xrHJZV12lSZOyJbft7Wpvz47/n3A9MHy4li3T5Zfr2DG9/TbrcGqD4JGb8ED+8cdVKGR36Lt2VfjWQkGlkm6/XfPnK461fr0OHpT63meHHBA8chOCnzZNV1+dlbt9uzo7e9shH6bfk0TPP68rrtDJk1q1itv4GiB45ClsoXnkEUkqFrVnj/btq/Ct4dfD+PF68klJ2rpVX33FYttqI3jkLE316KPZn3t69OmnSpIKq+nODvKNjerq0rvvqqenwlM+5IPgkafwuK6xUTNnZstsm5vV2SlVmmiPY40cqVde0b33avlyFYvZpB2qg6W1yFkIduNGLVqkYcOyvTTz50uV5tr/t/ByOduLQ/PVwQiPnIURpKlJo0erp0eS1q7t8012YUIuTbPttSy2rSaCR87Ci+7GjdO8ednmmd27sx3yFYXC41jt7XruOXV1SSy2rQqCR/7KZQ0bpunTs/jPnMk2zFb8IKpSSVGkvXu1cKHWrNGmTTU8WS8Ej/yFzidP1p13ZlfrH32Uvcay92E7bLK56SZNmKBCQW+9pZMnGeGrgeCRvzCbPmaMpk7Njvz0kz7/vPKnTZ7dfPPSSxo5UocO6Z13eluUi8EieFRFmHifPVuXXipJp07p44/7fBhXLKpcVlNT9q6stWt16BCfR5s7gkdVhOH57rt1yy3ZkbY2dXT0+UFUYR3Oq6/q4ot1+LBWr+btV7njHxRVEW7X6+o0a5YKBcWxvv9eLS1SH4/uwtzddddp6VJJam7Wnj3ZuzWQE4JHtYQ1sgsWqKFBSaJSSa2t6u7OVtNVlCRatkyXXabjx9XcLP3nGSDyQPColjDIh0d3YfBubdX+/RXedXf2Z+JYY8bo9de1ZImWL5fEYtscsbQWVRRSbWnR/ferrk49PVqzRs8809vbbCsJU/SFQnVP1AYjPKooDMxTpqixMdv2unmzurr6cZGeJNmte7HI/rkcETyqrr5eixYpTbMd8gcO9ONnwqheLmvDBj32mMRK23wQPKorLLCbOzf7Mk31wQfSv76lNgzvLS16+mlt2KDNm/u89Ud/cQ+P6gq38adO6eGHtWOHSiXV16ujQ6NG/duPSerp0YwZ+vprTZyob7/NNtIxOT8I/NuhusJiuZEjNWeOSiU1NOiuu3T0qNT3RXoYz4cN04oVKhZ14IDee6/y51qgvxjhUXXhFVc//KD331dTkx54oN8/GS4P5szRtm268Ua1tmrs2Oxl9xgQgkethf9x/Z1ZTxLt26dJk9Tdrdde08qV2VMBZuYHhEt61Ej4qNgwOXcOtcaxbrtNS5ZI0rp12r+fj5QfDEZ4nPfClvo//sg+r6aubqhP6AJG8IARLukBIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMhfupOrK0AtFjQAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.9436767953024674, -1.5510824557583591, 7.791024216124214])</answer>", "action": "('move', [3.9436767953024674, -1.5510824557583591, 7.791024216124214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIh0lEQVR4nO3dTaxcBRnH4fecmQHCLQIhtN1B0rRRkGJokIBfiISFGGuQhIWVaGICxYUYFhI/Fk1c6EJAIVGLiTGsCCguCBUDjaZGbNGaJhK1myY1pAUaIiWUyp05x8XcxD3c+Yj/51ne1cnN/Oadc847Z5q+7wvI0C76AID5ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETxz1XWLPoJsgmdO+r5WV6v1ilso/37moe+rqkajOnWqxqv/+wtzJnhmru+raWoyqUceqZ076+ChqqqmWfRhRWp677TMUtdV29aJE3XHHXXgQFXVTZ/onv9dO30XYM5MeGZrWvXFF9emjVVV55xT+3/fPvWrvml8ql8AE56Zm0xqMKg/H+puurnOvN1OxvWhqyYvHBqMRjUYLPrgwpjwzNxgUF1XO65t7/xiMxn3bVt/+8fgZ3v7waDG40UfXBjBMw/TM/bd99TmzVVV49V+797+xMlqW3fm50rwzMNgUJNJXXlls+sL1XX9cNj8/Z/tL37eCX7OnMMzJ11XTVOvvVrXXNOdONl2XW3bVk8/XVu3rp3kMwcmPHPSttX3tXFTfe3eputqOKyjR+uxx9beCJgPE555O3Omtm+vY8eqqi65pA4cqG3bqqzizIUJz1z1fZ1/fu3Zs7aQ89pr9dADXdOofU5MeOZq+nJ766265ZZ64YUaDGo46A+92GzfXnbv5sCEZ66aprquNmyo+7/RVXVNW/95p/nONyflm7NzIXjmbXr17lM3tzt3NuPVvmnrt88Pnv1NP711x0wJnnlrmhqPa2Wldt/dr2yotq2zZ/vvf687e7b63oL9bAmeBRgOazKpm29pP/PpfjLuB21z8MXBL5/ohsOaWLadJcGzANOLc4O27ruvufDCpq86c6b/6d7m1KlqB07mZ0jwLMb0jP3aDze3f77ruhqNmj/+qX79VD89w2dG3JZjYaYvvePH66oPdm+dabuurr669u1b+4KNW3SzYMKzMNN9m8suq3u/3nRdjUZ15Eg9/rjUZ8iEZ5GmyzavvFI7dtTJk9X3tWlTHT5cmzbJfiZMeBZp+qCrjRvr/vtrMll7+t2DP+g8AGtGTHgWbDrkT56sW2+tw4erbet9F/SHXmy2brVsu/5MeBZsuoezeXN9dfekbft2UP9+o767Z1Jl8W79CZ7Fm96Ku+32wcc/VuPVvm2bp/e1fzjQT/dzWEeCZ/HatiaTuuiiuvuu/rzzqmnr9dfrRw/102Vb1pHgWQrTYX7b7e1Hb+gn4344bJ59rtn/fD8cerLtehI8y6JpajSqb327GY2arqvTp+vHP6nTp9eecs26EDzLYvoE2xs/2Xzus2vLts880+/f37tQv47clmOJTO/DvfRS7djRTSbteFzXXVfPPVcrK1WWbdeDCc8Sme7bXHFF7b67GY9rNKqDB+vJJ6W+bkx4lsv04ZZHj9aNN9arr1bX1eWX15EjdcEFiz6y/wsmPMtleia/ZUvdddfaD1QcO1Y/fKgrezjrQfAso8Ggdu2qD7x/bcH+0Ueb48f9EN06EDxLp21rdbW2bKkv3dk1bd8O6vi/6sEHJk1jyL9XgmcZDYfVd/Xlr7RXXVnj1Wrb5okn278e7kcjezjvieBZRk1Tk64uvbTuuacbDKpp6uWX69G9/Tur5Zuz74Wr9CyvrqvV1frIDd1fDreDYW1Y6fftq+uvb/za7LtmwrO8mqbOPbf27Gmqqvp64416+OF6++3yoMt3zYRnqU137958s5qqpq2+r5UVezjvnuAhiI/0EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOS/jt3f+OJX4MsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7f8f24ef4b70c6ebbb64a80f7d04061335c67851ccd72eb5375dfee18d5cd0bd"}
+{"episode": 19838, "episode_seed": 459328646, "split": "train", "timestamp": "2025-09-15T23:02:41.394226", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 459328646, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.39806452851013, -0.7082278260790139, 8.083245897242003])</answer>", "action": "('move', [3.39806452851013, -0.7082278260790139, 8.083245897242003])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.39806452851013, -0.7082278260790139, 8.083245897242003])</answer>", "action": "('move', [3.39806452851013, -0.7082278260790139, 8.083245897242003])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.39806452851013, -0.7082278260790139, 8.083245897242003])</answer>", "action": "('move', [3.39806452851013, -0.7082278260790139, 8.083245897242003])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFxklEQVR4nO3b3W5bVRqA4c82KCNQofmhhxxAJLgXro+b4WKAG+g0aRxImtp7DhJKi6JRK9GEmfd5tLS1bG1Z2wfv8v6RV8uyDNCwfuwDAB6O4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkk8c+APgfsyzz+vXMzGr1zvbtl/9Yq2VZHvsY4P/EssxuN8vy1/j/sjQ8IsHD+7ot+fx8fvxx/nWwHB7Nl1+unj6dw8N5+vRuvE/P9zb3MAuB4OF93Qb/yy/zzTczM59+OgcH94wnX8zJ4f7ocH/87JOjozk5maOjOT6+2x4fP+ZXcA0PH+bq6m5yczM3N7Pd3rvXemY1M+v1bDazWc96M5s/xpMnc3Iyx8fLycnq5GSePZvPP58ffpjT09nvZ/0x76QLHj7Mq1fz9dez281vv82rV3N9Na93+5mZWd1G/ofVzOz3s9/PzczMrNezLLMs8/z5/PrrvNl5s5ndbj77bE5PZ7cTPPwz3F5mf//9/PTTvHw5Z2dzdjYvXixnz5ezF8vZy/XF5erycrbbubycN5Ptdi63+2WW/X797orw58fe/vI/AMHDhzk4mO++e/uN1cw7sV5fz3Y72+1cXMx2Oxcvl4vzZbudi8vlYrs6O5vz8zk/nzeT339ffv55N/vNvcvB38tNO/hg+/3dnfbbU/TbySyzWs9m817n5NfXc3V1N66v59/P99+err76avXmkd5HInj4O/3Z/33b1WrW6497lf7fCR4e2pvm3p6s1w/xKF7wEOLPMxAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwEPIfSBTaqxlaIe8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a6d157e8408f8ba016a19b293ef03c0d693566bada8e8758c287c9addca65b91"}
+{"episode": 19839, "episode_seed": 863280614, "split": "train", "timestamp": "2025-09-15T23:02:42.387688", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 863280614, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.0113786528851945, -6.590192060282352, 41.55422665630795])</answer>", "action": "('move', [4.0113786528851945, -6.590192060282352, 41.55422665630795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.0113786528851945, -6.590192060282352, 41.55422665630795])</answer>", "action": "('move', [4.0113786528851945, -6.590192060282352, 41.55422665630795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.0113786528851945, -6.590192060282352, 41.55422665630795])</answer>", "action": "('move', [4.0113786528851945, -6.590192060282352, 41.55422665630795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "247143a9f241754e2ef5c79440033d917a43b6255bdfec28ce4f375ec3f12247"}
+{"episode": 19840, "episode_seed": 1726361444, "split": "train", "timestamp": "2025-09-15T23:02:43.046382", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1726361444, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-101.35870951861432, -98.64705359896874, -12.310042364670664])</answer>", "action": "('move', [-101.35870951861432, -98.64705359896874, -12.310042364670664])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-101.35870951861432, -98.64705359896874, -12.310042364670664])</answer>", "action": "('move', [-101.35870951861432, -98.64705359896874, -12.310042364670664])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-101.35870951861432, -98.64705359896874, -12.310042364670664])</answer>", "action": "('move', [-101.35870951861432, -98.64705359896874, -12.310042364670664])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAILElEQVR4nO3dX49V1R3H4d8+ZxTsWAlRpAkG8F9stJRICMXBKNLG9+A78nX4Nhr/oY1oFSyCSUWdoklrq9hIJDHOnL16sc/oVZ05mDhn5/s8Vyf7at18stbee+11utZaARkmuz0A4JcjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAiystsD+CmtVd9X31fX1cpSjxTGoWut7fYYgF/IUs+b331X167VhQs1m9ULL9S+fdVadd1uDwtGa0mDH8J+6aV68cVaX6/ptJ5+uvbtq76v6XS3BwejtdQP7e67r9bXa8+eaq0+/bSqTO/wsyx18M8+W3fd2c9m1Vq99Va1VpOlHi8suyUNaJjJV1fr9FPd5ma1Vq+/2t+6VVXlISPctiUNfrB3bz3zXNd1NV2pSxfr6xtah59leYPv+6qqtdOttX46qe82JhcvdeU2Hn6G5Q1+8OCDdfBAbWxUV/XKK7s9Ghi55Q1+mMkP/qY7eWrSWrWq117b5SHB2C1v8FXV93XPPXXqVFXVdFoffVSff77bY4IxW97gu25+G3/sWE2n1VptbMwn+eE6sKjlDb62VvWPPlpHjsy/onn91VkJHm7XUgc/mVRr9dhj9fjj8yt/fXfyw3VgUUsdfNfVxkbdcUc9/ttZVauqf3/ZXb0qeLhNSx18ba3qT5zo9u6pqvrv1+0vb/St1Wy2u+OCUVr24Idv406dnhx6oKuq77+vd95p9t7A7Vn24CeTms3q6NF64FBf1aq6v1+bfvttraxY1cPClj34qvkRVyeebFVdVa1/Wh9+2LrOqh4WNoLgh09inzk73XtXVdU//zX74P2+fDYHixtN8GfO1K/vblXV2vTy1Wlrjr6BhY0g+GHL3YED9cjD8zn98uW6ccPLOVjYCIKvrZdz5/44GX5fvFjXr1fZcgcLGkfwg7Nnq6qm07p5sz7+uMq38bCgcQQ/hH3yZK2uzg+0ffvt6nureljMOIIf3H13ra214UzL8+f7b77Z7QHB2Iwp+JWVem7riLu/Xey/+tLkDosZTfDD87mnz9RwxN1mWxmOuAN2bjTBD7fxR462gwfbxmbV1olXntvBzo0m+MG993Zn1qatr6p65c+bXsvBQkYTfNdVa7W6Wn84XVU1ndYn/1hZX6+yxxZ2bDTBV82/ljn2u35lOmtVs5lzbGExYwp+uF1/+JHJQw9N+1lV1asv92W/HezYmIIfttkcPVrHfj+/8u573Wxm+w3s1JiC77ra3Kw776wnnphf+fKr7sqV+e09sK0xBV9bq/rjx2v1V1VVN2/W+fPVmlU97Mgogz95sg4fqara3KwLF5oZHnZoZMFPpzWb1eHDdeTwfE6/9lF365Yj7mBHRhZ8VfV9tVZPHm/DSfWffVaXLv34v1TATxhf8JNJdV2deWa6utpV1X++6t+/OKtypiVsb5TBV9XaWu3fX1XV+skHV6dV8z+cBH7C+IIfDqjev78eeWhzuHLlg/riC8HD9sYXfG09qz97bmX4feVq/8nHrWy5g+2MOPhz56q2jri7du3H68D/M+LgT5yo/ffM+r4mk8m773Wbm1b1sI1RBj9YXa2n1rq+r76vl1+uGzd2e0Cw9EYcfFX96fnJnj116FDdf78beNhe18a8CL5+vd58s55/vg4c2O2hwBiMO/gfzGb+ag62N+7gh+/khr13wLbGHTywkHE/tAMWIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8j+RAYfcoBu6IwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e555da3441bad0f15082dbc930855818b217226b9a7b9f4c6b0f6a39ad33f458"}
+{"episode": 19841, "episode_seed": 1569693579, "split": "train", "timestamp": "2025-09-15T23:02:43.678839", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1569693579, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.6728744723806, 1.5077373119647095, 51.99497729354888])</answer>", "action": "('move', [8.6728744723806, 1.5077373119647095, 51.99497729354888])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.6728744723806, 1.5077373119647095, 51.99497729354888])</answer>", "action": "('move', [8.6728744723806, 1.5077373119647095, 51.99497729354888])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.6728744723806, 1.5077373119647095, 51.99497729354888])</answer>", "action": "('move', [8.6728744723806, 1.5077373119647095, 51.99497729354888])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fe9a496c4c0e370d701ac07fd40fed33ab60d642ff4d14749de9d7c66308e926"}
+{"episode": 19842, "episode_seed": 2079453249, "split": "train", "timestamp": "2025-09-15T23:02:44.314183", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2079453249, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.45296874561519, -14.098956343867075, 58.71993779524919])</answer>", "action": "('move', [-6.45296874561519, -14.098956343867075, 58.71993779524919])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.45296874561519, -14.098956343867075, 58.71993779524919])</answer>", "action": "('move', [-6.45296874561519, -14.098956343867075, 58.71993779524919])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKXElEQVR4nO3dX4ildR3H8c+Zc2acQaY1tESpCCS1GwlXE5dsIARtC9SVYG9MRbe8yD8g1N5IUCGUYhCJKO22RC5rJlgthEpdyLYTpkXJol5kiGa4SP/M/TMz5zxdPGdrqy1TZ+fMnO/rdbUz7MXDeXjP7/c8v9/znE7TNAFqmBj1AQArR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPKPRNKM+gpIEzwiofVQEzwh0OhkMEuWvOMGzotrC77gjn/hE/vjHf5bPyug0/sayUvr9dLu5//5cdVWaJh/5SL71rZx1VgaDTBh6VoSPmRWytJRuN488khtuSJITTsiePfnJT5Kk0xntoRUieFZCv59eL089lWuvzeuvZ3Iyhw/nppty/fWm9CvKlJ7jrp2xP/tsNm7M736Xbjf9fj71qWzblhNPTGI+v3IEz/HV1v6HP+STn8wvf5nJySwuZm4uDz+ck05y9b7SBM9x1DTpdPK3v2XTpjz2WKamsrCQc87Jo4/m1FPVPgI+b46Xdig5dChbtuSxx9LrZWEh73tfHnxQ7SPTG/UBMJ6aJv1+Op1s3Zpdu9Lrpd/Paafl+9/PmWeqfWR86iy/pknTpNfLnXfmG9/I1FSaJuvWZdu2nH++2kfJNTzLrK19YiI7duSGGzIYDPfb3Hdfrrkmi4vp9Sy8j4wpPctsMEi3mx/+MJ/9bBYXh5tnb78911wzXI1X+wgZ4VlO7WC+Z082bsxrrw0X4W69NXfeOeojI4ngWUbtxfm+fbn00rz0Unq9LC3l05/O9u3Di3Zj+8gJnuXRju2//W0uuyz79g23011ySR58MCeemE5H7auCu6Usg7b2V17JZz6TffsyNZV+PxdemO9+N7OzibF91RA8b1fTpNvNgQO55Zb89KeZns7CQj74wezcmVNOSb9vEW4VcSpYBk2TL3whu3ZlcjKHDuW007JzZ97//uHIz+oheN6WpaV0OvnSl/LNb2ZiIouLeec7c//9+dCHhiM/q4qbdrx17QB+99353OfS62UwyPR0tm3L5s3Dx2ZYbYzwvEXtG2weeCC33jqsvWnyla9k8+bhsM8qJHjeiqWl9Hr58Y9z/fU5fDhNk8EgW7fm5puzuGgmv3qZ0vOmtTP5J57IFVfk5ZeHT7lv2ZL77stgYMl9VRM8b067ne4fG2za2jdtyve+l27XpftqJ3jehLbn/ftz+eWZnx9unp2byw9+kHXr1L4GuIbn/9VO1w8cyHXXZX4+k5NZWsr69dm5U+1rhuD5v7SPuCe58cbs3p2ZmSwu5swzs317Tj99+HIbVj/B88bad1ok+fzns317pqZy8GDe9a7cc0/OOWe4PseaIHjeWLsf/qtfzR13DLfTTU/n7rvzsY8N1+dYK9y04w20i3Df/nauuy6dTiYm0u/n3nuzZYu30609Thf/S7sffvfu3HTT8DdLS/nyl7Nli8fg1iQjPP9VO7b/7GfZtCn79w8X4W65JV//usfg1irBc2xt0vv25cor89xzmZ7OoUO5+ups22aDzRomeI6hvTh/8cVs3py9ezMzk4MHs3Fjdu3K7KxL9zXMeSPJke+FOvLP9s7c1q3ZuzfT0zl4MB/+cO69N7OzLt3XNqeuvPZJt6Mm6J3OMP8rr8x735tDh/KBD+Q738l73jN85zxrlyk9SZKFhUxN/eev5+fzxS/mttty0UVm8uNA8IW1Be/YkbvuysUX5667/u1eXHvf7rXXhjN5Y/sY8Be7sKWlJPnFL/L003nooeGPR+l2Mxhkdtbb6caH4AtrI/74xzMzk/378/jjwy+CO8rEhBW4sSL4wtqaP/rR4a253buTpN//t/+l9nEi+MLa8fwd78gFFyTJnj05cGC4q4YxJfja2iW4yy9Pktdfz8svD4d9xpS79CR//Wt+9ausX5+ZGXfnxpvgOcriYiYmND/GBA+FuIYnSTIY5IkncuONefTR4Y+MI28nKq9dZ19ayj33ZMeO/OlPmZvL1JT197FkhC+vvVE/OZnzzsvERObn8/vf//MBGsaL4DnyxvkLL8wJJ+T55/PMM6M+II4XwXNkM90ZZ2RuLp1OHnnEU+/jykklw/ddrFuXDRvSNPnRj3LgQBKz+vEjeJJk+PXu55+f2dm88EJ+85tRHxDHheBJknS76XRy7rk5++w0TR54YNQHxHFhWY4kGX6hzLvfnYsuyquvHvPtN4wBO+04ol14f+mlzMzk5JNHfTQcF4LnWNpN9RMT9t6MGcHzr2ywG2tu2nGUtvY//zm3357LLstTTyXHeAcOa5ebdvyHw4fzta/lL3/Jhg1Zv97L6MeJEZ6jtFvoTz01Gzak08nPfz68mGdcOJccyxVXpGny61/nuefS7ZrVjw3BcywXX5zJybzwQp58MvF4/PgQPP+qvUV/+umZm8tgkPn59Pvp9eyrHw+W5TiWpsniYhYW0u1mZmbUR8OyETwUYkoPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBTyd/2Osa+5EGrPAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.45296874561519, -14.098956343867075, 58.71993779524919])</answer>", "action": "('move', [-6.45296874561519, -14.098956343867075, 58.71993779524919])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3c7fce16ae413b6b460c78ba4b55194f66c881ca1361994709d4a8f6b7c9fe4f"}
+{"episode": 19843, "episode_seed": 169926753, "split": "train", "timestamp": "2025-09-15T23:02:45.352743", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 169926753, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [14.104886293152317, -4.066797883745559, 48.05139303063538])</answer>", "action": "('move', [14.104886293152317, -4.066797883745559, 48.05139303063538])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [14.104886293152317, -4.066797883745559, 48.05139303063538])</answer>", "action": "('move', [14.104886293152317, -4.066797883745559, 48.05139303063538])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+ElEQVR4nO3d229U1QLH8d+eS6Fgk4agGEEFJVWBUBWlNUCttUQJkEiMD8ZoYnzB8Cb+GSY+qPjim/HBRBNQMFCqxSZSCcV6QeSiRkhQknptA610ZtZ5WJuLx+TEc87M7GF+388bO5Asmn5n7b322nuSEIIAeMhlPQAA9UPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgpZD6CpVCoql5UkKvBzRUNKQghZj6FJhKAkyXoQwH/ETFQ1SaIzZ3TggE6f1tatuv56PgLQcAi+avbu1fbt+vZbXbyovj6CRyNi0a4K4lXRggU6dkwhKJ/X8LAk5fjposHwK1k1d9yhri6VSiqXtWuXpqezHhDwNwRfBUmiENTaqg0bFIKKRR06pLNnpUuTP9AgCL464uX6unVKElUqkrRvX9ZjAv6G4Kvp9tt1550qlyVp586MBwP8HcFXRzyrX7RIvb3pH48c0fh4ehxoEARfHUmiUkn5vLq60ltxExMaGFAIBI8GQvBVE2/C3XeflixRCCqVtHv3lUt6oBEQfNXkcqpU1NGhFSvSI59/rokJ5XJM8mgUBF818ay+WNT996dHzp7V8HD6QQA0AoKvpnxekvr6NH++JE1O6sABSem6PZA5gq+mOJl3d+uWW9IjY2M6f17FImf1aAgEX01xiS6X09q16Vr9l19qbExJwiSPhkDwVRbX6jdvVkuLkkQ//6zPPst6TMAlBF9lcU1+zRrNn5/utx0Z0dSU8nnO6pE9gq+J1tZ0y10IGh7WmTNsuUNDIPiaCEFbtkhSsagff9SxY1kPCJBE8DWSJOrp0Zw56R34wUGVy7wPA9njd7D64vp8e7v6+9OX2O7Zo4kJicfjkTWCr4n4GoxNmySpWNTp0zp+XBKvuEPGCL4m4ky+erVmz1appCTR7t1Zjwkg+BqJM/nNN6urS5WKQtB772U9JoDgayTehJs3Tw8/LEm5nE6e1DffSFzGI1MEXytxL+2qVZo1SyHo4kW9/z7vw0DGCL5W4k24zk4tX55Gvncv22+QMYKvlVxOpZIWLtS996ZHTpzQmTM8Ho8sEXwNxcm8u1vFoiSNj2tggJdeIUsEX0PxfRgPPqhFiyRpZkYff5ztiOCO4GsovvRq6VJ1dKRHjh7VTz+pUGCSRzYIvoYu76vr7U1n+5MndeiQQiB4ZIPgayuu1W/apLlzJenCBY2Oph8ELNej/gi+tuKa/LJluvXW9MjIiH79VYUCwSMDBF9zSaJcThs2KEmUJPr0U506JTHDIwsEXyePPaYQVCjowgWNjUk8OYcsEHzNxbDvuUcLF6pUkqSBAU1N8Y00yADB10lLizZvVgjK5/XRRxofz3pAsETw9RCCcjlt3ChJ+bz++ENHjkic1aPuCL4e4qn7ihW64QbNzChJtGtX1mOCJYKvhziTL1igvr70yL59mprKcEQwRfD1EL9qqrVVDz2UXsafO6eREYmbc6gvgq+rzk61t6fvxogvvWKPLeqJ4Osk7rFdtkyrV6dH9u9PjzPJo24Ivk7ik3NtbVq1Ki383Ll0Xz3Bo24KWQ/ATk+Phoa0Zo0ef1x33y2Jb6RB/SSB+aW+4hfIo1GEkH49UHyAudkRfAbiQl18lgaZia8l8Oj8MuaaDORyyuWoPSOXXxUeZ/XJSb30kl580eR+CdfwMHP5g/bUKb3+uj74QCdOSFJ/vx59VKWSCs0cRTP/3wBJV+ZzSZWKJid1+LBee00DA7pwQZLa2tTZqeuuu/LXmhfBo3mFoFIpfUl4CEoSffednn1Wn3yS/oWODvX06Lnn1N2dHmn2S3qCRzOKa++FgopFlUr680+1tioEtben7xtav17r1+uJJ7R4sSRVKiaLqKzSo7lcfQL/22966y3t2aP+fm3frpkZFYt6912FoEceUVubJM3MKJ/3uVNK8GhGJ05oxw4NDOj4cUm67TZ98YXmzk3fTBCZpR5xSo9r2dX30kPQ+fM6eFA7dmhoSBMTkjR3rh54QM8/rzlzpEtvEY6bn+K1vRlmeFybKhWVy1eivXhRLS164QW9/HJ6ZOlS9fZq61atWpXVGBsQMzyuNXGKLhSUy2l6WqOjWrs2neR7e/Xmm7rrLm3cqKef1k03SX+9qrfHDI9rR9wkF6+6x8f19tvau1cjIxoa0sqVCkHT0zp8WCtXqr1dkkol5fOkfjVmeFw74p2zo0f1xhsaHNTXX6fH33lHK1dKUmurenqkSwtyTb1n7n/DTwSNKi7IxS/uiVtoPvxQr7yigwf1+++SNHu21q3Ttm1p5PHVAuWy7YLcP8EpPRrPvy3IxYZ/+EEbNqT73hcv1vr12rZNnZ0ZDvNaxAyPRnJ5M2xckBsY0IIF6upSCFqyRE89pf37tWWLnnxSN974l3/Fhfo/wwyPxnP2rHbu1OCgdu5UR4dGR9XWphD0yy9qbU2/eTtO+3T+X2KGR2OIm2G+/16vvqrBQX31VXo8PrIet8HOny9dWpBr9qdcaoQZHo2hXFY+r7ExrVmjqSnNmqXeXm3bpu5uzZt3ZS+duKP+fyF4NIzY/DPPKJ/X9u1avpy2q47g0cCY0quNa3g0mLidLu6xIfVqY4YHjHg9DAyYI3jACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkXxihhRtbO14NAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [14.104886293152317, -4.066797883745559, 48.05139303063538])</answer>", "action": "('move', [14.104886293152317, -4.066797883745559, 48.05139303063538])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAILUlEQVR4nO3b3Y8W5R3H4d/Ms4snIEcWSGgMeGKN0vSFamIbY8SaVMEYikRpV2xD2j/Hpgd9SSBUC5TQSl+TNiJooycmKtW0GImtCbZnYDRG6bLP3D14lhdt2hgL3WW/13U8k0w2+5n7nt/M07XWCsjQL/QFAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggoeqqtaqtYW+iCtvaqEvABbYeFyt1VRGClZ4co3HNTtbo1FNTdW779YHHyz0BV15gifRMNR4XKNRLVtWJ0+2739veOihOnasqmo8XuiLu5Iy9jFQVVWtVddVVfV9VdXzz9fje8d/fG702mtVVatX11131bJlFw9berqWMKkg22Qg15/fzs7O1qGDw+499cqr/enTraobjWo8runpevHFuuWWGoaLBy8xVniWsgsDua6rubk6daoO7K8f/3B86h+jYZgc0lVVG2rt2rrvvrruuqpasst7CZ6lajyuYajp6aqq06frpZfq4MH66RPDP2f7qtFoqmqoqrZiebfhs237tjazs1+5cv7cJRy8LT1LzaWv2U6+3v7w+3b4V/3Ro1VVo1GNRjU7W1Xt02vr7rvb/fd3W+6f73sJP7pfIHiWiMk/8oVijx1th35ezzzTnTgxVPVTU9XaZALfvrSxtm+vO++sz32+q/M3iNFo6ddegudq9+8DuQP720/2Dq+82p8+U1XdaKrGc1VVXVdbttSuXfXFL9Sq1VVVc3NVlZL6hOC5Wk1emI9GVTU/kHvi8bZnT3vr7/143CbTuKrWdd2qVcOOh+vbu/ob1teyZR89N4qhHVefyco8eUo/c6aOH6+9e+vQoTp7tpss6VVdVVuxom7+zLDjm/3MI/2KFfPnDkN1XWLqE1Z4rhqt1TBcHMidONGOHa1fPNlNBnJ9X30/uRe09eu6O+5oDzxQm7dcHMjVkh6/f0yC5+pw6Qj9yJH2yyeHp470r5+sqm56ulqbX/ZvvbW2bh3uuafbsGF+IFeRW/f/RPAsXh9Zls+erQP727797eWX+zNnWlU3NTXfedfVtm21Y0dt3Fhr1lR9eNvPBYJnMbp0ZR6GOnWqfvSD4WcH21tvjc7NfejIVdeNdz462vlorVtX11xTVTU3F/2U/t8JnkXk/Kvy8wO50+34n7rdu+vQoTp3rqqq72sYqqqtXNnddOMwM1PfmOmXL58/ffK17FL9DP6yEDyLxdzc/OCtqv7y5/bss7V/f3vu+W7y45bJx/BVw7p1/Ve+POzY0X31nosjODO5j0nwLC5Hnmq//k397rf117+1qv7Sgdztt9fme4ev3dvdsqEr6/knIngW2GT8/t57tW9fHT5cL7zQ3n67qrqp6Zo7NzlkePjh/sEH67bbatWqqqpz56rvPaV/EoJngU1+fP7mm7VpU73xRlVV181v0dd8anjk0W5mplt/g4Hc5eGtBQus62oY6vrra/Pmeuyxqqrly+umG4fvfLff+vX+2mvnDxuPq+u8Zvtf+fuxwCbB931t2VJPP10bbh52fqvftOnio/lktbeqXxa29CwW779f77wz/9nMeFx9V52B3OUmeBYXT+lXlOBZLD7yy3auBMFDELdTCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIviDTB3vnx6aUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "548c3ee5e8a1388153ecfe95cba69a8994b97b1f68792219060d484e3c464deb"}
+{"episode": 19844, "episode_seed": 1741820038, "split": "train", "timestamp": "2025-09-15T23:02:45.999990", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1741820038, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [22.361209837220315, -2.131487635322691, -43.97187108118866])</answer>", "action": "('move', [22.361209837220315, -2.131487635322691, -43.97187108118866])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [22.361209837220315, -2.131487635322691, -43.97187108118866])</answer>", "action": "('move', [22.361209837220315, -2.131487635322691, -43.97187108118866])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [22.361209837220315, -2.131487635322691, -43.97187108118866])</answer>", "action": "('move', [22.361209837220315, -2.131487635322691, -43.97187108118866])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c4dbdadbfbeb774c1d7588dc6bf07239009727a05bf50b610c2e77c050da4ca1"}
+{"episode": 19845, "episode_seed": 2375732618, "split": "train", "timestamp": "2025-09-15T23:02:46.636896", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2375732618, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [22.48273041688914, -110.24288883261192, -39.9474100355233])</answer>", "action": "('move', [22.48273041688914, -110.24288883261192, -39.9474100355233])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [22.48273041688914, -110.24288883261192, -39.9474100355233])</answer>", "action": "('move', [22.48273041688914, -110.24288883261192, -39.9474100355233])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [22.48273041688914, -110.24288883261192, -39.9474100355233])</answer>", "action": "('move', [22.48273041688914, -110.24288883261192, -39.9474100355233])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI/0lEQVR4nO3dX+jldZ3H8ffne84Zm8iybjJNcSsyQsopairLWhmb/rgKGUEsFNRSF1IE21JakYF/u+giAqPtRi+dhSgKUiI0dRvLAsvYgt1KtM1KdAaXZmfmnO+ni+9cREzq6NTvnHk9Hre/my+c7/P3/pzv5/v9ntZ7LyDDsNUHAPz9CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCH5d9F6rVfW+1cfBCU3wa2G1qqqazaq1GsetPhpOXIJfC1PqN95YX/taDYM5z9/KfKsPIF3v1Vrt3Vs33FA33VQvOLXvOLfO+oe2WtVsttUHxwnHhN9i0zC/88666abatq1++1B94Qu1WlVr5jzHX+tOqzXw2GP1hteP9/1sWCxqGMZbb2nnv7mNYw3+IXNcOaG2Xu918sl1/eeHYajqdfDgcMUV/cCBrT4sTkSCXwu91+631j+/dzy87PNF3fWfw79/ZXT1juPOkn4tTKv3n/9X7bpwfOh3Qx/reaeM9/x4OOOMaq1a2+rj40Rhwq+FYajVql56dn3ksrZa9jbUw48Mn7q8D4NteY4nE35djGO1Vv/3WH/r7tp7d5sNNR/6nj31T5e05eGaL7b6+DghmPDrYhryJz+7Xf7J2n5S770OHm7XXt/27av53Jzn+BD8GpnPa7Wsiy9pl76rj2Ofz+v7368vf7nGXl3wHA+W9Otl+jTuv7927qyHH67W6tRT69Zb6+UvL9vyPH3OoPUyXZA/66z6zGeOfKv/zW/q6qv6ctnde8fTZ8Kvo3GsQ4fqwgvrzjtrsajVsn/9G+2ii7b6sNh8gl9H0+r9ju+N/3hBtTYsl/Wyl6x+dO9s+3Z78jwtlvTraHoq/o1vGi67rC2XfT6vn//37JqruqfleZpM+DW1WtUwq1/9T79wV//lr9swa89+1njbbfXKcwdPzvKUmfBrajarcVkvenH7139r27a1qtq3f7jyynbwYFW5esdTJPj1Nczq8OF6//vbG163Gld9sa2+fUv9x83jbHbklVhwrCzp19p09e6uu/ru3e3A/9e4qle+on/zW+3006t32/IcM6fMWpsenjnvvPbBD4zjqi8Wde9P6oYbPELHU2TCr7vppXePPlo7zu0PPNiq6hnPqDvuqB07qkr2HBsTft1NN9g997l17XVtuvfuj3+sT3yil9o5doLfDL3XpZfWxRfXalWLRX3nO+3GG3uVbXmOjSX9Zpiu3t19d73zHfXIo9VanXlG33t3e/7zj6z54ckw4TfDMNRyWTt31oc/PFbrs3n9+v763GfH3mu53OqDY3OY8BtjWr0/9FC9/W39Jz9tw6xOeU7fs6cuuKAtlzX3kyI8CSb8xpi26E47rS7/5DhfVGv1yCN13dV9/z732PNkCX6TzOe1WtV73jt7++6+WtZi0b57+3DzzW36aTp4Qpb0G2a6RPeLX/RX7+gHDg7jWKe9YLV373DGma2P1fwD53E5QTbMtC1/9tntik8P49gXi/rf386uubZVVRnyPBETfvNMn9j+/f0t5/d7fzpM3+1vv73OP98WHU/AhN8805A/5ZR21TXD9u19eoTm4x+vAweqd0/O8ngEv5Faq9Wqdu2qd7/7yJ7cPff0L31xNb3cHv4aS/pNNb335r776qKL6oEHqvd64en927c0L7TmcTgvNtVsVocP1znn1If+ZTX9asUDD9bnrx/HscbRwp6jM+E32PTRHTpU5503/ujHQ6tazMc9e4aLLynvveOoTPgNNl2QP+mkuu66NtQ4m9Whw8NVV/f9+/owc+8dRyH4zTY1v2tXe9/7arp698Mf9q9+tZqn5TkaS/qNN23FPfhg7Xzt+Ps/DK3Vtm31gx/UOefYlucvmfAbb3q/3Zln1pWfG8axr1b1mtfUM5955E/w50z4E8G0D7dvX330o/WqV9XHPlZVxjtHIXgIYkl/Qpk24eGvMeEhiAkPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4ETcMlpCqQlUUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c07fe1571f10bc9493c652de86cd12e6fde30db1b230fe3bb44074815fe0a056"}
+{"episode": 19846, "episode_seed": 3965616497, "split": "train", "timestamp": "2025-09-15T23:02:47.631162", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3965616497, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.25210710254291, -4.054141625450431, 38.51266168174925])</answer>", "action": "('move', [-9.25210710254291, -4.054141625450431, 38.51266168174925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.25210710254291, -4.054141625450431, 38.51266168174925])</answer>", "action": "('move', [-9.25210710254291, -4.054141625450431, 38.51266168174925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.25210710254291, -4.054141625450431, 38.51266168174925])</answer>", "action": "('move', [-9.25210710254291, -4.054141625450431, 38.51266168174925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9cb19842dae3ce40bf6c3cb9481bf35991ff81b58f03e1e043feb254fac1be58"}
+{"episode": 19847, "episode_seed": 114465123, "split": "train", "timestamp": "2025-09-15T23:02:48.267447", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 114465123, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.700104221280022, -3.7949379881830603, 33.1049379722139])</answer>", "action": "('move', [3.700104221280022, -3.7949379881830603, 33.1049379722139])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.700104221280022, -3.7949379881830603, 33.1049379722139])</answer>", "action": "('move', [3.700104221280022, -3.7949379881830603, 33.1049379722139])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.700104221280022, -3.7949379881830603, 33.1049379722139])</answer>", "action": "('move', [3.700104221280022, -3.7949379881830603, 33.1049379722139])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5752711643ee5e8a03523a371a21df4afc057c54ef59530e1f555423738d28f7"}
+{"episode": 19848, "episode_seed": 910442050, "split": "train", "timestamp": "2025-09-15T23:02:48.901318", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 910442050, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9490911941754643, -16.86429094270194, -5.010995097028399])</answer>", "action": "('move', [0.9490911941754643, -16.86429094270194, -5.010995097028399])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9490911941754643, -16.86429094270194, -5.010995097028399])</answer>", "action": "('move', [0.9490911941754643, -16.86429094270194, -5.010995097028399])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9490911941754643, -16.86429094270194, -5.010995097028399])</answer>", "action": "('move', [0.9490911941754643, -16.86429094270194, -5.010995097028399])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIw0lEQVR4nO3dTYxdZR3H8f+5d6ZgeOmGADFQY9jwkkZxU5IKVdBq04ARDVVRFooaqdOoqdUUmcCmCxIMiZBGonthA9HSuihFa2IXlISXsEJNSAgVVFqJkHbm3vO4uBV8gVJq0smd3+eznNmcmeR7n/95zj3ndK21AjIMlvoAgNNH8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8ORqbamP4LQTPLm6riose8GTqLXq+zpypOpf2YcQPHHG4+q6euyxuuqq2rmzFhaW+oBOo65FDTTE6/vqujpyuK3/VDt4cFBVX/ly/fSBOvPMiKXeCk+QyerWWt11Zzt4sJudqao69PJbP1/2rPAEaa26rn61qz7/uWqtFhfr4vf3Tzw5uODCpT6y08UKT5Cuq0OH6rZvjhcWqrWqrv/Jfd0FF0as7RMzS30AcDq0VuNxVdXcbf2LLw1nZ2txsb77ncFnPnv8rD6EFZ4IfV8zM/XAA+3hXw6Gw1pcbFd+uN+69fgZbU7wzuFZ/sajGs7UM0+1T3yy/e3VbjDozj67PfJwW/exwWhUM0ljrhWeZa7vqxvU4cO19fv1l792XdeNRjU3V4G1l+BZ9rquBoPaubP27uvOOKMbj+vqtePbb+/G4xoOl/rgTjsjPcvZ5Drc/v113XXHN+1WrqwDB+rSS4//Ko0VnuWstTry95qbq9GohsNqre65J7f2EjzLWGs1GNT2H/TPPFMzMzUatU2b6pZbqu+X+siWjpGe5WmyIffQL9oXv9SGM4PRqC67rPbsqVWrqu9rkLrSpf7dLGvjcc3M1PPP1/bbq6/BaFSzM21+vq1aVaNRbu0leJafycQ+HtePtvd//FOdsaJaa9/4er9pU7e4GHcd7r8Y6VluJvtz99/Xz22p4XAwHteVV9bjj9fKldHD/ITgWVYm2+9PP10bNrRXXumqanbY793XrV3bxe7M/7vsjzuWl0nSx47Vli3t0KGu62o8bvPzTe1vEjzLx2Ra3bGj9u/vZmdrNKoNG+p7W4dR98OdmJGeZWJyfr5vX23cWAsL1fd1/vlt795u9Wqn7m/J3rJkuZgkffjVtmVLd/RorVhRVbVjR7d6dQXeIXMCPveYepOHWyws1LZt9dxzbTishYW66abjX6oLvEPmBIz0TL3JfW8PPdi++rVuYaEWF9sHP9A//tvhxRdXlWH+Pwie6TYZ5v/wfP/xde3FQ8PhsFprjzxc19/QOXX/X/4fTLHJarW4WNu3dy8eGs7O1nhcW+bq+hu68Vjtb8MKzxSbrOH339e+PVczM91o1D7yofFvfjc85xwX3t+e4JlWx79U91T76Nr+jaPDwaDOPbft3t2tWZN7u/u7MvQwlSZvg3zttdq8uf7xxrDrajRq27Z1a9ZUP1b7OxI802dS+3BYd99dvz/QrVhR43H79Pp+8201Hlep/Z0Z6Zk+k+/S7N5dN95Yi4vVWl10Uf16T11+RWU+mvLkWeGZMpO1/aWXan6+jh2rwaBaq/n5uvyK4zfGcgKCZyrddWf/5JNtcofMzTfXrbdWa75C++6M9EyTyfb7Qw+2TV9ok4dbXHJJO3CgO++8qqQ3Rp0ywTM1JrW/8EJdtaZefqW6rqrvd+3qNmx01f1kGemZMpu/Nf7zyzU7W33fb91aGzZ2rsOdPMEzHcbj6rr68T39o3sGs7O1sFDXXNNt++GgNdfh3gMjPVNgcrHtiSfq2mvr6NGqqved2T+6q65el/hCyP+HFZ4p0HXVWq1YUevX12hUo1G74466et1g8vx5Tp4Vnukw2ZZbWKh7761nn62f/bxmhjUYOHt/bwTP1Hjz/vbXX6+zzlrqo5lOgmeatHb8FZGuw50awTN91H7KbNoxfdR+ygQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4J3uk3PzXwIqQAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "864e75f50d3f77df0b0b4576fb35e964a3a57e4617ec628286029bc491fab124"}
+{"episode": 19849, "episode_seed": 4043672199, "split": "train", "timestamp": "2025-09-15T23:02:49.542514", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4043672199, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.690575276180495, 5.691014263446536, 45.28726428825045])</answer>", "action": "('move', [-6.690575276180495, 5.691014263446536, 45.28726428825045])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKI0lEQVR4nO3dX8jddQHH8c95/u0xnGUSCFGZRKybFl6E0VXQRQRZTsmx9W9Bf1AKF0ZlRRQU2KTMGAwvzEaySdJIEAIvuugPduFFCkEhIZF2EWzMxnrcc55zuji/Ns0pKunjcz6vF4eHw56z7XvG3r/v7/f9/Z7fGU2n0wAdFjZ7AMArR/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZGmzB8AmmU6f8Xw0ymi0eaPhFSL4LeXplc6crXQ6Hb777NcsLAwvm06zsTH8rrO/+PQ/hHk3mj77/wclnnpqeKyt5eKLc+GFmz0gXnZm+C3izJmsrT3j8a9/5ZJLsmNHJpMsLOQ3v8kjj2R9Pf/+d556avh66lRe+9rcdFMuvTRJfve73HBDRqOsr2djI+NxNjaGx623ZvfuYd+e+SX4TTUL7MSJ3HJL/va3TCY5fTpra3nyyfzwh3nPe5Lk8cdz1VX5y1+SZDzOZDIUvr6ej3wkv/hFxuOsrOTOO3PXXef5K1ZW8qlPDcEfP54//vH8Izl+/OV5h7y6CH5TzYJfW8uPf5zTp5/xrcceG4JfWsrJkzl1ajjwXlrKykpWV7OxkQsuOPf6yy/Pjh1ZXs7iYpaWsrQ0PL/kkmzfPrzmbW/LDTdkdfXcY9u2rK5mZSVXXvlKvWc2k2P4V4FTp3LzzTlxItu2nQt1377s3Jkka2s5dizHj2f79qysDI/V1SR54xvzjncMW42TJ3P6dC64INu2ZWUli4ub+554dRL8PJqt2E+nmUySZGnp3Cr9eJw8c1l+9vzpi/bML8G/Opzt82yry8tZ+O9lUePxcLLtf5pcWDj3mrOn5Z4dM/yX4F8dztsz/L9ZtHt1kDqvCNfSQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBwznT6bmvc0nwMJhOMxplfT2jUSaTzR7Ny0PwkCSTSUajnDyZz342R49mYSGZx6l+abMHAJvvbO2f/3yOHs3Pf57JJB/9aBYXN3tk/2+j6fxtxODFmNV++nSuvz6HD2d1NWtrufzyPPhg3vCGTCbDbD8f5uitwIs36/nMmezfn8OHs21b1tZy8cW57ba87nXDtmCemOHpNVulm0zyxS/m4MEsL2d9Pa95TX72s1x99WYP7uVhhqfUrPbxOF/6Ug4ezOJi1tdz4YX56U9z9dVzuFw3Y9GORtPpcOLt5pvzox9lcTHTabZvz6FDufbaYVswl8zw1JlOM51mcTHf+lYOHMjKSqbTrK7mttuyZ0/G480e38tJ8HSZzd4LC/nOd/K972VlJevrWVzMgQP59KczHmdxcW6n91i0o9Mtt+RrX8viYsbjjEb5wQ9y443Z2MjCwjzXHjM8VWbH7bfemq9+NaNRNjayuJjvfz833phk/muP4OkxHmdhIbffni9/eWh7NMq3v52bbhrW5Oe+9gieBrM1+aWlHDqU/fuztDRM79/4Rr7+9TlfpfsfjuGZc2dn7zvvzPXXZ2Mjk0kmk3zlK/nud4cNQcPcPiN45tzs4tnDh/OZzwyT+WSS/ftz4EDScdz+dIJnno3HWVrKkSPZuzfTaZaWMh7nC1/I7bcnmecLbJ6L4Jlbs9rvvTd79mR9faj9c5/LoUObPbLNI3jm0+yU2333Zc+enD6dhYVsbGTfvtxxx7kl+kJW6ZlDs9rvvz+f+MS52j/2sRw8OKTeWXvM8Myf2Z78r36V667Lk08Oe/LXXZef/CSrq5lM5vA+Ni+c4Jkrs9p//etcc01OnMjKSs6cya5dOXo0y8vzdvual6D73TNfZrX/9rfZvftc7VddlbvvVvvADM+cmB23/+EP2bUrTzwx7Ml/4AO5555cdFHjGbjzqt/iMRdmtT/4YK69Nk88keXljMd5//tz99256KI5vDXdSyZ4trxZ7Q89lL178/e/Dz/i/r735Z578vrX25N/Bv8SbG2zW1Y88kj27Mlf/5rV1Zw5k/e+d6h99iPunOUYni1sNrf/+c/ZtSt/+tOwSvfud+eXv8yll5rbz0PwbFWznh99NNdck4cfHlbp3vWu3Hdf3vQmq3TnZwPIljTbV3/00ezenYcfHlbprrgix46p/fkInq1ntif/2GP55Cfz0ENZXc36et75zhw5kssuy8aG2p+T4NliZrU//nj27cvvfz98FNyOHTlyJG9/+7CGx3NxDM9WMttX/+c/s3dvHnhgWKV761tz7Fh27hy2BTwPMzxbyWg0zO0PPJDl5Zw5k7e8Jffem507h8+W4PkJni1jdpPpO+7I/fcPH/x42WU5ejRXXOFauhdK8GwZs6Q//vF88INZX8+b35y77sqVVw73n+aFcAzPVjI7hv/HP/LNb+bDH86HPpT19Swvb/awtg7Bs8U8/fo559tfLMGz9ej8JXPow9aj9pdM8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkPw+4l6M7oWg7AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHo0lEQVR4nO3dv4sc9R/H8ffu7e5tIEEljWAnCmdlq5V/gWJpqXVaK/8DQbCwUxD/Av0jxM5GxEYQRLT0QvQ4N9kf8y12srfxUn5nPmdejwdLGHKbZPa4Zz7z+czszqTrugIyTFvvADAewUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQWesdoJGue2J7MqnJpN3eMBLB/6ccV7p3qLTr+q9ef8502j+t62q77f/U4TeP/xKedZPu+s8HIR4+7B+rVb3wQt2+3XqHGJwR/j/i0aNarZ54/P133b1bZ2e129V0Wt9+Wz/+WOt1/fNPPXzY/3pxUc89Vx9+WC++WFX13Xd1715NJrVe13Zbm01tt/3jk0/qvff6Y3ueXYJvah/Y/fv18cf122+129XlZa1W9ddf9emn9eabVVV//FHvvFM//1xVtdnUbtcXvl7Xu+/W11/XZlOLRX35ZX311VP+icWi3n+/D/78vH744el7cn4+zCvkZhF8U/vgV6v67LO6vHziS7/+2gc/m9WDB3Vx0U+8Z7NaLGq5rO22bt26ev7LL9fZWc3ndXJSs1nNZv323bt1507/nFdeqXv3arm8epye1nJZi0W98cZYr5mWzOFvgIuL+uijun+/Tk+vQv3gg3r99aqq1aq++abOz+vOnVos+sdyWVX10kv12mv9/xoPHtTlZd26VaentVjUyUnb18TNJPhn0X7Fvutqt6uqms2uVuk3m6onl+X328eL9jy7BH8zHPo8tDqf1/TxZVGbTX+y7V9NTqdXzzmclrseMzwm+JvhqT3D/5tFu5tB6ozCtfQQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQxMdU09LxXRF8VPcIBE9LIh+Z4Gljf8/r77+vn36qR4/q+efr7bdruXSL+mEJnjb2d7X/4ov6/POqqrOzeustwQ/Ooh0t7W97vbe/sS2DEjwtzef9xm5X63XTXckgeNrYH7cLfmSCp6XFot/Ybvvg3b58UIKnpeMRfrttuisZBE9Lh+APIzyDEjwtmcOPTPC0cVi0m06rBD8WwdPSIfjNxnn4MQielq6P8FbpByV4WlosHNKPSvC0NJ/3k3mr9OMQPC0Z4UcmeNrYD+yzWR/8duvCmzEInpaM8CMTPC0d5vBW6ccheFo6nJazaDcOwdPSIfiuc+HNGARPG/+6tLbKCD8GwdPSYdGuBD8KwdPSYdGuyqLdGARPS8eH9ObwIxA8LZnDj0zwtGQOPzLB04ZV+iYET0vHi3b7ObxFu0EJnpauL9q5z9SgBE9Lx8F7t9wIBE8zu93V22Pr8Qg/9SM5JN9d2tgfuk8mTzkPbxo/HMHTzD5sc/gxCZ5m9sH/a5Ve8IMSPI2dnPQbFu1GIHgaO9xAdrOprrNoNyzfXRo7Dt4gPzTB09hx8N4wNzTB05gRfkyCp7FD8IePpncefjiCp5n9GTiH9GMSPI1dH+EZjuBp7BD8em2EH5zgacwIPybB09h83m+Yw49g1noHSHd62l9d23VG+MEJnsZ2u77zP//00fSDm3S+uzT1yy/1+++1WNTt2/Xqq7VcVtd5z9xQBA9BHNLT3mHQMbAPTfC0p/PROC0HQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4Hthuc6k1wmn4AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.690575276180495, 5.691014263446536, 45.28726428825045])</answer>", "action": "('move', [-6.690575276180495, 5.691014263446536, 45.28726428825045])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.690575276180495, 5.691014263446536, 45.28726428825045])</answer>", "action": "('move', [-6.690575276180495, 5.691014263446536, 45.28726428825045])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "546a8c696a44ea864a65485fde646e088dae51d471ce109bb9b92f49233e8557"}
+{"episode": 19850, "episode_seed": 2285926925, "split": "train", "timestamp": "2025-09-15T23:02:50.528694", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2285926925, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.5812809729994625, -0.9220544814169419, -1.5015828793169892])</answer>", "action": "('move', [-0.5812809729994625, -0.9220544814169419, -1.5015828793169892])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.5812809729994625, -0.9220544814169419, -1.5015828793169892])</answer>", "action": "('move', [-0.5812809729994625, -0.9220544814169419, -1.5015828793169892])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.5812809729994625, -0.9220544814169419, -1.5015828793169892])</answer>", "action": "('move', [-0.5812809729994625, -0.9220544814169419, -1.5015828793169892])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIgElEQVR4nO3d36tlZR3H8e+z9h5t1LxwxgtlLmQso0FKU8QsQ2mKdCRHNBPEEEZR+je8FyyCwkwJ1Ci0KUNFEb2QBH9cjGlahmiWMKDIoDOi5+z1dLEP3alnZk7N3nxer6tzztVicd77WetZz3p2670XkGE41gcA/P8IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoJMj/UBwNHqfe2H1o7pcSwDwbP0dL5+gmfp3XZbnXxyXXddbdlSk4n+P03r/70egmXTe73zbp25vd5/v046qW6/vW6+uXrX/Ccyaceyms2qtbr7l+MHH9RkUgcPrv19HI/pYS02wbOshqFWVuq3v6veazars8+uXbuq3NJ/KsGzlObD++OP91f/NrRWVeN3d46nn16rKzX4p/5kzg1LaX7dfv+9/eDB3ntt3Trsvqq5e/9Mgmf5rK7WdFov/aU//ec2T/zcc8ZvXtzGsYbJsT64xSZ4llJr9egj/Y03qlVNp3X99a3K/Pxn8xyeJdN7Taf13nv1p4eH+a/btvWrrm6918Tw/lmM8CyZ+d37s8/WM8/UdFpVdfXV7eTPG97XRfAsk/kwvrJSDzxQH39cVTUMdcst1bvJ+XVxklg+/3qr/+a+2TDUbFa7dtWZZxrb10vwLJ8/PlTvH5xMJtX7eNNNNQxlgfg6CZ5l0lqtrtYvft6ramW1vvTFuujrvUrw6yV4lsa86qeeqldebdNpVe8/unE4ZUsbRzfw6+U8sTTm8/M/+8mstTaOtXVL7fx2dz1/WDyHZznMh/HXXqunnxl6r95r58523vnm5w+PU8VyGMdqrX59z/jOO9VaHX9833X5OJnU6qop+sMgeJbAfHg/cKAeebTNd23Z8eX63q5hHNfW3rBOgmcJzGY1DPXII/XXV1prVdV2fqdv3bL2kizr5+ORRTdfPD+O9fDD9eGHVVWnnFI33jhYPH8EjPAsuvnd+7599dhj1Vq1VhdeWDt2lKdxR8AJY9G1VuNYTzxR+/f3yaR6r1tvrSq1Hwm71rLQ5sP4u+/0Sy7pL708tFbbt/dX5wtvOHw+JFlo8zm5Z59rL71cmzZV73XLLW06tdjmCAmehTa/nv/VXb0Nw2xWJ26e7d6t9SMneBbXfEXdm/+svXv70Goc6+prhjPO8CDuyAmehdZa3XVnX50NrdV0Ml77g9q0yeP3Iyd4FtqhQ3X/fWNVzWZ1wYXDBRe28lUTR0HwLKjZrKrqD3v7W/+etFa99ysuH089dW3VHUfGww0W0XwSvrW6996+slJVbdu2uuyyZnL+KPmoZBGNY00m9dxz9fwLQ1Wr6t+4qL7y1TabWU57VATPIpqP5A88WPv3V2u1eXO79ofNlfzRcwpZOLNZTaf19tv12KNr+9WddVZdccXaWzQcDcGzoJ58su/b14ehWqtrrqnjjvPF7xtA8CyW+Uuvhw7VQw+1sQ9VdcLmcc+eKm/LbASnkMUyv3v/x9/HvXvHybTGsa78fp12WpXH7xtB8CyW+S60D/6+ffTR0FpV9Vt/vLZrJUdP8CycAwfqnrt7azVbrfPP6+d9rRvbN4rgWSDzkfyJJ+rNt4bptHrve/YMJ5zYfDPsRhE8C2S+g9VP75i1VrNZnX5av/TSXmV+fsMInkUxr/rFF+v5F4b5a/BX7h62f6HNV92xIQTPopgHf8cddfBQa602f268/LJx09TwvpEEz6KYP2Y/4YQ644yazeqcc4eLvzXYmnZj2cSShfP663XnnbVjR91wQ3lbZmMJnsWyumrB/P+Q4Fk447i2y4WxfcMJHoKYD4Eggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wEHHcHiW0dbWwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f3405c5a6efb1addd5eccd942b38b11bbf514e2e3c54284971b1bb04ff562e6d"}
+{"episode": 19851, "episode_seed": 3422266785, "split": "train", "timestamp": "2025-09-15T23:02:51.166932", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3422266785, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.314849803165078, 8.84846154192483, 29.753201890957143])</answer>", "action": "('move', [-21.314849803165078, 8.84846154192483, 29.753201890957143])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvklEQVR4nO3dvW9ddx3H8c/xdRpEWzs0ceKUhDSpqJBAHViQGGCCrTDy1yAxILEwsLIw0a1TJSSQmDpUYkZIgEIT1QXHMVUc+pCmie9huAeHBkF5KLnx/bxe8nDuia/zu1He93seEnsYxzFAh7VlLwB4dAQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRdaXvYBPwjhOG8Ow1HXA424lgj/qfD7P4WGG4SMfwN8M49F4PI7GMcOQd9/N3bt55pl/lfc4Zj73LkC5Yz7hF8H/5Cd59dV88YvZ3s6zz+b06Wxt5cyZnD2bJ5/M2lqSDENms+kp9+5NexwIUOY4T/hF7R9+mG99K7/4xYP9w5Dt7Wxt5fLlvPJK1teT5E9/yrVrOX8+Fy/mxIl/9TWPvgisnOMc/MK9e/n5z/P663nrrVy/nqtXc+PG9Eubm7l1K/N5ZrP8+Mf57nezsZFTp/KZz+TChTz/fJ57Lleu5EtfysbG9Pbx71j8iXlH4Bg65of0SU6cyEsv5aWXcvfu9PHee9nZye9/n9kswzAFf/169vezv//w07e28tOf5pvfnK4F/OhHuXw5V67kypU8/XTW17O+Pp0UHDlK/fBwin/xG8Fj7/hP+I+1GN17e/ntb3PtWt54I9eu5erVHBzk4CCnTuXll/PlLyfJr3+dF1988MTz5/P5z+f553PxYr797elzxjHvv58kTz65jBcD/5PjP+GPPPTOdTRyFxvnzuXcuXz96w8+YT7PH/6Q27fzhS9Me+7dy1e/mlu38uc/5+23s7ub3d289lqSnDkzBf/uu/n+93P9el54IZ/9bLa389RTefHFnD37f3558AkomPBHxnH6WGz/43H4OOadd3LjRvb2srs7bezv5+rV/OAH+cpXkuR3v8vXvpabNx88azbLyy/nO9/J4eF0IwAeVys04T/WQ7ffFnfm/37/MGRjIxsbeeGFjzxxfz+bm9P2mTP53vfym99kZydvvplr13L7dk6enL4gPN6aJvy/Yz7/yIHAMEx39R5yeJg7d3LnTt5/P7dv59KlbG7+B9f5YUkE/3EW8a/5X0asAsH/V/7ZBUJ4vDWdw3+CFM7x5EgViggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiqwvewHwSI1j7t/POGZtLbNZhmHZC3q0hnEcl70G4BEx4WkxjhmG/OpXeeWVnDuXCxfyjW/k9OlpfwnB02IR9i9/mR/+MEnOn8/PfpbTpzOfZzZb9uIeFRft6LK7myeeyGyW06ezsZGkaLzHhKfH4mrVG2/kww+TZHs7zzyz3BUtgQlPi8Uk39mZHm5tZWOj6wQ+gqfH2lo++CB/+cv0cGsrs1nu31/qmh45wVNhPk+SN9/M3bvTnnPnkpjwsIoWJ/A7O/nggyQZhmxvTxtVBE+Fh4J/6qlpwgseVtbOznRIf+qUCQ+ra3EOf3SJfnNT8LC6FmHv7k4PNzdz9mzdFbsIngbjmPX13L+fg4Npz+ZmTpzI/fuCh5WzmOQ3b+b27WnPs89O+9sIntW3CPvGjSn4YcjFi9NGG8Gz+hbB7+1NwZ84kQsXEsHDCtvbyzvvJMmnPjVN+LW+v/59r5g+i3tyu7vTxlHwhQTP6ltM8ps3p4cnT+Zzn0sc0sPqGcfMZhnH7O1Ne55+Op/+dA4PBQ+raBhycPBgwi/GeyfBs+IW5+0HB9nfn/Y891xSeTwfwVPi1q0HE/7SpaUuZakEz4pb3IQ/Cn4YpuA7J7xvYkmFt9/OfJ719YxjrlxZ9mqWx4RnxS3uyd24MT0chukcvpPgWXGL4P/4xySZz7OxMX136s5DesGzyhYn8Hfv5q23kmQ+z6VLjf+i9kjxS6fGe+9NwSe5fLnoB0v9Iz89ltU3jrlzJ4eHSfLEEzl5ctkLWh7BQxGH9FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkr4aztBq6t+c3AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.314849803165078, 8.84846154192483, 29.753201890957143])</answer>", "action": "('move', [-21.314849803165078, 8.84846154192483, 29.753201890957143])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.314849803165078, 8.84846154192483, 29.753201890957143])</answer>", "action": "('move', [-21.314849803165078, 8.84846154192483, 29.753201890957143])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "484ba9b688e51f5062b21bf3fb8b683cdd6d2cca0b340a47264048443b871ca8"}
+{"episode": 19852, "episode_seed": 2952967061, "split": "train", "timestamp": "2025-09-15T23:02:51.813521", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2952967061, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3949721041082259, -0.7153507101523527, -49.10478447327423])</answer>", "action": "('move', [0.3949721041082259, -0.7153507101523527, -49.10478447327423])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKlklEQVR4nO3dW4ic5R3H8d9M1mg1CNHYRgWb0lARTKNEKKG6WlsrojceGi9WlFLqhbU3QsUW78R6IRQRPIEUihXbm7bkqhgFE2PEUyuhXZTWQxvTVNNDrDHU3Z2ZXrzTHaOxzSabnZ38Px+WwM5khmF3vvs87/MeptXr9QLU0B72CwAWjuChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoZG/YL4GD1eun1kqTtrzSHSvCLXbfbT31sLK3WsF8NI07wi1Gvl2433W5arYz991fU6WTXruzala1bc/XVOeOMob5ERpPgF5HZzpcs6X8leeedvPpqJifz4ot59tn8/vdJsmxZvv3t9HrGfOam1Wu2Cxme5jfQ6+23cf7SS3nuubz8ciYn87vf5d13+7cvXZokl1+eX/xiwV8oo88Iv9A+nnczSrda2bkzmzfnqaeyfXt27sxbbw0etWRJOp0kmZpKkt270+1avWPOBL8QmlW3JvVmot5E3ulk79789rd5/PE8+WRefz3vvZcPPjjAM7TbWb48F1yQr30tF16YU081medQCP4Imt0mb7f7nSeZns7u3fnLX/LMM3niiTz99GC6/hEnnJAVK7JqVcbH89WvZv36/nweDplt+PnX66XTSbebY44ZjMO7duWPf8wrr+TZZ7NtW159tX9787dgenrw8FWrsnp1zj4769dnfDwrVx7g+RMjPIdC8PNmdt4+O5jPzOQ3v8lLL2X79mzfnpdfzr59/buOOSbJoPMTT8y6dTn33KxZk3POydq1g56bTfd2W+HMA8Efotkf28c7/POf89RT2bo1k5N5883s3Dm4a2wsnc7gsWvWZHw869fnzDOzalVWrBg8+fR02u3+F8wXwc9Nc9xbq7Vfh71e3n8/27Zl06Zs3pwdO7JnT/797wM8vN3OySfnwgtzySX58pfzmc/kpJMGT9VsCDSRG885EgR/iKam8s9/ZseObN6cJ57IM89k794c8Gd5/PFZvjyrV+fii/P1r2ft2nzqU/v9h2bS/pE/InAkCH4OOp389a/5058yOZmtW7NlS954o39XMyzPzAz+8+c+l89+Nl/8YsbHMz6eU0756LP9j40COEIEf1CamfZbb2XDhrzwwiDspUvT7Q6+PfnkrF2bNWuydm3OOy9r1gyeodNJq9X/gmGxH/6gNJW223n77XQ6OfbYTE2l1+sf93bOOTn//HzpS/nCF7J6dU46qf+objedTn/wn126hyES/Bycemouuyz33ZcPPsjKlbnoolxySc47LytX5pRTBkP3zEz/yNl2u7/7DRYJwR+UVqs/q7/yyhx3XCYmcuaZOe64/ZbZZmb6M/YxP1QWK9vwh6s5az3W3hgFgp8bS+uMNLPPudE5I82hHkeX2bNw4UAEfxRpDvpttTTPJxH80aKpvTkdT/N8AsEfFZpdBbt25frrc++9Bz5xB6zSHw2asX3PnmzYkE2bsmxZnn8+Z53lqnd8nDfEiGtqn57ON7+ZTZuS5Ac/yBlnDA4PgA+xW26UNbX3evnWt/KrXyXJbbfl+98f3AX7M8KPrCbpbjc335xHHkmSm2/OXXf198ypnQMR/GhqLoj7r3/lttvy4INJ+st1DbXzCQQ/strtTE9n+/Z0u7nqqjzwQGImz/9hlX5kNYvwO3fmJz/JDTfk9NPVzv8l+FEzu1A3+++Hb4f/yZR+pDTn3P/61/nGN/Laa4Mj6tTOwbFbbnR0Ohkbywsv5MYbs2NHpqaycePg+Hk4CEb4EdF8avwrr2RiIjt25NOfzne/m1iQZ25sw4+CZhh/881cfnkmJ3PiiXn00VxxhZk8c2WEHwWtVv7+91x7bSYnc+yxuf/+XHFFpqfVzlwJfnFr5l//+EeuvTbPP5+xsfzoR5mYyMyMC+JyCAS/uHW7SfL009m8OUnuuis33dTfnoe5sw2/iDWfVtOc4vrjH+eNN3LHHf3T4EzmOSSCX6w+vCA3e2a7U9w5PN49i1WrlTvvzN1397+dmVE7h8+BN4tPE/Z99+X225PktNMyMeGCFswLI8Zi0utlZibtdh55JLfckiRf+UouuKD/UXWC57DZhl9MOp0sWZKNG3PddXnvvaxbl5//PJ//fP92OGyCXxyay9S029myJddck927s3p1Nm50LUrml3fSotFuZ9u2bNiQ3btz+un52c/UzrzzZloEmj1wU1N5+OG8/XZWrMhPf5p16/rb8zB/rNIPW7fbP3526dL88IfZuzfXXJOLLsrMjA+aZ97Zhh8ql6xhYZkxDk9z5Ozf/pbvfS9/+EO/9tkBH44AI/yQNAfSvP9+brwxjz2Ws8/Oli1ZvnzYL4ujnBF+GJo9cN1ubr01jz2WViuXXpply4b9sjj6WRYahuZzne+8s38x+e98J3ff/dGr0MIRYEq/4Jqqf/nLXHVVkkxM5KGHcsIJdrmzAIzwQ7JuXa68Mvv25Z57cvzxamdhGOGHZ9++7NmT005TOwtG8EPimhYMg+CHZ/aEGVgogodCDC9QiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/gPhKbrdf3tBTQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3949721041082259, -0.7153507101523527, -49.10478447327423])</answer>", "action": "('move', [0.3949721041082259, -0.7153507101523527, -49.10478447327423])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3949721041082259, -0.7153507101523527, -49.10478447327423])</answer>", "action": "('move', [0.3949721041082259, -0.7153507101523527, -49.10478447327423])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "83ddbce44493a441807f82fc7f47f69184a5f5781c1e229fc6ac539cb5d7d778"}
+{"episode": 19853, "episode_seed": 2041234646, "split": "train", "timestamp": "2025-09-15T23:02:52.806797", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2041234646, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4095269131790887, 0.16357021319486126, -3.2158703407987255])</answer>", "action": "('move', [0.4095269131790887, 0.16357021319486126, -3.2158703407987255])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALRElEQVR4nO3dXYhU9R/H8c+ZmZ3N0vKhDHswjaKLupG26EGyLiwMzSwMEUkXthbb2jS0LLpwSy3LSs1SM1y7KEtjCaWWzegiViiTvKggQdDMSslK0JLdmTPnf3GOo0Lu7sBfd2Y+79dVMO1yhH3v7/f7njOzQRRFAuAh1d8XAODcIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwUhT19xUA54h98FGkIOjviwDOEfvgg0D//qsoUqHAUo+qZxx8nPfOnZo5U1u2KJVSodDf1wScXZn+voB+Eu/ku7r0wgvaulU7dmjwYI0bxw4f1c11hQ8CFQrKZNTUpFGjtH+/pk1TZ6eCgI09qlgQVdHPd/xPKWGFLhSUSmnbNtXX69dfdcUV2rxZt9yiMFQ6fdYuE+g31bbCl7ZCp1LK5zV+vNat0/DhOnBA06fru++UTnOeR1WqnuDDMKk93q33VSajQkETJqi1VUOHau9eTZ2qb75hhoeqVCXBR5HSaS1cqOZmHT+uVEph2Ocvjtu+9169955qa/Xnnzp6NPmmQHWphjN8fBLfsEH19ZI0ebLeekuXX17iSTz+vz/9VFGkiRNPjuuZ26OKVHzwhYKCQHv26M479dtvqq1VV5duuEGtraqrK3GMV/wNUYz87781ZEjyGwWofBX/c5xKKYp09dVavFiDB6urS9msfvhB48errU1BUMqRPp7Vxb8kjh7V00/rjju0b1+JJwSgfFX8Cn+q7dvV0KCfflJNjXI5SVq6VHPmKJstZXsfr+e7dunWW9XVpbo6tbXpyiu5V4cqUPErfFGhoNtv12efafx45XJKp5VO65lnNHu2Dh9WOt3nRTrevY8Zo1WrVFOjnTv14IP65Rfu1aEKVE/w8b579Ght2qTZsxWGKhRUU6P16zVlinbvVjpdytw9DNXQoOXLlU7r2281daoOHkzOD0DFqqotvU7M3fJ5rV6tuXMVhspm1d2tkSO1YYPuukvq49w9ipTPq6ZGy5frqacURRo7Vp98omHDmNujclVb8NLJmXp7u+rrdehQ0vyAAVq+XI88oiDo23k8fs9sOq1ly7RggcJQY8dq2zaddx7No0JVz5a+KN53R5EmTNAXX6iuTt3dymZ1/LgaGzVvno4dS3YBvQiC5JmcefO0aJFqa3XZZckwkDfPozJV4QpfFC/1hw5p7lxt3Jg8RFso6L77tGpVn+fuxVv5H3ygKVM0YAC35VG5qjl4nTjSd3XppZfU0iIpuWM3ZozWrtVNN/V5b16MPP6PH3/UVVdp4MCzevHA/12Vr1TxrbTaWi1cqPff18CByuWUzWrXLk2apI8+Ovn4bC/i99Xl8woCbd+u++/X9Onq6urbFwPlosqD1ylH+unT1dGha65JjvSHDmnGDC1alLzNrve79JlM8uDeV19pzx5t3aoZM5TLlfjuPKA/VfmWvihuPpXSvn1qbNTnn598Gq++Xq+9piFDlMuppqa37yIpCDR/vpYtk6SHHtL69Tr//OS7A+XN5Wc0nriHoUaNUlubmpqUyymVUiaj1lZNnZo8kNvL6L543H/1VT3xhCRt2qTGRh0/Lol1HuXPZYUvKk7fVq7U/Pnq7k6W+uuu04oVuueePszg491CFOnxx7VmjSTV12vNmmR7wP15lDGXFb4oPtIXCmpu1scfa8SIZCe/e7emTdPbb58cxp9RfJJPpbRihRoaJKm1VQsWJC8BZcwueJ0INp/XpEnq6NDNNyej+yNH1NysefOS3X5PY7z4w7SyWa1erZkzdcEFmjAhmd6FIXN7lC27Lf2p4rv0f/2lpiZ9+KEyGUWRwlAPPKA330weq+tpjBfv/v/4Q8eOafTo017i2VuUJccVvih+/9zQodq4Uc89J0lhqJoatbVp4kTt2NHbGC/e/V9yiUaPTlb1XE7t7erulrg/j3JkHbxOHLoLBS1erHXrNGxYsqrv2qXJk7VpU7Ls9xRv8eV//tGTT2rSJLW0JNt7mkeZcQ8+Fh/pZ81SW5uuvz450h88qJkz9fLLvX1OVvxyECiT0e+/Kwy1dKlaWpROs6tHubE+w58qPr1nMvr5ZzU2qqMjeV9NGKq+Xm+8oYsu6vHNNvGh/ciR5E9TptN68UU9+yyHeZQVgj9NnHR3t5qb9c47iiJlMsrnNXas1q/Xtdcqnz/zyh3P8A4f1sMPq71dklasUHMzH4aH8sGW/jTxGC+b1Zo1euUVDRqUfOxNZ6fuvltfftnjkT6+lXfxxWpt1bhxuvRSjRwpcXMeZYQV/r/Fq/WWLZozR3v3Jk/jDRqk119XQ8PJJ/PP+JX79+vAAd1227m+bqBHBP/fikf677/Xo4/q66+TW3RBoLlztWSJstkzH8+LL7CZR5kh+J7k88pkdPiwHntMmzdLSj7ueuJErV2rESOkM23Y43ty1I4yQ/C9iBfpQkHPP69ly5K79LmcbrxR27ertra/rw8oBUO7XsRjvFRKS5bo3Xc1fHjS/KxZ1I7KwwrfJ8UpXWenmpo0bpxWrizxL1UCZYDgSxAf6ffu1dChuvBCidpRaQi+NMzdUdEIvmTxX6RnbUclInjACFN6wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5H92fiRIn9ETVgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4095269131790887, 0.16357021319486126, -3.2158703407987255])</answer>", "action": "('move', [0.4095269131790887, 0.16357021319486126, -3.2158703407987255])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4095269131790887, 0.16357021319486126, -3.2158703407987255])</answer>", "action": "('move', [0.4095269131790887, 0.16357021319486126, -3.2158703407987255])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIs0lEQVR4nO3dTajldR3H8e//f+65D04MLRJxIcVsEmRKqYUFziIiCKIkR8YZR0YNRRsQpcYxHejBpxp8aMaJSRxjnAfLIatFREEm4jJB052SC3EZLlKZmXPPOf8W5zaSmNl4x/vweb1WA3fzY7hvfr/v73/u/zRd1xWQoV3qBQAfHcFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkPTgu26pVwAfodzgJ6k3zTv/hlUvN/hJ6ocO1TPPVNPUcLjUC4IzLzf4Eydq9+7atq22b68XX6ypKc2z+jVd3nF2PK62raNHa+vWhc7Xr69jx+r88xd+BKtV4m/35DC/fn1dfHENh9Xv10sv1eWXd6+8Um1rnmc1S9zhq6rrqmnq1Vdr06buueea6ekaDOqznxn/5rftunX2eVat0N/ryS3dunV15HBz0YXdYFBzc/W3F9srNo1fe63a1jzP6hQafNXC9P7p8+vQobrggjp+vGZn66/PNVs2d6+/XlNTNRot9RJhsYUe6U8ZjarXq+ef7664onn55ZqersGg27Chjh1rzjnH2Z7VJj34+vel/QsvdBsvq7+/2kx2/ksuqSefrLPPXpj2YXWwf1Xb1mhUF17YPPFEfeqT4+Gwpqfr2Wdr8+Z6441qGvf2rB6Cr6rq9Wp+vj73+ebxx9vzzqvBoGZn66mn6sot4zf/WU1T4/FSLxEWg+AX9Ps1HNYXvlhHjtS559aJEzUzU3/8U7Nl8+itt6ptNc9qIPh3TKb3DRvq8OE6+xPdyZPV7ze//0N71ZWjN9/UPKuBS7t3m9zb/+XP3aZN3T/eaHtTNRqOL7t0fOjo1NxcVbnDYwWzw79br1ejUX3py83RI/XxtePRsPr99snftd/aNhoO3eGxsgn+PUzu8L7y1fbw4frYmtH8fE1Pt7/6dXvtttHkKZ2zPSuU4N/b5A7va19vHzvYnDU7HgyqP90c+WV77bbRcGieZ6US/H81+XTtNze2Bw/WmrNGw/nq9ZqDh3s33liDQXWdsz0rj+Dfz2Sev3xT++iBZna267rq9erAgbr55oWDveZZWaaWegHL3aT5TZvb+VFdfXWNxzU1Vfv311Q73ruvFTwrix3+f+v1ajisrVvrkUeq62o4rKmpeuhnzXduHnsHJiuL4D+QyTx/zTX18MPjthmPxtXrNQ/saXbuGE2Gec2zIgj+g5rczF9/fbtvX021o2qqaZrd9zW7bh9X1WikeVYAwX9QTbNwUXfjt9v776vxcNSbqrZt7/lx86MfjL30lhXBR2v/b5PP3t5/3/i7O6rXa6tqNOruurO7Y1frhRksc4I/HZPmf3Lv+Lbbq2napq2m6+65t7n11qVeGbwv+9HpmMzzO7/X3nVndd24bWrcNbfdVg88UGWeZxkT/OmYzPNVdceu9offr9Go6/er62rnztq7d+ExnuZZhhzpT9+pr6PctavuvrtmZmowqOl+99M9dcMNzfx89ftLvUT4T4L/UCZP4Nu2du6s3bu7qalmPK6Zmdq3r7v22sYdHsuN4D+syf/feFw7dtSDD3a9XjMa1Zo19fP93darGi+9ZVkR/CKYVD0a1S23dA89VP1+Mz9fc3P16IFu8xbNs4wIfnFMTu/DYd10U7d/f83MNCdP1tq19YtHu29c2jRN9XpLvUQQ/CKaND8Y1Pbt3YEDzdxcnThRa9fW00/XRRctPLqHpeXPYxfN5OF8v1979jTz8/XYY1VVGzfW5CurnOpZDuzwi2wysb/9dl13Xa1ZU3v31tyc76tiuRD84pvkffx4NU3NzvpGSpYRwZ8Rp7Z0ezvLihn+jDj1+nq1s6wI/kyROsuQ4RKCCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AssWQk0yIN3qwAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIs0lEQVR4nO3dTajldR3H8e//f+65D04MLRJxIcVsEmRKqYUFziIiCKIkR8YZR0YNRRsQpcYxHejBpxp8aMaJSRxjnAfLIatFREEm4jJB052SC3EZLlKZmXPPOf8W5zaSmNl4x/vweb1WA3fzY7hvfr/v73/u/zRd1xWQoV3qBQAfHcFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkPTgu26pVwAfodzgJ6k3zTv/hlUvN/hJ6ocO1TPPVNPUcLjUC4IzLzf4Eydq9+7atq22b68XX6ypKc2z+jVd3nF2PK62raNHa+vWhc7Xr69jx+r88xd+BKtV4m/35DC/fn1dfHENh9Xv10sv1eWXd6+8Um1rnmc1S9zhq6rrqmnq1Vdr06buueea6ekaDOqznxn/5rftunX2eVat0N/ryS3dunV15HBz0YXdYFBzc/W3F9srNo1fe63a1jzP6hQafNXC9P7p8+vQobrggjp+vGZn66/PNVs2d6+/XlNTNRot9RJhsYUe6U8ZjarXq+ef7664onn55ZqersGg27Chjh1rzjnH2Z7VJj34+vel/QsvdBsvq7+/2kx2/ksuqSefrLPPXpj2YXWwf1Xb1mhUF17YPPFEfeqT4+Gwpqfr2Wdr8+Z6441qGvf2rB6Cr6rq9Wp+vj73+ebxx9vzzqvBoGZn66mn6sot4zf/WU1T4/FSLxEWg+AX9Ps1HNYXvlhHjtS559aJEzUzU3/8U7Nl8+itt6ptNc9qIPh3TKb3DRvq8OE6+xPdyZPV7ze//0N71ZWjN9/UPKuBS7t3m9zb/+XP3aZN3T/eaHtTNRqOL7t0fOjo1NxcVbnDYwWzw79br1ejUX3py83RI/XxtePRsPr99snftd/aNhoO3eGxsgn+PUzu8L7y1fbw4frYmtH8fE1Pt7/6dXvtttHkKZ2zPSuU4N/b5A7va19vHzvYnDU7HgyqP90c+WV77bbRcGieZ6US/H81+XTtNze2Bw/WmrNGw/nq9ZqDh3s33liDQXWdsz0rj+Dfz2Sev3xT++iBZna267rq9erAgbr55oWDveZZWaaWegHL3aT5TZvb+VFdfXWNxzU1Vfv311Q73ruvFTwrix3+f+v1ajisrVvrkUeq62o4rKmpeuhnzXduHnsHJiuL4D+QyTx/zTX18MPjthmPxtXrNQ/saXbuGE2Gec2zIgj+g5rczF9/fbtvX021o2qqaZrd9zW7bh9X1WikeVYAwX9QTbNwUXfjt9v776vxcNSbqrZt7/lx86MfjL30lhXBR2v/b5PP3t5/3/i7O6rXa6tqNOruurO7Y1frhRksc4I/HZPmf3Lv+Lbbq2napq2m6+65t7n11qVeGbwv+9HpmMzzO7/X3nVndd24bWrcNbfdVg88UGWeZxkT/OmYzPNVdceu9offr9Go6/er62rnztq7d+ExnuZZhhzpT9+pr6PctavuvrtmZmowqOl+99M9dcMNzfx89ftLvUT4T4L/UCZP4Nu2du6s3bu7qalmPK6Zmdq3r7v22sYdHsuN4D+syf/feFw7dtSDD3a9XjMa1Zo19fP93darGi+9ZVkR/CKYVD0a1S23dA89VP1+Mz9fc3P16IFu8xbNs4wIfnFMTu/DYd10U7d/f83MNCdP1tq19YtHu29c2jRN9XpLvUQQ/CKaND8Y1Pbt3YEDzdxcnThRa9fW00/XRRctPLqHpeXPYxfN5OF8v1979jTz8/XYY1VVGzfW5CurnOpZDuzwi2wysb/9dl13Xa1ZU3v31tyc76tiuRD84pvkffx4NU3NzvpGSpYRwZ8Rp7Z0ezvLihn+jDj1+nq1s6wI/kyROsuQ4RKCCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AssWQk0yIN3qwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d016c5b4adcbcd78b33c4199f7984fff766c4fd786588549a74190582bc3813e"}
+{"episode": 19854, "episode_seed": 2583825623, "split": "train", "timestamp": "2025-09-15T23:02:53.453521", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2583825623, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.075442783591013, -0.6116141413208683, -11.023595349305348])</answer>", "action": "('move', [9.075442783591013, -0.6116141413208683, -11.023595349305348])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.075442783591013, -0.6116141413208683, -11.023595349305348])</answer>", "action": "('move', [9.075442783591013, -0.6116141413208683, -11.023595349305348])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKuklEQVR4nO3dX4gVZQPH8d/MHHdVLBMqVkEtKAmCjSStNiEWjBQtpUgyujE0sAXL1lKhwiIJwz8E/TWqC8mNoAsXLZKVKK3EXcE0JAvZvDFBVgP/rLvnnJkuZkiSXt83eHOew+/7wQs53jyK33meM88zs1GWZQLgIS57AACuHIIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGKmUPANayrPhNFJU6DhvM8ChNraYoKn7hyiB4lKZS0cCA3n5bx44pTcsejQeCRwmyTIOD2rZNjzyijg6tWqU4vri8x78nyvhnxpWVZYoiDQ1p7lz19Ki5WfW6vvhCM2eqXleSlD2+/0X+d2hAzPC40qJItZqam9XRobFjNTysWk0vv6yhocaZ5xuzdhE8SpEkqtU0f75mz1aWqVLRnj16//3iWhC6M2fU1aXubkkNd++B4FGCKFIcS9Lq1br+etXriiK98476+zVihOr1ssd3eWvW6LHHtGmTTp1qnDVJgeBRjjhWva7WVi1ZoixTkujwYb33XrFXF7T775ekvj798IPUYJM8waM0SaIs0/PP66abVKupUtHmzTp4MOBZMx/W1Km6+WadPas9e5RlAQ/3bxA8Snb11Vq7VpKiSKdP65VXAl7S52uPceP08MOStGOHTp0KfkHyFwSPkmWZ5s3TnDmqVlWpaNs2bd+uKAp11sx3DtvbFUXq7dVPP5U9oH+G4FGmPOzmZr34okaPLj5cuVKDg6EGn8/nra26805lmT7//OKHjYDgUbIoUppq2jQ9+aRqNSWJjhzR668rjoO8HRZFqtfV0qL2dmWZNm/WwEDZY/oHCB4lyyf5ONayZZo8WWmqKNK77+rnnyWF930+vz5lmdraNGGCbrutODkQ6ILkUhytRRDyr8br12vlymISXbRIH35Y9B/Wkjk/V3v2rPr7NWmSxo5toJO2BI8g5LNmtaoZM7R/v+JYTU3q7tZ99xU7dvi/YEmPIMSxokgjR2rNGlUqiiJduKD163XmTLFdH5wsK75v1Os6f15ZFuQoL0XwCEV+gGXuXM2bp3pdlYp27tRnn5U9rMtIEvX1adkyvfBCwBuJf8GSHgHJ/zP+8oumTdO5c8oyTZ6svXt13XVSaJtf+V2HFSu0YYMmTtSePZo0SWlaPCQQqqAHBzd50lOmqLOzCKq/Xxs3BpZ6Lg+7o0OjRunECe3YISn8Z/0IHsHJMi1ZotZWVauKY735pg4dCm/JnF+EbrxR06erWtXu3ZJUqQQ2yksRPMKS73OPH6/OTiWJkkTnzmn1aqVpeHvyuYULJen774vnfkI8LXQRwSM4eTUPPaRZs4pJftcuffqpKpXAms8n81mzNHq0fv1Ve/eWPaD/juARnHySHzNGzz2nq666uEV38qQU4Nm7lhbNmaM41tdfa2go1F3EAsEjRPlkfu+9WrCguHt34IA++iiwV1zmV6bmZj34oNJUXV368Ucp6GO2bMshUPmh2uPHdfvtGhhQmmrCBH31laZMCenltvlQjhzR8uW65x499ZTGjSt7TJdD8AhXfkR90yY9+6wqFdVqWrpUb71V/GlAe3VpqmpVzc2SQroa/Q2CR9CyTMPDuusuHTigJFG9rm+/VVtbkI+rBH/qRnyHR/iam/Xaa0qSovBVq8K7b5eLYx0/rsOHQ/4OT/AIXZapvV0LFhSvx9i9W1u2FPfLQpEfsNu6VfPna/Hi8NYeFxE8gvbnO7A6O9XSUrwq49VXdfJkSGfv8nGcOqXeXvX2av/+ix8GhuARujhWraapU7VokdJUSaKjR7VuXUg/piZ/Xv/xx3XLLarX1dUlBXhgQCJ4NIR8jbx0qW69tTh79/HH2rdPI0aE0Xx+7bnmGk2frixTT4+Gh8N8Xz3BowHk9+cnTtTTTytJFMc6cUIbN2pwMJiFfX5//tFHFcc6elQ9PcWbugJD8GgMlYrSVIsWqa2teOlVd7d27gzmJGs+n7e364YbdPasvvwyzFt3BI+GEUWqVLRuXfF0zeCg1q7V77+HtHYeOVIPPCBJ332n335TkoS0lyARPBpIvnq/+24tXqw01YgR6u3Vli3FHwUhy4qnZQ8dUl9fYJuHEift0FjyA3bHjumOO4ofADFunA4e1PjxwRxyO39eGzZo5kxNn168mjMkBI8Gkzf/xht65pnigP0TT+iDD8I7bJumStPQ3rBN8Ggw+VN0AwOaM0f79hVvxdm1SzNmBPPcSsCH6gMdFvCf5Hfsrr1WK1Zo1CilqYaH9dJLunAhjC26/DDg0JC2b9fWrRoeLj4MA8Gj8cSxqlXNm6fZs4uU+vr0zTeK4wB2vvO7dJ98ooULtXy5Tp8ue0B/wZIeDaxa1dBQ8e29qUlNTWUP6E+DgxoaUhxrzJiglvcEDxgJ6NoD4N9G8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AECJqnjP76iNwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.075442783591013, -0.6116141413208683, -11.023595349305348])</answer>", "action": "('move', [9.075442783591013, -0.6116141413208683, -11.023595349305348])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4a9a43ae82789e0cf204527e900140280d34787e02d94f2dcc44e31c94151d71"}
+{"episode": 19855, "episode_seed": 3609972323, "split": "train", "timestamp": "2025-09-15T23:02:54.092880", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3609972323, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [196.21933451378462, 117.16474277217684, -54.36385943420944])</answer>", "action": "('move', [196.21933451378462, 117.16474277217684, -54.36385943420944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [196.21933451378462, 117.16474277217684, -54.36385943420944])</answer>", "action": "('move', [196.21933451378462, 117.16474277217684, -54.36385943420944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [196.21933451378462, 117.16474277217684, -54.36385943420944])</answer>", "action": "('move', [196.21933451378462, 117.16474277217684, -54.36385943420944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3945e6ee907c415d7feae042c1e0304ad4be0ca23c074fdb345c60446918a85e"}
+{"episode": 19856, "episode_seed": 3808770510, "split": "train", "timestamp": "2025-09-15T23:02:54.730903", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3808770510, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.777977559849847, -10.995987416245201, 14.814394720577658])</answer>", "action": "('move', [-6.777977559849847, -10.995987416245201, 14.814394720577658])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.777977559849847, -10.995987416245201, 14.814394720577658])</answer>", "action": "('move', [-6.777977559849847, -10.995987416245201, 14.814394720577658])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTUlEQVR4nO3dz69cZR3H8c/MXAwhEUiVAGKMNb20lxaCENQ0ooQY0BCxGhNZsDHRxIUb3JCUmJhYYGH8C0x0iZGSJqYo8UepAbnaaPwBTTBG5UdTWxJTFeS2vXfmuDinBSrQ3t7izOH7eq1uz6Zn857nmfM8z5lB0zQBahhO+waA/x/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUMjftGzhTTZOmSZKhzyg4W4OmzQgooAfDZdNkPM6zz+bb386dd+bZZ5NkMpn2bUEPzfqUfmUlc3PZuTNf+lJeeilJbr45X/xixmNze1i1WY+mrfq667JuXXdlz54MBhkMpnhT0Fc9CH48zvx8Nm/urjz5ZA4ezNycWT2s2qwHnxPP52++OaNRkvzpT3niiSQZj6d7X9A/PQh+NMpgkNtvzzvfmSTHjuXXv06S4TBWGGBVehD8YJDJJFdemSuv7K489lgOHcpoJHhYnR4En3SP6D7zmQwGGQ7z29/m6aeTCB5Wpx/Bt7ZtS9NkOMzKShYXu7+BM9ePYtoRfn4+V1+dlZUkefjhvPhiBgODPKxCP4Jvzc3lc5/r/ti3L88/P+0bgr7pTfCTSQaD3Hpr9zV+eTk//3kSO3BgFXoTfBv2hg3ZsiXHjyfJQw9N946gf3oTfJKmybvelVtvTZLRKIuLOXBg2vcEvdKb4NvV+OEwH/1o96xueTm7dydOzsEZ603wOTGr37IlGzd2ke/alViNhzPWs+DH46xfn61buyvtQRpb7uAM9Sz4dlb/kY90B2n+8Y/8+MfdGzKA0+pT8EnX+U035f3vT5Ljx/Ozn1mZgzPVs+BPHo/ftKm78tRTeeEFx+PhjPQs+CSTSZomN93UjfZ//nP27k0cj4cz0L/g2+Pxt92Wiy9OkmPHuvdhmNjDafUv+HZWv7CQDRu6K7/6Vf7+d7N6OL3+BZ8Tg/mnP50kw2F+//vs359YkIfT6WXw7TH4bdu6gzQnX3plVg9vrpfBtxYWsnlzdzz+Jz/Jv/7lLXdwGj0Ofjh85Xj84mKeey4xq4c31dfg27Bvu+2V4/F793rpFZxGv/vYsCFXXfXK8XhP6eHN9Tj4pslFF3WD/GiUX/4yBw9O+55gtvU1+PYgzWiUj32sm96vrOSRRxJf4+GN9TX4nFiEW1jIpk3dvtqdOxPBwxvrd/BNk/Xr8/GPd1d+97scPmxxDt5Qv4NfWclgkA9/uNtg/89/Oh4Pb6bHwefElrutW7N+ffeWux/9yH47eEO9D35lJfPzueqq7sqTT+aFFzIaWaKD19Hv4Nuv8cNhbryxOx7/zDPZs6d7+x1win4HnxMvvfrkJ/PudyfJ0aN5/PHp3hHMrt4H3x6P37IlH/hAd+U3v8mhQznvPLN6OFXvgz/pU5/KcJjBIH/8Y/7whzSN4OFUb4fg22f1n/1sBoMMBllayr593aEa4NXeDk2063CbN2dhoRvV9+zJkSMZDg3y8BpTDb5pcuRI98eaDQbZti1J5ubyxBN+PR5ex1SDP3o0N9yQX/xi7cto7SfG7bdnNMp55+X48ezenaaxCQdeY6rBv+Md+ctfsn17/v3vTCZrn39v3JgrrsjSUt73vrz0UsZjwcNrDJopHjRZXs755yfJt76Vr30t43G3qr567WA+HueBB3LgQG65JR/8oNrhVFMNfjLJF76QnTtz6aV59NEsLKyl+eQ1c3jzefhf05vSt3tid+zIJZfk8OHce2+OH1/j0dZ2kF9etq8WXt/0gm/3wW/cmK9/PaNRvv/97N699kG5fWjXnpYFTjHtKf1gkCNHcscd+elPc9ll2b8/69ZN7X7g7W5umv95e7p13brcfXf+9rfceGOWl7spvQEa3gJTHeFb7a73p5/O5s3dP9UOb40ZCP4kqcNbbGb20o/HaZocPZpdu/Kd73RXgHNqqt/hX61dfn/oodx5Zy67LNdemxtuWOOyPHCKmRnh228WH/pQrrgihw5lx44sLXnjNJxbMxN8uyw/P59vfCNJfvjD/OAHvtLDuTVjD+2SHDuWz38+Dz+c9743+/bl8ss9zINzZWZG+Jz4vbjzz8/27bnkkhw4kHvumfY9wdvKLAWfZDTK8nK2bs1XvtLtt33gge6DAFizGQs+ydxcJpPcdVeuuSZLS9m7N/EDkXBuzNJ3+JMmkwyHeeSR7N+fL385F17oazycEzMZfOy6g7fE7E3pW+0q3cpKN5k/eDBLSyb2sEazGnySwSCjUVZW8r3vZX4+3/1u9ykAnK0ZDr5t+z//ya5defnlfPOb+etf0zSah7M2w8G34/nFF+e++/Ke9+Tw4Wzf3v2aFHBWZjj4vOqXIr/61SR58ME8+GASy/Jwdmb1Kf1Jk0maJseO5ROfyOJiNm3K4mIuuijxVhxYtdke4ZNuDn/BBdmxI9dfn/vvz4UXJmqHszHzI3yrXZZvN+QAZ6sn/bQP8ByPh7XpyQgPnAs9GeGBc0HwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4X8F53hVPuunJOXAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.777977559849847, -10.995987416245201, 14.814394720577658])</answer>", "action": "('move', [-6.777977559849847, -10.995987416245201, 14.814394720577658])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "169ab76a518d515ae10dbf3ec21b5096589609f5ec5a2abe8e2a5476480cf473"}
+{"episode": 19857, "episode_seed": 4228291400, "split": "train", "timestamp": "2025-09-15T23:02:55.718731", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4228291400, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.483917777219496, 22.723329041406497, 3.3928466623413365])</answer>", "action": "('move', [16.483917777219496, 22.723329041406497, 3.3928466623413365])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.483917777219496, 22.723329041406497, 3.3928466623413365])</answer>", "action": "('move', [16.483917777219496, 22.723329041406497, 3.3928466623413365])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALPElEQVR4nO3dS2wVZQPG8WfOpS1EFgJpNYqCxeBGFi5kp2jSqoEYQFzIohAFMQgtYATTYCMJNYEgN0lDSBAhCm7EBKsCohCjRBAvoUY0qAFLkHhLYAOUc2a+xcx3CkakFdrTc57/LyxI28Uk7f+877zvXIIoigTAQ6rYBwCg/xA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8eiaKin0EuA4IHj0QRQoChWGxjwPXiuDRA0GgCxeUSimfZ6gvaQSPHjh4UA0N+vZbpdOKIuXzxT4g/EdBxAc2riT+2+jq0j336LvvdOutamnRrFmSlM8rnS7u0eE/YITHlQVB8m/uXNXU6ORJPf20pk3TL78kQz1KDSM8eqajQ4sWadcuSRo9WsuXa8qUYh8Teo3g0QPxBP78ea1apeXLdfasKis1c6ZWrlRVVTLUB0GxjxJXx5QePZBOKwxVVaXmZrW3a9w4XbigAwf055+KIoUhK3mlghEevRFvyJ85o2XLVF+vurrLVu9yOWUyRT0+XAXBo5fCUKn/Twzj/k+d0uLFmjtX48Zd9l0MPPxu0EuplKJIuVwyk5f07LN64w1NmaJ165Lao4g1/IGJ4NF7QaBMpnsknzRJNTU6dUrz52vqVHV2Jpt5ND/wMKXHtYln9ceOqbEx2bQbMUKrV2vy5GQuwOr9QMIIj2sTj+R33qkPPtDy5aquVmenpk7VwoU6cULiNruBhREe10NhK/6TT/TSS9q3T0OG6NAhjRnT/S2G+gGA4HGdxCt52az++EPr1+u22/Tkk39ftGeGX2wEj+uqsBUfL9SnUsrl1NSk6dN1770Sd90UGefwuK4ymeQ5GYUHZixbprY21dVp3TqdO6d0WrkcJ/bFQvC43gpz+Pg/t9yi2lqdPaumJjU06OjR5EOB5+cUA1N69KX4pP3oUS1Zoh07JGnUKLW0aMaM7u+iHxE8+lh8Vt/VpQ0btHSp/vpLQaCGBr34omprab6fETz6Xj6vVEpBoK+/1nPPad8+SfroIz34YLKGxxX4/YXg0S8Ku/FdXWpp0fnzeuUVBUF352HIXn0/IHj0o79N4OOBfe1ajR2rBx6Q2LTrc8yj0I/i2uMt+lxOqZQ2b9b8+ZowQStX6vz5ZNMOfYbg0e8Kz8aUVF2t2lqdO6fnn9fUqTpyRJkMu/R9hyk9iu34cTU3a/t2Sbr5Zq1dq8cfL/YxlS1GeBRVGGrkSG3Zoo0bNXSofv1Vw4cnX0cfYIRHsRX25D79VJ2deuIJiWty+grBY2Cg8H7BlB4DQ3yzDTP5PsYIDxhhhAeMEDxghOABIwQPGCF4wAjBA0YIvnzEr2xmJxv/gn34MnHphWo8PwZXwt9FOSi8323JEp05o1RK+XyxjwkDEsGXvLj2c+c0b55aWzVpkr7/Xuk0N5XjHxB8yYtn8s3N2r1blZXav191dXr//eTrnNLjUgRfJu67T9XVunBBFRU6eVKTJmnFCl28mLzrCYixaFcO4ll9R4dmzdLBg8pmdfGiJDU0aMUK1dR0v/EN5hjhy0EQKJ/X3Xfrvff01FPJwJ7JaOtWPfaYvvpKmQzjPCSCLxvptPJ5DRumjRu1enXy9NeKCn32mSZP1vbtjPCQmNKXmcIO/J49mjlTnZ3J2F5VpYUL1dp62c/AEMGXm8J72X/8UbNn6+OPlckon1cUacoUtbWppqb71U9ww0d9uYlf35TPa/Rotbdr3rzkIyCb1Y4dqq/XgQPJ/J+PekMEX57iC28GDdK6dVq/XjfeqIsXlc3qyBFNnKjXXktO6dmld8OUvszFL2vbt09NTero6F6uX7hQL7+sykpO6b0QfPmLx/YTJ7Rggd55R+m0gkC5nB5+WG1tGjWKF7ca4bO9/GWzyuV0++3atk0vvJC8x7GiQrt2qa5Oe/cmC3hM7x0wwrsoTN23bNGiRfrtN1VUqKtL2azWrNHs2clKHi9rLm8E7yW+CPfQIc2Zoy+/7D6lnzNHS5dq+HAuwi1zBG8nHupPn9aCBXrrLQVBclne+PFau1ZjxzLOlzPO4e3Eu/Q33aTXX9eyZcntdBUV2r9fjz6qnTuT2jmlL0uM8KYKF9vt3KnZs3X6dHJKP3iwWlq0eLHERbjliOB9xb/5INAPP2j6dB08mKzbSZo2Ta++qqFDuQi33PAB7ivee48ijRmjDz/UjBnK55NT+m3b9NBD+uYbLsItNwTvLt6BHzJEmzdr1SrdcIPyeWWzOnxYEyZ031dL8+WBKT0kKQwVRUqntXevnnlGP/2UPDanslILFqi1VanUZU/CRokieCSiSGGodFrHj2vWLO3dm+QdRZo4UZs2qbq6+7QfJYopPRLx2XsYauRIvfuumpqSUT2bVXu7xo/X558n5/zs2JUugsdlUimFoaqqtGaNNmzQ8OHJxP7oUdXXa9OmZNGeF12UKKb0+AeFx+bs36/GRnV0dD8Jt7FRra3J2h4X5JUcgscVxffV/vyzFi3S228nF+GEoerr1dam2lqW8UoPU3pcUXxf7R13aOtWtbQoDBWGqqjQnj165BG1t3NTbekhePybTEZhqMGDtXSp3nxTw4apq0uDBunYMW3dmvwMc8QSwpQeV1c4pT98WHPm6IsvdNdd2r1bI0YkX0epIHj0VHwvze+/a/FiTZ+u++/nHL70EDx64dLCqb0U8XAT9EJhlS6+DhclhxEevcbYXrpYb0GvUXvpInjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyP8AYNY4DnrDU1gAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.483917777219496, 22.723329041406497, 3.3928466623413365])</answer>", "action": "('move', [16.483917777219496, 22.723329041406497, 3.3928466623413365])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIk0lEQVR4nO3d3atldR3H8e9a++yjFyL0IIkUSWFdCJZkGUbENDplmZhKoqAQJqgTZJqNDeaoMzmaVmOZCj0gehFI6OVkOaNiJpUJaoIl6GQ3WVRqg8149t6/Lvbx2MXUoM6Zc8bP6/UXLDbnvb7r91sPp2utFZChX+oDAPYewUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwbMbrVVrS30Q7CGCZze6rrquqmT/RiB4/qdp4c8+W488UlXVdTWZLO0R8XoJnl1rbT7vtWvr6KNr48Z68cXq+xqPjfp9mODZtdZqMKibb67bb6+dO2vt2nbySePHHmuDQbVW4/FSHx+vieDZhYUZvm1bbd/eur5mZ7u7fjE47ri66cbW9zUYaH6f1DXXZ+zK9O9i58665ZZae8n4n88PhsOam6uq9rlTJ9dcOzj00Gptfj+PfYXg2b1HH2kXXlhbtnZVNTOs0Vx797u6b2yYnHZ6XyX7fYng+X+mW3eDQe3YUddeM7nq6rZjx2B2tl56qYbDyRfObhuuGrz5TfPbe70F4rIneHZvMpmP+Z6t7SsX18MPVz/ouqrxuI44ojZtqhUrqqrG4xoMlvZI2Q3nZHZvWvtkUis+3t29pfvi6tZXG49rOKxHH61Vq+qKK9rzL9RgMF3ks3yZ8LwKC6P+p7e3r6/rnniihsMaj2syaceurPVXtg8f07dJVWdVv0wJnldnMqnJpGZm6umna926uu22qqrpqv7gt43XrOku+PL8Tl6V7JcdwfOqTR+8mZmpubm69da25qv1939005t2XdVnTph893v9Ow+t+q8rApYJwfMaLcT8xz/U+eeNt9zTV3XTB3IOPmh8/Q2DU06ZX9UPh0t9rLzM6ZfXaFp7a/We99bdWwfr19db39LG4za7X/3lb4PTTqvVq9szz9RwWKORx++XCxOe12v6wnzf1333tksvbb98oOv7ru9rNKojj6wrr6wTTrCkXy4Ezx7QWo1GNRzWX59t39nUXX31pKqf7uQdcECde27bsKHbbz/ZLz3Bs8eMRjUzU1V118/a+au7p56qvp9/CO/oD01u+H5/1FFVns9ZUtbw7DEzM/N5f+KT3YMP1pln1qCvqpqdrV//pl+xon37W5MXX6zBwKp+yZjw7HkLr9P8+Edt/Ybatq0bztbcS1U1+exJtX5Dd/jhncfvl4TgWSzTS/ffP9YuW9fdeeekqp+ZqdGo3vH2dsXl7fNn9+VG/V4neBbRdFW/c0fddOP4snX9v7Z3L79UPznrrG7jxu6QQ2oyeeU7mSw2wbO4FrboHnqoXfCl9sCvqu/7vq/RqB12WHfddXXiiVVG/d7iN2ZxTb+BN5nUUUd1d2/t11zc9t+/jUY1O9s9+WSdfHJddFE9//z8fr6v4i42E569ZGEnb/Pmuvji9vjj3cJNuw9+YLzp+v6Yj3Tlpt0iM+HZSxb+m8Xxx9eWLd0558zXPjtbv/3dYNVx7eqN7d8v37RjkZjw7G0LM/wnP6mvrRn/6c/9zLAbj6q1WnXs+JvX9u97vx28xWLCs7cNBvPL9dNPr6339qee2kZz1VrNDOvnd/ef+nTdeONSH+IblwnP0lj4PObcXP3wB+2SNZMXts9/CXs4rM2ba+VKW/d7np+TpdF186N+OKzzzu/uu7//2Ecn00/inXFGrVxZ5Tm8RWDCs/Smk/ylubp8Xd1/f91xRx10kM/dLwrBsywsXL0/91wdeKDZvlgEz3KxsKpn8TiRslx03Svvz7NITHgIYsJDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8AEuYb5edTzYUAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b8a56312861dc21712314041761fd1ad8257c2cfffef68e14246fa81ae93e6db"}
+{"episode": 19858, "episode_seed": 4037821014, "split": "train", "timestamp": "2025-09-15T23:02:56.364590", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4037821014, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-28.093171838924732, 81.79131074088504, -49.541456795442166])</answer>", "action": "('move', [-28.093171838924732, 81.79131074088504, -49.541456795442166])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-28.093171838924732, 81.79131074088504, -49.541456795442166])</answer>", "action": "('move', [-28.093171838924732, 81.79131074088504, -49.541456795442166])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-28.093171838924732, 81.79131074088504, -49.541456795442166])</answer>", "action": "('move', [-28.093171838924732, 81.79131074088504, -49.541456795442166])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2239a5e241dcd9b03d743e264447a0bd2ce0270c8bafeb137716cf8ba79b6246"}
+{"episode": 19859, "episode_seed": 1134499865, "split": "train", "timestamp": "2025-09-15T23:02:57.014561", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1134499865, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.142616246319203, 1.7155773517155135, -19.8772882155649])</answer>", "action": "('move', [-6.142616246319203, 1.7155773517155135, -19.8772882155649])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.142616246319203, 1.7155773517155135, -19.8772882155649])</answer>", "action": "('move', [-6.142616246319203, 1.7155773517155135, -19.8772882155649])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.142616246319203, 1.7155773517155135, -19.8772882155649])</answer>", "action": "('move', [-6.142616246319203, 1.7155773517155135, -19.8772882155649])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALSElEQVR4nO3db2hV9QPH8c+5d3fDUrRQKzAi+mMWglFGCpYlSmqoC8IwbA/qgRZI6tIsjZmimQ1NiNkfKypr0WgVTiRIctAftAdSD6bFsJwNopVpSO3+Oz04Z5e5+KW/0nt37+f9eijCvoLv8/2e7/mesyAMQwHwkCj1AAAUD8EDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjASNkGn88rDBWGpR4HUE6qSj2AfyUMlSjbSxVQOmWYTRgqCNTdraYmZTLK5Uo9IKBslNsMn88rCHT0qBYuVHu7Tp7UypXK55nwgbNRbp0EgcJQNTW64AJJamhQW5sSCeZ54GwEYdnte0XzeU+PpkzRoUO65hp9+KHGjWOeB86oDAtJJJTPa+RIvfqqhg/Xd99pyRKdPKlEgk174J+VYfBS3PakSdq0SdXVSib1yy88pQPOqAyX9JFo2Om0Wlo0Z46GDYtv4xMJBUFphwYMWmUb/ADRszoA/6g8l/QFYahsNn5W9803qqvT8ePxnwP4m3J7Dj9AECiRUCKhri7V1qqzU2Go11+Pj+Ix5wOnK/MZXn2b9pdfrtpaSXrrLTU2KpFQNss8DwxQEffw0Q18Lqd587Rrl0aOVHOzpk3jyTwwQEUEr77mu7o0Y4YOHdK11+qTTzRmDJt5QH+VMgEGQbyw37ZNw4bp22+1eLH+/DM+igtAUuUEL8X37dOnq6FBQaBdu7RhQ6nHBAwuZb5LP0AyqTDUsmX6+mvt26fJk6W+R3Qs7IHKuYcviDbqjh1TdbVGj6Z2oL+KC76/wi59JqNUig08oILu4fsLw7j248d1//1asUL5fPzngLHKuocvCIJ4Mm9p0dtvKwh0ww166CHlckomSz04oGQqdIaX4rdl587VrFkKQz36qD7/XMlkPNWXblAl/flwZ3AP39Ghu+7S0aMaO1b79umSS0p+M5/NKplkPwElULkzvBR/627cOG3frqFDdfiwHn5Y6XT8TfviihYcJ0+qq0tVVZKY6lECFR28+k7jzJypVauUSKi1VZs3x4/riytaVezerbvvVmNj/JofH+lBkVX0kj4S3Tfn81qwQC0tGjJEu3dr6lRls/FUW5QhBIGOHNH06ersVBBoyhQ995wmTpT6Pr3NCh9FUOkzvKQgUDKpVEovvKCbbtKTT+rWW+PIinWxi2JubVVnpyQlEmpv1+2366mndOJEfFaAD22jCAxm+Eg0yfb2qqZGUjy9F2v3Lvo5f/yhxkY1Nam7W1VVyuUUhpowQRs2aOZMqe98EHD+2ARfUDh+d/CgJkwo2jvzhWvLV19p40a9/74kVVcrnZakxYu1bJmuvlq5HJ/qwXlksKTvL/r0VTqt559Xba1eeSX+YM75FzWcyejmm/Xuu9qxQ1deqXRayaQSCTU1ae5c7dgRP65zuwijaMxm+Ogfm8/rzjvV3q7Ro9XaqsmTi3kCr/CjjhzRxo16+WWpb6pPJjV7tjZt0nXXxcNkMw/nllnw+ttpnIkT1damUaOK+T2s6LlBdOpvzx7V16ujQ5KSSeVyGjFCa9Zo8WINGRI/t+M7XThX/P4rRWv4ceO0ZYtqanTggJYsUTpdzFOv0XOD6Aoza5b279eyZbr4YuVyqqrSb79p+XLNmqUvvogf12cyxRkXKp9f8Or7TVX33KMVKySpuVlbthT/pZpo3g5DDR2qxka1tOiOO5TNSlIqpU8/1dSpWr1a3d1KpeKv7wP/kd+SPhKtlbNZzZ+vDz7Q8OHauVOzZ5fqmH30lPDUKW3frk2b9PPPceRhqFtuUX297r03HjW39PgvLGd49b0/W12tbdt04406cUJvvBHvkpVCVZWyWV14oZYv1969mj9fmYzCUKmU9u/XAw+ork7d3fHoPC/ROCdcZ/hItGP+0Ufau1f19SX/rHX0Uk8yqd5etbRo5Ur9+GN8acrnNWaM1q3TwoXxqwBs5uFf8A5eg3GVXHhc8NNPevxxvfeeTp1SKhVv3c2Zo/XrNX68pGK+DYAKYR98wSArvzCc1lZt3KgDB+K9/WxWw4dr9Wo9+KAuuohX6/H/IfjBKwzjB3U9Pdq6VVu3njbVT5umFSs0Y4YkfqcWzhbBD3aFdftnn+npp/Xxx1LfybwRI1RXp4YGjRjB97hxVgi+DBQ2837/XW++qTVr9Ouv8bE8SWPH6plnNG+exC/dwJkQfNkoHMLv7FR9vdra4tdpoxV+XZ3WrtUVV0hs5uF/I/hy0n9j8bXXtHmzOjri12lzOV12mdat04IFGjJEmYyqqpjqMRDBl5/CQ/gfftDmzXrxRWWzqqlRb68k1dbqscc0aVL8N2ke/RF8uSp8HmfPHq1dqy+/lBSv8C+9VIsWadUqVVdzV4/TEHwZi16nSSTU06OmJq1fr3Q6PqUraeJEPfuspk4t6RAxyBB8eSu8Wi/p4EEtXap9++JD+NES4JFH9MQTGjWK5T0kgq8M/WPeskXbtun77+Mj9/m8xo7VSy/ptttKOkQMDpzPqgSFt+jyeS1dqrY2LVigXE75vFIpHT6s7u74L8AcwVeO6PM42ayuv147d+qddzR+vDIZLVqk++5jSQ+JJX1FyuXi+I8dU3Oz5s3TVVdJ7NWD4CtV/8085nYUEHwl4y06DEDwgBGu/4ARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMhfTeM80n++GQkAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2UlEQVR4nO3dT6hmdR3H8e/vnOfemdJcjIsWLoJp2x9LF6GQkv2hUTG1sYzRgsacSg3JFgWVSCGRkpMK4rgRRpSZ0SEEFcwoVy4SBMMwd25SaBIcpem5z3NOi+eOFRVFkLfn+bxeyzub3+K+53vO75zfuW0cxwIydFu9AODtI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsqzBj+NWrwCW0LIG39pWrwCW0LIG//zzdfz4Vi8Cls2SBT8MNZ3W4cN17rn1ta/VWDUMW70mWB7LFPwwVNfVvffWFVfU8eN18GDtv2PsuprPt3plsCSWKfiFd7+7duyotbWaTOo73x5/8dTQ95qH/8gyBd9azee1e3d966ZxY6OGsf50ott3bf3ud6Pm4T/RxqV6wDWONZ/XfF5X75kdOtKvr7fptC69tA4erHe8o8axumX6HwzebkvWR2vVdbVtW91z7+QD7xun09q2rY4eHW69dWzNw3n4N5Zswi+MY7VWzz5bF3ysXj+++ZNDh2r37s2NPeCfWso4FsP8rLPqjjvGcRz7vlqr66+vF16orjPn4V9ayuDr5AbeF7/UrruuzWbV9/Xqq/XlL4+vv17lxVv4F5Y1+KrNS/cf/ag+8YmazWrb9nrmmbrpm8Ni/mse/tESB99aDUO98511++21c2f9+URNJu3Afe3O/fOuq9nGVq8P/v8s5abd35rNajKphw8PV15ZY+vm89qxYzxypJ1/fs3n1fdbvT74f7LEE35hMqlhqMt3d9/97jibjZNJHTvWbrxx/P0r1fcu7OHvLP2EXxiGGsf63BXDw490k0nNZuOllwyHH+4X9/nO0sLC0k/4hdaq7+uuu7r3v2+czWptrR39WffDHwzexoG/tSITvk6epfvVL8cLPz28eaLv+pr0dehQXXKJm3nYtCITvqoW52TPO7/d/pM2mQyTvqYbdcMN9dJL5WgNLKxO8FXVdTUMde2+bu/eNp3W+lq9/HLt3Vuvvbb5DA/CrVTwi825Yahbbmkf+UhNp9X39fTTdfPN42JXb1VuX+C/tDr38G9Z3My/8EKdd14dO1Zra9VaHThQV121eeoGYq1g8HWy+UceqcsvH7quG4Y69ZTh6afbhz7cHKcj2Wr+7i9u5i+7rL73vW4Yan293nizu3rP8NofHacj2moGvzCO9a2bxot2DdPpOJnUb37b7/vqOJ3WbKZ5Qq1s8ItJfuq72k/vbO/dOZ/NxrW1Onyk7d8/rq3ZsSfUat7Dv2Xxys1TPx8/u7sdP16tjdu3jw8fqU9+qpvPqp9s9frg7bWyE36h72tjoy74ePvOt8f5vMaxvfFGt++r7cUXq594G4c4Kz7hF8ahWld7rpw/8FC/vl7TaV18cT30UG3fXq15UEeQFZ/wC62rqrrrnv7MDw7Taa2t1aOP1i23bG7mQ46ICV8nP3T73HO1a1e9+urmJ/EefGD4/Bc6T+bJkfKbvij8zDPr1ls3N/Bbq+uub8/+2l+nI0hK8FXVdbWxUXv21Nf3DcMw9JM69sd2wzfaH/5QXe/anggpl/QLw1Ct1XSjLr5oePLJtn17O3FivGbveO+BbvFPNvBYbUETvk6+jbNtve6+u3vPe9qJE9X37cB9tf8ngwt7EmRN+IXFLt1jj42XfqaGsQ1DnXrK+Oij7aPnOU7Hisua8AuLp3G7drWbvz/OZkNr9frxds1XxldeKd/AY7UlTviFxScxrtozPvhQra+36XS88MJ29GitrZnzrKzECf+Wvq8f39bOPrtNp1XVnniiHn+8quzYs7Jyg++6ms3qjDPqttvqtNPq9NPr/vvrootqHH3ilpWVe0m/sDhOd/Bg7dxZ55yz1auB/7H04Kv+esfuHVtWnhPh1VrNZpt/uwZWmwkPQVzCQhDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5C/ABbCFTItGbS6AAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2UlEQVR4nO3dT6hmdR3H8e/vnOfemdJcjIsWLoJp2x9LF6GQkv2hUTG1sYzRgsacSg3JFgWVSCGRkpMK4rgRRpSZ0SEEFcwoVy4SBMMwd25SaBIcpem5z3NOi+eOFRVFkLfn+bxeyzub3+K+53vO75zfuW0cxwIydFu9AODtI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsqzBj+NWrwCW0LIG39pWrwCW0LIG//zzdfz4Vi8Cls2SBT8MNZ3W4cN17rn1ta/VWDUMW70mWB7LFPwwVNfVvffWFVfU8eN18GDtv2PsuprPt3plsCSWKfiFd7+7duyotbWaTOo73x5/8dTQ95qH/8gyBd9azee1e3d966ZxY6OGsf50ott3bf3ud6Pm4T/RxqV6wDWONZ/XfF5X75kdOtKvr7fptC69tA4erHe8o8axumX6HwzebkvWR2vVdbVtW91z7+QD7xun09q2rY4eHW69dWzNw3n4N5Zswi+MY7VWzz5bF3ysXj+++ZNDh2r37s2NPeCfWso4FsP8rLPqjjvGcRz7vlqr66+vF16orjPn4V9ayuDr5AbeF7/UrruuzWbV9/Xqq/XlL4+vv17lxVv4F5Y1+KrNS/cf/ag+8YmazWrb9nrmmbrpm8Ni/mse/tESB99aDUO98511++21c2f9+URNJu3Afe3O/fOuq9nGVq8P/v8s5abd35rNajKphw8PV15ZY+vm89qxYzxypJ1/fs3n1fdbvT74f7LEE35hMqlhqMt3d9/97jibjZNJHTvWbrxx/P0r1fcu7OHvLP2EXxiGGsf63BXDw490k0nNZuOllwyHH+4X9/nO0sLC0k/4hdaq7+uuu7r3v2+czWptrR39WffDHwzexoG/tSITvk6epfvVL8cLPz28eaLv+pr0dehQXXKJm3nYtCITvqoW52TPO7/d/pM2mQyTvqYbdcMN9dJL5WgNLKxO8FXVdTUMde2+bu/eNp3W+lq9/HLt3Vuvvbb5DA/CrVTwi825Yahbbmkf+UhNp9X39fTTdfPN42JXb1VuX+C/tDr38G9Z3My/8EKdd14dO1Zra9VaHThQV121eeoGYq1g8HWy+UceqcsvH7quG4Y69ZTh6afbhz7cHKcj2Wr+7i9u5i+7rL73vW4Yan293nizu3rP8NofHacj2moGvzCO9a2bxot2DdPpOJnUb37b7/vqOJ3WbKZ5Qq1s8ItJfuq72k/vbO/dOZ/NxrW1Onyk7d8/rq3ZsSfUat7Dv2Xxys1TPx8/u7sdP16tjdu3jw8fqU9+qpvPqp9s9frg7bWyE36h72tjoy74ePvOt8f5vMaxvfFGt++r7cUXq594G4c4Kz7hF8ahWld7rpw/8FC/vl7TaV18cT30UG3fXq15UEeQFZ/wC62rqrrrnv7MDw7Taa2t1aOP1i23bG7mQ46ICV8nP3T73HO1a1e9+urmJ/EefGD4/Bc6T+bJkfKbvij8zDPr1ls3N/Bbq+uub8/+2l+nI0hK8FXVdbWxUXv21Nf3DcMw9JM69sd2wzfaH/5QXe/anggpl/QLw1Ct1XSjLr5oePLJtn17O3FivGbveO+BbvFPNvBYbUETvk6+jbNtve6+u3vPe9qJE9X37cB9tf8ngwt7EmRN+IXFLt1jj42XfqaGsQ1DnXrK+Oij7aPnOU7Hisua8AuLp3G7drWbvz/OZkNr9frxds1XxldeKd/AY7UlTviFxScxrtozPvhQra+36XS88MJ29GitrZnzrKzECf+Wvq8f39bOPrtNp1XVnniiHn+8quzYs7Jyg++6ms3qjDPqttvqtNPq9NPr/vvrootqHH3ilpWVe0m/sDhOd/Bg7dxZ55yz1auB/7H04Kv+esfuHVtWnhPh1VrNZpt/uwZWmwkPQVzCQhDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5C/ABbCFTItGbS6AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bdff6ebf33af2d361c014476c881160ba372161ff496f4ecd25617f70cfb89dd"}
+{"episode": 19860, "episode_seed": 1758945416, "split": "train", "timestamp": "2025-09-15T23:02:57.999658", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1758945416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.825327533987942, -0.012403219658946557, -25.347004483914034])</answer>", "action": "('move', [-8.825327533987942, -0.012403219658946557, -25.347004483914034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.825327533987942, -0.012403219658946557, -25.347004483914034])</answer>", "action": "('move', [-8.825327533987942, -0.012403219658946557, -25.347004483914034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3dS2hc1QPH8d+dmSSWJgRs4qNJbaw2pgx90VZ0UUQ3PlYiVJBIEYm1gm4MXbgRRCtoVQrWRaqudFlQoSq4FlrT+mga+6CkoVWwLfQRFZM0M3Nd3NO0C//2j52ZO3d+388qvYuZC9Nvzj333DmJ4jgWAA+5tE8AQP0QPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPP4vcZz2GaAaCmmfALIhjlUqSVI+rxzDRGZFMb+6cT1xrChK+yRQDYzwuL5SSc8+q5kZrVqlRx/V+vVpnxD+K4LH9f3+uz79VJL27FE+T/AZxmwM/yaZ8B06pCjSTTdJUn+/JJXLaZ4V/jOCby7lci1aHB1VHGt2Vu3t6uur+sujfrikbyJxrHw+/FClm2zJK42Ohp9XrNDtt0viRn1W8bk1iyTNb7/VwYOKomqtmye/Nw4dCv+85x7demtVXhjpIPimUKkoinTihDZv1iOP6KuvqtL8/KteuBCO9PerUFCpxCpdVnFJn31J2NPTevllTU6qpUUdHeH4jXWZvPDBg5qelqRcLtyx49GN7GKEz74oUi6n7du1d69aW/X++9q4sSrT+EpFcawfftDsrCT19mr5cokJfJbx0WVcpSJJH3+sHTskaXBQzzwTbtTfcPBRpCjS2Fj4Z29vGOG5ns8ugs+45PL61CldvqzVq/Xmm2ppCaXemEpFhYIuXdJvv4UjS5aovV1zc4zwGcYcPsviOMT36qtasUJ9fbrtNlUqVSkyeZnxcZ07F44Ui4pjJvDZRvCZde0svVDQU09JqlbtunLpcORICL6jQ2vWKIrCSj8yiouzbEpWzL7+Wnv2qFIJt9fmB/zqOXIklN/ZqbVrJSbwGUfwGZSEffiwBge1aZM+/1y5XHW/whrHKhR0+bJOngxHurvV2xt+zyC7CD5rkgH3jz+0ZYsuXtTSperulqo88iZhnz59NfiVKxXHBJ95BJ9BUaThYe3frwUL9Prr2rhR5XJ1Q5y/9z8xEd5ww4aw3o9M4wPMlOSh1l279NFHkrRliwYHa7dQdvKkZmaUz6tQ0IYNEhP47OMufXaUyyoUtG+ftm9XHOuhh7Rjh3K5qqy6Xyv50l0c6+hRSapU1NGhVaskgs8+RviMqFSUz+v0aQ0N6cwZLVmi3bvV0lKj7eaiSJcuaXxckuJYK1dqwYKqvwlSQPDZEceamdHNN0vSrl26664a1Z5M4M+fDxvdSLr33qq/CdLBJX0WJOtwlYr6+/XZZxod1cMPV/EZm3909qzOnVNrqy5fDsGzd20TYIRvePOdJYvtXV167LGa3jFPXvjw4fDmUnjkBk2A4BtbsvD96696/nkdPx4eqiuXa70+Vi7rwAFJmpvTsmVatKim74b6IfgGluT911966SXt3q3HH9fMjHK5OqyGz86G4CWtW6eFC2v9hqgTgm9gyQOuO3dq715JevppLVxY62+rJS8/NaVjx1QoSNLatWprk1iTawoE36iSdbhvvtHbb6tU0qZNeuUVSVVfdf9HY2NXH+dZvTqcDpoAwTek5A78xIS2btXUlIpF7dwZbtrVRbIv9dycOjvV01Of90Q9EHxDyuU0Pa3hYU1OauFCffCBFi+u+gPz/+K776QrG9GzL3UzIfjGkwzj776rL75QW5veeksPPFDrVfdrlUr68cfwc7Go7m5W4JsHD940qjvv1MCA1q3T0FBYh6t9c0nYJ05oaipsbD8woHxepVK4gYes42NsPEnYg4NhQaytrW5fQ09uFB44oNlZxbFaWnT33RIb0TcRgm9U5bIGBiTVYuOq/yUJ+/vvVSpJUm+vli2T2Ii+ifBJNoZkNxlJw8N64QX9+afyeZXLqWwx89NP4Ye+vhA8E/imwQjfGJKL6U8+0XvvSVKxqBdfrM+8fV7ymM/58zpzJhxZujRsRN/SUrezQG0xwjeAZMeJsTFt2yZJ99+vJ5+s/7w5ucIYG9P585IURSoW63wKqDmCT9v8ppRbt+rsWS1ZopER3XJL/ZfCkuDHx3XpkiR1dobgmcA3Ez7MBhBF2rZN+/aFTSlXrlSpVP/Okt88P/8c/jLdokVsa9WEmMOnKmlrZEQffihJQ0PavFlzc/Vf9Y5jtbZqdlaTk+FIV5d6eliBbzaM8Okpl5XP69gxvfaaKhU9+KDeeUdRpEKh/qNqMrxPTurUqXAkGd7RZAg+PclF+x136LnntGaNRkbU2prWU6zJBP7kSZ0+LUn5vNavl7iebzoEn57k4dWODr3xhr78UsuXh4NpSEb4iQlNTyuK1NYWgueOXZPh80xV0ny5rMWLU3x+NVmBj2MdPx7+2d4ebtEzwjcZgk9b8heYU/2jbck04uJFHT0aHvYpFtXWxiP0TYjgG0MDXDr/8ov27w+T+fvuS/tsUBvp/z9D6uZH8v5+9fQojvnLE00rirluwxUXLujYMY2P64kn1NXFvhdNiOABIzxFhasqlfA93TSe/UE9MMIDRrhpBxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5G+GXb7MU4Hm/AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.825327533987942, -0.012403219658946557, -25.347004483914034])</answer>", "action": "('move', [-8.825327533987942, -0.012403219658946557, -25.347004483914034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "045abf08c1c0f2315cd2be46b68cb0c1aa4410d5dea760b8fa825cc790805c2f"}
+{"episode": 19861, "episode_seed": 1037599962, "split": "train", "timestamp": "2025-09-15T23:02:58.639791", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1037599962, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3940088579334032, 3.952171040186921, -43.80072041235928])</answer>", "action": "('move', [0.3940088579334032, 3.952171040186921, -43.80072041235928])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK70lEQVR4nO3dX4gV5R/H8c/MHCtXs9RY/4RKIEiomFpS1sValmXkX7xI8EJIEkoqoguvoosIiiKCyooCBYuiTI1KzFwpLWVZDEEzs0KWNP+lq6nr7pl5upix9Gebv4ufe35nPu/X5V49cPZ9vs+ZeeacKIQgAB7iWi8AQM8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGKrVeAGqnWpWkJFEU1Xop6CFRCKHWawDQQ9jSuzp7Vs3NeucdHT0qSbzve2BL7ycERZF++kmzZunECV1/vaZNU5qqwj9D+THhXQ0YoGHDFMfasEFZpiRhyDsgeD/5JbrBg7VggbJMq1dr/36u25kgeEtpKklNTerTR3v3atu2Wi8IPYTgLcWxQtDo0brnHkWRli8vPtij7AjeUhQpTdW3r+66SyFowwb9/LPEtfryI3hX+ZCfOlU33KAzZ7RiRa0XhJ5A8K7iWGmqUaPU1KT+/ZUktV4QegIn7YxlmeJY+/bpmmt07bXFfp5P8qVG8JAkVauKIuZ86bGltxeCQlCloiRRR0etV4PLi+DtRZGiSC+9pMmTtXKlJHV11XpNuFwIHpKkdev07bdas0adnapUuD9XVgQPSdLChZK0dataWoq79CgjgreXD/OpUzV4sA4f1ldfcequxAjeXt52//6aP1+SVq/WkSNKEmVZbdeFy4HgoeJh+OnTFcdqbdWOHRI35MuJ4CHFsSSNG6c77lAI+uADpSnBlxLB49yzNNddp3vvVZZp7Vq1t0s8S1NCfKsRzjNtmnbt0p13qk8fiV19CXG0Ft3gWn0ZsaXHeUJQV1dxE57ay4jgcZ4oUq9eShLt2aP16yVxc65kCB7nyWf7yy9r3Dg98YROnSq+JwNlQfA4z1/35zo6tHevVq+Wzv0iFUqB4HGe/HP7lCkaP16dnfr8c2WZooghXxoEjwvlj8cvWCBJW7bo++9VqfBJvjQIHheJIs2dq4YG7dunjRslTuCUB8HjQvmufuhQzZwpSevX648/eEK+NAgeF8m/8erBByXps8+0davE/bmS4GgtLpKfsZswQaNG6fRpdXZK5y7go85xtBbdqFbV0qKrrtL48RInbUuC4HEppF4i7NPQvb8O1fMVd2VB8OhGCIpjtbdr5UrNnq22tlovCP8DBI9u5Gfs2tr0yCP65BO9+64kRn29I3h0I0mUphozpvgN+VWrip+jQj0jePyrEDRnjpJEO3dq8+biN2dRtwge3ct/W3LOHA0bplOntHy5QuAETl0jeFzKFVdo7lwliX77TceOqVcvmq9f3IfHv8pvwu/erU2bNG+eBg7ktnxdI3jACFt6/BeyTNUqD8yVABMeMMKEB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCNxWC0lQh1Hod6FlR4DX3FoKiqNaLQE9hwtsJQSHo99/1yis6cYLavRC8nShSFOm99/TYY5owQW++qa6uWq8JPYUtvZ0s0/HjGjNGBw5I0sCBam3ViBHKMsW8/5cdr7CXvOrnn9eBA6pUJGnpUo0YwSd5F0x4I1kmSb/8osmTdfiwQtDo0friCw0Zwnh3wYtsJE0Vx3rhBR05UszzxYs1ZIiqVWp3wYR3kaZKEm3bppkzdeiQQtDEidq0SX36KASCd8HrbCF/V+/q0uuv6+BBJYniWI8/rr59i7EPE0x4C/l4b27W7Nk6eVIh6NZbtWWLJK7VeeG9vfzyHXtHh159Ve3tiiKFoGeeIXVHBG8hivT111qzRpWK0lTTp+vuu4u/wwpb+vLLn5OZMkWbN6tSUbWqlhZNnCgRvB8mfMnlJ2o+/PDv2hct0vjxtV4WaoQJX3JZpo4OTZqknTtVqejqq7Vxo266qbiMBzdM+DLLT9S88YZ271Ycq1rVwoUaO5bafRF8aeWnZffv11tvKU0lafhwPfSQkoTvvfBF8KWVn6h5+23t2aNKRVmm+fN1442qVovHZmCIz/DllG/af/hBDzygvXsVRRo+XFu3qrGRg7TWeOXLKYpUrWrFCv34o5JEWaYlSzRoEE/FuWPCl1B+K27XLk2ZoqNHlWUaOVLffaeGhlqvDLXGu30J5YdnX3tNhw4pjouDtA0NXKsDE7508vG+Y4cmTVKaqlrV5Mlav74Y7xytM8eEL5v8Dfzpp3X2rKJIcaylS4uH3qkdBF8q+TW5L7/Up58qjtXVpRkz1NRE7SgQfKmEoLNn9dxz6upSFKlfPy1eXHzLBcFDBF8m1aqSRB9/rG++UZIoTXXffWpq4iAt/kbwJZEfpzl2TMuW6cwZhaABA7Rkia68UuJaHc4h+JLID9KuWlU8BptlmjFDt99ejH0gx225MsivyR08qPvvV2ur4lj9+qmlRSNHcrkOF2DCl0QI+ugjtbYW4/3hh6kd/4AJX/fyqg8d0s0369dfJamxUdu3a9Agasd/YsLXvbzqZcvU1lY8J/PUUxo8uNbLwv8lJnx9y8d7W5vGjtXJk8oyjR2rdes0ZIjExXlchAlf3/Lfh3z2WbW3F78n8+ijGjpUWUbt+AcEX8fyW27bt+v994uDtLfdplmzqB3dIvh6lW/ms0wvvqjjxxVF6t1bixapsZGfi0O3+L+oV/l4b27W2rWKY6WpbrlF8+bxlXX4NwRfl0JQpaJTp7RsWXGtrndvPfmkGhoURezn0S2u0texEHT6tEIoDtLz0DsuieABI2zpASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIn6YQ3QMnBfMCAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3940088579334032, 3.952171040186921, -43.80072041235928])</answer>", "action": "('move', [0.3940088579334032, 3.952171040186921, -43.80072041235928])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3940088579334032, 3.952171040186921, -43.80072041235928])</answer>", "action": "('move', [0.3940088579334032, 3.952171040186921, -43.80072041235928])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK20lEQVR4nO3d26tU5QOH8WfNzFZzR2VFmBXRTV1UqB3pAJ0tCq2UogwJCekIFd3kH9BFBJ2sLopOUhEaZQolYmVlpVQIQQfCohDCspOmZe6ZWb+LGW2s7MQvp1nf53O52QPvxX72u9b7vmtWUZYlkjLU+j0ASbuPwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4K0uj3ANQ/zSZAvU5R9Hso2k2Ksiz7PQZJu4mX9Kl+/plXXuGRR/jmGwD/72fwkj5PWVIUfPIJF13Epk0cdBDnnkurRcM/hupzhk+1774ccgi1GsuX025TrzvJJzD4PJ0luvHjmTWLdptFi/jiC9ftQhh8pFYL4PTTGR5m7VpWr+73gLSbGHykWo2y5MgjmTKFouDxx7s39qo6g49UFLRa7LknZ51FWbJ8OZ9+Cq7VV5/Bp+pM8mefzWGH8dNPzJ/f7wFpdzD4VLUarRZHHMHppzNuHPV6vwek3cGTdsHabWo1Pv+cvfdmn3261/PeyVeawQuAZpOicJ6vPC/p45UlZUmjQb3O1q39Ho3+XQYfrygoCu68k5NP5sknAUZG+j0m/VsMXgAsXcpbb/H882zbRqPh/lxVGbwAmD0bYNUq3n67u0uvKjL4eJ3J/OyzGT+eDRt47TVP3VWYwcfrtD1uHDNnAixaxNdfU6/Tbvd3XPo3GLzoPgx//vnUarz7Lu+9B27IV5PBC2o1gIkTOfVUypIFC2i1DL6SDF7bn6XZf3/OO492m8WL2bgRfJamgvxWI/U491w++IAzz2R4GLyqryCP1moXXKuvIi/p1aMsGRnpbsJbexUZvHoUBUND1Ot8/DHLlgFuzlWMwatHZ26/+24mTuTmm9mypfs9GaoKg1ePHftzW7eydi2LFsH2N1KpEgxePTr37WecweTJbNvGiy/SblMUTvKVYfDaWefx+FmzAN54gw8/pNHwTr4yDF6/URTMmMHYsXz+OS+/DJ7AqQ6D1846V/UTJnDhhQDLlrF5s0/IV4bB6zc633h1+eUAL7zAqlXg/lxFeLRWv9E5Y3fMMRxxBD/+yLZtsH0BXwPOo7XahWaTt99mzBgmTwZP2laEwevPmHqFeJ2mXdtxqN6vuKsKg9culCW1Ghs38uSTXHwx69b1e0D6PzB47ULnjN26dVx/PUuW8NRTgFP9oDN47UK9TqvFUUd13yH/7LPd11FpkBm8/lBZMn069Trvv8/Kld13zmpgGbx2rfNuyenTOeQQtmzh8ccpS0/gDDSD158ZNYoZM6jXWb+e775jaMjmB5f78PpDnU34jz5ixQouuYT99nNbfqAZvBTES3r9Be02zaYPzFWAM7wUxBleCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KvALyLVX2TwVVAUNJu+D0Z/zuAH3sgI339Po0GtxsiIs73+iMEPsGYTYNkyLruMefNYv56hoe5sb/b6Xb6IYoC129RqXHopCxcCHH88F17InDkccABsv7H3NXDqZfCDqtmk0WD5cqZOZetWhoYYGQE4/HBmzOCmm7rZA+02RWH5AoMfXJ2XuK5fzz338PDDbNgAUK/TagHstx9z5nDNNRx6aPf3m03qdbNPZ/BVsGED997LggV8/DFAo9G9vR8e5rrruOIKJk4EaLdpt2k0+jlU9ZfBD7wd72vfsIEHH2TJElavBhg1qrtXN3Yss2dzySWcdhpAs0lRUK/3c8zqF4OvgrKk1epO3V9+yXPP8cQTvPEG8Mu9/V57MW0al13GBReAN/apDL46ypJmk6EhgC+/5NVXuesuVq2Cnnv7vfbilFO49lqmTv3lU7iYH8Pgq6b3Rv2HH1i5kttuY/Xq7l19xx57MHkyc+cyZQqjRgG0WhQFNY9lVJ3BV1PnmO2OgJcu5c47Wb2aTZu6P+/8wnHHceutnHYa++8PMDJCvW72VWbwVfary/WlS3n0UZYv59tvoWcx/4QTuPpqzjuPCRMARkZoNLzIryaDj9B7nf/yyyxYwNNPs3EjRUGj0V3VO/FEpk9n1iwOPLD7Eaf66jH4IK0WZdnN/p13WLiQBx5g8+adsj/6aKZN44YbGD+++ylX9arE4LN0NvB2HLlbu5b585k3j++/h57F/AkTmDmTG2/k4IO7H2y1qNXMfuAZfKKypN3+5ezNV19x33089hjr1sHOe3izZ3PNNRx+ePfy3vO5g87go+04pQd89x3z5rFoEWvWADQa3VuA0aOZM4eZMznpJNj+TK7ncweUwQt6lui++YYnnmDhwl8O6nWerh8zhpkzmTGD888H9+0HlsGr61cH9ZYt46GHeP116Jnth4c55xyuvJKLLurrWPVPGbx20m7TanWz//Zb3nyTO+7gtdcAiqK7Yj88zLHHcsstTJvWz6HqHzB4/Y52m7LsruqNjLBiBbffzqpVbNkC28uv15k0iblzueACRo92JW8wGLx26Vc78C+9xH33sXIlX38NPQf11qxh0iQP6gwGg9efK0vKstvzihXMn8+SJd3sr7qK++9n1Chn+MFg8Pqres/nvvkmzzzD4sU88ABTpnQP8+i/z+D193TO5HTy/uwzxo9nzJid9vP1X2bw+tt+dVBPA8Tg9Q/13thrUBi8FMT/z1IQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwU5H/QA+wLd3pqpAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIfElEQVR4nO3d36tmVR3H8e/a+5zK0UbFiyDwV+YPxNRAUMRmnGamwLAcYlK7cDIj8Nr/w/soEZPGssJowPyRmT9JKQvUQR1L8EaMcRpyphn0PHt18ZwIhxGJag7n+bxel8/Vgue8z1rPXmvv3XrvBWQY1noAwIkjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgi+Fy9V+9rPQhOLMEnmnfeWrW21kPhxBJ8onnnb7xRzz1Xhw+v9Wg4gQSfZT63v/xy3XFHXXFFbdtWr71aVTWbre24OEEEn2Ue/Isv1p131sGDdehQf+LJqrK2TyH4LMNQVbVzZ332vKmqqtrP7u8HD/ZhcAEvguATjWPd/M02TbW8XL97rvbuXesBcaIIPs58N+4bN9Y4znrVbGo/vq/Kqj6D4BO1Vuee0778pXG2Uq3Vfbunvx1Y6zFxQgg+TmvVe518cu3c2XufxrH2Hxh/9ZBzOBEEn2iaqqquvrrOOqvNZtVaff97M0v6BIJPNI41TfWZ89p117X5rP7HPw3zS3fz/wUsKsGHmqZaWqrtW6ePf6z3Xn9/t917b7Um+AUn+FDzjffNW4bLP9+qqvd6+OE6cqRsyC82wYcahlpZqTPOqM2bVzfk9u2rBx+s1mplZa0Hx/+N4HONY1XVTTfV6adXVR06VA8/Uq2tnsZjIflucw1DzWZ1+eV16aWri/gnHu+v76txdC/NwhJ8tPkt8Tff3KpqHGvf6/2JJ3uVn/ELS/DR5qv3G2+sM06fpql6H/bsqcOHa2lJ84tJ8NSpp9aOHVWthqEefaS/+opJfmEJPt087F23Dn2axrH+cWR45NHWu0t3i8m3SlXVZZfVZZ+rlZWqVnf/YHbkiEl+MQk+3eq9NKfUt7499F5LS/Xan4dnn21qX0iCp6aphlZbrp1O2TDNZlXV7rprci/NQhI8q8dpz79guP5rQ5+qtXroobZ/v0diLCDBs3qcdsOG2r69D0O1Vu++2+69t3p3AmfRCJ6qf23Ib9nSLrywpqlms3rgAW+qWECCp6pqHOv99+ucc2rTptVP9u6tZ55ZvceGhSF4Vs0n8xtuqI0bq6reeWf6+U+nsjm3WATPqnGs3mvr1rrg/HniwxNPDW+/XcvLfskvDsGzqrWazWp5ub5y3TQMNQz10kv9t49P5blXC0Tw/NvSUlXVrbeNGz4xVa/33mu/fqy9916NY1nXLwbB8wG919ln16ZNfepVVb/8RX/jL30YqlvVLwTBc6ze6zvfHav68nL9df/w1NOt92r+UhaCr5FjtVZbv9g//alpZVbV6of39KNHV4/cs94Jng+Yb859cmPbddvYp1paqqeenl55ResLQvAca5qqtfrq9bW8XH2q1sbdu1t52+RCEDzHmod90UV1zTU1m1XvtXt3HT261sPif0HwHGt+L81pp9WOHVVV41hvvVV79lTZkF//BM9xzCf5zZvrzDNrmqr3uufuWTlmu/4JnuOYv23ykktq8xd6772qfv/CuG/f6uesX4Ln+GazGobatq2fdFJVq/37+30/mlXVzM1z65ngOb75o+l3fH0499xWvWaz9pvHh0OHavTI+vVM8BxfazVbqY0b69rNs2q9qv7wQj3z9DR/QRXrlOD5UMNYvdctu8aTT6pxrCNH6rHHWu825NcxwfOh5s+9uvLKuvji3nvNZu0n97c333Tpbh0TPB+h97pl1zBNtX173X57bdhQJvn1q3VXYPgoBw7U88/XVVfVaaet9VD47wie/8D779fSkul9HRM8H23+gPr5c69Y1wQPQfzHhiCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/BEibvzBvYbx/AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "46753df9e602b6451d4b18a540f000cccf1136973d7d4f901945714a199fcf56"}
+{"episode": 19862, "episode_seed": 3291564324, "split": "train", "timestamp": "2025-09-15T23:02:59.275721", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3291564324, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.98320143333314, -4.323999592705101, 47.98275611601188])</answer>", "action": "('move', [-5.98320143333314, -4.323999592705101, 47.98275611601188])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.98320143333314, -4.323999592705101, 47.98275611601188])</answer>", "action": "('move', [-5.98320143333314, -4.323999592705101, 47.98275611601188])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFUlEQVR4nO3dW4hVZQPG8WfvvfZ0kY2VhZTRwcLwkEV4qC7KmIsOhjRJhZYwahFEIJphF4ZeCFEKGiimVHZyLMTmzhkStSulELSxkqBmJDJEhya9KGefVhdrOY4ffd83h71nr9Xz/13K3rAQ/77vevf7rpUJw1AAPGTrfQEARg/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8P8pDFWp1PsigNog+MuEoTIZZbMql8ke/0IEf5lMRidO6LvvlMspm1WxqDCs9zUB1UPwsWg87+nRvHlqatKmTTp5Uvm8MhmVSvW+OKBKCD6WySgM1dqqn37S2bNavlzNzVq/XufOKQgUhgz1+DfIhPxDvnjr3tenJ59UR4cyGQWBikVJuvtutbTolVcUBPEnJWUy9bxaYNgIPhb9NfT06LPP9NZbOnVKknI5lcvKZDR1qlat0jPPqKFBksplZbNkj/Qh+H/Q26uNG/XRR/rlF+li9pJmztTq1ZozR42NklQqKZcje6QJwV8mmttHfv1V77yjPXvU3S1J+Xw8yX/kEb38sh59VA0N8X8EuVydLhcYIoL/Z+VynHFnpz79VDt2qKfnsnv75ma1tGjevPjDzPCRCgT/X1UqKpeVz0vSsWP6+GNt3qxiMW67XNaVV6qpScuXa86c+CsDJwhAAhH8/zFw0v7993r7bbW2qlSKf8aTNHasmpq0Zo2mT7/0FSb5SCaCH5SBDR89qrVr9dVXOn/+Uva5nFpatGKFpkyJPy/u7ZE8BD8EA2fs+/dr0ybt36+//lIQqFJRpaKGBi1bpoULdc89klQoKAiUZXMTEoPghyw6TheN3m1t+uQTtbVJUj4f3/Zfd52WLtXzz2vaNIkZPpKE4Iepf9JeKGjvXm3bpo4OSQqCeO/97bfrqae0bJkmTIi/wpIe6o7ghy8MVSrFy/jnz+vgQa1bpyNHpAHZ33KLFi3Sq6/q6qvjr4Qhk3zUDcGP1MAZ/oUL2rNHb76pH35QGF7aonfTTVq5UosW6dprJalUUjZL9qgDgq+OgYdqikVt3ar33tPx49KALXqTJmnVKj32mG64If5YEDDJx6gi+Crrv1Hv7dX27WptVWenJDU0qFCQpNmz9eKLevppNTbGh/AZ6jFqCL4mSqX4OG1Xl/bs0ebN8Tmc/uwffFAtLVq8WOLILUYRwdfKwJ25XV3atUsbNuiPP6SLx++CQLNmaeVKNTdf+gqjPWqK4Gtr4KT91Clt2KAPP4yzz2bjvTr336+1a/XAA/Fhe6B2CH40DBy6u7u1bp327tXp09LF7CU1N+u113TvvbriCn6xR60Q/KjqL/nIEW3dqrY29fYql4s38EycqCNHNHasMhmCR01wyziqosM2pZJmzND77+uLL/TCCwpDFQrK57Vkia65RpUKtaNWGOHro1xWGMbPwz10SBs36uhRHTumMWMkVuxRMwRfT/2/3vX16fff4w05QO0QfJ0N3F3PWh1qjeATgb03GB1BvS8AEqljtLBKDxhJc/CVCi98A4YkzcFns7zkERiS1AZfqejUKd7/AAxJCoOPtp4fP67587VihU6eZJwHBimFwUdPjdq5U19/rS1b1NBw6enwAP6ntAVfqSgIdPas9u1TLqfFi3XjjZwjBwYpbZ1Er2tvb1dnp8JQixezPQ0YvFRtvIkeBNvXp/Z2haHuu0+zZ9f7moA0SdUIH03dv/1WBw4oDPXSS/W+ICBl0hN8/9R9/36dOaMJE9TUFP85gMFJT/CSsln19MRvcnv22fg0KTfwwKCl6rRc9JKXkye1ZYsWLNDMmazPA0OSquCj17UFqVpoBJIkVcH346c4YFhSMlpGhe/apTDUE0+osZHmgWFIwwgfXWGhoDvu0JkzeuMNrV6tYjF+qwuAQUvDilf03Oa2Nv32m4JA06dLvIERGI40ZBMtzu/cqTDUXXdp3rxLj30EMBSJz6ZcVi6no0f1zTcKQy1cKIl3NQDDk/jg++fzZ85o3Dg995wk5XL1viwglZIdfHQY9vRpHTigTEbz52vcuHpfE5BiiQ8+k9GBAzp8WGEYv4ct+T8rAEmV7N/ho5W5MWN0222aNElTpvBwG2AkEv87fLRbvlTS2bMaP57FeWAkEh+8pFJJuRzL8sDIJXvArFTU26sgYCYPVEVSg4/y/vJLzZih119Xb68ymfgB1QCGK6nBR959V11dOnRIQcAID4xcIoOP2u7q0r59yuc1d66uukrFIit2wAglMqHoWdTbt+vPPzV+vBYsUBjy3Atg5JIXfHQw5tw5tbdL0kMP6eabVS4zvAMjl7yKSiVls2pv14kTamjQkiU8uA6oloSFFA3vxaI+/1yViqZN08MPK5sleKAqEhZSpaJcTj//rO5ulctaupRf4IEqSuROu0JBhw9r926tWaPrr+fxdUC1JC948gZqJmFTel18k0wYqlhkMg9UV8KC7+vTtm06eFDFYryFHkD1JGZKH11Gd7emTtWFC9qxQy0tKpXYbwNUUWJyigbz3bt14YImTtSsWRLPogaqLElFFQrasUOSmpo0eTK764CqS0ZR0bnXjg79+KPGjNHcuRyGBWohGcFHN/AffCBJkyfr8cdVLnP3DlRdMqKKpu7r1+vOO3XrrcrnVSqxRA9UXWJW6QHUXjJG+Ej/M+dZqwNqgxEeMMJYChgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkb8BAlUSou+gemYAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.98320143333314, -4.323999592705101, 47.98275611601188])</answer>", "action": "('move', [-5.98320143333314, -4.323999592705101, 47.98275611601188])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIl0lEQVR4nO3dzatd1R3H4d86516t8S1FiA4UtSlU0YAJ7aBBiyk1UcRizMASK9hBraXQuf+Bf0EbKOmbpW/WUlNjo5FUQRDTKtbgJBWjhdiBLxBBE809e3VwQp2Jyb16z/H7PKNwRusOPll7r732Xq33XkCG0WoPAPjsCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CzH3wva/2CGB+zHHw09RbW+1xwPyYv+Cnnb/7bt1ySz3wQL32Wn3wwUe/Ax9j/oKfTKqqfvfbYf/+uv/+uuaa2r//o9+BjzFnwfderdXSUj3ylxqGPhrVunW1fn2Va3v4BOYs+MmkxuN67rn+j3+Oqtow9Os3T66++tTvwMdbWO0BnIk9e+qtt3trbc2a9p2do97dwMMnMk8z/DDUeFz/eb327avWWlWt/9Jw662t91qYy/+44LM2T8FPb+Cfeaa/9FIfjar3uuceN+5wGuYm+N5rPK4Tx+vhh1vVqPe64Lxh512tqkZz80fAKpuzVg4f7vv29YWFGobavr0uvni1BwRzZW6Cnz51e/jP7f3j0/v34fv3Wq6D0zM3wVfVe+/V7t2nnsNv/nrbsMGzdzg98xH8dCbfu7eOHq3xuHqv797dLrjw1DIe8AnNR/BV1Vrt2tWrajKpSy6pLVuqqoZhlUcF82UOgh+Gaq0OHaqDB1tr1Xvdfntfv76Gwfo8nJ45KGb6VszPdk2OH+9Vde65tXVrLS7WZOJ6Hk7PrO9QG4ZaWKg336wDT42GoVXVxo21bZvddXAmZn2Gn17P73mkHz5cVTUe9203TdasqaUl0zuctlkPvrU6caL2PtZOLlVVXbyu7rp7PN11B5yumQ5+aanG43rh+f7000MbtaravLlfeaXlOjhDs9vN/6fx/U/WO++01mo0qvt+OJpe5ANnYKaDb63eeKM/9FC11vpQV39lsmVLjUamdzhDM51O73XwYHv55VpcrN7rB/eNpQ7LMbsBjUY1DLV7d1W1yaTOP3+4444qX6eFZZjR4KdV//uVevzxGo9rMqmdO0frLlntYcGcm9Hgp379y37y5Kl/79hRiwt218GyzGjwrdWJD+rB3/TWajKp66+vTZuqfNwGlmcWA5q+A/enP/Y3/jsajaqqb799uOgiu+tguWZxP3rvNQz14K+GYTJqrV1+edu2rcpRE7BsMzfDT4+UeOH5ev5f42qt937jN4Zrrm2DoyZg2WYu+On6/B9+399+q1fVeefVbd9uvdfEty5g2Wbrkn561MTRo3XgqVZV1evL6+vW29ow1OLiag8O5t9szfDTp25/PzB58cVhuiC/Y0f/wtmrPSz4vJihGb73WlysDz+sR/eOp2/IfHFtv+d7o949jYOVMUMlTe/eDx2qfftOFf6tbw6XXlplfR5WyAwFP/1A5RNP1LFjp75F/aMfj+2chxXU+mwkNX0Z9tix2rSpjhypqtqwoZ59ttasWe2RwefIDM3wvddTT9err9bCQvVe995b55yz2mOCz5dZCb61aq12/XSoqsmk1l7Yb7qpt+aoCVhJs7JK33u98kodeHL6Gny/8852xRVOkoIVNhMz/PStmF0/GU4ujarq7LP7zTf3s84qn6+DlbX6M/z0Y5XHjtVjf6te1Yf62ldHN26p8jQOVtrqz/DT3XWP/rW//vpoevD71q3D2rW1dNJ+G1hhqz/DT897//kv2vETNRrVZZeNtt9RvVdTO6y0Va5q+rbM++/Xpk111VU1DHXddXXttadekgVW1qxsvKmqI0dqz57auLFuuKHsn4dPw6wEv7TkNFj41M1K8FU1DKeu5M3t8CmZoeCBT5vJFIIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8D4RAw4bBrUqiAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3a5c5add88452e0e0326564394e6cf887fdee95d592a5530c4a63ee3b8afb343"}
+{"episode": 19863, "episode_seed": 3608373658, "split": "train", "timestamp": "2025-09-15T23:02:59.923403", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3608373658, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.075098588010608, 19.489368666308355, 18.748824779052256])</answer>", "action": "('move', [9.075098588010608, 19.489368666308355, 18.748824779052256])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+UlEQVR4nO3dT4hVZQPH8d+591xn7iSk6WimRY0ZVGhERBSRDISLpMiaJiJdaFq2KDDQxKBaFJbUwkWBA0UhRdJME1ktgqydCBoSWakYpI4GlmhTOjP3z3kX5+i8vPFG3jt2zrm/72fp6mHmfn2ec57nPhNEUSQAHgppDwDAv4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB5ZFUWq1VSvpz2OlhJEUZT2GAD8S8K0BwD8RRQpCHT8uHbuVFubFi1SqZT2mFoES3pkT7yM7+/Xo4/qpZd05owksRSdCASP7ImDnzpVIyP64QeNjKQ9oNZB8MieIJCkWbNULuv0af32W9oDah0Ej+wpFCRpxgzNnq0g0MGD0rn/BdAcgkdWXX65OjsVRfr227SH0jp4S4/sCQJFkaZP1x13qL1dN96Y9oBaB/vwyLD4w8lifuKwpEeGBYFqNVUq7MlNFGZ4wAgzPDIpnodOnNCLL6qnRzt3jv8jmkDwyKS47Xpd77yjgQGCnygEj0yKn95nztRVVykM9dNPEsFPAIJHJgVBcsD2iitUrerHHyWCnwAEj2y77jpJOnpU1WpyAg9N4CeIrIrznjtXkoaHNTSkQoH7MJpE8Miq+LzNvHkqlzU8zGP8hCB4ZNX54MNQw8P67juJ4JvFWXpkVXyivrNT8+fr1CkuvZkQnLRDhsV3Xf38s6ZN0+TJaY+mFRA8cqJWU7GY9iByj+CRefE8j4nAMzwy78wZff65jh7Vvffq2mtVr7Mh3zCCR4bFc/upU+rtlaTZswm+SfzgkGHxSv6yyzR7tiQNDUnszDWF4JF5Yajrr5fOBV8o0HzDCB6ZF4aaN0+ShoY0Osq7+mYQPDIvCMa/QnPypMSqvnEEj2yL246DP3IkCR6NInhkWxx8fA3G0JBOnBj/R1w4gkcedHRo6lQVixodTXso+cZJO+TByIh271a9rgULNGUKZ+8aRvCAEZb0gBGO1iLz4gX8H39o/34ND+u221Qupz2mvGKGR+bF99h9843uukvd3Tp8WOJFfYMIHjlRLuvSSxWGOn487aHkGMEj8+IX8jNnas6c8TvqeUvfEIJH5sVtd3Zq1ixJOnAg3eHkGsEjD2o1lcvJl2QPHOABvmEEj8yL/86clAT//ff8OYqGETzyIL7i5sorVSxqaEinT0u8qG8EwSMP4sf4OXPU3q6xMe3bl/aA8oqjtciD+OzNL79o+3ZNn67ubk2ZkvaYcongASMs6ZE3TFFNIHjkDUdumkDwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXgXUZT2CJABBN/64tSDIO1xIAMIvsVFkYJA1ap27Eh7KMgAgm9l9bqCQGNjeu453X23nn9ekmo1lve+gohffouq1VQs6vRpPfOM3n5bhYKCQJs2ac0a1esqFtMeH9IQpj0AXBRx7SdO6PHH9fHHCs/9nqNIUaRCIVnqww0zfAuKYx4a0tKl+vprlUqqVDRpkt58U489xjs8a8zwraZeV6GgQ4fU06O9ezVpksbGdMkl2rpVS5ZQuzuCbx1RlDyc792rnh4dOpTU3tmpbdvU3Z28w6N2Z7ylbxFRlDy3f/WVFi8er72rS599pu7u5NGd2s0RfCuIaw9DffSRent17JhKJY2N6aabtH27br01mdsBgs+9+LE8DNXXp+XL9euvCkNVKlq4UIODuuEG1Woq8HuGJILPu/iFfBBo40Y9/bR+/13FoqpV3X+/BgZ0zTXJOh+IEXyOxQv1Wk1r12rDBo2OqlhUraaVK/X++5o2jQM2+F8En1fxQv3PP7VqlV57TUGgMFQUad06bdmicjnZnwP+G9tyuRRP3SdPauVKDQ6OT+MbN2rdumR/jtrxV5y0y5/4uf34cS1dqh07FIbJK/o33tCqVWy24+8ww+dMXPuhQ3r4Ye3Zkxyb7ejQu++qpydZ51M7/h+WfbkRb7YHgfbu1eLF2rNHbW2qVDR9ugYHqR3/CMHnQxSpWk0O0t13n/bvV3u7RkfV1aVPPtGiRcn2G7Xj7xF8PlSrKpXU36/eXh05orY2jYzo5ps1OKjbb2ezHf8UwedAraZSSX19WrEiOUg3OqrubvX3a8ECascFIPhMi7dQikW98oqeekrDw8lBugce0AcfqKuL2nFh2JbLrvN76evXa9MmSUntK1dq82Z1dLDZjgvG5yWj4lfuIyN64gm9+qoKhaT2tWu1ZYs6OvhKDBrBPnwWxQfpTp3S6tXati05MxtFevllbdggSVHESh6NIPjMiRfqx45p+XJ98YXCMHlFv3mznnySO6rQFILPlrj2gwe1bJl27UoO0k2erL4+PfKIqtXx+2eBBvAUmCHxY/nu3VqyRLt2qb1dlYpmzNC2bUntLOPRJILPhChSpaJiUV9+qQcf1L59Kpc1MqK5czUwoHvuSWpnJY8mEXz64mOzpZIGBtTbq8OH1dams2d1yy0aHNSddyZfhqN2NI/g01evq1TSW29p2TKdPJkcpFu4UP39mj+fW2swkQg+TecP0r3+ulav1tmz4zfSffihrr6aozWYYHyaUnP+iOP69Vq7Ntlar9W0YoW2blVnJ0drMPH4QKUmvn9SUqWSXEpVq2nNGvX1afJkDsnjouAsfZrOn6JZtUrvvadnn9ULL0hiJY+LheBTFl9ZdfasPv1UDz3EX3HGxUXwGcLEjouNz1cmxFvx1I6LjRkeMMKcAhgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8h8/ss5XTvPMXQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.075098588010608, 19.489368666308355, 18.748824779052256])</answer>", "action": "('move', [9.075098588010608, 19.489368666308355, 18.748824779052256])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.075098588010608, 19.489368666308355, 18.748824779052256])</answer>", "action": "('move', [9.075098588010608, 19.489368666308355, 18.748824779052256])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "066f8af76fc0204e564373e58b827c7c850f069353288de183769a867af86b51"}
+{"episode": 19864, "episode_seed": 2763057363, "split": "train", "timestamp": "2025-09-15T23:03:00.918201", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2763057363, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-273.9172294635076, -22.862459779107112, 37.10666166716894])</answer>", "action": "('move', [-273.9172294635076, -22.862459779107112, 37.10666166716894])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-273.9172294635076, -22.862459779107112, 37.10666166716894])</answer>", "action": "('move', [-273.9172294635076, -22.862459779107112, 37.10666166716894])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-273.9172294635076, -22.862459779107112, 37.10666166716894])</answer>", "action": "('move', [-273.9172294635076, -22.862459779107112, 37.10666166716894])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxklEQVR4nO3dS6ycZR3H8f87M6enRkkJmpASIo2YcFNRYhSDKYqBpLARsBRSLIktMSCQaijdABtgQ04CaAk1hXrQGrEo0qis1LBiRUzKxpoIYYE2hCho09A5c3ldzGlBTJBL8Vx+n89qlrP5znN5n/eZpm3bAjJ0FvoLAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocgCx9829ZoVG270N8DAjTtgqbWttU085/H4+os/O8PLGcLWdik9tdeq5mZeuml6nRqPF7ArwPL34IFP5lYDIe1bVtt21YbNoxfeKE6HXN7+AAtWPBNU01Td99dDz9cK1fWM880l106fu65ahrNwwdlgUf4iy6qU0+tI0dqero58OfOpevGTz9dTVPjsezh+FvIEX48rrVr6ze/bs85e9zv1/R0/fVvncsvr717q9OxdQ/H30Ju2k126c79bLNvX3Phhe2k+ddeq+s2tTt2VK+neTjOFvg52GQkP/2TzWOPNd/4RvX7ba9XR/rNLbfUnXdWr7ew3w6WmwV+Dj8xGlW3W4cO1W3baucPx03TmUz4b7ihdjxYncYjejg+FkVG3W6Nx3XCCfWDHXXHHZ22rbatXq8eeqi95qrR4cPzEwHgfVoUI/zEsWH8gQfqtttqbq6mpmowaC+5eDz7aHf16hoOTfLhfVlEwdfRZ3VNU3v21HdubP91qJk0/8UvtLtnO2efpXl4XxZX8BOTJf1Tvx1vub4OHuxMTdVgUGedWbsebi+4oLGeh/dsMabT7dZwWJde1nnil80ZZ7SDQU1N1Z8O1Pr1zb4nW0fu4T1bjMFXVa9Xg0Gd/6XmySeb88+vwaCmp+vgwdp4bT2yazxpfvFNTWCxW6TBV9XUVA2HdeaZ9cQTtW5d2++309N1+HBz/bc79947P6s31MO7sniDr5o/bLd6de3d21y7se332xUrqm1r+/bavr2GQ2/UwruzGDft3mLy2vxoVLfe2t5/f3NsbN/8rfb+7zcf+bBjOfBOLYFQJi/Mdjp1333NXXfVeFzjcU1N1SO765sb21deMc7DO7UERviJtq3xuLrd2rmztm5t+/1m5co6cqRdu7bZvbtOP33+YR7wNpZM8DVpflTdXj3+8/aGG+vv/2hWfqiOvF6fOqd9dLY57/OO5cD/sJSCr6rJMftOp/7w+3bzlubFF2t6uvr9OvWUdna2/drFHc3D21hiwU9Mdun276/rNrX7n6upqWYwqFUnjHftqvUbOqNRdTpvXIYLHLMENu3+2/zNGefWvn3NV7/SDgZtr1f/PNTZtKl27pxfyS/B3zH4wC3J4OvozRmnranHH+9c8fXxcDju9Wpu1Ln55rrnnvkbMm3dw1ss1eCrqtut0ag++rH66c+6mzc3w2FVW1V1++3t1q01N+ctenirJbmGf7Njp262b6+ZmflHd6NRu3Fj8+CDtWqVx3XwhiUf/JvNzNSdd9TrR6rXq+GwLrm43bWrPn5aY+seJpZJ8MeO5Tw62373e82rr05uy6nzPjeenW0+/ZlmNKyu5om3TIKvo/9C2+vVU0/Vli3twYM1Pd30+/WJNeMf/6S54MvNeFQdc3uyLZ/g603NP/tsXXP1+C/Pd1ZM11y/TjpxtGdPs+6yJbxDCcfFsgp+YrKN9/zzddWVoz/u76xY0czN1XRv9MiPOldc2axc6UwOuZZh8HX0jdqXX26vvXr0u6e7k6N409N14ECtWfMff0oPUZbnLHfyRu3JJze/+FV3w/p2MKiqmplRO+mW7c715M6MVSc2u2ebE0+qU06pm25SO+mW55T+mMl6fnLvrYtxYJkHX/XGqG54h2U7pT9msp6ffIBwyz/4kjocZVELQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4NRz4kKnidCrsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bcc4519eadca44e82e736bfe030e514b4c604b5e235b029c740f38b4b3e36409"}
+{"episode": 19865, "episode_seed": 2590493007, "split": "train", "timestamp": "2025-09-15T23:03:01.562697", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2590493007, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.160551228993209, -2.4887497961416756, 48.3569959514283])</answer>", "action": "('move', [1.160551228993209, -2.4887497961416756, 48.3569959514283])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.160551228993209, -2.4887497961416756, 48.3569959514283])</answer>", "action": "('move', [1.160551228993209, -2.4887497961416756, 48.3569959514283])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.160551228993209, -2.4887497961416756, 48.3569959514283])</answer>", "action": "('move', [1.160551228993209, -2.4887497961416756, 48.3569959514283])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3cb7dec5a1dce91a0aebf128d221e9e45ac2c85e5a23605f2ac913182cd71784"}
+{"episode": 19866, "episode_seed": 2844479314, "split": "train", "timestamp": "2025-09-15T23:03:02.207871", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2844479314, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9572895876246199, 8.814034714539941, 30.351872294196387])</answer>", "action": "('move', [0.9572895876246199, 8.814034714539941, 30.351872294196387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9572895876246199, 8.814034714539941, 30.351872294196387])</answer>", "action": "('move', [0.9572895876246199, 8.814034714539941, 30.351872294196387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9572895876246199, 8.814034714539941, 30.351872294196387])</answer>", "action": "('move', [0.9572895876246199, 8.814034714539941, 30.351872294196387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "800a2baf5c686da81ba421846517649f3c9c8aeb3c24ebdb7c7619f25cc1aa01"}
+{"episode": 19867, "episode_seed": 836454199, "split": "train", "timestamp": "2025-09-15T23:03:03.200520", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 836454199, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [26.409736014472823, 58.98163013969017, -33.403187559690046])</answer>", "action": "('move', [26.409736014472823, 58.98163013969017, -33.403187559690046])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ5ElEQVR4nO3cf6jddeHH8de5987rCPohFRT0RxIRZKl/WESCRRhFYT+cKIQVY4smFYaCGGX1T2XEoiiCfhMltMr9IbgJsj8E6Z/UEQlCrZpN649+qHMk85zz+f5xDtvadzq3eXfv9fV4/LWde9j5wHje94/P+3NGwzAE6LCw2hcAnD2ChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKCh9U2nWYYzs5HCR5Wz3Sap5/OwkJGo4zHZ+EDBQ+r4UjqGzZk//589au5554kmUxW9GMFD2fddDpP/S9/yde+lquuyuc+l4cemv9oJS2t6L8OHG8YsrCQRx7Jd76TO+7Igw/OX3/Na5JkNFrRDxc8rLBhmEc++/NolNtuy0035cCBJFlezrXXZsuWXHhhhiFLK5uk4GHFDEMmkywtzcft2W784mJe8YocOJCXvSwf/nBuuCFveMNKD+xHjIazdT8AuozHGY2yuJgk992X3/wm11yTN785SQ4dyo4dueiiXHzx/M2zkX/lCR6eb0dG8iR79uRXv8qOHfn3v3P11fnJT3LuuUfbPludH2FKD8+rI8v13bvzs59l16489liSnH9+Lr10nvcwZDrNaDR/51lkhIczduy2XJK778727bn33jzxRJK89rW5/vq8//05//xVvMYZIzycgek00+nRbbmZ3/0uu3Ylyetfn099Ktdem5e+NFmFCfz/Z4SH0zIMGY+zYUOS/POfeeihvOlNeclLkuRPf8qWLfnQh/LJT2Z5ef7+2WGb1SZ4OHXj8fyG+b/+lTvvzE9/mj178qMfZfPm46f3a2BUP5YpPZy6paUcPJgf/zi33z4/A5/k4YeTZDTKaHR0o34t1R7Bw8nNZsFH0n388Xzve/nlL7N37/yVK67IJz6Rt7716Hi+Gjvwz4UpPTyryWR+R31mGHLlldm5M0mWl3P55bnxxrzlLdm4cbUu8JSsxV9CsCZMJkdr/89/5i+ORtm0Keedlw9+MHv25I47ctll2bjxbH6JxZkwwsOJHEn997/PbbflgQfy3e/mda/LMOSpp7J3b972tvk7j5vwr22Ch/91ZB1+3335xS9y++3Zvz9Jvvzl3HLL0f35yWT+TTXrik07OMas9qeeyq235oc/nD/Bet552bYtmzbNN95nB2OPXdivH4KHY4xGmUxyzjk5fDgHDuRVr8rmzdm8+fhTseuz9ggejje7o/axj+XlL8/VV+fVr56/vjaOyp0ha3g4mTV2Wu5MrPvfWLAiZgv1mRdK7THCQxUjPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPM9mGFb7CnheCZ5nNJlkNFrti+B5JXhObDzO4mKGIeOxcf6FQ/Acb5b30lLuvz8f/3j27s1opPkXiKXVvgDWnNEok0m+//3cemv278++fdm9Oy96UYbBDH/dM8JzAsOQO+/M/v0599zce29uuUXqLxCjwVyN/zWdZmEhDz6Yd787jz6axcVMp9mxI5s2ZTLJ4uJqXx9nwAjP8RYWMp3mjW/MN7+ZjRvnhV9/ffbty+JiJpPVvj7OgOA5gdky/qqrsnVrDh/O4mIeeSTXXZfHH88wZDpd7evjdAmeExiNMhplOs3nP59LLsl4nA0bcvfd+fa3s7SUOJCzblnD84xmi/m9e/POd+aJJ7KwkOXl7NyZyy+f/4h1x38az2i2mL/oonz96/Np/KFD2bYtBw5kYcEgvy4JnmczC3vr1nz0o/OJ/b59+exnM51aya9Lguc5+cY3csEFefrpLC7m17/Ot741v13H+mINz8nNVuz33JMrr8xjjyXJ8nLuuitvf7s78+uMEZ6TG40yHufSS3PDDfNnaQ4dymc+k7//fb7OZ70QPCc3Gs0X8zfemA98IJNJlpdz//350pfmR25NE9cLU3qeq9nE/m9/yzvekT//eX7q7gc/yJYtGY/n9+dZ4wTPKZg1v2tXrrhi/tdXvjK7d+fCCz1Ltz6Y0nMKZhP79743N92U8TgLC/nHP7JtW/7738TEfj0QPKdmduT2C1/Ie96T8TjnnJPf/jY33+xLMtYHU3pO2Wxi/4c/5H3vy8MPZ2kpw5Cf/zzXXGMxv9YZ4TllCwsZj3PBBfnKV+Y34afT3Hxz/vjHLC15fnZNEzynY3bM7iMfyXXXzY/c/vWv+fSn8+STSdyZX7sEz+mYbchPJvniF3PJJfNn5u+6K9u3zzf2rBTXJmt4Tt/sVtwDD+Syy3LwYJaWsnFjdu7Mu9612lfGMzDCc/pmO/YXX5zt25NkOs3Bg9m6NY8+mrhLtyYZ4TlTs037J5/MMGRhIYcP58Uv9kTNGiV4KGJKD0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+DzvaXYkFL3bcAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [26.409736014472823, 58.98163013969017, -33.403187559690046])</answer>", "action": "('move', [26.409736014472823, 58.98163013969017, -33.403187559690046])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJQ0lEQVR4nO3dO4hcdR/H4d/Z7GY3RrwExQsoeEFsvDWKIljZqXiJaCNCCKJgISgoFoKV2lgpNt4QDBgxFgFjISkEO4MiCBaCKBEENcZLJIm7c97iDLP7Rnl9dc/unOz3earJZMgcQj75/c9/zpxt2rYtIMPMtA8AWD+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCh2kbjapt1+etBA/TMxrVH3/UzEw1TS0ursMbCh6mYZL63Fx9/XU980x9+GFV1dLSmr6t4GHdjUbj1L/6qp59tu6+u558sr74Yvxba2l2Tf904ERtWzMz9e239cILtXdvff75+PkLLqiqapo1fXPBwxpr23Hk3eOmqV276vHH6+DBqqr5+brvvtq5s666qtq2Ztc2ScHDmmnbWlqq2dnx3O524zdtqrPProMH68wz684769FH6/LL13qwTzTten0eAFkWF6tpatOmqqoDB+qdd+ree+vKK6uqjhyp3bvr6qvrmmvGL+4m/9oTPPRtMsmrav/+evvt2r27Dh2qe+6p116rhYXltter8wlLeujV5HT9/ffrjTdq3746fLiq6uKL68Ybx3m3bY1G1TTjV64jEx5WbeW2XFV98EE9/3x99FH98ktV1UUX1SOP1C231MUXT/EYOyY8rMJoVKPR8rZc5+OPa9++qqrLLquHH6777qszzqiawgL+z0x4+FfathYXa26uquqHH+qLL+qKK+r006uqvvyydu6sO+6oBx+s+fnx67uLbaZN8PDPLS6OPzD/8cd67716/fXav79eeaV27DhxeT+Aqb6SJT38c7Oz9euv9eqrtWfP+Br4qvrmm6qqpqmmWd6oH1LtJXj4e90qeJLuzz/XSy/VW2/Vp5+On7nttnrggbruuuV5Po0d+P+HJT38T0tL40/UO21bd91V775bVTU/XzffXI89VtdeW1u2TOsA/5Eh/icEg7C0tFz7Tz+Nn2ya2r69tm2r22+v/ftr79666abasmU9b2KxGiY8/JVJ6p99Vrt21Sef1Isv1qWXVtvW0aP16ad1/fXjV56w4B82wcN/m5yHHzhQb75Ze/bU119XVT39dD311PL+/NLS+E41JxWbdrBCV/vRo/Xcc/Xyy+NvsG7bVg89VNu3jzfeuwtjV57YnzwEDys0TS0t1ebNdfx4HTxY551XO3bUjh0nXhV7ctZegocTdZ+o3X9/nXVW3XNPnX/++PlhXCq3Ss7h4e8M7Gq51Tjp/8eCNdGdqHc2Su1lwkMUEx6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CzE77AOAvHD9ei4vVtrVpU83PV9NM+4A2ChOewVlaqieeqEsuqXPPrVtvrSNHqqradtqHtSGY8AxO09Thw/Xdd1VVhw7V0tK0D2gDMeEZnJmZOu208TL+999rNJr2AW0ggmeItm6ttq2mEXzPBM8Qbd1aVdU09dtvlvR9EjxDdOqpVVVNU0eOmPB9EjzD0u3Gd8HPzNSxYyZ8nwTPEE2W9FV1/Ph0j2VDETzDsnLCd8H/9ts0j2eDETxD1E34juB7JHiGaGFh+bHgeyR4hmhurqrG23XdpbX0QvAM0dxczcyMz+e7Ce/7M70QPEM0O1tbtow/gbek75HgGaIu+JUTnl4IniGam1veqBd8jwTPEM3O1imnjB8LvkeCZ4i6JX1H8D0SPMPS7cYLfo0IniFaeQ7/669TPZSNRfAM0cpzeBfe9EjwDNHc3PKS3oTvkeAZotnZ5SW9Cd8jwTNEmzbZtFsTgmdYmmZ8gV13Dt/d1o6+CJ7BOSH4Y8dqcXG6R7RxCJ7BWRl890tDvi+CZ3BOmPCj0Th4P21q9QTP4HRhT256MxrZqO+N4BmoLvi2rbYVfG8Ez+B0l9Nv3lxV43tguPamL4JnoObnxw8mm3bO4VdP8AzUwsK4eUv6HgmegZqfXz6N97FcXwTP4HTn8PPz4wlvl75Hgmeg/jzhncOvnuAZqMmEL9+f6Y/gGZzJx3KTa28E3xfBM1CTJX0Jvj+CZ6BWBt9t2jmHXz3BMziTXfruYrty05v+CJ6BWlhw05v+CZ4hatvavHl5l9619H0RPEN0wjdkjx2b4rFsKIJncLqbXlTVwkI1zfIPip884F8TPEPUBd8VPhrVL7/U0aM141/rqs1O+wDgL3Rt33BDff99nXNOXXih2d6PpvUXCTEskiCI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwD2qvSC56jHFQAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJQ0lEQVR4nO3dO4hcdR/H4d/Z7GY3RrwExQsoeEFsvDWKIljZqXiJaCNCCKJgISgoFoKV2lgpNt4QDBgxFgFjISkEO4MiCBaCKBEENcZLJIm7c97iDLP7Rnl9dc/unOz3earJZMgcQj75/c9/zpxt2rYtIMPMtA8AWD+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCh2kbjapt1+etBA/TMxrVH3/UzEw1TS0ursMbCh6mYZL63Fx9/XU980x9+GFV1dLSmr6t4GHdjUbj1L/6qp59tu6+u558sr74Yvxba2l2Tf904ERtWzMz9e239cILtXdvff75+PkLLqiqapo1fXPBwxpr23Hk3eOmqV276vHH6+DBqqr5+brvvtq5s666qtq2Ztc2ScHDmmnbWlqq2dnx3O524zdtqrPProMH68wz684769FH6/LL13qwTzTten0eAFkWF6tpatOmqqoDB+qdd+ree+vKK6uqjhyp3bvr6qvrmmvGL+4m/9oTPPRtMsmrav/+evvt2r27Dh2qe+6p116rhYXltter8wlLeujV5HT9/ffrjTdq3746fLiq6uKL68Ybx3m3bY1G1TTjV64jEx5WbeW2XFV98EE9/3x99FH98ktV1UUX1SOP1C231MUXT/EYOyY8rMJoVKPR8rZc5+OPa9++qqrLLquHH6777qszzqiawgL+z0x4+FfathYXa26uquqHH+qLL+qKK+r006uqvvyydu6sO+6oBx+s+fnx67uLbaZN8PDPLS6OPzD/8cd67716/fXav79eeaV27DhxeT+Aqb6SJT38c7Oz9euv9eqrtWfP+Br4qvrmm6qqpqmmWd6oH1LtJXj4e90qeJLuzz/XSy/VW2/Vp5+On7nttnrggbruuuV5Po0d+P+HJT38T0tL40/UO21bd91V775bVTU/XzffXI89VtdeW1u2TOsA/5Eh/icEg7C0tFz7Tz+Nn2ya2r69tm2r22+v/ftr79666abasmU9b2KxGiY8/JVJ6p99Vrt21Sef1Isv1qWXVtvW0aP16ad1/fXjV56w4B82wcN/m5yHHzhQb75Ze/bU119XVT39dD311PL+/NLS+E41JxWbdrBCV/vRo/Xcc/Xyy+NvsG7bVg89VNu3jzfeuwtjV57YnzwEDys0TS0t1ebNdfx4HTxY551XO3bUjh0nXhV7ctZegocTdZ+o3X9/nXVW3XNPnX/++PlhXCq3Ss7h4e8M7Gq51Tjp/8eCNdGdqHc2Su1lwkMUEx6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CzE77AOAvHD9ei4vVtrVpU83PV9NM+4A2ChOewVlaqieeqEsuqXPPrVtvrSNHqqradtqHtSGY8AxO09Thw/Xdd1VVhw7V0tK0D2gDMeEZnJmZOu208TL+999rNJr2AW0ggmeItm6ttq2mEXzPBM8Qbd1aVdU09dtvlvR9EjxDdOqpVVVNU0eOmPB9EjzD0u3Gd8HPzNSxYyZ8nwTPEE2W9FV1/Ph0j2VDETzDsnLCd8H/9ts0j2eDETxD1E34juB7JHiGaGFh+bHgeyR4hmhurqrG23XdpbX0QvAM0dxczcyMz+e7Ce/7M70QPEM0O1tbtow/gbek75HgGaIu+JUTnl4IniGam1veqBd8jwTPEM3O1imnjB8LvkeCZ4i6JX1H8D0SPMPS7cYLfo0IniFaeQ7/669TPZSNRfAM0cpzeBfe9EjwDNHc3PKS3oTvkeAZotnZ5SW9Cd8jwTNEmzbZtFsTgmdYmmZ8gV13Dt/d1o6+CJ7BOSH4Y8dqcXG6R7RxCJ7BWRl890tDvi+CZ3BOmPCj0Th4P21q9QTP4HRhT256MxrZqO+N4BmoLvi2rbYVfG8Ez+B0l9Nv3lxV43tguPamL4JnoObnxw8mm3bO4VdP8AzUwsK4eUv6HgmegZqfXz6N97FcXwTP4HTn8PPz4wlvl75Hgmeg/jzhncOvnuAZqMmEL9+f6Y/gGZzJx3KTa28E3xfBM1CTJX0Jvj+CZ6BWBt9t2jmHXz3BMziTXfruYrty05v+CJ6BWlhw05v+CZ4hatvavHl5l9619H0RPEN0wjdkjx2b4rFsKIJncLqbXlTVwkI1zfIPip884F8TPEPUBd8VPhrVL7/U0aM141/rqs1O+wDgL3Rt33BDff99nXNOXXih2d6PpvUXCTEskiCI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwD2qvSC56jHFQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [26.409736014472823, 58.98163013969017, -33.403187559690046])</answer>", "action": "('move', [26.409736014472823, 58.98163013969017, -33.403187559690046])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQ0lEQVR4nO3da4hU9R/H8c+ZmXWzIi9kXiKkRUKK1DJWgrBCjCgrrRXtwRaIhFFEkWsXJE0CS0qIrg+6YSVlppCRVrqhUGlqSbVkFJi2QqXlpi5tzrn8H5zD7Lr6z2rbi+fzfj2Ss4M7I77ney6/ORMkSSIAHgq9/QQA9ByCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPNDb4lhJ0jO/iuCB3hPHKpdVKCgIFIY98AsJHugNldSrqrR7txYv1qZNkhRF3fprCR7ocXGcpb5rlx59VNOn68EHtXNn9qPuVOrWvx1AZ0miQkF79+rpp7VmjZqasu3nnCNJQdCtv5zggW6WJFnk6Z+DQMuX67771NwsSdXVqq/X7NkaO1ZJolL3JknwQLdJEkWRSqVsbqdn44tFDRmi5mYNGqQbb9S992r06O4e7BVB0lPXAwAvYaggULEoSdu36+23NXOmxoyRpNZWrVihceN00UXZg9PJ3/0IHvivVSa5pMZGvfWWVqzQb79pxgy9/LJOOaW97Z7qvIJdeuA/VTlcX7dOy5Zp7Vq1tEhSTY0uuyzLO0kUxwqC7JE9iAkPdFnH03KS1q/X0qX6+GMdPChJ556ru+/WlCmqqenF55hiwgNdEMeK4/bTcqlt27R2rSSdd57uvFP19Ro4UOqFHfhjMeGBfyVJFIaqqpKk/fu1c6cuvFADBkjS999r9mxNm6Y5c1RdnT0+XWzT2wge+OfCMLtg/uuveu89vfKKGhv14ouaNavz7n0fmOodsUsP/HOlkg4d0ksvadWqbA28pD17JCkIFATtJ+r7Uu0ieODE0r3gSrq//67nntObb2rHjmzL9dfrtts0YUL7PO+NM/B/B7v0wF+KouyKeipJdNNNWr1akqqrNXmy5s5Vba369++tJ/iP9MU3IaBPiKL22g8cyDYGgerqNHiwpk5VY6PWrNHll6t//568iUVXMOGB46mk/uWXWr5cX3yhZ57RqFFKErW1accOXXpp9shOO/x9G8EDR6sch2/frtdf16pV2r1bkh5+WA891H5+PoqyO9WcVDhpB3SQ1t7Wpsce0wsvZJ9gHTxYt9+uurrsxHu6MLbjgf3Jg+CBDoJAUaR+/XTkiJqbNXy4Zs3SrFmdV8WenLWL4IHO0itqt96qM8/UjBkaMSLb3jeWynURx/DAifSx1XJdcdK/YwHdIj1QT+WldjHhAStMeMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITggePL5RepEzxwHHGsIOjtJ9ENCB5olyRKErW2qq5ON9+sffsUx7ka9QQPHCUItHKlVq/WG2/o/PP10Ue5GvWl3n4CQB+SJPrlFy1YoCBQqaS2Ng0cmG3PR/ZMeCCTJCoU9Mgj2r1bxaLKZc2bp/Hj81O7pCDJ0wEK8G/FsQoFbd6sK69Uuaw41rhxWrtWQ4dmP8qHvLwOoAsqU++BB9TWlm2ZN09DhyoM81O7CB6QFEUqFPT889q4UcWiokjTpmnGDMWxisXefnL/KXbp4S7dY//xR111lb79VpIGDdL772v8+BwGz4SHuyRRGOrJJ7VzpwoFJYlmz9Yll+SwdjHhYS4d71u26Oqr1dqqclmjRmnrVp1xhoIgPyfnK5jw8JVeb/vzTy1cqJaWbOPixRo4MJ+1i+BhLgi0YoXWrVNVlcplTZ2qqVNzu5Be7NLDVrpsvqVFY8dq714VizrtNG3cqLFjc3XhvZOcvizgRNJ1dQsWqLlZhYLCUHfdpTFj8ly7mPDwFEUqFrV5syZP1h9/KIp0wQXasEFnnZXPk/MV+X0rA/6PdIYfOaJFi3T4sOJY/fqpoUFDh2ZvBDlG8LATRQoCvfaa1q1TqaQk0aRJqq9XGOa8drFLDzeVdXXXXKOmJgWBTj9djY3ZurocH72n8v76gKMFgaJIzz6rr79WqaQ41pw52Wdgc1+7mPCwkq60+fxzXXFFdq6upkbbtmnAgNxeeO/E4D0NONr99+vQIUlKkmxdnQ+Ch4t0/dyyZfrwQ5VKCkNNm6brrsvVPSpPiF16WEhrb2nR+PH64QcFgU49VRs2qLY2/5fiOmLCw0J69L5okXbtyj4De8cdqq21ODPfERMe+ReGKpX06ae69lodPKgo0ujRWr9ew4ZJMhrvYsIj99LrbYcPa8kSHTigJFFVlRoadPbZklntInjkXrrT/s47evddVVUpjjVxom65xevQvYJdeuRZ+r/7p580ebKamlQsqlTS5s0aNy5Xd5v/+5jwyLP0xjVPPaWmJlVVKYp0zz2+tYsJjxxL/2t/9ZUmTFC5rCRRTY0++URDhvgGz4RHngWBGhqy75aIYy1cqCFD8nwHqxMieORTGCoI9Oqr2bq6KNKUKZo+3Wtd3bEIHjkUxyqVtG+fFi+WpCjS4MFqaFC/ftmXzNgyfunIryhSHOvxx/XNNyoWFQSqr9fEiRa3uPhrnLRD3qQX2Lds0Q03aP9+xbFqarRxo4YPl2Q93sWER86k6+paW7VkiX7+Odsyf362rs68djHhkTPpurqVKzVzpgoFlcuaNEkffCBRuySCR56kV9dbWlRbq+++y25Q+dlnuvhi3wvvnfCmh7x54oms9jDU3LnUfhQmPHJlzx6NHClJpZJGjtSmTRoxwu5D73+BfwbkRDq5qqu1dKmGDVMYav58jRjhfuG9EyY8cmjrVm3frpkzNWCAy/2n/yaCR64kSc6/HK6LCB45lH48hhN1xyJ4wAgHN4ARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMj/AOFhBuDo16p4AAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIFklEQVR4nO3cza9dVR3H4d/a51zaQGEAf4AIlpAQY3gJEQ0SExIgiiCQUJgIAS3O1NBIIGFGmAhKZ1XqgBcJkAod0EFJW8GaKGGAlDCsICoTtCAllPaevR3c01JuKuGl97SX7/MM79n3nD35ZO2119q7DcNQQIbuWJ8AMDuChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCh2NvGGb0Q4KHY2YYajKpqmptRr8oeDg25uerqkajqqq//Ll2766q6vul/VHBw6xNJjU/X+NxtVYvvjjcddfw9Yv6LVumHy2p8dJ+PXCYhWv48biq6g87+ieebL97dHjnv91o1FatmsUJCB6W3MI9udaqtRqPa9uzw8aNtfXZ9u//tKq2alXt3Vv79s3iTAQPS2gYahiqOzh13rGj7ruv/rSz3n6nqlrXVd/X3r39eefWRd/oqj48com0YWYLApCk72syqbm5qqr33qsXXhjuuac9/3wdOHDokGHlinbu1yZ33DW67LJasWIWZ2WEh6NsGGp+vubmqutqz57a+cfhgQeGbdurqi3ck6+qk06qb17U33Zb9/1rRx/3XUebER6Opsmkuq5aq3ffrac29Y8+1rZu7atG43H1ffV9rVxZV11Va9bU1VdXVfX9dG4/G4KHo2MYpt3u21e/+XW/6fftueeqqs3NVT+pSV/jrv/BTW3NDe3SS6uq5uertRrNdIAXPHw+ff/hnbb3368NG+q3G/tdr7SqGo/bwu6aE+aGm28ebrm1nXduG40/sjg3Y4KHz2gyqdamtb/1Vj32WN1/f732WlXVaDTdQnPKKXXjDf1PftqtXj09cn6+RqPZXcMvInj41CaTGobpEL1797B5c933i+Gf/+qqajye7pk9/UvDFVcMt6/rzjhj+l8znq4fkeDhUzh8sW3Xy8PTT7cHH+z//kZXVXNz0yW3s8+uK68c1v6onfmVqsN23RwPBA+fyOFbaF56aXj4oXrqqfrba1XVTjih9u+vqmH16rrppnbddXXWWVXH+ur9iAQPH2fR+PzKrvrVL/utz7Y3/lFV7eAF/PDl04fb17XLL28LF/AHDtRotOTb5j4DwcORHX4vve/r1Vfr3ntry5Z6++2hqnWj6idVVWeePvn5naNrrhlOO63VwcfdZrzY9skJHhY7PPUPPqi/vjQ8sL49/vg05q6rvh9GXX31nH7tj7tbbm0LU/pF2+aPT4KHjzg0RM9Pase2/qGHu0cemVSNFvbPLXz67UuG668fbl3bjQ7mfWjXzXFO8PChQ90++fjwxKba9OQwVBuPWx18Qc13vls3rqlrr6sVK6ZvpznOh/RFBA9TC7Vv3lzr19fOncP+/dWNWpuO+f1V36sfru2+dXGdfHJVTV9Zs+wsw1OGpfT667V9e3Vdq6p+Ul1XV1/Z/2xdd/75deKJVVUHDtR4vCxrLyM8HLIwwu/ZU+ecU2++WaeeWpdc3N9xZ7vwwuns/NCTcMuX4GGxDRvqmWfq7rvrggumfzmudst9HoKH/+sLMKQvsjwnIrCUhmH6oMtxu3/mMzPCwxEsl3X1T2tZrSHCrHwhay/BQxTBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5D/AblUr0Yza6NfAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a147230209f4b9869a1eb4904c2c6cbf1b2ff2c0b20edbe5cf541866411d8420"}
+{"episode": 19868, "episode_seed": 1095109321, "split": "train", "timestamp": "2025-09-15T23:03:03.852396", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1095109321, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [15.850254676236839, -19.520510718414542, 34.14830970827942])</answer>", "action": "('move', [15.850254676236839, -19.520510718414542, 34.14830970827942])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [15.850254676236839, -19.520510718414542, 34.14830970827942])</answer>", "action": "('move', [15.850254676236839, -19.520510718414542, 34.14830970827942])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [15.850254676236839, -19.520510718414542, 34.14830970827942])</answer>", "action": "('move', [15.850254676236839, -19.520510718414542, 34.14830970827942])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIiklEQVR4nO3dza9dVR3H4d/a55ZSUgIDgoQUSIhajEKCEEQEAi0BNCSVBItBRCGSaMKA/0eCGBQ0nYBgTTW8BGsTGImpKB0YQ4AyaZPyIm16z14Ozk1IsdBeWrz33O/zjE7OaJ3B56y9115779Z7LyDDsNIDAP5/BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA/H1/tKj+BzIHj4uOm0jh5d6UF8Plpfk/9j8Fn1Xq0tfZhOa2FhpQd0Wpnh4Ri915499dBDdddd9c47VVXjuNJjOn3W1t8XnILZ3P7UU/Xgg3XwYFX1++5rmzat9LBOKzM8HOPKK+vQob5uXQ1D++1v+tGjNayhStbQT4FTMzt1v+SS+sE9tTitavX0U+Nbb/VaQyv2goePjGMNQ23fXn0cJ0P95/Dk98+2NVN7CR7+19evqsu+3GZX5h75+bS1pcl/DRA8fGQYahzr/C+0u7a3qj6Z1N7Xhpdfrt7XyFq94OEY41iTobbc1Dee1cexptP22KNja2vkNF7wcIxhqN7r6mvadde33qv3+uOf6oMPlr6fd4KHYwxDLS7W2WfXlpvGYehV9fb+YceOqqrpdIXHduoEDx83u/C+7c7JhRe2qjp8uHbu7K2thQvy8/8L4HSbTGpxsTZfVlddtfTNK6+0vXtrGOZ+khc8HEdr1aq2b68zzqhhqDfeqF27quZ/X73g4ThmS3R33lkXXFDjWL3Xrl116FCtWzffS3eCh+OYXYfbsKG2bavZ2fvuP4+v/rXXnE/ygofjmy3R3X9/9T4OQ314eHjuuTbbezu/k7zg4dNcfnldc3VNp1WtfvX49ODBPtfbbAUPn2YyqQd+MvRe6xbqX/8eXnllvu+lETx8onGs1mrrlr7xrOl0WlXtsV/0ub6XRvDwiWZLdxdd3O7aPpmdvT/zTN+/f6WHdQoED5+otRrHWr++vvPt3qq3VoePDE8+0ef35jnBw4l949r66teWttk9+eQcr9sJHj7NbJvtRRe1W2+tqmqtXt837NlTrc3lNlvBw4m1Vrfd1s49t3qv99+vXz9Rc3qHvODhBCaTGse68ca64oqqqt5r90t14EAtLMzfmbzg4QRmR+9nnllbt9ZkUq3Vvn1957NjzeEd8oKHE5tMqqruvbfOOaeq6vCReu75Np0ufT9HBA8nNnu45aWX1rXXjL1XVXvu+frnP/rc3SEveDgps1W6Hz8wVNXCQr35Zu3evdJjWj7Bw0mZ7ai944664Pxxts12x456992aTOZpuV7wsAwbNtQ997aqmkzqxRfGfa/P2YuoBA8naxb29+9uvU+HVtM+eebZVjVPD7ecn5HC6nDZV+q6a4eji9VaPfbI9MMPV3pAyyF4OFmze2k2bqx7frh0VP/G25Pnn6/Z+yrmguBhGXqv1uqG6+u882pxsarq0UfnaZut4GEZZg+027y5br+9qqq1euGF2r9/bh50J3hYhtZqcbHWr6+tW2thoarqvff6478cq5Ym/FVO8LA8szX5W26pzZur91pcbDv/UGOfj222goflmUzq6NHatKm+9c1pVa+qvX8fdr/UZ2+hXOUED8s2m+S/d/fk7LNbVR04MP7u6V41y39VEzws22yJbsuW+tIXZ4kPL740vLO/Ftat9jvkBQ/LNrsgPwz13W1Lr5H+26v9L3vmYJut4OGzmB3V/+j+Yf0ZY1UdXWw7d7YjR1b79TnBw2cxe3DtxRfXzTe32WH8a6/VoUOr/R0VCys9AJhjvddPf9YWp/Xww3XDDbVx49JWvFWr9dV8/AGcVg7p4ZTM3kIzL/OmGR6CmOEhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8BdpCvjugZAaoAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1259366a16b6fcb55fa0c0c72dba488053a73168ac10392920178a749077a549"}
+{"episode": 19869, "episode_seed": 81173567, "split": "train", "timestamp": "2025-09-15T23:03:04.502001", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 81173567, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [19.056525828098213, 67.9126306511212, 32.09681028041052])</answer>", "action": "('move', [19.056525828098213, 67.9126306511212, 32.09681028041052])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQElEQVR4nO3cX4gVZQPH8d/MObvLlrlCpohCZb5BlBeSdilpkFHWupqaQovkRQlLqZkYmqBk5p9wWQv/ZOZuqNCKGkFWBFpCfyy8iTCIIm/yz5YWlK67Z868FzOdfeXNtHbPnnP29/1cyHLWi2GZ73meeZ6ZCeI4FgAPYakPAED/IXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQfHmI455/gaIh+PIQBIoiBYFE9igigi+1JO+zZ/Xoozp0SPozfqAICL7U8nlJev55HTyohgatWaMLF5TJpJ8DfYrgSy0MJam+XuPG6dIlrVihOXP0/ffp50CfCmKuGMvEyZNauVJtbZJ066165x2NHZtO+JNre6DXGEbKQy6nm2/W66+ruVk1Naqr04gR6a+CQHHMSh76BCN82cjn02n8hx9q9GiNGaM4VhDo4kXV1qaX9Mzz0TucQGWjEPP992vMmHSX7ptv1NiovXsVhgpDVvLQSwRffpIJfBgql9OGDdq3T/Pna/lydXbSPHqJ4MtPEKSrdEGgefN0zz26eFEvvaTp0/XttzSP3uAavux1dGjpUu3aJUm33KL16zVzZokPCRWLEb68RZFuukk7d2rLFg0Zoh9/1OOP67nn1NlZ6iNDRWKEL3vJWr2kL75QU5O++kqDB+v4cd12m/J5RZGyWTbqcY0IvkIkm3bnzmnhQk2frmnTer4IpMt+Bq6M4CtHYaO+sIx/9qza29XYqBtu6PktcGWcIpUjWZ/P59PxPIq0caOamlRfrxMner4LgCsj+IoShummXRAon0935g8f1uTJam+XeLQWV0HwlSapPY5VVaWWFm3dquHDdfq0Zs/WkiU6d06ZDOM8roRr+EqWXLd//rmWLtXRo5I0ebI2btS4cSzj4S8RfIXL5ZTN6ueftXq1Nm+WpNtv15EjGjGCZTz8P06ICpfNKoo0dKhaWtTWpro6TZ2qwYMvq53vdPyJEX5AKOT9ww8aNkyDBqUfdnRo+PDL/gO8cRIMCGGYbs6PHq1BgxTHiiK98YbGjtVbb/U8ewd7BD9QFFbvk5+7urR9uzo61Niop59WR4eyWZoHwQ8shZX52lpt2aL77pOkV1/VjBn67DNlszxaa47gB6g41vjxevttLV6sMNTRo5oxQ9u3c0OeORbtBq5kx05Se7ueeUanTimT0fz5euWV9DqfjXo/jPADV2ECP3OmDh/WpEmKIv3yS7rCB0uM8AaSwfzCBbW0aOpU3XWXokiZTKkPCyVA8B6YwEMSU3oXyY5dLscqvTlGeMAIIzxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIvpTyeeVyiuNSHwdsBDGnW4nEsYLgsh+AYmOEL418XkGgEyfU0tKTPVBs2VIfgKN8XmGo06c1b56OHdNPP2n1alVVMdSj6Bjh+1tS+2+/6bHHdOyYslmtW6d16xQE1I6iI/h+9b+1f/yxslnlcho5Ug8+qDhmVo+iI/j+k89L0q+/6okn9P77PbUfOKC772Y+j/5A8P0kGb07O7VwofbvV3W1okjDhmnPHk2YkI78QLFxlvWHwui9bJlaW1Vdra4uDRqktjZNnKhcjtrRTzjRiq5Q+4oV2rxZ2ay6ulRVpdZWTZmiKFKWrRL0F4IvrsJS3Isvau1ahaGiSLW12rVLDQ2KY2UypT5EOGFwKaI4TgfwTZv0wgvKZBQEqqpSc7PmzmVNHiXArbXFkoztYajt29XUlH4i6eWX9eyziiKFIcvy6G9M6YsiaTsMtWePFi1SHKfPySxfrkWL0lU6akf/Y4QviihSJqODBzV3rjo7FQTK57V4sdavT++oo3aUBMH3vVxO2aw++EANDbp4Mb3B5qmntGWLxLNxKCmC72NJ7Z98omnTdP68qqrU3a3GRu3cqUyG2lFiBN+Xkpn8l1/qkUd0+nQ6tk+frtZWXXcdM3mUHot2fSap/fhxzZjRU/sDD2jHDl1/vSRqR+kxwveNpPYTJ1Rfr+++S2+evfdeHTyourr0t0DJEXwfSHo+eVIPP6yvv05rnzBB772noUOpHWWE4Hur8Pqa+vr0hRa5nMaO1aFDGjmSx+BQXjgZeyW5Ye7UKc2Z01P7HXdo/35qRznifPz3kp7PndOTT+rIEVVXK5fTf/6j9naNGUPtKEeckv9S0vMff6ipSe++q5oadXVp1Cjt2aM77+QRd5Qpzsp/I6k9l9OiRdq7V9XVunRJN96o3bs1fnx67w1Qhgj+H0vulosiLV6sHTvSF1rU1Wn3bk2cqHye2lG+CP6fSZ57CwItX67Nm5XJKIo0ZIjefFNTpqTPwwJli9PzH0gecc9ktGaN1q1TdbXiWLW1am5WQ4OiqNTHB1wN+/DXKvk7BYGam7VkiTIZdXcrk9GmTWpqUne3sllunkW5I/hrlSzUbd2avr4mn1cca+1aLVumXC59fRVQ5pjSX5Nkm621VQsWpFP3ONbKlVq2LJ3kUzsqAiP81SU3w+/bp7lz0y237m4tWaING3i+HRWG4K8iqf3QIc2erd9/T98zvWCBXnstneQTPCoIwf+dpPaPPtKsWTp/Pr1VvrFR27apqoraUXkI/oqS/fYjRzRnjs6cSV9WNWuW2tpUU8Ot8qhInLN/LbmFJgj06ac6c0Y1Neru1tSpam2ldlQwRvgrKvxhVq3SqlWaNEkHDqiujoU6VDCC/zuFtrdt00MPadQoakdlI/irK0zgqR2VjivRq0uehE3W8ICKxggPGGGEB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8F5KZOaS7hb4eAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK3UlEQVR4nO3dT4hdd93H8c+9M6mt5I8Sk5qqbdIMI9TEGlvcW6GrQrW1iAuD0G1RES0UxYWgiFaQKFRaFKkLwbhQEAQ3FbrQ0pimtsXGoY3F0oZMDJJq/kzm3uPinE4oz1OeB9p7zky+rxch3DnJ4izOe35/zj33jpqmCVDDeOgTAPojeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEvz40zeW/YWYEvz6MRplMMholsmeGBD+0Nu9Tp/LpT+d3v0tejx9mQPBDm06T5IEH8utf51Ofyre+lXPnMjfXHYe3leCHNh4nyZ135sCBXLyYr389n/1sXnihOw5vq1FjxbhOvPRSvvGNPPpokuzZk9/8Jvv3dxP+dm0Pb5lhZH1YXc0NN+SRR/KDH+Qd78i2bdm1q/un0ShNYyePt4URft2YTrtp/O9/nxtvzMJCmiajUc6fzzXXdEt683zeGhfQurEW8+23Z2Ghu0v33HM5eDC/+EXG44zHdvJ4iwS//rQT+PE4q6v53vfyq1/l3nvzta/lwgXN8xYJfv0ZjbpdutEon/98PvaxnD+fb387d92V55/XPG+FNfy6t7yc++/Pz36WJLt357vfzT33DHxKbFhG+PVtMsmOHfnpT/PQQ3nXu/L3v+dzn8tXv5oLF4Y+MzYkI/y61+7VJ3niidx3X44cydatOXo0e/dmOs1kkvl5N+r5fxL8BtHetDtzJl/6Uu66K5/85OVfBMkbXsObE/zGsXajfm0b/9SpHD6cgwezZcvlf4U35xLZONr9+em0G88nkzz4YO67L3femb/+9fLvAnhzgt9QxuPupt1olOm0uzP/2GO57bYcPpx4tJb/g+A3mrb2psmmTTl0KD/+ca69NidP5jOfyVe+kjNnMjdnnOfNWMNvZO26/U9/yv335/HHk+S22/LggzlwwDYe/yvBb3Crq5mfz+nT+eY388MfJsniYv7wh+zaZRuP/8kFscHNz2cyyXvek0OH8uij2bYtd9yRrVvfULvf6bzOCH9FWMv7xRezc2c2b+4OLi/n2mvf8B+ozUVwRRiPu5vzN96YzZvTNJlM8pOfZP/+/Pznl5+9ozzBXynWdu/b1ysrefjhLC/n4MF84QtZXs78vOYR/JVlbWf+mmvy0EP5xCeS5Ec/yt13549/zPy8R2uLE/wVqmly66355S/z5S9nPM7jj+fuu/Pww96QV5xNuytXe8cuyeHD+eIX8+qrmZvLvffm+9/v1vlu1NdjhL9yrU3g77knjz2Wj388k0n++c9uh4+SjPAFtIP5uXM5dCh33JF9+zKZZG5u6NNiAIKvwQSeJKb0VbR37FZX7dIXZ4SHQozwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUMj/0CZTWNJlOMxp1f2DWRk3TDH0OQE9M6YcxnSbJ88/ngQfy29/m5Ze7IzBTpvTDaOdVTzyR73wnV1+dJE8+mX370jTm9syQEX4Yc3Npmjz3XJJcuJDxODfckETtzJbgB9AO7//5T555pjty663dOA8zJfjBvPZajh3rhvQDB7Jp09AnRAGCH8zp0zl5suv8wIHk9ZEfZkfwA2hH9bX5fJJ9+xLBM3uCH8yf/5wkKyvZtSs7dgx9NtQg+GE0TY4e7V7v359t2xJb9Mye4IexspKnn854nCQ33ZQtWxLBM3uC71u7UF9ayr/+1QX/oQ9lPM5kMux5UYLg+9YG/+STSbK6mvE4u3dfPg4zJfgBNE2eeqorfM+eXHddYj5PLwTft/bd8keOdD/u3ZsPfCARPL0QfN/G4/z73/nHP7of9+zJli2ZTLr1PMyUq6xX7cddPPtszp3rjiwsdB+DAT0QfK/asJ95Jq+9liSbN2dx0cfd0B/B96rdqPvLX3LpUpK897354AcTC3j6Ivhejcdpmhw/3v24c2f27EnTWMDTExdaf6bTzM1leTmnTnVHrr8+V12VS5eM8PRE8P1pF/DHj+fkySQZjbJ/fxLDO/1xrfVn7U21y8tJ8s53dsEb3umN4Pu2tNQN9Vu25OabE8HTI8H3pGkyP5/V1bzwQnfk3e/O9ddnOjWlpz+utZ60b7l55ZW8+GJ3pJ3Pe2aGPgm+V6+8kqWl7vVHP5qYz9MvwfekHclffjlnz2ZuLqOR4BmA4HsyN5ckf/tb9+P8fD7ykUTw9EvwfWgfib14Mc8+mySTSRYWsn370KdFPYLvz5kzlz+a+pZbbM4zABddH9oF/NmzWVrq5vbtN09AzwTfh3ahfuJELl7svmrmllsS9+ToneD70AZ/9GhGo1y6lKuv7r4rFnom+J5MJjl2LE2TySQ33ZStW4c+IUoSfE9WV3PkSDfU33xz980T0DPBz1y7UD99OidOZH4+ST784Wza1N2rgz4JvidPPZW8Hv/iYhIfXMkABN+T9qsjV1ezfXt27Rr6bKhK8DPXjupr3zyxuNgFbz5P/wQ/c6NRptPL77FbXMyOHRbwDEPws9WGfeJEzp7tjuzdm7m5TCaCZwCCn612Z+7YsZw/nyTz89m7N/EeOwYi+Nlqw3766Vy4kCQ7d3bBe3KGQbjuZmst+PbF+9+fhYXEjh0DmR/6BK5k7QdXrqzk1Vdz1VVpmrzvfdm+Paur3TNz0DPBz1D7HVJLS3nppaysJMnu3UkynXZvuYOeue5mqJ23X3ddHnkkx4/n+PHcfnsSwzuDGTX2i/symWQ67Z6Hh0EIfubaR2JHIwM7wxN8f7y7jsG5LdcftTM4wUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5L06+kB033YVJAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [19.056525828098213, 67.9126306511212, 32.09681028041052])</answer>", "action": "('move', [19.056525828098213, 67.9126306511212, 32.09681028041052])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [19.056525828098213, 67.9126306511212, 32.09681028041052])</answer>", "action": "('move', [19.056525828098213, 67.9126306511212, 32.09681028041052])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIq0lEQVR4nO3dX4hmdR3H8e85zzPP4p8LzRW8yzS9SbILizDUbFFkEcW/FxJKtrm4LsW27taNgQiWiVKK4upKihUFrvhnA/8s+WdJssQU6i5rCaIVzLryz8xzzuniGUaKKM21mdnP63U5c3Ng5n1+3+d3fnOmGYahgAztcl8A8P8jeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgi+BWh65b7CsjQDMOw3NeQbhiqaZb7IshghV9+TVOPPVbTaVWV2y8fKsEvp9kkv3NnXXppXXRRvfZaNU0Ng+z5sBjpl03X1WhUzzxTl11W+/fXMAwfP364a0e7bt2734UDywq/zP6yv956s4ahJpPm96+269cP375xeOftGo3s5HHgWeGX3zNPD1u3Di/9ph2PZ5/k+wvPr5tvbY87zjrPAWaFX2ZdV58/s3nkkebKLw3T6VBV47n2oUea9etr9+7F2t2TOVCs8MtvOq3xuBYW6u67+m3bh7feHq2Z1DvzddhhtX17XXddNU11XbWtp3d8UIJfEfq+2raq6vlfDNdsrpdfbubmajqtYajzzqvvf6+O/Vh1XTVttZrnAzDSrwiz2vu+Tv1cs2dPc8UVtbBQw1DjcT36aK1b1+9+rB+Nqm2q75f7WlnNBL+CtG31fR11VN13X91+e61dW9Npzc3VH/7YXnB+XX/98PY71bZ27/nfGelXnGGovq/RqJ5/vrZuGX75qxqPm2GorhvOPbduuaVOPLHp+2oaH+l536zwK07TVNvWdFqnnlqP/aw2XNlPp0PX1WTS7N7dnPWF/uGH+9kGnvGe90vwK1HT1HhcXVdr1zZ37xztuKuOPLLm52syqT/9eXTxxfWt64Y331wc741ovHdG+hVt6Q/pXnyxrt7YvfhSOxo1s8/w55xTt91WJ5zgiR3vgxV+RZtl3Pd1yin15FOjqzYMXTdU1dxcPf54nX127do1zA7nGO95LwS/CsxG9yM/Ujvuae+9t1m7thYWajKpffvqssua7duG+flqW7M9/52RftWYreFtW6+8Uhs31gsvLG7U932defp0x87xCSdUeZ0G/5EVftVY2pk/+eTas6c2bVp8bj83qaefG59+Wv/gg1W1eA4X/i3BryazJ3Z9X4cfXnfcUTt39scc0y/MD5NJ7X+tveSSYfu27u9/G0ajxWO58C+M9KvV7Pj9i78ert06PLu3HY9rGKrr+rPPqptvbj95ck2nNRoZ7/knVvjVanY455RPNw893G7ZUtNp33U1N9c++VR73vnDAw/UeLz4wixYYoVf3ZbekPHjH/Zf/Vr99Y12blwL05pM6uqr66abas2acg6XJYJf9ZZ6/t1vh02b6rm9zewW0HV12mnDnXc2J520+GLM1jwXz6/Aqrf0p7WfOKl5/Ilmy5bFY7mTSe3d25x5Rv+jB/rZbp/dewR/MJj1PAx1yCF16611zz117Edrfn6Ym9Trb7RfvHz4+pb+9ddrNKqFheW+VpaVkf5gM/tU/8rL9Y1v9k88UW3bNk113XDGGfXd79RnPts4e5/MCn+wmT2EP/lT9dOfNNuvrb7vu67WrGmefba54MLhBzv72bM69/lMVviD09Lu/UO76prN/f797WRS8/M1Nx42fKW58cY64giHcBMJ/qC19GLMV1+tq77c/fzZUVW1o+q7uvzyuv/+Zb48loWR/qC19BDu+OPryT2jbVv7ww6rvqu1a2vjxiqvu49khT/4zX7CTVO7dtUNNwwbNjSbN7/7RaIIPsLSizH37aujj65DD61SeyTBB5n9ixuSCT6Lc/XhBA9B7NJDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8A2zQIz73YxF4AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "715539e971c47a3157ae90205656477a12f50b9f801ce1abf50a97ffd7da706a"}
+{"episode": 19870, "episode_seed": 4025298498, "split": "train", "timestamp": "2025-09-15T23:03:05.151857", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4025298498, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2959581488765943, -1.506754452242496, -14.830531272640997])</answer>", "action": "('move', [2.2959581488765943, -1.506754452242496, -14.830531272640997])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2959581488765943, -1.506754452242496, -14.830531272640997])</answer>", "action": "('move', [2.2959581488765943, -1.506754452242496, -14.830531272640997])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2959581488765943, -1.506754452242496, -14.830531272640997])</answer>", "action": "('move', [2.2959581488765943, -1.506754452242496, -14.830531272640997])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3b58807d652c402f5156d38a65d646e2adbb3e2ee447cf85b71e06a88d527de0"}
+{"episode": 19871, "episode_seed": 2892923736, "split": "train", "timestamp": "2025-09-15T23:03:06.168673", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2892923736, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [45.35001882879457, 59.80443917088178, 55.72310627214665])</answer>", "action": "('move', [45.35001882879457, 59.80443917088178, 55.72310627214665])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [45.35001882879457, 59.80443917088178, 55.72310627214665])</answer>", "action": "('move', [45.35001882879457, 59.80443917088178, 55.72310627214665])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [45.35001882879457, 59.80443917088178, 55.72310627214665])</answer>", "action": "('move', [45.35001882879457, 59.80443917088178, 55.72310627214665])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHzUlEQVR4nO3bW49dZR3H8f9ae3ZBuDFtrIVEEm2oaRWwnTpSJDaWtooJJb4pLrjjFfASjJxKChIbI2hqCnIqB+NoRQSCxZIegO69Hi/2dqYph6gMnSG/zydztfYh62J/5/+sZ6/dtdYKyNCv9wkAV4/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcjCep8AfF6t1TBUa9X31Rthn6lrra33OcD/7PKPbdet33l82fh/yJfGbJIPQ1VV163+vflmPfhgHTlSTz1VVTWdru9pbmiW9Gx0Kyv2hYX5MG+tzp2r5eU6erQe+sX0pVdGH31UFy/W4mIdOGDgfxZLejao2TBvrcbj+ZEPP6w3/tZee7178sl69KHh1T/VbInadTVaqMmluu22Onastm6t1mT/yUx4NpaVdft4PN+BO3u2nn++Xnihnn66fv3U8Pd/9FVdVT8e1zDUdFqt1eTSsGNHf+ut8wU/n8aEZ0OYfQxnO+0z77xTvznenvlde+6P/cmT9d578+ObNtV0unKhPl1a6u+8sxb3tN17+p07529ivH8awbM+WpuXeUWcy8t19Gj71bHhlddHf/1LO3+hqrqqGo1Wd+PGo+ldB/u7f9btXWzf/FZ3ww3z48PwCW/I5QTPVTW7LK+q0Wj14MWL9fKpeuSh9uijw5+X+7Nnu8mkzTpfMR7Xli114EDde2/dsa9t3tJdd938oTbUZDr/El7tn03wXA3DUMO0qquF/+waXbhQb7/VXnq5Hn+8e+yxWl7++ItaVW3d2t14w/Dj/XXPz/s79tU111z2cFsd6Tr/LwmeL9DHd9r/eaZOvdief7GOH++ePDac+Vc3m+TjcU0ms+Hfumo7d/Xf3tFu/0E7eLjfs+fKt519ZkX+fxA8a292fV61ugN3+nQ989vhxB/q5LP9id8P5y7MO9+0qSaT+db6aFT79tXSUtu7py3d3m/fPn/tym2zCv/8BM8aWPkQXdHkqVN17FgdP16vvVavv9o+mtSs84WFmkzmz7n+K8Ndh/pDh2r37tq+vbZtmx+fDfzRyO3xa0nwrLFLl+rEiXr4l8MTT9TpN/ozZz7hXte+r21bh5/eXfcc6Xd/r31t6+oO3HRaw1CjkSvzL4TgWQPnz9e779azz9UjD7ejjw1vvT36+A0wo1Ft3lzfuHF66Cf9kXu7vXtr06bVR2fr9q4zz79Y7rRjDdx3Xz3wQJ0/P/subbSwsHrH23hcO3bUzTfX/v3t8OFu167R5S9cGTc6vzoEzxoYhrp4sa69tvvgg6qqyaRdf137/lK/uKft3Vt3/LC76aaaXb1f/lu3stN+1VnS87nM1uEnT9biYlW1zV9tBw/1P9pft90y7PxOv2XL/GmXLs2X6yb5+hI8a+D99+v++2tpqW75bvv6ttUdODvtG43gWQNX/F5lti1vB24DEjxr5tN+D8PGIXgIYskFQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4NtHWqKBTAlwMAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "43cb7f0f3313d8e6ac3fb9904495be4adbf38983eb955248ec0b0f5bc8f4d286"}
+{"episode": 19872, "episode_seed": 777624026, "split": "train", "timestamp": "2025-09-15T23:03:06.814727", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 777624026, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.6512172686217061, 0.827002385819211, 21.457400718425806])</answer>", "action": "('move', [1.6512172686217061, 0.827002385819211, 21.457400718425806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.6512172686217061, 0.827002385819211, 21.457400718425806])</answer>", "action": "('move', [1.6512172686217061, 0.827002385819211, 21.457400718425806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.6512172686217061, 0.827002385819211, 21.457400718425806])</answer>", "action": "('move', [1.6512172686217061, 0.827002385819211, 21.457400718425806])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALT0lEQVR4nO3dW4hV1QPH8d8+Z58zdjHHTF/U1ESjUCI0o4tkIj5EVBKNYb2EGUWYiWUpJiV006eM7IZIWmSKXQ0UQgmpxpJ6USsxGstQyjKnvIzn7L3/D/s43ufi3zNn2+/7eRwcZvnwPWvtvdfaJ0iSRAA85Go9AABdh+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgge6UBzX9u8TPFB9SaIoUpIoV+PiCB6osihSEOittzR9ur7+urZjCWv754H/uCRRPq8DB7Rihdau1e7dWr68hsNhhgeqKb1o37ZNW7cqn9fdd0tSktRqOAQPVFPa9vbt2rlTxaKGDavtcAgeqJokURgqSfTtt0oSXXuteveu7YgIHqiyvXv15ZcKAo0erR49ajsWggeqJl3P79mj775TkmjkSOnITfsaIXigatKwGxvV3Kx+/XTZZbUeEI/lgOpJg+/RQ0OHavhwDRggqbZ7b4Kkdk8IgP+AJGlzhZ4kimM1NysIVF/fZaM6HYIHzlxae7mssI21chQpn++6MbWJa3jgzAWBDh9WGKpcPtVumnR6T2vPxsxK8MCZSFveu1eTJmnVKoWhguD4qNPZf+5cTZumdesUBIqimg33CG7aAZ2Whp3L6fHHtWqV1qzRpk164gnV1x+5pE//xf79evVV/fWXunfX2LFZWNszwwOdViopCPTGG1q8WHV12r9fH3ygf/6RWlfuafcbN+rgQfXsqTFjJNW8dhE80FlRpGJRmzZp3jwFgUol1dXp+efVr5/K5SMP3dIzM+vW6eBBXXyxRo3KwmF4ETzQKXGsXE7//qvHHtNvv6lQUBxrxgxNmFA5CHucxkZJGjZMF11U2w12rbiGBzqq9Z7c3Ln6/HOFoQ4f1s0366mnKh8EFXGsMNSOHWpqkqSxY6Ua77dplYlBAOeKXE4ffaRXXlGhoChSnz567TV163Z8zul6fuNG7dypMKwEn4HpXQQPdFB6G+7nn/XQQzp8WHGsJNHChRo69KQ3U6YrgcZGtbSof39deaVE8MC5I0mUJCqVNGWKdu9WXZ2iSDNmaOJExfHxLadn4CUNHKi+fXXrrRlZzKfYWgu0r1RSoaA5c/Tss8rnFUW64Qa9/756927v7vuBAzr//K4baHsIHmhHul9mzRpNnKgDB5Qkqq/X2rUaMeL0W2miqLKpNkvTu7hLD7QtTbqpSVOnqrlZ+bySRM8912btkvL5o1vos3H1nsrWxw+QKelyvaVFs2Zp+/bKnflJkzR58jF7bE74BUl//qkpU3Tvvdq8+aQd9jVG8MBppdPz669r+XIViyqVdMUVWrhQ+XzltMwpfkHSrl1askTvvKMdO47+MBsIHji1dC/NV19p5szKUbfu3bV4sXr2bO8b4rZsURSpb18NGtRFY+0wggdOIZ2Vf/9dU6aopaVyZ/6ZZ3TddSc9hztWLqco0oYNknTNNbr00i4bcAcRPHCi9Kl7Lqcnn9SWLZX3W0yYoAceqBxpP3Xw6YfEoUNat06Srr5aF16oKMrUjfoMDQXIiDTSN9/UsmUqFhVFuvxyvfSSLrhAQdBev7/8oh9/VLGo4cMrb8nIEoIHjhNFCkM1Nmr2bJXLKpd13nmaP1/9+5/mzvwJNmxQEGjwYA0bpiDIwhn4YxE8cFS6kt+3T7Nna88eFYuKYz36qG67rfJB0L4VKxRFGjJEQ4a0eblfG2y8AY5Kg3/6aa1fXzn9Om6c5s2TOv66mpEj1dKim26SpChSoVC90Z4BttYCFelT95Ur1dCgfF5xrH79tH69Bg/u5H65/ftVKmXhLfQnI3hAOvLUfds2jRmj3bslKUn03ntqaDj+5Rbtaucl9TXGNTxQmcCjSA8/rF27VCgoSTR9uhoaOvlYrfVsbFbnUYKHu/Sge5Jozhx99pkKhcqLq+bO7fBKPn321tSkO+7Q9OlqasraFvpW2V17AF0jjlUs6pNPtGiR8nmVy+rVSy+8oPr6Dr9IPl30f/ONVq9WHOueezRwYLWHfWaY4WEtPbS+c6dmzlRzs3I5JYlefFGjRnXmayNaX2IXxxoyRCNGSFl5p9UJCB6+0hV7qaSpU/XDDwpDlUq67z5NntyZ2tPr9kOHKodhR4/O7HpeBA9nafAvv6wPP1ShoHJZV12lBQtO9Yb5NqTr+a1btXmzkkTjxlVxxP83goeptNMvvtDs2crlVC6rWzctWqRevTo5Pafr+R071NysMNSNN1ZnvGcHN+3gKN3z+scfldOvdXWKY82fr+uv7/x22PQ53C23aO1aff+9+vSRMnoBLzbewFCSqFxWHOv++/X225Wz7g0NWrJEdXXK5TJb61nAkh5e0rPuhYKWLtXKlZXTr4MHa8GCyuukz7z2OM7CN8C3jRkeXtJL902bNG6cmpsVBCoU9PHHGj8+C1/fXnXM8DCS3pb/+2898oj27VMYKo41a5ZL7WKGh6Fp07RwoQoFlUoaP16ffprl0y5nGcHDRbqYf/ddTZpUuVE3YIDWr9egQVn7togqInhYaH3B5PDh+uknhaEKBS1bpjvv7OTp13OczX8U3oJAQaAw1NKlGjlS5bIefFC3365SyWVuTzHDw86vv2r1at11ly65xGt6F8HDzbGF+1y6tyJ42DHsvJXTagaQlN197l2B4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8DxRd7t+gPl4dAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5f80f4a2566522b4cb15823ed178c56cc9d4510b14d03e357ddb26701109cabc"}
+{"episode": 19873, "episode_seed": 3148177001, "split": "train", "timestamp": "2025-09-15T23:03:07.460328", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3148177001, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.186796247420649, 3.3279892881045274, 37.147703764002436])</answer>", "action": "('move', [-3.186796247420649, 3.3279892881045274, 37.147703764002436])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.186796247420649, 3.3279892881045274, 37.147703764002436])</answer>", "action": "('move', [-3.186796247420649, 3.3279892881045274, 37.147703764002436])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.186796247420649, 3.3279892881045274, 37.147703764002436])</answer>", "action": "('move', [-3.186796247420649, 3.3279892881045274, 37.147703764002436])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e97a2a746ac09b62a4cd7b3f5b12fd9a91a7777e706dacbf4d0380058f015eda"}
+{"episode": 19874, "episode_seed": 1074935468, "split": "train", "timestamp": "2025-09-15T23:03:08.106608", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1074935468, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.2388180501130972, -3.4534633323023765, -42.9472767820406])</answer>", "action": "('move', [1.2388180501130972, -3.4534633323023765, -42.9472767820406])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKjklEQVR4nO3cTYhdZx3H8d+9d5qmSWorrU3jW23aNGMkEoiO0Ui7aN2omIVIsBRB8IW6iW+gVAURV7rQhWhAUMSNUEQEXVQXLgqdxJGQtKONdtL0heZlqJRE0mpm7j0u7mVe0lRbTXLnzv/zIYvknDPJmcD3nud5zjnTapomQA3tYZ8AcOUIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoZGSCb5phnwGMvrFhn8Cr1Wql10vTpNUa/AJeq9EI/vz5NE2uvnpxy/x8mibtdlqttEdmmAJDttKDn5/P2Fh+9rP84Q+5885s2ZI3vzlvfGOuvXbxmLm5JOKH/67VrOzJcbebdjt79+bBBwdbNm/Otm15+9uzdWvGxzM+nhtuWHZ8YtgPF7eig+/10m7n2WfzoQ/lsceydm3m5gZJ9918c97yltxyS7Zty86d2bkzb3rTRf6ehW/RRwDFrfQhfd+uXfn733PixIXbT53KqVOZmkqS170u11+fm27Kzp3ZtSu7dmV8fHDY0s6t/FHZir7CL+h2c/58nnkmBw9mcjKTkzlxIufO5cUXL358u501a3LDDdm1K+99b973vmzenA0bsn79ssPm55MMZv7ip4LRCP7lZmfzxz/m4MEcOpTnnsupUzl9etkBnc6ywf+GDZmYyMREdu7Mrbdm48Zs2pROZ/GA8+cH5YufVWyUgl840/4NuQVnz+bRRzM9nenpzMzk2LHMzCzu7XTS6WR+Pr3eYMtVV+Wd78z27dm2LXfckdtvz5YtWbNm8Uvm5gbZG/azyoxS8Es1zWA23jS56qrF7S++mCefzPHjmZnJkSM5ciSHDy/u7cc/N7f42dHpZPPm3Hprbrst27dnx47s2JFrrln2Dy2lf0baqAa/VD/+/gV8afxzc5mdzfPP59ixHDyYAwfypz8tm/a324uX/f4f3/CG3Hhj3vrWTEzkPe/Ju9+dG2+8Ut8GXH6rIfilFq78rdayKXqSl17KuXM5ejSPPJLJyUxN5cyZ/POfg6W7l7v66lxzTd72tuzePVj2v+mmrFuXsdG4swEXsdqCX6o/4E9ecSo+PT248k9P5/TpPP98/vGPxb39L1n633PHHfnhD3P33el2L/w0gZGwmoN/uaXf6wUfAU89lcOHc+RIHn88Tz2V48czO7u4tz9TuO66/Pa3mZgQPKOqVvAXeKXx/+nTmZnJzEyOHs1jj2V6Ok8/nSS33JKjR7NmjdV7RlXp+ejSzvvLfv2HeTduzMaN2b07Sc6eHTzPd/hwut2sXTt4vB9GUekr/EX1Z/79i3+ns6zthRUBGFGC/y8W+vcEHquA4KEQk1EoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwq1rTDPsMWFkEv0r1U2+1NM9Sgl+Ner20Wkly5szgN5BE8KtQt5t2O/Pz+fa388EP5ujRJOn1hn1arAiCX1263XQ6mZ3N/ffnG9/II49k//7BLmN7krFhnwCXTq+XTieHDuXzn8/DDyfJnj351KfS66Xtk51E8KtE0wyqnpzM3r159tm0WvnKV/LAA7n2Wtd2Fgh+9PWH8UlarWzfnm3bcvZsfvSjfPzjy/ZC0mp8/I+0+fmMjeXcuaxfP7jIP/FEut2MjydJ01ilZylTu5HVNOl2MzaWqal84hN59NG022mabNmS8fHF+/CwhCH9aOr33OnkF7/Il7+c557L00/nwIGMjUmd/0DwI6g/dG+afO1r+d738tJL2bgxX/rSYKPUeWXm8KNpdjaf+Ux+/eskede78uMfZ8eOIZ8So8AcftR0uzlwIB/4wKD2++7LQw9lx450u8M+M0aAK/yIaJrB5Pxf/8pdd2VqKuvX5+tfz1e/msSjNbxKgh8FCzPz/k313/0u3/xmvvCFfOxjluh4TQQ/Ik6fzrp1g8fmWq2cPJlNmwY34eFVMw5cwRZecXv44ezenc9+NnNzg6doN20a3ISH10LwK1X/LddeL/v3Z8+eHDuW3/8+k5ODn2nRf08GXiPBr0j9ufqZM9m3L/ffnxdeyJYt+elPc+edSdLpWKLjf2MOv/L0Z+l//Wv27ctDDyXJPffkBz/I1q2eq+H/5EKxwvR/OtUvf5mPfGRQ++c+lwcfzNat6XbVzv/Jqs+K0U+9P+A6eTJ/+1s2bMh3v5tPfzqdjrdcuSQM6VeGhRts/UF70+SBB3L33bnnnsRzNVwygh+2hSX3Q4dy/Hg++tELJ+rm7Vw6rhtD1X9gttPJb36TD384996bX/0qrVbm5xefpVU7l47gh6c/aW+3853vZO/enDyZdesWH7ZptaTOJWdIPyT9gfoLL2Tfvvz850nyjnfkJz/JxIQxPJePVfph6A/X//KXfPKTmZpKkj17sn9/br5Z7VxWgr/i+kn/+c95//tz5kzWrs0Xv5hvfSudjtV4LjfBD8nrX5/bb88zz+T738+99yZJ06idy80cfnieeCInTuSuuwbvyRjJc/kJfkgW5ureaecKEvzw9HqDm/BwpQgeCrFKBIUIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FPJvXhK2EY8vTtwAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.2388180501130972, -3.4534633323023765, -42.9472767820406])</answer>", "action": "('move', [1.2388180501130972, -3.4534633323023765, -42.9472767820406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.2388180501130972, -3.4534633323023765, -42.9472767820406])</answer>", "action": "('move', [1.2388180501130972, -3.4534633323023765, -42.9472767820406])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9f6921269246e2661cd7f90f2650f0603e7398000a0a92d8ad671fa9c380109b"}
+{"episode": 19875, "episode_seed": 2601310216, "split": "train", "timestamp": "2025-09-15T23:03:09.101702", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2601310216, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-46.18642216017036, -6.299672502865371, 9.281873599722056])</answer>", "action": "('move', [-46.18642216017036, -6.299672502865371, 9.281873599722056])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-46.18642216017036, -6.299672502865371, 9.281873599722056])</answer>", "action": "('move', [-46.18642216017036, -6.299672502865371, 9.281873599722056])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-46.18642216017036, -6.299672502865371, 9.281873599722056])</answer>", "action": "('move', [-46.18642216017036, -6.299672502865371, 9.281873599722056])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ec2dc6c98adf7e314eb68ae8ebd869b461a8983f654cf68bdd4b94a230ea2b06"}
+{"episode": 19876, "episode_seed": 3367386438, "split": "train", "timestamp": "2025-09-15T23:03:09.739033", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3367386438, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.5441677513373752, 0.4070693115154372, 33.70738088251809])</answer>", "action": "('move', [0.5441677513373752, 0.4070693115154372, 33.70738088251809])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.5441677513373752, 0.4070693115154372, 33.70738088251809])</answer>", "action": "('move', [0.5441677513373752, 0.4070693115154372, 33.70738088251809])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.5441677513373752, 0.4070693115154372, 33.70738088251809])</answer>", "action": "('move', [0.5441677513373752, 0.4070693115154372, 33.70738088251809])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIdUlEQVR4nO3dX6jfdR3H8ff3e87vWDK9iLwYXRTsj7srbAqKDEaGk6lZlrOoriKU1OnUdKRBuLSpy2mj7goESRO1RMNCZSE2/+3WghI2vRCvHCWSO7/f99PF73RWoaUp7ey8Ho/rc/GFL8/f5/N9f37f3+laawVk6I/2BQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIILnA9ba0b4C3png+cBMU++6o30dvDPB88EYjxdSf/rpevNN6/wSJXjer9ZqPK7Z2Xr99Xbjje3MM2vHjuo6zS9FXXNbeB9aq2GomZl64YXafv3k8Sf6vu9Go7r77rroohqG6q0pS4m7wf9uGKrramam9tw1nH9+e/yJmbm5bhjqrbfaiy9WGeAtPbNH+wI4Jk1L7vt69dW6autw3/1dVTc7W4cP10c/Muy+s/vSRdVazcwc7QvlX9nS855NJgslP/JIu/LKeumlGo268bhaa5/9TPvRnu7kdSb1S5QtPe/BdD43M1Ovv17f2T6cd1576aVubq6bn68TThi+993268f6k9d1w2Azv0RZ4Xm3hqGqqu/ruefquutq797q++q6mkzaKad0N3+/nb2pcxS/xFnheVem8/a+rz172ubNtXdvjUY1DDWZDN/8RnvkkTp7UzeZVNepfUkztOO/WJzPvfxyu/aa+sX9XVXNzdXhw7VyZd26s/vq17qqhaN4ljhbev6Txfncw79qWy+fHHhldna2xuOqqnPOqd27a+3aaq1ac95+bHCXeHutLdR+6FD79rXtcxe0A6/MjkY1HteJJ9ZNN7VHH621a6v948GeY4IVnrcxfRrv+3r++XbV1uHpfX3XdX1fk0n71CeHH97Rb9zYVVVrntiPMT6Z+XfTr8p2Xe3eXZvObk/vm5mb61qryaRdekn95rf9xo3ddGKv9mOOFZ4jFg/VDh6sbdvqwQerqqYP7R9bObl918zFX64ynzuWCZ4Fiy+6PPBAXX11HTxYi/O5c88ddt/RrVrdmc8d69w6FuZzfV9//UtdtXWyZUs7eLDm5mo8rhUr2s6d9dBD/arV3WA+d+yzwqebpt51te/3bdu29syz3cxMV11NxrV+fe3aVRs2VJnPLRc+rqNND96Goe64fdi0qZ55th+NusmkJuPhssvaY4/Vhg01mVSZzy0XZi+5prX/+U/tuuun87ludrbm5+sTH2+33FwXf6Wrf/riDcuDLX2ixfncvT8ftm+vAwf70ajmx1Vt+PwFtfPWfs2aI0fxLCfuZ5bF+dyhQ3XFFfW1r/cHDvZzczU/Xycc327bWffe169ZU+PxwqsyLDNW+CCL+/N9++ryy2v//oWX24ahrf90u/Ou/owzqsoP0S1nbmyK6Q9XvPW32rWrzjqr7d9fc3MLv0L1rUuHJ57szzjjyItxLFdW+AjTRfuPf2jbr2+/fLjvuprO51avrh07asuWI3/D8ib4FPfc0264oR040I1G3fx8VdWFF7adO7tVqzyxB3Est8y1Vm+8UddeM/npz2bm57vRqObn68MfGm75QX/JJd1xxy1s9R2zh7DCL1vTLfprr9XmzbV//8ICPgy1/pTJj3/Sn3paV7bxedztZWv6z55WrKiVK6ej+BrNDldsbU/+bubU07phqGY+l8cKv5xNF/ADB+r00+v449ttO9sXvtiXhT2Y4Je56UsvTz1VJ51U69YdeVWGTIJf/hbXcz9cgeAjeJWdKcFDEJ/5EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOTvQe0JJ3CzwR8AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2a487972ec9e8ea0010dd211660188d1327218abe23d1c4abbc96d3a9c309885"}
+{"episode": 19877, "episode_seed": 1243919161, "split": "train", "timestamp": "2025-09-15T23:03:10.370184", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1243919161, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4754257175667582, -4.416326014527874, -32.81300035514888])</answer>", "action": "('move', [0.4754257175667582, -4.416326014527874, -32.81300035514888])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4754257175667582, -4.416326014527874, -32.81300035514888])</answer>", "action": "('move', [0.4754257175667582, -4.416326014527874, -32.81300035514888])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG/ElEQVR4nO3bu6tc5QLG4XfNTKKCCKYQFANaSuIfIF6agFoKgo1EsLA0IP4P2looeEEsIraChZ1ilVIttLNRBAMqXogJmJlZp5h9dkLOMXoOe68V8j4PU8ysPcz+2Ozf+r51mWEcxwAdFnMPAJiO4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIau4B3IjG8f//6QH+oiTDkIV9MgdH8H9pGP637XDjE/x/sZt4N5sk2W4zjntb9p9P8Ehy6VLuvjvHj2cc7WU4GIK/Yr3OapVPP80rr2QYrs07+fvnV2+5znuu83L/+XKZixdz+nRefTWXL+fo0an/GtyUBH/Frrfvv88nn8w9lH/74YfkQM8aUM4ZoWvdICfJjhxJkpUdMgfKP9QVu9SPH8+pU1mtMgx7j8Xi2uf7W/7z5e5zrvOGa9529fuvfrlc5sKFPPxwInsOzjBaL0INc8e1ttus13/50wM8W/5PPmp/FQAHwgwPRUwfUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwh28cc/lyttu5xwEZxnGceww1xjHDMPcgqLaaewA3tV3hv/ySjz7KYpHTp+ceEO3M8Idpvc5qlddey0sv5dixfPNN7rzTPM+MHMMfvgcfzF135ddf8957SRzMMyPBH6bVKut1Tp3Ko49mHPPOO/nzzywWsapiJoI/ZItFkpw5k6NH8+23efPNDEM2m7mHRSnBH7LdfP7YY3nooVy6lHPn9o7hTfLMwUm7SYxjPvss587lqafywAN7ewGn7pic4CcndeZjST+Vcdw7dN/Vbj/LHNx4M6FhyE8/5eOPc/58zpzJrbfOPSDqWNJPZbPJcpmzZ/Pcc1ku88UXOXkyieU9U7Kkn8ou7EceyYkT2W7z1lsZBrUzMcFPZbHIep3778/TT2cc8/77+e67jKODeaYk+AntLr8/80zuuy+//ZY33nBBnokJfkLLZdbrnDiRxx/PMOTs2fz4o+aZkuCntVwmyYsv5o47cv583n47w5D1eu5h0ULw01osst3m5Mk8+WTGMe++m59/znLpK3RMw3X4yQ1Dttu8/HJ+/z0vvJBbbnGunsm4Dj+fCxdy++1Jst3ufakODpngZ7V/X70b7JmEiWU+45jtNl99lQ8+yB9/7G2BwyT4mWy3GYZ8/XWeeCLPPpvPP597QFQQ/KyOHcs992S5zOuvJ+6r59AJfia7O23vvTfPP5/NJh9+mC+/TKzqOVxO2s1ts8nFixnH3HZbjhyZezTc5AQPRSzpoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoci/AAQhkahjIiXWAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4754257175667582, -4.416326014527874, -32.81300035514888])</answer>", "action": "('move', [0.4754257175667582, -4.416326014527874, -32.81300035514888])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKA0lEQVR4nO3dTahc9R3H4e/M3CS2jZWm1oXWVjeiJBWhgojvFFTE0IpSxDcqooioRRtzJQppVDS+LAxUSJTGRUoEFypZpHRRdKEigkbEIhRR7EIiRk1tTax3Zk4Xd3JNV1XvnTlXf8+zu2EWZ5HP/P/nd86c02maJkAN3bYPAJgcwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwX8dTdP2EcDXIvivo9NJkqZRPt8wgv8K+v0k2bYt09PZuzedTjqdDAZtHxZ8aZ3GIvXlDAbp9fLee7nwwuzalVWrct99ueCCdLuZmcnU1GjZh8XMCv9ldTrp97NxY3btyne/mzfeyOrVuf76vPlmlixJ02Q4bPsQ4f8R/JfSNOl2k+T003PCCdm3L71eer089lh++cs88ki63XS7mmexs6X/yt55J5s2ZdOmJFm6NJ9/niTnnZeNG3PSScmBGb4dPouQ4L+a2TP5psmzz+aWW/L660nS62UwyGGHZc2arFmTQw5JkuFwtCmAxUPwX9lcyZ99lrvvzqOPZs+eTE2NZvgnn5wHH8zZZycxzGPREfzX1DSjkl96KXfdlT//OTloh3/rrbnxxhx7bAaDdDqWehYLwc9Lvz9a27dsyYMP5t13MzWV4TDDYU48MbfdliuuSA6cCEDrBD9fczG/+WYeeihbtyYHlvpuN5dckrvvznHHJQdtCqAtgl8ATZPBIFNTmZnJzp1ZsyZvvTXayQ8GOeKITE/nt78dfS8Y5tEiwS+YuaV+796sX5/HH8+//vXFMO+ss/LQQzn55MQwj/YIfiEdfAX+r3/N+vV54YUkWbIkMzNZsiTr1uW663LkkYZ5tEPwYzG72u/fn02b8vDDef/9LF2amZk0TU45JdPTueiiLz4GEyP4cZkd4Cd55ZU88ECefDI5MMxbtiyXXZbf/z4/+UlimMcECX6M5oZ5+/fnqaeydm3ee++L39Ifc0zuvDPXXDP6c+52fRgfwY/d3L599+6sW5cnnshnn43O6judXHBB7r8/K1cmB20KYEwEPwkHD/N27MiGDXn11SSjGf7y5Vm/PldfnR/+0DCP8RL8RM2u9nv35oEHsnlzPv54tNQnOeec3H57zj33i4/BghP8pM3F/Pzzue++7NyZHBjmfe97ueaa3HlnfvSjDIejR2jBAhJ8C2Zvtp+ayiefZPv23HFHPvooU1MZDNI0Of74rF+fSy8dfdgMnwUk+NbMjejefjvT03nmmfT7ox3+1FQuuSQbN+anP/2fT8I8Cb5NB6/e27dnw4b8/e/JgSdqHH547r03l16aQw9Nvz96ihbMh+DbNzfDf//93HNPtm7Nvn1Ztiz/+U+SrF6d6emcdlq7x8i3hOAXi7l9+1/+ko0b89xzyYGb8FesyA035Prrc9RRTumZF8EvIsNhmia9Xvbsydat2bBh9Hjc2XddvPRSTjlF8MyLk8JFpNtNr5d+P4cfnrVr8/LLOf/8Ue2/+U1+/vPEw3CZHyv8YnTwRfjNm7NlS3bsyNFHW96ZL8EvXnN5z77fwoie+XN5d/Gaq90tdywUq8ZiZ2FnAfnf9A1geWehCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwY9f02RmZvQ2CWiVN89MkDdF0TZvnhmn2cI//jg7dqTbzZVXtn1AVGeFH6fZd74//HBuuSUrVuStt/KDH1jnaZFz+PH72c9yxBHZuzePP57EyTwtEvw4TU2l388vfpEzzkjT5LHH8vnn6XZjV0VLBD9ms++CvPnmLF2ad9/N5s3pdDIYtH1YFCX4MZtdz888M6eemv378+KLo3N4izxtMLSbiKbJc8/lxRfzq1/lhBNG3wJGd0yc4CdO6rTHln5SmmZ06j5bu+9Z2uDGmwnqdLJnT3buzO7dufnmHHJI2wdEObb0kzIYpNfLtm256qr0etm1K6tWJbG9Z5Js6SdlNuzTT8/KlRkOs2VLOh21M2GCn5RuN/1+jj02F1+cpsmf/pR//CNN42SeSRL8BM1efv/1r3PMMfnnP/PIIy7IM2GCn6BeL/1+Vq7Mueem08m2bfngA80zSYKfrF4vSW66Kd//fnbvzqOPptNJv9/2YVGF4Cer281wmFWrcv75aZr88Y/58MP0en5Cx2S4Dj9xnU6Gw/zud/nkk1x7bZYtM6tnYlyHb8+//53ly5NkOBz9qA7GTPCtmruv3g32TISFpT1Nk+Ewb7yR7dvz6aejf4FxEnxLhsN0Ovnb33Leebn88rz6atsHRAmCb9WKFTnyyPR6+cMfEvfVM3aCb8nsnbY//nGuvjqDQZ5+Oq+9ltjVM16Gdm0bDLJvX5om3/lOlixp+2j4lhM8FGJLD4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8l8Bk5EtntSOlAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG3ElEQVR4nO3cz6tc5R3H8e9zZtJ71dQggougYBc3IKjUxYX4Y2WQtpsKFRfx0rqpFLGu9G9QgnsRwb2CYBT8jYmi2FYtKHGTW5A2mxAKghEkhjvncTH+C3MO+Hm9VsOsHoZ5n+/DmedM670XkGGYewHAdAQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQS/cb1X73MvAqpK8Js2jtVatTb3OqCqBL9pw1A//FBnztT58+Y88xP8pvReV6/Wu+/W3l6dOFFPPdXNeWbXurmzAesP9cqVOvlIvX66Dh2q6v2Lf7c77qgqO3xmY8JvRGs1jnXNNfW3x/rhw321qoNVO/Xsav0+zEXwmzIM1Xvdf6Ldd28bx+q9PjgzfP11DUOtVnMvjlSC35TW6uCgtrbq5MlxuejDUJf+Xy+9aMgzJ8Fv0HJZ41h/emi4664ax2rV3nhz+M9+Xy4NeeYh+A1aD/PDh2vvkb5YVlV98029+qqbdszGXfqN670uf1+/vXP87/+G1ur22+udd+ro0RrHGlxvmZZv3BSOXF9/faxV1WJR587V22/PvSBSmfBT6L2+/bZ2duq776r32t2t996rI0eqd9t7JmXCT6G1uvHG+vsTNY61XNZnn40ffeSkLTMw4aewnuT7+/348bp8ua1Wdc/x8ZNPB+OdiZnwU2iteq9bf9P+8udarfpiUZ/+s334oSdnmZrgJzKO9atD9fDDdcMN64HfTj2zWl8IYDKCn8gw1DjW8bvbH37f1ift/vGv4eOPnbRlUoKfSGu1WtViUXt743XX9qq6/H298PzKrp4pCX4665O2D/xuuO/e6r231j44O3zxeV8u6+Bg7sWRQfDTWZ+0PbSsRx/tW1utWl26VK+83MsT8kzFz3JTG1d19aDu3l19eW7RWt1yS73/fh079vOGHzbKhJ9aG2p7q554cqiqYagLF+q112r9GjbNhJ9B7/Xjj3XbbXXhQvVeOzt19mwdPeqkLRtnrMygtdrerqef/vmk7f5+f8vjNEzChJ/BepJfvFi7u/3ixdZ7HdsZv/xq2N6ee2X80pnwM1gfsLvppnr88RrHvljU+f12+nRV+U2ezRL8PHqvxaL++GC7+eY6OKjW2nOn/NMdG2dLP6fe68qVdfDVx/r19XMviF86wUMQW3oIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8hMEoy84gWMkswAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b368bfc42e3d524bb413e2d61b2cfe9b8c4ef60b87464e46070144e486a36e4d"}
+{"episode": 19878, "episode_seed": 1266739636, "split": "train", "timestamp": "2025-09-15T23:03:11.357895", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1266739636, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.9554027913091, 7.664158897551698, -22.568721591263465])</answer>", "action": "('move', [-25.9554027913091, 7.664158897551698, -22.568721591263465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.9554027913091, 7.664158897551698, -22.568721591263465])</answer>", "action": "('move', [-25.9554027913091, 7.664158897551698, -22.568721591263465])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJD0lEQVR4nO3dT4jU9R/H8ffsrEux0m4rSlDkqVtRxy4FnTqVRkURGRYkZBAepKAQKuzSn1OUGUEQFIkoRoeIbtVFCqKi6CIWCoWHdP+4/tud+R1m2t0s/FnO7I69Hg++DN+ZQf0uztPP5/tnvjba7XYBGYZWegOA5SN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCL43mm3a35+pTcCLkTwvdNoVLOpeQaZ4Hun1apvvuk2326v9NbA3xB8L3Ty3rmzNmyoPXuq2Vx8EQZJo+1z2RNTU3XLLXX4cI2O1s6dtW1bVVW7XY3GCm8YLGGE74V2u0ZH66OP6uab6+TJ2r69nnmmTp9WO4PGCN8jncH86NF67LH67LOqqq1b6403DPIMFCN8jzQaNT9f111Xe/fWpk21dm3ddlv3rbk5h+4ZEEb4nmq1amioTp2qr76q22+vWrIbb6hnAAi+1xbC7sRfVTt31k031YYNf3oXVoIpfa81GtVu19xc9+muXbVjR23aVO+/v/gurBDB90GjUcPD1W5Xu1033FDr19f0dG3eXC+/XPPz3b19WAmm9P00P1/NZn33XW3ZUgcPVlU99VS99FKtXr044YdlJPg+6zR/5Eg9+WR9/HFV1X331e7dNTFhf57lJ/j+6wzmk5O1fXu9805V1a231oEDtW5dVWme5WRW2X9DQ9Vq1dhYvflmPf98NRq1fn2NjS2ervNvLsvFCL9cFnbaP/20bryxrr128ZXOX4Ghnv4T/DJautPeWf/66/rxx3rkke7Re4fx6LPhld6AJEvn8ENDdehQ3X9//fxzHT1azz5brZbDePSbIWXZLYzkw8O1dm1V1XPP1dat1WqpnX4T/Appt2v9+vrkk9q4sapq16564IGanOy+Bf0h+BXSaFSrVWvW1J499fjjVVX799fdd9cvv3Tfgj4Q/MrpnK4bGam3364dO2p4uD7/vO68s779tvsW9JrgV9TCabkXX6zXX68rrqhff60TJ7ovuuSeXnNabgC029VqVbNZ+/bVyEjddZfD9fSJ4AfG3FwND1f9cYnO6dN14EA9+ODiK3DJfIwGxvBwzc93T8612/X007V5cz3xRJ09W0NDpvf0hOAHSbNZQ0PVaNS5c3X4cJ05U2+9VQ89VMeOVbO5eFMN+LcEP5BGRmr//tqypapq376699766afuFAAugeAHUrtdzWbt3l0vvFCrVtWXX9bGjfXFF9VsuiyHS+Gg3aDqXFrfbNa779a2bTU1VevW1auv1sMPdy/Fh3/O52ZQDQ11j9U9+mjt3VvXXFPHjtUPP7gOj0thhB9sC1+tO3iwPvywXnute37eWXr+FcFfDlyHQ4+Y0l8OOmfmzeS5ZEZ4CGKEhyCChyCChyCChyCC57/Mf/NxHrepZtCdV+xfA77AtUguXziP4FkZC912Vv72aee7wud9b+DCDXfuDNa5scDCyuhojYz0dOsvW4KnLzpz6aX1Ln3sZNzp+WIG4bm5OnOmzp7tLkvXZ2bq+PE6caJOnKjjx/+0PjlZv/9eMzP13nt1zz3uG1QlePrkYkput2tmpmZna3a2Tp3qrszO1smT3ZWpqcVlcrK7Mj3dXZ+ZuajNGB6uqame/Ez/BYKnL6an67ffutFOT9f09GKuU1Pdqs9bFl48d+7///6NRjWb1Wx2Lzuu6s7e/7rDf+5cHTnSl5/xciR4+uKDD+qVV2p+vmZn68yZ7nLxB8w7s/2l+wXnWdhXXzA6WmNjNT5e4+M1NlZXX91dHx+vO+6ocgCvqgRPn8zO1qFD/+yXdPYCFg7UdR6bzW69S5eJie7K+Hj36erVNTxczeb5j0t32gVfgqfnOt/lXbOm6o+BetWqv1lGRurKKxcbHh+viYluwAuD88REjY050tZLvi1Hj3WC//772rWrrr++Vq/uzrSvuqrGxrqPY2Pde/Bf+p91AYb0vxI8K6Dz7f6FU3QdF1ihVwRPX7RaNTe3eA3c0ovh3KRrBQkegjgeAkEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+B0ilY71070OOAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKiklEQVR4nO3dfaiedeHH8c952Ay30FaOYtGEnkSUSTDyYbOIxoLIWTo0aj1B/WFRQoJQCDEWhNQfESnNKAgkhyRridYMwaWjkVmTEkKiaVZKLHNmLs9Tf9z372xOU+fvbOe4z+v11znf6z43F2zv872u73Xd1xmZmZkJ0GF0vncAOH4ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEP3dmZjI1Nd87AS9E8HNnZCRjY5pnIRP83Jmezm9+M2x+Zma+9waeh+DnwiDvLVuyYUO2bcvY2KFBWEhGZvy/nBMHDuScc/KnP2XJkmzZkiuvTJKZmYyMzPOOwWHM8HNhZiZLluTHP86qVXnqqVx1Va6+OgcPqp2Fxgw/RwaT+SOP5FOfyh13JMkVV+Tb3zbJs6CY4efIyEimpvLGN+bmm7NpU047LWvXDjdNTlq6Z4Eww8+p6emMjubpp/OrX+XCC5PDTuNN9SwAgp9rs2EP4k+yZUvOPjsbNjxrK8wHh/RzbWQkMzOZnBx+e/31ueaabNqUG288tBXmieCPgZGRjI9nZiYzM3nrW7NyZZ58Mp/4RK69NlNTw7N9mA8O6Y+lqamMjeX++/OZz2TPniT5/Ofz1a9m6dJDB/xwHAn+GBs0/+c/57OfzU9+kiSXXprvfCfLljmf5/gT/LE3mMyfeCJXXZXvfjdJzj0327dn+fIkmud4clR57I2OZno6p5yS667LV76SkZGsXJlTTjl0uc7vXI4XM/zxMnvS/rOf5ayzsmLFoZHBP4GpnmNP8MfR4Sftg6/vvTcPPJCPfWy4em8Zj2NsfL53oMnhx/Cjo/njH7NxY/btyyOP5EtfyvS0ZTyONVPKcTc7k4+P57TTkuTLX84VV2R6Wu0ca4KfJzMzWbkyt9+eiy9Okuuvz2WX5Yknhpte7ltOT8/ZDnJCEvw8GRnJ9HRe+9ps25ZPfzpJbrklF12Uhx4abnpZbzm4IDA5qXyen+Dnz6DOxYuzdWuuuSbj49m1K+vXZ+/e4aaj9K9/5eGHMzqa8fGMjmZiIpOTLvnxLIKfV7OX5TZvzre+lVe9Kn/7W/75z+HgS77lflD1D36QdeuyeXNuvz1//3sWLcr4eJJMTJjwGXJZbgEYnHyPjeVHP8rixfnAB45quX7w2oMHs359du1KkrGxnHde3vnOvOc9WbcuixYNXzZgZbCZ4BeMycnhjDy4IefgwWzfnssvPzTyPwyC37s355yT5FmPxj/11Lz5zTn//Fx66fB5HLMG1wTE30bwC8ng9ptBhV/4QrZuzSc/mW9+M4sXDz+E87/t35/vfS833ZTf/z7/+c+RW5cuzYoVufjiXHZZzjwzJ500HB9c+x8dVX4LwS9IzzyTSy7JrbcmySWX5Lrrsnz5oUOAF/S732Xbttx2Wx56KPv3DwcPf+7GWWflwx/O+96X00/PsmXDwYmJ4R/OUf6JTfAL1cREPve5bN2aJGvW5IYbcsYZLzrPH+7uu3PrrdmzJ/ffn3/8I/m/v4U1+zCetWvz/vfn3HOzalVOPTXJ8FE9Y2Pu8T1hCX5Bmr39dvPmbNmSiYm8/e254YasXfui63mDFcDZ2/meeSa7duWee/KLX+TOO4fz/KJFhx7DddJJufDCnH9+3vWuvPvdh57HlzjJPwEJfqEanF6PjeX738+VV+bAgSxfnq9/PR/96PB3wYuZmsrUVBYvHn67f38eeCC7d2f79vzyl8PB8fFDE/7rXpczzsiaNfnQh7J69bPeysf5ThiCX8BmL9ft3JmPfzyPPpqrr87XvvYST+Zn32OwaD/7E48/nn37smNHtm3LH/7wPJfoly3LypX54AezcWPe9rZDv1us8J0ABL+wzR7b79mTm27KN74xrO3om3turpOT+e1v88Mf5rbb8te/5sCBI39kbCzveEc+8pGsX58VK/LqVw/HJyYyOqr8VyTBvxLM6cdmn/f4/Oc/z/btw4/nP/lkkmHPs5f0163Lhg1ZvTpnnpmlS5Nkenq4hmiF7xVE8K8Qs1P9MXjX2cW5p57KnXdm167s3p3du4evOXyFb8mSvPe9ueCCrFmT884bvmD27gET/sIneJJkairT08ObcJM8+mj27s0992THjuzdOxxctCgTE8Ov3/CGrFqVCy7Ihg05++x52GFeHsFzyHNX+B57LA8+mB07cvPN2bdvOHj4bTyvf33e8pZs2JCNG7Ny5fHeYY6W4Hke09PD6wOzR+n//nfuvTc33pidO/PYY3n66SN/5OSTs3p1Nm3K5ZdnyRJP61qgBM8Lee4K38REfvrT3HJL7rsvDz44LH+waD85mdNPz1135U1v8pd1FijB81IdEf/jj2fnztx1V/bsyX33DQe/+MVce20StS9QgueoHbHC9/DD+fWvc/fdueOObNmSiy46qjuDOK4Ez8v03BW+v/wlr3lNTj55HneKFyF4/r8GK3ym9FcEwTM3jriHh4VJ8FDEWioUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU+S/fkM+dxoYYYgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.9554027913091, 7.664158897551698, -22.568721591263465])</answer>", "action": "('move', [-25.9554027913091, 7.664158897551698, -22.568721591263465])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxUlEQVR4nO3dS4he5R3H8f857zsT26Lioq5sRRcJ2kKViGlUxNoKimgKipeGVKrGVlBr3Jj0IrpTqFS8FGpuxFuDt2TRqrTFdbtqQEG0FNR2oROsYmGSubzndPGGuHIzmcyM/j6fxaxm8Szmy/Oc53nOmabv+wIytMs9AGDpCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCH5x9P1nP2HFEvwi6Lpqmpqfr6ap0Wi5RwOfT/DHqu+rbevNN+vmm+vdd2swqPn55R4TfA7BH5Ouq6p6773atKmefrquvro/8I9+ONQ8K5TgF67vq++raWrbtjpwoCYn6403asPV3V//0g+H1XUe6VlxBL9wTVNtW1V199317bO72dmamGje/8/g+uvr2Wf6tq2m0Twri+CPSdNUVZ1/fr36WnPRBaO5uRoO678fNz+5uXnowX78C+NlP6wEgl8EXVenfaP54yuDa6/p5udrOKy5udq6rbnzzn56utrW1j0rheAXQdtW19XJJ9dzf2jv3tKPmx8M6vHHm02bamqqBgPNsyI0vafMRTI+jW+aevg3/b1bq++btq35+broon7PnubMM6vrjjzzw3IR/GLqu+qr2rb27q1bbqnp6ZqcrNnZWrNm9Oyz7dq1zXIPkHSCX2Tjs7q2rddfr40b64MPxs33p57a79nTXn75kX37RvssB0vMRTZe1XddXXppvfZq/62zRrOztWpVMzXVXnNN7dzRj8/qbN2zLAS/+Mbn86NRfeec5k+vtD/4fj8zU5OTNT1dmzfXA/d349o1z9KzpD+ORqMaDOqjj/p77mmeeqofTjTdqLqu/+mto0ceHZ7wlSMX9WDJCP74Gu/MHz5cD9zfP/hQNU0zGNT8fPfDDc2u3c0pp2ieJSX44+7oadyjj/Q/39JVDcZb9xdcUM88U2eccWQhAEtA8Evh6M783ue62zb3/5serFpVMzO1Zk3t2VPr1tX8fA0GpnqOO5t2S2FcctfVDT9qX9o/OP30mpmpE06ot9+uDRv6/ftqOKzRyJs2HHeCXyJHt+4vu6z27avzzqvDh2tioj78sNm4sf/dE91wWL19e44zwS+p8aX6c8+tl16qK6+subl+OKzpQ80ddzT3/WrUDqp8GI/jyTP8Mhjv0n36ad2zpdu5qwaDtqpGo+62W/vHnhhMTrp1z/Hiz2oZjOf5k06q3z/Zbtvad6Ou62pisn1yR3vddd3UVI3fuoFFZ4ZfNp8d1/222/rL5tChZnzrfv36ZufOOuusmpuriYnlHiVfLoJfZn1XTVvP7+3vuKsOHmwmJmpurlavru3b6+KLazRfg+FyD5EvEUv6Zda0NRrVdTc0zz9fq1cfmdXfeaeuvbZefLEGPobJohL88hsMam6uLrmk2bev1q+vubmanKyDB+umm7onHu3GH8P0pg2LQvArwsREzc/X2WfX/v111VU1O1sTE3XocHvXlrrv1934BXsfyeLYeYZfQcbbeLOzdfvPul27m7ZtmqZGo27z5ubhh5sTT3TrnmNlhl9B2rb6viYna+eu9hf39tX3o1ENBu327c2NN9b7//Z/rDhWZviVaDzVP/5Yf+/Wmp4+snW/dm2/Y0edc05jnmfBBL8S9X2NRjUc1ssv1+2319RUjd+uO/2b3e7d9b1LW1fxWBjBr1BHm//b3+vHG7t//qtZtaqZmamvfbVeeLGuuML1WxbCn8wK1TQ1GFTX1XfX1Wt/bted183MVFV9/dQ67TQn8yyQGX6lG38D6+OPa+PG/sCB5oUX6sILbdezQIL/Ahg3/8kn9dZbtX69xTwLJ/gvhqPfulQ7x8KbGV8M49u1fW8lzzExw0MQq0MIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8n+dLSF0CtADTwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxUlEQVR4nO3dS4he5R3H8f857zsT26Lioq5sRRcJ2kKViGlUxNoKimgKipeGVKrGVlBr3Jj0IrpTqFS8FGpuxFuDt2TRqrTFdbtqQEG0FNR2oROsYmGSubzndPGGuHIzmcyM/j6fxaxm8Szmy/Oc53nOmabv+wIytMs9AGDpCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCH5x9P1nP2HFEvwi6Lpqmpqfr6ap0Wi5RwOfT/DHqu+rbevNN+vmm+vdd2swqPn55R4TfA7BH5Ouq6p6773atKmefrquvro/8I9+ONQ8K5TgF67vq++raWrbtjpwoCYn6403asPV3V//0g+H1XUe6VlxBL9wTVNtW1V199317bO72dmamGje/8/g+uvr2Wf6tq2m0Twri+CPSdNUVZ1/fr36WnPRBaO5uRoO678fNz+5uXnowX78C+NlP6wEgl8EXVenfaP54yuDa6/p5udrOKy5udq6rbnzzn56utrW1j0rheAXQdtW19XJJ9dzf2jv3tKPmx8M6vHHm02bamqqBgPNsyI0vafMRTI+jW+aevg3/b1bq++btq35+broon7PnubMM6vrjjzzw3IR/GLqu+qr2rb27q1bbqnp6ZqcrNnZWrNm9Oyz7dq1zXIPkHSCX2Tjs7q2rddfr40b64MPxs33p57a79nTXn75kX37RvssB0vMRTZe1XddXXppvfZq/62zRrOztWpVMzXVXnNN7dzRj8/qbN2zLAS/+Mbn86NRfeec5k+vtD/4fj8zU5OTNT1dmzfXA/d349o1z9KzpD+ORqMaDOqjj/p77mmeeqofTjTdqLqu/+mto0ceHZ7wlSMX9WDJCP74Gu/MHz5cD9zfP/hQNU0zGNT8fPfDDc2u3c0pp2ieJSX44+7oadyjj/Q/39JVDcZb9xdcUM88U2eccWQhAEtA8Evh6M783ue62zb3/5serFpVMzO1Zk3t2VPr1tX8fA0GpnqOO5t2S2FcctfVDT9qX9o/OP30mpmpE06ot9+uDRv6/ftqOKzRyJs2HHeCXyJHt+4vu6z27avzzqvDh2tioj78sNm4sf/dE91wWL19e44zwS+p8aX6c8+tl16qK6+subl+OKzpQ80ddzT3/WrUDqp8GI/jyTP8Mhjv0n36ad2zpdu5qwaDtqpGo+62W/vHnhhMTrp1z/Hiz2oZjOf5k06q3z/Zbtvad6Ou62pisn1yR3vddd3UVI3fuoFFZ4ZfNp8d1/222/rL5tChZnzrfv36ZufOOuusmpuriYnlHiVfLoJfZn1XTVvP7+3vuKsOHmwmJmpurlavru3b6+KLazRfg+FyD5EvEUv6Zda0NRrVdTc0zz9fq1cfmdXfeaeuvbZefLEGPobJohL88hsMam6uLrmk2bev1q+vubmanKyDB+umm7onHu3GH8P0pg2LQvArwsREzc/X2WfX/v111VU1O1sTE3XocHvXlrrv1934BXsfyeLYeYZfQcbbeLOzdfvPul27m7ZtmqZGo27z5ubhh5sTT3TrnmNlhl9B2rb6viYna+eu9hf39tX3o1ENBu327c2NN9b7//Z/rDhWZviVaDzVP/5Yf+/Wmp4+snW/dm2/Y0edc05jnmfBBL8S9X2NRjUc1ssv1+2319RUjd+uO/2b3e7d9b1LW1fxWBjBr1BHm//b3+vHG7t//qtZtaqZmamvfbVeeLGuuML1WxbCn8wK1TQ1GFTX1XfX1Wt/bted183MVFV9/dQ67TQn8yyQGX6lG38D6+OPa+PG/sCB5oUX6sILbdezQIL/Ahg3/8kn9dZbtX69xTwLJ/gvhqPfulQ7x8KbGV8M49u1fW8lzzExw0MQq0MIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8n+dLSF0CtADTwAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxUlEQVR4nO3dS4he5R3H8f857zsT26Lioq5sRRcJ2kKViGlUxNoKimgKipeGVKrGVlBr3Jj0IrpTqFS8FGpuxFuDt2TRqrTFdbtqQEG0FNR2oROsYmGSubzndPGGuHIzmcyM/j6fxaxm8Szmy/Oc53nOmabv+wIytMs9AGDpCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCH5x9P1nP2HFEvwi6Lpqmpqfr6ap0Wi5RwOfT/DHqu+rbevNN+vmm+vdd2swqPn55R4TfA7BH5Ouq6p6773atKmefrquvro/8I9+ONQ8K5TgF67vq++raWrbtjpwoCYn6403asPV3V//0g+H1XUe6VlxBL9wTVNtW1V199317bO72dmamGje/8/g+uvr2Wf6tq2m0Twri+CPSdNUVZ1/fr36WnPRBaO5uRoO678fNz+5uXnowX78C+NlP6wEgl8EXVenfaP54yuDa6/p5udrOKy5udq6rbnzzn56utrW1j0rheAXQdtW19XJJ9dzf2jv3tKPmx8M6vHHm02bamqqBgPNsyI0vafMRTI+jW+aevg3/b1bq++btq35+broon7PnubMM6vrjjzzw3IR/GLqu+qr2rb27q1bbqnp6ZqcrNnZWrNm9Oyz7dq1zXIPkHSCX2Tjs7q2rddfr40b64MPxs33p57a79nTXn75kX37RvssB0vMRTZe1XddXXppvfZq/62zRrOztWpVMzXVXnNN7dzRj8/qbN2zLAS/+Mbn86NRfeec5k+vtD/4fj8zU5OTNT1dmzfXA/d349o1z9KzpD+ORqMaDOqjj/p77mmeeqofTjTdqLqu/+mto0ceHZ7wlSMX9WDJCP74Gu/MHz5cD9zfP/hQNU0zGNT8fPfDDc2u3c0pp2ieJSX44+7oadyjj/Q/39JVDcZb9xdcUM88U2eccWQhAEtA8Evh6M783ue62zb3/5serFpVMzO1Zk3t2VPr1tX8fA0GpnqOO5t2S2FcctfVDT9qX9o/OP30mpmpE06ot9+uDRv6/ftqOKzRyJs2HHeCXyJHt+4vu6z27avzzqvDh2tioj78sNm4sf/dE91wWL19e44zwS+p8aX6c8+tl16qK6+subl+OKzpQ80ddzT3/WrUDqp8GI/jyTP8Mhjv0n36ad2zpdu5qwaDtqpGo+62W/vHnhhMTrp1z/Hiz2oZjOf5k06q3z/Zbtvad6Ou62pisn1yR3vddd3UVI3fuoFFZ4ZfNp8d1/222/rL5tChZnzrfv36ZufOOuusmpuriYnlHiVfLoJfZn1XTVvP7+3vuKsOHmwmJmpurlavru3b6+KLazRfg+FyD5EvEUv6Zda0NRrVdTc0zz9fq1cfmdXfeaeuvbZefLEGPobJohL88hsMam6uLrmk2bev1q+vubmanKyDB+umm7onHu3GH8P0pg2LQvArwsREzc/X2WfX/v111VU1O1sTE3XocHvXlrrv1934BXsfyeLYeYZfQcbbeLOzdfvPul27m7ZtmqZGo27z5ubhh5sTT3TrnmNlhl9B2rb6viYna+eu9hf39tX3o1ENBu327c2NN9b7//Z/rDhWZviVaDzVP/5Yf+/Wmp4+snW/dm2/Y0edc05jnmfBBL8S9X2NRjUc1ssv1+2319RUjd+uO/2b3e7d9b1LW1fxWBjBr1BHm//b3+vHG7t//qtZtaqZmamvfbVeeLGuuML1WxbCn8wK1TQ1GFTX1XfX1Wt/bted183MVFV9/dQ67TQn8yyQGX6lG38D6+OPa+PG/sCB5oUX6sILbdezQIL/Ahg3/8kn9dZbtX69xTwLJ/gvhqPfulQ7x8KbGV8M49u1fW8lzzExw0MQq0MIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8n+dLSF0CtADTwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f88f241e23093341a428d96fa277ba219bc61d84f29502b66dcbddb2439e95ff"}
+{"episode": 19879, "episode_seed": 2066216615, "split": "train", "timestamp": "2025-09-15T23:03:12.006707", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2066216615, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.760319262881165, -0.6890693656197847, -34.18537322115041])</answer>", "action": "('move', [2.760319262881165, -0.6890693656197847, -34.18537322115041])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.760319262881165, -0.6890693656197847, -34.18537322115041])</answer>", "action": "('move', [2.760319262881165, -0.6890693656197847, -34.18537322115041])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.760319262881165, -0.6890693656197847, -34.18537322115041])</answer>", "action": "('move', [2.760319262881165, -0.6890693656197847, -34.18537322115041])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHC0lEQVR4nO3dT3LU1hrG4U9qnARs3BhfbMgwVdlAFpDVsJwsMrmDi/8R3O6i7MTdrQykgDNXR6r7Pk8xED06Vc2vvmPpyDRd1xWQoZ16AcC/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPDsV9dNvQKeEDz71TRTr4Annk29AP6fPTzUw0MdHAx/xD85E569eHysqvrll/rhh/r553r/vn7/vcoOf2omPHv04UN9+lSfPtX1dX377dSrwYRnH7qu2raqar2upqmmqeNlHR3VdmtXPzHBsxeLRT0+1u1tdV11XR0fbst+fgYEz/j6sO/u6u5u+ODtm92UC+Jvgmdf7u7q9ra/bM6/X5RHdDMgeMbXT/j1ular4ZPzd/6lzYKvgfF92dKvVl1VtW29fVtlws+A4NmX9e12tdpVVdvW2dnUq6GqBM8+9BN+ddfsdtW21bZ1fl5lws+Agzfsy2rdVnVN83VLz+RMeMa3WFRVffxYVU1/CMeEnwnBM77+mN3Hj1VVu10dHdXR0bQrYiB4Rtb/AP/4OARfZT8/I4JnL+7v6+ZmuD4/c8xuLgTPXjw8PJnwTt3Mhm+CkfVb+vv7urkZ3pWxpZ8PwbMX95+76w/b/ra84OdD8OzFw0O3/jw8n+ufyXk3dg4Ez158vm93tXgaPHMgeEbWb+Ovr6s/dVNV795NuiCeEDx7cXk5XDS1PXk15Up4SvCMrJ/wV1dVVZtNnRx3B8/8+D4Xgmd8XTdM+N2uzr5fPPvGGfq5EDzj22y+bunfnDUHB5OuhicEz/g2m2FLX1XnZyX4+RA8o+qq+gn/Ydt/cH4+BO/d2DkQPGPq785tN93F/3btoqrqzZvhbVnmwFfB+P78s1l9frZoq5y6mRnBM77rm6pq+j18/+srd16QnQfBM76Li6phe787edWVg/SzIXjG1we/3VbT7A5faH1GBM/4+uB32zp51b44bMot+tnwa6oZXx98VZ3+p33xYtKl8E8mPOO7vBy28aen9VzwcyJ4xndxMezgX7+uw8MqW/rZEDzj+7qlP63nzyddCv8keMb35SD96WkdHHgmNyOCZ0xNU+t1/fHH8NfXr6uG53MTLoqvBM9o+kl+cfGl8M6pm7kRPKPpw768rO22v94tXzpSOy+ewzOyq6vabKqqDhbN8lWVW/RzYsIzmqcTvqpeLtvlidbnRfCM7PKy64M/Pq7l0rnaebGlZzT9hL++6vo3Y5fLWi6rBD8ngmc0ffC//bftL777bgie+RA8o+n/Y6n37+unn+rXX+vHH+vlyyoTfk6azkNSiOGmHQQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5C1LwCtKmHcM8AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3ee618a6b66a5d63920fd2aff40a8a60fe48c3c079de439601b454a18f1a9787"}
+{"episode": 19880, "episode_seed": 435123665, "split": "train", "timestamp": "2025-09-15T23:03:12.646417", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 435123665, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.3760547960673253, -1.793239680097378, 32.50946681367028])</answer>", "action": "('move', [3.3760547960673253, -1.793239680097378, 32.50946681367028])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIFklEQVR4nO3dT4iU9QPH8c/MahFIlEFRVNK1Q6CJXU2EpKLMICgJ8mAQFHSI6NC5KAQtghA61aGTRHoKwmudovDQn4OXoBAPhhhm+2d+h9m2/e3qBkm6PJ/Xi2WYfwzPzux7v9959rvPjCaTSYAO4+u9AcC1I3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngosuF6bwCLLlzIxYuZmclotHiaLJ5OXen81Vy80k1LG8DACH69eOutvP32yivH48X+x+Pkrw7H48zMLF5cusNo9PeZtS+Ox39/Lb+49MgLC3n99ezefa2fAa4Bwa8X43E2bsxolMkkk8n/3bSwkPn5JJmdXbxmxR3Wvvgv7N+/+DjG+YER/Hpx7tzfPcN/RPDrxfPP54EHMplkYWHxa3p+jWuWLs7PX/6my9557cefTDI7my1bklXv8BmA0eTq53+sM9OXdOmFXf4eYflNa5zeeGM2GAuGSPDrxYq37lcaXY26XA3BD9NVvqp+rQyVedswKZbLstIOiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggekqz6JJCBclx6SNJyKH/BU28yyfHjOXs2jz2WO+7IeMjT3iF/b/APpnP4c+fyyis5eDAff5zxOAsL13uz/kOCp9h0Gn/sWH7+ObffngcfTK76c/nWN8HTbXY2hw5lNMrDD2fnzszPm9LDEE2n7keP5qefsmlTXnghGzZkMhn23jvB02o6dT95Mkkeeih79mR+PjMz13ej/mv20tNq2vYHH2T79mzfvnjloIf3JKPJoHdRwBVNf/KHXvgKpvS0Go0Wa5+dHfaf4pYTPGWmA/v583n11Rw5kkuXsnHjsPfML+c9PGWm++G//jrvvZckW7bkqacGv3N+ieApMx5ndjYffZTRKDt2ZOfO671B11TLTAaSv/4l7ptv8vnnmUxy8GBuvTULCyXDe4zwdJmG/f77+fPPbN2aRx8d9kLa1Yzw1Ji2fepUjh1Lkueey513Dn4t7QpGeGpM5/Pvvpu5udx/f555JpNJVe0xwtNi2vaZM/nii8zPZ9++3Htv5ubagjfC02TTphw5kpMn8+KLSbKh7uff0loo0jWfgczPlxyv8rIEz9BN18n/8EPeeSc//pikZ13daoKnwMJCjh/PG2/kkUdy9mzGYyM8DNF05/yvv+bo0STZuzebN9fWHsEzcNOp+2ef5fTp3HZbnn02N9xgSg8DNZnkwoUcPpzRKE8+mW3b2pbWrdD7nTN805H8k09y+nRuvjn792fjxub5fATPwF28mA8/zGiUXbuya1fDYSrXJngGan4+o1E+/TSnTmU8zksvJdV/kJuqW1pIi9Eok0m2bs3LL+e337J7dyaTwrW0K1hay3AtjefnzuWWW5K6Y9SuJniGaPnUvX4av5z38AzOtPBvv82JEzl/vnnl/GqCZ1imtf/xR958M088kcOHMx4b4ZcInmGZDuZffZUvv0ySe+5J0vM5E/9I8AzLeJy5uRw9mkuXsmNH9u693hu0vgieAZkO7999t3iYygMHsnlz+VraFTwRDM6hQ5mby7Ztefxxu+hXEDxDMf08ie+/z4kTmZnJvn25++7Cw1SuzXPBUEzn86+9lt9/z3335cCBLCxYWreCp4OhmE7dn346v/ySPXty112ZmxP8ClbaMThnzuSmm7Jpk8n8aoJnWOylW5NfgQzL9J/kDGNX4B0Og2OEvzIjPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5H50zzfjQqShJAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.3760547960673253, -1.793239680097378, 32.50946681367028])</answer>", "action": "('move', [3.3760547960673253, -1.793239680097378, 32.50946681367028])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.3760547960673253, -1.793239680097378, 32.50946681367028])</answer>", "action": "('move', [3.3760547960673253, -1.793239680097378, 32.50946681367028])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIiUlEQVR4nO3d38vedR3H8ffnuu7F5lBiP5q/8EA8yDDzV2kODaeYaIUnajaiEHdgKdqBQf0FUaEGJSWyOmlYlmyQYhrVkVBi6ebm2AQdNs9ckKXTruv76eC6sTIcnrjl9/V4HN1c98n3urmf1/v783O13nsBGSbHegOAo0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwUL3XMBzrjTgqWu/9WG8DcJSY8ERbzLt9++qBB471phwVgidaa9V73XN337y5Lv5k7dgx8n17u/Tk6r16r/3762Nnzd+YTatq48Z6/PFatepYb9l7xoQnV2s1mdQ9dw9vzKZLS9Vq+OY3+qpVNeIhKHiiHThQ27bVpNVsVpde2i65pFUJHkZnPq+quus7w99enbRJVQ1bttTxJ9R8XpPxZjHedwbvbBhqMqkXX6xfbm+t1XxeGze2T1/Veq/WjvXGvZcET6JhqNbqvh8OBw/WZFIrVvQbb+jr1tVsNubxXoIn0DDUdFovvVS/eGhS1ebz+siZdf2Nk8Xr4yZ44iz227dtq/37l0/U3/D5Wr9ueT9/3FyHJ8ui6oMH6+qr+86drbU65ZTas6dWr67WRn4AXyY8mR55uO/cWUtL1Xvdcksdf3xE7WXCE2Xxz37oUF1+ed/5TGuTWvPBYe++yZo1EbWXCU+a1uqxx+qZZ2ppRQ1Dv+Nrbe3alNrLhCfNbFbnnTPs2j2ZTGv9uuGJJyann16jv/z+FhOeFIvRtn177drdlpZqmPebbmqnnRZUewmeHIvgv/2tobU2n9dJJ9V119XS0sifh30bwRNhcQvdgz/vu3ZPqqr3uvbaOvfcNu475/9X0nsl1WK2Hz5c9/2oHz7cq2r9uv7lLy3/Nmd/vgRPgtmslpbq8cfrD09OJpPWe7/iivrEhW0+H/+9tG8jeEau95pO6/XXa9u2evXVqqrVq9utt475ofcjEDwjtzhK/+OTtX17Tac1DLVpU128sS0+CNIInjHrvZaWajarn2zthw9XVbVWd965/EMgN94wZovn3p9+ui76+HzWp73XlVf2Rx+NbL2qTHjGbTKp1ureHwxvzqetVe/D1+/Mrb1MeEZscQvd88/X2R/tb/6zzee16bLh4UfaypXjX8rqnZjwjNZilt313eH1w621qhpuu62tXNkW+/mZBM84LWb4Cy/Uzx5srdVsVpdd1i79VAvfoxU847QY49+7Zzh0qCbTWvGB/sXNfc2a8S9TeWTBb53xWqxjdeBAPbR90lqbz+r8c+pz10YsU3lkgmeEFuP9/vvrLy9VVa1Y0a+7vq9dO/IvmXg3nKVnbBZVHzhQ11xTe/ZUa3XGGfXUU3XccenjvUx4Rqm12r69nntueZnKLVuWl6nEhGdUFifnX365rrqqP/tsa602bKi9ewW/zIRnbHqvx35du3bVisUylXfUCSeofZkJz3gsxvtrr/Xzz+37np9U1YfWD0/9aXLyyVkL1x2BCc/Y7NjR9u5r02kNQ//KV9uJJ6r930x4xmMR9tlnzXc/N+29Tjqx/+a3deaHW8KXxr1L/gyMxHxerdW2n/Y9excPxtUXNrdF7cb7WwTPGCwvU/lG3fv9YT7vw1AbNtTmG4cq+/P/RfCMwWxW02n9akf/867pYpnKz35mOOe8SeAylUcmeN73FqvT/f3vtfXH9do/elWtWdNuvrn1HrpS5REInve93msyqVdeqVf+2qraMNSmTf3Ci9p8XktLx3rj/s8Inve9xRn4U0+t3/+utm6tCy6o229vb73Of3JZDoL4DGRUHLcfmUMcRsUVuCMz4SGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIvwBwseQ6PdkwAAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a3b0733686771d66c5799d5ff06a3e398413ec2faabe3e68ef51b14e8a9aaa24"}
+{"episode": 19881, "episode_seed": 275974113, "split": "train", "timestamp": "2025-09-15T23:03:13.287962", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 275974113, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.3210419643937907, 4.275184235030797, -0.6736908411989949])</answer>", "action": "('move', [-3.3210419643937907, 4.275184235030797, -0.6736908411989949])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.3210419643937907, 4.275184235030797, -0.6736908411989949])</answer>", "action": "('move', [-3.3210419643937907, 4.275184235030797, -0.6736908411989949])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4UlEQVR4nO3dzW9UVQPH8d+dvmN5SSgQMBIxYgiJio21SrApryoiJmDVjRv9D4wrV7pz48KF/4IJGGSBlRBqDKaAoCk2GEmQSCFKIyAYQo3t9M55FucKPPDwLLyV6Zzf97MikzDcSfjOOffce+5kIQQB8FCp9wEAuHcIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgpLneBwD8m6pVhaBKRc38V5ekLIRQ72MAcI8wpUe68lxvv63t2/XRR5JUq9X7gOqPeQ5SND2tpiZ9840+/lhTU9q2rd4HNFswwiNFISjLdOCApqe1dKneeEOSKvxvJ3ikJwS1tOj6dR05ohD03HPq6Kj3Mc0WBI/k5LkkjYxoZEQh6LXX6n1AswjBIy3xIpykoSFdvar779eTTxavg0U7pCbLij+89Zba2zVnjubP/6/XvXEdHskJQXle3GkTV+/wN4IHjHAOj+RUq9q3T+Pj9T6O2YjgkZA4XR0d1c6devVVff+99PeiPSQRPBK0Z4+qVV28WCzX4RYEj4RkmWo1ffaZJG3erBUrVK2qqanehzWLEDxSUaspBB06pLNn1damTZskrsbdjuCRilpNWabdu1Wt6uGHtX69ajWG99sQPJIQb7C7dk3Dw5K0bp3mzy++AnALgkcS8lyVioaGdPq0mps1MKAQGN7vxK21SEJ8uEXcLbNihfr7Gdv/J+60QyriXbRHj+rSJW3fXv794glBYt8bBI8khFA85WZGn3JRqxULf8lkzzk8kpBlamkpap+JZ9fluX75pXjabTK1i+DR8OIU9cIFvfeeBgf111+qVMrsfo9fF2NjevNN9ffrgw/00083/51Gx6IdGlw8dR8d1fvv6777dPiwHn+8zK7YWk2Vik6c0MGDknTokBYv1sqViWy0JXg0uEpFtZoOHlSWac0aLV0q/fMb7OK1vDzX8LCyTM3Nam1N6p49pvRoZHGefeWK9u5VCHrxRS1eXHLynWUaH9fgoCRVq+rt1fLlxesJIHg0vpERjY1p7lz19kpSnpcZ4SWdOqUzZ4pH5rz++kwd5axA8GhkMezdu5Vl6ulRT49U6vnz8fxg//5i311bmzZulFJZsRPBo+H9+ae++EIh6JlnNHeuqtV/HHysemJCe/YUz8Xr79eyZTN5sHVH8GhY8QLanj0aH9e8edqyRSp7qh2CRkZ0/rxaWiRpxw61tyeyPh+xSo8GV63qsce0bJnWri2/YSbur5WU55ozR089JSmpXbbcWovG98cfunBBq1cX19D/qRA0NaVVqzQ2JkkvvaRPPlFnZ8l3nV0Y4dHI4qn2ggVasEAqtVwXqz58WBcuKMsUgvr61Nmp6eliuT4NqXxxwVO8OUYzcP98fINPP1W1KkldXXr66XQW528geDSg+OTpH3/U1q165x1dulRyzh3P/ScndfiwQlAIeuKJ4jfpkjl7jwgeDSgOx0ePav9+ffihrlyRSl0rj18gX36pc+ckKcvU26v2dlWr6azPRwmdncBEHI6npor73Tdu1MqVUqkLcvHC29CQrl2TpIUL9fzzUnLDuxjh0Xji8trPP+urrxSCXnml/Hy+uVlXr+rbb4tXHnxQPT1JLc7fkNwHQvLiSH78uM6d09y56uuTSi3axVvvv/tOJ04Ur6xfr9bWNJ95y5QeDSU+jjrPdfKkWlq0aZMeeEAqNZ+Pf/XoUU1MqFJRa6sGBqQU5/Pixhs0qhA0NKR584odciXeJst0+bJ27tTXX0vSqlU6dWpmjnEWYoRHY8oybd5c/m1i8GfO6Nix4tFYO3bcfD09nMOjYcUr5uXEqoeHNTmppiaFoJ07Z+DQZi1GeDSs0kNwHMYnJrR3ryRNT2v1aq1aNSPvPUsxwsPd+fM6dkzNzQpBAwPq6Kj3Af2bCB6+4iaZzz8v7rSrVLR5c/Gsm1QRPKzd2AA/Pa3u7uKevYQRPEzF9b7TpzU6WtxRt2WLFi1K8wa7G9L9ZMD/dWM/bJ4rBLW1ae3axOfzYpUe5gYHi8IffVTd3VKph2g0gKQ/HHAXcd4+OqozZ4pXenu1dGmZZ942hqQ/HHAXccPM4KAuX5akjg7199f5kO4NgoeduAEnbqiPS3cPPaT+/vLPvG0ABA878bHTP/ygkyeLV7q71dWlPE98Pi+Ch6G4Sjc8rF9/VZaprU0vv1wM+8ljlR5eQlBLiyYnb87nFy7UCy8ke/P8bQy+04BbxOH99OniiXhZpg0bNGdOms+3uRPBw0usemRE4+PFhpn4g9AOtYvgYSWeqE9O6sABScpzdXVp3TqJ4IFUXbyoffuKn4Lftk3z5tX7gO4hgoeRuB/2yBFdv178RNWOHcWLJggeXrJMu3ZJ0tSUli3TmjVSqR+taTAEDy+//66DB1WpKMu0dauWLJFsTuBF8PARh/EDB3T9ejGN37BBra3FffUmCB4u4hX4XbuKTe/LlxfzeSvcaQcLcWPMb7/p+PFiqO/r0yOPJP58mzs5fVbYa2/Xu+/q2We1ZIn6+tTU5DWfFz81BU9nz6qzU4sWJfsLM3dD8PASz+StpvG3Ing4iltlrMb2iOABI64zG8ASwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gPLUIexenjYVQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.3210419643937907, 4.275184235030797, -0.6736908411989949])</answer>", "action": "('move', [-3.3210419643937907, 4.275184235030797, -0.6736908411989949])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4UlEQVR4nO3dzW9UVQPH8d+dvmN5SSgQMBIxYgiJio21SrApryoiJmDVjRv9D4wrV7pz48KF/4IJGGSBlRBqDKaAoCk2GEmQSCFKIyAYQo3t9M55FucKPPDwLLyV6Zzf97MikzDcSfjOOffce+5kIQQB8FCp9wEAuHcIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgpLneBwD8m6pVhaBKRc38V5ekLIRQ72MAcI8wpUe68lxvv63t2/XRR5JUq9X7gOqPeQ5SND2tpiZ9840+/lhTU9q2rd4HNFswwiNFISjLdOCApqe1dKneeEOSKvxvJ3ikJwS1tOj6dR05ohD03HPq6Kj3Mc0WBI/k5LkkjYxoZEQh6LXX6n1AswjBIy3xIpykoSFdvar779eTTxavg0U7pCbLij+89Zba2zVnjubP/6/XvXEdHskJQXle3GkTV+/wN4IHjHAOj+RUq9q3T+Pj9T6O2YjgkZA4XR0d1c6devVVff+99PeiPSQRPBK0Z4+qVV28WCzX4RYEj4RkmWo1ffaZJG3erBUrVK2qqanehzWLEDxSUaspBB06pLNn1damTZskrsbdjuCRilpNWabdu1Wt6uGHtX69ajWG99sQPJIQb7C7dk3Dw5K0bp3mzy++AnALgkcS8lyVioaGdPq0mps1MKAQGN7vxK21SEJ8uEXcLbNihfr7Gdv/J+60QyriXbRHj+rSJW3fXv794glBYt8bBI8khFA85WZGn3JRqxULf8lkzzk8kpBlamkpap+JZ9fluX75pXjabTK1i+DR8OIU9cIFvfeeBgf111+qVMrsfo9fF2NjevNN9ffrgw/00083/51Gx6IdGlw8dR8d1fvv6777dPiwHn+8zK7YWk2Vik6c0MGDknTokBYv1sqViWy0JXg0uEpFtZoOHlSWac0aLV0q/fMb7OK1vDzX8LCyTM3Nam1N6p49pvRoZHGefeWK9u5VCHrxRS1eXHLynWUaH9fgoCRVq+rt1fLlxesJIHg0vpERjY1p7lz19kpSnpcZ4SWdOqUzZ4pH5rz++kwd5axA8GhkMezdu5Vl6ulRT49U6vnz8fxg//5i311bmzZulFJZsRPBo+H9+ae++EIh6JlnNHeuqtV/HHysemJCe/YUz8Xr79eyZTN5sHVH8GhY8QLanj0aH9e8edqyRSp7qh2CRkZ0/rxaWiRpxw61tyeyPh+xSo8GV63qsce0bJnWri2/YSbur5WU55ozR089JSmpXbbcWovG98cfunBBq1cX19D/qRA0NaVVqzQ2JkkvvaRPPlFnZ8l3nV0Y4dHI4qn2ggVasEAqtVwXqz58WBcuKMsUgvr61Nmp6eliuT4NqXxxwVO8OUYzcP98fINPP1W1KkldXXr66XQW528geDSg+OTpH3/U1q165x1dulRyzh3P/ScndfiwQlAIeuKJ4jfpkjl7jwgeDSgOx0ePav9+ffihrlyRSl0rj18gX36pc+ckKcvU26v2dlWr6azPRwmdncBEHI6npor73Tdu1MqVUqkLcvHC29CQrl2TpIUL9fzzUnLDuxjh0Xji8trPP+urrxSCXnml/Hy+uVlXr+rbb4tXHnxQPT1JLc7fkNwHQvLiSH78uM6d09y56uuTSi3axVvvv/tOJ04Ur6xfr9bWNJ95y5QeDSU+jjrPdfKkWlq0aZMeeEAqNZ+Pf/XoUU1MqFJRa6sGBqQU5/Pixhs0qhA0NKR584odciXeJst0+bJ27tTXX0vSqlU6dWpmjnEWYoRHY8oybd5c/m1i8GfO6Nix4tFYO3bcfD09nMOjYcUr5uXEqoeHNTmppiaFoJ07Z+DQZi1GeDSs0kNwHMYnJrR3ryRNT2v1aq1aNSPvPUsxwsPd+fM6dkzNzQpBAwPq6Kj3Af2bCB6+4iaZzz8v7rSrVLR5c/Gsm1QRPKzd2AA/Pa3u7uKevYQRPEzF9b7TpzU6WtxRt2WLFi1K8wa7G9L9ZMD/dWM/bJ4rBLW1ae3axOfzYpUe5gYHi8IffVTd3VKph2g0gKQ/HHAXcd4+OqozZ4pXenu1dGmZZ942hqQ/HHAXccPM4KAuX5akjg7199f5kO4NgoeduAEnbqiPS3cPPaT+/vLPvG0ABA878bHTP/ygkyeLV7q71dWlPE98Pi+Ch6G4Sjc8rF9/VZaprU0vv1wM+8ljlR5eQlBLiyYnb87nFy7UCy8ke/P8bQy+04BbxOH99OniiXhZpg0bNGdOms+3uRPBw0usemRE4+PFhpn4g9AOtYvgYSWeqE9O6sABScpzdXVp3TqJ4IFUXbyoffuKn4Lftk3z5tX7gO4hgoeRuB/2yBFdv178RNWOHcWLJggeXrJMu3ZJ0tSUli3TmjVSqR+taTAEDy+//66DB1WpKMu0dauWLJFsTuBF8PARh/EDB3T9ejGN37BBra3FffUmCB4u4hX4XbuKTe/LlxfzeSvcaQcLcWPMb7/p+PFiqO/r0yOPJP58mzs5fVbYa2/Xu+/q2We1ZIn6+tTU5DWfFz81BU9nz6qzU4sWJfsLM3dD8PASz+StpvG3Ing4iltlrMb2iOABI64zG8ASwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gPLUIexenjYVQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7139cc60aa6e39547e5505762712aa2b194c0194e1805c26b1b75d78ef615fd3"}
+{"episode": 19882, "episode_seed": 1560360528, "split": "train", "timestamp": "2025-09-15T23:03:14.268647", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1560360528, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.742722654736767, 11.96357338227859, 10.98752749875672])</answer>", "action": "('move', [5.742722654736767, 11.96357338227859, 10.98752749875672])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.742722654736767, 11.96357338227859, 10.98752749875672])</answer>", "action": "('move', [5.742722654736767, 11.96357338227859, 10.98752749875672])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.742722654736767, 11.96357338227859, 10.98752749875672])</answer>", "action": "('move', [5.742722654736767, 11.96357338227859, 10.98752749875672])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGsUlEQVR4nO3cwYtd5R3H4d85596JiMKMK1dBWv8OdyW1LlpbxEWVSQgYsFAhXbgwAddCkhayEKHEbTqVECQ7QxVctKXtMja2UOPWxbgd557zurjTiUKkSROc3Pk+z/Iyi/cuPud939+9c7vWWgEZ+oNeAPD9ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEmR30AuDgtVaLRbV2+5W+r9lhjKNr33yXwH9NU/WH7gR8GB9icNeWVX/xRZ09W7du1SOP1DRVa9Mvfl6bx/vWqrVDlb0dnnTTVItFffxxnTxZn3229+LafDpzps6c7buuxrGG4SBX+AAJHvZsb9fJk+3KlZrPu3GsaWrHj9eFC936ei0Wh+RKf4gOK3AfWquNjdra6n79q2l3t01TDUP37rvd8z9rn95ss1ktFge9xAdB8FBV1XVVVX1fv7s4/PZCPfZYG8eazerDj7rnftL+dH2azWoca9UPxI70cFtrtez82rV69dX2+efd2lp99VU9sTGeP99vHu+Wf7N8OqwiwcO37Dd/40bbfHn82z+G2bxb7NbaWnv99e7NN6vvV3iMJ3i4g2XS29t1YnO8+v7Q97X8iO7FF+vtt2t9fVWbd4eHOxiGvTHelavD6dO1DH4Y6vLlevbY+OnNNgwreaUXPNxZ1+31fO5cXby4t6vP5/Xnvw4/PjZe/6ANw/JbOge90HshePhOy+HcONapU7W1VU8dHXd3az6v/9yavfBCe+edGobbz4WV4A4P/8P+GO/mP9vmS9Nf/j4MsxoXNZ/Xa69Nb73VL5tfidG94OGuLKd0X27XK69MW3/sl3m3Vs//dPz9pX5jo1uJ5h3p4a4sb+zrG3X5D/0bb9R83lqr2ayuXO2P/Wj65JPVONvb4eEe7G/jly6135yetr8cjhypnZ16+um6fr2OHn3YP66zw8M9WG7j41gnTnTvvdf98Afjzk5V1TPP1KOP1jg+7P9La4eHe7Y/xvv3v9ovX+qOHKlr1+rxx1dgdCd4+D/tfxtvZ6eefHIFai/Bw/3Y/xmslai9BA/3aRnQStReftMO7tOqpL70cI8UgQdK8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDka+t0P0UmQ3Z9AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b1f09249206c2b406ef3114cb72e6e55276abcdc175bfa2bfb2592c8dbfa0c48"}
+{"episode": 19883, "episode_seed": 4054041731, "split": "train", "timestamp": "2025-09-15T23:03:14.912441", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4054041731, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.013135719313537, 1.8906654152481457, 16.24684195000333])</answer>", "action": "('move', [8.013135719313537, 1.8906654152481457, 16.24684195000333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.013135719313537, 1.8906654152481457, 16.24684195000333])</answer>", "action": "('move', [8.013135719313537, 1.8906654152481457, 16.24684195000333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.013135719313537, 1.8906654152481457, 16.24684195000333])</answer>", "action": "('move', [8.013135719313537, 1.8906654152481457, 16.24684195000333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6aa4d94143de7f252e40e9c18036e8f15d887a6342e6cbfd419ac6613d91ffc3"}
+{"episode": 19884, "episode_seed": 4063528766, "split": "train", "timestamp": "2025-09-15T23:03:15.550089", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4063528766, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.4675512186709088, -4.917388918832541, -34.651847674812096])</answer>", "action": "('move', [2.4675512186709088, -4.917388918832541, -34.651847674812096])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.4675512186709088, -4.917388918832541, -34.651847674812096])</answer>", "action": "('move', [2.4675512186709088, -4.917388918832541, -34.651847674812096])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.4675512186709088, -4.917388918832541, -34.651847674812096])</answer>", "action": "('move', [2.4675512186709088, -4.917388918832541, -34.651847674812096])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJPElEQVR4nO3dTYhd5R3H8d+de62JGFFDSi1UwYIL6UJwIaIgKnRREKXrVpdu3IhFFMFFtCC6jOJCEIoilq5CbAh9AUFaSlwbdaUuJGqlSGucl8yd28UZZ0Zs1Jg0M3N/nw+zuMxiOAzznf9znnPuuaPZbBagw8J2HwBw4Qgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiky2+wC2zWy2+Xo02r7jgAuoPfgFSxyajGZbJ12f6TRJxuPtPg64IBon/NpaFhby6KN5//0sLua22/Lgg+sD39qe+dY44afTjMe59tq8916S3HVXDh/OaJTZTPDMud5T2KuvzkUXZTLJxRfn9OntPhq4IHqDn0xy+nRWV7O4KHha9Aa/d+/6i+XlrK4mX71QB3OpMfjhRH0j+JUVE54WjcEPBE8hwQueIoLPysr6OTzMPcGb8BQR/GbwdumZe4I34Ski+M3r8DD3BJ+VlaysbOuhwIXSGPzGjTfDi+VlS3paNAY/2LNn/cXp0zbtaNEb/DDhFxYymzmHp0V18PlyeW9JT4ne4C+5JBE8ZXqD39i0i+CpUR18vpzwLstRojH4rZflhp35paXN78Mcawx+sGeP4KnTG/ywaTcYgoe51xv8eJwf/GD99fJyYsJToDf4JHv3ri/pFxe3+1DggugNfjTaDH5jwru7lvkm+CRZWpI6FXqDz5b3z3hLPCV6gx+NNjfqFxeztratRwMXRHXwGxN+acmEp0Jv8Nny0JulJROeCr3BD5t2g6WlTKfbejRwQfQGn68+x1LwNBB8YklPjergN3bpbdpRojr4rbv0JjwNqoP/+jm8++2Yb4JP7NJTQ/BZWPg/BD+b+RfCDiT4jEb/h3P40SjjsebZaQSf0Sirq+evzdksa2v55z9z/HjG4/P0Q+H8KA1+2JzbWNIn5y/4tbUsLOSJJ3L33fntb9e/YzOQnWGy3QewnbY+qfr8XIc/fToXXZS//CUvvphTp/Luu0kym63/U4HtVv2HuHdvxuP1r/PwaPq1tUwm+eyzHDyYU6dy3XV59tkkFvbsHNUT/uKLM53miy+S5N//Ts7lOZbDqfvCQg4dyhtvZDzOM8/ksssym3k4JjtHdfD79+eGG7JvX6bT7Nt3zj9uMsmbb+bQoSS5997cdZfa2WlGs+L9pNXVfPJJ9u7NZJJLLjmHpfcQ9vJy7rknx47lpz/NX/+aa64RPDtN9YSfTPLjH5+PHzRU/fvf59ixJHnssVxzTaZTZ+/sNNUTPtm83+ac9tGHSf7pp3nssXz2WV5+eT11m/PsMO3BnwdD7Rvz3GBnBzOCztlolJWVzcjVzg4m+HMw3J339tv59a/zu99lcdEddexwlvTf12yW2Syrq3nggbzwQq64Iu+8kx/+cLsPC76JCf99DTfMHj2al17KwkJ+85vs37/dxwTfwoT/XoZf2scf5847c+JEbr01R47k8stdeGeHM+G/r9EoTz2VEyeyb18OHszll2c6VTs7nODP3jDGX389zz2XJPffn9tvz9qa/Xl2Pkv6szT8uk6ezM9/nrfeys9+lj//OQcOJC7IsQuY8GdpGO979uSqqzKZ5Ikn8qMfJWpndzDhz9Jw7X08zuef5/jx3HHH+rtiYTcQ/NnY2IQXObuTv9qzdPRo3nhjvXb/K9ltTPjvZpjtb7+dm27KZJI//CF33mnOs+v4e/3O1tby8MP5z39y6aWbH0MJu4rgv4O1tYxGefHFvPZaRqM88khuvjnTqfHOrmNJ/22GdfsHH+Tmm3PyZH7xixw+vH4Rzn117DZm1LcZ3hL38MM5eTL79+fgwUwm6zMfdhvBf6PV1YzHeeWV/PGPSfLQQ7nxRnfRsnsJ/sxms4zHWV7Oq6/m1KnccksefNDOPLuac/gzGx5xkeSjj/Lkk7nvvtx003YfE5wTwX+brQ+l9HZ3djmr0zOYTnPqVD78MOPx5h11ameXE/wZjMc5eDC//GVeey3ZsryH3UzwXzN8NsXf/pZDh3L8eI4cWX/svPHO7ucc/qs2PiXujjvy97/n+uvz+us5cMDmPPOh+rPl/odhkj/9dP7xj4zHefzxHDjgw2SYGyb8FkPYJ07k9tvzySf51a/y0kt25pkngt9i+FX86195/vn86U95+eX85CeJzXnmh+DP4NNPc+WVztuZM4L/mtnM3fLMK8GfgW155pHgoYghBkUED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+C3uqRZ0wBwr/AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIw0lEQVR4nO3d3atldR3H8e9a+5xx9EqYAVMRnAsdjAwkbEazNM0gs3EYMpKwwvROQcV8KPMhNR8IxsTq2hvr1iSk0VFJvYiUIiEjtBhFRWoUH3Cc2WevXxd7yMfUGY/N2efzev0F6+L3Xr/vethrd621AjL0+/oAgP8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwX9cWtvXRwDvIviPRWvVdVVVw7CvDwXeQvAfi66rF1+squp7Wz1LiOAXWWvVWv37X7VuXV18cT3//O6tHpYCwS+yYaiuq8uvaE8+WZs316mn1uOPV1VNJvv6yEDwi2thoUaj+u3dw513trn56vvaubOtWGGqZ6kQ/KIZhur7eu65uvqabseObhhq5cq6+eZu7doahhqN9vXxgeAXy/TSve/r57e3x/5UK1Z0w6RtOmOycWONx2pnqeiacXMxTLf3h37fvnxq2znuq6tDPjH88dH+4IPffEQH+5wdftHs2FFX/KDe2NWPRtWG4eabO7Wz1Ah+EUyH+Z9tHh55pObnamGhvr6pzvpWV6V2lhYj/Uc1HeYff7w+d3x7fUfXWh1ySLv3vm7tkbtPBLB0WI8fyX/PlhddVK++1vV9DcNw2aVt7ZG7TwSwpFiSH8lkUn1ft95aW7fW3FyNx3X66f255/VlmGdJMtLvvcmkRqN64q/tK6fVM890rdWBB9Y999S6dbWwUHNz+/r44F3s8Htpep58/fW69pq2bVt1fbWqCy+sdetqMlE7S5Qdfi9Nn7f96tf13e9UazUe17GfGe5/sN9//+p78zxLlOD3xrT2555r6z87PPPsqO+ra8PDD3frj+88eGcpM9LvjelJ8qof1TPPjubnaxjq0st7tbP02eH32LTqu3/TNpzRRqN+MqlPf2qy9YF+9WrBs9S5ubRnWqthqO3b6/uXtKq+7+uAA+rGW0arV3vwzgywQvfM9IeuN1zf/v5kPzdX43E765vtS6fUwoK9nRlgpN8D43HNz9e999aGDW087oahjjii3X9/HXpoZ3tnJlikH9Yw1Nxcbd9e111Xb7zRVVXf15VX1qGHdgsLamc2WKd7otUvf9Eeeqjm52syqU2b6uyzO6/ZMEOM9B/K9Pb7Y4/VKSe3V1/ruq5WrapHH63DDvOLd2aJHf5D6bpaGNclF01efqXruppM2o03NrUzcwT/waYz0O23Dw8+1M/N1WRSG75W3z67868yzBwj/QeY3n7/2xN1wufrpZdqGGr16mHLlu6YY7rpr+Vghtjh309rNZnUzp11ycWT7dvb3FyNRu2yS+uYY7rpJ+hhtgj+/UwmNT9fd9zRttw/Go26XbvqCyfUuef1vjPPjDLS/0/Tif2f/2hfPLk9/XQ36ruVK4d7t9T643vft2BG2eHf2/T2+65ddf31tW1bNxp1C5M6//xu/fH99A0cmEV2+Pc2Df6uu+rMM6uqxuM6+pPDHx7t99vPS3XMMMG/t2GoF1+s9evrqadqfr6qasuWOukkD96ZbXar9zB9FHf1Ve2pp3Z/i/aCC+rEE/0JLDPPDv9O03t1W37XTjutVddPJnXUUfXAA3XQQX7xzsyzft9mOrFv316XX1aToW+tVu5fP762qZ3lwRJ+m+kfS/z0luHPf6kVK2oYhm9sGs7Y2I3HLt1ZDoz0b5oO8w8+0DZurFde7arq8MPb1q3dmjW2d5YJq3i36ctzO3bUDT/pXn6lm5ur1tqVP2xr1pTvW7BsWMi7dV21VrfdVvfdV/vtV+Nxnf7Vds73+ta8ZsPyIfjduq66ro49to47rnburFWravOtvafuLDOu4d/phRfqppvq6KPrnHP29aHAYhP827z15pztneVH8O+kc5Yx1/DvpHaWMcFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8Acx4f0g5yrp4AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "394ef0e820ca4b1b7d9fc39f83d363878e0e1a1b9061d2e06fec5901bb203fdc"}
+{"episode": 19885, "episode_seed": 4234320530, "split": "train", "timestamp": "2025-09-15T23:03:16.552587", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4234320530, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.18455938342679537, -9.683025505628494, 2.0547408082378333])</answer>", "action": "('move', [-0.18455938342679537, -9.683025505628494, 2.0547408082378333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.18455938342679537, -9.683025505628494, 2.0547408082378333])</answer>", "action": "('move', [-0.18455938342679537, -9.683025505628494, 2.0547408082378333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.18455938342679537, -9.683025505628494, 2.0547408082378333])</answer>", "action": "('move', [-0.18455938342679537, -9.683025505628494, 2.0547408082378333])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsklEQVR4nO3d3atldR3H8e9v7X1GFBw9Yih6o3RhjpkWMw4lgRdCI6U3BT6UD10MCEpIoph/QV05QhiFghbCMBNW3pmMjpVPKFYYGkGD+JCVU2EzMDZz9vp1sU+JIpNRejj783pdnnPzg3Xe+3vW2r+1Vuu9F5BhWOsFAB8ewUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwcfpvY4cqXFc63WwFlrvfa3XwIdnZaWm07VeBGvHhA/Se02ndfhw3XdfPflk9V4+7dMIPsI87JWVuueeuuiiuu66uv32ak3wcQSfYhxrOq09e+rJJ6u1evbZ2vtoDUPNZmu9Mj5Ego/QWo1jtVbXXNNPOKFaq4MH+13fno2jq3dZBJ9iMqlxrG3b2mc+3cexWmt7fzE88XhfWqqVlbVeHB8WwaeYD/mq2r69jjmmWqs3/lw7d/bZ6GQ+iK/lsoxjzWb12QvHp58ZhqFOWh4f2dPOPa/5ui6ECR9naam+dlOrqtZq/1/arh9WVU0mhnwEEz5O7zWb1Xnnzn77u0lVnfKR8Ymn2hlntD5W8/m/6BzhOK3VdFq33jYZxz6Z1Ot/GnbtalVVba1XxgfPhI/Te7VWf/trv2DLuO+lSe912mn1/PO1vLzWK+ODZ8LHmV+uP3G53fT1yTjWZFKvvVb3319VTuMXn+ATzYf8JZfUWWfVbFbDUHfeWW+9tforFpjgE00mtbJSZ55ZV1yxGv++39d99/Z/f1fPohJ8qNaqtbr88jrzzJrNauz9nrvr0KEqQ36hCT7UfMiffXZdsq1X9dbab15ou3eNk4nbaRaZ4HMNQ/VeN9zYlk9qVXXoUN+5sx04sPpzFpLgc83D3rSpPr9t7L2m0/boY/1ne7t7ZheY4KPNb5u5+ZZhw1KNY711qH3/B3XokJ22C0vw0eaX7s4/vy79wjiONZ223bv7r37Z3T+3qASfbh72zbcMk6FXVa/hru9U7zX401hEjmq61qqqNm/u27b1lZWaTGr3rnrxRY+4XEyCp8axlpbaDTcOVdVa/eNwu+OO1Q8CFozgWb10d+GFdfHFtbJSrdXu3bVvX5VNOAtH8FRrNZvVxo117bU1ndYw1Jtv1p07RjttF4/gqXr7EZe19YI+m1Vr9cADwyuv1DBofqEInqp/DfmTT64vfbEvbaiqeu0P/XvfdTvNohE8q6bTms3q2q8OHz2j9169tx//pL38cp8PfxaD4Fk1vyy/vFxfubqqajKpF17oP3rAJpyF4hFXvG3+t/Dmm/Wxs8Y39g/jWFu29AcfbKeeWuNoK84icAx523zIn3hiXX99G8da2lDPPNMffcSEXxwmPO8wfwDOq6/WJ84d/35gmI21+ZPjYz9vxx3X5r9iXTPheYf5Gfvpp9f27W02q+mknn2uHtmz+uIK1jvB827zSX711XXiCX0caxiGb35rrdfE/4ngebf5kD/n4+2qL7f5S6afeqoeeqjKTtv1T/C823wTTmt15VV1/PGrr6basaO8TH4BCJ73MN9ss/WCuuzSPo69DfX44/XY3j4MXia/vgme9zAf8ktLddWVtXFjq6oDB/rdd/fWfBu/vjl6vLelpZrN6uLPta2bZ33srbWfPjw8/dToEZfrmuA5mg1Ldf0Nw4YNrbXav7/uv3+YX7dz9W6dsvGGo5nvqN3yqfG5Xw9Vdeop/eGHa9M5zU7bdcpB42jmm21u/cYwjn06rdf/WPfe1w4ftglnvRI8RzMP+7LL6uOb6vDh6r299NLqY7D8a7geCZ7/oPfacEzddnvburV27aodO+rYY6vstF2fnMPzvhw5UgcP1vLyWq+D/43g+S/Md9q5XLd+Tdd6AawbXkezABxA3i8n7QtA8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDknyAl+HzLNecsAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "64ce082402e1ede6c76ed8bf5b332f26990d845114eb1fb2ce28d636a9814cb2"}
+{"episode": 19886, "episode_seed": 1991862316, "split": "train", "timestamp": "2025-09-15T23:03:17.197231", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1991862316, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [36.50379932359072, -41.0381307475067, 19.85082769651771])</answer>", "action": "('move', [36.50379932359072, -41.0381307475067, 19.85082769651771])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [36.50379932359072, -41.0381307475067, 19.85082769651771])</answer>", "action": "('move', [36.50379932359072, -41.0381307475067, 19.85082769651771])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [36.50379932359072, -41.0381307475067, 19.85082769651771])</answer>", "action": "('move', [36.50379932359072, -41.0381307475067, 19.85082769651771])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIWElEQVR4nO3dXY9dVR3H8f8+M0NDC14MQmIlgjGpkagEG0t5aiESAkWsESG+B94PCQmXXCkgKK0aRB5MqZQQEFoQmhjLgw0RJGoB7Zyzlxd7wivo2Xsyv8/nbs7Vysr5Zq29z157utZaARlmUw8AGI/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjg2XJam3oE25fg2VqG2jc2arFQ/oXXNZMKMazwbBXD0vPee/XAA/XQQ3XqVG1sTD2mbWd16gHApr6vlZU6erQ9+GBXVXv21MMP1y231GJRKytTD267EDxbxbDC/+qJfnV11lp3/nxddtnUY9p2BM+W0Pe1ulpnztSbb63M51VVN9/Urrmmm88t7xeSa3i2hMWiqurp3/V/P9uqam21v+nGVlWtVddNO7RtxQrPljBU/cILdf58VdVXds/uvLuqLO8XmBWe6Q37+Xffrdden1V1Ve1b31xcfVUtFjXzDb2gTCfTG/bzx1/s33qr72Y1m3WH7p615sGbC0/wTKy1Wl2t1uqlE7P5fFatLtlVh3/cdZ39/IUneCY23Jb74IN6+unNP6/9zuKqq9yuWwrBsyW8/XY7ebINS/p9P7OyL4u79ExsNqu+r+ee67quhm38oUNTj2n7ssIzpeG23Llz9cQT1VrN57V/f115ZVXZzy+F4Jne6dN16lStrVVV3XtvXXTR1APavgTPlIZl/MknW2vV97W21g4erK6rvp96ZNuU4JlYa/X4o31VLRZ14w119dVTD2hbEzyTGS7g33ij/vLObLZSVe0Ht3fr69X3HrBbFvPKZIZ9+2OPtr51ra9dO9u+fe2Lz1kGP8sxsd/+prW+q6rvXju77rqqsrwvkallGsP7bV59tf76t+FL2PZ9v11xRW1sCH6JTC3TGA7MHD3Sf/xxq6qdF9fBAxMPKYEtPRNorWaz2tioY8c2b919/RvdwduqNQdmlssKzwSG/fypU3Xyzc0D8N+7drG+Xou5/fxymV0mMNyHP3as3n+vuq527Oh++KNZa9X5Pi6ZLT1ja63W1mo+r+PHN/fz6+t116Gu6yzvS2eCGdsQ+em32/PP98MJuZtvrksvqb53YGbpBM80Xn+93n+/Vlartbr//irH40YheEb1xf353z/bdd2sn9eXdi1uvbVK8KMQPBP46B/t179cVFd9qzvunK2vTz2gGIJnAq/9ufvwo9naalW1n9zbzWZeUDsSwTOqYd/++GOtqpvPa9fOfjgwI/hxCJ6xffZZHXmqH95ycdfdK7t3d+UCfiyCZzzD8zYvvlhnP1xZWamq/vbb2sUX+0FuPIJnPMO+/Rc/b11Xi0Vd/uXau7fKAfgRedKOkQw/yM3n9Ydnu6H866+fXfPtKv8xckRWeEYyLOPPPFNnz25+sv+G2rmzNjbs58cjeEYyXKgfOVKfflpVdfnldeBAlffbjMtkM4bhoPt/ztWJE5uf7NlTe/f6h9BjM9mMYQj7xJ/a6XeGH9zbDfv7nTvdnx+b4BnDcJfujy+0f35SVXXppd0998y832Z8gmfphgPw//p3HX9peL9NfXV3f+BglQv40Zlvlm54X+WbJ9vLL28egL/jjiqP005B8CzdsIy/8kp98km3slKt1U/vm5XlfQqmnOUanrc5d66eOtpVdYtFfe3Kxb59Uw8rleAZw+ef1//+W1XVWv3o8GzHjqkHlKprLqRYvtbq/Pk6c6YeeaQOH958hJ7xCR6CODzDeL5YXDxsMxXBMx6dT85NOwgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyfx+0oeA25k6DAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3ad9a43788bb98e57a82323e8ca6b5fa3e032ec140590f8131b37656923ed5f2"}
+{"episode": 19887, "episode_seed": 3126909464, "split": "train", "timestamp": "2025-09-15T23:03:17.847108", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3126909464, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.953302251317884, -0.8234038792445596, 57.967337908418074])</answer>", "action": "('move', [-1.953302251317884, -0.8234038792445596, 57.967337908418074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.953302251317884, -0.8234038792445596, 57.967337908418074])</answer>", "action": "('move', [-1.953302251317884, -0.8234038792445596, 57.967337908418074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.953302251317884, -0.8234038792445596, 57.967337908418074])</answer>", "action": "('move', [-1.953302251317884, -0.8234038792445596, 57.967337908418074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "71b53fcfa79cf8696fe8eb9e1674abaccfe96c12cc8bb5a6b2f72e185f7dbf60"}
+{"episode": 19888, "episode_seed": 1875939627, "split": "train", "timestamp": "2025-09-15T23:03:18.487084", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1875939627, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.133463314724636, 11.80112292114648, 17.108910058897266])</answer>", "action": "('move', [-10.133463314724636, 11.80112292114648, 17.108910058897266])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.133463314724636, 11.80112292114648, 17.108910058897266])</answer>", "action": "('move', [-10.133463314724636, 11.80112292114648, 17.108910058897266])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.133463314724636, 11.80112292114648, 17.108910058897266])</answer>", "action": "('move', [-10.133463314724636, 11.80112292114648, 17.108910058897266])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZklEQVR4nO3dW4hdZx3G4XfvyZiaqKFag0labWls2obSmjQHqWA1qIjoZdUgiFKQ3uiVgiBYEC+8sYLiRdUqoR5AUEEwiKIXipqUBCvFnIySajRaNbZVa5uZ2V7snZmkTc+HJPM+DyGQmb1nVib55f+tb63MHoxGowAdhmf7AIAXjuChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOCfnbm5zM2d7YOAp2owGo3O9jGcn0ajDAZn+yDg6THhn6bRaDLSB4PMzeXTn8773pf77kti1HPuW3K2D+C8Mjub4TDDYR5+OD/6UW69NXv2JMm2bfnAB2KtxDlP8E/H1FSS/OIX+dzn8u1vJ8kFF+Rtb8v69RmNMrRc4lwn+KdsNMqePdmxI1/+ch56KEne/OZ86EO56abJe53Sc86zafeExl+cccmjUbZvz7e+lSRXX52PfCTvfndWrMjsbAYD453zggl/JqPRZIk+P7THA3z79vzwh/nYx7J9e1796iQ5cSLT02fxSOFpMeEfY7wzNxhkZiY/+Ul27MhHP5prr51swh87ltWrJw8z2DnfmPCnGI0yMzOZ2Hffnc9+Nl//emZnc9FFue22JBkOJ7XPzU028OC8IvhTDAaZns6BA9mxI5//fB58MEluuCGbNk0Knz+lN9g5Pwn+pNEof/97vva13HFH9u9PkrVrc8stef/784pXnLZ7B+et7uBPvZY2GOQrX8nHP54ky5fnwx/OBz+YtWuTZGYmS7q/UCwWrZt2c3MZDB69CX/PPbnxxrzpTbn11qxfn9iZY7HpC/7Unbn9+/PVr2bbtrz1rZNN+D/9aXK9LcncnNRZZMqCn1+cHzmSO+/MF7+YP/85b3xjvv/9LF++MPPdNsci1XRqOhplyZKcOJHbb88dd2Tv3iS5+OK84x2ZmTktdbWzSDUFPxjku9/NbbflZz9Lkunp3HJLbr4511yTmOpUWNTBz+/MjWP+3vdy002ZmclwmLe/PZ/8ZDZuzHC4cGsdLHaL9Bz+1J258W7ccJh//Ss33JCpqXzqU3nXuyaFz866Z44eizH4+Yn917/mm9/MypXZvn2y5X74cFauzEtfmsS9NBRadMGPV+9zc7nzznzpS/n5z7NqVX7601xxxcIN8E7XabWIzuHHGY9G2bkzX/hCdu6cvP2d78yLX5yc/C50NuEptogm/HjRfuRI3vKWHDqUJNu25ROfyBve4MZYGFtEd5INh5mby8UX573vzerV+cY3snNnbrwxS5b49pIwtogmfE6u6u+/P1NTeclLJm+JnTmYWFzBn8rOHDzGYjy5NdXhcSzG4KUOj2MRbdoBT0bwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwi8Ro5BX0eHKL8YUoaswXPhpl6J9ungJ/Tc4P4wE+N3faGB+/1P1gkOEwx47lgQcmj4THI/hz17jwmZnMzi6EPX4drZmZ/Oc/ueee3H57br45V12V170uP/hBkszNnd2j5pxmSX9uGc/wcbTT05PIk8zO5p//zPHj+cMfsnt3du3K7t25777TnrtrV97zHhOeJyL4s29c+HzkSaamkuShh3Lvvbn33hw+nLvvzq9/nb1788gjk2cNBpmezuzswkjfteuFP3bOM4I/O8ZzePzzcJipqUnkx49n37789rfZty+HDuXgwRw4sPCs4TBLl04W+aNRTpxIknXrctVVufLKbN6cJFNTGY28gi5nNhhZAj7PHrXN9lhHj+auu7JnT37zmxw9mqNHc+zYaU+ZmpoUPjY9nQ0bsnFjNmzI5ZdnzZqsWZNly57P3wOLhQn/vBhvqo8n7WMvmD3ySA4cyC9/mV/9Knv35m9/y4MP5t//fqIPddFF2bIlW7Zk69asXZsVK7JixWkfeWYmSZb48+QJmfDPmfn9tsHgtPBmZ/PAA7n//hw8mF27Jj+OH8/s7ON+qOXL87KX5ZWvzKZN2bo1W7Zk3bq86EVn/ozzF+fgSZkIz9b4ytl4Cy0n99v++9/J4vx3v8vevZMf41PunFylP8rq1Vm1KpdckmuuycaNuf76rFlzhk936r/Pbrbh6TLhnzP/+EcOHMj+/Tl0KPv2Zd++HDy48N7xttzMzMKm+mCQdetyxRV57Wtz5ZW5+uqsX58VKxaeMr78nhjgPGcE/8yNl9O7d+c738nvf58jR/LHP+Yvf1l4wHj7fWZmYSwvXZoNG3Lddbn22lx+eV7zmlxySS64YOEp41XAcLhwjw08hyzpn7mZmUxP58c/zmc+c+YHjK+ur1yZzZsnW26XXpqXvzwXXnjaanw+8vnzAnieCP7Zuuyy0365bFmWLcuqVdm8OVu35vWvz2WXZenSR5+0jy+ziZwXmOCfuXHD69fn+uvz8MO59NJcd102bcqmTXnVq87w+PkLdfPPhReYc/hn63//y+HDWb06F1648Mbxxbkxp+KcOwT/nDlx4tH/pw3ONYJ/tuZvtnFVnHOf4KGIqQRFBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/g+lUnm7DgEm6AAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "25b2937568a5a1e4ba305dedc68ad98d6f020bd2f683da300b65e7122d22f802"}
+{"episode": 19889, "episode_seed": 3143339716, "split": "train", "timestamp": "2025-09-15T23:03:19.478834", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3143339716, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2577087679771455, 0.6804565502709176, 11.443988423511541])</answer>", "action": "('move', [2.2577087679771455, 0.6804565502709176, 11.443988423511541])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2577087679771455, 0.6804565502709176, 11.443988423511541])</answer>", "action": "('move', [2.2577087679771455, 0.6804565502709176, 11.443988423511541])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2577087679771455, 0.6804565502709176, 11.443988423511541])</answer>", "action": "('move', [2.2577087679771455, 0.6804565502709176, 11.443988423511541])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGPUlEQVR4nO3ZzW5V1xmA4e8c8xNMaflRANMUsN2USe4nF5bLyGVklkuoBAEmmaRSBgGH1D67g0MAOW2gSg1q3ufR0h5Y8vGydN691tp7tSzLAA3rDz0B4P0RPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHkHMfegLwbyzL6fEbrVazWs3OzqxW/4v5/d8SPB/etuc3r+v1rO0+z8Bq+e03T/hVv/yKvXWZXZZ5/HiePHk5Hj+e775bZlanfne1er3+v7pultlsZnMym83LsXvx5OBgbu7tfP75PHgwy9Jd563wnLlfqWuzmePj+fbbefhwHj2aR9/Mo7+fPHy4/OP7c0dHc3Q0P/44L168/Jh3/HMXd/55+On68NOd/f05OJjDw7l9a727Oxcuzt7eW+bzu2eF58wtyxwdzdHzOTpafni2evr057x/Hs+fz8nJOx7Ul3M7q49259JHc+nS7O4uf751fPi3ncO/rg8PZ39/Dg/nT39895tDjuA5K5vNrNfz1Vfz5Zfz5Ok8/WZ5/Oj4+x92Tr0b2h7Xl5mT41MfsMwsV66sr16dq1fn2rW5fnXzyZ2T+4c79/bX9+7O/fvz8cdvn8abX/Dy2r5lS89Z2Qb/9dfzxRfbH6xW6/MXLsxqNccnr/PeHrNnNpcuzq299e3bc/v27O3NrZvL3q1l75O5c2fu3NnuxtenbhabzesD+ZvXN4n8TYLnrGwfs3/22Vy+PM+ezcwsm/npp5mZ1Rzf+8v67v313buzHbdvzo0bc+3G3Lgx16/PxYvzy7aPj1++XXs1PMn/bwmes7JdWu/dm4ODuXJlHjyY7VO0/f25cW29+4fV5ctz+fK27TmV98nJnJyczvvChff/T/zeOMNztpZlXryY9XrOn/+Pu+vtE7tXe/Lt4CwInvfq1WvzV0lr+30SPIR46AEhgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngI+Re+ldzIB9JjIQAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGPUlEQVR4nO3ZzW5V1xmA4e8c8xNMaflRANMUsN2USe4nF5bLyGVklkuoBAEmmaRSBgGH1D67g0MAOW2gSg1q3ufR0h5Y8vGydN691tp7tSzLAA3rDz0B4P0RPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHkHMfegLwbyzL6fEbrVazWs3OzqxW/4v5/d8SPB/etuc3r+v1rO0+z8Bq+e03T/hVv/yKvXWZXZZ5/HiePHk5Hj+e775bZlanfne1er3+v7pultlsZnMym83LsXvx5OBgbu7tfP75PHgwy9Jd563wnLlfqWuzmePj+fbbefhwHj2aR9/Mo7+fPHy4/OP7c0dHc3Q0P/44L168/Jh3/HMXd/55+On68NOd/f05OJjDw7l9a727Oxcuzt7eW+bzu2eF58wtyxwdzdHzOTpafni2evr057x/Hs+fz8nJOx7Ul3M7q49259JHc+nS7O4uf751fPi3ncO/rg8PZ39/Dg/nT39895tDjuA5K5vNrNfz1Vfz5Zfz5Ok8/WZ5/Oj4+x92Tr0b2h7Xl5mT41MfsMwsV66sr16dq1fn2rW5fnXzyZ2T+4c79/bX9+7O/fvz8cdvn8abX/Dy2r5lS89Z2Qb/9dfzxRfbH6xW6/MXLsxqNccnr/PeHrNnNpcuzq299e3bc/v27O3NrZvL3q1l75O5c2fu3NnuxtenbhabzesD+ZvXN4n8TYLnrGwfs3/22Vy+PM+ezcwsm/npp5mZ1Rzf+8v67v313buzHbdvzo0bc+3G3Lgx16/PxYvzy7aPj1++XXs1PMn/bwmes7JdWu/dm4ODuXJlHjyY7VO0/f25cW29+4fV5ctz+fK27TmV98nJnJyczvvChff/T/zeOMNztpZlXryY9XrOn/+Pu+vtE7tXe/Lt4CwInvfq1WvzV0lr+30SPIR46AEhgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngI+Re+ldzIB9JjIQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "619bb92fccc87e63f556316523bde3569b3e6f91c66f845e9b5660a512d4ee6b"}
+{"episode": 19890, "episode_seed": 3527383798, "split": "train", "timestamp": "2025-09-15T23:03:20.112428", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3527383798, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.150070628806013, 17.455586101937392, -54.0152626328886])</answer>", "action": "('move', [-8.150070628806013, 17.455586101937392, -54.0152626328886])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.150070628806013, 17.455586101937392, -54.0152626328886])</answer>", "action": "('move', [-8.150070628806013, 17.455586101937392, -54.0152626328886])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.150070628806013, 17.455586101937392, -54.0152626328886])</answer>", "action": "('move', [-8.150070628806013, 17.455586101937392, -54.0152626328886])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7f226f73d8a3f5ea2c55f856f33cf8d21e543310cf04f33d7baf550db259f63a"}
+{"episode": 19891, "episode_seed": 4107886513, "split": "train", "timestamp": "2025-09-15T23:03:20.738441", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4107886513, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.117236004500517, -5.989883100176887, -50.958413064055286])</answer>", "action": "('move', [-2.117236004500517, -5.989883100176887, -50.958413064055286])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.117236004500517, -5.989883100176887, -50.958413064055286])</answer>", "action": "('move', [-2.117236004500517, -5.989883100176887, -50.958413064055286])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.117236004500517, -5.989883100176887, -50.958413064055286])</answer>", "action": "('move', [-2.117236004500517, -5.989883100176887, -50.958413064055286])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "639b674292a6ae236738ee13530b2542b921ec8cbe777ae60f377f0b16556305"}
+{"episode": 19892, "episode_seed": 3420831385, "split": "train", "timestamp": "2025-09-15T23:03:21.749794", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3420831385, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-50.37759934167284, -20.208149443217543, 58.36903504530871])</answer>", "action": "('move', [-50.37759934167284, -20.208149443217543, 58.36903504530871])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-50.37759934167284, -20.208149443217543, 58.36903504530871])</answer>", "action": "('move', [-50.37759934167284, -20.208149443217543, 58.36903504530871])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-50.37759934167284, -20.208149443217543, 58.36903504530871])</answer>", "action": "('move', [-50.37759934167284, -20.208149443217543, 58.36903504530871])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5eb0a4b4c4c8cfa6f5e70abaa06de403c97a3caa2bd0af5605fa8d338a0d28ca"}
+{"episode": 19893, "episode_seed": 1770864062, "split": "train", "timestamp": "2025-09-15T23:03:22.387331", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1770864062, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.084097752530498, -1.2817109933632318, -16.13084886368718])</answer>", "action": "('move', [2.084097752530498, -1.2817109933632318, -16.13084886368718])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.084097752530498, -1.2817109933632318, -16.13084886368718])</answer>", "action": "('move', [2.084097752530498, -1.2817109933632318, -16.13084886368718])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.084097752530498, -1.2817109933632318, -16.13084886368718])</answer>", "action": "('move', [2.084097752530498, -1.2817109933632318, -16.13084886368718])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "11e32d0447d9985af7a05d3988ce8ca9b54bb98a21c96d13b56caeab4e4934c7"}
+{"episode": 19894, "episode_seed": 869318479, "split": "train", "timestamp": "2025-09-15T23:03:23.029010", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 869318479, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [170.940947712996, 3.0956884603542343, 3.3146611486574216])</answer>", "action": "('move', [170.940947712996, 3.0956884603542343, 3.3146611486574216])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [170.940947712996, 3.0956884603542343, 3.3146611486574216])</answer>", "action": "('move', [170.940947712996, 3.0956884603542343, 3.3146611486574216])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [170.940947712996, 3.0956884603542343, 3.3146611486574216])</answer>", "action": "('move', [170.940947712996, 3.0956884603542343, 3.3146611486574216])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHDUlEQVR4nO3ZP4sc9QPH8c/O7d4fQTSK2FqIYKmFbQoh2lqFVIJPwedhEKwEC0HsLGwsxM5CK/EJKChYKSJR7m5vc7sWO+4ll0vM3c+fXvi8XgzL7Ozs5Dtk3vNnb7JarQJ0GP7rAQD/HsFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkel/PQAul9Xqgl+cTP7RcfyzTu3VnWO93w6fd51HxGR14f9hOMv6gLr39cw6HrzwEQzqshM8SbJaZTLJrVv54YfMZplOMwwn09bWXW/v99EltVpltcpyOU5JdnfHj+bz7O+Py0+t89RTeeyxJFku8913WSwyn+foKEdHmc+zWOSPP/L883nppXFTX3yRr7/OZJLDwxwf59dfc/Vqbtz493f3wdzSkyTHx5lO89VXef31k4XTaXZ2srOT3d2T13tnNm/39rK9PS65c531GeTUtLV1xsLN8mHIzk5ms4vuz+3b+fTTfPttVqsx1MVibPXKldy8mckkw5DPPsvNm2PA65gXi+zvZzrNe+/ljTeSZH8/L7xw9r/y5pv54INsbSXJhx/mo4/u+vSXX3L9eoZhPJteDoLnxGSSJ5/MwUGS8Zp3cJD9/Ys/2N9rGDKbZWcn29v3nfb2kuTq1bz9dpbLc947rOtaLPL++/n88zNWmEzyzjtjgd9/ny+/PHs7t26NWxuGPPts9vczm42nrtksu7u5fTvPPXey/iuv5Mcf8/jjmUyys5PVKq++ep5x/0sEz4nff89vv13wu5PJOG3mN8vX99SbaT7PfP73G1wux+Dv3NpDjSPJbJZr1zIMeeKJDEO2tzOdZns7s1muXMkwjKtdu5Z33z35aPMws72dl18et7a7m08+yXJ5+s4kydNPj5f3JG+9levXs7ubYRg3sn7N5fopwjM8yV/XxZ9/zjffZD7PwUEODsYyN/OHhzk8fKj5w8P/aTDDkOUyN27k44+zWFz0xn49oNls/IFhMsnW1ngnX8wVnuSvi9Azz+S11/5mzVOX6/tNR0c5OLjrXLB+e+f8Zjr1drHITz/lxRdPBnYRe3vjs8HD7Ezu+dvb+uywdnx89tc3dwqbTZ0a8WW6tq+5wnOXzeFw+Y7Vc3rAgf3I79vFCZ7/o/MeXHeuf75Hdx6O4KFI9Q8Y0EbwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUORPvvB2HpRmMlIAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFc0lEQVR4nO3aTW4TSQCA0er2H2t2HIEV9+AY3INbsOOOiA0C2zPpWTiEkARmMhNIxt97arVKbsupWPpcpbanZVkG0DA/9gSA30fwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIWT/2BOB8LMvNR6bpMebxY4Ln3Nyu7rZf1OFTy/s2wXNuHry6ZRljGcu46zzGsozDYez3N8+Hw/j8ebx8OV68eOD5/BeC59x8/Dg+fBhjLBcX4+JiOrW333/r8DQ+Hu948Gp8fbDfL4cvy/7LxWG/7Pfj8GUcjmN/GPs/VofjfDxe7ilunKdpLMt4/368efOIb8ZNgud8nDJ79268fTvG5QL8IMv9NMZ0/Q73NI0xXb70aUNxta2Y58uZnBwOD/H3H47gOTfr9dhsxjTN4wfb+2W547iXb5v8H1z/+nEzf/p0v1f+1QTPGToef3JxuVr2t+tls/5zux3b7djups1u3u6mzWZst+N0Ph1X483mu/FuN64/+erSajWt18t6NY1pvHr1W/7hf0zwnI/Tev769Xj+fDx7dpnfbvfdYL0e83ztmOZ5HvM8zfOYV99fmsdqNeZ5TNMdg7/zRH/hMi333c0AY4xbd+nGXd8Inj44ng4rPOfpdns/X9r+xZd5N27X/S9Y4SHkKe02gF9M8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkLwmXuwAV8ETmAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "11e24993b6a82448c9ecd7f77788df667a0565379d329b062bdf56b98290740d"}
+{"episode": 19895, "episode_seed": 1212598704, "split": "train", "timestamp": "2025-09-15T23:03:23.682933", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1212598704, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.6538876027251003, 0.4306680905137146, -35.299590545856816])</answer>", "action": "('move', [-0.6538876027251003, 0.4306680905137146, -35.299590545856816])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.6538876027251003, 0.4306680905137146, -35.299590545856816])</answer>", "action": "('move', [-0.6538876027251003, 0.4306680905137146, -35.299590545856816])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALHElEQVR4nO3dXYwV5QHG8WdmDgqCH7hChGAiwfj9CaliajEsq8REDQaUaDVgRC7oBaLRFFQqFRI/gGiV+hkWSUxDDFkTVyBetHuBZAlQTYstIKCrZA3LtoLrGpdzZqYXMzYaG7sLruvM8//dwcVmLs7/vO+87ztzgjRNBcBDONAXAOCnQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBD8d6XpQF8B0I8I/ruCYKCvAOhHBP+NNFUca/NmdXfn/wRKh+AlSXGsIFBTkxoaNGuWDh9WENA8yofgpThWFGnLFt17r3p69OGHOnhQaUrwKJ8gNf9YJ4nCUHv26Prr1damUaO0YYMuvzz/FgDKxXuETxJJ2r1bd92ltjYNG6a1a6kdJWYdfJqkCkOdeKK+/lqSVq1SQ4NqNWpHWZlO6dNUSaooVBrHQRSprU2trbrtNqWpQusvQZSbY/DZRD4Mq+m/vwxOH640ZfsdJuxGszRVGKZhWGv6w2e/nbG7unNPkgRKWJOHBa/gs7H9H7uDOfeEM+af8dRfLl37+4/D6GgtkRjjYcAr+LSWBIG6//bxn1Z/nlZOiqLBK//e8MknUVQJkpjiUX5OwSdJdEJY+7zrF42//k20Ko2TMAj+uSdctSoKpIQZPQzYLNplK3NJks65N2hc/a8ho67UXz86eqaSpK4ubG7WVVex+47ycxrhe3q0ZEnQuDqR6h6843d/HJ7GaRQGnZ166ikdPaowZOUOJecxwmfD+65duuACSZo+Q2tfS04act1k/bkliCLFsZqaNG0aO3QoOZvgJXV3q7FR77yjNWvSujol8bYd0a9+qVqsNNW552rHDg0dOtCXCvSnsgf//SG7u1tDhypJ0zAIpAce0MqVGjRI1aqWLNHixQzyKLNSB5+1u2+f2tpUX5+P89mD7kGQJAoC7d+vqVO1b5/CUKecotZWnXde/gQdUD7l/VxneX/1lebP15QpeuEFJUn+lHsQSApDxbHGjdP99+uEExRFOnxYjzyiWi0/nwOUT0mD/2/YCxbo7bcVBDp06PuT9az5O+7QxImqVhVF2rRJzc2qVFSrDdSlA/2opMFLCkMtW6aXX5akuXP16KP5Jvu3ms/24U47TYsW5ct1X36pp5/WoUMKQ8Z5lFAZg89eULd2rR5/XJJuuknPPCP9rwU85YP51Km65RbFsQYNUmurXn+dPXmUU+kW7bLjci0tmjlTHR268ko1N2vEiB84Rpd9D3z6qS67TEeOKE01apRaWnTOOTwdj7Ip18c5q3rvXt19tzo6NHasVq/WiBFKkh84NJst2591lhYvVpKoUlF7u5YvVxBQO8qmdJ/oJFFPj84+W6eeqlde0UUX9X6YnjtX48erWlUY6tVX9e67Eu+nR7mUbkqf7aF3dOiDDzR5cu+31LOJ/YYNuvlmpamSRBMnavNmhSHncFAe5Rrhe3ry5fWRI/tUeyZJdN11uv12JUm+evfiiwoCtuhQHqUIPo4l6cknVV+vXbvy7fU47lPt2Z38oEG67z6NHq1aTUGglSt14IAqFbboUBLFDz47MbN+vZYt05YtWrpUktL0GB5tjyJVq5owQffcoyBQpaL9+/XEE/m3B1ACBb+Hz5blt23TtGlqb9ell+rNNzV27DE/AZON5J2dmjJFO3cqijR8uNav16RJvB4DZVDkET7bbPvoI915p9rbdeaZamw8ntr1zdm7kSP18MP5/3R2avlydXXx65Iog8IGn222ffGFZs/Wnj0aPFgvvaTx4/NjdschipQkmjlTN9yQn73buFHNzZy9QxkUeUrf06NZs7RunYJAzz+vefNUq6lSOf4/nE0Rdu7UhAn5Dfy4cdq6VaefLoldOhRYMUf47Evq/ffV3CxJixZp3rwfPk7XJ9ns/eKL9eCDimNVKtq3TytWKAioHcVW5BFe0htvqKVFzz6rKPpxD75nW/gHD+qaa7R3b/6Tk9u26cILJQZ5FFaRg//24lw/vJgqa37NGs2ZI0lxrBtv1Ftv8T4cFFiRP7lBkN9h99tr6OJYM2aooSGf2G/apHXrFIacvUNRFTl4SVHUf4fds2F82DA99JCGD1ccq1bT8uU6dChfyQcKp+DBq3/vp7Ozd/X1uvXW/ODt9u35S3QIHkVU5Hv4n0R2u3DggK6+Wu3tkjR6tDZs0CWXcDOP4uED+39kW3RjxmjhwrzwAwe0YoWqVc7eoXgY4XslTVWt6tpr1dqaH+3ZuFENDQN9WUAfEXyvZBP7lhZNnqzst+iuuEJbt6pSYU8eRcKUvrfSVJMmae7cfIvuvff03HPZL1AP9JUBvcYI31vZ47G7dqm+Xp99pjDUGWdo+3aNGcPLbVEYfE57K5vJn3++5s9XFCkI1NGhxx5j6Q5FwgjfB0miJNGRI5o6VTt2qFLRkCFqatKUKT/Wc3pA/2KE74Ns3l5Xp4ULNXiw0lRdXVq6VJ2dnL1DMRB831QqimNNn56/HiMIVK3m78MBfv6Y0vdZtkW3e7emT9fs2VqwIH82l+bx80fwx66rSyefPNAXAfQFwR+jbEjnVbYoFoI/dkzjUTgs2h07akfhEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMh/AN73Ga36uEvxAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.6538876027251003, 0.4306680905137146, -35.299590545856816])</answer>", "action": "('move', [-0.6538876027251003, 0.4306680905137146, -35.299590545856816])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7e1a5fa5487e61261f756a69b35f70367b3c69cb9ba10188f9a8e5aa0cce88cb"}
+{"episode": 19896, "episode_seed": 1267415748, "split": "train", "timestamp": "2025-09-15T23:03:24.722155", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1267415748, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.3074873228663173, -2.1405504827196853, 27.104344849625022])</answer>", "action": "('move', [2.3074873228663173, -2.1405504827196853, 27.104344849625022])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.3074873228663173, -2.1405504827196853, 27.104344849625022])</answer>", "action": "('move', [2.3074873228663173, -2.1405504827196853, 27.104344849625022])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKFUlEQVR4nO3dT4icdx3H8c/MbrPamiabtGu0pgHpwVMriFhQkKq3KggiGETPiqKlKigi9SComJsXBUGCiH+gUBQl5OBJqDd70obiQSUx9o8RTWJMsjMennGT1mqzwX2m3c/rddqZw/Ak7Hu+v+fvTubzeYAO02VvADAewUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR1WVvABU2NzOfZz7PZJJVv3TLM5nP58veBmAkvmzZcfN5Hn88p07l7NncfXc++MHs2bOY9oxM8Oy4+Tzf+lZ+8INcvZr7789735s9e5a9Ta0ctGPHTafZuzdXr2Yyyd//nsuXl71BxQTPGF7/+sUC/uxZwS+T4BnDxkbm86ys5Nw5wS+T4NlZw1mg1742SVZWMpvl/PnlblE1wbOzhuA3Nq698+c/L2tbEDyjuP32JJnNkn8H75zcUgieMayt5fbbs7mZJGfPLntrigmenTVM8rW13Hnn8yY8SyF4xvCqV+XgwcXPJvwSCZ4xDBN+8PTTcQPHsgieMayt5Y47Fj+fPbtY2zM+wTOGPXsWZ+Ymk/zpTyb80gienTWZLOb5MOGn05w7l0uXlrtRvQTPjntB8PO5A/VLI3hGsm9fksznmc0WwVvYj0/wjGTv3iS5etWEXybBs+OGa2/27l1cYLsVvAk/PsEzkte8Juvri59de7MsgmfHbU34/fsX71jSL4vgGcn1E96SflkEz47bmvDDgfpY0i+P4BnDbJa1tWsT/plnlro1xQTPjptMFnfCb+3DX76cS5eysmJVPzbBM4Yh7OuDf/rp5W1NMcEzhmE3/sCBxcsrVxarehN+ZIJnPOvrWVlJksuXBb8cgmcMw4RfX89ttyXXLekFPzLBM4atJf0Q/JUr9uGXQ/CMZ2vCz2Z59tnEhB+d4BnDCyZ8Ykm/HIJnDP8Z/HPPLXFzegmeMUwmuXo1q6vXgh/+wty2r70ZHqDBzRI8Ixk6HW6JT3LhQi5eXJyl24bJJNPptY9jmwTPqLaeTn/+fP7yl2S7u/Hnz+eHP8x3vpPpVPM3QfCMZBjMW8FfvJhz55IbD364HP9738vRo3noofz2t9ceiMsNEzyj2thYLOO3PeGH435vf3te97pcuJAvfGHxFeBA/3YInpEMwd5xR/bsSZILFxYT/kYND7i+99588YtJ8vOf5/jxTKeL7LkxgmdUGxuL4C9e3P4+/LCG//jH85735MqVfOMbeeqprK5a2N84wTOSYcJvbOSWWxbvDMFv+1Om0xw7ln37cupUjh279tHcAMEzqjvvXEz4JH/9a3IT++CzWe69N5/7XJIcP54f/ziTiT35GyR4RjLsgx88+MLgh/dv1NYw/8Qn8ra35Z//zBNPPO99/qfVZW8ARWazrK7m1a9evByC3/a1N8MZ+P3789Wv5ve/z/vfv/joyUT2L0nwjO3QoZw6lSR/+1suXsytt25/PT6sCh54YPFyPl+c5eel+G9ibBsbmc0ym+X06Zvdjc+/1/DzeebzTCZ58smcO7d4yX8neMYzRHr4cNbXc+RIjhz5P51Q+/rX88535pvfdO3dS5rMfSMyrqeeypkz2bcvBw/m0KFrZ+lu0nye970vP/tZDh3KiRO5775sbm7/wEALwfNKNqzn//jH3H9/zpzJBz6Q48dz662J4/YvzpKesc1muXo1m5v/j9X3cAb+8OF8+cuZTPLYY3n0Uan/DyY8r3DDgboLF/LhD+enP81dd+Xxx3P48GL483wmPK9ww5Dfuzdf+lIOHMjp03nkkWVv08uX4HnlW1nJ5mbe+tZ86lNJ8t3v5uRJR+xflAtv2BWGh+Z9+tM5eTJvfnPuuccJ+RdlH57dYthpf+65rK8vLr91+d1/EDy7yAsO1A2/2w7dXcdXILvIcABvNsv58/nRj/LQQ3nmGU+2vp59eHaX4Uaa3/0uH/1oLl/OkSN5+OFlb9PLiAnP7jIM+XvuydGjmUzyla/kN7/xhIwtgmd3Gdq+7bZ8/vN54xtz7lw+85llb9PLiODZdabTXLmSN70pDz+clZWcOJFvf9tp+YGj9OxGw2/1fJ4HH8yJE7nrrvzqV3nDG9xIZ8KzGw0L++k0X/ta9u/PmTP55Ce3+ZdudifBs0sNj8G677589rOZz3PLLZlOt//XancbS3p2tc3NXLqUxx7Lgw9m/37PuhQ8Nbauwyu+c9aSnt1uuGF+iPzXv86TT9bWHsGz+w0n5CaTPPpo3vWuHD2af/yj9hSd4Ckw7Lc++2wuX84TT+TYscXtdH3sw1NgPl+cgf/IR/L97+fAgZw8mbe8pfAWWsHTYWj7D3/IO96R06fz7nfnJz/J2lrSdf9s19cbvYY1/N1355FHMpvll7/ML36RySSbm8veslGZ8JSZz/Oxj+WBB/KhDy17U5ZA8JTZ2m+vPBsvePpsbmY+z2rj018a/820m04LZ/vAQTv6tNYewUMVwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORfwFX6GRnOWkMdAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.3074873228663173, -2.1405504827196853, 27.104344849625022])</answer>", "action": "('move', [2.3074873228663173, -2.1405504827196853, 27.104344849625022])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b1803dfceffb0d79912d8af82a08f4f10974cc4be619a00e1c48d901439f0132"}
+{"episode": 19897, "episode_seed": 2985210283, "split": "train", "timestamp": "2025-09-15T23:03:25.357028", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2985210283, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [39.44713526811075, -5.132754140140184, -21.78448335360237])</answer>", "action": "('move', [39.44713526811075, -5.132754140140184, -21.78448335360237])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [39.44713526811075, -5.132754140140184, -21.78448335360237])</answer>", "action": "('move', [39.44713526811075, -5.132754140140184, -21.78448335360237])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [39.44713526811075, -5.132754140140184, -21.78448335360237])</answer>", "action": "('move', [39.44713526811075, -5.132754140140184, -21.78448335360237])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIzElEQVR4nO3dS6xdZRnH4XetfVpsoFSkQAi0DoAJKmARnHBxQJVEkiYkxMYYCCUQmNkBlJA4gGACJMxkgIoQAiNBSAjoAMpFCcGCkXINGm0JyEUCyr2nZ6/PwS4hkkKBaE/2/j/P8JzJl6zz2+/aZ31rra61VkCGfrEXAOw9gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggs/V2mKvgL1O8KEWFmoYNB+na455mNaqtep91Edy2ON0XfV93XRTXXBBvfBCVdUwLPaa2FvmFnsB7D3DUH1fTz9dGzfWgw/W/HwdcUTbtKmb/JwEjnOQrquqOuig+tPjNT9fo1HdfHP9/W81N2fIpxB8kK6rYaiDD66LL2lV1ff1zDPttl83tefwT7ssrVXX1Vtv1dFHDy+/3FfVqlXDQw/1q1fv+hWzzYTP0nXVWu2/f112WTcMbTSq7du7W25pVWqPYMLHmRzw11+v75zann2u6/vaf/nw7HP9IYcY8rPPhI8zGfIrV9aPN1ZrQ9/Xm//qr712sZfFXmHCJxqG6rp65ZVat65t2dL1fa1YUU88UYcdVlUu0c0yxzZR39d4XIceWhs2dEuXVtfVm2/WVVdV39tsO+MEH2o0qvG4zjqrjjuuxuPq+rr99vbsM23yWcCsEnyoyTf5Aw+sc8+tpUurql59tfvZdV3X7foVM8l3+GjjcY3HdeIJw9Yn+6o6aOXw2991a9Z043GNRou9OP4PTPhoXVdLl9Ylm/rW2mhUr/2zv/HGbhj7Mj+zTHiqtfrW8cOfn+iravm+7YEHu2O/Wc0dNbPIIU032Wxz+RX9MAx9X/9+u7vuuqFaU/tMMuGpqtqxo313bXvo9/1oVEtG7dEt3THH2Hg3g3yMU8NQ++zTXXppVzV0fX0w3/30CjfQzSbBs+s63MmndGec0S3srL6ru+7uH3lk1+20zBLBU11X43Htt19dcH5btmzoR/X+B3X11TUMgp81gqfqw413p63t167tFxaq72vz5rrvvpqbq4WFxV4c/zuCp+rDs/ply+r882v58qqqt9+u66+v+XnX5GeK4NllMsxPP71OOqkNQ41Gdc89w+Z7B7vrZ4ng+Ujf19xcbdrUfWmf1lq9/37/8192779Xo5EhPyMEz0cmZ++nnlrfO22YDPk77mh/eLi5nWZmCJ7d+MnloyWjSeL9NVe3nfM23s0Ih5H/Mtlat2ZNW7++Te6Zu/e+2nx/V14+ORNsreXjJg/AevzxOuXkYcd836q+ffz4kT+6XXYWmPB83IdDvs4+uxuG6rt6dEt/221V3kI3/QTPx0023vV9nXde+8qXh6FVq+6aa9qOHYKfeoJnNyZvmzvhxP6sH/RtqK6rrVu7W2+18W7qCZ7dmwzziy6qlSurqnbsqBtuqDfe8MS76SZ4dm9ursbjOvbYOvPMaq1Go3rsseHO37TJrnumlOD5RJNhfvHFtWJFtVbz8/2vbqrXXqvRyJf5aSV4PtFks82RR9a55wzDUEuW1MMPt3vuHqqqnNVPJ9fh+TSTp1y9+GJ97ej27nvdMNQ3vt7uf6A74IAqL5ydQiY8n2aS9OGH18aNbTyuubna+mTdeUeT+pQy4dmDyR/Itu11ykntHy931Wr16uGpp/t9913slfH5mfDsweRfd19dXRdeWMPQ+lFt297/4vpWNt5NIROePZvcRfPXv9T3z2jPP9/1fa1aNTz1VL/ffh5lPWVMePZsNKqFhTryqPrRD1vft9GoXnqpv/LKqnJNfsoIns9k8sjqc87tjzqq27mzFhZq27aq8jCcKTO32AtgOkyG/OrVtX593XVXbdhQ69ZVuTI3bXyH57NqrVqrd96pd9+tQw9d7NXwhQieL2I8rq7zetnp45Sez2cy50eefzOdTHgI4pwMgggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwH8swICCFeZPsAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "86c5e715f9e87570cc871e8e5674c94d4eef288fc9ffa7840afdf39c0702e64f"}
+{"episode": 19898, "episode_seed": 1302657230, "split": "train", "timestamp": "2025-09-15T23:03:25.996866", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1302657230, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.334022081082344, 1.6880413384133321, 41.980260534378544])</answer>", "action": "('move', [6.334022081082344, 1.6880413384133321, 41.980260534378544])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.334022081082344, 1.6880413384133321, 41.980260534378544])</answer>", "action": "('move', [6.334022081082344, 1.6880413384133321, 41.980260534378544])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.334022081082344, 1.6880413384133321, 41.980260534378544])</answer>", "action": "('move', [6.334022081082344, 1.6880413384133321, 41.980260534378544])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e499a382b15b8192f923fe250a36d90b593c64093efa048e0ff90e8709108fa4"}
+{"episode": 19899, "episode_seed": 1602304253, "split": "train", "timestamp": "2025-09-15T23:03:27.010799", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x152fa9015a20>", "max_steps": 10, "abs_size": 336, "master_seed": 240, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1602304253, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.03004701689613, -0.6756448224146018, -19.775824796228374])</answer>", "action": "('move', [-6.03004701689613, -0.6756448224146018, -19.775824796228374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.03004701689613, -0.6756448224146018, -19.775824796228374])</answer>", "action": "('move', [-6.03004701689613, -0.6756448224146018, -19.775824796228374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.03004701689613, -0.6756448224146018, -19.775824796228374])</answer>", "action": "('move', [-6.03004701689613, -0.6756448224146018, -19.775824796228374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGP0lEQVR4nO3bT6tc9RnA8WfmRjdZSDYpbgRvKYqIVhNCKJSURrCUkva1+D58G+5bWy0NhZS02biIJUqXkkA29g8EF8FcZ04X9/ZG09I0op2E7+fDXcw9M8P5bb73mfObc1fLsgzQsN71AoD/H8FDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhZMfBL8tuzw8tJ3Z7+tVqlmW221mtjn6Ab88uJ/yyzGefzWo1e3uzXs+yzMHBbDbGPnxbVsvu8jo4mF/8fLnwo9W5c7O/P889d3R8u53NZtbrWa/NfPgm7Tj4p58+evz663P+/Jx5bXv23PqVV44OHn/aX9tbhG/CLoO/d29OnpyZ2W5nuz08tt3fX7/wwnLmteXHb6wvXHgw9cPFGvvw9ewy+M1mzp6dDz/892eWmTl1avWd08v5c9ufXtp74+KcOvWVVxz+gbDPB49kl8HPzOefzyefzHvvzbu/3Hz8l/WdO6t795aZr0S8tzcnT87583Pp0ly8OM8+uzzzzP0XHBwc7fkBD7Xj4L/s00/n8uXld7/d3vh479bN+fs/jso/3MD/1zK3Z74/P/nZ+oc/WL77vXn++dXe3k4XDU+U3Qd/eP5luT+l796dP15drv1pe/3Pe9evz61bR8efempm5uDg8LfN/v76woXVq6/Om2/Oiy/OdmvOw0PsPvhjh3vy2+1R2DPzxRfz0Udz48Z88MFcubLcuLEc3jhw4sSsVsflz9tvz1tvzcHB/TcC/9FjFPyxZZnNZrbb+1/azczt23Pz5nL16uo3726vXZvNcjTNT5+ed96Zixdnsxkf7+G/exyDP3Y485dlTnzpDuC7d+dvf50rf5hf/2pz+ffrl19evf/+nDw5y2LHHh7isQ7+2PGm3QNX6XfuzO3b89JLLuDhf/JkBP+A4yUb6fBIdvzfcl/PceduvINH8kQGf0zq8Ehc+EKI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BDyTxGw81PPHI+VAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "86ab99370fba0e4db472aafe23d7b28065f7d05e4a0c549d68659de4c7bc932b"}